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Author SHA1 Message Date
Patrick Buckley 83577739e0 chore: bump version to 0.6.2
- MCP admin tab: database-backed server management, hot-reload,
  reconcile, unified config view, paste-based import
- Catch-up migration for builtin-admin permissions (017)
- `[all]` optional dependency group (@Burhan-Q)
2026-03-14 17:25:58 -07:00
Burhan 71d13936fe add "all" optional dep (#61) 2026-03-14 17:05:49 -07:00
Patrick Buckley 0cd061196c fix: catch-up migration ensuring builtin-admin has all 20 permissions (#63)
Migrations 011-016 each appended a permission to the builtin-admin role
via conditional UPDATE, but on some deployments these never applied.
Migration 017 idempotently sets the complete permission string rather
than appending incrementally.

Must be merged after feat/admin-mcp-servers (migration 016).
2026-03-14 17:03:21 -07:00
Patrick Buckley 19abc0cc65 feat: admin MCP Servers tab — database-backed MCP server management w… (#62)
* feat: admin MCP Servers tab — database-backed MCP server management with live status

Add MCP Servers admin tab (14th tab, System group) for managing MCP server
definitions via the database instead of static JSON config files.

Storage: `mcp_servers` table (migration 016), 6 CRUD methods on both SQLite
and PostgreSQL backends, `MCP_SERVER_MUTABLE` field allowlist.

Config priority chain: DB rows (if any enabled) → CLI `--mcp-config` →
`mcp.config_path` setting → none. Nodes auto-load from DB on startup via
`load_mcp_config(storage=)`.

Hot-reload: `reconcile_sync(storage)` diffs running servers against DB —
adds missing, removes stale, reconnects changed. `_db_managed` set tracks
DB-sourced servers so config-file servers (MCP_CONFIG env) are never removed
by reconcile. Per-server `AsyncExitStack` for clean teardown.

Reload pattern: console writes to DB then signals nodes via
`POST /_internal/mcp-reload` (update by reference, no config payload).

Console admin API: 7 endpoints under `/v1/api/admin/mcp-servers` (CRUD +
reload + import), `admin.mcp` permission, secret masking (env/headers
replaced with *** unless ?reveal=true), audit log sanitization.

Unified view: tab merges DB-managed servers with config-sourced servers
detected on nodes. Config servers shown as read-only rows with "config"
badge — no edit/delete.

Admin UI: 7-column grid with magenta status dots, transport badges,
single-column create/edit modal, paste-based JSON import (mcpServers format),
detail modal with per-node status. Mobile 3-column collapse, reduced-motion
support, backdrop-click dismiss, focus trapping.

SDKs: 7 methods on Python (async+sync) and TypeScript SDKs.

Also fixes: Settings tab permission gate (admin.users → admin.settings),
_ALL_PERMISSIONS list in governance.js (5 missing permissions added),
_internal/mcp-reload added to APPROVE_PATHS.

Docs: architecture.md (14 tabs), api-reference.md (7 endpoints),
20-mcp-architecture.puml updated with admin-driven lifecycle.

66 new tests (2232 total).

* fix: address Copilot review feedback on MCP admin PR

- Docs: fix "merges both sources" → "first-match-wins priority" (architecture.md)
- Validation: require command for stdio, url for streamable-http transport
- Validation: check args/headers/env types in import handler before storing
- Schema: add transport/command/url to McpServerStatus, source to McpServerDetail
- Thread safety: move all remove_server_sync mutations onto MCP event loop thread
- Regenerate OpenAPI JSON snapshots for TypeScript SDK
2026-03-14 17:02:50 -07:00
Patrick Buckley c5cdfc8f44 chore: bump version to 0.6.1 2026-03-14 13:19:40 -07:00
Patrick Buckley 8895bf07eb feat: admin Settings tab — form-based editor replacing "coming soon" … (#60)
* feat: admin Settings tab — form-based editor replacing "coming soon" stub

Section-grouped layout with collapsible headers for all ~40 ConfigStore
settings (model, session, tools, server, mcp, ratelimit, health, judge,
memory). Type-appropriate inputs: CSS toggle for bools, number with
min/max/step, select for choices, text for strings. Secret fields shown
read-only. Source badge (storage/default), amber restart indicator.

Inline save per field with dirty detection, row flash on success, reset
to default via styled confirm modal. Full WCAG keyboard accessibility
(Enter/Space on section headers, aria-labels, focus-visible). Mobile
responsive single-column at <700px. Reduced-motion safe.

* fix: Settings tab polish — help tooltips, context_window auto-detect, UX fixes

Settings UI:
- Help tooltips: ? button on ~25 settings with plain-English explanations
  and optional reference links (arXiv, Fowler, MCP spec). Click to toggle
  popover, Escape to dismiss, aria-expanded for accessibility.
- Sections start collapsed for scannable overview.
- Restart badge: hidden by default, shows when dirty, persists after save
  with amber glow. Positioned left of source badge.
- Secret row alignment fixed (transparent border matches input box model).
- Docs link in toolbar → Swagger UI Settings section.
- Number inputs: spin buttons hidden (Firefox/WebKit), empty value guard,
  numeric dirty detection (0.1 vs 0.10 no longer false positive).
- Secret reset button enabled when source=storage (clear legacy overrides).
- Space key repeat guard on section headers.
- Sidebar: sticky + max-height:100vh, no longer stretches with content.

Backend:
- context_window default changed from 131072 to 0 (auto-detect). Fallback
  lowered from 131K to 32K (realistic for local models when detection fails).
  Session normalizes 0→32768 defensively.
- Settings registry: help + reference_url fields on SettingDef, richer
  descriptions for model/session/tools/judge/memory settings.
- Schema API includes help + reference_url.
- Bootstrap system prompt: added Runtime Settings section.

Docs: tab counts updated to 13 across README, architecture, console, governance.
2026-03-14 13:12:40 -07:00
Patrick Buckley 101afd84da feat: database-backed settings (ConfigStore) with admin API (#59)
* feat: database-backed settings (ConfigStore) with admin API

Replace config.toml for non-bootstrap settings on the server with a
database-backed ConfigStore.  ~40 settings across model, session,
tools, server, mcp, ratelimit, health, judge, and memory sections are
now managed via the admin Settings API.  CLI flags for these settings
removed from the server entry point (CLI standalone tool unchanged).

Storage: system_settings table (migration 015) with composite PK
(key, node_id) for per-node overrides.  ON CONFLICT upsert in both
SQLite and PostgreSQL.  admin.settings permission granted to
builtin-admin role.

Settings registry (settings_registry.py): code-defined catalog of
all known settings with types, defaults, validation, descriptions.
Registry defaults aligned with previous argparse defaults.

ConfigStore (config_store.py): thread-safe in-memory cache loaded
from storage on init.  Lock-free reads via dict snapshot swap.
reload() for hot-reload via internal endpoint.

Secret settings (judge.api_key) blocked from write via admin API
(403) — must be configured via config.toml or env vars.

warn_migrated_settings() logs warnings for config.toml keys that
overlap with ConfigStore-managed settings.

Console admin API: GET /v1/api/admin/settings (list with effective
values), GET .../schema (registry catalog), PUT .../{key} (update),
DELETE .../{key} (reset to default).  Audit trail on mutations.

MQ: ConfigChangeEvent for cross-node cache invalidation (emission
from console deferred to bridge integration).

Python + TypeScript SDK methods.  63 new tests.  Feature docs at
docs/settings.md, PlantUML diagram 24-settings-architecture.

* fix: address PR review — config-reload scope, registry defaults, doc alignment

- config-reload endpoint requires approve scope (was write)
- config-reload handler is sync def (avoids blocking event loop)
- reasoning_effort passes empty string through (removes `or "medium"`)
- ratelimit.requests_per_second changed to float (matches RateLimiter)
- session.retention_days allows 0 (disable pruning)
- ratelimit.trusted_proxies added to registry + wired in server
- admin_list_settings filters to global settings only (no node_id ambiguity)
- admin_update_setting validates "value" key presence (400 if missing)
- Console config change fans out reload to nodes directly (no MQ dep)
- Docs aligned with actual API response shapes and masking ("***")
2026-03-14 11:42:18 -07:00
Patrick Buckley efd98712e9 feat: [memory] admin panel Memories tab — browse, search, inspect, de… (#57)
* feat: [memory] admin panel Memories tab — browse, search, inspect, delete

Add 13th admin tab in the Observe group for cluster-wide memory
management.  List view with type/scope filter dropdowns and debounced
search input.  Detail modal shows full metadata grid and scrollable
content block.  Delete from both list row and detail modal with
confirmation and audit trail.

Permission-gated behind admin.memories.  Escape key, backdrop click,
and focus trap wired for the detail modal.  Mobile responsive: hides
description and updated columns below 700px.

* fix: memory detail modal — focus, delete safety, CSS shorthand order

Address Copilot review feedback: move focus to close button on modal
open for keyboard accessibility, disable delete button and clear stale
handler during loading/error states to prevent wrong-memory deletion,
and fix font shorthand/font-size ordering in toolbar filter styles.
2026-03-14 02:42:43 -07:00
Patrick Buckley 67f43a7ee0 feat: [memory] REST API endpoints + SDK methods + docs (#56)
* feat: [memory] REST API endpoints + SDK methods + docs

Server API (4 endpoints):
- GET /v1/api/memories — list with type/scope/scope_id/limit filters
- POST /v1/api/memories — save (upsert) with validation
- POST /v1/api/memories/search — search by query (read scope)
- DELETE /v1/api/memories/{name} — delete by name+scope

Console admin API (4 endpoints):
- GET /v1/api/admin/memories — list all memories
- GET /v1/api/admin/memories/search — search with ?q= param
- GET /v1/api/admin/memories/{memory_id} — get by ID
- DELETE /v1/api/admin/memories/{memory_id} — delete by ID with audit

Storage: add delete_structured_memory_by_id, add mem_type filter to
count_structured_memories. Auth: memory DELETE requires write scope,
admin.memories permission added to valid set + builtin-admin role.

Python SDK: list_memories, save_memory, search_memories, delete_memory
on both server (async+sync) and console (async+sync) clients.

TypeScript SDK: matching methods + types on both clients.

Pydantic schemas with Literal type/scope validation, OpenAPI endpoint
specs on both servers. 33 endpoint tests + 8 auth scope tests.

Docs: docs/memory.md feature guide, api-reference.md endpoint docs,
23-memory-architecture.puml diagram.

Also fixes stray `total: int` on CreateChannelUserRequest.

* fix: [memory] address PR review — cross-user scope, schema types, snapshots

Security: user-scoped memory endpoints now bind scope_id to the
authenticated user's identity.  Providing a mismatched scope_id
returns 403, preventing cross-user memory access on all 4 server
endpoints.

Schema: MemoryInfo response uses MemoryType/MemoryScope Literals.
SearchMemoriesRequest uses filter Literals (empty string allowed).
Limit query params declare schema_type="integer" for correct OpenAPI.

Regenerate sdk/typescript/openapi-{server,console}.json snapshots.
Update count_structured_memories docstring for mem_type param.
Fix fallback response to use normalized name after save.

6 new security tests for user-scope access control.
2026-03-14 02:28:47 -07:00
Patrick Buckley 2888e8ce0a feat: MCP cluster-ops example — reference MCP server + SDK implementa… (#55)
* feat: MCP cluster-ops example — reference MCP server + SDK implementation

Standalone MCP server under examples/mcp-cluster-ops/ that exposes
tools for executing commands across a Turnstone cluster via the MQ
client SDK. Serves as a reference implementation for both MCP server
patterns (FastMCP, lifespan, tool handlers) and TurnstoneClient usage.

4 tools: list_nodes, run_on_node, run_on_nodes, run_on_all_nodes.
Parallel dispatch via asyncio.gather, raw ToolResultEvent output
capture, UTF-8 safe truncation, input validation, concurrency caps.

35 tests, ruff clean, mypy --strict clean.

* fix: address review feedback on MCP cluster-ops example

- Remove REDIS_SSL support (RedisBroker doesn't accept ssl kwarg)
- Move max-nodes check from _dispatch_parallel into tool handlers
  for consistent error shape (always returns {"error": ...} object)
- Propagate KeyboardInterrupt/SystemExit from asyncio.gather instead
  of swallowing them as per-node failures
- Fix _truncate omitted bytes count to reflect actual bytes dropped
  after multi-byte boundary adjustment
- Apply strip/dedup to node IDs in run_on_all_nodes (matching
  run_on_nodes behavior)
- Add __name__ guard to __main__.py
- Fix misleading UTF-8 byte count comment in tests
2026-03-14 02:23:43 -07:00
Patrick Buckley d1a248b413 feat: [memory] config section — configurable relevance_k, fetch_limit… (#54)
* feat: [memory] config section — configurable relevance_k, fetch_limit, max_content, nudge_cooldown, nudges

MemoryConfig dataclass in memory_relevance.py, constructed from
config.toml [memory] section via argparse defaults. Replaces
hardcoded constants in session.py. Master nudges=false switch
disables all metacognitive prompting.

* fix: wire memory config into apply_config and correct error wording

Add "memory" to apply_config sections so [memory] config.toml values
actually propagate. Fix "byte limit" → "character limit" since
len(content) measures characters.
2026-03-14 00:51:27 -07:00
Patrick Buckley 723cad24bb feat: structured memory system — typed/scoped memories with BM25 rele… (#53)
* feat: structured memory system — typed/scoped memories with BM25 relevance and metacognitive prompting

Replace flat key-value memories table with structured_memories (migration 014).
Four memory types (user/project/feedback/reference), three scopes
(global/workstream/user). Consolidate remember/recall/forget into two tools:
memory (action-based: save/search/delete/list) and recall (conversation
history only).

BM25 relevance scoring (extracted to turnstone/core/bm25.py) selects top-5
memories for system message injection based on conversation context.
Metacognitive prompting injects ephemeral nudges after corrections, tool
denials, workstream resume, and completion signals.

Scope isolation enforced: system message injection and nudge counts filtered
to visible memories only (global + current workstream + authenticated user).
User scope requires authentication. Content capped at 32KB. ILIKE/LIKE
metacharacters escaped in both backends.

113 new tests (2053 total).

* fix: CI failure + copilot review feedback

- Fix time.monotonic() cooldown: use None sentinel instead of 0.0
  default (monotonic clock starts at boot, not epoch — fresh CI
  runners have uptime < 300s so cooldown check always triggered)
- Catch sa.exc.IntegrityError specifically in upsert instead of
  broad Exception (copilot review)
- Preserve existing description/type on upsert when caller doesn't
  explicitly set them (copilot review)
- Add last_accessed + access_count columns to schema/migration for
  future LRU/LFU eviction support
2026-03-13 21:21:09 -07:00
Patrick Buckley 73cacc8ad6 feat: admin panel — right-aligned sidebar navigation with two-column … (#52)
* feat: admin panel — right-aligned sidebar navigation with two-column modals

Replace the horizontal tab bar (11 tabs, overflowing on standard monitors)
with a grouped sidebar on the right side, matching the admin button's
position in the header for natural spatial flow.

Sidebar: 5 groups (Identity, Automation, Governance, Observe, System) with
12 nav items including new Settings stub. Always visible on desktop (180px),
off-canvas drawer on mobile (<700px) sliding from right with backdrop.

Admin button: toggle behavior (click again to return to overview), active
state with amber highlight + top accent line, aria-expanded management.

Breadcrumb: shows active tab ("Admin / Users", "Admin / Audit", etc).

Modals: WS Template and Schedule create/edit forms restructured into
two-column grid (820px) with "Identity"/"Model Config" and
"Schedule"/"Execution" column headings. All modals gain max-height: 85vh
+ overflow-y: auto safety net. Modal z-index bumped to 600 (above sidebar).

Also: "Tokens" renamed to "API Tokens", redundant "Server default"
placeholders removed from model config fields, view fade-in transition,
comprehensive ARIA (grouped sidebar, aria-hidden on mobile, focus return
on drawer close), reduced-motion support.

* fix: address Copilot review — aria-orientation, settings permission gate, inert sidebar

- Add aria-orientation="vertical" to sidebar tablist for assistive tech
- Gate Settings tab behind admin.users permission so empty-state logic
  works correctly when user has no admin permissions
- Use inert attribute on mobile sidebar when closed to prevent keyboard
  focus from reaching off-canvas controls
- Add resize listener to sync aria-hidden/inert when crossing the
  700px mobile breakpoint
2026-03-13 19:50:35 -07:00
Patrick Buckley ccd1c1a9ad chore: bump version to 0.6.0
Workstream templates (#49), intent validation (#50), conversation schema redesign (#51).
2026-03-13 14:43:01 -07:00
Patrick Buckley 1295919613 fix: simplify conversation storage — atomic assistant rows with tool_… (#51)
* fix: simplify conversation storage — atomic assistant rows with tool_calls JSON

Replace the denormalized storage model (separate rows for assistant
content, tool_call, tool_result) with atomic assistant rows carrying
tool_calls as a JSON column. Eliminates the 100-line heuristic
reconstruct_messages function and its cross-turn merge bug.

Schema: add tool_calls TEXT column to conversations (migration 013).
Migration backfills existing data — merges tool_call rows into their
parent assistant row as JSON, renames tool_result to tool, deletes
consumed tool_call rows.

Session save path: assistant content + tool_calls saved in one
save_message call before tool execution (crash resilient). Tool
results saved as role="tool".

Extract shared storage utilities to _utils.py: row_to_dict, mutable
field frozensets, reconstruct_messages. Both backends import from
_utils — PostgreSQL no longer depends on _sqlite.py.

Includes denied/blocked tool call badge fix on resume: _build_history
detects denied results and propagates flag to parent assistant entry.
Frontend uses flag for correct badge-denied rendering. Denied tools
visually muted. role="status" on badges for accessibility.

Net -45 lines. 8 new tests for reconstruction, all 1914 tests pass.

* fix: migration 013 uses parameterized deletes and ordered downgrade

- DELETE of consumed tool_call rows now uses parameterized batches
  (chunks of 500) instead of string interpolation
- Downgrade rebuilds via temp table to preserve chronological id
  ordering when re-inserting tool_call rows
2026-03-13 14:26:05 -07:00
Patrick Buckley 09ea3d164d feat: intent validation v1 — advisory LLM judge for tool approvals (#50) (#50)
* feat: intent validation v1 — advisory LLM judge for tool approvals (#50)

Two-tier evaluation pipeline for non-auto-approved tool calls:
- Heuristic tier (instant): 23 pattern-based rules across 4 severity
  levels (critical/high/medium/low) with first-match-wins priority
- LLM judge tier (async): multi-turn evaluation with read_file/
  list_directory tool access, security-hardened path blocking, forcing
  message on final turn, four-stage JSON parsing with retry nudge

Progressive UI: heuristic verdict badge + judge spinner, LLM verdict
upgrade via intent_verdict SSE event, glow on action buttons. Verdict
persisted to intent_verdicts table for audit. Prometheus metrics for
verdict counts and LLM latency. Enabled by default (--no-judge to opt
out). 132 new tests (1938 total).

Integration: session, server/WebUI, CLI, MQ bridge, console admin API,
Discord channel adapter. Config via [judge] in config.toml or CLI flags.

* fix: address PR #50 Copilot review feedback

- Fix double JSON encoding of func_args in both heuristic and LLM
  verdict persistence paths — use pre-serialized string from verdict
- Fix confidence 0.0 treated as falsy in channel verdict formatter
- Fix timestamp format inconsistency in storage backends (isoformat
  vs strftime) — now uses strftime consistently
- Add on_intent_verdict to eval.py NullUI (mypy fix)
- Fix late verdict after approval resolved — store last decision and
  apply immediately to late-arriving verdicts
- Add permission rollback to migration 012 downgrade
- Update docs to reflect judge enabled by default
- Document confidence_threshold as reserved for v2

* fix: judge per-call timeout and credential recon heuristic

- Wrap create_completion() in ThreadPoolExecutor with per-call timeout
  to prevent indefinite hangs on slow local models. On timeout, replace
  the executor so subsequent batch items don't queue behind lingering
  API calls
- Add IntentJudge.shutdown() and wire into session.close() for cleanup
- Add credential-recon heuristic rule: /etc/passwd, /etc/shadow,
  /etc/master.passwd access flagged as HIGH/review (reconnaissance
  pattern even though the command itself is read-only)
- 3 new tests for credential file access patterns

* fix: denied/blocked tool calls show correct badge on resume

- _build_history() detects denied results ("Denied by user") and
  blocked results ("Blocked") and propagates denied flag to parent
  assistant entry for frontend consumption
- Frontend history replay uses denied flag for badge-denied class
  instead of hardcoding badge-approved for all historical tool calls
- Denial feedback always prefixed with "Denied by user:" so content
  detection works with custom user feedback
- Denied tools visually muted (opacity 0.55, muted tool name)
- role="status" on all approval badge elements (accessibility)
- Broadened "Blocked" prefix match (catches "Blocked by tool policy")
2026-03-13 04:12:46 -07:00
Patrick Buckley 02d9c5c797 feat: workstream templates — behavioral profiles for workstream creation (#49)
* feat: workstream templates — behavioral profiles for workstream creation

Workstream templates define the complete configuration for workstream
creation: system prompt, model, auto-approve policy, per-tool
auto-approve, temperature, reasoning effort, max tokens, agent max
turns, token budget, and completion notifications. Applied once at
creation time (snapshot, not live binding). Auto-versioning captures
pre-update state on every edit.

Schema & storage:
- workstream_templates + workstream_template_versions tables (migration 011)
- ws_template_id/ws_template_version columns on workstreams table
- ws_template column on scheduled_tasks table
- Full CRUD + versioning on SQLite and PostgreSQL backends
- prompt_template_hash (SHA-256) for drift detection

Runtime:
- Template resolution before mgr.create() for model override
- Post-creation settings application (prompt, temperature, approval, budget)
- Token budget enforcement in session.send() — 80% warning, approval gate
  at 100% via __budget_override__ synthetic tool
- WebUI.auto_approve_tools server-side per-tool auto-approve
- Prompt template drift detection (hash comparison, log warning on mismatch)

Integration:
- ws_template field on CreateWorkstreamMessage, bridge, channel router,
  scheduler dispatch, MQ client
- Console admin "WS Templates" tab (11th) with CRUD, version history modal
- Profile dropdown on workstream creation modal
- WS template dropdown on scheduler create/edit modals
- Prompt template name validation on ws_template create/update
- 7 console admin API endpoints + read-only summary endpoint
- Full OpenAPI spec entries in console_spec.py
- Python SDK (sync + async) and TypeScript SDK methods
- Pydantic schemas for all request/response models

Docs & diagrams:
- New 21-ws-template-architecture.puml sequence diagram
- Updated governance, storage, MQ protocol diagrams + PNGs
- Updated architecture.md, governance.md, api-reference.md, console.md, sdk.md

48 new tests (1788 total). mypy clean. ruff clean.

* fix: address PR #49 review feedback

- auto_approve_tools uses approval_label (not just func_name) for
  consistency with tool policy evaluation
- inline system_prompt from ws_template persisted as
  _ws_template_system_prompt in workstream_config, restored on resume
  (previously lost because _template_content wasn't persisted)
- budget gate (__budget_override__) no longer bypassed by blanket
  auto_approve — requires explicit approval or tool policy allow
- diagram 21 field list corrected (removed tool_search/threshold,
  added prompt_template_hash/notify_on_complete)

* fix: address PR #49 review feedback (round 2)

- Grant admin.ws_templates permission in migration 011 (tab was hidden)
- Center WS template modals and fix radio button alignment
- Skip template validation when ws_template overrides prompt
- Guard against empty version snapshots on no-op updates
- Replace setTimeout race with Promise chain in schedule ws_template select
- Validate numeric fields in admin create/update handlers (400 not 500)
- Add ws_template to TypeScript OpenAPI specs
- Use typed Pydantic response models in SDK ws_template methods
2026-03-12 21:06:51 -07:00
Patrick Buckley f1f448277f chore: bump version to 0.5.6
Prompt template runtime wiring, security hardening, scheduler/channel/MQ
template support, migration 010.
2026-03-12 16:58:20 -07:00
Patrick Buckley 2f7f70825b feat: wire prompt templates into session startup with full creation-p… (#47)
* feat: wire prompt templates into session startup with full creation-path support

Prompt templates (prompt_templates table) now have runtime effect:

- is_default=true templates auto-apply as system message content,
  concatenated in name order before user instructions
- Per-workstream template selection via --template CLI flag, template
  field on POST /v1/api/workstreams/new, console creation modal dropdown,
  scheduled task config, and channel adapter config
- {{model}}, {{ws_id}}, {{node_id}} variable substitution via single-pass
  regex (prevents cross-variable injection)
- /template slash command for runtime switching, persisted across resume
- set_template() public API on ChatSession

Security hardening:
- MCP sync resets is_default=False on content update (prevents compromised
  server from injecting defaults)
- 32KB content cap on template create/update + defensive truncation
- Template existence validation returns 400 before workstream creation
- Single-pass regex eliminates cross-variable expansion

Template field plumbed through all creation paths: CLI, server API, MQ
protocol/bridge, console backend, scheduler dispatch, channel router,
MQ client. Migration 010 adds template column to scheduled_tasks.

Frontend: console workstream modal template dropdown, scheduler
create/edit template field, governance template UI variables auto-detected
from content (read-only display replaces editable input). Focus trap and
Enter-key accessibility fixes in workstream modal.

Docs: governance.md template runtime section, api-reference.md template
field, governance + MCP architecture diagrams updated.

Python + TypeScript SDKs, Pydantic schemas all updated. 29 new tests.

* fix: address PR #47 review feedback

- Defer template validation until after resume_ws — a bad template name
  no longer 400s when resume would have ignored it anyway
- Add template field to OpenAPI JSON specs (openapi-server.json,
  openapi-console.json) for SDK/docs consistency
- Validate template existence in schedule create and update endpoints —
  reject unknown template names with 400 instead of allowing schedules
  that would silently fail at dispatch time
2026-03-12 16:57:31 -07:00
Patrick Buckley 4866c9873c feat: ddgCluster compose profile with DuckDuckGo Search MCP sidecar (#48)
Add ddgCluster profile extending the 10-node cluster with a DuckDuckGo
Search MCP sidecar. All cluster nodes connect via streamable-http and
gain duckduckgo_web_search + duckduckgo_fetch_content tools. No API
key required.

Key implementation details learned during testing:
- MCP SDK DNS rebinding protection must be disabled for Docker
  internal networking (Host header uses container names)
- FastMCP server binds to 127.0.0.1 by default; must set
  mcp.settings.host='0.0.0.0' for cross-container access
- DDG CLI lacks --host/--port flags; settings configured via Python
  entry point that patches FastMCP.settings directly
- Safe search disabled by default

Also adds MCP_CONFIG env var support to all server commands (shell
conditional, no-op when empty) and moves default server/bridge to
production profile for cleaner profile separation.
2026-03-12 16:51:53 -07:00
Patrick Buckley 8b2e2130fc fix: MCP resource template URI expansion via prefix matching (#46)
* fix: MCP resource template URI expansion via prefix matching

Resource templates (RFC 6570 URI patterns like `db://tables/{table}/rows/{id}`)
were discovered from MCP servers but non-functional — `read_resource_sync()`
only accepted exact URIs from `_resource_map`, which excludes templates.

Add prefix-based fallback: extract the static prefix from each template
(everything before the first `{`), store a prefix→server mapping, and
fall back to longest-prefix matching when exact URI lookup fails. MCP
servers handle URI routing internally so we just need to route the
expanded URI to the correct server.

Also surface templates in the system message catalog and `/mcp` command
so the model knows they exist and can construct expanded URIs.

* fix: address PR #46 review feedback

- Template prefix collision now keeps more specific (longer) template
  URI instead of blindly overriding
- Fix _match_template docstring to accurately describe startswith
  matching on static prefixes (not full template matching)
- Add missing loop.close() in integration test finally block
- Rewrite test_template_longest_prefix_wins with genuinely different
  prefix lengths to avoid brittle collision-order dependency
2026-03-12 15:46:00 -07:00
Patrick Buckley f81c06761d chore: remove dead code, add MCP integration + collector tests (#45)
* chore: remove dead code, add MCP integration + collector tests

Remove unused delete_prompt_templates_by_server from protocol and
both storage backends (sync uses per-template deletion).

Add 10 MCP integration tests exercising full lifecycle: rebuild
resources/prompts, read_resource_sync/get_prompt_sync with real
asyncio loop, governance sync to real SQLite, shutdown cleanup,
listener notification isolation.

Add 3 console collector MCP aggregation tests: multi-node sums,
absent when zero, mixed nodes with/without MCP.

* fix: close event loops and SQLite backend in MCP integration tests
2026-03-12 15:16:51 -07:00
Patrick Buckley be165c1971 feat: MCP resource and prompt discovery with read_resource tool (#44)
* feat: MCP resource and prompt discovery with read_resource tool

Extends MCPClientManager with resource and prompt discovery alongside
existing tool support. Resources and prompts are discovered on connect,
cached per-server with copy-on-write rebuilds, and refreshed via push
notifications, periodic polling, or manual /mcp refresh.

New read_resource built-in tool reads MCP resources by URI. Requires
user approval (same as MCP tool calls) since resources are served by
external MCP servers. Resource catalog injected into system message
with XML delimiters. Error messages sanitized to prevent leaking
server internals to the model.

Prompt discovery stores prefixed names (mcp__server__prompt) and
exposes get_prompt_sync() for future use_prompt tool (Chunk D).

/mcp command now shows tools, resources, and prompts. Docs and
diagrams updated.

* feat: MCP prompt governance sync with origin tracking and readonly guards

Migration 009 adds origin, mcp_server, and readonly columns to
prompt_templates. MCP prompts discovered by MCPClientManager are
automatically synced into the governance table as read-only templates
with origin="mcp".

Sync engine handles: create on connect, update on prompt refresh,
delete when prompts are removed from server. Manual templates take
precedence on name collision (MCP prompt skipped with warning).

Admin API returns 403 on update/delete of readonly templates. Console
UI shows MCP origin badge and disables edit/delete buttons. Storage
backends gain get_prompt_template_by_name, list_prompt_templates_by_origin,
and delete_prompt_templates_by_server methods.

Also addresses PR #44 review feedback: concurrent.futures.TimeoutError
handling in sync dispatch, XML-escape resource catalog descriptions,
resource template entries excluded from _resource_map, URI collision
warnings, needs_periodic capability-aware computation, malformed JSON
primary key fallback for read_resource.

* feat: use_prompt tool, prompt catalog, and PR review hardening

New use_prompt built-in tool invokes MCP prompt templates by name,
expanding them into messages. Requires user approval (external MCP
servers). Prompt catalog injected into system message with XML
delimiters (up to 30 prompts, HTML-escaped).

Prompt listener registered in session for catalog rebuild on changes.

Addresses PR #44 review feedback:
- _init_system_messages() now uses copy-on-write (build locally,
  assign atomically) so background thread callbacks never see
  partial system messages
- sync_prompts_to_storage() serialized behind _sync_lock to prevent
  races between set_storage() (main thread) and MCP background thread
- shutdown() clears listener lists to release callback references

Docs and diagrams updated for 18 built-in tools.

* feat: granular tool policies for MCP resources, prompts, and tools

Policy evaluation now uses approval_label (falling back to func_name)
for fnmatch pattern matching, enabling fine-grained per-URI and
per-server policies:
- read_resource: mcp_resource__{normalized_uri}
- use_prompt: mcp__{server}__{prompt} (prefixed name)
- MCP tools: mcp__{server}__{tool} (was static "mcp_tool")

URI normalization resolves .. path segments to prevent traversal
bypasses in policy matching. Resource templates filtered from system
message catalog (not directly readable). use_prompt arguments
validated as dict with string coercion.

TypeScript SDK PromptTemplateInfo gains origin, mcp_server, readonly
fields. Governance docs updated with MCP policy patterns.

* feat: MCP visibility in server and console UIs

Server health endpoint includes mcp.servers, mcp.resources, mcp.prompts
counts. Server UI status bar shows magenta MCP indicator with tooltip.
Console cluster status bar shows MCP metrics with magenta LED dot.
Console node detail view shows per-node MCP summary. Console collector
aggregates MCP counts across nodes in overview.

Uses var(--magenta) design token with new --magenta-glow for theme
adaptation. ARIA roles on MCP status elements. Tooltips on console
MCP metric labels. Node MCP summary hidden on mobile (< 700px).

New diagram: 20-mcp-architecture.puml covering full MCP lifecycle
(connection, discovery, refresh, governance sync, policy, UI).

* fix: McpStatus in health schema, count properties, catalog name fidelity

Adds McpStatus model to HealthResponse (Python + TypeScript SDKs) so
typed clients see the mcp field from /health.

Addresses Copilot review feedback:
- resource_count/prompt_count properties avoid list allocation on
  /health and /metrics polls
- get_tools/resources/prompts return shallow-copied dicts to prevent
  callers from mutating internal cache
- Prompt names and arg names in system message catalog are NOT
  HTML-escaped (model must use exact strings in use_prompt calls);
  only descriptions are escaped

* fix: OpenAPI spec McpStatus + diagram approval column accuracy

Adds McpStatus schema and optional mcp field to HealthResponse in
openapi-server.json, matching the Python schema and TypeScript types.

Fixes tool pipeline diagram: math, web_fetch, web_search correctly
shown as auto-approve (not "Yes" for approval).
2026-03-12 14:49:58 -07:00
Patrick Buckley 3264fdefca fix: channel bidirectional routing — emit TurnCompleteEvent on all id… (#43)
* fix: channel bidirectional routing — emit TurnCompleteEvent on all idle transitions

Bridge previously only emitted TurnCompleteEvent for MQ-initiated turns
(those with a correlation_id in _active_sends). Server-UI-initiated turns
went idle without emitting TurnCompleteEvent, so the Discord bot's
StreamingMessage never finalized — content accumulated in the buffer and
collided with the next Discord-triggered response.

Now TurnCompleteEvent is emitted unconditionally on every idle transition.
correlation_id is empty for non-MQ turns; SDK client filters by
correlation_id so existing consumers are unaffected.

* fix: remove unused variable flagged by ruff
2026-03-12 11:57:15 -07:00
Patrick Buckley 28cb3a5c51 fix: approval timeout UI state and content flush before tool calls (#42)
* fix: approval timeout UI state and content flush before tool calls

Two bug fixes:

1. Approval timeout now shows denied state in UI — resolve_approval()
   emits an approval_resolved SSE event so the browser transitions
   from pending to denied (red border + badge). Also fixes the cancel-
   during-approval path. Frontend resolveInlineApproval() gains a
   skipPost parameter to avoid redundant POST when server-initiated.
   ApprovalResolvedEvent added to Python and TypeScript SDKs.

2. Content streaming flushes pending buffer before tool call deltas —
   _stream_response() held up to 13 trailing chars in the pending
   buffer (for <think> tag detection) when transitioning to tool calls.
   Now flushed eagerly when tool_call_deltas arrive, before clearing
   in_think so reasoning text is correctly categorized.

* fix: address Copilot review feedback on PR #42

Patch _execute_tools in stream flush test to prevent real bash execution,
simplify confusing nested comprehension, and update resolve_approval()
docstring to reflect cancel/timeout call paths.
2026-03-12 11:43:06 -07:00
Patrick Buckley 8b11e0a6f9 fix: bridge retries node_id fetch indefinitely with capped backoff 2026-03-12 11:12:03 -07:00
Patrick Buckley 648ba477e1 refactor: list_user_roles uses _row_to_dict instead of positional row mapping 2026-03-11 21:14:58 -07:00
Patrick Buckley 7960784786 fix: usage events now record per-request tool_calls delta, not cumulative total 2026-03-11 21:12:03 -07:00
Patrick Buckley e06554d1ec feat: add channel admin endpoints to console OpenAPI spec 2026-03-11 21:08:28 -07:00
Patrick Buckley 8eb8722346 Bump version to 0.5.5 2026-03-11 20:24:12 -07:00
Patrick Buckley a2e2ffacd8 feat: robust plan quality gate, iterative refinement, and amend UX (#41)
* feat: robust plan quality gate, iterative refinement, and amend UX

Plan agent output from weak models often produced garbage (11-char plans
that echo the prompt). Two fixes:

1. Quality validation (_validate_plan) checks length, section structure,
   echo detection, and refusal patterns. Fails trigger one automatic
   retry with a coaching message injected into the agent's existing
   conversation, preserving all prior exploration context.

2. Iterative feedback loop — user feedback at plan review re-runs the
   plan agent via _refine_plan() instead of appending text to the tool
   result. Up to 5 refinement rounds. The plan file path is always
   included in the tool result so the outer model knows where it lives.

UI improvements:
- Web: Reject button dynamically becomes "Amend" (amber) when feedback
  is typed. Key hint badges (Esc/Enter) on plan buttons. Main input
  disabled during review. Light-theme contrast fix via --on-color var.
- CLI: Prompt shows all three actions (approve/amend/reject).
- Bridge: Race condition fix — clear pending entry before HTTP POST so
  sequential plan reviews from the refinement loop aren't skipped.

15 new tests covering validation, retry, and refinement.

* fix: address PR 41 review feedback

- Escape key in plan dialog now mirrors the Amend button: if feedback is
  typed, Esc sends the feedback (amend); if empty, Esc rejects. Previously
  Esc always hard-coded "reject", discarding typed feedback.

- Coaching message for plan retry now says "should include at least two of"
  instead of "MUST include these", matching the actual validation rule
  (_MIN_PLAN_SECTIONS = 2).

* feat: render plan inline in chat after approval

After the plan review dialog closes, the plan content is now rendered
as a collapsible inline block in the chat stream — styled with a
status header (approved/rejected/amending), markdown-rendered body,
and feedback note when amending. Uses the same makeCollapsible pattern
as tool output blocks.

* fix: prevent plan approval hang when inline render fails

The authFetch call that unblocks the server must fire before the
cosmetic inline plan rendering. Previously _addInlinePlan ran first
and any JS error (e.g. from renderMarkdown) prevented the API call,
leaving the session thread blocked forever.

- Move authFetch before _addInlinePlan
- Wrap _addInlinePlan in try-catch
- Guard against empty content
- Only auto-collapse plans longer than 12 lines

* fix: address PR 41 review feedback (round 2)

- Max refinement rounds no longer implicitly approve: the loop now
  shows the final plan for explicit approve/reject before proceeding.
  Previously exhausting 5 rounds silently accepted the last revision.

- Plan inline block: correct aria-label from "Tool output" to
  "Plan content" when makeCollapsible is applied.

- XSS concern (not applicable): renderMarkdown is used for all
  assistant messages — plan content follows the same trust model.

- Test loop concern (acknowledged): refinement tests verify component
  logic; full _execute_tools integration would require extensive
  mocking for marginal coverage gain.

* feat: thinking spinner + inline plan hardening

* fix lint
2026-03-11 20:22:41 -07:00
Patrick Buckley c6ba8d59b0 feat: bootstrap wizard — LLM-guided interactive setup for deployments
Add `turnstone-bootstrap`, a new entry point that uses any LLM (OpenAI,
Anthropic, or local/vLLM) to conversationally walk users through
configuring a Turnstone deployment. Generates .env files, setup.sh
scripts, and optional docker-compose overrides.

- Fully interactive startup (zero CLI args) with provider/model selection
- Auto-detects available models on local OpenAI-compatible endpoints
- 7 tools: read_file, write_file, generate_secret, check_port,
  validate_api_key, check_docker, finish
- Path traversal protection on file read/write
- Duplicate write detection (skips identical content)
- Bounded retry loop (3 attempts) on LLM errors
- Anthropic message conversion with consecutive-role merging
2026-03-11 01:58:39 -07:00
Patrick Buckley 087f5b49f6 Bump version to 0.5.4 2026-03-10 20:47:40 -07:00
Patrick Buckley fd507c6a3c feat: generation cancellation — stop button, cancel API, cooperative … (#40)
* feat: generation cancellation — stop button, cancel API, cooperative cancel

Add cooperative cancellation via threading.Event on ChatSession. The cancel
signal is set from outside the worker thread (HTTP handler, MQ bridge, or
Escape key) and checked at defined checkpoints: per streaming chunk, before
tool execution, inside bash commands, and at each sub-agent turn.

Core: GenerationCancelled(BaseException) exception, cancel()/_check_cancelled()
methods, partial content preservation in _stream_response, clean rollback in
send() with idle state emission (no re-raise).

Server: POST /v1/api/cancel endpoint, CancelledEvent SSE emission, worker
thread safety net.

Frontend: Stop button (■ Stop) with send/stop swap via setBusy(), Escape key
shortcut, cancelled event handler. Accessible: aria-label, focus-visible
override, light theme contrast, non-color differentiation.

MQ: CancelMessage inbound type, bridge _handle_cancel routed handler.

SDK: cancel() on Python async+sync clients, CancelledEvent in Python+TypeScript
event registries, isCancelledEvent type guard.

OpenAPI: CancelRequest schema + endpoint spec.

Docs: API reference, architecture, SDK docs updated. Diagrams: conversation
turn, tool pipeline, MQ protocol, workstream states, SDK architecture.

* fix: address PR #40 review feedback

- setBusy() now resets stopBtn.disabled so stop button is re-enabled on
  next generation after a successful cancel
- Gate cancel side effects (resolve_approval, resolve_plan, cancelled SSE
  event) on worker_thread.is_alive() to avoid spurious events when idle
- Add /v1/api/cancel endpoint and CancelRequest schema to TypeScript
  openapi-server.json to keep it in sync with Python-generated spec
2026-03-10 20:43:52 -07:00
Patrick Buckley 562c3c8ab7 docs: add governance section and missing diagrams to README 2026-03-10 19:50:07 -07:00
Patrick Buckley 4773535bb8 docs: add governance architecture diagram PNG 2026-03-10 19:41:35 -07:00
Patrick Buckley 7492816ab2 feat: governance — RBAC, tool policies, prompt templates, usage track… (#39)
* feat: governance — RBAC, tool policies, prompt templates, usage tracking, audit logging

Add comprehensive governance layer for the admin console:

- RBAC with 15 granular permissions, 3 builtin roles (admin, operator, viewer),
  custom role CRUD, user-role assignment with privilege escalation prevention
- Tool policies with glob pattern matching, priority-ordered evaluation
  (allow/deny/ask), enforced before auto-approve in WebUI.approve_tools()
- Prompt templates with variable substitution, categories, default flag
- Usage tracking: per-LLM-request token/tool metrics, aggregated queries
  (group by day/model/user), automatic 90-day pruning via scheduler
- Audit logging: append-only event trail for all admin mutations,
  filterable/paginated queries, automatic 365-day pruning, X-Forwarded-For
  aware IP extraction
- require_permission() enforced on all 35+ admin endpoints (users, tokens,
  channels, schedules, watches, roles, orgs, policies, templates, usage, audit)
- Field allowlists on storage update methods prevent mass-assignment bugs
- Self-deletion guard on admin_delete_user, delete_user cascades user_roles
- _row_to_dict helper eliminates ~400 lines of fragile positional row mapping
- _audit_context helper deduplicates 18 instances of audit boilerplate
- Migration 008: 7 new tables, 3 builtin roles, org_id on users
- Console admin panel: 5 new tabs (Roles, Policies, Templates, Usage, Audit)
  with permission-gated visibility, 7 modal dialogs, full keyboard accessibility
- Python + TypeScript SDK methods for all governance endpoints
- 120+ new tests (1554 total)

* fix: address PR #39 review feedback

- Rebuild serialized items after policy evaluation so denied/allowed
  verdicts are reflected in tool_info/approve_request SSE payloads
- Make `since` query param optional in usage OpenAPI spec (handler
  already defaults to last 7 days)
- Add response_model=StatusResponse to DELETE role/policy/template
  and POST/DELETE role assignment endpoints in OpenAPI spec
- Add missing org_id/created/updated fields to UserRoleInfo schema
- Add missing created field to AuditEventInfo schema
- Show "no permissions" empty state instead of loading inaccessible
  tab when all admin tabs are permission-gated
- Fix "13 permissions" → "15 permissions" in architecture.md and
  security.md
- Fix import sorting in test_audit.py and test_tool_policy.py

* fix: address PR #39 round 2 review feedback

- Clear stale permissions from sessionStorage on config-token login
  (auth.js _storePermissions)
- Only trust X-Forwarded-For when behind a proxy that sets
  X-Forwarded-Proto (conditional on is_secure_request trust model)
- Thread user_id from auth into WebUI.on_status for usage events
- Add created field to TS AuditEventInfo type
- Return typed Pydantic models from all SDK governance methods instead
  of dict[str, Any] — both async and sync clients
- Validate group_by param against allowed enum in admin_usage handler
- Add deterministic secondary sort (event_id DESC) to
  list_audit_events in both SQLite and PostgreSQL backends
2026-03-10 19:32:37 -07:00
Patrick Buckley d6ba1d5e25 fix: mypy no-any-return in agent context overflow handler 2026-03-10 14:11:09 -07:00
Patrick Buckley 41d1b27d34 Bump version to 0.5.3 2026-03-10 13:46:50 -07:00
Patrick Buckley 8bc284c60e fix: agent context overflow — truncate tool output, catch context errors
Agent tool outputs are now truncated to 16k chars to prevent search
results (14M+ chars observed) from blowing past the model's context
limit. On context-exceeded API errors, the agent returns its last
content instead of crashing.
2026-03-10 13:43:01 -07:00
Patrick Buckley a322d6b1d1 fix: sub-agent context — clean plan, merged task, no Qwen template error
Plan agent: own identity only (no base system prompt needed).
Task agent: base system prompt merged with task identity into a single
system message (needs tool patterns for tool execution).
Neither agent receives conversation history.

Fixes Jinja template error on Qwen models that reject system messages
appearing after non-system messages.
2026-03-10 13:36:23 -07:00
Patrick Buckley 70d495aa5b fix: per-workstream SSE fan-out — multiple consumers no longer steal … (#38)
* fix: per-workstream SSE fan-out — multiple consumers no longer steal each other's tokens

After 4d665a5 removed the single-consumer SSE lock, the shared
_event_queue let concurrent consumers (browser, bridge, console proxy)
race on Queue.get(), each receiving ~1/N of content tokens and producing
garbled streaming text.

Replace the single queue with per-client fan-out: each SSE connection
registers its own bounded queue (maxsize=500) on WebUI._listeners, and
_enqueue() copies every event to all registered queues. On eviction or
close, a ws_closed sentinel is injected so SSE generators exit promptly.

* fix: address CI failures and Copilot review feedback

- Handle ws_closed sentinel in events_sse generator (break on close)
- Guarantee sentinel delivery by evicting one item when queue is full
- Clear listeners list after injecting sentinels on cleanup
- Fix test_slow_consumer to fill only slow queue directly
- Fix ruff SIM117 (nested with), unused import, mypy unused-ignore
2026-03-10 13:25:16 -07:00
Patrick Buckley de64535221 Feat/eval improvements (#37)
* ci: add GitHub Release creation on tag push

* refactor: rename plan tool to create_plan

Rename plan → create_plan to resolve cross-provider tool selection
failures. Models consistently treated "plan" as a reasoning concept
rather than a callable tool. The new name is an unambiguous verb+noun
action. Also rename the parameter from prompt → goal for clarity,
add web_search to the default system prompt tool patterns

* feat: eval harness improvements inspired by autoresearch patterns

Major enhancements to turnstone-eval:

- Per-test timeout (--test-timeout, default 300s) and suite timeout
  (--suite-timeout) prevent stuck runs from blocking the suite
- Fast-fail skips remaining runs after ceil(n/2) consecutive zeros
- Summary table with colored PASS/WEAK/FAIL and append-only TSV output
- Progress reporting with running pass rate, token count, and ETA
- Parallel test execution via ProcessPoolExecutor (--parallel N)
- Per-role model assignment: test/optimizer/observer can use different
  models and providers (--optimizer-model, --observer-model, etc.)
  with auto-detection from base URL
- Improved optimizer and observer system prompts with structured
  failure-mode diagnosis, keep/discard rules, and trend analysis
- Fixed token counting (prompt tokens use last-turn value, not sum)
- Added math-calculation and web-search-query test cases
- Fixed multi-file-edit test (both files now contain the target string)

* fix: address Copilot review feedback

- Revert prompt token counting to sum (reflects billed usage)
- Add tool_args to fast-fail skipped run dicts for schema consistency
- Align approval_label with func_name ("create_plan")
- Add timeout to future.result() in parallel path (test_timeout + 30s)
- Document thread-leak trade-off on serial timeout path
2026-03-10 13:06:39 -07:00
Patrick Buckley 187d004033 feat: watch tool — periodic command polling within workstreams (#36)
* feat: watch tool — periodic command polling within workstreams

Add a new `watch` tool that lets the model (or user) set up periodic
polling of a shell command. Results inject as synthetic user messages
that trigger LLM turns, enabling reactive workflows like PR monitoring,
CI/CD status tracking, and deployment health checks.

Key design:
- Single tool with create/list/cancel actions
- Python expression DSL for stop conditions (restricted eval)
- Server-owned WatchRunner daemon (DB-persisted, survives eviction + restart)
- Three dispatch paths: idle, busy, and evicted workstream restore
- REST API for console visibility (GET /v1/api/watches, POST cancel)
- Migration 007, 8 storage CRUD methods, 75 new tests (1383 total)

* fix: address Copilot review — condition errors, restore deadlock, docs

- Condition eval errors now deactivate the watch immediately instead
  of silently looping until max_polls
- Restored (evicted) workstreams set auto_approve=True to prevent
  approval deadlocks with no connected user
- Tool description clarifies first-poll baseline behavior for change
  detection mode
- Diagram updated: DELETE → POST /v1/api/watches/{id}/cancel
2026-03-10 08:18:28 -07:00
Patrick Buckley 7ea150fa71 Bump version to 0.5.2 2026-03-09 13:42:28 -07:00
Patrick Buckley 4d665a5f62 fix: SSE reconnect loop — remove _sse_generation single-consumer lock
The _sse_generation mechanism assumed one SSE consumer per workstream,
but the bridge also maintains an SSE connection to each workstream.
When a new client connected (browser, proxy, or test), it incremented
the generation counter, killing the bridge's connection. The bridge
reconnected, killing the new client's connection — creating a
mutual-kill cascade that closed every SSE connection after one ping
cycle (5s).

Fix: remove _sse_generation entirely. sse-starlette handles disconnect
detection via its own ASGI task. Also remove the redundant
request.is_disconnected() check which raced with sse-starlette's
disconnect listener in Starlette 0.52.

Root cause confirmed via raw socket test: the server was sending
a zero-length chunked terminator (0\r\n\r\n) at exactly 5s,
cleanly ending the HTTP response body.
2026-03-09 13:40:36 -07:00
Patrick Buckley 3bc3250869 fix: recovered workstreams invisible in console UI (#35)
* fix: recovered workstreams invisible in console UI

Bridge startup recovery (_recover_workstreams) re-registered workstream
ownership but never published WorkstreamCreatedEvent to the cluster
channel. The collector's poll loop would pick up the workstream in its
internal state, but _apply_poll never fanned out SSE events to connected
browsers. Combined, this made channel-resumed workstreams invisible in
the console while remaining accessible through the proxied node UI.

- Bridge: emit WorkstreamCreatedEvent for each recovered workstream
- Collector: diff poll results and fan out synthetic ws_created/ws_closed
  events for workstream additions and removals
- Skip workstreams with empty IDs in poll processing
- Add 4 tests for poll-diff fanout behavior
- Update console data-flow diagram and architecture docs

* fix: address PR review — filter empty ws IDs, stable event ordering

- Filter empty-string keys from old_ids to avoid phantom ws_closed
  events if a previous poll inserted a workstream under key "".
- Sort set diffs before iterating so ws_created/ws_closed fanout
  order is deterministic across poll cycles.
2026-03-09 13:39:47 -07:00
Patrick Buckley db937486cf Bump version to 0.5.1 2026-03-09 01:48:18 -07:00
Patrick Buckley 554257ac4d fix: SSE proxy Firefox reconnect — Connection: keep-alive header 2026-03-09 01:46:35 -07:00
Patrick Buckley 5f0004dc91 feat: add ClusterSnapshot for instant console UI state rebuild (#34)
* feat: add ClusterSnapshot for instant console UI state rebuild

The console web UI was SSE-driven with no initial state — reloads and
navigation caused blank/loading gaps while waiting for API re-fetches.

Server-side: GET /v1/api/cluster/snapshot returns the full cluster state
(all nodes with workstreams + overview aggregates) built under a single
lock. The SSE stream now emits this snapshot as the first event on
connect (snapshot taken before listener registration to avoid race).

Frontend: local clusterState object mirrors the snapshot, patched
incrementally by SSE events. View navigation renders from local state
with no API round-trips. Fixes popstate/pushState history corruption
on Back/Forward navigation (pre-existing bug). Stable node sorting
with node_id tie-breaker on both server and client.

SDK: snapshot() method on Python (sync + async) and TypeScript console
clients. ClusterSnapshotEvent in event registries.

* fix: address review feedback and SSE proxy reconnect bug

Copilot review fixes:
- Atomic snapshot+register: new get_snapshot_and_register() acquires
  both state and listener locks, eliminating the event gap between
  snapshot read and listener registration.
- Debounce patch renders: patchClusterState uses requestAnimationFrame
  to batch rapid SSE events into a single recompute+render cycle.
- Fix health type: dict[str, str] → dict[str, Any] on all three
  console schema models (ClusterNodeInfo, NodeDetailResponse,
  ClusterSnapshotNode) since /health payloads contain nested objects.
- TypeScript ClusterSnapshotEvent: use concrete ClusterSnapshotNode[]
  and ClusterOverviewResponse types instead of Record<string, unknown>.

SSE proxy reconnect fix:
- _proxy_sse raw_stream now emits `: proxy-ping` comments every 3s
  when no upstream data arrives, preventing the browser EventSource
  from dropping idle connections. The raw byte passthrough refactor
  (4d11078) removed the proxy's independent keepalive — this restores
  it without reverting to EventSourceResponse.
2026-03-09 01:13:35 -07:00
Patrick Buckley 6cc1b3a5bd feat: add vision/image support to read_file tool (#33)
* feat: add vision/image support to read_file tool

read_file now detects image files (PNG, JPEG, GIF, WebP, BMP, TIFF, ICO)
and returns base64-encoded content parts for vision-capable models.
Non-vision models receive a text description instead. A new
supports_vision flag on ModelCapabilities gates the feature, with
config.toml [models.*.capabilities] overrides for local models
(vLLM, llama.cpp, NIM).

* fix: address PR review feedback

- Discard _read_files on no-vision OSError path, include exception detail
- Discard _read_files on oversized image error (not a successful read)
- Validate capabilities type from config.toml (reject non-dict)
- Clarify tool description re: vision behavior and offset/limit scope
- Remove unused os import in tests, fix import sort order
- Handle list content (image tool results) in eval.py tool result loop
2026-03-08 23:43:42 -07:00
Patrick Buckley cc9afe94cd get title in collector for console 2026-03-08 22:32:52 -07:00
Patrick Buckley 136b75fdef Bump version to 0.5.0 2026-03-08 04:47:10 -07:00
Patrick Buckley 4d1107839b refactor: use raw streaming for SSE proxy to preserve event framing (#32)
* refactor: use raw streaming for SSE proxy to preserve event framing

- Replace httpx_sse aconnect_sse with raw httpx.stream for SSE proxy
- Stream bytes verbatim to preserve server-side ping comments and event framing
- Add StreamingResponse with proper headers (Cache-Control, X-Accel-Buffering)
- Update compose.yaml to add 'cluster' profile to the service

* Refactor SSE proxy to raw byte passthrough

- turnstone/console/server.py: Replace aconnect_sse + EventSourceResponse with
  httpx.stream() + StreamingResponse for raw byte passthrough. Server pings,
  events, and comments now flow through verbatim. Added per-request timeout
  override (read=None, pool=None) for long-lived SSE streams.

- tests/test_console.py: Add 3 new tests for SSE proxy:
  - Ping and event preservation
  - Upstream error status handling
  - Client disconnect handling

- docs/console.md: Update SSE Proxy section to reflect raw byte passthrough
  approach.
2026-03-08 04:46:34 -07:00
Patrick Buckley 7d66bc2159 Bump version to 0.4.6 2026-03-08 03:44:22 -07:00
Patrick Buckley 165cbb2d29 Bump version to 0.4.5 2026-03-08 03:29:44 -07:00
Patrick Buckley c79c47b940 Add MCP dynamic tool refresh with push notifications and periodic pol… (#31)
* Add MCP dynamic tool refresh with push notifications and periodic polling

MCP tool lists now stay up-to-date without restart via three mechanisms:
push notifications (ToolListChangedNotification) for servers that support
it, staggered periodic polling for servers that don't, and manual
/mcp refresh [server] command. MCPClientManager tracks tools per-server
with copy-on-write rebuild, notifies ChatSession listeners which rebuild
tool lists and ToolSearchManager (preserving expanded tools).

* Address Copilot review feedback on MCP refresh PR

- Fix /mcp refresh typo matching (startswith → exact token check)
- Validate --mcp-refresh-interval >= 0 at parse time via shared
  nonneg_float in config.py (deduplicated from cli.py + server.py)
- Clamp negative refresh_interval to 0 in MCPClientManager constructor
- Fix periodic refresh first poll timing (was initial_delay + interval,
  now initial_delay then immediate first poll)
- Clarify _on_mcp_tools_changed docstring re: O(n) BM25 build cost
2026-03-08 03:28:38 -07:00
Patrick Buckley 660c273e8e remove old demo.svg 2026-03-08 01:47:34 -08:00
Patrick Buckley c7586abd0a Add dynamic tool search with native defer_loading for Anthropic/OpenAI (#30)
* Add dynamic tool search with native defer_loading for Anthropic/OpenAI

When MCP tools push the total tool count past a configurable threshold
(default 20), tool definitions are deferred to reduce token overhead and
improve tool selection accuracy. Three-tier approach mirrors the existing
web search pattern:

- Anthropic (Claude 4.x): native defer_loading + server-side BM25 search
- OpenAI (GPT-5.4+): native defer_loading + hosted search
- vLLM/llama/NIM: client-side BM25 fallback via synthetic tool_search tool

New module turnstone/core/tool_search.py with BM25Index (pure-Python,
zero deps) and ToolSearchManager (session-scoped visibility, expansion,
server hint generation). Discovered tools persist for the session lifetime
so the model only searches once per capability needed.

Config: [tools] search/search_threshold/search_max_results
CLI: --tool-search {auto,on,off}, --tool-search-threshold, --tool-search-max-results
Agents (plan/task) exempt — their scoped tool sets are always small.

43 new tests (1253 total). All diagrams regenerated with PlantUML 1.2025.2.

* Fix Copilot review feedback on tool search

- Fix _MCP_PREFIX_RE to handle underscores in server names (non-greedy match)
- Use ordered dict for _expanded to preserve tool discovery order
- Avoid constructing ToolSearchManager when below threshold in auto mode
- Return empty string from _mcp_server_summary when no servers (not "none")
- Fix CLI help text to reference threshold generically, not hardcoded "20"
- Fix agent exemption docs to accurately describe scoped tool sets
- Fix README to not hardcode "30+" threshold number
2026-03-08 01:43:38 -08:00
Patrick Buckley 14d57176ce Bump version to 0.4.4 2026-03-07 15:43:56 -08:00
Patrick Buckley 96084ca5f3 Fix PostgreSQL migration race condition with advisory lock
Multiple containers starting simultaneously race on Alembic migrations
against shared PostgreSQL. Use pg_advisory_lock so they wait in line.
Also update SQLite bootstrap to detect post-migration databases.
2026-03-07 15:41:29 -08:00
Patrick Buckley 8b92302247 Bump version to 0.4.3 2026-03-07 13:11:42 -08:00
Patrick Buckley e195ca54a6 new high level arch abstract 2026-03-07 13:01:19 -08:00
Patrick Buckley 50277cd4de Add 10-node cluster profile to Docker Compose 2026-03-07 12:54:41 -08:00
Patrick Buckley fb190f8977 Normalize session_id into ws_id as sole persistent identity (#29)
* Normalize session_id into ws_id as sole persistent identity

Eliminate the separate session_id concept. The workstream ID (ws_id) is
now the single identity used for both real-time routing and conversation
persistence, removing a layer of indirection that was 1:1 in practice
and buggy on resume (stale pointers, orphaned rows).

Schema changes (migration 006):
- Drop sessions table; add alias/title columns to workstreams
- Rename conversations.session_id → ws_id
- Rename session_config table → workstream_config (ws_id column)
- Data migration remaps existing conversations to ws_id

Storage/API renames:
- register_session → register_workstream (already existed, merged)
- save_message/load_messages now keyed by ws_id
- resolve_session → resolve_workstream
- ChatSession.session_id property → ws_id
- ChatSession.resume_session() → resume()
- resume_session field → resume_ws
- SessionResumedEvent → WorkstreamResumedEvent
- /api/sessions → /api/workstreams/saved
- /sessions slash command → /workstreams
- --session-retention-days → --retention-days

Channel eviction recovery simplified: reuses old ws_id directly
instead of get_session_id_by_ws() reverse lookup.

* Fix Copilot review feedback: stale session wording in docs, regenerate OpenAPI spec

- docs/channels.md: "resumes the session" → "resumes the workstream",
  "Session resumed:" → "Resumed:", "old session was pruned" → "old
  workstream was pruned"
- docs/api-reference.md: "Each session object" → "Each saved workstream
  object", field descriptions updated, removed stale node_id field
- sdk/typescript/openapi-server.json: fully regenerated from Python
  models — removes all stale session_id properties from WorkstreamInfo,
  DashboardWorkstream, CreateWorkstreamResponse schemas
2026-03-07 12:49:07 -08:00
Patrick Buckley 25b5e32089 Bump version to 0.4.2 2026-03-05 20:18:46 -08:00
Patrick Buckley 339981a258 Add GPT-5.3, GPT-5.4, and pro model capabilities (#28)
* Add GPT-5.3, GPT-5.4, and pro model capabilities

Add capability entries for gpt-5-pro (272k output, high-only reasoning),
gpt-5.2-pro, gpt-5.3, gpt-5.4 (1.05M context), and gpt-5.4-pro.

* Validate reasoning_effort against model capabilities

_apply_model_params now falls back to caps.default_reasoning_effort when
the requested value is not in caps.reasoning_effort_values. Prevents
sending unsupported effort levels to models like gpt-5-pro (high only).
2026-03-05 20:17:03 -08:00
Patrick Buckley 06de9ff83b Bump version to 0.4.1 2026-03-05 18:13:42 -08:00
Patrick Buckley 924b976f1f Add scheduled task docs and SDK client methods
Add documentation and SDK support for the scheduled task system
(cron/at scheduling via console API). Includes Python SDK methods
(async + sync), TypeScript SDK methods, console.md API reference,
sdk.md table update, and architecture.md module map entry.
2026-03-05 18:11:36 -08:00
Patrick Buckley d5db817391 Fix channel gateway Docker networking and console proxy approval scope
Two runtime bugs:

1. Channel gateway advertised http://127.0.0.1:8091 which is
   unreachable from other Docker containers. Add
   TURNSTONE_CHANNEL_ADVERTISE_URL env var override for Docker/K8s
   environments, set to http://channel:8091 in compose.yaml, and
   pass --http-host=0.0.0.0 so the gateway listens on all interfaces.

2. Console proxy service JWT had only "write" scope but the approval
   endpoint requires "approve". Tool approval buttons in the server
   web UI silently failed when accessed through the console proxy.
   Changed proxy token scopes to read+write+approve.
2026-03-05 18:01:52 -08:00
Patrick Buckley fc8ceb4c72 Update README: 3-node cluster diagram, remove directory tree
Replace single-node Mermaid diagram with a 3-node cluster layout
showing bridge+server pairs per node, shared Redis MQ, console, and
channel gateway. Remove the verbose directory tree listing.
2026-03-05 17:44:33 -08:00
Patrick Buckley 07234dec4d Replace ASCII architecture diagram with Mermaid in README
GitHub renders Mermaid natively as an interactive SVG. The new diagram
shows all client entry points (CLI, browser, SDK, Discord), the full
cluster topology including the channel gateway and notify path, and
the LLM provider layer.
2026-03-05 17:34:42 -08:00
Patrick Buckley dd4cc0b30d Add PROGRESS.md and .coverage to .gitignore 2026-03-05 17:31:55 -08:00
Patrick Buckley e7fe8fca9d Add channel notification tool with security hardening (#27)
* Add channel notification tool with security hardening

Implements the `notify` tool allowing the LLM to send notifications to
Discord channels/users via the channel gateway. Includes fixes for 11
review findings: JWT auth on the gateway endpoint, first-healthy gateway
delivery with retry+backoff, rate limiting only on success, SSRF URL
scheme validation, Discord mention sanitization, SQLite ON CONFLICT
upsert preserving created timestamps, advertise URL resolution for
0.0.0.0 bind, randomized service IDs, generic error messages to prevent
internal state leakage, and partial direct-target validation.

Service registry with heartbeat-based health filtering (migration 005).
Channel gateway registers on startup, heartbeats every 30s, deregisters
on shutdown. 70 new tests covering tool prepare/execute, HTTP endpoint
auth (static + JWT), storage CRUD, and retry behavior.

* Add notify documentation, diagrams, and review fixes

Documentation:
- New sequence diagram 17-notify-flow.puml showing end-to-end delivery
- Updated 16-channel-architecture.puml with services table, notify HTTP
  path, and Notification Flow note
- channels.md: Notifications section (targeting, delivery flow, service
  registry, security) and new config table entries
- tools.md: notify tool reference, updated counts/tables (14→15 tools)
- security.md: channel gateway row in service-to-service auth table
- architecture.md: notification subsystem paragraph

Review fixes (copilot):
- _http.py: fail closed when auth unconfigured (401 instead of pass-
  through), strip whitespace on message/title, generic error messages
  for user-not-found vs no-linked-channels
- session.py: parse gateway response JSON and require at least one
  result with status=="sent" before counting as success
- _postgresql.py: use index_elements instead of constraint for upsert
2026-03-05 17:24:00 -08:00
Patrick Buckley 42b9f89988 Add scheduled task system with cron/at scheduling (#26)
* Add scheduled task system with cron/at scheduling, admin API, and console UI

Console-integrated background scheduler dispatches workstreams on recurring
cron expressions or one-shot ISO8601 timestamps. Four target modes: auto
(best node by headroom), pool (shared queue), all (fan-out), or specific
node. Redis distributed lock with unique owner + Lua conditional release
prevents duplicate dispatch in multi-console deployments.

Storage: scheduled_tasks + scheduled_task_runs tables (migration 004),
9 protocol methods on both SQLite and PostgreSQL backends, field allowlist
on updates, run history auto-pruned at 90 days.

API: 6 CRUD endpoints under /v1/api/admin/schedules with croniter
validation, ISO8601 future-time checks, field length bounds, schedule
count cap (200), and OpenAPI spec entries with Pydantic models.

UI: Schedules tab in admin panel with create/edit/delete modals, run
history modal, cron/at type toggle, target mode select, status dots for
accessibility, responsive grid, keyboard navigation, and focus management.

Security: fan-out capped at 20 nodes/task/tick, auto-approve dispatches
logged at WARNING with created_by attribution, user_id propagated in
CreateWorkstreamMessage for audit trail.

46 tests across storage, scheduler engine, and API endpoints.

* Add croniter to test extras for CI compatibility

CI installs [test] extras but not [console], so croniter was missing
when schedule API tests import console/server.py validation functions.

* Address Copilot review: timezone validation, focus trap, enabled flag

- Reject naive at_time timestamps — require timezone offset (e.g. +00:00 or Z)
- UI appends +00:00 to datetime-local values for explicit UTC
- Fix datetime-local normalization: check length before appending seconds
- Add textarea to modal focus trap selector (prevents focus escape)
- Fix _normalize_task_dict not called in update response
- Persist enabled=false on create (storage defaults to enabled=1)
- Validate at_time is still in future when re-enabling a one-shot task
- broker._redis coupling acknowledged as tracked tech debt
2026-03-05 16:05:00 -08:00
Patrick Buckley 77c0a7736b Bump version to 0.4.0 and update security docs
- Version bump in __init__.py, pyproject.toml, api-reference.md
- security.md: document JWT aud/iss claims, login rate limiting,
  secure cookie defaults (24h, Secure flag), CORS restriction,
  service JWT auto-rotation, secret strength validation, and
  proxy auth forwarding via service tokens (not user JWT forwarding)
2026-03-04 20:45:00 -08:00
Patrick Buckley 872e1770e6 Feature/code dedup (#25)
* Add JWT auth security hardening (6 fixes)

- Secure cookie flag: make_set_cookie defaults Secure=True, max_age=24h
- Login brute-force protection: LoginRateLimiter (5 attempts/5min per key)
- JWT aud/iss claims: create_jwt/validate_jwt support audience validation
- Service JWT auto-rotation: ServiceTokenManager with 1h expiry, 80% refresh
- CORS restriction: configurable via TURNSTONE_CORS_ORIGINS env var
- JWT secret strength: warning on secrets shorter than 32 chars
- Hard fail for bridge/console when TURNSTONE_JWT_SECRET is missing

* Refactor duplicated code into shared utilities and fix 3 UI bugs

Code deduplication (~235 net lines removed):
- Extract AuthMiddleware + 4 auth endpoint handlers to core/auth.py
- Create core/web_helpers.py (require_storage_or_503, read_json_or_400,
  parse_cors_origins, cors_middleware)
- Extract add_redis_args/broker_from_args to mq/broker.py
- Extract add_log_args/configure_logging_from_args to core/log.py
- Remove dead _CSS/_JS loads, duplicate states dict, _read_json helper,
  unused required_role(), duplicate detect_model() wrapper

Bug fixes:
- Fix console proxy forwarding user's JWT_AUD_CONSOLE token to server
  nodes (use ServiceTokenManager with JWT_AUD_SERVER instead)
- Fix login form autofill: wrap inputs in <form>, add name attributes,
  set type=submit on button
- Fix SSE reconnecting flash: add onopen handler to clear status
  immediately on connection (not waiting for first message)
- Fix chat scroll: add min-height:0 to flex containers, overflow:hidden
  on body to constrain viewport height

* Address CI typecheck failure and Copilot review feedback

- Fix mypy arg-type: use Any for jwt.decode options (PyJWT stubs vary)
- Bridge SSE loops: use event_hooks for auth header refresh on reconnect
  instead of static headers that go stale after token rotation
- Login form: remove javascript:void(0) action (CSP anti-pattern)
- Use JWT_AUD_SERVER/JWT_AUD_CONSOLE constants instead of string literals
  in middleware builder calls to prevent drift
2026-03-04 20:35:21 -08:00
Patrick Buckley a6e929b0a0 Add channel integrations with Discord adapter and atomic session resu… (#24)
* Add channel integrations with Discord adapter and atomic session resume (#24)

Bidirectional channel adapter framework connecting external messaging
platforms to turnstone workstreams via Redis MQ. Discord ships as the
first adapter; the protocol supports future Slack/Teams integrations.

Channel framework:
- ChannelAdapter protocol and ChannelRouter for channel↔workstream mapping
- AsyncRedisBroker with single dispatch loop and per-channel ordered workers
- channel_routes table (migration 003) for persistent route storage
- 9 new StorageBackend methods (4 channel_user + 5 channel_route CRUD)
- Unified turnstone-channel gateway entry point, loads adapters by config
- Message chunking, approval formatting, plan review formatting

Discord adapter:
- discord.py v2.4+ bot with thread-per-@mention model
- Slash commands: /link (modal), /unlink, /ask, /status, /close
- Persistent button views for tool approval and plan review
- Streaming responses via edit-in-place (1.5s interval)
- Stale route detection and atomic session resume via resume_session field
- SessionResumedEvent confirmation back to channel
- Auto-approve support (blanket + per-tool list)

Atomic session resume:
- resume_session field on CreateWorkstreamMessage for single-request resume
- Server resumes session during POST /v1/api/workstreams/new atomically
- Bridge emits SessionResumedEvent to per-workstream channel
- WorkstreamCreatedEvent extended with resumed/session_id/message_count
- Server UI dashboardResumeSession simplified to single request
- Pruned sessions fall back gracefully to fresh start

Service auth:
- Bridge and console auto-mint service JWTs from TURNSTONE_JWT_SECRET
- Bridge: approve scope (1 week). Console collector: read. Proxy: write.

Console admin:
- Channels tab with per-user view, force-link modal, unlink
- 3 admin API endpoints for channel user management
- Styled confirm modals replacing browser confirm() dialogs

Bug fixes:
- AsyncRedisBroker: replaced per-channel listener tasks with single
  dispatch loop + per-channel queue workers (fixes message stealing race)
- Bridge: approval/plan review dedup guard prevents SSE reconnect duplicates
- Bridge: _active_sends tracked for initial messages (fixes missing
  TurnCompleteEvent and unfinalized streaming messages)
- Bridge: HTTP calls moved outside lock scope in approval handlers
- Bridge: _handle_send cleans up _active_sends on HTTP/server errors
- Formatter: reads server SSE format (func_name/preview) with fallback

Docs, SDK, tests:
- docs/channels.md setup guide, architecture diagram 16
- Updated api-reference.md, architecture.md, console.md, docker.md
- Python SDK: resume_session param on create_workstream (async + sync)
- TypeScript SDK: updated CreateWorkstreamRequest/Response interfaces
- OpenAPI schema: resume_session request, resumed/message_count response
- 91 new tests (19 storage, 15 broker, 22 protocol, 6 routing,
  18 discord, 12 resume flow) — 1120 total passing

* Fix CI lint/typecheck failures and address Copilot review feedback (#24)

Lint: fix import ordering, remove unused imports, use contextlib.suppress.
Mypy: explicit postgresql dialect import, add discord module overrides for
optional-dependency CI environments.
Copilot: fix double-escaping in admin confirm modals, return resolved
session_id from server resume response, fix channel_routes diagram schema,
use atomic setdefault for routing locks, add post-insert race guard in
admin channel create, support SSE format in auto-approve check, update
identity linking note in architecture diagram.

* Fix remaining mypy call-arg errors for discord.py optional dependency

Add type: ignore[call-arg] on Modal(title=) and Cog(name=) class
definitions that fail when discord.py is not installed in CI.
2026-03-04 13:02:58 -08:00
Patrick Buckley 047680d669 Add user identity, JWT auth, and admin console UI (#23)
* Add user identity, JWT auth, and admin console UI (#23)

JWT-based authentication with three token types: config-file (hmac,
backward-compat), API tokens (ts_ prefix, SHA-256 hashed), and JWTs
(HS256, 24h expiry). Username:password login via bcrypt. Hierarchical
scopes: read < write < approve.

New tables: users (username, password_hash), api_tokens (token_hash,
scopes, expires), channel_users (future channel integrations). user_id
column added to sessions and workstreams for attribution.

Console owns admin CRUD (6 endpoints under /api/admin/). Server
validates JWTs locally with shared signing secret. Public /api/auth/setup
endpoint for first-time admin creation (atomic, only works with zero
users). turnstone-admin CLI for user/token management.

Admin console UI: Users and Tokens tabs with full CRUD modals, scope
badges, token show-once with clipboard copy, keyboard accessibility
(focus traps, Escape, arrow key tabs, ARIA roles).

Login UI redesigned: username:password primary, token toggle for legacy,
setup wizard auto-detected via /api/auth/status. Python + TypeScript
SDKs updated with login(username, password), authStatus(), setup().

New docs/security.md + diagram 15-auth-architecture.puml. All existing
docs updated. OpenAPI specs include all new endpoints. 64 new tests
(1023 total). Dependencies: PyJWT, bcrypt.

* Fix auth bugs, XSS vector, and doc inaccuracies from PR #23 review

Address Copilot review feedback: escape double quotes in escapeHtml()
to prevent XSS in HTML attributes, add JWT validation fallback so
config tokens containing dots still work, add user_id to
AuthLoginResponse schema, return created field from admin_create_user,
and correct five documentation files to match actual API behavior.
2026-03-04 09:12:18 -08:00
Patrick Buckley 0fd0ad3b2d Add structured logging with structlog and context propagation
Replace ad-hoc logging.basicConfig() calls across all 6 entry points with
a centralized configure_logging() function backed by structlog. JSON output
when stderr is not a TTY (production/Docker), colored console output otherwise.

- New turnstone/core/log.py: configure_logging(), get_logger(), contextvars
  for node_id/ws_id/user_id/request_id auto-injected into every log event
- All entry points (server, bridge, console, sim, cli, migrate) call
  configure_logging() with --log-level and --log-format CLI flags
- Server operational print() calls replaced with structured log.info()
- LogContextMiddleware sets request_id + ws_id per HTTP request with
  token-based reset to prevent context leaking across requests
- Bridge _run_in_context() helper propagates ctx_node_id to child threads
- Env var overrides: TURNSTONE_LOG_LEVEL, TURNSTONE_LOG_FORMAT
- 18 new tests (959 total passing)
2026-03-04 06:47:30 -08:00
Patrick Buckley f3dba836dd Add Git LFS requirement note to README, Diagram PNGs are stored in LFS; git-lfs must be installed for cloning them. 2026-03-04 06:14:27 -08:00
Patrick Buckley 7adda343fc Update docs and diagrams for cluster-scale schema changes
- StorageBackend protocol: document 5 new workstream methods (26 total)
- Session ID: 12-char hex → 32-char full UUID in API reference
- /health endpoint: add node_id field to response docs
- sessions table: document node_id and ws_id columns
- Bridge node_id: document server-owned identity with /health retrieval
- Regenerate storage architecture PNG from updated PlantUML
2026-03-04 06:12:33 -08:00
Patrick Buckley a20a058c59 Add cluster-scale schema, fix console proxy UX, harden SDK sync runner (#22)
* Add cluster-scale schema, fix console proxy UX, harden SDK sync runner

Schema redesign for multi-node deployments:
- New `workstreams` table with node_id, state, lifecycle tracking
- Add node_id + ws_id columns to sessions table with indexes
- Full UUID (32 hex) for session_id and ws_id (was truncated 12/8)
- Server generates and owns node_id, bridge retrieves via /health
- Bridge retries with exponential backoff, fatal on auth errors
- WorkstreamManager persists workstreams and state changes to storage
- /health endpoint exposes node_id for bridge discovery

Console proxy UX fixes:
- Remove duplicate turnstone branding from proxy banner
- Same-tab navigation for Open Node UI and workstream deep links

SDK _SyncRunner fix:
- Sentinel pattern for StopAsyncIteration across thread boundary

Remove misplaced PNGs from docs/diagrams/ (correct copies in png/ subdir).

* Address PR #22 review feedback

- Fix CLI session_factory signature (ws_id param) — CI typecheck failure
- First-phase eviction in create() now calls _cleanup_ui + record_eviction
- close() persists "closed" state to storage via update_workstream_state
- Fix noqa comment in test to pragma: no cover
2026-03-04 06:04:59 -08:00
263 changed files with 68457 additions and 3265 deletions
+1
View File
@@ -22,6 +22,7 @@ OPENAI_API_KEY=sk-...
# -- Authentication ------------------------------------------------------------
# TURNSTONE_AUTH_ENABLED=true
# TURNSTONE_AUTH_TOKEN=your-secret-token
# TURNSTONE_JWT_SECRET=python -c "import secrets; print(secrets.token_hex(32))"
# -- Ports ---------------------------------------------------------------------
# SERVER_PORT=8080
+8
View File
@@ -5,6 +5,7 @@ on:
tags: ["v*"]
permissions:
contents: write
id-token: write
jobs:
@@ -19,3 +20,10 @@ jobs:
- run: pip install build
- run: python -m build
- uses: pypa/gh-action-pypi-publish@release/v1
- name: Create GitHub Release
uses: softprops/action-gh-release@v2
with:
generate_release_notes: true
draft: false
prerelease: ${{ contains(github.ref, '-') }}
+2
View File
@@ -17,3 +17,5 @@ venv/
.plan.md
.plan-*.md
.hypothesis/
PROGRESS.md
.coverage
+1 -1
View File
@@ -34,7 +34,7 @@ RUN useradd --create-home --shell /bin/bash turnstone
# Install the wheel with all optional extras
COPY --from=builder /build/wheels/*.whl /tmp/wheels/
RUN pip install --no-cache-dir "$(ls /tmp/wheels/*.whl)[mq,console,sim,postgres]" \
RUN pip install --no-cache-dir "$(ls /tmp/wheels/*.whl)[mq,console,sim,postgres,discord]" \
&& rm -rf /tmp/wheels
# Health check script (stdlib only, no pip deps needed)
+92
View File
@@ -0,0 +1,92 @@
# Bootstrap Wizard
Interactive, AI-guided setup for Turnstone deployments. Instead of manually
editing `.env` files and reading deployment docs, the wizard walks you through
every decision conversationally and generates all the config files for you.
## Quick Start
```bash
turnstone-bootstrap
```
That's it — no flags, no arguments. The wizard prompts for everything.
## How It Works
1. **Pick a model** — Choose OpenAI, Anthropic, or a local/vLLM endpoint to
power the wizard. Local endpoints auto-detect available models.
2. **Answer questions** — The AI walks you through deployment mode, LLM
provider, database, authentication, ports, and optional features.
3. **Review generated files** — Each file is previewed before writing. You
confirm or reject every write.
4. **Start the stack** — The wizard prints the exact `docker compose` command
and a `setup.sh` script to create your first admin user, roles, and policies.
## What Gets Generated
| File | Purpose |
|------|---------|
| `.env` | All environment variables for `compose.yaml` |
| `setup.sh` | Post-start script: creates admin user, roles, tool policies, prompt templates via the API |
| `docker-compose.override.yaml` | Only if customizations beyond env vars are needed |
## Requirements
- **Python 3.11+** with turnstone installed (`pip install turnstone`)
- **An LLM API key** — for the wizard itself (OpenAI, Anthropic, or a local
model). This can differ from the LLM your deployment will use.
- **Docker & Docker Compose** — needed to run the stack. The wizard detects
whether Docker is installed and gives platform-specific install instructions
if it's missing. You can still generate config files without Docker.
## Deployment Modes
The wizard supports two deployment modes:
- **Single-node production** (`docker compose --profile production up`) —
1 server + bridge + console + PostgreSQL + Redis. Good for most use cases.
- **Multi-node cluster** (`docker compose --profile cluster up`) —
10-node server/bridge fleet + PostgreSQL + Redis. For high-throughput or
HA deployments.
## Example Session
```
$ turnstone-bootstrap
Turnstone Bootstrap Wizard v0.5.4
────────────────────────────────────────────────
Which provider for this wizard?
[1] OpenAI
[2] Anthropic
[3] OpenAI-compatible (local/vLLM)
> 3
Base URL [http://localhost:8000/v1]:
API key (press Enter for 'none'):
Querying http://localhost:8000/v1 for available models...
Found model: Qwen/Qwen3-32B
Connected to Qwen/Qwen3-32B. Handing off to AI assistant...
> (AI walks you through the rest interactively)
```
## Tips
- **Re-run safely** — running the wizard again detects your existing `.env`
and offers to update it rather than overwriting.
- **Duplicate writes are skipped** — if the LLM tries to write the same file
twice with identical content, it's silently ignored.
- **Type `quit` to exit** at any time during the conversation.
- **Ctrl+C** is handled gracefully — press once to interrupt, twice to exit.
## See Also
- [Docker Deployment](docker.md) — manual compose setup and profiles
- [Security](security.md) — auth architecture and token types
- [Governance](governance.md) — roles, policies, and templates
+74 -80
View File
@@ -16,16 +16,16 @@ Turnstone gives LLMs tools — shell, files, search, web, planning — and orche
- **Interactive sessions** — terminal CLI or browser UI with parallel workstreams
- **Queue-driven agents** — trigger workstreams via message queue, stream progress, approve or auto-approve tool use
- **Multi-node clusters** — generic work load-balances across nodes, directed work routes to a specific server
- **Cluster dashboard** — real-time view of all nodes and workstreams, workstream creation with node targeting, reverse proxy for server UIs (only the console port needs network access)
- **Cluster dashboard** — real-time view of all nodes and workstreams, reverse proxy for server UIs
- **Intent validation** — an LLM judge evaluates every tool call before approval, presenting risk assessments and evidence-based recommendations so users can make informed decisions instead of blindly approving raw tool calls
- **Governance & compliance** — RBAC, tool policies, prompt templates, workstream templates, usage tracking, and append-only audit logs
- **Cluster simulator** — test the stack at scale (up to 1000 nodes) without an LLM backend
```
External System → Message Queue → Bridge (per node) → Turnstone Server → LLM + Tools
Pub/Sub → Progress Events → External System
turnstone-console → Cluster Dashboard (browser)
```
Works with any OpenAI-compatible API (vLLM, llama.cpp, NVIDIA NIM) or Anthropic's native Messages API. Supports [MCP](https://modelcontextprotocol.io/) for external tool servers with native deferred tool loading on Anthropic and OpenAI APIs (BM25 fallback for local models).
<p align="center">
<img src="docs/diagrams/architecture-overview.svg" alt="Turnstone system architecture — data flow from clients through gateways, Redis MQ, cluster nodes, to LLM providers" width="960"/>
</p>
## Quickstart
@@ -107,73 +107,9 @@ turnstone-sim --nodes 100 --scenario steady --duration 60 --mps 10
See [docs/simulator.md](docs/simulator.md) for scenarios, CLI reference, and metrics.
All frontends connect to any OpenAI-compatible API (vLLM, NVIDIA NIM/NGC, llama.cpp, OpenAI, etc.) or Anthropic's native Messages API, and auto-detect the model.
## Architecture
```
turnstone/
├── core/ # UI-agnostic engine
│ ├── session.py # ChatSession — multi-turn loop, tool dispatch, agents
│ ├── providers/ # LLM provider adapters (OpenAI, Anthropic)
│ │ ├── _protocol.py # LLMProvider protocol, ModelCapabilities, StreamChunk
│ │ ├── _openai.py # OpenAI-compatible (OpenAI, vLLM, llama.cpp)
│ │ └── _anthropic.py # Anthropic Messages API (native streaming, thinking)
│ ├── tools.py # Tool definitions (auto-loaded from JSON)
│ ├── workstream.py # WorkstreamManager — parallel independent sessions
│ ├── mcp_client.py # MCP client manager (external tool servers)
│ ├── model_registry.py # ModelRegistry — named models, fallback routing, per-workstream selection
│ ├── config.py # Unified TOML config (~/.config/turnstone/config.toml)
│ ├── memory.py # Persistence facade (delegates to storage/)
│ ├── storage/ # Pluggable storage backend (SQLite + PostgreSQL)
│ ├── metrics.py # Prometheus-compatible metrics collector
│ ├── healthcheck.py # Backend health monitor + circuit breaker
│ ├── ratelimit.py # Per-IP token-bucket rate limiter
│ ├── edit.py # File editing (fuzzy match, indentation)
│ ├── safety.py # Path validation, sandbox checks
│ ├── sandbox.py # Command sandboxing
│ └── web.py # Web fetch/search helpers
├── mq/ # Message queue integration
│ ├── protocol.py # Typed message dataclasses (JSON serialization)
│ ├── broker.py # Abstract MessageBroker + RedisBroker
│ ├── bridge.py # Bridge service (queue ↔ HTTP API, multi-node routing)
│ └── client.py # TurnstoneClient — Python API for external systems
├── console/ # Cluster dashboard
│ ├── collector.py # ClusterCollector — aggregates all nodes via Redis + HTTP
│ ├── server.py # Dashboard Starlette/ASGI server + SSE
│ └── static/ # Cluster dashboard web UI
├── tools/ # Tool schemas (one JSON file per tool)
├── ui/ # Frontend assets and terminal rendering
│ └── static/ # Web UI (HTML, CSS, JS)
├── sim/ # Cluster simulator
│ ├── cluster.py # SimCluster — orchestrates N nodes + dispatchers
│ ├── node.py # SimNode + SimWorkstream — protocol-compatible node
│ ├── engine.py # LLM + tool execution simulation
│ ├── scenario.py # 5 workload scenarios (steady, burst, node_failure, …)
│ ├── metrics.py # Latency, throughput, utilization collection
│ └── cli.py # CLI entry point (turnstone-sim)
├── cli.py # Terminal frontend (+ /cluster commands for console)
├── server.py # Web frontend (Starlette/ASGI + SSE)
└── eval.py # Evaluation and prompt optimization harness
├── api/ # OpenAPI spec generation (Pydantic v2 models)
├── sdk/ # Client SDKs (sync + async, Python)
docs/
├── architecture.md # System architecture and threading model
├── api-reference.md # Web server API and SSE event reference
├── sdk.md # Client SDK reference (Python + TypeScript)
├── console.md # Cluster dashboard service (turnstone-console)
├── docker.md # Docker Compose deployment and configuration
├── simulator.md # Cluster simulator usage and scenarios
├── tools.md # Tool schemas, execution pipeline, approval flow
├── eval.md # Evaluation harness internals
└── diagrams/ # UML architecture diagrams (PlantUML sources + PNGs)
└── png/ # Pre-rendered diagram images
deploy/
├── helm/turnstone/ # Helm chart for Kubernetes
└── terraform/ # Terraform modules (AWS ECS/Fargate)
```
### Architecture Diagrams
### Diagrams
Detailed UML diagrams are available in [`docs/diagrams/`](docs/diagrams/):
@@ -193,6 +129,46 @@ Detailed UML diagrams are available in [`docs/diagrams/`](docs/diagrams/):
| [Deployment](docs/diagrams/png/12-deployment.png) | Docker Compose service topology |
| [SDK Architecture](docs/diagrams/png/13-sdk-architecture.png) | Python + TypeScript client libraries |
| [Storage Architecture](docs/diagrams/png/14-storage-architecture.png) | Pluggable database backends (SQLite + PostgreSQL) |
| [Auth Architecture](docs/diagrams/png/15-auth-architecture.png) | JWT, scopes, token types, login flows |
| [Channel Architecture](docs/diagrams/png/16-channel-architecture.png) | Discord/Slack adapter protocol and routing |
| [Notify Flow](docs/diagrams/png/17-notify-flow.png) | Channel notification dispatch |
| [Watch Architecture](docs/diagrams/png/18-watch-architecture.png) | Periodic command polling daemon |
| [Governance Architecture](docs/diagrams/png/19-governance-architecture.png) | RBAC, policies, audit, usage enforcement flow |
| [WS Template Architecture](docs/diagrams/png/21-ws-template-architecture.png) | Workstream template application and lifecycle |
| [Judge Architecture](docs/diagrams/png/22-judge-architecture.png) | Intent validation two-tier evaluation pipeline |
### Governance
Turnstone includes a built-in governance layer for enterprise deployments — manage who can do what, which tools run unattended, and where every token goes.
- **RBAC** — 15 granular permissions, 3 built-in roles (admin / operator / viewer), custom roles, privilege escalation prevention
- **Tool policies** — glob-pattern rules (`allow` / `deny` / `ask`) with priority ordering; automate approvals or lock down dangerous tools
- **Prompt templates** — reusable system messages with `{{variable}}` substitution and categories
- **Usage tracking** — per-request token and tool metrics, aggregation by day / model / user, automatic 90-day pruning
- **Audit logging** — append-only event trail for all admin mutations, IP-aware, 365-day retention
All governance features are managed through the console admin panel (13 tabs) and the full REST API. Runtime settings (model, tools, rate limiting, health, judge, memory) are configurable via the admin Settings tab — no config file edits or restarts needed for most changes. See [docs/governance.md](docs/governance.md) for setup and [docs/settings.md](docs/settings.md) for the settings reference.
### Intent Validation (LLM Judge)
Every tool call that requires human approval is evaluated by an intent validation judge that provides a structured risk assessment alongside the approval prompt — so instead of "approve this bash command?", users see a verdict with risk level, confidence, recommendation, and reasoning.
The system uses a two-tier evaluation pipeline:
1. **Heuristic tier** (instant, free) — 23 pattern-based rules classify tool calls by severity. Catches destructive commands (`rm -rf /`, `DROP TABLE`), privilege escalation (`sudo`), credential access, and more. Results appear immediately.
2. **LLM judge tier** (async) — A full LLM evaluation runs in the background with access to `read_file` and `list_directory` for evidence gathering. The judge can inspect files that a write would overwrite, check directory contents before a delete, and cite specific evidence in its reasoning. Results update the UI progressively when ready.
The judge defaults to the same model as the session (self-consistency) but can be configured to use a separate model — useful when running a small local model for tasks but wanting a commercial model for safety evaluation.
```toml
[judge]
enabled = true # on by default
model = "" # empty = same as session model
provider = "" # empty = same as session provider
timeout = 60.0 # generous for local models
```
Verdicts are persisted for audit and exposed via Prometheus metrics (`turnstone_judge_verdicts_total`, `turnstone_judge_llm_latency_seconds`). See [docs/judge.md](docs/judge.md) for the full guide.
## Multi-node routing
@@ -217,12 +193,12 @@ Bridges BLPOP from their per-node queue (priority) then the shared queue. Direct
## Tools
14 built-in tools, 2 agent tools, plus external tools via MCP:
15 built-in tools, 2 agent tools, plus external tools via MCP:
| Tool | Description | Auto-approved |
|------|-------------|:---:|
| `bash` | Execute shell commands | |
| `read_file` | Read file contents | yes |
| `read_file` | Read file contents (text or images with vision models) | yes |
| `write_file` | Write/create files | |
| `edit_file` | Fuzzy-match file editing | |
| `search` | Search files by name/content | yes |
@@ -230,16 +206,19 @@ Bridges BLPOP from their per-node queue (priority) then the shared queue. Direct
| `man` | Read man pages | yes |
| `web_fetch` | Fetch URL content | |
| `web_search` | Web search (provider-native or Tavily) | |
| `remember` | Save persistent facts | yes |
| `recall` | Search memories and history | yes |
| `forget` | Remove a memory | yes |
| `memory` | Structured persistent memory (save/search/delete/list) | yes |
| `recall` | Search conversation history | yes |
| `notify` | Send notifications to linked channels | yes |
| `watch` | Periodic command polling with conditions | |
| `task` | Spawn autonomous sub-agent | |
| `plan` | Explore codebase, write .plan.md | |
| `mcp__*` | External tools from MCP servers | |
When the total tool count exceeds a configurable threshold (default 20), MCP tools are automatically deferred using native `defer_loading` on Anthropic and OpenAI APIs, or a transparent client-side BM25 search for local models. The LLM discovers deferred tools on demand via a `tool_search` capability — no configuration needed beyond `--tool-search auto` (the default).
### MCP Tool Servers
Turnstone supports the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP) for connecting external tool servers. MCP tools are discovered at startup, converted to OpenAI function-calling format, and merged with built-in tools. Each MCP tool is prefixed with `mcp__{server}__{tool}` to avoid name collisions.
Turnstone supports the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP) for connecting external tool servers. MCP tools are discovered at startup, converted to OpenAI function-calling format, and merged with built-in tools. Each MCP tool is prefixed with `mcp__{server}__{tool}` to avoid name collisions. Tool lists stay fresh via push notifications (`tools.listChanged`), periodic polling for servers without push, and manual `/mcp refresh`.
Configure via `config.toml` or `--mcp-config`:
@@ -259,7 +238,7 @@ turnstone --mcp-config ~/.config/turnstone/mcp.json
turnstone-server --mcp-config ~/.config/turnstone/mcp.json
```
Use `/mcp` in the REPL to list connected tools. MCP tools require user approval by default (overridden by `--skip-permissions` or UI auto-approve).
Use `/mcp` in the REPL to list connected tools, `/mcp refresh` to re-fetch tool lists from servers. MCP tools require user approval by default (overridden by `--skip-permissions` or UI auto-approve).
### Multi-Model and Multi-Provider Support
@@ -314,6 +293,9 @@ agent_model = "" # model alias for plan/task sub-agents
[tools]
timeout = 30
skip_permissions = false
search = "auto" # "auto" (enable when >threshold tools), "on", "off"
search_threshold = 20 # min tools before tool search activates
search_max_results = 5 # max tools returned per search query
[server]
host = "0.0.0.0"
@@ -352,8 +334,16 @@ path = ".turnstone.db" # SQLite file path (relative to working directory)
# url = "postgresql+psycopg://user:pass@host:5432/turnstone" # PostgreSQL
# pool_size = 5 # PostgreSQL connection pool size
[judge]
enabled = true # intent validation for tool approvals (--no-judge to disable)
model = "" # empty = same as session model (self-consistency)
provider = "" # empty = same as session provider
timeout = 60.0 # LLM judge timeout in seconds
confidence_threshold = 0.7
[mcp]
config_path = "" # path to MCP JSON config file (alternative to TOML sections)
refresh_interval = 14400 # periodic refresh for servers without push notifications (seconds, 0 to disable)
[mcp.servers.example] # one section per MCP server
command = "npx"
@@ -392,6 +382,9 @@ Idle workstreams are automatically cleaned up after 2 hours (configurable). In m
- `turnstone_backend_up` — LLM backend reachability (0/1)
- `turnstone_circuit_state` — circuit breaker state (0=closed, 1=open, 2=half_open)
- `turnstone_workstreams_evicted_total` — workstreams auto-evicted at capacity
- `turnstone_judge_verdicts_total{tier,risk_level}` — intent validation verdicts by tier and risk
- `turnstone_judge_llm_latency_seconds` — LLM judge evaluation latency histogram
- `turnstone_judge_enabled` — whether the intent validation judge is active (0/1)
Per-workstream metrics are labeled by `ws_id` (bounded to 10 max workstreams).
@@ -412,6 +405,7 @@ Per-workstream metrics are labeled by `ws_id` (bounded to 10 max workstreams).
- Redis (for message queue bridge — `pip install turnstone[mq]`)
- Anthropic provider (optional — `pip install turnstone[anthropic]`)
- PostgreSQL (optional, for production — `pip install turnstone[postgres]`)
- [Git LFS](https://git-lfs.com/) (for cloning — diagram PNGs are stored in LFS)
## License
+315 -3
View File
@@ -2,11 +2,12 @@
# Turnstone Docker Compose Stack
#
# Usage:
# Default (SQLite): docker compose up
# Infra only: docker compose up
# Single node: docker compose --profile production up
# Production (PG): DB_BACKEND=postgresql docker compose --profile production up
# (or set DB_BACKEND=postgresql in .env)
# 10-node cluster: docker compose --profile cluster up
# Cluster + DDG: docker compose --profile ddgCluster up
# With simulator: docker compose --profile sim up
# Scale bridges: docker compose up --scale bridge=3
# =============================================================================
name: turnstone
@@ -28,6 +29,8 @@ services:
image: postgres:17-alpine
profiles:
- production
- cluster
- ddgCluster
environment:
POSTGRES_DB: turnstone
POSTGRES_USER: ${POSTGRES_USER:-turnstone}
@@ -87,6 +90,8 @@ services:
build:
context: .
dockerfile: Dockerfile
profiles:
- production
command:
- sh
- -c
@@ -98,10 +103,12 @@ services:
--api-key "$${OPENAI_API_KEY}"
$${MODEL:+--model $$MODEL}
$${SKIP_PERMISSIONS:+--skip-permissions}
$${MCP_CONFIG:+--mcp-config $$MCP_CONFIG}
ports:
- "${SERVER_PORT:-8080}:8080"
volumes:
- turnstone-data:/data
- ./docker/mcp-ddg.json:/etc/turnstone/mcp-ddg.json:ro
environment:
- LLM_BASE_URL=${LLM_BASE_URL:-http://host.docker.internal:8000/v1}
- OPENAI_API_KEY=${OPENAI_API_KEY:-dummy}
@@ -109,9 +116,12 @@ services:
- SKIP_PERMISSIONS=${SKIP_PERMISSIONS:-}
- TURNSTONE_AUTH_ENABLED=${TURNSTONE_AUTH_ENABLED:-}
- TURNSTONE_AUTH_TOKEN=${TURNSTONE_AUTH_TOKEN:-}
- TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:-}
- MODEL=${MODEL:-}
- MCP_CONFIG=${MCP_CONFIG:-}
- TURNSTONE_DB_BACKEND=${DB_BACKEND:-sqlite}
- TURNSTONE_DB_URL=${DATABASE_URL:-}
- TURNSTONE_NODE_ID=${TURNSTONE_NODE_ID:-}
extra_hosts:
- "host.docker.internal:host-gateway"
networks:
@@ -122,6 +132,9 @@ services:
postgres:
condition: service_healthy
required: false
ddg-search:
condition: service_healthy
required: false
healthcheck:
test: ["CMD", "python", "/usr/local/bin/healthcheck.py", "http://127.0.0.1:8080/health"]
interval: 10s
@@ -138,6 +151,8 @@ services:
build:
context: .
dockerfile: Dockerfile
profiles:
- production
command:
- turnstone-bridge
- --server-url=http://server:8080
@@ -148,6 +163,7 @@ services:
environment:
- REDIS_PASSWORD=${REDIS_PASSWORD:-}
- TURNSTONE_AUTH_TOKEN=${TURNSTONE_AUTH_TOKEN:-}
- TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:-}
networks:
- turnstone-net
depends_on:
@@ -177,6 +193,9 @@ services:
- REDIS_PASSWORD=${REDIS_PASSWORD:-}
- TURNSTONE_AUTH_ENABLED=${TURNSTONE_AUTH_ENABLED:-}
- TURNSTONE_AUTH_TOKEN=${TURNSTONE_AUTH_TOKEN:-}
- TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:-}
- TURNSTONE_DB_BACKEND=${DB_BACKEND:-sqlite}
- TURNSTONE_DB_URL=${DATABASE_URL:-}
networks:
- turnstone-net
depends_on:
@@ -190,6 +209,78 @@ services:
start_period: 10s
restart: unless-stopped
# -------------------------------------------------------------------
# turnstone-channel — Channel gateway (Discord, Slack, etc.)
# Requires TURNSTONE_DISCORD_TOKEN to enable Discord adapter
# -------------------------------------------------------------------
channel:
build:
context: .
dockerfile: Dockerfile
profiles:
- production
- cluster
- ddgCluster
command:
- sh
- -c
- >-
turnstone-channel
--redis-host=redis
--redis-port=6379
--http-host=0.0.0.0
$${TURNSTONE_DISCORD_GUILD:+--discord-guild $$TURNSTONE_DISCORD_GUILD}
environment:
- TURNSTONE_DISCORD_TOKEN=${TURNSTONE_DISCORD_TOKEN:-}
- TURNSTONE_DISCORD_GUILD=${TURNSTONE_DISCORD_GUILD:-0}
- REDIS_PASSWORD=${REDIS_PASSWORD:-}
- TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:-}
- TURNSTONE_DB_BACKEND=${DB_BACKEND:-sqlite}
- TURNSTONE_DB_URL=${DATABASE_URL:-}
- TURNSTONE_CHANNEL_ADVERTISE_URL=http://channel:8091
networks:
- turnstone-net
depends_on:
redis:
condition: service_healthy
postgres:
condition: service_healthy
required: false
restart: unless-stopped
# -------------------------------------------------------------------
# ddg-search — DuckDuckGo Search MCP server (HTTP transport)
# Provides web search + content fetch tools to turnstone via MCP.
# No API key required.
#
# Start with: MCP_CONFIG=/etc/turnstone/mcp-ddg.json \
# docker compose --profile ddgCluster up
# -------------------------------------------------------------------
ddg-search:
image: python:3.13-slim
profiles:
- ddgCluster
command:
- sh
- -c
- >-
pip install --no-cache-dir duckduckgo-mcp-server &&
python -c "from mcp.server.transport_security import TransportSecuritySettings; import duckduckgo_mcp_server.server as s; s.safe_search=s.SafeSearchMode.OFF; s.mcp.settings.host='0.0.0.0'; s.mcp.settings.port=3000; s.mcp.settings.transport_security=TransportSecuritySettings(enable_dns_rebinding_protection=False); s.mcp.run(transport='streamable-http')"
networks:
- turnstone-net
healthcheck:
test: ["CMD-SHELL", "python -c \"import socket; s=socket.create_connection(('0.0.0.0',3000),2); s.close()\""]
interval: 10s
timeout: 5s
retries: 3
start_period: 30s
deploy:
resources:
limits:
memory: 256M
cpus: '0.25'
restart: unless-stopped
# -------------------------------------------------------------------
# turnstone-sim — Multi-node cluster simulator (no LLM needed)
# Start with: docker compose --profile sim up
@@ -229,3 +320,224 @@ services:
redis:
condition: service_healthy
restart: "no"
# ===================================================================
# 10-node cluster (profile: cluster)
#
# Each node is a server + bridge pair. All share the same PostgreSQL
# and Redis instances. Access via console at :8090.
#
# Start: docker compose --profile cluster up
# ===================================================================
# -- cluster servers ------------------------------------------------
server-1: &cluster-server
build: { context: ., dockerfile: Dockerfile }
profiles: [cluster, ddgCluster]
command: &cluster-server-cmd
- sh
- -c
- >-
turnstone-server
--host 0.0.0.0
--port 8080
--base-url "$${LLM_BASE_URL}"
--api-key "$${OPENAI_API_KEY}"
$${MODEL:+--model $$MODEL}
$${SKIP_PERMISSIONS:+--skip-permissions}
$${MCP_CONFIG:+--mcp-config $$MCP_CONFIG}
volumes:
- turnstone-data:/data
- ./docker/mcp-ddg.json:/etc/turnstone/mcp-ddg.json:ro
environment: &cluster-server-env
LLM_BASE_URL: ${LLM_BASE_URL:-http://host.docker.internal:8000/v1}
OPENAI_API_KEY: ${OPENAI_API_KEY:-dummy}
TAVILY_API_KEY: ${TAVILY_API_KEY:-}
SKIP_PERMISSIONS: ${SKIP_PERMISSIONS:-}
TURNSTONE_AUTH_ENABLED: ${TURNSTONE_AUTH_ENABLED:-}
TURNSTONE_AUTH_TOKEN: ${TURNSTONE_AUTH_TOKEN:-}
TURNSTONE_JWT_SECRET: ${TURNSTONE_JWT_SECRET:-}
MODEL: ${MODEL:-}
MCP_CONFIG: ${MCP_CONFIG:-}
TURNSTONE_DB_BACKEND: ${DB_BACKEND:-postgresql}
TURNSTONE_DB_URL: ${DATABASE_URL:-postgresql://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:?}@postgres:5432/turnstone}
TURNSTONE_NODE_ID: node-1
extra_hosts: ["host.docker.internal:host-gateway"]
networks: [turnstone-net]
depends_on:
redis: { condition: service_healthy }
postgres: { condition: service_healthy }
ddg-search: { condition: service_healthy, required: false }
healthcheck:
test: ["CMD", "python", "/usr/local/bin/healthcheck.py", "http://127.0.0.1:8080/health"]
interval: 10s
timeout: 5s
retries: 3
start_period: 15s
deploy:
resources:
limits: { memory: 384M, cpus: '0.5' }
restart: unless-stopped
server-2:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-2 }
server-3:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-3 }
server-4:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-4 }
server-5:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-5 }
server-6:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-6 }
server-7:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-7 }
server-8:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-8 }
server-9:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-9 }
server-10:
<<: *cluster-server
environment: { <<: *cluster-server-env, TURNSTONE_NODE_ID: node-10 }
# -- cluster bridges ------------------------------------------------
bridge-1: &cluster-bridge
build: { context: ., dockerfile: Dockerfile }
profiles: [cluster, ddgCluster]
command:
- turnstone-bridge
- --server-url=http://server-1:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
environment: &cluster-bridge-env
REDIS_PASSWORD: ${REDIS_PASSWORD:-}
TURNSTONE_AUTH_TOKEN: ${TURNSTONE_AUTH_TOKEN:-}
TURNSTONE_JWT_SECRET: ${TURNSTONE_JWT_SECRET:-}
networks: [turnstone-net]
depends_on:
server-1: { condition: service_healthy }
redis: { condition: service_healthy }
deploy:
resources:
limits: { memory: 256M, cpus: '0.25' }
restart: unless-stopped
bridge-2:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-2:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-2: { condition: service_healthy }
redis: { condition: service_healthy }
bridge-3:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-3:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-3: { condition: service_healthy }
redis: { condition: service_healthy }
bridge-4:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-4:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-4: { condition: service_healthy }
redis: { condition: service_healthy }
bridge-5:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-5:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-5: { condition: service_healthy }
redis: { condition: service_healthy }
bridge-6:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-6:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-6: { condition: service_healthy }
redis: { condition: service_healthy }
bridge-7:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-7:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-7: { condition: service_healthy }
redis: { condition: service_healthy }
bridge-8:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-8:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-8: { condition: service_healthy }
redis: { condition: service_healthy }
bridge-9:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-9:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-9: { condition: service_healthy }
redis: { condition: service_healthy }
bridge-10:
<<: *cluster-bridge
command:
- turnstone-bridge
- --server-url=http://server-10:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
depends_on:
server-10: { condition: service_healthy }
redis: { condition: service_healthy }
-221
View File
@@ -1,221 +0,0 @@
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.pg { animation: pulse-green 2s infinite }
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<tspan x="560">WS</tspan>
<tspan x="610">RUN</tspan>
<tspan x="660">ATTN</tspan>
<tspan x="710">TOKENS</tspan>
<tspan x="790">LOAD</tspan>
</text>
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Before

Width:  |  Height:  |  Size: 11 KiB

+7
View File
@@ -0,0 +1,7 @@
{
"mcpServers": {
"ddg": {
"url": "http://ddg-search:3000/mcp"
}
}
}
+831 -28
View File
@@ -56,6 +56,170 @@ console.log(result.content);
---
## Authentication
When auth is enabled (`[auth].enabled = true` or `TURNSTONE_AUTH_ENABLED=1`), all API endpoints except public paths require a valid token.
### Sending Credentials
Include a token in one of two ways:
- **Bearer header**: `Authorization: Bearer <token>`
- **Cookie**: `turnstone_auth=<token>` (set automatically by the login endpoint)
The server accepts three token types:
| Type | Format | Example |
|------|--------|---------|
| JWT | Base64 segments separated by dots | `eyJhbG...` |
| API token | `ts_` prefix + 64 hex chars | `ts_a1b2c3d4...` |
| Config token | Arbitrary string from `config.toml` | `my-secret-token` |
JWTs are the recommended credential for browser sessions. API tokens are suitable for programmatic access and CI/CD. Config tokens are a simple option for single-node deployments.
### `POST /v1/api/auth/login`
Authenticate with credentials and receive a JWT. Accepts two credential formats:
**Username + password:**
```json
{"username": "alice", "password": "hunter2"}
```
**API token:**
```json
{"token": "ts_a1b2c3d4e5f6..."}
```
**Response (success):** `200`
```json
{
"status": "ok",
"role": "full",
"scopes": "approve,read,write",
"jwt": "eyJhbGciOiJIUzI1NiIs...",
"user_id": "u_abc123"
}
```
The response also sets a `turnstone_auth` HttpOnly cookie containing the JWT.
**Response (failure):** `401`
```json
{"error": "Invalid credentials"}
```
---
### `POST /v1/api/auth/logout`
Clears the `turnstone_auth` cookie. No request body required.
**Response:** `200`
```json
{"status": "ok"}
```
The response includes a `Set-Cookie` header that expires the auth cookie.
---
### `GET /v1/api/auth/status`
Returns the current authentication state. Works with or without a valid token.
**Response (authenticated):** `200`
```json
{
"authenticated": true,
"user_id": "u_abc123",
"scopes": ["approve", "read", "write"],
"source": "jwt"
}
```
**Response (not authenticated):** `200`
```json
{
"authenticated": false,
"user_id": null,
"scopes": [],
"source": null
}
```
**Response (auth disabled):** `200`
```json
{
"authenticated": false,
"auth_enabled": false
}
```
---
### `POST /v1/api/auth/setup`
Creates the first admin user when no users exist in the database. This is a
public endpoint (no authentication required) that only succeeds when auth is
enabled and the user database is empty. Both the server and console expose
this endpoint.
**Request body:**
```json
{
"username": "admin",
"display_name": "Admin",
"password": "strongpass"
}
```
| Field | Type | Required | Validation |
|----------------|--------|----------|-----------------------------|
| `username` | string | yes | 1-64 ASCII characters |
| `display_name` | string | yes | Non-empty |
| `password` | string | yes | Minimum 8 characters |
**Response (success):** `200`
```json
{
"status": "ok",
"user_id": "u_abc123",
"username": "admin",
"role": "full",
"scopes": "approve,read,write",
"jwt": "eyJhbGciOiJIUzI1NiIs..."
}
```
The response also sets a `turnstone_auth` HttpOnly cookie containing the JWT.
**Response (already set up):** `409`
```json
{"error": "Setup already completed"}
```
Returned when one or more users already exist in the database.
**Response (auth disabled):** `400`
```json
{"error": "Auth is not enabled"}
```
---
## Endpoints
### `GET /`
@@ -284,6 +448,58 @@ after `/clear` or `/new` commands).
{"type": "clear_ui"}
```
**`cancelled`** -- the generation was cancelled by the user (via the Stop
button or `POST /v1/api/cancel`). The client should finalize any in-progress
assistant message with whatever partial content was streamed.
```json
{"type": "cancelled"}
```
**`intent_verdict`** -- delivered asynchronously when the LLM judge completes
its evaluation of a pending tool call. Only sent when intent validation is
enabled (`--judge` or `[judge] enabled = true`). The `call_id` correlates with
the item in the preceding `approve_request` event.
```json
{
"type": "intent_verdict",
"verdict_id": "f7e8d9c0b1a2",
"call_id": "call_abc123",
"func_name": "bash",
"intent_summary": "Install Express.js web framework via npm",
"risk_level": "medium",
"confidence": 0.85,
"recommendation": "review",
"reasoning": "The command installs express from npm. This is a well-known package but will modify node_modules and package.json.",
"evidence": ["Checked package.json -- express is not currently a dependency"],
"tier": "llm",
"judge_model": "gpt-5",
"latency_ms": 2340
}
```
| Field | Type | Description |
|------------------|------------|--------------------------------------------------------|
| `verdict_id` | string | Unique verdict identifier |
| `call_id` | string | Tool call ID (matches `approve_request` item) |
| `func_name` | string | Tool function name |
| `intent_summary` | string | One-sentence description of the tool call's intent |
| `risk_level` | string | `"low"`, `"medium"`, `"high"`, or `"critical"` |
| `confidence` | float | 0.0--1.0 confidence in the assessment |
| `recommendation` | string | `"approve"`, `"review"`, or `"deny"` |
| `reasoning` | string | Evidence-based explanation |
| `evidence` | list | Supporting evidence (file excerpts, rule names) |
| `tier` | string | Always `"llm"` for this event |
| `judge_model` | string | Model that produced the verdict |
| `latency_ms` | int | Evaluation time in milliseconds |
When intent validation is active, the `approve_request` event is also extended:
each item in `items` gains a `verdict` field containing the heuristic verdict
(same schema as above but with `tier: "heuristic"`), and the event gains a
top-level `judge_pending` boolean indicating whether an LLM verdict is in
flight.
#### Keepalive
The server sends an SSE comment every 5 seconds when no events are pending:
@@ -296,13 +512,13 @@ The server sends an SSE comment every 5 seconds when no events are pending:
This prevents proxies and browsers from closing the connection due to
inactivity.
#### Generation mechanism
#### Multi-consumer fan-out
Each new SSE connection to a workstream increments an internal
`_sse_generation` counter. The previous SSE handler detects the generation
mismatch and exits its event loop, ensuring only one active SSE connection per
workstream at a time. The event queue is drained of stale events before the new
connection begins streaming.
Each SSE connection to a workstream receives its own delivery queue. Events
produced by the worker thread are fanned out to all registered listener queues,
so multiple consumers (browser, bridge, console proxy, SDK) can connect
simultaneously and each receives every event. On reconnect the client receives
a full history replay, so no catch-up mechanism is needed.
---
@@ -351,8 +567,8 @@ Returns a list of all active workstreams.
```json
{
"workstreams": [
{"id": "abc123", "name": "default", "state": "idle", "session_id": "a1b2c3d4e5f6"},
{"id": "def456", "name": "hacker-news", "state": "thinking", "session_id": "c5d6e7f8a9b0"}
{"id": "abc123", "name": "default", "state": "idle"},
{"id": "def456", "name": "hacker-news", "state": "thinking"}
]
}
```
@@ -364,22 +580,21 @@ Each workstream object:
| `id` | string | Unique workstream routing identifier |
| `name` | string | Display name (alias if set, otherwise `ws-xxxx`) |
| `state` | string | Current state (see state values above) |
| `session_id` | string/null | Session ID of the workstream's `ChatSession`, used for deduplication against `/v1/api/sessions` |
---
### `GET /v1/api/sessions`
### `GET /v1/api/workstreams/saved`
Returns a list of saved sessions from the database, ordered by most recently
Returns a list of saved workstreams from the database, ordered by most recently
updated.
**Response:**
```json
{
"sessions": [
"workstreams": [
{
"session_id": "a1b2c3d4e5f6",
"ws_id": "a1b2c3d4e5f6",
"alias": "refactor",
"title": "JWT Authentication Refactor",
"created": "2026-03-01 10:00:00",
@@ -390,16 +605,16 @@ updated.
}
```
Each session object:
Each saved workstream object:
| Field | Type | Description |
|-----------------|-------------|--------------------------------------------|
| `session_id` | string | Unique 12-char hex session identifier |
| `ws_id` | string | Unique workstream identifier |
| `alias` | string/null | User-assigned short name |
| `title` | string/null | LLM-generated title |
| `created` | string | ISO timestamp of session creation |
| `created` | string | ISO timestamp of workstream creation |
| `updated` | string | ISO timestamp of last message |
| `message_count` | int | Number of messages in the session |
| `message_count` | int | Number of messages in the workstream |
---
@@ -538,6 +753,43 @@ containing the resumed session's messages.
---
### `POST /v1/api/cancel`
Cancels the active generation in a workstream. Sets a cooperative cancellation
flag that is checked at multiple points in the generation loop (per streaming
chunk, before tool execution, inside bash commands). The session transitions to
`idle` state and preserves any partial content already streamed.
If the workstream is waiting for tool approval or plan review, the pending
prompt is automatically denied/rejected to unblock the worker thread.
Calling this endpoint when the workstream is already idle is a harmless no-op.
**Request body:**
```json
{"ws_id": "abc123"}
```
| Field | Type | Required | Description |
|--------|--------|----------|----------------------|
| `ws_id`| string | yes | Target workstream ID |
**Response:**
```json
{"status": "ok"}
```
**Error responses:**
| Status | Body | Condition |
|--------|------------------------------------|------------------------|
| 400 | `{"error": "No session"}` | Session not initialized|
| 404 | `{"error": "Unknown workstream"}` | `ws_id` not found |
---
### `POST /v1/api/workstreams/new`
Creates a new workstream. The server supports up to 10 concurrent workstreams.
@@ -550,22 +802,29 @@ Creates a new workstream. The server supports up to 10 concurrent workstreams.
All fields are optional. The body can be empty or an empty JSON object.
| Field | Type | Default | Description |
|----------------|--------|---------|------------------------------------------------|
| `name` | string | auto | Workstream display name |
| `model` | string | default | Model alias from the registry (`[models.*]`) |
| `auto_approve` | bool | false | Auto-approve all tool calls for this workstream |
| Field | Type | Default | Description |
|------------------|--------|---------|----------------------------------------------------------------|
| `name` | string | auto | Workstream display name |
| `model` | string | default | Model alias from the registry (`[models.*]`) |
| `auto_approve` | bool | false | Auto-approve all tool calls for this workstream |
| `resume_ws` | string | "" | Workstream ID to resume atomically during creation (empty = fresh)|
| `template` | string | "" | Prompt template name (replaces default templates; 400 if not found)|
| `ws_template` | string | "" | Workstream template name. Applies model, temperature, reasoning effort, max tokens, auto-approve policy, and token budget. Returns 400 if not found or disabled. |
> **Template precedence:** When `ws_template` is specified, its model override takes effect before workstream creation. Both `template` (prompt template) and `ws_template` (workstream template) can be used together — `ws_template` controls the behavioral profile while `template` sets the system message text. If `ws_template` defines its own system prompt or prompt template reference, that takes precedence over the `template` parameter.
**Response (success):**
```json
{"ws_id": "ghi789", "name": "ws-3"}
{"ws_id": "ghi789", "name": "ws-3", "resumed": false, "message_count": 0}
```
| Field | Type | Description |
|---------|--------|------------------------------------|
| `ws_id` | string | Unique ID of the new workstream |
| `name` | string | Auto-generated workstream name |
| Field | Type | Description |
|-----------------|--------|-----------------------------------------------------|
| `ws_id` | string | Unique ID of the new workstream |
| `name` | string | Auto-generated workstream name |
| `resumed` | bool | Whether a previous session was successfully resumed |
| `message_count` | int | Number of messages in the resumed session (0 if fresh) |
**Error (limit reached):**
@@ -608,6 +867,548 @@ Status code: `400`
---
### `GET /v1/api/watches`
List active watches on this server node. Optionally filter by workstream.
Requires `write` scope.
**Query parameters:**
| Parameter | Type | Required | Description |
|-----------|--------|----------|------------------------------------|
| `ws_id` | string | no | Filter to watches for this workstream. If omitted, returns all watches on the node. |
**Response:**
```json
{
"watches": [
{
"watch_id": "abc123def456...",
"ws_id": "ws-1",
"node_id": "host_a1b2",
"name": "pr-review",
"command": "gh pr view --json state",
"interval_secs": 300.0,
"stop_on": "data[\"state\"] == \"MERGED\"",
"max_polls": 100,
"poll_count": 5,
"last_output": "{\"state\": \"OPEN\"}",
"last_poll": "2026-03-09T12:00:00",
"next_poll": "2026-03-09T12:05:00",
"active": 1,
"created": "2026-03-09T11:30:00"
}
]
}
```
---
### `POST /v1/api/watches/{watch_id}/cancel`
Cancel an active watch. Sets `active=0` and clears `next_poll`.
Requires `write` scope. Verifies node ownership in multi-node deployments.
**Path parameters:**
| Parameter | Type | Description |
|------------|--------|-----------------|
| `watch_id` | string | Watch ID to cancel |
**Response (success):**
```json
{"status": "ok", "watch_id": "abc123def456..."}
```
**Error (not found):**
```json
{"error": "Watch not found"}
```
Status code: `404`
**Error (wrong node):**
```json
{"error": "Watch belongs to another node"}
```
Status code: `403`
---
### `GET /v1/api/memories`
List structured memories with optional filters. Requires `read` scope.
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|------------|--------|----------|---------|------------------------------|
| `type` | string | no | `""` | Filter by memory type (user, project, feedback, reference) |
| `scope` | string | no | `""` | Filter by scope (global, workstream, user) |
| `scope_id` | string | no | `""` | Scope qualifier. Auto-resolved for `scope=user` when auth is active. |
| `limit` | int | no | `100` | Max results (capped at 200) |
**Response:**
```json
{
"memories": [
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "project_architecture",
"description": "Core architecture patterns",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "The project uses a hexagonal architecture...",
"created": "2026-03-10T10:00:00",
"updated": "2026-03-12T14:30:00"
}
],
"total": 1
}
```
---
### `POST /v1/api/memories`
Save or upsert a structured memory. Requires `write` scope. Returns `201` on
create, `200` on update.
**Request body:**
```json
{
"name": "deployment_process",
"content": "Deploy via GitHub Actions. Staging auto-deploys on push to main.",
"description": "CI/CD deployment workflow",
"type": "project",
"scope": "global",
"scope_id": ""
}
```
| Field | Type | Required | Default | Description |
|--------------|--------|----------|-------------|--------------------------------------|
| `name` | string | yes | -- | Memory name (max 256 chars) |
| `content` | string | yes | -- | Memory content (max 65536 chars) |
| `description`| string | no | `""` | Short description for search ranking |
| `type` | string | no | `"project"` | One of: user, project, feedback, reference |
| `scope` | string | no | `"global"` | One of: global, workstream, user |
| `scope_id` | string | no | `""` | Scope qualifier (auto-resolved for user scope) |
**Response (created):** `201`
```json
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "deployment_process",
"description": "CI/CD deployment workflow",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "Deploy via GitHub Actions...",
"created": "2026-03-14T10:00:00",
"updated": "2026-03-14T10:00:00"
}
```
**Error responses:**
| Status | Condition |
|--------|--------------------------------------------------------|
| 400 | Missing name, empty content, invalid type/scope, name too long, content too long |
---
### `POST /v1/api/memories/search`
Search memories by query. Uses POST for the request body but is non-mutating
(requires only `read` scope).
**Request body:**
```json
{
"query": "authentication",
"type": "project",
"scope": "",
"limit": 20
}
```
| Field | Type | Required | Default | Description |
|------------|--------|----------|---------|--------------------------------|
| `query` | string | yes | -- | Search query |
| `type` | string | no | `""` | Filter by type |
| `scope` | string | no | `""` | Filter by scope |
| `scope_id` | string | no | `""` | Filter by scope ID |
| `limit` | int | no | `20` | Max results (capped at 50) |
**Response:**
```json
{
"memories": [
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "auth_patterns",
"description": "Authentication architecture",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "JWT tokens with HS256...",
"created": "2026-03-10T10:00:00",
"updated": "2026-03-12T14:30:00"
}
],
"total": 1
}
```
**Error:** `400` with `{"error": "query is required"}` if `query` is empty.
---
### `DELETE /v1/api/memories/{name}`
Delete a memory by name and scope. Requires `write` scope.
**Path parameters:**
| Parameter | Type | Description |
|-----------|--------|----------------------|
| `name` | string | Memory name |
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|------------|--------|----------|------------|---------------------|
| `scope` | string | no | `"global"` | Scope of the memory |
| `scope_id` | string | no | `""` | Scope qualifier |
**Response (success):** `200`
```json
{"status": "ok", "name": "deployment_process"}
```
**Error (not found):** `404`
```json
{"error": "Memory 'deployment_process' not found"}
```
---
### `GET /v1/api/admin/memories` (Console)
List structured memories across all scopes. Requires `admin.memories`
permission.
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|------------|--------|----------|---------|------------------------------|
| `type` | string | no | `""` | Filter by type |
| `scope` | string | no | `""` | Filter by scope |
| `scope_id` | string | no | `""` | Filter by scope ID |
| `limit` | int | no | `100` | Max results (capped at 200) |
**Response:** `200` -- same schema as `GET /v1/api/memories`.
---
### `GET /v1/api/admin/memories/search` (Console)
Search memories by query. Requires `admin.memories` permission.
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|------------|--------|----------|---------|-------------------------------|
| `q` | string | yes | -- | Search query |
| `type` | string | no | `""` | Filter by type |
| `scope` | string | no | `""` | Filter by scope |
| `scope_id` | string | no | `""` | Filter by scope ID |
| `limit` | int | no | `20` | Max results (capped at 50) |
**Response:** `200` -- same schema as `GET /v1/api/memories`.
**Error:** `400` with `{"error": "q is required"}` if `q` is empty.
---
### `GET /v1/api/admin/memories/{memory_id}` (Console)
Get a single memory by ID. Requires `admin.memories` permission.
**Path parameters:**
| Parameter | Type | Description |
|-------------|--------|------------------------|
| `memory_id` | string | Memory UUID |
**Response (success):** `200`
```json
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "project_architecture",
"description": "Core architecture patterns",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "The project uses...",
"created": "2026-03-10T10:00:00",
"updated": "2026-03-12T14:30:00"
}
```
**Error (not found):** `404`
```json
{"error": "Memory not found"}
```
---
### `DELETE /v1/api/admin/memories/{memory_id}` (Console)
Delete a memory by ID. Records an audit event (`memory.delete`). Requires
`admin.memories` permission.
**Path parameters:**
| Parameter | Type | Description |
|-------------|--------|------------------------|
| `memory_id` | string | Memory UUID |
**Response (success):** `200`
```json
{"status": "ok"}
```
**Error (not found):** `404`
```json
{"error": "Memory not found"}
```
---
### `GET /v1/api/admin/verdicts` (Console)
List intent validation verdicts from the `intent_verdicts` table. This endpoint
is on the **console** server and requires the `admin.judge` permission.
**Query parameters:**
| Parameter | Type | Required | Description |
|--------------|--------|----------|----------------------------------------------------|
| `ws_id` | string | no | Filter by workstream ID |
| `since` | string | no | ISO timestamp lower bound |
| `until` | string | no | ISO timestamp upper bound |
| `risk_level` | string | no | Filter by risk level (`low`/`medium`/`high`/`critical`) |
| `limit` | int | no | Max results (default 100, max 500) |
| `offset` | int | no | Pagination offset (default 0) |
**Response:**
```json
{
"verdicts": [
{
"verdict_id": "a1b2c3d4e5f6",
"ws_id": "ws-1",
"call_id": "call_abc123",
"func_name": "bash",
"func_args": "{\"command\": \"npm install express\"}",
"intent_summary": "Package installation: npm install express",
"risk_level": "medium",
"confidence": 0.70,
"recommendation": "review",
"reasoning": "Command installs a software package which may modify the environment.",
"evidence": "[\"Matched rule: package-install\"]",
"tier": "heuristic",
"judge_model": "",
"latency_ms": 0,
"user_decision": "approved",
"created": "2026-03-13T10:00:00"
}
],
"total": 42
}
```
---
### `GET /v1/api/admin/settings` (Console)
List all settings with their effective values, defaults, and metadata. Requires
the `admin.settings` permission.
**Response:** `200`
```json
{
"settings": [
{
"key": "model.temperature",
"value": 0.7,
"source": "storage",
"type": "float",
"description": "Sampling temperature",
"section": "model",
"is_secret": false,
"node_id": "",
"changed_by": "admin",
"updated": "2026-03-14T10:00:00",
"restart_required": false
}
]
}
```
---
### `GET /v1/api/admin/settings/schema` (Console)
Return the full registry catalog (all defined settings with metadata). Requires
the `admin.settings` permission. Useful for building dynamic admin UIs.
**Response:** `200`
```json
{
"schema": [
{
"key": "model.temperature",
"type": "float",
"default": 0.5,
"description": "Sampling temperature",
"section": "model",
"is_secret": false,
"min_value": 0.0,
"max_value": 2.0,
"choices": null,
"restart_required": false
}
]
}
```
---
### `PUT /v1/api/admin/settings/{key}` (Console)
Update a setting. Requires the `admin.settings` permission. The value is
validated against the registry definition (type coercion, range checks, choices).
Secret settings (`is_secret=true`) return `403`.
**Path parameters:**
| Parameter | Type | Description |
|-----------|--------|-------------|
| `key` | string | Dotted setting key (e.g. `model.temperature`) |
**Request body:**
```json
{
"value": 0.7,
"node_id": ""
}
```
| Field | Type | Required | Default | Description |
|-----------|--------|----------|---------|-------------|
| `value` | any | yes | -- | New value (type-coerced against registry) |
| `node_id` | string | no | `""` | Node ID for per-node override |
**Response (success):** `200`
```json
{
"key": "model.temperature",
"value": 0.7,
"source": "storage",
"type": "float",
"description": "Sampling temperature",
"section": "model",
"is_secret": false,
"node_id": "",
"changed_by": "admin",
"updated": "",
"restart_required": false
}
```
**Errors:**
| Status | Condition |
|--------|-----------|
| 400 | Unknown key, invalid value, type mismatch, out of range, missing `value` field |
| 403 | Secret setting (must use config.toml or env) |
---
### `DELETE /v1/api/admin/settings/{key}` (Console)
Reset a setting to its registry default by removing it from storage. Requires
the `admin.settings` permission.
**Path parameters:**
| Parameter | Type | Description |
|-----------|--------|-------------|
| `key` | string | Dotted setting key |
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|-----------|--------|----------|---------|-------------|
| `node_id` | string | no | `""` | Node ID (empty = global) |
**Response (success):** `200`
```json
{"status": "ok", "key": "model.temperature", "default": 0.5}
```
**Response (not found):** `404`
```json
{"error": "Setting 'model.temperature' has no stored value"}
```
---
### MCP Servers
| Method | Path | Description |
|--------|------|-------------|
| GET | `/v1/api/admin/mcp-servers` | List all MCP server definitions with live node status. Query: `?reveal=true` to show env/header secrets. |
| POST | `/v1/api/admin/mcp-servers` | Create an MCP server definition. Body: `{name, transport, command?, args?, url?, headers?, env?, auto_approve?, enabled?}` |
| GET | `/v1/api/admin/mcp-servers/{server_id}` | Get a single MCP server with per-node connection status. |
| PUT | `/v1/api/admin/mcp-servers/{server_id}` | Update an MCP server definition. Partial updates supported. |
| DELETE | `/v1/api/admin/mcp-servers/{server_id}` | Delete an MCP server definition. |
| POST | `/v1/api/admin/mcp-servers/reload` | Tell all cluster nodes to re-read the `mcp_servers` DB table and reconcile (add new, remove stale, reconnect changed). |
| POST | `/v1/api/admin/mcp-servers/import` | Import servers from a pasted JSON config. Body: `{config: {mcpServers: {...}}}`. Skips existing names. |
Permission: `admin.mcp`
Secrets (`env`, `headers` fields) are masked with `***` by default. Use `?reveal=true` on GET endpoints to see actual values.
---
### `OPTIONS` (any path)
Handles CORS preflight requests.
@@ -692,7 +1493,8 @@ liveness probes.
```json
{
"status": "ok",
"version": "0.3.0",
"version": "0.4.0",
"node_id": "worker-01_a3f2",
"uptime_seconds": 3614.72,
"model": "llama-3.1-70b-instruct",
"workstreams": {
@@ -714,6 +1516,7 @@ liveness probes.
|-------|------|-------------|
| `status` | string | `"ok"` or `"degraded"` (degraded when backend unreachable) |
| `version` | string | turnstone server version |
| `node_id` | string | Server-generated node identity (`{hostname}_{4hex}`) |
| `uptime_seconds` | number | Seconds since the server process started |
| `model` | string | Model name detected or configured at startup |
| `workstreams.total` | integer | Total active workstreams |
+359 -72
View File
@@ -3,7 +3,7 @@
Turnstone is an AI orchestration platform with tool use, parallel workstreams, and persistent
memory. It connects to any OpenAI-compatible API (local vLLM, OpenAI, etc.) or
Anthropic's native Messages API via pluggable provider adapters, and gives the
model 14 built-in tools plus external tools via MCP (Model Context Protocol) for
model 17 built-in tools plus external tools via MCP (Model Context Protocol) for
reading, writing, searching, planning, and executing code.
The core design principle is a **UI-agnostic engine with pluggable frontends**.
@@ -21,6 +21,8 @@ plugs in.
| `turnstone-bridge` | `turnstone.mq.bridge` | Bridge | Message queue ↔ HTTP API bridge |
| `turnstone-console` | `turnstone.console.server` | ClusterCollector | Cluster dashboard (aggregates all nodes) |
| `turnstone-eval` | `turnstone.eval` | `NullUI` | Headless evaluation and prompt optimization |
| `turnstone-channel` | `turnstone.channels.cli` | ChannelAdapter | Channel gateway (Discord, Slack, etc.) via Redis MQ |
| `turnstone-admin` | `turnstone.core.admin_cli` | — | Offline user and API token management |
---
@@ -40,9 +42,15 @@ turnstone/
__init__.py create_provider() + create_client() factory functions
workstream.py Parallel workstream manager (WorkstreamState, Workstream, WorkstreamManager)
tools.py Tool schema loader (JSON -> OpenAI function-calling format)
mcp_client.py MCPClientManager — MCP server connections, tool discovery, async-sync bridge
mcp_client.py MCPClientManager — MCP server connections, tool discovery, dynamic refresh, async-sync bridge
tool_search.py Dynamic tool search — BM25 index, session-scoped tool visibility
watch.py WatchRunner daemon — periodic command polling, condition DSL, result dispatch
judge.py Intent validation — heuristic rules + LLM judge, advisory verdicts
model_registry.py ModelRegistry — named model configs, lazy client creation, fallback routing
memory.py Persistence facade (delegates to storage backend)
memory.py Persistence facade + structured memory API (delegates to storage backend)
config.py Config file loader (config.toml), apply_config(), warn_migrated_settings()
config_store.py ConfigStore — database-backed settings with in-memory cache, thread-safe get/set
settings_registry.py SettingDef catalog (~40 settings), validation, type coercion, serialization
storage/ Pluggable storage: StorageBackend protocol, SQLite + PostgreSQL
metrics.py Prometheus-compatible metrics collector (MetricsCollector)
healthcheck.py BackendHealthMonitor — periodic probe + circuit breaker
@@ -73,8 +81,15 @@ turnstone/
client.py TurnstoneClient library + TurnResult for MQ-based access
console/
collector.py ClusterCollector — aggregates state from all nodes via Redis + HTTP
scheduler.py TaskScheduler — background cron/at scheduler, dispatches via MQ
server.py Cluster dashboard HTTP server + SSE + CLI entry point
static/ Cluster dashboard web UI (page-specific HTML, CSS, JS)
channels/
cli.py Unified channel gateway entry point (turnstone-channel)
_protocol.py ChannelAdapter protocol, ChannelEvent dataclass
_routing.py ChannelRouter — channel/thread ↔ workstream mapping via MQ
_config.py Base ChannelConfig dataclass
discord/ Discord adapter (bot, cog, views, streaming, config)
shared_static/ Shared design system (base.css, auth.js, theme.js, toast.js, utils.js, kb.js)
ui/
colors.py ANSI color constants with NO_COLOR support
@@ -85,7 +100,7 @@ turnstone/
style.css Page-specific UI styles (dashboard layout, approval blocks)
app.js Page-specific client-side JavaScript (SSE, workstreams, markdown)
tools/
*.json 14 tool schemas (OpenAI function-calling format + turnstone metadata)
*.json 15 tool schemas (OpenAI function-calling format + turnstone metadata)
```
Both UIs share a common design system extracted into `turnstone/shared_static/`: design tokens, login overlay, toast notifications, theme toggle, keyboard shortcuts, and utility functions. Each UI imports `base.css` and the shared JS modules at `/shared/`, then adds only page-specific code at `/static/`.
@@ -118,6 +133,7 @@ A user message flows through the system as follows:
| on_reasoning_token() / on_content_token()
| accumulate tool_calls from deltas
| track finish_reason
| _check_cancelled() per chunk (cooperative cancel)
v
finish_reason check:
+--- "length" --> warn, discard partial tool_calls
@@ -163,11 +179,13 @@ Phase 2: APPROVE (serial, blocking)
_emit_state("running")
Phase 3: EXECUTE (parallel)
_check_cancelled() <-- cancellation checkpoint before execution starts
if len(items) == 1:
run_one(items[0])
else:
ThreadPoolExecutor(max_workers=4).map(run_one, items)
Bash tool streams stdout line-by-line via ui.on_tool_output_chunk(call_id, line)
(cancel_event also checked per line — kills process group on cancel)
Final output (stdout + stderr) delivered via ui.on_tool_result(call_id, name, output)
call_id links tool_info items → streaming chunks → final result
For plan tool: post-execution gate via ui.on_plan_review()
@@ -198,6 +216,11 @@ The engine emits state changes via `_emit_state()` which calls
"idle" ---> no more tool calls, turn complete
|
(or "error" ---> exception or KeyboardInterrupt)
cancel() may be called from any state. It sets a cooperative flag
checked at each streaming chunk, before tool execution, and inside
bash commands. The session transitions to "idle" with partial
content preserved, emitting on_info("[Generation cancelled]").
```
---
@@ -416,13 +439,13 @@ from each schema and builds:
- `PRIMARY_KEY_MAP` -- `{name: primary_key}` for JSON fallback recovery
- `merge_mcp_tools(builtin, mcp_tools)` -- merges built-in + MCP tools at session init
### 14 Tools by Category
### 13 Tools by Category
**Read-only (auto-approve)**:
- `read_file` -- read file contents with optional offset/limit
- `search` -- ripgrep-based codebase search
- `man` -- read man pages
- `recall` -- retrieve stored memories
- `recall` -- search conversation history
**Write (requires approval)**:
- `bash` -- execute shell commands (with safety checks via `turnstone.core.safety`)
@@ -436,9 +459,8 @@ from each schema and builds:
- `task` -- delegate to a sub-agent with full tool access (`TASK_AGENT_TOOLS`)
- `plan` -- explore codebase and write a structured plan (`AGENT_TOOLS`)
**Memory (persistent key-value store)**:
- `remember` -- save a fact
- `forget` -- delete a fact
**Memory (structured persistent store)**:
- `memory` -- save, search, delete, or list memories (typed and scoped)
### Prepare / Execute Pattern
@@ -463,7 +485,7 @@ independently, then returns the final content as the tool result.
- **task**: uses `self._task_tools` (`TASK_AGENT_TOOLS` + MCP tools)
- **plan**: uses `self._agent_tools` (`AGENT_TOOLS` + MCP tools). Writes output
to `.plan-<session_id>.md` — unique per `ChatSession` so concurrent workstreams
to `.plan-<ws_id>.md` — unique per `ChatSession` so concurrent workstreams
don't collide. On repeat invocations the prior `plan` tool call and its result
are forwarded from `self.messages` so the agent refines the existing plan rather
than starting over. Planning instructions are injected as a developer message
@@ -484,21 +506,46 @@ independently, then returns the final content as the tool result.
and exposes their tools alongside built-in tools. The MCP SDK is fully async; turnstone
bridges this with a background asyncio event loop in a daemon thread.
**Configuration sources:** MCP servers can be defined in config files (TOML/JSON)
or in the database via the admin UI. Database-backed definitions are managed
through the console admin panel's MCP Servers tab and stored in the
`mcp_servers` table. On startup, `load_mcp_config(storage=)` uses
first-match-wins priority: DB rows (if any enabled) take precedence over
config files. The console can trigger a cluster-wide reload (`POST
/_internal/mcp-reload`) that causes each node to call `reconcile_sync()`,
which diffs the running MCP connections against the current DB state and
adds, removes, or reconnects servers as needed.
**Lifecycle:**
1. `create_mcp_client()` reads server configs from TOML or JSON
1. `create_mcp_client()` reads server configs from TOML/JSON and database
2. `MCPClientManager.start()` launches the background event loop thread
3. `_connect_all()` connects to each server (stdio subprocess or HTTP), runs
`initialize()` + `list_tools()`, converts schemas to OpenAI format
4. `ChatSession.__init__` receives the manager and builds `self._tools` (built-in + MCP)
`initialize()` + `list_tools()`, converts schemas to OpenAI format, detects
`tools.listChanged` capability for push notification support
4. `ChatSession.__init__` receives the manager, builds `self._tools` (built-in + MCP),
and registers a listener callback for tool-change notifications
5. `_prepare_tool()` routes MCP tools to `_prepare_mcp_tool()` / `_exec_mcp_tool()`
6. `_exec_mcp_tool()` calls `call_tool_sync()` which dispatches to the async loop
via `asyncio.run_coroutine_threadsafe()`
**Tool refresh:** Three mechanisms keep tools up-to-date without restart:
- **Push:** Servers declaring `tools.listChanged` send `ToolListChangedNotification`;
the registered `message_handler` triggers immediate single-server refresh.
- **Periodic:** Servers without push support are polled on a staggered interval
(default 4 h, configurable via `[mcp] refresh_interval` or `--mcp-refresh-interval`).
- **Manual:** `/mcp refresh [server]` calls `refresh_sync()` for on-demand refresh
(also attempts reconnection for disconnected servers).
When tools change, `_rebuild_tools()` creates new `_tools`/`_tool_map` objects
(copy-on-write for thread safety) and notifies listener callbacks. Each `ChatSession`
rebuilds its merged tool lists and reconstructs `ToolSearchManager` (preserving
expanded tools).
**Tool naming:** `mcp__{server}__{tool}` — double underscore delimiter, validated
at connection time (server names with `__` are rejected).
**Error isolation:** Per-server connection failures are caught and logged; other
servers still connect. Tool execution errors return error strings to the LLM
**Error isolation:** Per-server connection/refresh failures are caught and logged; other
servers are unaffected. Tool execution errors return error strings to the LLM
rather than crashing the session.
### Provider Adapter Layer
@@ -535,21 +582,23 @@ LLMProvider (protocol)
|------|--------|
| `StreamChunk` | `content_delta`, `reasoning_delta`, `tool_call_deltas`, `info_delta`, `usage`, `finish_reason` |
| `CompletionResult` | `content`, `tool_calls`, `finish_reason`, `usage` |
| `ModelCapabilities` | `context_window`, `max_output_tokens`, `supports_temperature`, `token_param`, `thinking_mode`, `supports_effort`, `supports_web_search` |
| `ModelCapabilities` | `context_window`, `max_output_tokens`, `supports_temperature`, `token_param`, `thinking_mode`, `supports_effort`, `supports_web_search`, `supports_tool_search`, `supports_vision` |
| `UsageInfo` | `prompt_tokens`, `completion_tokens`, `total_tokens` |
**OpenAIProvider** (`_openai.py`): passes messages through unchanged (they are
already in OpenAI format). Model capability lookup table covers
GPT-5/5.1/5.2, O-series, and search models (`gpt-5-search-api`).
already in OpenAI format), including multi-part content blocks (text + images)
in tool results. Model capability lookup table covers GPT-5/5.1/5.2/5.3/5.4,
O-series, and search models (`gpt-5-search-api`) — all with `supports_vision`.
For search models, injects `web_search_options` and removes the `web_search`
function tool (the model always searches). Citations from `url_citation`
annotations are formatted as footnotes. Unknown models (local servers) get
permissive defaults and use Tavily for web search.
permissive defaults with `supports_vision=False` and use Tavily for web search.
**AnthropicProvider** (`_anthropic.py`): converts OpenAI-format messages to
Anthropic content blocks, maps `system`/`developer` roles to the `system`
parameter, groups consecutive `tool` result messages into user-role content
blocks, and translates tool schemas from OpenAI function-calling format to
blocks (converting `image_url` parts to Anthropic's `image` source format),
and translates tool schemas from OpenAI function-calling format to
Anthropic's `input_schema` format. Supports both manual and adaptive thinking
modes, with effort parameter support for models like Claude Opus 4.6 and
Sonnet 4.6. Replaces the `web_search` function tool with Anthropic's native
@@ -595,6 +644,18 @@ agent_model = "claude"
Each `[models.*]` entry produces a `ModelConfig` with a `provider` field
(default: `"openai"`). Supported values: `"openai"` and `"anthropic"`.
An optional `[models.*.capabilities]` sub-table overrides per-model
`ModelCapabilities` flags (useful for local models whose capabilities
cannot be detected programmatically):
```toml
[models.qwen-vl]
base_url = "http://localhost:8000/v1"
model = "qwen-3.5-vl"
[models.qwen-vl.capabilities]
supports_vision = true
```
**Lifecycle:**
1. `load_model_registry()` reads `[models.*]` sections from config.toml and
@@ -615,7 +676,8 @@ Each `[models.*]` entry produces a `ModelConfig` with a `provider` field
**Per-workstream selection:** `POST /v1/api/workstreams/new` accepts an optional
`"model"` field. The bridge `CreateWorkstreamMessage` carries the same field
through the MQ protocol.
through the MQ protocol, along with `ws_template` (workstream template name)
which can override the model before workstream creation.
### Tool Output Truncation
@@ -679,8 +741,11 @@ memories
created TEXT NOT NULL
updated TEXT NOT NULL
sessions
session_id TEXT PRIMARY KEY
workstreams
ws_id TEXT PRIMARY KEY
node_id TEXT NOT NULL
name TEXT NOT NULL
state TEXT NOT NULL DEFAULT 'idle'
alias TEXT UNIQUE -- user-assigned short name (nullable)
title TEXT -- LLM-generated title (nullable)
created TEXT NOT NULL
@@ -688,7 +753,7 @@ sessions
conversations
id INTEGER PRIMARY KEY AUTOINCREMENT
session_id TEXT NOT NULL
ws_id TEXT NOT NULL
timestamp TEXT NOT NULL
role TEXT NOT NULL -- user | assistant | tool_call | tool_result
content TEXT
@@ -697,8 +762,8 @@ conversations
tool_call_id TEXT -- links tool_call ↔ tool_result for resume
provider_data TEXT -- raw provider content (e.g. Anthropic encrypted)
session_config
session_id TEXT NOT NULL -- composite PK with key
workstream_config
ws_id TEXT NOT NULL -- composite PK with key
key TEXT NOT NULL
value TEXT
@@ -713,18 +778,21 @@ and are the single source of truth for both backends and Alembic migrations.
| Method | Purpose |
|--------|---------|
| `register_session(session_id, title)` | Create a sessions row (no-op if exists) |
| `save_message(session_id, role, content, ...)` | Log a message to conversations |
| `load_session_messages(session_id)` | Reconstruct OpenAI message format from DB rows |
| `list_sessions(limit)` | List sessions with >=1 message, ordered by updated DESC |
| `delete_session(session_id)` | Delete session and all its messages |
| `prune_sessions(retention_days)` | Remove empty sessions and old unnamed sessions |
| `resolve_session(alias_or_id)` | Resolve alias, exact id, or id prefix to full session_id |
| `save_session_config(session_id, config)` | Persist session configuration key/value pairs |
| `load_session_config(session_id)` | Retrieve session configuration |
| `set_session_alias(session_id, alias)` | Set user-friendly alias (returns False if taken) |
| `get_session_name(session_id)` | Return alias if set, else title, else None |
| `update_session_title(session_id, title)` | Set/update LLM-generated title |
| `register_workstream(ws_id, node_id, name, state)` | Create a workstreams row (no-op if exists) |
| `save_message(ws_id, role, content, ...)` | Log a message to conversations |
| `load_messages(ws_id)` | Reconstruct OpenAI message format from DB rows |
| `list_workstreams_with_history(limit)` | List workstreams with >=1 message, ordered by updated DESC |
| `delete_workstream(ws_id)` | Delete workstream and cascade conversations + config |
| `prune_workstreams(retention_days)` | Remove empty workstreams and old unnamed workstreams |
| `resolve_workstream(alias_or_id)` | Resolve alias, exact id, or id prefix to full ws_id |
| `save_workstream_config(ws_id, config)` | Persist workstream configuration key/value pairs |
| `load_workstream_config(ws_id)` | Retrieve workstream configuration |
| `set_workstream_alias(ws_id, alias)` | Set user-friendly alias (returns False if taken) |
| `get_workstream_display_name(ws_id)` | Return alias if set, else title, else None |
| `update_workstream_title(ws_id, title)` | Set/update LLM-generated title |
| `update_workstream_state(ws_id, state)` | Update workstream state and bump timestamp |
| `update_workstream_name(ws_id, name)` | Update workstream display name |
| `list_workstreams(node_id, limit)` | List workstreams, optionally by node |
| `kv_get(key)` / `kv_set(key, value)` / `kv_delete(key)` | Generic key-value store (backs memories table) |
| `kv_list()` / `kv_search(query)` | List or search key-value pairs |
| `search_history(query, limit)` | Full-text search (FTS5 on SQLite, tsvector on PostgreSQL) |
@@ -743,57 +811,59 @@ pool_size = 5 # PostgreSQL connection pool size
Environment variables: `TURNSTONE_DB_BACKEND`, `TURNSTONE_DB_URL`, `TURNSTONE_DB_PATH`.
### Session Persistence and Resume
### Persistence and Resume
Each `ChatSession` generates a 12-char hex `_session_id` on creation and
registers it in the `sessions` table. Messages are saved to `conversations`
as they happen via `save_message()`.
`ws_id` is the sole persistent identity for both routing and conversation
history. There is no separate `session_id` — the `workstreams` table holds
alias, title, and state alongside the routing fields (`node_id`, `name`).
Messages are saved to `conversations` (keyed by `ws_id`) as they happen
via `save_message()`. Workstream state changes are tracked via
`update_workstream_state()`.
**Auto-titling:** After the first complete exchange (user message + assistant
response), a background thread calls the LLM with a title-generation prompt
(`reasoning_effort: "low"`, `max_completion_tokens: 200`). The generated
title (3-8 words) is stored in `sessions.title`.
title (3-8 words) is stored in `workstreams.title`.
**Resume flow:** `ChatSession.resume_session(session_id)` calls
`load_session_messages()` which reconstructs the OpenAI message format from
database rows:
**Resume flow:** `ChatSession.resume(ws_id)` calls `load_messages()` which
reconstructs the OpenAI message format from database rows:
- `user` and `assistant` rows map directly
- Consecutive `tool_call` rows are grouped into one assistant message's
`tool_calls` array, paired with subsequent `tool_result` rows via
`tool_call_id` (or positional matching for legacy data)
- **Interrupted session repair:** If the last assistant message has
`tool_calls` but fewer tool results than expected (session was
- **Interrupted conversation repair:** If the last assistant message has
`tool_calls` but fewer tool results than expected (conversation was
interrupted mid-execution), the incomplete turn is stripped so the
LLM can re-generate cleanly
- The session adopts the old `_session_id`, so new messages continue in
the same session
- The `ChatSession` adopts the resumed `_ws_id`, so new messages continue
in the same workstream
**Config persistence:** LLM-affecting parameters (`temperature`,
`reasoning_effort`, `max_tokens`, `instructions`, `creative_mode`) are
persisted to the `session_config` table on creation and whenever changed
via slash commands. `resume_session()` restores these values so resumed
sessions behave identically to the original.
persisted to the `workstream_config` table on creation and whenever changed
via slash commands. `resume()` restores these values so resumed workstreams
behave identically to the original.
**`/clear` vs `/new`:** `/clear` wipes in-memory context but preserves
messages in the database for future resume. `/new` starts a fresh session
(new `_session_id`), leaving the old session resumable.
messages in the database for future resume. `/new` starts a fresh workstream
(new `_ws_id`), leaving the old workstream resumable.
**Resolution:** `resolve_session()` accepts aliases, exact session IDs, or
session ID prefixes, enabling `turnstone --resume refactor` or `/resume abc12`.
**Resolution:** `resolve_workstream()` accepts aliases, exact workstream IDs,
or ID prefixes, enabling `turnstone --resume refactor` or `/resume abc12`.
**Session listing:** `list_sessions()` only returns sessions that have at
least one saved message (`WHERE EXISTS` on `conversations`). Sessions
registered but never used (e.g., from process startup) are invisible until
a message is sent.
**Workstream listing:** `list_workstreams_with_history()` only returns
workstreams that have at least one saved message (`WHERE EXISTS` on
`conversations`). Workstreams registered but never used (e.g., from process
startup) are invisible until a message is sent.
**Session pruning:** `prune_sessions(retention_days, log_fn)` runs once at
startup (CLI and server). It removes:
- Sessions with no messages (orphaned registrations)
- Unnamed sessions (`alias IS NULL`) older than `retention_days` days (default 90)
**Workstream pruning:** `prune_workstreams(retention_days, log_fn)` runs once
at startup (CLI and server). It removes:
- Workstreams with no messages (orphaned registrations)
- Unnamed workstreams (`alias IS NULL`) older than `retention_days` days (default 90)
Named (aliased) sessions are never age-pruned. Configure with
`--session-retention-days N` (0 = disable age pruning).
Named (aliased) workstreams are never age-pruned. Configure with
`--retention-days N` (0 = disable age pruning).
---
@@ -910,6 +980,98 @@ limits using a token-bucket algorithm. Each IP gets a `TokenBucket` with
---
## User Identity and Authentication
Turnstone supports three authentication mechanisms, unified behind an
`AuthResult` dataclass that carries `user_id`, `scopes`, and `token_source`:
1. **Config-file tokens** — static secrets in `config.toml` `[[auth.tokens]]`
or the `TURNSTONE_AUTH_TOKEN` env var. Validated in-memory via
`hmac.compare_digest`. Map to scopes through their role (`read` or `full`).
2. **API tokens** — database-backed, prefixed `ts_`, stored as SHA-256 hashes
in the `api_tokens` table. Can be exchanged for JWTs via
`POST /v1/api/auth/login`.
3. **JWTs** — short-lived HMAC-SHA256 session tokens (default 24h) issued after
successful credential validation. Contain `sub` (user_id), `scopes`, and
`src` (origin) in claims.
### Scope Model
Three hierarchical scopes control endpoint access:
| Scope | Grants | Endpoints |
|-------|--------|-----------|
| `read` | SSE streams, workstream listing, history | GET endpoints |
| `write` | `read` + send, command, workstream create/close | POST to `/api/send`, `/api/command`, etc. |
| `approve` | `write` + tool approval, admin operations | POST to `/api/approve`, `/api/admin/*` |
### Middleware Flow
`AuthMiddleware` (ASGI) intercepts every request:
1. **Public path check**`/`, `/static/*`, `/shared/*`, `/health`,
`/metrics`, `/openapi.json`, `/docs`, `/api/auth/*`, and `/api/auth/setup`
are always allowed.
2. **Token extraction**`Authorization: Bearer <token>` header first, then
`turnstone_auth` cookie as fallback.
3. **Token type detection** — dots in the token indicate JWT; `ts_` prefix
indicates API token; otherwise config-file token.
4. **Validation** — JWT signature check, API token hash lookup in storage, or
config-token hmac comparison.
5. **Scope check**`required_scope(method, path)` determines the minimum
scope; the request is rejected with 403 if the token lacks it.
6. **Context propagation** — on success, `ctx_user_id` is set so structured
logging includes the authenticated identity on every log event.
### Architecture Split
- **Console** is the auth management hub — it hosts the admin endpoints for
creating users, issuing API tokens, and managing channel mappings. User
records and token hashes live in the shared storage backend. The console
dashboard includes an **admin panel** (14 tabs) for managing
credentials, governance, MCP servers, and runtime settings through the browser.
- **Server** is a JWT validator only — it validates tokens on each request but
never creates users or tokens. Both processes share the same `jwt_secret`
(via `TURNSTONE_JWT_SECRET` env var or `[auth].jwt_secret` config).
- **First-time setup** — both server and console expose
`POST /v1/api/auth/setup`, a public endpoint that creates the initial admin
user when no users exist. This avoids the chicken-and-egg problem of needing
`approve` scope to create the first user via `/api/admin/users`.
### Auth Storage Tables
Three tables in `storage/_schema.py` support identity:
```sql
users
user_id TEXT PRIMARY KEY
username TEXT NOT NULL UNIQUE
display_name TEXT NOT NULL
password_hash TEXT NOT NULL -- bcrypt
created TEXT NOT NULL
api_tokens
token_id TEXT PRIMARY KEY
token_hash TEXT NOT NULL UNIQUE -- SHA-256 of raw token
token_prefix TEXT NOT NULL -- first 8 chars for display
user_id TEXT NOT NULL
name TEXT NOT NULL -- human-readable label
scopes TEXT NOT NULL -- comma-separated
created TEXT NOT NULL
expires TEXT -- optional expiry timestamp
channel_users
channel_type TEXT NOT NULL -- e.g. "slack", "discord"
channel_user_id TEXT NOT NULL -- platform-specific user ID
user_id TEXT NOT NULL -- FK to users
PRIMARY KEY (channel_type, channel_user_id)
```
See [docs/security.md](security.md) for full security details including token
lifecycle, password hashing, and deployment hardening.
---
## Threading Model
### CLI
@@ -973,7 +1135,7 @@ context manager handles startup/shutdown (health monitor, MCP client,
registry).
Each workstream's `WebUI` has:
- `_event_queue` (per-workstream SSE events, `queue.Queue`)
- `_listeners` (per-client SSE queues, fan-out on `_enqueue()`)
- `_approval_event` / `_plan_event` (`threading.Event` for blocking)
- `_global_queue` (class variable, shared, for state broadcasts)
@@ -1033,17 +1195,27 @@ bridge auto-approves via `POST /v1/api/approve`. Otherwise, it publishes an
`BLPOP` of a Redis response queue (`turnstone:resp:{request_id}`) until the client pushes
a response or the approval timeout (default 3600s / 1 hour) expires.
**Cancellation:** The `CancelMessage` (type `"cancel"`) is a routed inbound message.
The bridge dispatches it to `POST /v1/api/cancel` on the server owning the workstream,
which sets the cooperative cancel flag and unblocks any pending approval/plan waits.
**Completion detection:** The bridge tracks which `correlation_id` maps to which
`ws_id` for active sends. When the global SSE reports `ws_state → idle` for a tracked
workstream, the bridge emits a synthetic `TurnCompleteEvent` with the correlation ID.
**Multi-node routing:** Each bridge has a `node_id` (defaults to hostname) and BLPOPs
**Multi-node routing:** Each bridge retrieves its `node_id` from the server's
`/health` endpoint on startup (with exponential backoff retry). The server
generates the `node_id` (`{hostname}_{4hex}`) and is the sole authority for
node identity. The bridge BLPOPs
from both `turnstone:inbound:{node_id}` (directed, priority) and `turnstone:inbound` (shared).
Messages with `target_node` set are pushed to the target's per-node queue. Messages
for existing workstreams are auto-routed via `turnstone:ws:{ws_id}` ownership keys in Redis.
If a bridge picks up a shared-queue message for a workstream owned by another node, it
re-routes to that node's queue (1 extra hop). Bridges publish heartbeats to
`turnstone:node:{node_id}` with configurable TTL for node discovery.
On startup, `_recover_workstreams` re-registers ownership of existing
workstreams and publishes `WorkstreamCreatedEvent` to the cluster channel
so the console collector picks them up immediately.
### Cluster Console
@@ -1069,14 +1241,21 @@ The console HTTP layer is a Starlette/ASGI app served by uvicorn. The SSE
endpoint uses `EventSourceResponse` with the same listener queue pattern as
the main server. `ClusterCollector`'s background threads (event subscriber,
node discovery, poll loop) use sync Redis clients and `ThreadPoolExecutor`
for parallel HTTP polling.
for parallel HTTP polling. The poll loop diffs workstream IDs between poll
cycles and fans out synthetic `ws_created`/`ws_closed` SSE events for any
changes, ensuring browser clients stay in sync even when real-time cluster
events are missed (e.g. bridge startup recovery).
The console has two write-path capabilities:
1. **Workstream creation** — pushes `CreateWorkstreamMessage` to Redis inbound
queues targeting specific nodes. The bridge on each node picks up the message
and creates the workstream on the local server. Auto-selects the node with
the most available capacity if no target is specified.
the most available capacity if no target is specified. When a `ws_template`
field is present, the server resolves the template BEFORE `mgr.create()`
(applying the model override to the creation request) and snapshot-applies
remaining settings (auto-approve, token budget, temperature, etc.) to the
workstream config AFTER creation.
2. **Reverse proxy** — serves each node's server UI through the console port at
`/node/{node_id}/`. Uses `httpx.AsyncClient` to proxy HTTP and SSE traffic.
@@ -1128,7 +1307,7 @@ typed event dataclasses.
**Two client pairs** (sync + async):
- `TurnstoneServer` / `AsyncTurnstoneServer` — server API (workstreams, chat, streaming, sessions)
- `TurnstoneServer` / `AsyncTurnstoneServer` — server API (workstreams, chat, streaming)
- `TurnstoneConsole` / `AsyncTurnstoneConsole` — console API (cluster overview, nodes, workstreams)
**Design**: async-first with thin sync wrappers. `_BaseClient` provides httpx
@@ -1152,3 +1331,111 @@ with TurnstoneServer("http://localhost:8080", token="tok_xxx") as client:
result = client.send_and_wait("Hello!", ws.ws_id)
print(result.content)
```
---
## Channel Integrations
> See also: [Channel Integrations guide](channels.md)
The `turnstone-channel` gateway bridges external messaging platforms
(Discord, Slack, Teams) to the turnstone cluster via Redis MQ. Each
platform adapter implements the `ChannelAdapter` protocol and translates
between platform-native events and turnstone MQ messages.
The `ChannelRouter` manages bidirectional routing: it maps platform
channel/thread IDs to turnstone workstream IDs, handles workstream
creation and stale-route recovery, and resolves platform users to
turnstone identities via the `channel_users` table. When an evicted
workstream is reactivated, the router uses atomic resume via the
`resume_ws` field on `CreateWorkstreamMessage` — the server resumes
the old workstream's conversation during creation in a single HTTP
request, eliminating ordering fragility. The bridge emits a
`WorkstreamResumedEvent` to confirm success.
Discord ships as the first adapter. See [channels.md](channels.md) for
setup instructions, configuration reference, and the adapter development
guide.
### Notification Subsystem
The `notify` tool enables the LLM to send notifications to users or
channels without going through MQ. The server calls the channel gateway
directly over HTTP for lower latency: `_exec_notify()` queries the
`services` database table for healthy channel gateways (heartbeat within
120 seconds), authenticates with a service JWT (`aud: turnstone-channel`),
and POSTs to `POST /v1/api/notify` on the first healthy gateway. The
gateway validates the JWT, resolves the target (username lookup via
`channel_users` or direct `channel_type`+`channel_id`), and delegates to
the appropriate `ChannelAdapter.send()`. Delivery retries up to 3 times
with backoff, re-querying the service registry on each attempt. See
[Notification Flow diagram](diagrams/png/17-notify-flow.png).
---
## Governance
> See also: [Governance documentation](governance.md) | [Governance Architecture diagram](diagrams/19-governance-architecture.puml)
Turnstone governance extends the Phase 1 auth system with role-based access
control (RBAC), tool execution policies, prompt templates, usage tracking,
and audit logging. The permission model has two layers: legacy scopes
(`read`, `write`, `approve`) checked by `AuthMiddleware`, and 15 granular
permissions checked per-endpoint by `require_permission()`. Three built-in
roles (admin, operator, viewer) are seeded by migration 008; custom roles
can be created with any permission subset. JWTs carry both `scopes` and
`permissions` claims for backward compatibility.
Tool policies use glob pattern matching (`fnmatch`) with priority-ordered
first-match-wins evaluation to control tool execution (allow/deny/ask).
Prompt templates provide reusable system messages with `{{variable}}`
substitution. Usage events are recorded per-LLM-request for token
accounting. An append-only audit log captures all admin mutations.
Workstream templates build on top of prompt templates as complete behavioral
profiles applied at workstream creation. While prompt templates inject system
message text, workstream templates define model, temperature, reasoning effort,
max tokens, auto-approve policy, token budget, and agent max turns. Templates
are snapshot-applied once at creation — not a live binding. The
`workstream_templates` table (migration 011) supports auto-versioning, and
workstreams record which template and version spawned them. Token budget
enforcement tracks consumption in `session.send()` with 80% warning and
100% approval gate via the `__budget_override__` synthetic tool name.
The console admin panel adds 6 governance tabs (Roles, Policies, Templates,
WS Templates, Usage, Audit), a Memories tab, a Settings tab (form-based
editor for all ConfigStore settings), and an MCP Servers tab (database-backed
server definitions with live connection status and cluster-wide reload) for a
total of 14 tabs, all permission-gated.
Both Python and TypeScript SDKs expose governance methods on the console
client.
## Intent Validation
> See also: [Intent Validation guide](judge.md) | [Judge Architecture diagram](diagrams/png/22-judge-architecture.png)
Intent validation provides advisory risk assessments for tool calls that
require human approval. The system runs a two-tier evaluation pipeline
implemented in `turnstone/core/judge.py`:
1. **Heuristic tier** (synchronous, sub-millisecond) -- A priority-ordered
rule table using fnmatch tool patterns and regex argument patterns. Four
severity levels: critical (deny), high (review), medium (review), low
(approve). First match wins. The heuristic verdict is attached to the
`approve_request` SSE event immediately.
2. **LLM judge tier** (asynchronous, daemon thread) -- A multi-turn evaluation
where the judge LLM receives conversation context and tool call details,
optionally uses `read_file`/`list_directory` to gather evidence (with
security-hardened path blocking), and produces a structured JSON verdict.
If the LLM verdict has higher confidence than the heuristic, it replaces
it via an `intent_verdict` SSE event.
The judge is session-scoped (`IntentJudge`), lazy-initialized on first
approval, and configured via the `[judge]` config section or `--judge` CLI
flags. By default it uses self-consistency (same model), but supports
cross-model and cross-provider configurations. Sub-agents (plan, task)
are exempt. All verdicts are persisted to the `intent_verdicts` table
(migration 012) with the user's final decision, enabling future calibration.
The console exposes `GET /v1/api/admin/verdicts` for audit queries
(requires `admin.judge` permission).
+346
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@@ -0,0 +1,346 @@
# Channel Integrations
The `turnstone-channel` gateway connects external messaging platforms to
turnstone workstreams via Redis MQ. Each platform adapter translates
platform-native events (messages, button clicks, slash commands) into
turnstone MQ messages, and renders workstream output back into the
platform's UI.
Discord ships as the first adapter. The adapter protocol is designed for
future Slack and Teams integrations.
---
## Architecture
```
Discord Gateway
|
v
turnstone-channel (Discord adapter)
|
v
Redis MQ
|
v
turnstone-bridge ──> turnstone-server
```
Key components:
- **ChannelAdapter protocol** (`turnstone/channels/_protocol.py`) — generic
interface for any messaging platform. Defines `start()`, `stop()`,
`send()`, `edit_message()`, `send_approval_request()`,
`send_plan_review()`, and `create_thread()`.
- **ChannelRouter** (`turnstone/channels/_routing.py`) — maps
channel/thread IDs to turnstone workstream IDs. Handles workstream
creation via MQ, stale route detection, and user identity resolution.
- **AsyncRedisBroker** (`turnstone/mq/async_broker.py`) — async Redis
client compatible with discord.py's event loop. Used by the router for
pub/sub and queue operations.
- **channel_users table** — maps `(channel_type, channel_user_id)` to a
turnstone `user_id`. Messages from unlinked users are silently dropped.
- **channel_routes table** — persistent channel-to-workstream mappings.
Survives bot restarts. Stale routes (evicted workstreams) are detected
and refreshed on the next message.
---
## Discord Setup
### 1. Create a Discord Application
1. Go to https://discord.com/developers/applications
2. Click **New Application** and give it a name
3. Navigate to the **Bot** tab and click **Reset Token** to generate a
bot token. Copy it immediately — it is shown only once.
4. On the same **Bot** tab, scroll down to **Privileged Gateway Intents**
and enable **MESSAGE CONTENT INTENT**
5. Navigate to **OAuth2 > URL Generator**
6. Under **Scopes**, check `bot` and `applications.commands`
7. Under **Bot Permissions**, check:
- View Channels
- Send Messages
- Send Messages in Threads
- Create Public Threads
- Read Message History
- Add Reactions
- Embed Links
8. Copy the generated URL, open it in a browser, and add the bot to your
Discord server
### 2. Configure Turnstone
**Environment variables** (recommended for Docker):
```bash
TURNSTONE_DISCORD_TOKEN=your-bot-token-here
TURNSTONE_DISCORD_GUILD=123456789 # optional, restrict to one guild
```
**CLI flags** (bare-metal):
```bash
turnstone-channel \
--discord-token "your-bot-token" \
--discord-guild 123456789 \
--redis-host localhost \
--redis-port 6379
```
**Docker Compose** (production profile):
```bash
# In .env file:
TURNSTONE_DISCORD_TOKEN=your-bot-token
TURNSTONE_DISCORD_GUILD=123456789
```
Then start the stack:
```bash
docker compose --profile production up
```
The `channel` service starts automatically when
`TURNSTONE_DISCORD_TOKEN` is set.
### 3. Link User Accounts
Discord users must link their account to a turnstone user before they can
interact with the bot. Unlinked users' messages are silently ignored.
1. The user must have a turnstone API token — created via the admin panel
or `turnstone-admin create-token`
2. In Discord, the user runs `/link`. A modal appears prompting for the
API token (the token is never visible in Discord audit logs because it
is submitted via modal, not as a slash command argument).
3. The token is validated against the database. If valid, a
`channel_users` mapping is created.
4. The user can now @mention the bot or use slash commands.
An admin can also force-link or unlink users via the console admin panel
(Admin > Channels tab).
---
## Usage
### Conversations
- **@mention** the bot in any allowed channel to start a new conversation.
The bot creates a Discord thread from the message and a turnstone
workstream behind it.
- All subsequent messages in the thread are routed to the same workstream.
- The bot streams responses via message edits, updated approximately every
1.5 seconds.
- If the workstream is evicted for capacity, the next message in the
thread auto-creates a new workstream and atomically resumes the
previous workstream via the `resume_ws` field on
`CreateWorkstreamMessage`. The server resumes the workstream during
creation (same HTTP request), and the bridge emits a
`WorkstreamResumedEvent` back to the channel. The thread receives a
*"Resumed: {name} ({count} messages restored)"* confirmation.
### Slash Commands
| Command | Description |
|---------|-------------|
| `/link` | Link Discord account to turnstone (opens modal for API token) |
| `/unlink` | Unlink Discord account |
| `/ask <message>` | Create a new thread and workstream with an initial message |
| `/status` | Show workstream info for the current thread (ephemeral) |
| `/close` | Close the workstream, delete the route, and archive the thread |
### Tool Approvals
When manual approval is enabled (the default), tool calls are displayed as
an orange embed with:
- Tool name and argument preview
- **Approve** (green), **Reject** (red), **Always Approve** (gray) buttons
- Only linked users can interact with approval buttons
- The approval decision is forwarded through MQ to the bridge, which
relays it to the server
Buttons use static `custom_id` values so they survive bot restarts.
Correlation data (`ws_id`, `correlation_id`) is stored in the embed footer.
**Auto-approval:** When `auto_approve` is true (via `--auto-approve`), or when
all tools in the request match the `auto_approve_tools` list in the adapter
config, the bot auto-responds with approval and posts a
"*Tool auto-approved.*" notice to the thread instead of showing buttons. The
`auto_approve_tools` list is set via the `ChannelConfig.auto_approve_tools`
field (useful for allowing specific tools like `bash` or `read_file` while
still requiring manual approval for others).
### Plan Reviews
Plan review requests are displayed as a blue embed with:
- **Approve Plan** (green) button — approves the plan with empty feedback
- **Request Changes** (gray) button — opens a modal for feedback text
(up to 2000 characters)
- Feedback is forwarded through MQ as a `PlanFeedbackMessage`
---
## Configuration Reference
| CLI Flag | Env Var | Default | Description |
|----------|---------|---------|-------------|
| `--discord-token` | `TURNSTONE_DISCORD_TOKEN` | — | Bot token (required to enable Discord) |
| `--discord-guild` | — | `0` (all guilds) | Restrict to a single Discord guild |
| `--discord-channels` | — | empty (all) | Comma-separated channel IDs to allow |
| `--redis-host` | `REDIS_HOST` | `localhost` | Redis host |
| `--redis-port` | — | `6379` | Redis port |
| `--redis-password` | `REDIS_PASSWORD` | — | Redis password |
| `--redis-db` | — | `0` | Redis DB number |
| `--model` | — | server default | Default model for new workstreams |
| `--auto-approve` | — | `false` | Auto-approve ALL tool calls (skips approval buttons entirely) |
| `--http-host` | — | `127.0.0.1` | HTTP server bind address for notify endpoint |
| `--http-port` | `TURNSTONE_CHANNEL_PORT` | `8091` | HTTP server port |
| `--auth-token` | `TURNSTONE_CHANNEL_AUTH_TOKEN` | — | Static auth token for `/v1/api/notify` (alternative to JWT) |
| `--log-level` | `TURNSTONE_LOG_LEVEL` | `INFO` | Log level |
| `--log-format` | `TURNSTONE_LOG_FORMAT` | `auto` | Log format (`auto`/`json`/`text`) |
---
## User Identity
- The `channel_users` table maps `(channel_type, channel_user_id)` to a
turnstone `user_id`
- Self-service linking via the `/link` slash command (modal input, not
visible in Discord audit logs)
- Admin can force-link or unlink via the console admin panel (Admin >
Channels tab). Unlinking uses a styled confirmation modal.
- Unlinked users' messages are silently dropped
- A user can be linked across multiple platforms (e.g. Discord + Slack)
See [Security: Database Schema](security.md#database-schema) for the
`channel_users` table definition.
---
## Workstream Lifecycle
1. **Creation**@mention or `/ask` creates a Discord thread and a
turnstone workstream. The `ChannelRouter` persists the mapping in the
`channel_routes` table.
2. **Active** — messages are routed bidirectionally. The bot streams
responses via message edits (updated every ~1.5 seconds).
3. **Eviction** — the server evicts an idle workstream for capacity. The
route is preserved and the thread stays open.
4. **Reactivation** — the next message in the thread detects the stale
route (no MQ owner) and creates a new workstream with the old `ws_id`
as `resume_ws` on the `CreateWorkstreamMessage`. The server resumes
the workstream during creation (no separate command or reverse lookup
needed). The bridge emits a `WorkstreamResumedEvent` to the channel, and
the thread displays *"Resumed: {name} ({count} messages restored)"*.
If the old workstream was pruned, a fresh one starts with no error.
5. **Close**`/close` command closes the workstream via MQ, deletes the
route, unsubscribes from events, and archives the Discord thread.
---
## Notifications
> See also: [Notification Flow diagram](diagrams/png/17-notify-flow.png)
The `notify` tool allows the LLM to proactively send notifications to
users or channels on external platforms. This is useful for alerting
people about task completion, errors, or important updates without
waiting for them to check in.
### Targeting
Two modes:
- **Username** — provide a turnstone `username`. The gateway resolves
it via the `channel_users` table and sends to all linked channels
(e.g. Discord + future Slack).
- **Direct** — provide `channel_type` + `channel_id` to target a
specific platform channel or user DM.
### Delivery Flow
Notifications bypass MQ for lower latency. The server calls the channel
gateway directly over HTTP:
1. The LLM calls the `notify` tool with a message and target
2. `_exec_notify()` queries the `services` table for healthy channel
gateways (heartbeat within the last 120 seconds)
3. The server mints a service JWT (`aud: turnstone-channel`) via
`ServiceTokenManager` and POSTs to the first healthy gateway
4. The gateway validates the JWT, resolves the target, and calls
`adapter.send()` on the appropriate platform adapter
5. On failure, the server tries the next gateway. If all fail, it
retries up to 2 more times (delays: 1s, 3s), re-querying the
service registry on each attempt
### Service Registry
The channel gateway registers itself in the `services` database table
on startup and sends a heartbeat every 30 seconds. On shutdown it
deregisters. Services are considered stale after 120 seconds (4 missed
heartbeats) and are excluded from `list_services()` queries.
The `services` table schema:
| Column | Description |
|--------|-------------|
| `service_type` | Service category (e.g. `"channel"`) |
| `service_id` | Unique instance ID (`channel-<hostname>-<random>`) |
| `url` | HTTP base URL for the service |
| `last_heartbeat` | ISO 8601 timestamp of last heartbeat |
| `created` | ISO 8601 timestamp of initial registration |
### Security
- **Authentication** — the gateway's `POST /v1/api/notify` endpoint
requires authentication. Configure either `TURNSTONE_JWT_SECRET`
(the server mints JWTs with `aud: turnstone-channel` automatically)
or a static token via `--auth-token`. If neither is set, the
gateway fails closed and rejects all requests with 401. Server JWTs
(`aud: turnstone-server`) are rejected.
- **Rate limit** — maximum 5 notifications per turn. The counter only
increments on successful delivery, so failures don't consume the
budget.
- **SSRF protection** — only `http://` and `https://` service URLs
are allowed. Other schemes are silently skipped.
- **Mention sanitization** — `discord.utils.escape_mentions()` is
applied before sending, preventing `@everyone` / `@here` abuse.
- **Error redaction** — generic error messages are returned to the
LLM. Internal details (service IDs, URLs, exception messages) are
logged server-side only.
---
## Adding New Adapters
The `ChannelAdapter` protocol defines the interface any platform adapter
must implement:
```python
class ChannelAdapter(Protocol):
channel_type: str
async def start(self) -> None: ...
async def stop(self) -> None: ...
async def send(self, channel_id: str, content: str) -> str: ...
async def edit_message(self, channel_id: str, message_id: str, content: str) -> None: ...
async def send_approval_request(self, channel_id: str, ws_id: str, correlation_id: str, items: list[dict]) -> None: ...
async def send_plan_review(self, channel_id: str, ws_id: str, correlation_id: str, content: str) -> None: ...
async def create_thread(self, parent_channel_id: str, name: str, message_id: str = "") -> str: ...
```
To add a new platform:
1. Create `turnstone/channels/<platform>/` package
2. Implement the `ChannelAdapter` protocol
3. Add a `--<platform>-token` flag and detection logic in
`turnstone/channels/cli.py`
4. Add the optional dependency in `pyproject.toml` (e.g.
`turnstone[slack]`)
See `turnstone/channels/discord/` as a reference implementation.
+344 -6
View File
@@ -61,6 +61,8 @@ The collector (`turnstone/console/collector.py`) maintains an in-memory snapshot
3. **Poll loop** — fetches `GET /v1/api/dashboard` and `GET /health` from each known node every 10 seconds. Uses `ThreadPoolExecutor(max_workers=50)` for parallelism. Each poll replaces the node's workstream list with the authoritative server data.
A `get_snapshot()` method builds the full cluster state under a single lock acquisition — overview aggregates and per-node workstream lists in one atomic read. This is served both as a REST endpoint and as the initial SSE event on client connect.
### Thread Safety
All reads and writes to the node/workstream map are protected by a single `threading.Lock`. Query methods acquire the lock, copy data, and release before returning.
@@ -146,9 +148,41 @@ Single node detail with all its workstreams.
}
```
### `GET /v1/api/cluster/snapshot`
Full cluster state in a single response — all nodes with their workstreams plus overview aggregates. Built under a single lock for internal consistency. Used by the browser on initial load and SSE reconnect.
```json
{
"nodes": [
{
"node_id": "db-west-04",
"server_url": "http://10.0.3.4:8080",
"max_ws": 10,
"reachable": true,
"version": "0.3.0",
"health": {"status": "ok", "version": "0.3.0"},
"aggregate": {"total_tokens": 48200, "total_tool_calls": 156},
"workstreams": [
{"id": "a1b2c3d4", "name": "perf-db-west", "state": "running", ...}
]
}
],
"overview": {
"nodes": 847,
"workstreams": 4219,
"states": {"running": 1847, "thinking": 312, "attention": 89, "idle": 1940, "error": 31},
"aggregate": {"total_tokens": 12400000, "total_tool_calls": 34200},
"version_drift": false,
"versions": ["0.3.0"]
},
"timestamp": 1709294400.0
}
```
### `POST /v1/api/cluster/workstreams/new`
Create a new workstream on a target node. Dispatches a `CreateWorkstreamMessage` through the Redis MQ pipeline — the bridge on the target node picks it up and creates the workstream on the server. Requires `"full"` auth role.
Create a new workstream on a target node. Dispatches a `CreateWorkstreamMessage` through the Redis MQ pipeline — the bridge on the target node picks it up and creates the workstream on the server. Requires `write` scope.
Request:
@@ -182,7 +216,7 @@ Creation is asynchronous — the response confirms the MQ message was dispatched
### `GET /v1/api/cluster/events`
Server-Sent Events stream for real-time cluster updates.
Server-Sent Events stream for real-time cluster updates. The first event is always a `snapshot` containing the full cluster state (same shape as `GET /v1/api/cluster/snapshot` with an added `type: "snapshot"` field), followed by incremental events:
```
data: {"type":"cluster_state","ws_id":"a1b2","node_id":"db-west-04","state":"running"}
@@ -207,6 +241,108 @@ Keepalive comments (`: keepalive\n\n`) are sent every 5 seconds. Clients should
}
```
### Admin API
User and token management endpoints. All admin endpoints require `approve` scope, except for the setup endpoint which is public.
#### `POST /v1/api/auth/setup`
Creates the first admin user when no users exist. Public endpoint (no auth required). Returns a JWT and sets a session cookie. Returns `409` if users already exist. See [Security: First-time setup](security.md#first-time-setup) for full details.
#### `POST /v1/api/admin/users`
Create a new user.
```json
{
"username": "alice",
"password": "s3cret",
"scopes": ["read", "write"]
}
```
#### `GET /v1/api/admin/users`
List all users.
```json
{
"users": [
{"user_id": "u_abc123", "username": "alice", "scopes": ["read", "write"], "created": "2026-03-01T12:00:00Z"}
]
}
```
#### `DELETE /v1/api/admin/users/{user_id}`
Delete a user and revoke all their tokens.
#### `POST /v1/api/admin/users/{user_id}/tokens`
Create an API token for the given user. Returns a `ts_`-prefixed token string that can be used for Bearer auth or passed to `client.login(token="ts_xxx")`.
```json
{
"name": "CI pipeline",
"scopes": ["read", "write"]
}
```
#### `GET /v1/api/admin/users/{user_id}/tokens`
List active tokens for a user (token strings are not returned, only metadata).
#### `DELETE /v1/api/admin/tokens/{token_id}`
Revoke a specific API token.
### Channel links
| Method | Path | Description |
|--------|------|-------------|
| GET | `/v1/api/admin/users/{user_id}/channels` | List channel links for a user |
| POST | `/v1/api/admin/users/{user_id}/channels` | Link a channel account (channel_type, channel_user_id) |
| DELETE | `/v1/api/admin/channels/{channel_type}/{channel_user_id}` | Unlink a channel account |
These endpoints manage the `channel_users` table mappings that connect external platform identities (e.g. Discord user IDs) to turnstone users. See [Channel Integrations](channels.md) for details on the linking flow.
### Workstream Templates
| Method | Path | Description |
|--------|------|-------------|
| GET | `/v1/api/admin/ws-templates` | List all workstream templates |
| POST | `/v1/api/admin/ws-templates` | Create a workstream template |
| GET | `/v1/api/admin/ws-templates/{id}` | Get a single workstream template |
| PUT | `/v1/api/admin/ws-templates/{id}` | Update (auto-versions, audit logged) |
| DELETE | `/v1/api/admin/ws-templates/{id}` | Delete + cascade versions (audit logged) |
| GET | `/v1/api/admin/ws-templates/{id}/versions` | Version history |
| GET | `/v1/api/ws-templates` | Enabled templates summary (name, description, model) — requires write scope, not admin |
#### `GET /v1/api/auth/status`
Public endpoint for login UI state detection. Returns auth configuration, not
current-user identity.
```json
{
"auth_enabled": true,
"has_users": true,
"setup_required": false
}
```
### Auth Scopes
The auth system uses three scopes instead of the earlier read/full role model:
| Scope | Grants |
|-------|--------|
| `read` | Read-only access: dashboards, workstream lists, SSE streams, health |
| `write` | Send messages, create/close workstreams, approve tool calls |
| `approve` | Admin operations: manage users and API tokens |
Scopes are cumulative — a user with `approve` scope can also perform `write` and `read` operations.
---
## Reverse Proxy
@@ -236,17 +372,17 @@ The server UI uses root-relative URLs (`/v1/api/send`, `/static/app.js`, `/share
### SSE Proxy
SSE streams (`/v1/api/events`, `/v1/api/events/global`) are proxied by creating a per-connection `httpx.AsyncClient(timeout=None)`, streaming the upstream response via `aiter_text()`, parsing SSE framing (`\n\n` delimiters), and re-emitting events through `EventSourceResponse`. Each proxied SSE stream requires its own httpx client since the shared client's 30-second timeout would kill long-lived connections.
SSE streams (`/v1/api/events`, `/v1/api/events/global`) are proxied as raw byte passthrough — the console opens an `httpx.AsyncClient.stream()` to the upstream server (with `read=None` and `pool=None` timeouts since SSE connections are long-lived) and relays every byte via `StreamingResponse`. This preserves server-side ping comments, event framing, and keepalives verbatim without parsing or re-encoding.
### Authentication
The proxy forwards requests to server nodes using the console's `--auth-token`. The console's own auth middleware also checks proxy routes — `POST` requests to proxy write endpoints (`/v1/api/send`, `/v1/api/approve`, etc.) require the `"full"` auth role, preventing read-only tokens from escalating to write operations.
The proxy forwards the user's JWT to upstream server nodes — it extracts the token from the incoming request's cookie (or `Authorization` header) and adds it as a `Bearer` header on the proxied request. Since all services share the same `TURNSTONE_JWT_SECRET`, the user's JWT is valid on every node without re-authentication. The console's own auth middleware also checks proxy routes — `POST` requests to proxy write endpoints (`/v1/api/send`, `/v1/api/approve`, etc.) require `write` scope, preventing read-only tokens from escalating via proxy. The static `--auth-token` / `proxy_auth_token` is used as a fallback when no user JWT is present.
---
## Browser Dashboard
The web UI has four views, toggled client-side:
The web UI has five views, toggled client-side:
### 1. Cluster Overview (landing)
@@ -271,12 +407,214 @@ Breadcrumb: `Cluster > Running` or `Cluster > db-west-04`. Server-side paginated
Triggered by the "+ new" header button. A modal dialog with:
- **Node selector** — dropdown with three targeting modes: "Auto (best available)" picks the node with the most headroom, "General pool (any node)" pushes to the shared queue for any bridge to pick up, or a specific node from the list (showing capacity).
- **Profile** — optional dropdown listing enabled workstream templates. Applies the template's model, auto-approve policy, token budget, and other behavioral settings at creation time.
- **Name** — optional text input. Auto-generated if left empty.
- **Model** — optional text input for a model alias from the target node's registry.
On submit, `POST /v1/api/cluster/workstreams/new` dispatches the creation request. A toast confirms success; the SSE stream delivers the `ws_created` event to update the dashboard.
All four views receive live updates via SSE — state cards update counts, node rows update metrics, workstream rows update state indicators.
All five views receive live updates via SSE — state cards update counts, node rows update metrics, workstream rows update state indicators.
The browser maintains a local `clusterState` object that mirrors the cluster snapshot. It is initialized from the SSE `snapshot` event on connect (or via `GET /v1/api/cluster/snapshot` on initial page load) and updated incrementally by SSE events. View navigation reads from local state — no API round-trips needed after the initial snapshot.
### 5. Admin Panel
Accessed via the "admin" button in the header (visible when authenticated
with `approve` scope). Provides user, API token, channel link, and workstream
template management with 13 tabs (see also [Governance](governance.md) for
the Roles, Policies, Templates, WS Templates, Usage, and Audit tabs, and
[Settings](settings.md) for the database-backed configuration editor):
**Users tab:**
- Grid table listing all users (username, display name, role, creation date)
- "Create User" button opens a modal with fields for username, display name,
and password (validated: username 1-64 ASCII, password min 8 characters)
- Delete button on each row opens a styled confirmation modal before
removing the user and cascading to revoke all their tokens
**Tokens tab:**
- User selector dropdown to pick which user's tokens to manage
- Grid table listing tokens for the selected user (name, prefix, scopes,
creation date)
- Scope badges rendered as colored pills for visual clarity
- "Create Token" button opens a modal with fields for token name and scope
checkboxes
- On creation, a "Token Created" modal displays the raw `ts_`-prefixed
token with a copy button. The token is shown once and cannot be retrieved
again.
- Revoke button on each row opens a styled confirmation modal before
deleting the token
**Channels tab:**
- User selector dropdown to pick which user's channel links to manage
- Grid table listing linked channel accounts for the selected user
(channel type, channel user ID, creation date)
- "Link Channel" button opens a modal with fields for channel type
(e.g. `discord`) and the platform user ID
- Unlink button on each row opens a styled confirmation modal before
removing the channel mapping
- Admins can force-link users who have not self-linked via `/link` in
Discord
**Accessibility:**
- Full keyboard navigation: focus traps in modals, Escape to close, arrow
keys for tab switching
- Responsive layout with column hiding at 700px breakpoint
**First-time setup:**
The console also exposes `POST /v1/api/auth/setup` for first-time
bootstrap. When no users exist, the setup wizard calls this public endpoint
to create the initial admin user and receive a JWT in one step. See
[Security: First-time setup](security.md#first-time-setup) for details.
---
## Scheduled Tasks
The console includes a background **TaskScheduler** daemon that creates workstreams on a timed basis via the MQ broker. It supports cron-based recurring schedules and one-shot `at` schedules.
### Architecture
The scheduler runs as a daemon thread inside the console process. Every `check_interval` seconds (default 15) it:
1. Acquires a distributed lock via Redis `SET NX EX` (prevents duplicate dispatch in multi-console deployments)
2. Queries the storage backend for tasks whose `next_run <= now` and `enabled = true`
3. Dispatches each due task as one or more `CreateWorkstreamMessage` via MQ
4. Updates `last_run` and computes the next `next_run` (or disables one-shot `at` tasks)
5. Releases the lock via Lua script (safe conditional delete)
Run history is automatically pruned (runs older than 90 days) approximately once per hour.
### Schedule Types
| Type | Field | Behavior |
|------|-------|----------|
| `cron` | `cron_expr` | Recurring schedule using standard 5-field cron syntax. Requires `croniter`. |
| `at` | `at_time` | One-shot: fires once at the given ISO 8601 timestamp (must include timezone), then auto-disables. |
### Target Modes
| Mode | Behavior |
|------|----------|
| `auto` | Picks the reachable node with the most available capacity |
| `pool` | Pushes to the shared inbound queue (any bridge picks it up) |
| `all` | Fan-out to all reachable nodes (capped at `max_fan_out`, default 20) |
| `<node_id>` | Targets a specific node by ID |
### Configuration
| Parameter | Default | Description |
|-----------|---------|-------------|
| `check_interval` | `15.0` | Seconds between scheduler ticks |
| `lock_ttl` | `60` | Distributed lock TTL in seconds |
| `max_fan_out` | `20` | Maximum nodes for `all` target mode |
Dependency: `croniter` (installed with turnstone).
### Schedule API
All schedule endpoints require `approve` scope. Maximum 200 schedules.
#### `GET /v1/api/admin/schedules`
List all scheduled tasks.
```json
{
"schedules": [
{
"task_id": "a1b2c3d4",
"name": "nightly-checks",
"description": "Run nightly health checks",
"schedule_type": "cron",
"cron_expr": "0 2 * * *",
"at_time": "",
"target_mode": "auto",
"model": "",
"initial_message": "Run the nightly health check suite.",
"auto_approve": false,
"auto_approve_tools": [],
"enabled": true,
"created_by": "u_admin",
"last_run": "2026-03-05T02:00:00Z",
"next_run": "2026-03-06T02:00:00Z",
"created": "2026-03-01T12:00:00Z",
"updated": "2026-03-05T02:00:01Z"
}
]
}
```
#### `POST /v1/api/admin/schedules`
Create a scheduled task.
Request:
```json
{
"name": "nightly-checks",
"description": "Run nightly health checks",
"schedule_type": "cron",
"cron_expr": "0 2 * * *",
"target_mode": "auto",
"initial_message": "Run the nightly health check suite.",
"auto_approve": false,
"enabled": true
}
```
Required fields: `name`, `schedule_type`, `initial_message`. For `cron` schedules provide `cron_expr`; for `at` schedules provide `at_time` (ISO 8601 with timezone, must be in the future).
Response: `ScheduleInfo` (same shape as list items above). Returns `400` for invalid cron syntax, naive timestamps, or past `at_time`. Returns `409` if the 200-schedule cap is reached.
#### `GET /v1/api/admin/schedules/{task_id}`
Get a single scheduled task. Returns `ScheduleInfo` or `404`.
#### `PUT /v1/api/admin/schedules/{task_id}`
Partial update — only include fields to change. If `schedule_type`, `cron_expr`, or `at_time` change, `next_run` is recomputed automatically.
```json
{
"enabled": false
}
```
Response: updated `ScheduleInfo`. Returns `400` for validation errors, `404` if not found.
#### `DELETE /v1/api/admin/schedules/{task_id}`
Delete a scheduled task and all its run history. Returns `{"status": "ok"}` or `404`.
#### `GET /v1/api/admin/schedules/{task_id}/runs?limit=50`
List execution history for a task (most recent first). `limit` defaults to 50, max 200.
```json
{
"runs": [
{
"run_id": "r_abc123",
"task_id": "a1b2c3d4",
"node_id": "db-west-04",
"ws_id": "ws_xyz",
"correlation_id": "corr_789",
"started": "2026-03-05T02:00:00Z",
"status": "dispatched",
"error": ""
}
]
}
```
Status is `dispatched` on success or `failed` with an `error` message (e.g. no reachable nodes). Failed runs do not advance `next_run`.
---
-3
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d5a2bd1c55ac8cf3b777a8decb6f3bb3d063c10c8f3a9e63457079830e48f456
size 162310
-3
View File
@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:09cee5819bb7820641a466ed29a53f1b479bc2ded83079fc798c7410bf741a62
size 329703
+4 -2
View File
@@ -40,7 +40,8 @@ package "turnstone/core/" <<Rectangle>> {
component [auth.py\nAuthentication] as auth <<core>>
component [healthcheck.py\nBackendHealthMonitor] as healthcheck <<core>>
component [ratelimit.py\nRateLimiter] as ratelimit <<core>>
component [mcp_client.py\nMCPClientManager] as mcp <<core>>
component [mcp_client.py\nMCPClientManager\n(push + periodic refresh)] as mcp <<core>>
component [tool_search.py\nToolSearchManager, BM25] as toolsearch <<core>>
component [model_registry.py\nModelRegistry] as registry <<core>>
}
@@ -95,7 +96,7 @@ package "turnstone/sdk/" <<Rectangle>> {
' Tool schemas
package "turnstone/tools/" <<Rectangle>> {
component [*.json\n14 tool schemas] as schemas <<artifact>>
component [*.json\n18 tool schemas] as schemas <<artifact>>
}
' Entry point dependencies
@@ -136,6 +137,7 @@ session --> edit
session --> web
session --> healthcheck
session --> mcp : optional
session --> toolsearch : optional
session --> registry : optional
registry --> providers
healthcheck --> metrics
-3
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b3f76042c8046560502fa3132351821d56e8526b13d38d7be8b839fcf3d5f648
size 373463
+49 -3
View File
@@ -41,7 +41,7 @@ class "WorkstreamTerminalUI" as WsTermUI {
}
class "WebUI" as WebUI {
- _event_queue: Queue
- _listeners: list[Queue]
- _approval_event: Event
- _plan_event: Event
- _ws_prompt_tokens: int
@@ -108,6 +108,8 @@ class "ModelCapabilities" as ModelCaps <<frozen>> {
+ thinking_mode: str
+ supports_effort: bool
+ supports_web_search: bool
+ supports_tool_search: bool
+ supports_vision: bool
}
' ChatSession
@@ -118,8 +120,9 @@ class "ChatSession" as ChatSession {
- ui: SessionUI
- messages: list[dict]
- _msg_tokens: list[int]
- _session_id: str
- _ws_id: str
- _mcp_client: MCPClientManager | None
- _tool_search: ToolSearchManager | None
- _registry: ModelRegistry | None
+ model_alias: str | None {property}
- _tools: list[dict]
@@ -130,7 +133,7 @@ class "ChatSession" as ChatSession {
--
+ send(user_input: str)
+ handle_command(command: str)
+ resume_session(session_id: str)
+ resume(ws_id: str)
- _save_config()
- _stream_response(stream) → dict
- _create_stream_with_retry(msgs) → Stream (+ fallback)
@@ -139,6 +142,12 @@ class "ChatSession" as ChatSession {
- _prepare_tool(tc) → item dict
- _prepare_mcp_tool(call_id, name, args) → item dict
- _exec_mcp_tool(item) → (call_id, output)
- _get_active_tools() → list[dict]
- _prepare_tool_search() → None
- _exec_tool_search(item) → (call_id, output)
- _on_mcp_tools_changed()
- _rebuild_tool_search()
+ close()
- _run_agent(messages, tools, ...) → str
- _compact_messages(auto: bool)
- _full_messages() → list[dict]
@@ -201,22 +210,58 @@ enum "WorkstreamState" as WsState {
' MCPClientManager
class "MCPClientManager" as MCPMgr {
- _sessions: dict[str, ClientSession]
- _per_server_tools: dict[str, list[dict]]
- _per_server_resources: dict[str, list[dict]]
- _per_server_prompts: dict[str, list[dict]]
- _tools: list[dict]
- _tool_map: dict[str, tuple]
- _resource_map: dict[str, tuple]
- _prompt_map: dict[str, tuple]
- _supports_list_changed: dict[str, bool]
- _listeners: list[Callable]
--
+ start()
+ get_tools() → list[dict]
+ get_resources() → list[dict]
+ get_prompts() → list[dict]
+ is_mcp_tool(name) → bool
+ call_tool_sync(name, args) → str
+ read_resource_sync(uri) → str
+ get_prompt_sync(name, args?) → list[dict]
+ refresh_sync(server?) → dict
+ add_listener(callback)
+ remove_listener(callback)
+ server_names: list[str] {property}
+ shutdown()
--
Background asyncio event loop
bridges async MCP SDK to
sync ChatSession dispatch.
Push + periodic + manual refresh.
Resources + prompts discovered
alongside tools at startup.
--
core/mcp_client.py
}
' ToolSearchManager
class "ToolSearchManager" as ToolSearchMgr {
- _all_tools: list[dict]
- _always_on: list[dict]
- _deferred: list[dict]
- _expanded: dict[str, None]
- _index: BM25Index
--
+ should_activate() → bool
+ get_visible_tools() → list[dict]
+ get_deferred_tools() → list[dict]
+ get_expanded_names() → list[str]
+ search(query, k) → list[dict]
+ expand_visible(names) → list[dict]
+ get_search_tool_definition() → dict
+ format_search_results(tools) → str
}
' ModelRegistry
class "ModelRegistry" as ModelReg {
- _models: dict[str, ModelConfig]
@@ -317,6 +362,7 @@ LLMProvider <|.. AnthropicProv
ChatSession --> SessionUI : uses
ChatSession --> LLMProvider : delegates LLM calls
ChatSession --> MCPMgr : optional
ChatSession --o ToolSearchMgr : _tool_search
ChatSession --> ModelReg : optional
ChatSession <|-- HeadlessSession
-3
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fca0957b54101ce5c2b2e06d639b04dc5fff733f2641af0d732c49ea86883882
size 279397
+20 -6
View File
@@ -18,7 +18,7 @@ User -> CS : send(user_input)
activate CS
CS -> CS : messages.append({role: "user", content: input})
CS -> DB : save_message(session_id, "user", input)
CS -> DB : save_message(ws_id, "user", input)
== LLM Call Loop ==
@@ -57,6 +57,14 @@ group loop [while tool_calls present]
end
end
note right of CS
**Cancellation checkpoint:**
_check_cancelled() runs per chunk.
If cancel_event is set, raises
GenerationCancelled — preserves
partial content, emits idle state.
end note
LLM --> CS : stream complete (usage stats)
deactivate LLM
@@ -65,8 +73,8 @@ group loop [while tool_calls present]
CS -> CS : _update_token_table()\ncalibrate chars_per_token ratio
CS -> CS : messages.append(assistant_msg)
CS -> DB : save_message(session_id, "assistant", content)
CS -> DB : save_message(session_id, "tool_call", ...) ×N
CS -> DB : save_message(ws_id, "assistant", content)
CS -> DB : save_message(ws_id, "tool_call", ...) ×N
== Tool Dispatch (if tool_calls) ==
@@ -112,14 +120,14 @@ group loop [while tool_calls present]
note right of TP
Parallel execution:
bash → Popen + line-by-line streaming
read_file → open().read()
read_file → open().read() or base64 image
search → grep subprocess
edit_file → string replace
task/plan → _run_agent() sub-loop
math → sandboxed subprocess
web_fetch → httpx + LLM summarize
web_search → provider-native or Tavily fallback
remember/recall/forget → SQLite
memory/recall → SQLite
end note
note right of TP
@@ -136,7 +144,7 @@ group loop [while tool_calls present]
loop for each result
CS -> CS : messages.append({role: "tool", ...})
CS -> DB : save_message(session_id, "tool_result", ...)
CS -> DB : save_message(ws_id, "tool_result", ...)
end
opt user_feedback from approval
@@ -144,6 +152,12 @@ group loop [while tool_calls present]
end
note right of CS : Loop back for next LLM call
else GenerationCancelled
CS -> CS : Preserve partial content\nor roll back incomplete tools
CS -> UI : on_info("[Generation cancelled]")
CS -> UI : on_state_change("idle")
CS --> User : return (no re-raise)
end
end
-3
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:06fb9faa29c11395c6fc54ebddc79994b000dee78d56e0c13cb689fd6a82e37a
size 237255
+33 -25
View File
@@ -24,27 +24,30 @@ partition "Phase 1: Prepare" #E8F5E9 {
:Dispatch to _prepare_{func_name}();
note right
**Dispatch table (14 tools):**
┌─────────────┬──────────────────┐
│ Tool │ Needs Approval? │
├─────────────┼──────────────────┤
│ bash │ ✓ Yes │
│ read_file │ ✗ Auto-approve │
│ write_file │ ✓ Yes │
│ edit_file │ ✓ Yes │
│ search │ ✗ Auto-approve │
│ math │ ✓ Yes
│ man │ ✗ Auto-approve │
│ web_fetch │ ✓ Yes
│ web_search │ ✓ Yes
│ task │ ✓ Yes
plan │ ✓ Yes │
remember │ ✗ Auto-approve
recall │ ✗ Auto-approve │
forget │ ✗ Auto-approve │
├─────────────┼──────────────────┤
mcp__* │ ✓ Yes (external)
└─────────────┴──────────────────┘
**Dispatch table (17 tools):**
┌───────────────┬──────────────────┐
│ Tool │ Needs Approval? │
├───────────────┼──────────────────┤
│ bash │ ✓ Yes │
│ read_file │ ✗ Auto-approve │
│ write_file │ ✓ Yes │
│ edit_file │ ✓ Yes │
│ search │ ✗ Auto-approve │
│ math │ ✗ Auto-approve
│ man │ ✗ Auto-approve │
│ web_fetch │ ✗ Auto-approve
│ web_search │ ✗ Auto-approve
│ tool_search │ ✗ Auto-approve
task │ ✓ Yes │
plan │ ✓ Yes
memory │ ✗ Auto-approve │
recall │ ✗ Auto-approve │
│ notify │ ✗ Auto-approve │
read_resource │ ✓ Yes
│ use_prompt │ ✓ Yes │
├───────────────┼──────────────────┤
│ mcp__* │ ✓ Yes (external) │
└───────────────┴──────────────────┘
end note
:Build item dict:
@@ -86,6 +89,8 @@ partition "Phase 2: Approve" #FFF3E0 {
}
partition "Phase 3: Execute" #E3F2FD {
:_check_cancelled();
note right: Cancellation checkpoint:\nraises GenerationCancelled if\ncancel event is set
if (single tool call?) then (yes)
:Execute sequentially:\nrun_one(items[0]);
else (multiple)
@@ -98,7 +103,7 @@ partition "Phase 3: Execute" #E3F2FD {
if item.denied → return denial message
else → item["execute"](item)
├─ _exec_bash: subprocess.run(["bash", script.sh])
├─ _exec_read_file: open().readlines()
├─ _exec_read_file: open().readlines() or _exec_read_image (base64)
├─ _exec_write_file: makedirs + write
├─ _exec_edit_file: find_occurrences + replace
├─ _exec_search: grep subprocess
@@ -106,11 +111,14 @@ partition "Phase 3: Execute" #E3F2FD {
├─ _exec_man: man/info subprocess
├─ _exec_web_fetch: httpx.get + LLM summary
├─ _exec_web_search: Tavily API POST (fallback for local models)
├─ _exec_tool_search: BM25 search + expand_visible()
├─ _exec_task: _run_agent(TASK_AGENT_TOOLS)
├─ _exec_plan: _run_agent(AGENT_TOOLS, read-only)
├─ _exec_remember: SQLite INSERT OR REPLACE
├─ _exec_recall: SQLite FTS5/LIKE search
├─ _exec_forget: SQLite DELETE
├─ _exec_notify: HTTP POST to channel gateway
├─ _exec_memory: structured memory save/search/delete/list
├─ _exec_recall: conversation history FTS5 search
├─ _exec_read_resource: MCPClientManager.read_resource_sync()
├─ _exec_use_prompt: MCPClientManager.get_prompt_sync()
└─ _exec_mcp_tool: MCPClientManager.call_tool_sync()
end note
-3
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@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:13b2da77312e5abb44c81aabb7f0addccab31d9bc7e8ef2f1c3563ef985ed503
size 186941
+9
View File
@@ -59,6 +59,8 @@ package "Inbound Messages (Client → Bridge)" #FFF3E0 {
+ auto_approve_tools: list[str] = []
+ target_node: str = ""
+ initial_message: str = ""
+ template: str = ""
+ ws_template: str = ""
}
class CloseWorkstreamMessage {
@@ -79,6 +81,12 @@ package "Inbound Messages (Client → Bridge)" #FFF3E0 {
type = "list_nodes"
}
class CancelMessage {
type = "cancel"
--
+ ws_id: str
}
IM <|-- SendMessage
IM <|-- ApproveMessage
IM <|-- PlanFeedbackMessage
@@ -88,6 +96,7 @@ package "Inbound Messages (Client → Bridge)" #FFF3E0 {
IM <|-- ListWorkstreamsMessage
IM <|-- HealthMessage
IM <|-- ListNodesMessage
IM <|-- CancelMessage
}
package "Outbound Events (Bridge → Client)" #E3F2FD {
+1 -1
View File
@@ -79,7 +79,7 @@ note right of BridgeA
1. _ws_auto_approve[ws_id]? → auto
2. All tools in safe set? → auto
(read_file, search, man,
remember, recall, forget)
memory, recall)
3. Otherwise → manual approval
end note
+6
View File
@@ -40,6 +40,12 @@ running --> error : Exception during\ntool execution
error --> thinking : New send() call\n_emit_state("thinking")
thinking --> idle : cancel() called\n_emit_state("idle")
running --> idle : cancel() called\n_emit_state("idle")
attention --> idle : cancel() unblocks\napproval/plan wait\n_emit_state("idle")
note right of thinking
**Emitted via:**
session._emit_state(state)
+25 -1
View File
@@ -78,7 +78,19 @@ activate NodeA
NodeA --> CC : {status:"ok", version:"0.3.0",\nmodel:"...", workstreams:{...}}
deactivate NodeA
CC -> CC : Diff old vs new workstream IDs
CC -> CC : Replace NodeSnapshot["nodeA"]\n.workstreams, .health, .aggregate
CC -> CC : _fanout(ws_created) for\nnewly appeared workstreams
CC -> CC : _fanout(ws_closed) for\nremoved workstreams
note right of CC
Poll-diff fanout ensures
browser SSE clients learn
about workstreams that
appeared without a real-time
cluster event (e.g. bridge
startup recovery).
end note
CC -x NodeB : (SKIPPED: sim:// URL)
@@ -89,10 +101,15 @@ deactivate CC
Browser -> Server : GET /v1/api/cluster/events
activate Server
Server -> CC : get_snapshot()
CC --> Server : ClusterSnapshot\n(full current state)
Server -> CC : register_listener(queue)
note right : Per-client queue.Queue(maxsize=500)\nSSE via EventSourceResponse + run_in_executor()
loop continuous
Server -> Browser : data: {"type":"snapshot",...}\n(full state as first SSE event)
loop continuous (incremental updates)
CC -> Server : event via listener queue\n(from any of the 3 threads)
Server -> Browser : data: {"type":"cluster_state",...}\n\n
end
@@ -105,6 +122,13 @@ Browser -> Server : connection closed
Server -> CC : unregister_listener(queue)
deactivate Server
== Browser REST: Snapshot ==
Browser -> Server : GET /v1/api/cluster/snapshot
Server -> CC : get_snapshot()
CC --> Server : ClusterSnapshot\n(full current state)
Server --> Browser : JSON response
== Browser REST Requests ==
Browser -> Server : GET /v1/api/cluster/overview
+4 -1
View File
@@ -32,10 +32,11 @@ package "turnstone/sdk/ (Python)" {
+ approve()
+ plan_feedback()
+ command()
+ cancel(ws_id)
+ stream_events(ws_id)
+ stream_global_events()
+ send_and_wait()
+ list_sessions()
+ list_saved_workstreams()
+ login() / logout()
+ health()
}
@@ -45,6 +46,7 @@ package "turnstone/sdk/ (Python)" {
+ nodes()
+ workstreams()
+ node_detail()
+ snapshot()
+ create_workstream()
+ stream_cluster_events()
+ login() / logout()
@@ -129,6 +131,7 @@ package "sdk/typescript/ (TypeScript)" {
class "TurnstoneConsole" as TSConsole <<ts>> {
+ overview()
+ nodes()
+ snapshot()
+ clusterEvents()
...
}
+32 -17
View File
@@ -13,18 +13,19 @@ skinparam class {
' -- Protocol --
interface "StorageBackend" as SB <<protocol>> {
+register_session(session_id, title)
+save_message(session_id, role, content, ...)
+load_session_messages(session_id) → list[dict]
+list_sessions(limit) → list
+delete_session(session_id) → bool
+prune_sessions(retention_days) → (int, int)
+resolve_session(alias_or_id) → str | None
+save_session_config(session_id, config)
+load_session_config(session_id) → dict
+set_session_alias(session_id, alias) → bool
+get_session_name(session_id) → str | None
+update_session_title(session_id, title)
+save_message(ws_id, role, content, ...)
+load_messages(ws_id) → list[dict]
+register_workstream(ws_id, node_id, name, state)
+update_workstream_state(ws_id, state)
+update_workstream_name(ws_id, name)
+set_workstream_alias(ws_id, alias) → bool
+update_workstream_title(ws_id, title)
+resolve_workstream(alias_or_id) → str | None
+delete_workstream(ws_id) → bool
+prune_workstreams(retention_days) → (int, int)
+list_workstreams(node_id, limit) → list
+save_workstream_config(ws_id, config)
+load_workstream_config(ws_id) → dict
+kv_get(key) → str | None
+kv_set(key, value) → str | None
+kv_delete(key) → bool
@@ -32,6 +33,11 @@ interface "StorageBackend" as SB <<protocol>> {
+kv_search(query) → list[(str, str)]
+search_history(query, limit) → list
+search_history_recent(limit) → list
+create_user(user_id, username, display_name, pw_hash)
+get_user(user_id) / get_user_by_username(username)
+list_users() / delete_user(user_id)
+create_api_token(...) / get_api_token_by_hash(hash)
+list_api_tokens(user_id) / delete_api_token(id)
+close()
}
@@ -58,8 +64,14 @@ class "_schema.py" as Schema <<schema>> {
+metadata: MetaData
+memories: Table
+conversations: Table
+sessions: Table
+session_config: Table
+workstreams: Table (node_id, alias, title,\n state, ws_template_id, ws_template_version)
+workstream_config: Table
+users: Table (username, password_hash)
+api_tokens: Table (token_hash, scopes)
+channel_users: Table (channel_type)
+workstream_templates: Table (name, model,\n system_prompt, token_budget, version)
+workstream_template_versions: Table\n (template_id, version, snapshot)
+scheduled_tasks: Table (..., ws_template)
--
SQLAlchemy Core
Single source of truth
@@ -76,6 +88,7 @@ class "_migrate.py" as Migrate <<migration>> {
class "migrations/" as Versions <<migration>> {
001_initial_schema.py
002_user_identity.py
}
' -- Registry --
@@ -91,12 +104,14 @@ class "_registry.py" as Registry {
' -- Facade --
class "memory.py" as Facade <<facade>> {
+register_session()
+save_message()
+load_session_messages()
+load_messages()
+register_workstream()
+update_workstream_state()
+save_workstream_config()
+save_memory() / delete_memory()
+search_memories()
+... (all 18 functions)
+... (all delegated functions)
--
Thin delegation to
get_storage()
+179
View File
@@ -0,0 +1,179 @@
@startuml
!theme plain
title Turnstone — Authentication Architecture
skinparam class {
BackgroundColor<<core>> #E8EAF6
BackgroundColor<<jwt>> #C8E6C9
BackgroundColor<<storage>> #B3E5FC
BackgroundColor<<endpoint>> #FFE0B2
BackgroundColor<<scope>> #F3E5F5
}
' -- Core Auth --
class "AuthConfig" as AC <<core>> {
+enabled: bool
+tokens: dict[str, str]
+check(token) → role | None
--
Static config-file tokens
hmac.compare_digest
}
class "AuthResult" as AR <<core>> {
+user_id: str
+scopes: frozenset[str]
+token_source: str
+has_scope(scope) → bool
}
class "check_request()" as CR <<core>> {
auth_config, method, path,
auth_header, cookie_header,
jwt_secret, storage
→ (allowed, status, msg, AuthResult)
--
1. Auth disabled → allow
2. Public path → allow
3. Extract Bearer / cookie
4. Detect token type
5. Validate → AuthResult
6. Check scope vs path
}
' -- Token Types --
class "JWT (HS256)" as JWT <<jwt>> {
sub: user_id
scopes: "read,write,approve"
src: "password" | "database"
iat, exp (24h default)
--
Detected by: contains "."
Validated locally
No DB call
}
class "API Token" as AT <<jwt>> {
Format: ts_ + 64 hex
Stored: SHA-256 hash
--
Detected by: starts with "ts_"
Lookup by hash in DB
Expiry check
}
class "Config Token" as CT <<core>> {
Raw value in memory
Role: "read" | "full"
--
Detected by: fallback
hmac.compare_digest
No DB needed
}
' -- Scopes --
class "Scope Hierarchy" as SH <<scope>> {
read: {read}
write: {read, write}
approve: {read, write, approve}
--
GET → read
POST write paths → write
POST /api/approve → approve
/api/admin/* → approve
}
' -- Storage --
class "users" as UT <<storage>> {
user_id (PK)
username (unique)
display_name
password_hash (bcrypt)
created
}
class "api_tokens" as TT <<storage>> {
token_id (PK)
token_hash (SHA-256, unique)
token_prefix
user_id → users
name, scopes
created, expires
}
' -- Endpoints --
class "POST /api/auth/login" as Login <<endpoint>> {
{username, password}
OR {token: "ts_xxx"}
→ {jwt, role, scopes, user_id}
--
Sets HttpOnly cookie
}
class "GET /api/auth/status" as Status <<endpoint>> {
→ {auth_enabled, has_users,
setup_required}
--
Public (no auth)
Drives UI setup wizard
}
class "POST /api/auth/setup" as Setup <<endpoint>> {
{username, display_name, password}
→ {jwt, user_id, scopes}
--
Public (no auth)
Only when zero users exist
Returns 409 if already set up
}
class "Admin API (Console)" as Admin <<endpoint>> {
POST/GET/DELETE users
POST/GET tokens
DELETE tokens/{id}
--
Requires approve scope
}
' -- Relationships --
CR --> AC : config tokens
CR --> JWT : validate
CR --> AT : hash lookup
CR --> CT : hmac check
CR --> AR : returns
CR --> SH : checks
Login --> JWT : issues
Login --> UT : verify password
Login --> TT : verify API token
Setup --> UT : create first user
Setup --> JWT : issues
AT --> TT : lookup by hash
Admin --> UT : CRUD
Admin --> TT : CRUD
AR --> SH : scopes from
JWT ..> AR : produces
AT ..> AR : produces
CT ..> AR : produces
note right of CR
**Middleware Flow**
AuthMiddleware on every request:
1. Extract token from header/cookie
2. Detect type (JWT / ts_ / config)
3. Validate → AuthResult
4. Set ctx_user_id for logging
5. Store auth_result in scope state
end note
note bottom of SH
**Console** owns admin endpoints
**Server** validates JWT + config only
Both share JWT signing secret
end note
@enduml
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@startuml
!theme plain
title Turnstone — Channel Integration Architecture
skinparam class {
BackgroundColor<<platform>> #E1BEE7
BackgroundColor<<service>> #E8EAF6
BackgroundColor<<mq>> #FFCDD2
BackgroundColor<<bridge>> #C8E6C9
BackgroundColor<<server>> #FFE0B2
BackgroundColor<<storage>> #B3E5FC
}
' -- External Platforms --
class "Discord" as Discord <<platform>> {
Gateway WebSocket (v10)
Message events
Interaction callbacks (buttons)
Thread-per-workstream
--
discord.py 2.x
asyncio event loop
}
class "Slack (future)" as Slack <<platform>> {
Socket Mode / Events API
Block Kit messages
--
Planned integration
}
class "Teams (future)" as Teams <<platform>> {
Bot Framework
Adaptive Cards
--
Planned integration
}
' -- Channel Service --
class "turnstone-channel" as ChannelService <<service>> {
entry point: turnstone-channel
--
One process per platform
asyncio event loop
Structured logging (structlog)
--log-level, --log-format
--
POST /v1/api/notify (HTTP)
GET /health
}
class "DiscordBot" as Bot <<service>> {
+on_message(msg)
+on_interaction(interaction)
+send(channel_id, content)
+run(token)
--
discord.py Client
Receives message events
Sends replies + embeds
Creates threads for workstreams
Renders approval buttons
escape_mentions() on send
}
class "ChannelRouter" as Router <<service>> {
+resolve_route(platform, channel_id)
→ ws_id | None
+register_route(channel_id, ws_id)
+resolve_identity(platform, platform_user_id)
→ user_id | None
--
Maps channels → workstreams
Maps platform users → turnstone users
Caches routes in memory
}
class "AsyncRedisBroker" as Broker <<service>> {
+push_inbound(msg)
+subscribe(ws_id) → AsyncIterator
+subscribe_global() → AsyncIterator
+push_response(correlation_id, msg)
--
redis.asyncio client
Pub/sub + queue operations
}
' -- Redis MQ --
class "Redis MQ" as Redis <<mq>> {
turnstone:inbound (LIST)
turnstone:events:{ws_id} (PUBSUB)
turnstone:events:global (PUBSUB)
turnstone:resp:{corr_id} (LIST)
--
Shared message bus
Same queues as bridge protocol
}
' -- Bridge + Server --
class "turnstone-bridge" as Bridge <<bridge>> {
BLPOP turnstone:inbound
Drive server via HTTP
Relay SSE → Redis pub/sub
--
Owns workstream lifecycle
Auto-approve / manual approve
}
class "turnstone-server" as Server <<server>> {
POST /v1/api/send
POST /v1/api/approve
POST /v1/api/workstreams/new
GET /v1/api/events?ws_id=
--
LLM execution + tool use
SSE event stream
--
notify tool: _exec_notify()
ServiceTokenManager (JWT)
}
' -- Storage --
class "channel_users" as CU <<storage>> {
channel_user_id (PK)
platform: "discord" | "slack"
platform_user_id
user_id → users
linked_at
--
/link command creates row
Resolved on each inbound message
}
class "channel_routes" as CR <<storage>> {
channel_type (PK)
channel_id (PK)
ws_id
node_id
created
--
Maps platform channels
to turnstone workstreams
}
class "services" as SVC <<storage>> {
service_type (PK)
service_id (PK)
url
last_heartbeat
created
--
Heartbeat every 30s
Stale after 120s
ON CONFLICT DO UPDATE
}
' -- Relationships --
Discord --> Bot : gateway\nevents
Bot --> Router : on_message\non_interaction
Router --> Broker : SendMessage\nApproveMessage
Router --> CU : resolve identity
Router --> CR : resolve / register route
Broker --> Redis : RPUSH inbound\nRPUSH resp:{id}
Redis --> Bridge : BLPOP inbound
Bridge --> Server : HTTP API
Server --> Bridge : SSE events
Bridge --> Redis : PUBLISH events:{ws_id}\nPUBLISH events:global
Redis --> Broker : SUBSCRIBE events:{ws_id}
Broker --> Bot : event stream
Bot --> Discord : reply / embed\nbutton callback
Slack .[hidden]. Discord
Teams .[hidden]. Slack
ChannelService --> Bot : creates + runs
ChannelService --> Router : creates
ChannelService --> Broker : creates
ChannelService --> SVC : register / heartbeat /\nderegister
' -- Notification path (direct HTTP, bypasses MQ) --
Server --> ChannelService : POST /v1/api/notify\n(JWT: aud=turnstone-channel)
Server --> SVC : list_services("channel",\nmax_age_seconds=120)
' -- Notes --
note right of Bot
**Inbound Flow**
1. Discord message arrives via gateway
2. Bot.on_message() fires
3. ChannelRouter resolves channel → ws_id
(or creates new workstream)
4. ChannelRouter resolves platform user → user_id
via channel_users table
5. Broker.push_inbound(SendMessage)
6. Bridge pops from Redis, drives server
**Workstream Resume (evicted workstreams)**
1. Stale route detected (no MQ owner)
2. Existing ws_id reused directly from route
3. CreateWorkstreamMessage sent with
resume_ws=<ws_id>
4. Server resumes atomically during creation
5. Bridge emits WorkstreamResumedEvent → thread
end note
note right of Broker
**Outbound Flow**
1. Server emits SSE events
2. Bridge relays to Redis events:{ws_id}
3. Broker.subscribe(ws_id) yields events
4. Bot formats and sends to Discord thread
end note
note bottom of CR
**Approval Flow**
1. ApprovalRequestEvent arrives via events:{ws_id}
2. Bot renders Discord buttons (Approve / Deny)
3. User clicks button → on_interaction()
4. Router builds ApproveMessage
5. Broker.push_response(correlation_id, msg)
6. Bridge pops from resp:{id}, calls POST /api/approve
end note
note bottom of CU
**Identity Linking**
1. User runs /link in Discord
2. Bot opens modal requesting API token
3. User submits ts_... API token
4. Bot validates token against storage
5. On success, inserts channel_users row
6. Subsequent messages carry user_id
7. AuthResult scopes applied by server
end note
note bottom of SVC
**Notification Flow** (direct HTTP, bypasses MQ)
1. LLM calls notify tool → _prepare_notify()
2. _exec_notify() checks rate limit (5/turn)
3. Queries services table for healthy gateways
4. Mints JWT (aud: turnstone-channel) via
ServiceTokenManager
5. POSTs to first healthy gateway
6. Gateway validates JWT, resolves target
7. adapter.send() → Discord API
8. On failure: retry up to 3× (1s, 3s backoff)
9. SSRF: only http(s) URLs allowed
end note
@enduml
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@startuml
!theme plain
title Turnstone — Notification Delivery Flow
skinparam participant {
BackgroundColor<<server>> #FFE0B2
BackgroundColor<<storage>> #B3E5FC
BackgroundColor<<service>> #E8EAF6
BackgroundColor<<platform>> #E1BEE7
}
participant "ChatSession\n(turnstone-server)" as Session <<server>>
participant "StorageBackend" as Storage <<storage>>
participant "ServiceTokenManager" as STM <<server>>
participant "Channel Gateway\n(_http.py)" as Gateway <<service>>
participant "ChannelAdapter\n(Discord bot)" as Adapter <<service>>
participant "Discord API" as Discord <<platform>>
== Prepare Phase ==
Session -> Session : _prepare_notify(call_id, args)
note right
Validates:
- message (required, ≤2000 chars)
- target: username OR channel_type+channel_id
- no ambiguous targeting (both set)
- partial targeting errors
end note
== Execute Phase ==
Session -> Session : _exec_notify(item)
Session -> Session : check rate limit\n(≥5 per turn?)
alt rate limit exceeded
Session --> Session : "Error: rate limit exceeded"
end
loop up to 3 attempts (retry delays: 1s, 3s)
Session -> Storage : list_services("channel",\nmax_age_seconds=120)
Storage --> Session : services[] (sorted by\nlast_heartbeat DESC)
alt no healthy services
Session -> Session : log.warning("notify.no_services")
Session -> Session : sleep(delay)
else services available
Session -> STM : bearer_header
note right
Lazy-init ServiceTokenManager
aud: turnstone-channel
scope: write
Auto-rotates 1h JWTs
end note
STM --> Session : Authorization: Bearer <jwt>
loop for each gateway (first-healthy)
Session -> Session : SSRF check:\nurl.startswith("http://"|"https://")
Session -> Gateway : POST /v1/api/notify\n+ Authorization header
Gateway -> Gateway : _check_auth()\nvalidate JWT (aud=turnstone-channel)\nor static token
alt auth failed
Gateway --> Session : 401 Unauthorized
else auth ok
alt username target
Gateway -> Storage : get_user_by_username()
Storage --> Gateway : user
Gateway -> Storage : list_channel_users_by_user()
Storage --> Gateway : linked channels
else direct target
Gateway -> Gateway : use channel_type + channel_id
end
Gateway -> Adapter : send(channel_id, content)
note right
escape_mentions() applied
Chunked for 2000-char limit
end note
Adapter -> Discord : POST message
Discord --> Adapter : message_id
Adapter --> Gateway : message_id
Gateway --> Session : 200 {results: [{status: "sent"}]}
Session -> Session : _notify_count += 1
Session --> Session : "Notification sent successfully"
note right : Return — no further\ngateways tried
end
end
alt all gateways failed
Session -> Session : log.warning(\n"notify.all_gateways_failed")
Session -> Session : sleep(delay)
end
end
end
alt all retries exhausted
Session -> Session : log.warning("notify.delivery_failed")
Session --> Session : "Error: notification delivery failed"
end
== Service Registry (Background) ==
note over Gateway, Storage
**Heartbeat Lifecycle**
1. Gateway startup: register_service("channel", id, url)
2. Every 30s: heartbeat_service("channel", id)
3. Shutdown: deregister_service("channel", id)
4. Stale after 120s (4 missed heartbeats)
end note
@enduml
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@startuml
!theme plain
title Turnstone — Watch Tool Architecture
skinparam participant {
BackgroundColor<<server>> #FFE0B2
BackgroundColor<<storage>> #B3E5FC
BackgroundColor<<session>> #C8E6C9
BackgroundColor<<ui>> #E8EAF6
}
participant "ChatSession\n(session.py)" as Session <<session>>
participant "WatchRunner\n(watch.py)" as Runner <<server>>
participant "StorageBackend\n(SQLite)" as Storage <<storage>>
participant "WebUI / SSE\n(server.py)" as UI <<ui>>
== Create Phase ==
Session -> Session : _prepare_watch(action="create")
note right
Validates:
- command via is_command_blocked()
- poll_every → parse_duration()
- stop_on → validate_condition()
- max watches limit (5)
- duplicate name check
needs_approval = True
end note
Session -> Storage : create_watch(watch_id, ws_id,\nnode_id, command, interval,\nstop_on, max_polls, next_poll)
Session --> UI : tool_result:\n"Watch 'pr-review' created"
== Poll Phase (WatchRunner daemon, every 15s) ==
Runner -> Storage : list_due_watches(now)
Storage --> Runner : due_watches[]
note right
Filters:
active=1 AND
next_poll <= now AND
node_id matches
end note
loop for each due watch
Runner -> Runner : is_command_blocked()?
alt blocked
Runner -> Storage : update_watch(active=False)
else safe
Runner -> Runner : subprocess.run(command)
note right
timeout = tool_timeout
start_new_session = True
output truncated at 64KB
end note
Runner -> Runner : evaluate_condition(\nstop_on, output,\nexit_code, prev_output)
note right
**Variables:**
output, data, exit_code,
prev_output, changed
**Safe builtins only:**
len, str, int, sorted, ...
No import/open/exec/eval
**stop_on=None:**
fires on change (skip 1st poll)
end note
alt condition fired OR max_polls reached
Runner -> Storage : update_watch(\npoll_count++,\nlast_output, active=False)
Runner -> Runner : format_watch_message()
Runner -> Runner : _dispatch_result(ws_id, msg)
else not fired
Runner -> Storage : update_watch(\npoll_count++,\nlast_output, next_poll)
end
end
end
== Dispatch Phase ==
note over Runner, Session
**Three dispatch paths:**
end note
alt Path A: workstream active + idle
Runner -> Session : dispatch_fn(message)\n→ _watch_pending.put()
Session -> Session : _dispatch_pending_watch()\n→ self.send(message)
Session -> UI : SSE: thinking, content,\ntool calls...
note right
Watch result appears as
synthetic user message.
Model sees it and responds.
Depth guard: max 5 chains.
end note
else Path B: workstream active + busy
Runner -> Session : dispatch_fn(message)\n→ _watch_pending.put()
note right
Queued. Dispatched when
current send() reaches IDLE.
end note
else Path C: workstream evicted
Runner -> Runner : restore_fn(ws_id)
note right
1. mgr.create() — may evict
another idle workstream
2. session.resume(ws_id)
3. set_watch_runner()
4. register new dispatch_fn
end note
Runner -> Session : restored dispatch_fn(message)
end
== Cancel / List ==
Session -> Storage : list_watches_for_ws(ws_id)
note right : action="list" (auto-approve)
Session -> Storage : update_watch(active=False)
note right : action="cancel" (auto-approve)
== Server Lifecycle ==
note over Runner, Storage
**Startup:**
1. WatchRunner created in main() with storage + node_id
2. restore_fn closure captures WorkstreamManager
3. Initial workstream: session.set_watch_runner(runner)
4. _lifespan(): runner.start() — daemon thread begins
**New workstream:**
session.set_watch_runner(runner) in create_workstream()
→ registers dispatch_fn for ws_id
**Eviction / close:**
session.close() → runner.remove_dispatch_fn(ws_id)
Watches remain active in DB — WatchRunner uses restore_fn
**Restart recovery:**
Overdue watches fire ONE immediate poll
next_poll updated to now + interval
Normal cadence resumes
**Shutdown:**
_lifespan(): runner.stop() — joins thread
end note
== REST API ==
note over UI, Storage
**GET /v1/api/watches[?ws_id=X]**
List active watches (for node or workstream)
**POST /v1/api/watches/{watch_id}/cancel**
Cancel a watch (sets active=False)
Both require write scope
end note
@enduml
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@startuml
!theme plain
skinparam backgroundColor #FFFFFF
skinparam defaultFontName "IBM Plex Mono"
skinparam componentStyle rectangle
title Turnstone Governance Architecture
package "Auth Flow" {
[Login/Token Auth] as auth
[_load_user_permissions()] as perms
[_permissions_to_scopes()] as scopes
[create_jwt()] as jwt
}
package "Middleware" {
[AuthMiddleware\n(scope check)] as mw
[require_permission()\n(granular check)] as rp
}
package "Governance Storage" {
database "roles" as roles_db
database "user_roles" as ur_db
database "orgs" as orgs_db
database "tool_policies" as tp_db
database "prompt_templates" as pt_db
database "usage_events" as ue_db
database "audit_events" as ae_db
database "workstream_templates" as wt_db
database "workstream_template_versions" as wtv_db
}
package "Runtime Enforcement" {
[evaluate_tool_policies_batch()] as eval
[WebUI.approve_tools()] as approve
[record_usage_event()] as usage
[record_audit()] as audit
}
package "Template Runtime" {
[_load_templates()] as tload
[_render_template()\n{{model}}, {{ws_id}}, {{node_id}}] as trender
[_init_system_messages()] as tsys
[set_template() / /template] as tset
}
package "WS Template Runtime" {
[resolve_ws_template()] as wtr
[apply settings\n(model, budget, prompt)] as wta
[drift detection\n(prompt_template_hash)] as wtd
[budget gate\n(session.send)] as wtb
}
package "Console UI" {
[Admin Panel\n10 tabs] as ui
[governance.js] as govjs
[sessionStorage\npermissions] as ss
}
auth --> perms : user_id
perms --> roles_db : JOIN user_roles + roles
perms --> scopes : permission set
scopes --> jwt : scopes + permissions
jwt --> mw : JWT in cookie/header
mw --> rp : scope OK → check permission
rp --> ui : 403 or allow
eval --> tp_db : list_tool_policies()
approve --> eval : tool names
approve --> ae_db : (via audit)
usage --> ue_db : on_status()
audit --> ae_db : admin handlers
govjs --> roles_db : /v1/api/admin/roles
govjs --> tp_db : /v1/api/admin/policies
govjs --> pt_db : /v1/api/admin/templates
govjs --> ue_db : /v1/api/admin/usage
govjs --> ae_db : /v1/api/admin/audit
tload --> pt_db : list_default_templates()\nor get_by_name()
tload --> trender : template content
trender --> tsys : rendered content
tset --> tload : name or None
govjs --> wt_db : /v1/api/admin/ws-templates
wtr --> wt_db : get_ws_template_by_name()
wtr --> wta : template settings
wta --> pt_db : prompt_template lookup
wtd --> wt_db : compare hash
wtb --> approve : __budget_override__
wtv_db <.. wt_db : version snapshots
auth -[hidden]-> mw
mw -[hidden]-> approve
@enduml
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@startuml
!theme plain
title Turnstone — MCP Architecture (Resources, Prompts, Tools)
skinparam participant {
BackgroundColor<<mcp>> #E1BEE7
BackgroundColor<<session>> #C8E6C9
BackgroundColor<<storage>> #B3E5FC
BackgroundColor<<server>> #FFE0B2
BackgroundColor<<ui>> #E8EAF6
}
participant "MCP Server\n(external)" as MCPSrv <<mcp>>
participant "MCPClientManager\n(mcp_client.py)" as MCPMgr <<mcp>>
participant "ChatSession\n(session.py)" as Session <<session>>
participant "StorageBackend\n(governance)" as Storage <<storage>>
participant "Server / Console\n(health + UI)" as UI <<server>>
participant "Console Admin UI\n(admin panel)" as Admin <<ui>>
participant "Database\n(mcp_servers table)" as DB <<storage>>
== Admin-Driven Configuration ==
Admin -> DB : CRUD MCP server definitions\n(POST/PUT/DELETE /v1/api/admin/mcp-servers)
Admin -> UI : POST /v1/api/admin/mcp-servers/reload
UI -> MCPMgr : POST /_internal/mcp-reload\n(forwarded to each node)
MCPMgr -> MCPMgr : reconcile_sync()
note right
Diffs running servers against DB:
- New entries → connect
- Removed entries → disconnect
- Changed entries → reconnect
end note
== Startup: Connection & Discovery ==
MCPMgr -> DB : load_mcp_config(storage=)\n(merge config file + DB)
MCPMgr -> MCPSrv : initialize (stdio or HTTP)
MCPSrv --> MCPMgr : capabilities\n(tools, resources, prompts)
MCPMgr -> MCPSrv : tools/list
MCPSrv --> MCPMgr : Tool[]
opt resources capability
MCPMgr -> MCPSrv : resources/list
MCPSrv --> MCPMgr : Resource[]
MCPMgr -> MCPSrv : resources/templates/list
MCPSrv --> MCPMgr : ResourceTemplate[]
end
opt prompts capability
MCPMgr -> MCPSrv : prompts/list
MCPSrv --> MCPMgr : Prompt[]
end
note over MCPMgr
Per-server storage:
_per_server_tools, _per_server_resources, _per_server_prompts
Copy-on-write rebuild into _tools, _resources, _prompts
Prefix: mcp__{server}__{name}
end note
MCPMgr -> Session : notify tool listeners
MCPMgr -> Session : notify resource listeners
== Governance Sync (on connect & refresh) ==
MCPMgr -> Storage : sync_prompts_to_storage()
note right
For each MCP prompt:
- Manual template exists? → skip
- MCP template exists? → update
(reset is_default=False)
- New? → create (origin="mcp",
readonly=True, is_default=False)
Removed prompts → delete
Protected by _sync_lock
end note
== set_storage() from entry point ==
UI -> MCPMgr : set_storage(backend)
note right
If servers already connected,
triggers immediate sync
end note
== Runtime: Tool Execution ==
Session -> Session : _prepare_mcp_tool(func_name, args)
note right
approval_label = func_name
(e.g. mcp__github__search)
needs_approval = True
end note
Session -> MCPMgr : call_tool_sync(name, args)
MCPMgr -> MCPSrv : tools/call
MCPSrv --> MCPMgr : ToolResult
MCPMgr --> Session : output (text)
== Runtime: Resource Read ==
Session -> Session : _prepare_read_resource(uri)
note right
approval_label = mcp_resource__{normalized_uri}
URI normalized (.. resolved)
needs_approval = True
end note
Session -> MCPMgr : read_resource_sync(uri)
MCPMgr -> MCPSrv : resources/read
MCPSrv --> MCPMgr : ReadResourceResult
MCPMgr --> Session : content (text/blob)
== Runtime: Prompt Invocation ==
Session -> Session : _prepare_use_prompt(name, arguments)
note right
approval_label = mcp__srv__prompt
Validated via is_mcp_prompt()
needs_approval = True
end note
Session -> MCPMgr : get_prompt_sync(name, args)
MCPMgr -> MCPSrv : prompts/get
MCPSrv --> MCPMgr : GetPromptResult
MCPMgr --> Session : messages [{role, content}]
== Three-Tier Refresh ==
group Push Notifications
MCPSrv -> MCPMgr : ToolListChangedNotification
MCPMgr -> MCPMgr : _refresh_server_tools()
MCPSrv -> MCPMgr : ResourceListChangedNotification
MCPMgr -> MCPMgr : _refresh_server_resources()
MCPSrv -> MCPMgr : PromptListChangedNotification
MCPMgr -> MCPMgr : _refresh_server_prompts()
MCPMgr -> Storage : sync_prompts_to_storage()
end
group Periodic Polling (default 4h)
MCPMgr -> MCPMgr : _periodic_refresh()
note right
Only polls capabilities
without push support.
Staggered per-server.
end note
end
group Manual Refresh
Session -> MCPMgr : refresh_sync()
note right: /mcp refresh [server]
end
== Policy Evaluation ==
note over Session
Tool policies use fnmatch on approval_label:
- mcp__github__* → allow (all GitHub tools/prompts)
- mcp_resource__file:///docs/* → allow
- mcp_resource__* → deny (block all resource reads)
- mcp__untrusted__* → ask
end note
== UI Visibility ==
UI -> MCPMgr : server_count, get_resources(), get_prompts()
note over UI
/health → mcp.servers, mcp.resources, mcp.prompts
Server UI: magenta status badge
Console: cluster status bar + node detail
System message: <mcp-resources> + <mcp-prompts> catalogs
end note
@enduml
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@startuml
!theme plain
title Turnstone — Workstream Template Architecture
skinparam participant {
BackgroundColor<<admin>> #E8EAF6
BackgroundColor<<server>> #FFE0B2
BackgroundColor<<session>> #C8E6C9
BackgroundColor<<storage>> #B3E5FC
BackgroundColor<<integration>> #F3E5F5
}
participant "Admin / Console UI\n(governance.js)" as Admin <<admin>>
participant "Server\n(server.py)" as Server <<server>>
participant "ChatSession\n(session.py)" as Session <<session>>
participant "StorageBackend\n(SQLite)" as Storage <<storage>>
participant "Integration Points\n(scheduler, channel,\nbridge, MQ)" as Integrations <<integration>>
== Admin CRUD ==
Admin -> Server : POST /v1/api/admin/ws-templates
note right
**Payload:**
name, model, system_prompt,
temperature, reasoning_effort,
max_tokens, agent_max_turns,
auto_approve, auto_approve_tools,
token_budget, prompt_template,
prompt_template_hash, notify_on_complete
end note
Server -> Storage : create_ws_template()
Storage --> Server : ws_template_id
Admin -> Server : PUT /v1/api/admin/ws-templates/{id}
Server -> Storage : get_ws_template(id)\n(snapshot pre-update state)
Storage --> Server : existing template
Server -> Storage : create_ws_template_version()\n(version snapshot)
Server -> Storage : update_ws_template(id, ...)
note right
**Versioning:**
Each update snapshots
pre-update state into
workstream_template_versions.
version counter increments.
end note
Admin -> Server : GET /v1/api/admin/ws-templates
Server -> Storage : list_ws_templates()
Admin -> Server : DELETE /v1/api/admin/ws-templates/{id}
Server -> Storage : delete_ws_template(id)
== Workstream Creation Flow ==
Integrations -> Server : CreateWorkstreamMessage\n(ws_template="production-agent")
note right
**Sources:**
- Console UI (Profile dropdown)
- Scheduler (ws_template field)
- Channel Router (ws_template)
- Bridge (ws_template forwarding)
- MQ Client (ws_template)
end note
Server -> Storage : get_ws_template_by_name("production-agent")
Storage --> Server : template dict
Server -> Server : resolve_ws_template()\napply model override
note right
**Settings applied:**
- model (overrides default)
- system_prompt
- temperature
- reasoning_effort
- max_tokens
- agent_max_turns
- auto_approve / auto_approve_tools
- token_budget
- tool_search config
end note
Server -> Session : mgr.create(model=template.model, ...)
Session -> Session : _init_system_messages()
alt template has prompt_template
Session -> Storage : get_prompt_template_by_name()
Session -> Session : _render_template()\n{{model}}, {{ws_id}}, {{node_id}}
end
Session -> Storage : _save_config()\n+ ws_template_id, ws_template_version
== Drift Detection ==
Server -> Server : compute prompt_template_hash\n(at creation time)
note right
**Hash stored:**
SHA-256 of prompt_template
content at ws creation time.
Compared at next creation
to detect upstream changes.
end note
Server -> Storage : update_workstream()\n(store prompt_template_hash)
... later, new workstream created ...
Server -> Storage : get_ws_template()
Server -> Server : compare hash vs\ncurrent prompt_template content
alt hash mismatch
Server -> Server : log.warning(\n"prompt template drift detected")
end
== Token Budget Enforcement ==
Session -> Session : send(message)
Session -> Session : _check_budget_gate()
note right
**Budget gate:**
if token_budget set:
total = prompt_tokens + completion_tokens
if total >= token_budget:
block further sends
end note
alt budget exceeded
Session -> Session : approve_tools(\n__budget_override__)
note right
Model can request
budget override via
special approval label.
User must approve.
end note
else within budget
Session -> Session : continue normal flow
end
== Storage Schema ==
note over Storage
**workstream_templates**
id, name (unique), model, system_prompt,
temperature, reasoning_effort, max_tokens,
agent_max_turns, auto_approve, auto_approve_tools,
token_budget, prompt_template, prompt_template_hash,
tool_search, tool_search_threshold, tool_search_max_results,
version, created_at, updated_at
**workstream_template_versions**
id, template_id (FK), version, snapshot (JSON),
created_at
**workstreams** (updated columns)
+ ws_template_id: str | None
+ ws_template_version: int | None
**scheduled_tasks** (updated column)
+ ws_template: str | None
end note
@enduml
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@startuml
!theme plain
title Turnstone — Intent Validation (Judge) Architecture
skinparam participant {
BackgroundColor<<session>> #C8E6C9
BackgroundColor<<judge>> #FFE0B2
BackgroundColor<<storage>> #B3E5FC
BackgroundColor<<ui>> #E8EAF6
BackgroundColor<<fs>> #F5F5F5
}
participant "ChatSession\n(session.py)" as Session <<session>>
participant "IntentJudge\n(judge.py)" as Judge <<judge>>
participant "LLM Provider\n(provider)" as LLM <<judge>>
participant "StorageBackend\n(SQLite)" as Storage <<storage>>
participant "WebUI / SSE\n(server.py)" as UI <<ui>>
participant "Filesystem" as FS <<fs>>
== Tool Call Requires Approval ==
Session -> Session : _prepare_tool_calls()
note right
Tool calls parsed from
LLM response. Auto-approved
tools dispatched immediately.
Remaining items need approval.
end note
Session -> Session : _evaluate_intent(pending_items)
== Tier 1: Heuristic (synchronous, sub-ms) ==
Session -> Judge : evaluate(items, messages, callback)
Judge -> Judge : evaluate_heuristic()\nfor each item
note right
**Rule table (first match wins):**
Critical (0.90, deny): rm /, mkfs,
dd, pipe-to-shell, chmod 777 /,
write/edit /etc/ .ssh/
High (0.80, review): sudo, kill -9,
destructive git, DROP TABLE,
secrets, HTTP mutations, ssh/scp
Medium (0.70, review): pip/npm install,
write_file, MCP tools, docker ops
Low (0.85, approve): read_file,
list_directory, search, recall,
read-only bash (ls, cat, grep...)
Default: medium, 0.50, review
end note
Judge --> Session : heuristic_verdicts[]
Session -> Session : attach _heuristic_verdict\nto each pending item
Session -> UI : SSE: approve_request\n{items: [{verdict: ...}],\n judge_pending: true}
note right
Heuristic verdict displayed
immediately as risk badge.
Spinner shown while LLM
judge evaluates.
end note
Session -> Storage : create_intent_verdict()\nfor each heuristic verdict
== Tier 2: LLM Judge (daemon thread, async) ==
Judge -> Judge : spawn daemon thread\n"intent-judge"
note over Judge, LLM
**Context preparation:**
1. FIFO-truncate conversation history
to max_context_ratio of context window
2. Append tool call details as user message
3. System prompt defines judge role + JSON schema
end note
loop up to 3 turns (timeout budget)
Judge -> LLM : create_completion(\nmodel, judge_messages,\ntools=[read_file, list_directory])
LLM --> Judge : CompletionResult
alt tool_calls present (turn < 3)
Judge -> Judge : _exec_read_only_tool()
note right
**Security hardening:**
Blocked: /etc/, /root/,
/proc/, /sys/, /dev/,
.ssh, .gnupg, .aws,
*.pem, *.key, *.p12
File cap: 32KB
Dir cap: 200 entries
end note
Judge -> FS : read_file / list_directory
FS --> Judge : file contents
Judge -> Judge : append tool result\nto judge_messages
else text response (final verdict)
Judge -> Judge : _parse_verdict()
note right
**4-stage JSON parsing:**
1. Direct JSON.loads
2. Markdown code block
3. Brace-counting
4. Regex field extraction
end note
end
end
== Tier 3: Arbitration ==
Judge -> Judge : compare confidence:\nLLM vs heuristic
note right
Only deliver LLM verdict
if confidence > heuristic.
Otherwise heuristic stands.
end note
alt LLM confidence > heuristic confidence
Judge -> Session : callback(llm_verdict)
Session -> UI : SSE: intent_verdict\n{tier: "llm", ...}
note right
UI replaces heuristic badge
with LLM verdict. Spinner
resolves to final assessment.
end note
Session -> Storage : create_intent_verdict()\nfor LLM verdict
end
== User Decision ==
UI -> Session : resolve_approval(\napproved, feedback)
Session -> Storage : update_intent_verdict(\nverdict_id, user_decision)
note right
All tracked verdicts
(heuristic + LLM) updated
with "approved" or "denied".
Swap-and-clear avoids racing
with daemon judge thread.
end note
== Lifecycle ==
note over Session, Judge
**Lazy initialization:**
IntentJudge created on first approval if judge_config.enabled.
Re-uses session's provider/client by default (self-consistency).
Cross-model: separate provider/client from [judge] config.
**Sub-agent exemption:**
Plan agent and task agent skip intent validation entirely.
**Storage:**
intent_verdicts table (migration 012). Verdicts queryable via
GET /v1/api/admin/verdicts (requires admin.judge permission).
end note
@enduml
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@startuml
!theme plain
title Turnstone — Structured Memory Architecture
skinparam participant {
BackgroundColor<<session>> #C8E6C9
BackgroundColor<<facade>> #FFE0B2
BackgroundColor<<storage>> #B3E5FC
BackgroundColor<<api>> #E8EAF6
BackgroundColor<<sdk>> #F5F5F5
}
participant "ChatSession\n(session.py)" as Session <<session>>
participant "MemoryFacade\n(memory.py)" as Facade <<facade>>
participant "MemoryRelevance\n(memory_relevance.py)" as Relevance <<facade>>
participant "StorageBackend\n(SQLite)" as Storage <<storage>>
participant "Server API\n(server.py)" as API <<api>>
participant "Console Admin\n(console/server.py)" as Admin <<api>>
participant "SDK Client\n(sdk/)" as SDK <<sdk>>
== Phase 1: Tool Path (session.send) ==
Session -> Session : _prepare_tool_calls()\nparse memory(action=...)
note right
Tool schema: 4 actions
save, search, delete, list
Auto-approved (no approval needed)
end note
Session -> Session : _exec_memory(item)
alt action = save
Session -> Facade : save_structured_memory(\nname, content, description,\nmem_type, scope, scope_id)
Facade -> Facade : normalize_key(name)
Facade -> Storage : create_structured_memory()
alt unique constraint violation
Storage --> Facade : IntegrityError
Facade -> Storage : get_structured_memory_by_name()
Storage --> Facade : existing row
Facade -> Storage : update_structured_memory()
end
Storage --> Facade : memory_id
Facade --> Session : (memory_id, old_content)
Session -> Session : _init_system_messages()\nrefresh BM25 context
end
alt action = search
Session -> Facade : search_structured_memories(\nquery, mem_type, scope,\nscope_id, limit)
Facade -> Storage : search_structured_memories()
Storage --> Session : matched rows
end
alt action = delete
Session -> Facade : delete_structured_memory(\nname, scope, scope_id)
Facade -> Storage : delete_structured_memory()
Storage --> Session : bool (existed)
Session -> Session : _init_system_messages()\nrefresh BM25 context
end
== Phase 2: BM25 Relevance Injection ==
Session -> Session : _init_system_messages()\nevery conversation turn
Session -> Session : _get_visible_memories(\nlimit=fetch_limit)
note right
**Scope resolution:**
1. global scope (always)
2. workstream scope (ws_id)
3. user scope (user_id, if auth)
Combined and deduplicated.
end note
Session -> Facade : list_structured_memories()\nper scope
Facade -> Storage : list_structured_memories()
Storage --> Session : up to fetch_limit rows
Session -> Relevance : extract_recent_context(\nmessages, max_messages=3)
Relevance --> Session : user text context
Session -> Relevance : score_memories(\nmemories, context,\nk=relevance_k)
note right
**BM25 scoring:**
Index over name + description
+ content[:200] for each memory.
Returns top-k by relevance.
Empty query returns most recent k.
end note
Relevance --> Session : top-k memories
Session -> Relevance : build_memory_context(\nrelevant_memories)
note right
Formats as XML block:
<memories>
<memory name="..." type="..."
scope="..." description="...">
content (max 500 chars)
</memory>
</memories>
end note
Relevance --> Session : XML string
Session -> Session : inject into\nsystem message
== Phase 3: Server API Path ==
SDK -> API : GET /v1/api/memories\n?type=project&limit=20
API -> Facade : list_structured_memories()
Facade -> Storage : list_structured_memories()
Storage --> API : rows
API --> SDK : {"memories": [...], "total": N}
SDK -> API : POST /v1/api/memories\n{name, content, ...}
API -> API : validate type, scope,\nname length, content length
API -> Facade : save_structured_memory()
Facade -> Storage : create / update
Storage --> API : memory row
API --> SDK : 201 (created) / 200 (updated)
SDK -> API : POST /v1/api/memories/search\n{query, type, ...}
API -> Facade : search_structured_memories()
Facade -> Storage : search_structured_memories()
Storage --> API : matched rows
API --> SDK : {"memories": [...], "total": N}
SDK -> API : DELETE /v1/api/memories/{name}\n?scope=global
API -> Facade : delete_structured_memory()
Facade -> Storage : delete row
API --> SDK : {"status": "ok"}
== Phase 4: Console Admin Path ==
SDK -> Admin : GET /v1/api/admin/memories\n?type=&scope=&limit=
Admin -> Admin : require_permission(\n"admin.memories")
Admin -> Storage : list_structured_memories()
Storage --> Admin : rows
Admin --> SDK : {"memories": [...], "total": N}
SDK -> Admin : GET /v1/api/admin/memories/{id}
Admin -> Storage : get_structured_memory(id)
Storage --> Admin : memory row
Admin --> SDK : memory JSON
SDK -> Admin : DELETE /v1/api/admin/memories/{id}
Admin -> Storage : delete_structured_memory_by_id()
Admin -> Admin : record_audit(\n"memory.delete")
Admin --> SDK : {"status": "ok"}
== Configuration ==
note over Session, Relevance
**MemoryConfig** (from [memory] in config.toml):
relevance_k = 5 -- top-k memories per turn
fetch_limit = 50 -- max memories fetched for scoring
max_content = 32768 -- max content length per memory
nudge_cooldown = 300 -- seconds between metacognitive nudges
nudges = true -- enable/disable memory nudges
end note
@enduml
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@startuml
!theme plain
title Turnstone — Settings Architecture
skinparam participant {
BackgroundColor<<session>> #C8E6C9
BackgroundColor<<config>> #FFE0B2
BackgroundColor<<storage>> #B3E5FC
BackgroundColor<<api>> #E8EAF6
BackgroundColor<<sdk>> #F5F5F5
}
participant "Server\n(main)" as Server <<session>>
participant "ConfigStore\n(config_store.py)" as Store <<config>>
participant "SettingsRegistry\n(settings_registry.py)" as Registry <<config>>
participant "StorageBackend\n(SQLite)" as Storage <<storage>>
participant "Console Admin\n(console/server.py)" as Admin <<api>>
participant "SDK Client\n(sdk/)" as SDK <<sdk>>
participant "ChatSession\n(session.py)" as Session <<session>>
== Phase 1: Server Startup ==
Server -> Server : parse_args()\nCLI flags override defaults
Server -> Server : init_storage()\nSQLite / PostgreSQL
Server -> Store ** : ConfigStore(storage, node_id)
Store -> Storage : get_system_settings_bulk(node_id)
note right
1. Load global settings (node_id="")
2. Overlay per-node settings
Returns {key: json_value} dict
end note
Storage --> Store : raw settings
Store -> Registry : deserialize_value(key, json)\nper entry
Registry --> Store : typed values
Store -> Store : swap _cache atomically\nincrement _version
Server -> Server : warn_migrated_settings()
note right
Scans config.toml for keys
now managed by ConfigStore.
Logs warning for each overlap.
end note
Server -> Server : session_factory captures\nConfigStore reference
== Phase 2: Settings Read (session creation) ==
Server -> Session : session_factory(ws_id)
Session -> Store : get("model.temperature")
Store -> Store : cache[key] lookup\n(lock-free)
alt key in cache
Store --> Session : stored value
else key not in cache
Store -> Registry : SETTINGS[key].default
Registry --> Store : default value
Store --> Session : default value
end
note right of Session
Settings are captured once
at workstream creation.
Not re-read on every turn.
end note
== Phase 3: Admin API — List / Schema ==
SDK -> Admin : GET /v1/api/admin/settings
Admin -> Admin : require_permission(\n"admin.settings")
Admin -> Store : all_effective()
Store -> Store : merge cache with\nregistry defaults
Store --> Admin : {key: effective_value}
Admin -> Registry : SETTINGS (metadata)
note right
Annotates each setting with:
type, default, description,
is_stored, is_secret, constraints,
changed_by, updated
end note
Admin --> SDK : {"settings": [...], "total": N}
SDK -> Admin : GET /v1/api/admin/settings/schema
Admin -> Admin : require_permission(\n"admin.settings")
Admin -> Registry : SETTINGS catalog
Admin --> SDK : {"settings": [...], "total": N}
== Phase 4: Admin API — Update ==
SDK -> Admin : PUT /v1/api/admin/settings/\nmodel.temperature\n{"value": 0.7}
Admin -> Admin : require_permission(\n"admin.settings")
Admin -> Registry : validate_key("model.temperature")
Registry --> Admin : SettingDef
alt is_secret == true
Admin --> SDK : 403 Forbidden
else
Admin -> Registry : validate_value(key, 0.7)
note right
Type coercion: float(0.7)
Range check: 0.0 <= 0.7 <= 2.0
Choices check: (none for this key)
end note
Registry --> Admin : typed value
Admin -> Store : set(key, 0.7, changed_by="admin")
Store -> Registry : serialize_value(0.7)\n=> "0.7"
Store -> Storage : upsert_system_setting(\nkey, "0.7", node_id, ...)
Storage --> Store : ok
Store -> Store : swap _cache atomically
Admin -> Admin : record_audit(\n"setting.update")
Admin --> SDK : {"key": "...", "value": 0.7,\n"previous": 0.5}
end
== Phase 5: Admin API — Delete (reset to default) ==
SDK -> Admin : DELETE /v1/api/admin/settings/\nmodel.temperature
Admin -> Admin : require_permission(\n"admin.settings")
Admin -> Store : delete("model.temperature")
Store -> Registry : validate_key(key)
Store -> Storage : delete_system_setting(key, node_id)
Storage --> Store : bool (existed)
Store -> Store : remove from cache,\nswap atomically
Admin -> Admin : record_audit(\n"setting.delete")
Admin --> SDK : {"status": "ok",\n"key": "...", "default": 0.5}
== Phase 6: Hot Reload ==
SDK -> Admin : POST /v1/api/_internal/\nconfig-reload
Admin -> Store : reload()
Store -> Storage : get_system_settings_bulk(node_id)
Storage --> Store : all settings
Store -> Store : rebuild cache,\nswap atomically,\nincrement _version
note right
Existing sessions: unchanged
(frozen at creation time).
New sessions: pick up
updated values immediately.
end note
Admin --> SDK : {"status": "ok"}
== Precedence Summary ==
note over Server, Registry
**Server entry point:**
CLI flag > ConfigStore (database) > registry default
**CLI entry point:**
CLI flag > config.toml > argparse default
**Bootstrap settings** (database, Redis, auth, server bind):
Always from config.toml / env vars — never in ConfigStore.
end note
@enduml
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| `server` | 8080 | default | Web UI + chat workstreams + LLM |
| `bridge` | — | default | Redis-to-HTTP bridge (multi-node routing) |
| `console` | 8090 | default | Cluster dashboard |
| `channel` | — | production | Channel gateway (Discord, Slack, etc.) |
| `server-1``server-10` | — | cluster | 10-node server fleet (PostgreSQL required) |
| `bridge-1``bridge-10` | — | cluster | Matching bridge fleet |
| `sim` | — | sim | Multi-node cluster simulator |
## Profiles
@@ -37,6 +40,18 @@ Console dashboard: http://localhost:8090
docker compose up
```
**Production** — adds PostgreSQL and the channel gateway. Requires `POSTGRES_PASSWORD` and (for Discord) `TURNSTONE_DISCORD_TOKEN`:
```bash
docker compose --profile production up
```
**Cluster** — 10-node server/bridge fleet sharing PostgreSQL and Redis. Access all nodes via the console at `:8090`. Requires `POSTGRES_PASSWORD`:
```bash
docker compose --profile cluster up
```
**Sim** — adds the simulator. Can run alongside the full stack or standalone with just Redis and the console:
```bash
@@ -84,8 +99,35 @@ All configuration is via environment variables in `.env` (copy from `.env.exampl
| Variable | Default | Description |
|----------|---------|-------------|
| `TURNSTONE_AUTH_ENABLED` | — | Set to `1` to require Bearer token auth |
| `TURNSTONE_AUTH_TOKEN` | — | Shared auth token for server/bridge/console |
| `TURNSTONE_AUTH_ENABLED` | — | Set to `1` to require authentication |
| `TURNSTONE_AUTH_TOKEN` | — | Config-file token for server/bridge/console (backward compat, works alongside JWT) |
| `TURNSTONE_JWT_SECRET` | — | Secret key for signing JWTs (required when using user identity / JWT auth) |
### Database
| Variable | Default | Description |
|----------|---------|-------------|
| `TURNSTONE_DB_BACKEND` | `sqlite` | Storage backend: `sqlite` or `postgresql` |
| `TURNSTONE_DB_URL` | — | Database URL (e.g. `postgresql://user:pass@db:5432/turnstone`). For SQLite, defaults to `/data/.turnstone.db` |
The database stores workstream history, user accounts, and API tokens. When using JWT auth, a database backend is required for user storage.
> **First-time setup:** After deploying with auth enabled, create an initial admin user by running `turnstone-admin create-user` inside the container:
>
> ```bash
> docker compose exec server turnstone-admin create-user --username admin --name "Admin"
> ```
>
> You will be prompted to set a password. Use it to log in via the UI or SDK, then create additional users through the admin API. Pass `--token --scopes read,write,approve` to also generate an initial API token.
### Channel Gateway
| Variable | Default | Description |
|----------|---------|-------------|
| `TURNSTONE_DISCORD_TOKEN` | — | Discord bot token (required to enable Discord adapter) |
| `TURNSTONE_DISCORD_GUILD` | `0` | Restrict to a single Discord guild (0 = all guilds) |
The channel service runs in the `production` profile. When `TURNSTONE_DISCORD_TOKEN` is set, the Discord adapter connects to the Discord Gateway and routes messages through Redis MQ to the bridge and server. See [Channel Integrations](channels.md) for full setup instructions including Discord application creation and user account linking.
### Simulator
@@ -101,13 +143,13 @@ All configuration is via environment variables in `.env` (copy from `.env.exampl
## Scaling
Scale to multiple server/bridge pairs:
For multi-node testing, use the `cluster` profile which provides 10 dedicated server+bridge pairs with unique node IDs (`node-1` through `node-10`), resource limits, and shared PostgreSQL:
```bash
docker compose up --scale server=3 --scale bridge=3
POSTGRES_PASSWORD=secret docker compose --profile cluster up
```
Each bridge auto-generates a unique node ID from its container hostname. When scaling `server`, remove the host port mapping (or use a reverse proxy) to avoid port conflicts.
The default `server` and `bridge` also run alongside the cluster nodes (11 total). All nodes are accessible via the console dashboard at `:8090`.
## Volumes
@@ -128,7 +170,7 @@ docker compose build
docker compose build --no-cache
```
All five entry points are installed in a single image: `turnstone-server`, `turnstone-bridge`, `turnstone-console`, `turnstone-sim`, `turnstone-eval`.
All entry points are installed in a single image: `turnstone-server`, `turnstone-bridge`, `turnstone-console`, `turnstone-channel`, `turnstone-admin`, `turnstone-sim`, `turnstone-eval`.
## Cleanup
+214
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@@ -0,0 +1,214 @@
# Governance
Turnstone governance provides role-based access control (RBAC), tool execution
policies, prompt templates, usage tracking, and audit logging for the admin
console.
## Architecture
See [diagram: 19-governance-architecture.puml](diagrams/19-governance-architecture.puml).
### RBAC (Roles & Permissions)
The permission model has two layers:
1. **Scopes** (legacy) — `read`, `write`, `approve`. Checked by `AuthMiddleware`
on every request based on URL path classification.
2. **Permissions** (granular) — 15 permission strings checked per-endpoint by
`require_permission()`.
**Built-in roles** (seeded by migration 008):
| Role | Permissions |
|------|-------------|
| admin | read, write, approve, admin.users, admin.roles, admin.orgs, admin.policies, admin.templates, admin.audit, admin.usage, admin.schedules, admin.watches, tools.approve, workstreams.create, workstreams.close |
| operator | read, write, workstreams.create, workstreams.close |
| viewer | read |
Custom roles can be created with any subset of the 15 valid permissions.
**Auth flow:**
1. User logs in (password or API token) → `_load_user_permissions()` aggregates
permissions from all assigned roles
2. `_permissions_to_scopes()` derives legacy scopes (any `admin.*``approve`)
3. JWT created with both `scopes` and `permissions` claims
4. Middleware checks scope → handler checks permission via `require_permission()`
### Tool Policies
Admin-defined rules that control tool execution:
- **Pattern matching**: Glob syntax via `fnmatch` (e.g., `bash*`, `file_write`, `*`)
- **Actions**: `allow` (auto-approve), `deny` (block), `ask` (normal approval flow)
- **Priority**: Higher priority evaluated first, first match wins
- **Enforcement**: `evaluate_tool_policies_batch()` called in `WebUI.approve_tools()`
before the `auto_approve` check
- **MCP granular policies**: MCP resources and prompts are evaluated using their
`approval_label` for fine-grained control:
- Resource reads: `mcp_resource__{uri}` (e.g., `mcp_resource__file:///docs/*` to allow,
`mcp_resource__*` to deny all)
- Prompt invocations: `mcp__{server}__{prompt}` (e.g., `mcp__trusted__*` to allow,
`mcp__*` to require approval for all)
- Built-in tools continue to use `func_name` for backward compatibility
### Prompt Templates
Admin-curated system message templates injected at workstream startup:
- **Runtime behavior**: Templates are loaded once at session creation and injected
into the system message *before* user `instructions`. Templates set the baseline;
instructions customize per-workstream behavior.
- **Default templates**: All `is_default=true` templates auto-apply to new
workstreams, concatenated in alphabetical order by name. Use name prefixes
(e.g. `01-safety`, `02-style`) to control ordering.
- **Explicit selection**: `--template <name>` CLI flag, `template` field on
`POST /v1/api/workstreams/new`, console creation modal dropdown, scheduled task
config, and channel adapter config. An explicit template *replaces* defaults.
- **Variables**: Three built-in placeholders resolved at load time:
`{{model}}` (active model name), `{{ws_id}}` (workstream ID),
`{{node_id}}` (server node ID). Unrecognized placeholders are kept as-is.
- **Runtime switching**: `/template <name>` to switch, `/template clear` to revert
to defaults, `/template` to show current. Persisted across resume.
- **Categories**: general, engineering, support, custom, mcp
- **Content limit**: 32 KB per template (enforced on create/update)
- **Storage**: `prompt_templates` table with JSON `variables` array. Migration 010
adds `template` column to `scheduled_tasks`.
- **MCP sync**: MCP server prompts auto-sync into prompt_templates with
`origin="mcp"`, `mcp_server` set, and `readonly=True`. Manual templates take
precedence on name collision. MCP-synced content updates reset `is_default` to
prevent compromised servers from injecting defaults. Admin UI shows origin badge
and disables edit/delete for MCP-sourced templates.
### Workstream Templates
Workstream templates are behavioral profiles applied at workstream creation — the next level beyond prompt templates. While prompt templates inject system message text, workstream templates define the complete workstream configuration.
**What they define:**
- System prompt (inline text OR reference to a prompt template by name)
- Model override (empty = server default)
- Temperature, reasoning effort, max tokens, agent max turns
- Auto-approve policy (blanket and/or per-tool list)
- Token budget (0 = unlimited; warns at 80%, requires approval at 100%)
- Completion notification config (stored for v2 dispatch)
**Storage:** `workstream_templates` table (migration 011) with auto-versioning. Edits snapshot the pre-update state into `workstream_template_versions`. Workstreams record which template and version spawned them via `ws_template_id` + `ws_template_version` columns.
**Applied once at creation:** Template settings are snapshot-applied to the workstream's config. Not a live binding — template updates don't affect running workstreams.
**Prompt template drift detection:** When a workstream template references a prompt template, a SHA-256 hash of the prompt content is stored at ws_template create/update time. At workstream creation, the server compares the stored hash against current content and logs a warning on mismatch.
**Admin API:** 7 endpoints under `/v1/api/admin/ws-templates` (list, create, get, update, delete, version history) plus a read-only summary at `/v1/api/ws-templates`. Permission: `admin.ws_templates`.
**Console UI:** "WS Templates" tab with CRUD table, create/edit modals (name, description, system prompt source toggle, model, auto-approve, per-tool auto-approve, temperature, reasoning effort, max tokens, agent max turns, token budget, enabled), and version history modal. "Profile" dropdown on workstream creation modal. "WS Template" dropdown on scheduler create/edit modals.
**Token budget enforcement:** Tracked in `session.send()`. At 80% consumption, emits an info message. At 100%, the next turn requires explicit approval via the `__budget_override__` synthetic tool name (reuses existing approval UI — inline in browser, Discord buttons, bridge auto-approve). The synthetic name can be targeted by tool policies (e.g. `__budget_override__``allow` for admins).
**SDK:** Python (`list_ws_templates`, `create_ws_template`, `get_ws_template`, `update_ws_template`, `delete_ws_template`, `list_ws_template_versions`) and TypeScript (`listWsTemplates`, `createWsTemplate`, etc.) on both sync and async console clients. `ws_template` parameter on `create_workstream()` for both server and console SDKs.
### Usage Tracking
Per-LLM-request token and tool call metrics:
- **Recording**: `on_status()` in `WebUI` records a `usage_event` after each
LLM response with prompt/completion tokens, tool call count, model, ws_id
- **Querying**: `GET /v1/api/admin/usage` with `group_by` (day/hour/model/user)
and time range filtering
- **Pruning**: `prune_usage_events(retention_days=90)` and
`prune_audit_events(retention_days=365)` run automatically via the
console scheduler's periodic cleanup cycle
### Audit Logging
Append-only trail of admin actions:
- **Recording**: `record_audit()` helper called from all admin mutation handlers
- **Events captured**: user.create, user.delete, token.create, token.revoke,
channel.link, channel.unlink, role.create, role.update, role.delete,
role.assign, role.unassign, policy.create, policy.update, policy.delete,
template.create, template.update, template.delete,
ws_template.create, ws_template.update, ws_template.delete, org.update
- **Querying**: `GET /v1/api/admin/audit` with action/user/time filters + pagination
## Database Schema
Migration 008 adds 7 tables:
| Table | Purpose |
|-------|---------|
| `orgs` | Organizations (single default org for now) |
| `roles` | Named permission bundles (3 builtin + custom) |
| `user_roles` | User-to-role assignments (composite PK) |
| `tool_policies` | Per-tool approve/deny/ask rules |
| `prompt_templates` | Reusable system message templates |
| `usage_events` | Per-request token/tool metrics |
| `audit_events` | Admin action log |
Also adds `org_id` column to `users` table.
## API Endpoints
All under `/v1/api/admin/` (requires `approve` scope + granular permission).
| Group | Endpoints | Permission |
|-------|-----------|------------|
| Users / Tokens / Channels | 9 (CRUD) | `admin.users` |
| Roles | 7 (CRUD + assignment) | `admin.roles` / `admin.users` |
| Orgs | 3 (list, get, update) | `admin.orgs` |
| Tool Policies | 4 (CRUD) | `admin.policies` |
| Prompt Templates | 4 (CRUD) | `admin.templates` |
| Schedules | 6 (CRUD + runs) | `admin.schedules` |
| WS Templates | 7 (CRUD + versions + summary) | `admin.ws_templates` |
| Watches | 3 (list, create, cancel) | `admin.watches` |
| Usage | 1 (aggregated query) | `admin.usage` |
| Audit | 1 (paginated, filtered) | `admin.audit` |
Full OpenAPI spec at `/openapi.json` and Swagger UI at `/docs`.
## Admin Console UI
6 new tabs added to the admin panel (11 total):
- **Roles** — CRUD roles, permission checkbox grid, user role assignment modal
- **Policies** — CRUD tool policies with colored action badges (green/red/amber)
- **Templates** — CRUD prompt templates with wide modal, textarea editor
- **WS Templates** — CRUD workstream templates with create/edit modals, version history
- **Usage** — Summary readouts + CSS bar chart, time range + group-by selectors
- **Audit** — Filterable log with relative timestamps, load-more pagination
Tabs are permission-gated: hidden if the user lacks the required permission.
## SDK
Both Python and TypeScript console SDKs expose governance methods:
**Python** (`TurnstoneConsole` / `AsyncTurnstoneConsole`):
- `list_roles()`, `create_role()`, `update_role()`, `delete_role()`
- `list_user_roles()`, `assign_role()`, `unassign_role()`
- `list_orgs()`, `get_org()`, `update_org()`
- `list_policies()`, `create_policy()`, `update_policy()`, `delete_policy()`
- `list_templates()`, `create_template()`, `update_template()`, `delete_template()`
- `list_ws_templates()`, `create_ws_template()`, `get_ws_template()`, `update_ws_template()`, `delete_ws_template()`, `list_ws_template_versions()`
- `get_usage(since, group_by=...)`, `get_audit(action=..., limit=...)`
**TypeScript** (`TurnstoneConsole`):
- Same methods with camelCase naming and typed interfaces
## Security Considerations
- **Privilege escalation prevented**: `admin_assign_role` blocks self-assignment
and requires caller to hold a superset of the target role's permissions
- **Permission validation**: Role create/update validates permissions against
a 15-item allowlist (`_VALID_PERMISSIONS`)
- **Self-deletion blocked**: `admin_delete_user` rejects attempts to delete
your own account (matching the self-assignment guard on role endpoints)
- **Field allowlists**: Storage `update_*` methods filter fields against
allowlists (`_ROLE_MUTABLE`, `_POLICY_MUTABLE`, etc.) — handler bugs
cannot overwrite `role_id`, `builtin`, `created`, or other protected columns
- **Bootstrap safety**: `handle_auth_setup` fails and rolls back if admin role
assignment fails, preventing locked-out first user
- **API token RBAC**: `_authenticate_api_token` loads permissions from user's
roles, ensuring API tokens are subject to RBAC enforcement
- **Policy evaluation is fail-open**: If storage is unavailable, tool policies
degrade to the existing approval flow (not auto-approve)
- **Audit IP resolution**: `_audit_context()` prefers `X-Forwarded-For` for
client IP when behind a reverse proxy, falling back to `request.client.host`
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# Intent Validation (Judge)
> See also: [Judge Architecture diagram](diagrams/png/22-judge-architecture.png)
Intent validation provides advisory risk assessments for tool calls that require
human approval. An LLM judge evaluates each tool call and presents a structured
verdict alongside the approval prompt, helping users make informed decisions.
## Overview
When a tool call requires approval, the intent validation system runs a two-tier
evaluation:
1. **Heuristic tier** (instant) -- Pattern-based risk classification using a
rule table. Zero cost, sub-millisecond latency.
2. **LLM judge tier** (async) -- Semantic evaluation using an LLM with
read-only tool access. Runs on a daemon thread and delivers its verdict
progressively.
The verdict is purely advisory -- the user always makes the final decision.
The heuristic verdict is attached to the `approve_request` SSE event immediately.
The LLM verdict arrives later via an `intent_verdict` SSE event, allowing the
UI to show a spinner that resolves into a richer assessment. Both verdicts are
persisted to the `intent_verdicts` table for audit and future calibration.
---
## Configuration
### config.toml
```toml
[judge]
enabled = true
model = "" # empty = same as session model
provider = "" # empty = same as session provider
base_url = ""
api_key = ""
confidence_threshold = 0.7 # reserved for v2 smart approvals (not used in v1)
max_context_ratio = 0.5 # max % of judge context window for history
timeout = 60.0 # seconds (generous for local models)
read_only_tools = true # judge can use read_file/list_directory
```
All fields are optional. The judge is enabled by default; use `enabled = false`
(or `--no-judge` on the command line) to disable it.
### CLI flags
```
--judge / --no-judge Enable/disable (default: enabled)
--judge-model MODEL Model for judge
--judge-provider PROVIDER Provider for judge
--judge-timeout SECONDS LLM judge timeout (default: 60)
--judge-confidence FLOAT Confidence threshold (default: 0.7)
```
CLI flags override `config.toml` values.
---
## Judge Model Selection
- **Default (self-consistency)**: When `model` is empty, the session model
evaluates its own tool calls. Research shows self-consistency achieves
comparable accuracy to multi-agent debate at a fraction of the cost.
- **Cross-model**: Use a different model for the judge (e.g. local model for
the session, commercial model for the judge). Set `model` and `provider`
in the `[judge]` config section, or use `--judge-model` / `--judge-provider`
CLI flags.
- **Cross-provider**: When both `model` and `provider` are set, the judge
creates its own LLM client. You can optionally specify `base_url` and
`api_key` for non-default endpoints.
---
## Heuristic Rules
The heuristic tier scans a priority-ordered rule table (critical first, low
last) and returns the first matching rule. Each rule has:
- **Tool pattern**: fnmatch glob matched against `func_name` and `approval_label`
- **Argument patterns**: Regex patterns matched against the tool's primary
argument text (command string for bash, path for file tools, JSON for others)
- **Risk level, confidence, and recommendation**: Pre-assigned per rule
### Rule tiers
| Tier | Confidence | Recommendation | Examples |
|----------|-----------|----------------|----------|
| Critical | 0.90 | deny | `rm -rf /`, `mkfs`, `dd if=`, pipe-to-shell, chmod 777 on root, write/edit to `/etc/`, `.ssh/` |
| High | 0.80 | review | `sudo`, `kill -9`, destructive git (`reset --hard`, `push --force`, `clean -f`), DROP TABLE, write/edit secrets (`.env`, `.pem`, `.key`), HTTP mutations, `ssh`/`scp` |
| Medium | 0.70 | review | Package installs (`pip`, `npm`, `apt`, `brew`, `cargo`), `write_file` (default), MCP tool calls, Docker operations |
| Low | 0.85 | approve | `read_file`, `list_directory`, `search`, `recall`, `man`, `use_prompt`, read-only bash commands (`ls`, `cat`, `head`, `grep`, `find`, etc.) |
When no rule matches, the heuristic returns a default verdict: medium risk,
0.50 confidence, "review" recommendation.
The bash "read-only" rule handles simple pipelines and command chains by
splitting on `|`, `&&`, `||`, and `;`, then checking each segment individually.
---
## LLM Judge
The LLM judge runs on a daemon thread and performs a multi-turn evaluation:
1. **Context preparation**: Recent conversation history is FIFO-truncated to
fit within `max_context_ratio` of the judge's context window. The tool call
details (name, approval label, full arguments) are appended as a user message.
2. **Multi-turn loop** (up to 5 turns): The judge can use `read_file` and
`list_directory` to gather evidence before rendering its verdict. Each tool
result is appended to the conversation and the judge is called again. On
the final turn, tools are stripped and a forcing message instructs the
judge to render its verdict immediately.
3. **Verdict parsing**: The judge's final text response is parsed as JSON using
a four-stage strategy: direct parse, markdown code block extraction,
brace-counting, and regex field extraction as a last resort.
4. **Arbitration**: If the LLM verdict has higher confidence than the heuristic,
it replaces the heuristic via the `intent_verdict` SSE event.
### Read-only tools
When `read_only_tools` is enabled (default), the judge can use two tools:
- **`read_file`**: Read file contents (capped at 32 KB)
- **`list_directory`**: List directory entries (capped at 200 entries)
Security hardening blocks access to sensitive paths:
| Category | Blocked patterns |
|----------|-----------------|
| System directories | `/etc/`, `/root/`, `/proc/`, `/sys/`, `/dev/` |
| Credential directories | `.ssh`, `.gnupg`, `.aws`, `.config` |
| Key files | `*.pem`, `*.key`, `*.p12`, `*.pfx` |
### Timeout
The `timeout` setting (default 60 seconds) is a total budget across all judge
turns. Time is decremented after each LLM call. If the budget expires mid-turn,
the judge attempts to parse whatever partial response is available.
---
## Verdict Structure
Each verdict (heuristic or LLM) is an `IntentVerdict` with these fields:
| Field | Type | Description |
|------------------|------------|-------------|
| `verdict_id` | string | Unique identifier (UUID prefix) |
| `call_id` | string | Correlates with the tool call's `call_id` |
| `func_name` | string | Tool function name |
| `intent_summary` | string | One-sentence description of what the tool call does |
| `risk_level` | string | `"low"`, `"medium"`, `"high"`, or `"critical"` |
| `confidence` | float | 0.0--1.0, how certain the assessment is |
| `recommendation` | string | `"approve"`, `"review"`, or `"deny"` |
| `reasoning` | string | Explanation of the assessment |
| `evidence` | list[str] | Supporting evidence (rule name or file excerpts) |
| `tier` | string | `"heuristic"` or `"llm"` |
| `judge_model` | string | Model used (empty for heuristic tier) |
| `latency_ms` | int | Evaluation time in milliseconds |
---
## Session Integration
The judge is lazy-initialized on first use. When `ChatSession` prepares tool
calls for approval, it calls `_evaluate_intent()` which:
1. Instantiates `IntentJudge` if not already created
2. Extracts `func_name`, `func_args`, and `approval_label` from each pending item
3. Calls `judge.evaluate()` which returns heuristic verdicts immediately
4. Attaches each heuristic verdict to its item as `_heuristic_verdict`
5. The daemon thread runs the LLM judge and delivers results via `ui.on_intent_verdict()`
Sub-agents (plan agent, task agent) are exempt from intent validation -- they
always get full tool visibility without judge evaluation.
---
## Storage and Audit
All verdicts are persisted to the `intent_verdicts` table (migration 012):
- Heuristic verdicts are stored when the `approve_request` event is emitted
- LLM verdicts are stored when the `intent_verdict` event is delivered
- The `user_decision` column is updated when the user approves or denies
The console admin panel exposes verdict history via:
```
GET /v1/api/admin/verdicts?ws_id=&since=&until=&risk_level=&limit=100&offset=0
```
This endpoint requires the `admin.judge` permission.
---
## SSE Events
### `approve_request` (extended)
When the judge is active, `approve_request` items include a `verdict` field
with the heuristic verdict, and the event includes a `judge_pending` flag
indicating that an LLM verdict is in flight:
```json
{
"type": "approve_request",
"judge_pending": true,
"items": [
{
"call_id": "call_abc123",
"header": "bash: npm install express",
"preview": "",
"func_name": "bash",
"approval_label": "bash",
"needs_approval": true,
"error": null,
"verdict": {
"verdict_id": "a1b2c3d4e5f6",
"call_id": "call_abc123",
"func_name": "bash",
"intent_summary": "Package installation: npm install express",
"risk_level": "medium",
"confidence": 0.70,
"recommendation": "review",
"reasoning": "Command installs a software package which may modify the environment.",
"evidence": ["Matched rule: package-install"],
"tier": "heuristic",
"judge_model": "",
"latency_ms": 0
}
}
]
}
```
### `intent_verdict`
Delivered asynchronously when the LLM judge completes. The UI replaces the
heuristic verdict badge with the LLM verdict:
```json
{
"type": "intent_verdict",
"verdict_id": "f7e8d9c0b1a2",
"call_id": "call_abc123",
"func_name": "bash",
"intent_summary": "Install Express.js web framework via npm",
"risk_level": "medium",
"confidence": 0.85,
"recommendation": "review",
"reasoning": "The command installs express from npm. This is a well-known package but will modify node_modules and package.json.",
"evidence": ["Checked package.json — express is not currently a dependency"],
"tier": "llm",
"judge_model": "gpt-5",
"latency_ms": 2340
}
```
---
## v2 Calibration Path
Run v1 with all tools requiring manual approval to build a local verdict
dataset. The `intent_verdicts` table accumulates `(tool_call, verdict,
user_decision)` triples over time. In v2, calibration tooling will analyze
this dataset to:
- Identify tools that are always approved (candidates for auto-approve policies)
- Detect false positives in heuristic rules
- Measure LLM judge accuracy against human decisions
- Recommend policy changes to reduce approval fatigue
This data-driven approach means v1 is both useful on its own and a foundation
for automated policy tuning.
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# Structured Memory
> See also: [Memory Architecture diagram](diagrams/png/23-memory-architecture.png)
The structured memory system gives the AI persistent, typed, scoped memories
that survive across sessions and workstreams. Memories are automatically
surfaced in the system message via BM25 relevance scoring, so the model has
contextual recall without explicit search.
## Overview
Each memory has three dimensions:
- **Type** -- categorizes the memory's purpose
- **Scope** -- controls visibility boundaries
- **Name** -- unique identifier within a scope (snake_case, normalized)
### Memory types
| Type | Purpose |
|-------------|------------------------------------------------------------|
| `user` | User preferences, conventions, working style |
| `project` | Project-specific knowledge, architecture, patterns |
| `feedback` | Corrections, lessons learned, things to avoid |
| `reference` | Reference material, documentation, specifications |
### Memory scopes
| Scope | Visibility |
|--------------|-----------------------------------------------------------|
| `global` | Visible to all workstreams and users |
| `workstream` | Visible only within the originating workstream |
| `user` | Follows the authenticated user across workstreams |
A memory's identity is the tuple `(name, scope, scope_id)`. Saving a memory
with the same identity upserts -- updating content while preserving the ID.
### BM25 relevance injection
On every conversation turn, the system:
1. Fetches up to `fetch_limit` memories visible in the current scope
2. Extracts context from the last 3 user messages
3. Scores memories against that context using a BM25 index
4. Injects the top `relevance_k` memories into the system message as
`<memories>` XML tags
5. Appends a hint telling the model how many memories are in scope
This means the model always has its most relevant memories available without
explicit recall -- but can still use `memory(action='search')` for deeper
lookup.
### Nudges
The metacognition layer can nudge the model to save memories at appropriate
moments (e.g., after a correction or when resuming a workstream). Nudges are
rate-limited by `nudge_cooldown` and can be disabled entirely.
---
## Configuration
### config.toml
```toml
[memory]
relevance_k = 5 # top-k memories injected per turn
fetch_limit = 50 # max memories fetched from storage for scoring
max_content = 32768 # max content length per memory (characters)
nudge_cooldown = 300 # minimum seconds between memory nudges
nudges = true # enable/disable metacognitive nudges
```
All fields are optional. Defaults are shown above.
---
## Tool Usage
The `memory` tool supports four actions:
### save
Store or update a memory.
```json
{
"action": "save",
"name": "project_architecture",
"content": "The project uses a hexagonal architecture with...",
"description": "Core architecture patterns",
"type": "project",
"scope": "global"
}
```
| Parameter | Required | Default | Description |
|---------------|----------|-------------|------------------------------------------|
| `name` | yes | -- | Snake_case identifier (max 256 chars) |
| `content` | yes | -- | Memory content (max `max_content` chars) |
| `description` | no | `""` | Short description for relevance matching |
| `type` | no | `"project"` | One of: user, project, feedback, reference |
| `scope` | no | `"global"` | One of: global, workstream, user |
### search
Find memories by query (BM25 full-text search).
```json
{
"action": "search",
"query": "authentication patterns",
"type": "project",
"limit": 10
}
```
| Parameter | Required | Default | Description |
|-----------|----------|---------|--------------------------------------|
| `query` | yes | -- | Search query |
| `type` | no | `""` | Filter by type |
| `scope` | no | `""` | Filter by scope |
| `limit` | no | `20` | Max results (capped at 50) |
### delete
Remove a memory by name.
```json
{
"action": "delete",
"name": "outdated_pattern",
"scope": "global"
}
```
| Parameter | Required | Default | Description |
|------------|----------|------------|--------------------------|
| `name` | yes | -- | Memory name to delete |
| `scope` | no | `"global"` | Scope of the memory |
### list
List all memories with optional filters.
```json
{
"action": "list",
"type": "feedback",
"limit": 50
}
```
| Parameter | Required | Default | Description |
|-----------|----------|---------|----------------------------|
| `type` | no | `""` | Filter by type |
| `scope` | no | `""` | Filter by scope |
| `limit` | no | `20` | Max results (capped at 50) |
---
## Server API
Four endpoints on the server for programmatic memory access.
### `GET /v1/api/memories`
List memories with optional filters.
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|------------|--------|----------|---------|------------------------------|
| `type` | string | no | `""` | Filter by memory type |
| `scope` | string | no | `""` | Filter by scope |
| `scope_id` | string | no | `""` | Filter by scope ID |
| `limit` | int | no | `100` | Max results (capped at 200) |
When `scope=user` and `scope_id` is omitted, the authenticated user's ID is
used automatically.
**Response:** `200`
```json
{
"memories": [
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "project_architecture",
"description": "Core architecture patterns",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "The project uses a hexagonal architecture...",
"created": "2026-03-10T10:00:00",
"updated": "2026-03-12T14:30:00"
}
],
"total": 1
}
```
---
### `POST /v1/api/memories`
Save or upsert a structured memory.
**Request body:**
```json
{
"name": "deployment_process",
"content": "Deploy via GitHub Actions. Staging auto-deploys on push to main.",
"description": "CI/CD deployment workflow",
"type": "project",
"scope": "global",
"scope_id": ""
}
```
| Field | Type | Required | Default | Description |
|--------------|--------|----------|-------------|--------------------------------------|
| `name` | string | yes | -- | Memory name (max 256 chars) |
| `content` | string | yes | -- | Memory content (max 65536 chars) |
| `description`| string | no | `""` | Short description for search ranking |
| `type` | string | no | `"project"` | One of: user, project, feedback, reference |
| `scope` | string | no | `"global"` | One of: global, workstream, user |
| `scope_id` | string | no | `""` | Scope qualifier (auto-resolved for user scope) |
**Response (created):** `201`
```json
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "deployment_process",
"description": "CI/CD deployment workflow",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "Deploy via GitHub Actions...",
"created": "2026-03-14T10:00:00",
"updated": "2026-03-14T10:00:00"
}
```
**Response (updated):** `200` -- same schema, returned when a memory with the
same `(name, scope, scope_id)` already existed.
**Errors:**
| Status | Condition |
|--------|------------------------------------|
| 400 | Missing name, empty content, invalid type/scope, content too long |
---
### `POST /v1/api/memories/search`
Search memories by query. Uses POST for the request body but is non-mutating
(requires only `read` scope).
**Request body:**
```json
{
"query": "authentication",
"type": "project",
"scope": "",
"scope_id": "",
"limit": 20
}
```
| Field | Type | Required | Default | Description |
|------------|--------|----------|---------|--------------------------------|
| `query` | string | yes | -- | Search query |
| `type` | string | no | `""` | Filter by type |
| `scope` | string | no | `""` | Filter by scope |
| `scope_id` | string | no | `""` | Filter by scope ID |
| `limit` | int | no | `20` | Max results (capped at 50) |
**Response:** `200`
```json
{
"memories": [
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "auth_patterns",
"description": "Authentication architecture",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "JWT tokens with HS256...",
"created": "2026-03-10T10:00:00",
"updated": "2026-03-12T14:30:00"
}
],
"total": 1
}
```
---
### `DELETE /v1/api/memories/{name}`
Delete a memory by name and scope.
**Path parameters:**
| Parameter | Type | Description |
|-----------|--------|----------------------|
| `name` | string | Memory name |
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|------------|--------|----------|------------|---------------------|
| `scope` | string | no | `"global"` | Scope of the memory |
| `scope_id` | string | no | `""` | Scope qualifier |
**Response (success):** `200`
```json
{"status": "ok", "name": "deployment_process"}
```
**Response (not found):** `404`
```json
{"error": "Memory 'deployment_process' not found"}
```
---
## Console Admin API
Four admin endpoints for cross-workstream memory management. All require the
`admin.memories` permission.
### `GET /v1/api/admin/memories`
List memories across all scopes (no automatic scope resolution).
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|------------|--------|----------|---------|------------------------------|
| `type` | string | no | `""` | Filter by type |
| `scope` | string | no | `""` | Filter by scope |
| `scope_id` | string | no | `""` | Filter by scope ID |
| `limit` | int | no | `100` | Max results (capped at 200) |
**Response:** `200`
```json
{
"memories": [
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "project_architecture",
"description": "Core architecture patterns",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "The project uses...",
"created": "2026-03-10T10:00:00",
"updated": "2026-03-12T14:30:00"
}
],
"total": 1
}
```
---
### `GET /v1/api/admin/memories/search`
Search memories by query (uses query parameters, not POST body).
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|------------|--------|----------|---------|-------------------------------|
| `q` | string | yes | -- | Search query |
| `type` | string | no | `""` | Filter by type |
| `scope` | string | no | `""` | Filter by scope |
| `scope_id` | string | no | `""` | Filter by scope ID |
| `limit` | int | no | `20` | Max results (capped at 50) |
**Response:** `200` -- same schema as `GET /v1/api/admin/memories`.
---
### `GET /v1/api/admin/memories/{memory_id}`
Get a single memory by ID.
**Path parameters:**
| Parameter | Type | Description |
|-------------|--------|------------------------|
| `memory_id` | string | Memory UUID |
**Response (success):** `200`
```json
{
"memory_id": "a1b2c3d4-e5f6-...",
"name": "project_architecture",
"description": "Core architecture patterns",
"type": "project",
"scope": "global",
"scope_id": "",
"content": "The project uses...",
"created": "2026-03-10T10:00:00",
"updated": "2026-03-12T14:30:00"
}
```
**Response (not found):** `404`
```json
{"error": "Memory not found"}
```
---
### `DELETE /v1/api/admin/memories/{memory_id}`
Delete a memory by ID. Records an audit event (`memory.delete`).
**Path parameters:**
| Parameter | Type | Description |
|-------------|--------|------------------------|
| `memory_id` | string | Memory UUID |
**Response (success):** `200`
```json
{"status": "ok"}
```
**Response (not found):** `404`
```json
{"error": "Memory not found"}
```
---
## SDK
### Python
The server SDK uses `mem_type` (not `type`) to avoid shadowing the Python
builtin.
```python
from turnstone.sdk import TurnstoneServer
with TurnstoneServer("http://localhost:8080", token="tok_xxx") as client:
# Save a memory
mem = client.save_memory(
"api_conventions",
"All endpoints use /v1/ prefix. JSON responses.",
description="API design patterns",
mem_type="project",
scope="global",
)
print(mem.memory_id)
# Search memories
results = client.search_memories("authentication", mem_type="project", limit=10)
for m in results.memories:
print(f"{m['name']}: {m['description']}")
# List memories
all_mems = client.list_memories(mem_type="feedback", limit=50)
# Delete a memory
client.delete_memory("api_conventions", scope="global")
```
Console admin SDK:
```python
from turnstone.sdk import TurnstoneConsole
with TurnstoneConsole("http://localhost:9090", token="tok_xxx") as admin:
# List all memories (admin view, no scope auto-resolution)
result = admin.list_memories(scope="global", limit=100)
# Search
result = admin.search_memories("architecture", mem_type="project")
# Get by ID
mem = admin.get_memory("a1b2c3d4-e5f6-...")
# Delete by ID
admin.delete_memory("a1b2c3d4-e5f6-...")
```
### TypeScript
```typescript
import { TurnstoneServer } from "@turnstone/sdk";
const client = new TurnstoneServer({
baseUrl: "http://localhost:8080",
token: "tok_xxx",
});
// Save a memory
const mem = await client.saveMemory({
name: "api_conventions",
content: "All endpoints use /v1/ prefix. JSON responses.",
description: "API design patterns",
type: "project",
scope: "global",
});
// Search memories
const results = await client.searchMemories({
query: "authentication",
type: "project",
limit: 10,
});
// List memories
const all = await client.listMemories({ type: "feedback", limit: 50 });
// Delete a memory
await client.deleteMemory("api_conventions", { scope: "global" });
```
Console admin SDK:
```typescript
import { TurnstoneConsole } from "@turnstone/sdk";
const admin = new TurnstoneConsole({
baseUrl: "http://localhost:9090",
token: "tok_xxx",
});
// List, search, get, delete by ID
const mems = await admin.listMemories({ scope: "global" });
const found = await admin.searchMemories({ q: "auth", limit: 20 });
const one = await admin.getMemory("a1b2c3d4-e5f6-...");
await admin.deleteMemory("a1b2c3d4-e5f6-...");
```
---
## Storage
Memories are stored in the `structured_memories` table (migration 013).
The unique constraint on `(name, scope, scope_id)` ensures upsert semantics.
The name is normalized on save: lowercased, hyphens and spaces replaced with
underscores.
## Architecture
See [Memory Architecture diagram](diagrams/png/23-memory-architecture.png) for
the full data flow covering the session tool path, API path, admin path, and
BM25 relevance injection.
+85 -18
View File
@@ -15,8 +15,10 @@ The Python SDK is included in the `turnstone` package — no extra install requi
```python
from turnstone.sdk import TurnstoneServer
# Synchronous client
with TurnstoneServer("http://localhost:8080", token="tok_xxx") as client:
# Synchronous client — login with username/password
with TurnstoneServer("http://localhost:8080") as client:
client.login(username="alice", password="s3cret")
# Create a workstream
ws = client.create_workstream(name="Analysis")
@@ -33,6 +35,15 @@ with TurnstoneServer("http://localhost:8080", token="tok_xxx") as client:
client.close_workstream(ws.ws_id)
```
Alternatively, authenticate with an API token:
```python
with TurnstoneServer("http://localhost:8080") as client:
client.login(token="ts_abc123...")
ws = client.create_workstream(name="CI run")
result = client.send_and_wait("Run the test suite.", ws.ws_id)
```
### Async Client
```python
@@ -40,7 +51,8 @@ import asyncio
from turnstone.sdk import AsyncTurnstoneServer
async def main():
async with AsyncTurnstoneServer("http://localhost:8080", token="tok_xxx") as client:
async with AsyncTurnstoneServer("http://localhost:8080") as client:
await client.login(username="alice", password="s3cret")
ws = await client.create_workstream(name="demo")
async for event in client.stream_events(ws.ws_id):
if event.type == "content":
@@ -57,18 +69,21 @@ Both `TurnstoneServer` (sync) and `AsyncTurnstoneServer` (async) expose:
|----------|--------|---------|
| **Workstreams** | `list_workstreams()` | `ListWorkstreamsResponse` |
| | `dashboard()` | `DashboardResponse` |
| | `create_workstream(*, name, model, auto_approve)` | `CreateWorkstreamResponse` |
| | `create_workstream(*, name, model, auto_approve, ws_template)` | `CreateWorkstreamResponse` |
| | `close_workstream(ws_id)` | `StatusResponse` |
| **Chat** | `send(message, ws_id)` | `SendResponse` |
| | `approve(*, ws_id, approved, feedback, always)` | `StatusResponse` |
| | `plan_feedback(*, ws_id, feedback)` | `StatusResponse` |
| | `command(*, ws_id, command)` | `StatusResponse` |
| | `cancel(ws_id)` | `StatusResponse` |
| **Streaming** | `stream_events(ws_id)` | `Iterator[ServerEvent]` |
| | `stream_global_events()` | `Iterator[ServerEvent]` |
| **High-level** | `send_and_wait(message, ws_id, *, timeout, on_event)` | `TurnResult` |
| **Sessions** | `list_sessions()` | `ListSessionsResponse` |
| **Auth** | `login(token)` | `AuthLoginResponse` |
| **Saved** | `list_saved_workstreams()` | `ListSavedWorkstreamsResponse` |
| **Auth** | `login(username=..., password=...)` | `AuthLoginResponse` |
| | `login(token="ts_xxx")` | `AuthLoginResponse` |
| | `logout()` | `StatusResponse` |
| | `auth_status()` | `AuthStatusResponse` |
| **Health** | `health()` | `HealthResponse` |
### Console Client API
@@ -81,9 +96,23 @@ Both `TurnstoneConsole` (sync) and `AsyncTurnstoneConsole` (async) expose:
| | `nodes(*, sort, limit, offset)` | `ClusterNodesResponse` |
| | `workstreams(*, state, node, search, sort, page, per_page)` | `ClusterWorkstreamsResponse` |
| | `node_detail(node_id)` | `NodeDetailResponse` |
| | `create_workstream(*, node_id, name, model, initial_message)` | `ConsoleCreateWsResponse` |
| | `snapshot()` | `ClusterSnapshotResponse` |
| | `create_workstream(*, node_id, name, model, initial_message, ws_template)` | `ConsoleCreateWsResponse` |
| **Schedules** | `list_schedules()` | `ListSchedulesResponse` |
| | `create_schedule(*, name, schedule_type, initial_message, ...)` | `ScheduleInfo` |
| | `get_schedule(task_id)` | `ScheduleInfo` |
| | `update_schedule(task_id, *, name=..., enabled=..., ...)` | `ScheduleInfo` |
| | `delete_schedule(task_id)` | `StatusResponse` |
| | `list_schedule_runs(task_id, *, limit=50)` | `ListScheduleRunsResponse` |
| **WS Templates** | `list_ws_templates()` | `ListWsTemplatesResponse` |
| | `create_ws_template(*, name, description, ...)` | `WsTemplateInfo` |
| | `get_ws_template(template_id)` | `WsTemplateInfo` |
| | `update_ws_template(template_id, *, name=..., enabled=..., ...)` | `WsTemplateInfo` |
| | `delete_ws_template(template_id)` | `StatusResponse` |
| | `list_ws_template_versions(template_id)` | `ListWsTemplateVersionsResponse` |
| **Streaming** | `stream_cluster_events()` | `Iterator[ClusterEvent]` |
| **Auth** | `login(token)` / `logout()` | `AuthLoginResponse` / `StatusResponse` |
| **Auth** | `login(username=..., password=...)` / `login(token="ts_xxx")` | `AuthLoginResponse` |
| | `logout()` | `StatusResponse` |
| **Health** | `health()` | `ConsoleHealthResponse` |
### Event Types
@@ -107,6 +136,7 @@ SSE events are deserialized into typed dataclasses. Use `event.type` to discrimi
| `error` | `ErrorEvent` | `message` |
| `info` | `InfoEvent` | `message` |
| `stream_end` | `StreamEndEvent` | — |
| `cancelled` | `CancelledEvent` | — |
**Global events** (from `stream_global_events()`):
@@ -125,6 +155,9 @@ SSE events are deserialized into typed dataclasses. Use `event.type` to discrimi
| `node_lost` | `NodeLostEvent` | `node_id` |
| `cluster_state` | `ClusterStateEvent` | `ws_id`, `node_id`, `state`, `tokens` |
| `ws_created` | `ClusterWsCreatedEvent` | `ws_id`, `node_id`, `name` |
| `ws_closed` | `ClusterWsClosedEvent` | `ws_id` |
| `ws_rename` | `ClusterWsRenameEvent` | `ws_id`, `name` |
| `snapshot` | `ClusterSnapshotEvent` | `nodes`, `overview`, `timestamp` |
### TurnResult
@@ -165,10 +198,11 @@ Located at `sdk/typescript/`. Zero runtime dependencies for browsers; uses nativ
```typescript
import { TurnstoneServer } from "@turnstone/sdk";
const client = new TurnstoneServer({
baseUrl: "http://localhost:8080",
token: "tok_xxx",
});
const client = new TurnstoneServer({ baseUrl: "http://localhost:8080" });
// Login with username/password or API token
await client.login({ username: "alice", password: "s3cret" });
// or: await client.login({ token: "ts_abc123..." });
// Create workstream and send message
const ws = await client.createWorkstream({ name: "demo" });
@@ -188,16 +222,14 @@ for await (const event of client.streamEvents(ws.ws_id)) {
```typescript
import { TurnstoneConsole } from "@turnstone/sdk";
const console = new TurnstoneConsole({
baseUrl: "http://localhost:8081",
token: "tok_xxx",
});
const client = new TurnstoneConsole({ baseUrl: "http://localhost:8090" });
await client.login({ username: "alice", password: "s3cret" });
const overview = await console.overview();
const overview = await client.overview();
console.log(`Nodes: ${overview.nodes}, Workstreams: ${overview.workstreams}`);
// Stream cluster events
for await (const event of console.clusterEvents()) {
for await (const event of client.clusterEvents()) {
console.log(event.type, event);
}
```
@@ -256,3 +288,38 @@ sdk/typescript/ TypeScript SDK (npm package)
The Python SDK reuses Pydantic models from `turnstone/api/` directly — no schema duplication. The TypeScript SDK has hand-written interfaces matching those models.
Both SDKs follow the same design: typed methods for REST endpoints, async iterators for SSE streams, and a high-level `send_and_wait` method for simple request-response patterns.
---
## Authentication
When auth is enabled on the server, the SDK handles JWT-based authentication automatically.
### Login Flow
There are two ways to authenticate:
1. **Username + password** — calls `POST /v1/api/auth/login` with credentials. The server validates against the user database and returns a JWT.
2. **API token** — calls `POST /v1/api/auth/login` with a `ts_`-prefixed token string. The server looks up the token, resolves the associated user, and returns a JWT.
In both cases the server returns the JWT in the response body and as a `Set-Cookie` header. The SDK extracts the JWT and includes it as a `Bearer` token in the `Authorization` header on all subsequent requests.
```python
# Username + password
client.login(username="alice", password="s3cret")
# API token (created via admin API or turnstone-admin CLI)
client.login(token="ts_abc123...")
```
### Token Lifecycle
- JWTs have a configurable expiry (default: 24 hours).
- `client.auth_status()` returns the current user identity and scopes without refreshing the token.
- `client.logout()` clears the stored JWT from the client.
- If a request returns 401, the SDK raises `TurnstoneAPIError` — the caller is responsible for re-authenticating.
### Backward Compatibility
The config-file token (`TURNSTONE_AUTH_TOKEN`) still works as a simple Bearer token for environments that do not use the user/JWT system. When the server receives a non-JWT Bearer token, it falls back to the legacy token check.
+485
View File
@@ -0,0 +1,485 @@
# Security and Authentication
Turnstone uses a layered authentication system with three token types,
hierarchical scopes, and a split architecture where the console manages
credentials while individual server nodes validate JWTs locally.
---
## Token Types
### Config-file tokens
Static tokens defined in `config.toml` or the `TURNSTONE_AUTH_TOKEN`
environment variable. Validated in-memory using `hmac.compare_digest`
(timing-safe). Each token maps to a role that determines its scopes.
```toml
[[auth.tokens]]
value = "tok_legacy"
role = "full" # full → {read, write, approve}
```
Role mappings: `"read"``{read}`, `"full"``{read, write, approve}`.
Config tokens are sent directly as `Authorization: Bearer tok_legacy`
on every request. No JWT exchange is needed.
### API tokens
Database-backed tokens prefixed with `ts_`. Created via the admin CLI
(`turnstone-admin create-token`) or the console admin API. Stored as
SHA-256 hashes — the raw token is shown exactly once at creation and
never persisted in plaintext.
```
$ turnstone-admin create-token --user abc123 --scopes read,write --name "CI bot"
Token created: ts_a1b2c3d4e5f6...
(save this — it will not be shown again)
```
API tokens can be used directly as `Bearer ts_xxx` headers or exchanged
for a JWT via the login endpoint.
### JWTs
Short-lived session tokens (24 hours by default). Issued after
authenticating with username/password or by exchanging an API token.
HS256-signed with a shared secret. Validated locally on every service
node — no database call per request.
Claims:
| Claim | Description |
|-------|-------------|
| `sub` | User ID |
| `scopes` | Comma-separated scope list (`read,write,approve`) |
| `src` | Token source (`password`, `api_token`, `config`) |
| `iss` | Issuer — always `turnstone` |
| `aud` | Audience — `turnstone-server` or `turnstone-console` |
| `iat` | Issued-at timestamp |
| `exp` | Expiry timestamp |
The `aud` claim prevents cross-service token reuse — a JWT issued for the
console cannot be used to authenticate against a server node, and vice versa.
Tokens without an `aud` claim are accepted during the rollout window when
`audience` validation is not specified.
---
## Scope Model
Scopes are hierarchical — higher scopes imply all lower ones.
| Scope | Grants | Implies |
|-------|--------|---------|
| `read` | View workstreams, saved workstreams, history | — |
| `write` | Send messages, create/close workstreams | `read` |
| `approve` | Approve tool calls, admin endpoints | `read`, `write` |
### Path-to-scope mapping
| Method | Path pattern | Required scope |
|--------|-------------|----------------|
| GET | Any protected path | `read` |
| POST | `/api/send`, `/api/plan`, `/api/command` | `write` |
| POST | `/api/workstreams/new`, `/api/workstreams/close` | `write` |
| POST | `/api/cluster/workstreams/new` | `write` |
| POST | `/api/approve` | `approve` |
| Any | `/api/admin/*` | `approve` |
Public paths bypass authentication entirely: `/`, `/health`, `/metrics`,
`/static/*`, `/shared/*`, `/docs`, `/openapi.json`, `/api/auth/login`,
`/api/auth/logout`, `/api/auth/status`, `/api/auth/setup`.
### RBAC (Granular Permissions)
> See also: [Governance documentation](governance.md)
Scopes provide coarse endpoint-level access control. For finer-grained
enforcement, the governance layer adds 15 named permissions checked
per-endpoint by `require_permission()`. Permissions are bundled into
roles; users are assigned roles via the `user_roles` join table.
At login, `_load_user_permissions()` aggregates all permissions from
the user's assigned roles. `_permissions_to_scopes()` derives legacy
scopes for backward compatibility (e.g., any `admin.*` permission
implies the `approve` scope). The JWT carries both `scopes` and
`permissions` claims.
Three built-in roles are seeded by migration 008:
| Role | Permissions |
|------|-------------|
| admin | All 15 permissions |
| operator | read, write, workstreams.create, workstreams.close |
| viewer | read |
Custom roles can be created with any subset of the valid permissions.
Role creation and update validate permissions against a static allowlist.
Self-assignment is blocked, and assigning a role requires the caller to
hold a superset of the target role's permissions.
---
## Login Flows
### Username and password
```
POST /v1/api/auth/login
Content-Type: application/json
{"username": "admin", "password": "s3cret"}
```
Returns a JWT in the response body and sets an `HttpOnly` session cookie.
### API token exchange
```
POST /v1/api/auth/login
Content-Type: application/json
{"token": "ts_a1b2c3d4e5f6..."}
```
The API token is hashed, looked up in the database, and exchanged for a
JWT with the token's scopes. This is the recommended flow for SDKs and
automated clients that need cookie-based sessions.
### Config-file tokens (direct)
Config tokens are validated per-request via `hmac.compare_digest`. No
login exchange is needed — include the token as a `Bearer` header:
```
Authorization: Bearer tok_legacy
```
### First-time setup
When no users exist in the database:
1. `GET /v1/api/auth/status` returns `{"setup_required": true}`
2. The UI presents a setup wizard
3. `POST /v1/api/auth/setup` creates the first admin user and returns a
JWT in one atomic step (no auth required — this is a public endpoint)
4. The endpoint returns `409 Conflict` if setup has already been completed
(i.e. users already exist in the database)
5. Subsequent admin requests require `approve` scope
The `/api/auth/setup` endpoint is available on both the server and
console. It validates input before creating the user:
- **username**: 1-64 ASCII characters
- **display_name**: required (non-empty)
- **password**: minimum 8 characters
```
POST /v1/api/auth/setup
Content-Type: application/json
{"username": "admin", "display_name": "Admin", "password": "strongpass"}
```
Response:
```json
{
"status": "ok",
"user_id": "u_abc123",
"username": "admin",
"role": "full",
"scopes": "approve,read,write",
"jwt": "eyJhbGciOiJIUzI1NiIs..."
}
```
The response also sets an `HttpOnly` session cookie containing the JWT,
so the browser is immediately authenticated after setup completes.
---
## Token Detection Order
The auth middleware inspects the `Authorization: Bearer <token>` header
and classifies the token:
1. **Contains `.`** → JWT → validate HS256 signature and expiry
2. **Starts with `ts_`** → API token → SHA-256 hash, database lookup
3. **Otherwise** → config-file token → `hmac.compare_digest` against
each configured token
If a session cookie is present and no `Authorization` header is sent,
the cookie value is treated as a JWT (step 1).
---
## Password Storage
Passwords are hashed with **bcrypt** using a random salt per password.
Plaintext passwords are only accepted over HTTPS in production
deployments.
---
## Cookie Security
| Attribute | Value | Purpose |
|-----------|-------|---------|
| `HttpOnly` | `true` | Prevents JavaScript access |
| `SameSite` | `Lax` | CSRF protection |
| `Path` | `/` | Available to all routes |
| `Max-Age` | 24 hours | Matches JWT expiry |
| `Secure` | `true` (default) | Always set unless explicitly disabled for dev |
---
## JWT Configuration
| Setting | Config key | Env var | Default |
|---------|-----------|---------|---------|
| Signing secret | `[auth] jwt_secret` | `TURNSTONE_JWT_SECRET` | Auto-generated ephemeral (warning logged) |
| Expiry | `[auth] jwt_expiry_hours` | — | 24 hours |
| Algorithm | — | — | HS256 (not configurable) |
| Minimum secret length | — | — | 32 characters (warning if shorter) |
All service nodes that need to validate JWTs must share the same signing
secret. If no secret is configured, an ephemeral key is generated at
startup and a warning is logged — JWTs will not survive restarts or work
across nodes.
The bridge and console **require** `TURNSTONE_JWT_SECRET` when no
`--auth-token` is provided. They exit with an error if the secret is
missing, since ephemeral secrets would silently break inter-service
communication.
---
## Admin API Endpoints
All admin endpoints require `approve` scope.
### Users
| Method | Path | Description |
|--------|------|-------------|
| POST | `/v1/api/admin/users` | Create user (username, display_name, password) |
| GET | `/v1/api/admin/users` | List all users |
| DELETE | `/v1/api/admin/users/{user_id}` | Delete user and cascade tokens |
### API tokens
| Method | Path | Description |
|--------|------|-------------|
| POST | `/v1/api/admin/users/{user_id}/tokens` | Create API token (returns raw value once) |
| GET | `/v1/api/admin/users/{user_id}/tokens` | List tokens (prefix only, no hashes) |
| DELETE | `/v1/api/admin/tokens/{token_id}` | Revoke token |
---
## CLI Administration
The `turnstone-admin` command provides offline user and token management:
```
turnstone-admin create-user --username admin --name "Admin" [--password] [--token]
turnstone-admin create-token --user <user_id> --scopes read,write --name "CI bot"
turnstone-admin list-users
turnstone-admin list-tokens
turnstone-admin revoke-token <token_id>
```
When `--password` is omitted, the CLI prompts interactively. When
`--token` is passed to `create-user`, an API token is created alongside
the user and printed to stdout.
---
## Database Schema
```sql
CREATE TABLE users (
user_id TEXT PRIMARY KEY,
username TEXT NOT NULL UNIQUE,
display_name TEXT NOT NULL,
password_hash TEXT NOT NULL,
created TEXT NOT NULL
);
CREATE TABLE api_tokens (
token_id TEXT PRIMARY KEY,
token_hash TEXT NOT NULL, -- SHA-256 of raw token
token_prefix TEXT NOT NULL, -- first 8 chars for display
user_id TEXT NOT NULL REFERENCES users(user_id),
name TEXT NOT NULL,
scopes TEXT NOT NULL, -- comma-separated
created TEXT NOT NULL,
expires TEXT -- nullable, ISO 8601
);
CREATE UNIQUE INDEX ix_api_tokens_hash ON api_tokens(token_hash);
CREATE TABLE channel_users (
channel_type TEXT NOT NULL,
channel_user_id TEXT NOT NULL,
user_id TEXT NOT NULL REFERENCES users(user_id),
created TEXT NOT NULL,
PRIMARY KEY (channel_type, channel_user_id)
);
```
The `sessions` and `workstreams` tables have a nullable `user_id`
column for attribution when auth is enabled.
---
## Revocation
- **API tokens**: Deleting a token via the admin API or CLI prevents new
JWTs from being issued with that token. Existing JWTs derived from the
token remain valid until they expire (at most 24 hours).
- **Config-file tokens**: Remove the token from `config.toml` and
restart the service. No JWTs are involved, so revocation is immediate.
- **JWTs**: Cannot be individually revoked. Rely on short expiry (24h)
and revoke the underlying credential to prevent renewal.
---
## Architecture
```
Console (cluster-wide) Server (per-node)
┌──────────────────────┐ ┌──────────────────────┐
│ User/Token CRUD (DB) │ │ JWT validation only │
│ Login: creds → JWT │ │ (shared signing key) │
│ Admin API endpoints │ │ Config tokens: hmac │
│ Storage: users, │ │ No auth DB needed │
│ api_tokens tables │ │ │
└──────────────────────┘ └──────────────────────┘
```
The console owns the credential database and handles all user/token
CRUD. Individual server nodes only need the JWT signing secret to
validate session tokens. Config-file tokens are validated locally
without any database.
### Proxy auth forwarding
When the console proxies requests to server nodes (via `/node/{id}/...`
routes), it uses a dedicated **service proxy token** with
`aud: turnstone-server` and `write` scope. The user's console JWT
(which has `aud: turnstone-console`) is **not** forwarded — it would be
rejected by the server's audience validation.
The proxy token is managed by a `ServiceTokenManager` that auto-rotates
1-hour JWTs, refreshing at 80% of lifetime. If `--auth-token` is
provided, that static token is used instead.
### Service-to-service authentication
The bridge and console collector use `ServiceTokenManager` for
auto-rotating JWTs when communicating with server nodes:
| Service | Identity | Scope | Audience | Purpose |
|---------|----------|-------|----------|---------|
| Bridge | `bridge` | `approve` | `turnstone-server` | Tool approval proxy, message relay |
| Console collector | `console-collector` | `read` | `turnstone-server` | Node health polling |
| Console proxy | `console-proxy` | `write` | `turnstone-server` | Proxied API calls |
| Channel notify | `system` | `write` | `turnstone-channel` | Notification delivery to channel gateway |
Service tokens use 1-hour expiry with automatic refresh via
`ServiceTokenManager`. The bridge injects auth headers per-request via
httpx event hooks to ensure rotated tokens are picked up on SSE
reconnects.
Note that the channel gateway uses a distinct JWT audience
(`turnstone-channel`) from the server (`turnstone-server`) and console
(`turnstone-console`). A server-scoped JWT cannot authenticate to the
channel gateway endpoint, and vice versa.
---
## Configuration Reference
### config.toml
```toml
[auth]
enabled = true
jwt_secret = "your-secret-key-here"
jwt_expiry_hours = 24
[[auth.tokens]]
value = "tok_legacy"
role = "full"
```
### Environment variables
| Variable | Description |
|----------|-------------|
| `TURNSTONE_AUTH_ENABLED=1` | Enable authentication |
| `TURNSTONE_AUTH_TOKEN=tok_xxx` | Register a config-file token with `full` access |
| `TURNSTONE_JWT_SECRET=xxx` | JWT signing secret (must match across nodes) |
| `TURNSTONE_CORS_ORIGINS=` | CORS allowed origins (comma-separated; empty = same-origin only) |
---
## Login Rate Limiting
The `/api/auth/login` endpoint is protected by a dedicated
`LoginRateLimiter` (separate from the general API rate limiter).
Limits are enforced per-IP and per-username with a sliding window:
- **5 attempts** per **5-minute window** per key
- Failed logins record against both `ip:{client_ip}` and `user:{username}`
- Returns `429 Too Many Requests` with `Retry-After` header when exceeded
- Successful logins do not consume the budget
---
## CORS Policy
By default, no CORS headers are sent (same-origin only). To allow
cross-origin requests, set `TURNSTONE_CORS_ORIGINS`:
```bash
# Allow specific origins
TURNSTONE_CORS_ORIGINS=https://app.example.com,https://admin.example.com
# Allow all origins (development only)
TURNSTONE_CORS_ORIGINS=*
```
When the variable is empty or unset, the CORS middleware is not added
and browsers enforce same-origin policy.
---
## Security Properties
- **Timing-safe comparison** for config-file tokens via
`hmac.compare_digest` — no timing side-channel.
- **Hash-based lookup** for API tokens — the database stores only
SHA-256 hashes, eliminating timing attacks on token comparison.
- **Local JWT validation** — no network call or database query needed
per request on server nodes.
- **One-time display** of raw API tokens at creation. The plaintext is
never stored; `token_hash` never appears in API responses or logs.
- **Structured logging audit trail**`ctx_user_id` is set on every
authenticated request and injected into all log events.
- **Scope enforcement** at the middleware layer before any handler
executes. Path-to-scope mapping is defined statically.
- **JWT audience isolation** — server and console JWTs have distinct
`aud` claims, preventing cross-service token reuse.
- **Login brute-force protection** — per-IP and per-username rate
limiting on the login endpoint.
- **Secure cookies by default**`Secure` flag set unconditionally;
24-hour max-age matches JWT expiry.
- **CORS restriction** — no CORS headers by default (same-origin only).
- **Service JWT auto-rotation** — 1-hour expiry with transparent
refresh, eliminating long-lived static tokens for inter-service auth.
- **Secret strength validation** — warning logged when JWT secret is
shorter than 32 characters.
+353
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@@ -0,0 +1,353 @@
# System Settings
> See also: [Settings Architecture diagram](diagrams/png/24-settings-architecture.png)
The system settings feature provides database-backed configuration for server
nodes. Settings are stored in the `system_settings` table and managed through
the admin API or console Settings tab. This replaces `config.toml` for
non-bootstrap settings on server entry points, while the CLI continues to read
`config.toml` directly.
## Overview
Settings follow a typed registry pattern: every storable setting has a
`SettingDef` entry in `settings_registry.py` with type, default, description,
validation constraints, and a `restart_required` flag. Unknown keys are rejected
at the API boundary.
At runtime, `ConfigStore` loads all settings from storage into an in-memory
cache. Reads are lock-free dict lookups on an immutable snapshot. Writes acquire
a lock, persist to storage, and swap the cache atomically.
---
## Precedence
Settings resolution differs between entry points:
| Entry point | Chain |
|-------------|-------|
| **Server** (`turnstone-server`, `turnstone-bridge`) | CLI flag > ConfigStore > registry default |
| **CLI** (`turnstone`) | CLI flag > config.toml > argparse default |
The server's `apply_config()` ignores config.toml sections that overlap with
ConfigStore. A startup warning is logged for each overlapping key, directing
users to the admin Settings API.
---
## Bootstrap vs ConfigStore
**Bootstrap settings** are required before storage is available (database
connection, Redis, auth secrets, server bind address). These stay in
`config.toml` and environment variables.
| Category | Section | Where |
|----------|---------|-------|
| API credentials | `[api]` | config.toml / env |
| Database | `[database]` | config.toml / env |
| Redis | `[redis]` | config.toml / env |
| Auth | `[auth]` | config.toml / env |
| Bridge identity | `[bridge]` | config.toml / env |
| Console bind | `[console]` | config.toml / env |
**ConfigStore settings** (~40 settings) are loaded from the database after
storage initialization:
| Section | Settings |
|---------|----------|
| `model` | name, temperature, max_tokens, reasoning_effort, context_window |
| `session` | instructions, retention_days, compact_max_tokens, auto_compact_pct |
| `tools` | timeout, truncation, agent_max_turns, skip_permissions, search, search_threshold, search_max_results |
| `server` | workstream_idle_timeout, max_workstreams |
| `mcp` | config_path, refresh_interval |
| `ratelimit` | enabled, requests_per_second, burst |
| `health` | backend_probe_interval, backend_probe_timeout, circuit_breaker_threshold, circuit_breaker_cooldown |
| `judge` | enabled, model, provider, base_url, api_key, confidence_threshold, max_context_ratio, timeout, read_only_tools |
| `memory` | relevance_k, fetch_limit, max_content, nudge_cooldown, nudges |
Settings are addressed by dotted key (e.g. `memory.relevance_k`). Each has a
declared type (`int`, `float`, `str`, `bool`), optional `min_value`/`max_value`
range, optional `choices` list, and an `is_secret` flag.
---
## Storage
The `system_settings` table (migration 015) stores settings as JSON-encoded
values with a composite primary key of `(key, node_id)`:
| Column | Type | Description |
|--------|------|-------------|
| `key` | text | Dotted setting key (e.g. `model.temperature`) |
| `value` | text | JSON-encoded value |
| `node_id` | text | Node ID for per-node overrides (empty string = global) |
| `is_secret` | int | 1 if the setting contains secrets |
| `changed_by` | text | Username of last editor |
| `created` | text | ISO timestamp |
| `updated` | text | ISO timestamp |
Per-node overrides layer on top of global settings. When `ConfigStore` loads,
it fetches global settings first, then overlays per-node values.
---
## Admin API
Four endpoints on the **console** server, all requiring the `admin.settings`
permission.
### `GET /v1/api/admin/settings`
List all settings with their effective values, defaults, and metadata.
**Response:** `200`
```json
{
"settings": [
{
"key": "model.temperature",
"value": 0.7,
"source": "storage",
"type": "float",
"description": "Sampling temperature",
"section": "model",
"is_secret": false,
"node_id": "",
"changed_by": "admin",
"updated": "2026-03-14T10:00:00",
"restart_required": false
}
]
}
```
---
### `GET /v1/api/admin/settings/schema`
Return the full registry catalog (all defined settings with metadata). Useful
for building dynamic admin UIs.
**Response:** `200`
```json
{
"schema": [
{
"key": "model.temperature",
"type": "float",
"default": 0.5,
"description": "Sampling temperature",
"section": "model",
"is_secret": false,
"min_value": 0.0,
"max_value": 2.0,
"choices": null,
"restart_required": false
}
]
}
```
---
### `PUT /v1/api/admin/settings/{key}`
Update a setting. The value is validated against the registry (type coercion,
range, choices). Secret settings (`is_secret=true`) cannot be written via the
API -- they must be configured via config.toml or environment variables.
**Path parameters:**
| Parameter | Type | Description |
|-----------|--------|-------------|
| `key` | string | Dotted setting key (e.g. `model.temperature`) |
**Request body:**
```json
{
"value": 0.7,
"node_id": ""
}
```
| Field | Type | Required | Default | Description |
|-----------|--------|----------|---------|-------------|
| `value` | any | yes | -- | New value (type-coerced against registry) |
| `node_id` | string | no | `""` | Node ID for per-node override |
**Response (success):** `200`
```json
{
"key": "model.temperature",
"value": 0.7,
"source": "storage",
"type": "float",
"description": "Sampling temperature",
"section": "model",
"is_secret": false,
"node_id": "",
"changed_by": "admin",
"updated": "",
"restart_required": false
}
```
**Errors:**
| Status | Condition |
|--------|-----------|
| 400 | Unknown key, invalid value, type mismatch, out of range |
| 403 | Secret setting (must use config.toml or env) |
---
### `DELETE /v1/api/admin/settings/{key}`
Reset a setting to its registry default by removing it from storage.
**Path parameters:**
| Parameter | Type | Description |
|-----------|--------|-------------|
| `key` | string | Dotted setting key |
**Query parameters:**
| Parameter | Type | Required | Default | Description |
|-----------|--------|----------|---------|-------------|
| `node_id` | string | no | `""` | Node ID (empty = global) |
**Response (success):** `200`
```json
{"status": "ok", "key": "model.temperature", "default": 0.5}
```
**Response (not found):** `404`
```json
{"error": "Setting 'model.temperature' has no stored value"}
```
---
## Secret Settings
Settings with `is_secret=True` (currently only `judge.api_key`) are blocked
from the write API with a `403` response. This prevents accidental exposure
through the admin UI or audit logs. Secret settings must be configured via
`config.toml` or environment variables.
The list endpoint masks secret values: stored secrets appear as `"***"`
rather than their actual value.
---
## Hot Reload
`ConfigStore` caches all settings in memory for fast, lock-free reads. To
refresh the cache after external changes (e.g. direct database edits or
cluster-wide propagation):
```
POST /v1/api/_internal/config-reload
```
This triggers `ConfigStore.reload()`, which re-reads all settings from storage
and atomically swaps the cache. The `version` counter increments on every
reload.
**Behavior after reload:**
- New workstreams pick up updated values immediately (via `session_factory`)
- Existing sessions keep their frozen configuration (settings are captured at
workstream creation time, not read on every turn)
- Settings marked `restart_required=True` need a server restart to take effect
---
## Migration from config.toml
On startup, `warn_migrated_settings()` scans `config.toml` for keys that are
now managed by ConfigStore. Each overlap produces a warning:
```
WARNING config.toml [model] temperature is now managed via Settings API —
this value will be ignored. Use the admin Settings tab or
PUT /v1/api/admin/settings/model.temperature to configure.
```
To migrate:
1. Note the values from `config.toml` for sections that overlap with ConfigStore
2. Use `PUT /v1/api/admin/settings/{key}` or the console Settings tab to set
each value
3. Remove the migrated sections from `config.toml`
4. Restart the server to verify no warnings
---
## SDK
### Python
```python
from turnstone.sdk import TurnstoneConsole
with TurnstoneConsole("http://localhost:9090", token="tok_xxx") as admin:
# List all settings with effective values
result = admin.list_settings()
for s in result["settings"]:
print(f"{s['key']} = {s['value']} (source: {s['source']})")
# Get the schema catalog
schema = admin.get_settings_schema()
# Update a setting
admin.update_setting("model.temperature", value=0.7)
# Update with per-node override
admin.update_setting("model.temperature", value=0.3, node_id="node-2")
# Reset to default
admin.delete_setting("model.temperature")
```
### TypeScript
```typescript
import { TurnstoneConsole } from "@turnstone/sdk";
const admin = new TurnstoneConsole({
baseUrl: "http://localhost:9090",
token: "tok_xxx",
});
// List all settings
const result = await admin.listSettings();
for (const s of result.settings) {
console.log(`${s.key} = ${s.value} (source: ${s.source})`);
}
// Get schema catalog
const schema = await admin.getSettingsSchema();
// Update a setting
await admin.updateSetting("model.temperature", { value: 0.7 });
// Reset to default
await admin.deleteSetting("model.temperature");
```
---
## Architecture
See [Settings Architecture diagram](diagrams/png/24-settings-architecture.png)
for the full data flow covering server startup, admin API writes, hot reload,
and settings precedence.
+396 -35
View File
@@ -1,6 +1,6 @@
# Tools Reference
turnstone exposes 14 built-in tools plus any number of external MCP tools to the
turnstone exposes 17 built-in tools plus any number of external MCP tools to the
LLM via the OpenAI function-calling interface. Built-in tools are defined as JSON
files under `turnstone/tools/` and loaded at startup by `turnstone/core/tools.py`.
MCP tools are discovered from configured MCP servers at startup by
@@ -46,11 +46,12 @@ schema plus turnstone-specific metadata keys:
| Name | Description |
|---------------------|-------------|
| `TOOLS` | All 14 tool definitions (sent to the model). |
| `TOOLS` | All 17 tool definitions (sent to the model). |
| `AGENT_TOOLS` | Tools with `agent: true` -- available to plan sub-agents. Read-only tools. |
| `TASK_AGENT_TOOLS` | Tools with `task_agent: true` -- available to task sub-agents. Includes write operations. |
| `AGENT_AUTO_TOOLS` | Set of tool names with `auto_approve: true` -- no user confirmation needed. |
| `TASK_AUTO_TOOLS` | Same as `AGENT_AUTO_TOOLS` (identical filter). |
| `BUILTIN_TOOL_NAMES`| Frozenset of all 17 built-in tool names. Used by tool search to distinguish always-on tools from deferrable MCP tools. |
| `PRIMARY_KEY_MAP` | Dict mapping tool name to its `primary_key` parameter name. |
---
@@ -68,6 +69,9 @@ Tool execution follows a three-phase pipeline inside `ChatSession._execute_tools
- Parses the JSON arguments (with fallback for malformed JSON).
- If JSON parsing fails entirely, uses `PRIMARY_KEY_MAP` to map a bare string
to the correct parameter.
- Dispatches to the matching `_prepare_{func_name}()` handler. There are 17
built-in tools plus `tool_search` (synthetic, client-side BM25 fallback) and
the generic `_prepare_mcp_tool()` handler for MCP tools.
- Validates arguments and builds a preview dict containing:
- `call_id`, `func_name`, `header`, `preview` (for display)
- `needs_approval` (bool)
@@ -110,9 +114,9 @@ Each item's `execute` callable is invoked:
- `read_file` -- reads files, no side effects
- `search` -- grep-style search, no side effects
- `man` -- reads man pages, no side effects
- `remember` -- writes to persistent memory database (lightweight, always auto-approved)
- `recall` -- reads from persistent memory database
- `forget` -- deletes from persistent memory database (lightweight, always auto-approved)
- `memory` -- structured persistent memory (save/search/delete/list)
- `recall` -- searches conversation history
- `notify` -- sends notifications to linked channels (time-sensitive, auto-approved for urgency)
**Requires user confirmation** (write operations, network access, side effects):
- `bash` -- arbitrary command execution
@@ -159,9 +163,11 @@ Every tool defines a `primary_key`. The mapping is:
| `web_search` | `query` |
| `task` | `prompt` |
| `plan` | `prompt` |
| `remember` | `key` |
| `memory` | `name` |
| `recall` | `query` |
| `forget` | `key` |
| `notify` | `message` |
| `read_resource` | `uri` |
| `use_prompt` | `name` |
---
@@ -183,15 +189,17 @@ Execute a bash command and return stdout + stderr.
### read_file
Read the contents of a file, returning numbered lines.
Read the contents of a file, returning numbered lines for text files or
base64-encoded image data for supported image formats.
| Parameter | Type | Required | Description |
|-----------|---------|----------|-------------|
| `path` | string | yes | Absolute or relative file path. |
| `offset` | integer | no | Line number to start from (1-based, default: 1). |
| `limit` | integer | no | Maximum number of lines to read. Omit for full file. |
| `offset` | integer | no | Line number to start from (1-based, default: 1). Text files only. |
| `limit` | integer | no | Maximum number of lines to read. Omit for full file. Text files only. |
- **What it does**: Reads the file and returns content with line numbers. Must be called before `edit_file` on the same path (the session tracks which files have been read).
- **What it does**: For text files, reads and returns content with line numbers. For image files (PNG, JPEG, GIF, WebP, BMP, TIFF, ICO), returns image data as multi-part content when the model supports vision, or a text description when it does not. SVG files are read as text. Images larger than 4 MB are rejected. Must be called before `edit_file` on the same path (the session tracks which files have been read).
- **Vision support**: Controlled by `ModelCapabilities.supports_vision`. All commercial OpenAI and Anthropic models have vision enabled. Local models (vLLM, llama.cpp, NIM) default to off — enable via `[models.*.capabilities] supports_vision = true` in config.toml.
- **Auto-approve**: Yes.
- **Agent availability**: `agent` and `task_agent`.
@@ -335,7 +343,7 @@ Plan before implementing -- an autonomous agent explores the codebase and writes
|-----------|--------|----------|-------------|
| `prompt` | string | yes | What to plan -- the goal, constraints, and scope. |
- **What it does**: Spawns a planning sub-agent with `AGENT_TOOLS` (read-only tools: `read_file`, `search`, `math`, `man`, `web_fetch`, `web_search`). The agent explores the codebase and writes a structured plan to `.plan-<session_id>.md` (unique per session, so concurrent workstreams never collide). If the `plan` tool has been called before in the same session, the prior plan is passed to the agent as context so it refines rather than restarts. After completion, the user is prompted to review and can accept, reject, or annotate the plan.
- **What it does**: Spawns a planning sub-agent with `AGENT_TOOLS` (read-only tools: `read_file`, `search`, `math`, `man`, `web_fetch`, `web_search`). The agent explores the codebase and writes a structured plan to `.plan-<ws_id>.md` (unique per workstream, so concurrent workstreams never collide). If the `plan` tool has been called before in the same session, the prior plan is passed to the agent as context so it refines rather than restarts. After completion, the user is prompted to review and can accept, reject, or annotate the plan.
- **Auto-approve**: No -- requires user confirmation, plus post-execution review gate.
- **Agent availability**: Not available to sub-agents (top-level only).
@@ -343,16 +351,22 @@ Plan before implementing -- an autonomous agent explores the codebase and writes
## Memory
### remember
### memory
Save a persistent memory that persists across sessions.
Structured persistent memory across sessions with typed, scoped entries.
| Parameter | Type | Required | Description |
|-----------|--------|----------|-------------|
| `key` | string | yes | Short identifier (e.g. `user_name`). |
| `value` | string | yes | Content to remember. |
| Parameter | Type | Required | Description |
|---------------|---------|----------|-------------|
| `action` | string | yes | `save`, `search`, `delete`, or `list`. |
| `name` | string | save/delete | Short snake_case identifier for the memory. |
| `content` | string | save | Memory content to store. |
| `description` | string | no | Short description for relevance matching (recommended for `save`). |
| `type` | string | no | Memory type: `user`, `project`, `feedback`, or `reference`. Default: `project`. |
| `scope` | string | no | Memory scope: `global`, `workstream`, or `user`. Default: `global`. |
| `query` | string | search | Search query for finding memories. |
| `limit` | integer | no | Max results for `search` or `list`. Default: 20. |
- **What it does**: Stores a key-value pair in the SQLite memory database. Memories persist across sessions and are included in the system prompt on startup.
- **What it does**: Manages structured persistent memories in the database. Memories persist across sessions, have a type classification (user preferences, project knowledge, feedback, reference material) and a scope (global across all workstreams, private to a workstream, or following a user). Relevant memories are included in the system prompt on startup.
- **Auto-approve**: Yes.
- **Agent availability**: Not available to sub-agents (top-level only).
@@ -360,30 +374,118 @@ Save a persistent memory that persists across sessions.
### recall
Search memories and past conversations.
Search conversation history for past messages and tool results.
| Parameter | Type | Required | Description |
|-----------|---------|----------|-------------|
| `query` | string | no | Search term or phrase. Omit to list all memories. |
| `limit` | integer | no | Max conversation results to return (default 20). |
| `query` | string | yes | Search term or phrase to find in conversation history. |
| `limit` | integer | no | Max results to return (default 20). |
- **What it does**: With no query, lists all saved memories. With a query, searches both the memory store and conversation history using FTS5 full-text search.
- **What it does**: Searches conversation history across sessions using FTS5 full-text search. Returns matching messages, tool calls, and tool results with timestamps and workstream context.
- **Auto-approve**: Yes.
- **Agent availability**: Not available to sub-agents (top-level only).
---
### forget
## Notifications
Remove a persistent memory by key.
### notify
| Parameter | Type | Required | Description |
|-----------|--------|----------|-------------|
| `key` | string | yes | The memory key to remove (e.g. `user_name`). |
Send a notification to a user or channel on an external platform.
- **What it does**: Deletes the memory entry with the given key from the SQLite database.
- **Auto-approve**: Yes.
- **Agent availability**: Not available to sub-agents (top-level only).
| Parameter | Type | Required | Description |
|----------------|--------|----------|-------------|
| `message` | string | yes | Notification content (plain text, max 2000 chars). |
| `username` | string | no | Turnstone username — sends to all linked channels. |
| `channel_type` | string | no | Platform for direct targeting (`discord`). |
| `channel_id` | string | no | Platform-specific channel or user ID for direct targeting. |
| `title` | string | no | Optional short title (rendered as bold prefix). |
Provide either `username` for user-based targeting or `channel_type` +
`channel_id` for direct targeting. Do not combine both.
- **What it does**: Sends a notification via the channel gateway's HTTP endpoint (`POST /v1/api/notify`). The server queries the `services` table for healthy channel gateways, authenticates with a service JWT (`aud: turnstone-channel`), and delivers to the first healthy gateway. On failure, retries up to 2 additional times with backoff (1s, 3s). Rate-limited to 5 notifications per turn (counter only increments on success).
- **Auto-approve**: Yes — notifications are time-sensitive and auto-approved so the model can alert users urgently.
- **Agent availability**: `agent` and `task_agent`.
> See [Channel Integrations: Notifications](channels.md#notifications)
> for the full delivery flow, service registry details, and security
> measures.
---
### watch
Set up periodic polling of a shell command within the current workstream.
Results are injected back into the conversation as synthetic user messages,
triggering the model to respond and act. Use for monitoring CI/CD pipelines,
PR reviews, deployments, file changes, etc.
| Parameter | Type | Required | Description |
|-------------|---------|----------|-------------|
| `action` | string | yes | `create`, `list`, or `cancel`. |
| `command` | string | create | Shell command to poll periodically. |
| `poll_every`| string | no | Poll interval as duration (`30s`, `5m`, `1h`). Default: `5m`. |
| `stop_on` | string | no | Python expression for stop condition (see below). Omit for change detection. |
| `name` | string | create | Human-readable watch name (e.g. `pr-review`). Used as identifier for cancel. |
| `max_polls` | integer | no | Max poll cycles before auto-cancel. Default: 100. |
**Actions:**
- `create` — Start a new watch. Requires approval (same as bash — runs shell
commands). Persists to the `watches` table; the server-level `WatchRunner`
daemon polls every 15 seconds for due watches.
- `list` — Show all active watches in this workstream. Auto-approved.
- `cancel` — Stop a watch by name or ID prefix. Auto-approved.
**Stop condition DSL** — The `stop_on` parameter accepts a Python expression
evaluated after each poll. Available variables:
| Variable | Type | Description |
|---------------|------------|-------------|
| `output` | `str` | stdout (+stderr) of the command. |
| `data` | `Any` | `json.loads(output)`, or `None` if not valid JSON. |
| `exit_code` | `int` | Process exit code. |
| `prev_output` | `str|None` | Previous poll's stdout (`None` on first poll). |
| `changed` | `bool` | `True` if output differs from previous poll. |
Safe builtins: `len`, `str`, `int`, `float`, `bool`, `abs`, `min`, `max`,
`any`, `all`, `isinstance`, `sorted`. No `import`, `open`, `exec`, or
`eval`. Security model: equivalent to `bash` — the model already has shell
access.
**Examples:**
```
data["state"] == "MERGED"
"error" in output
exit_code != 0
changed and "ready" in output.lower()
data.get("mergedAt") is not None
```
**Lifecycle:**
1. Model calls `watch(action="create", ...)` — persisted to SQLite.
2. `WatchRunner` daemon polls for due watches every 15s.
3. Each poll runs the command, evaluates the condition.
4. When the condition fires (or max polls reached), the result is injected
as a synthetic user message and the watch auto-cancels.
5. If the workstream was evicted, it is restored before injection.
6. Watches survive server restart (overdue watches fire once on recovery).
**Constraints:**
- Max 5 active watches per workstream.
- Poll interval: 10s24h.
- Output truncated at 64 KB.
- Max 5 consecutive watch dispatches per worker thread (depth guard).
- Duplicate names rejected within the same workstream.
- **Auto-approve**: `create` requires approval; `list` and `cancel` are auto-approved.
- **Agent availability**: Main session only — not available to plan/task sub-agents.
> See [Watch Architecture](diagrams/png/18-watch-architecture.png) for the
> full poll → evaluate → dispatch flow.
---
@@ -402,14 +504,90 @@ Remove a persistent memory by key.
| `web_search` | Info | No | Yes | Yes | `query` |
| `task` | Agent | No | No | No | `prompt` |
| `plan` | Agent | No | No | No | `prompt` |
| `remember` | Memory | Yes | No | No | `key` |
| `memory` | Memory | Yes | No | No | `name` |
| `recall` | Memory | Yes | No | No | `query` |
| `forget` | Memory | Yes | No | No | `key` |
| `notify` | Notify | Yes | Yes | Yes | `message` |
| `watch` | Monitor | No (create) | No | No | `command` |
| `read_resource`| MCP | No | Yes | Yes | `uri` |
| `use_prompt` | MCP | No | Yes | Yes | `name` |
| `tool_search`| Search | Yes | No | No | `query` |
---
## Dynamic Tool Search
When many MCP tools are connected, the total tool count can grow large enough to
consume significant context window tokens and reduce model accuracy. Dynamic tool
search addresses this by deferring tools the model is unlikely to need on the
current turn and letting it search for them on demand.
### Three-tier approach
Tool search uses the best available mechanism for each provider:
1. **Anthropic (native)** -- Models that support it receive `defer_loading: true`
on deferred tool definitions plus the `tool_search_tool_bm25_20251119` server-side
search tool. Anthropic's API handles search and expansion transparently.
2. **OpenAI GPT-5.4+ (native)** -- Models with hosted tool search receive
`defer_loading: true` on deferred definitions. The API handles search internally.
3. **vLLM / llama.cpp / NIM (client-side BM25)** -- A synthetic `tool_search`
function tool is injected into the tool list. When the model calls it,
`_exec_tool_search()` runs a pure-Python BM25 index over tool names and
descriptions, then expands the matched tools into the visible set.
### Configuration
Tool search is configured in `config.toml` under the `[tools]` section:
```toml
[tools]
search = "auto" # "auto", "on", or "off"
search_threshold = 20 # minimum total tool count to activate
search_max_results = 5 # max tools returned per search call
```
CLI flags override the config file:
- `--tool-search {auto,on,off}` -- force tool search on or off, or let turnstone
decide based on threshold (default: `auto`).
- `--tool-search-threshold N` -- minimum tool count to activate (default: 20).
- `--tool-search-max-results N` -- max results per search (default: 5).
### How it works
1. **Threshold check**: At session startup, `ToolSearchManager.should_activate()`
counts total tools (built-in + MCP). If the count is below the threshold, tool
search stays off and all tools are sent to the model directly.
2. **Partitioning**: When active, tools are split into two sets:
- **Always-on** -- the 17 built-in tools (members of `BUILTIN_TOOL_NAMES`).
These are always visible to the model.
- **Deferred** -- all MCP tools. These are not sent in the tool list unless
the model searches for them.
3. **Search and expand**: When the model calls `tool_search` (client-side) or the
provider's native search returns results, the matched tools are added to the
visible set via `expand_visible()`. Once expanded, a tool stays visible for
the remainder of the session.
4. **Multi-turn persistence**: Expanded tools are never removed. This avoids
confusing the model when it references a tool it discovered in an earlier turn.
### Agent exemption
Plan and task sub-agents do not use tool search. They operate on scoped tool
sets (`AGENT_TOOLS` for plan agents, `TASK_AGENT_TOOLS` for task agents) with
MCP tools merged in. Tool search is only active for the top-level session,
where the model can interactively search for tools it needs.
---
## MCP Tools (External)
> See also: [MCP Architecture diagram](diagrams/png/20-mcp-architecture.png)
Turnstone supports the [Model Context Protocol](https://modelcontextprotocol.io/)
(MCP) for connecting external tool servers — GitHub, databases, filesystems, or any
MCP-compatible service.
@@ -421,13 +599,17 @@ MCP-compatible service.
2. **Discovery**: At startup, `MCPClientManager` connects to each configured server
(via stdio subprocess or HTTP), performs the MCP `initialize` handshake, and calls
`tools/list` to discover available tools.
`tools/list` to discover available tools. During the handshake, the manager checks
each server's capabilities for `tools.listChanged` support (push notifications).
3. **Schema conversion**: Each MCP tool's `inputSchema` is converted to OpenAI
function-calling format. The tool name is prefixed: `mcp__{server}__{tool}`.
4. **Merging**: MCP tools are appended after the 14 built-in tools via
4. **Merging**: MCP tools are appended after the 17 built-in tools via
`merge_mcp_tools()`. Built-in tools appear first, giving them natural LLM priority.
When dynamic tool search is active, MCP tools are deferred rather than directly
visible -- the model discovers them via search as needed (see
[Dynamic Tool Search](#dynamic-tool-search) above).
5. **Dispatch**: When the LLM calls an MCP tool, `_prepare_mcp_tool()` builds a
generic approval preview and `_exec_mcp_tool()` calls `MCPClientManager.call_tool_sync()`,
@@ -500,3 +682,182 @@ MCP tools (3):
mcp__github__create_issue [MCP: github] Create a GitHub issue
mcp__postgres__query [MCP: postgres] Run a SQL query
```
### Dynamic tool refresh
MCP tool lists stay up-to-date without restart through three mechanisms:
1. **Push notifications** -- MCP servers that declare `tools.listChanged: true` in
their capabilities send `notifications/tools/list_changed` when their tool list
changes. `MCPClientManager` registers a `message_handler` on each `ClientSession`
that triggers an immediate refresh for that server.
2. **Periodic timer** -- Servers that do *not* support push notifications are polled
on a configurable interval (default 4 hours). The timer is staggered using a
launch-time seed (`monotonic_ns ^ pid`) so cluster nodes don't all hit MCP
servers simultaneously. Configure via `[mcp] refresh_interval` in `config.toml`
or `--mcp-refresh-interval SECONDS` on the CLI. Set to `0` to disable.
3. **Manual** -- `/mcp refresh` re-fetches tools from all servers immediately.
`/mcp refresh <server>` targets a single server. If a server has disconnected,
manual refresh attempts reconnection.
When tools change, `MCPClientManager` rebuilds its merged tool list using copy-on-write
(new list/dict objects assigned atomically) and notifies all active `ChatSession`
instances via registered listener callbacks. Each session rebuilds its `_tools`,
`_task_tools`, `_agent_tools`, and reconstructs its `ToolSearchManager` (if active),
preserving the set of previously expanded (discovered) tools.
```toml
[mcp]
refresh_interval = 14400 # seconds (default 4h), 0 to disable
```
```
/mcp refresh
MCP refresh complete:
github: +1 added
+ mcp__github__create_pr
postgres: no changes
/mcp refresh github
MCP refresh complete:
github: no changes
```
---
## MCP Resources
MCP servers can expose **resources** -- named data items (files, database rows,
API responses) addressable by URI. turnstone discovers resources at startup and
makes them available to the model via the `read_resource` built-in tool.
### Discovery
During the MCP `initialize` handshake, `MCPClientManager` checks each server's
capabilities for the `resources` capability. For servers that declare it:
1. `list_resources` fetches static resources (fixed URIs).
2. `list_resource_templates` fetches URI templates (parameterized patterns like
`db://tables/{table}/rows/{id}`).
Both are stored as `{uri, name, description, mimeType, server}` dicts and
merged into a unified catalog.
### Resource catalog in system message
The first 50 resources are injected into the system message as an XML-delimited
block so the model knows what URIs are available:
```xml
<mcp-resources>
file:///project/README.md Project readme
db://users/schema User table schema
</mcp-resources>
Use read_resource(uri='...') to access the resources listed above.
```
### read_resource tool
| Parameter | Type | Required | Description |
|-----------|--------|----------|-------------|
| `uri` | string | yes | The resource URI to read. |
- **What it does**: Reads the resource from its MCP server via `MCPClientManager.read_resource_sync()`. Returns text content for text resources or base64-encoded data for binary resources. Output is truncated by the standard tool output limiter.
- **Auto-approve**: No -- requires user confirmation (reads external data).
- **Agent availability**: `agent` and `task_agent`.
### Capability guards
The `read_resource` tool schema is always loaded (it is a built-in JSON schema),
but resource discovery only runs for servers that declare the `resources`
capability. Servers without the capability contribute zero resources to the
catalog.
### Refresh
Resource lists stay current through the same three-tier mechanism as tool lists:
1. **Push** -- Servers declaring `resources.listChanged: true` send
`notifications/resources/list_changed`, triggering an immediate refresh.
2. **Periodic** -- Servers without push are polled on the configured refresh
interval (default 4 hours, same timer as tools).
3. **Manual** -- `/mcp refresh` re-fetches resources alongside tools.
---
## MCP Prompts
MCP servers can also expose **prompts** -- reusable message templates with
optional arguments. turnstone discovers prompts at startup for servers that
declare the `prompts` capability.
### Discovery
Prompt discovery mirrors resource discovery: `list_prompts` is called during
the `initialize` handshake. Each prompt is stored with its prefixed name
(`mcp__{server}__{prompt}`), description, and argument schema.
### use_prompt tool
| Parameter | Type | Required | Description |
|-------------|--------|----------|-------------|
| `name` | string | yes | The prompt name (e.g. `mcp__server__prompt_name`). |
| `arguments` | object | no | Key-value argument pairs for the prompt. Values must be strings. |
- **What it does**: Invokes an MCP prompt template by name via `MCPClientManager.get_prompt_sync()`, expanding it into messages. Returns the expanded prompt content formatted as `[role]: content` blocks joined with blank lines. The prompt catalog is listed in the system message so the model knows which prompts are available. Output is truncated by the standard tool output limiter.
- **Auto-approve**: No -- requires user confirmation (invokes external prompt servers).
- **Agent availability**: `agent` and `task_agent`.
### Invocation
`MCPClientManager.get_prompt_sync()` calls the server's `get_prompt` method
with the provided arguments and returns the expanded messages. The `use_prompt`
built-in tool exposes this to the model as a function call.
### Governance Sync
Discovered MCP prompts are automatically synced into the `prompt_templates`
governance table as first-class governed templates:
- **Origin tracking**: MCP-sourced templates have `origin="mcp"` and
`mcp_server` set to the server name. Manual templates have
`origin="manual"`.
- **Read-only**: MCP-sourced templates are `readonly=True`. The admin API
returns 403 on update/delete attempts. The admin UI disables edit/delete
buttons and shows an origin badge.
- **Precedence**: If a manual template and MCP prompt share the same name,
the manual template wins and the MCP prompt is skipped (with a log
warning).
- **Lifecycle**: Templates are created on connect, updated on prompt list
refresh, and removed when the MCP server no longer exposes the prompt.
The sync runs automatically on connect, on `PromptListChangedNotification`,
and on manual `/mcp refresh`.
- **Schema**: Migration 009 adds `origin`, `mcp_server`, and `readonly`
columns to the `prompt_templates` table.
The `use_prompt` tool allows the model to invoke any discovered MCP prompt at
runtime. A catalog of up to 30 prompts is injected into the system message
inside `<mcp-prompts>` XML tags so the model can discover available prompts.
---
## MCP UI Visibility
MCP server, resource, and prompt counts are surfaced across the UI:
- **Server `/health` endpoint**: Returns `mcp.servers`, `mcp.resources`,
`mcp.prompts` when MCP is configured
- **Server UI**: Magenta status badge in the header showing server count,
with resource/prompt counts in tooltip
- **Console cluster status bar**: MCP metrics (servers/resources/prompts)
with magenta LED dot indicator, shown after a divider from workstream
metrics
- **Console node detail**: Per-node MCP summary showing server, resource,
and prompt counts
- **Console collector**: Aggregates MCP counts across all nodes in the
cluster overview
MCP indicators use the `--magenta` design token for consistent theming
across light and dark modes.
+123
View File
@@ -0,0 +1,123 @@
# MCP Cluster Ops
An MCP server that exposes tools for executing commands across a [Turnstone](https://github.com/turnstonelabs/turnstone) cluster. Serves as a reference implementation for both MCP server patterns and Turnstone MQ client SDK usage.
## How it works
This server uses Turnstone's MQ client (`TurnstoneClient`) to dispatch shell commands to specific nodes via Redis. Remote agents execute the command and the raw bash output is captured directly from the `ToolResultEvent` stream — bypassing the costly "agent reads output → re-generates output as completion tokens" round-trip.
Multi-node dispatches run in parallel via `asyncio.gather`, so total wall time is bounded by the slowest node rather than the sum.
## Tools
| Tool | Description |
|------|-------------|
| `list_nodes` | Discover active nodes in the cluster |
| `run_on_node` | Execute a command on a specific node |
| `run_on_nodes` | Execute a command on selected nodes in parallel |
| `run_on_all_nodes` | Execute a command on ALL active nodes in parallel |
## Prerequisites
- A running Turnstone cluster (at least one `turnstone-server` + `turnstone-bridge`)
- Redis accessible from wherever this MCP server runs
- Python 3.11+
## Installation
```bash
# From the turnstone repo root:
pip install -e ./examples/mcp-cluster-ops
# Or install turnstone with MQ support first, then the example:
pip install -e ".[mq]"
pip install -e ./examples/mcp-cluster-ops
```
## Configuration
### Environment Variables
| Variable | Default | Description |
|----------|---------|-------------|
| `REDIS_HOST` | `localhost` | Redis host |
| `REDIS_PORT` | `6379` | Redis port |
| `REDIS_PASSWORD` | _(none)_ | Redis password (use env vars, not config files) |
| `MCP_CLUSTER_OPS_TIMEOUT` | `120` | Default command timeout (seconds, clamped 5-3600) |
| `MCP_CLUSTER_OPS_MAX_OUTPUT` | `8192` | Max output bytes per node (0 = unlimited) |
| `MCP_CLUSTER_OPS_MAX_NODES` | `32` | Max concurrent node dispatches |
| `MCP_CLUSTER_OPS_MAX_COMMAND` | `65536` | Max command string length |
### Register with Turnstone
**TOML** (`~/.config/turnstone/config.toml`):
```toml
[mcp.servers.cluster-ops]
command = "mcp-cluster-ops"
[mcp.servers.cluster-ops.env]
REDIS_HOST = "redis.example.com"
```
**JSON** (via `--mcp-config`):
```json
{
"mcpServers": {
"cluster-ops": {
"command": "mcp-cluster-ops",
"env": {
"REDIS_HOST": "redis.example.com"
}
}
}
}
```
## Usage Examples
Once registered, the tools appear in any Turnstone session. The model can:
```
> Check disk usage across the cluster
[calls list_nodes → discovers node-1, node-2, node-3]
[calls run_on_all_nodes with "df -h /"]
node-1: /dev/sda1 500G 320G 180G 64% /
node-2: /dev/sda1 500G 410G 90G 82% /
node-3: /dev/sda1 1.0T 200G 800G 20% /
```
## Why MQ client instead of HTTP SDK?
The HTTP SDK (`TurnstoneServer`) talks to a single server instance. The MQ client (`TurnstoneClient`) routes through Redis with `target_node` support, which is the entire point of cross-node cluster operations.
## Security Considerations
**This MCP server grants the calling agent shell access to cluster nodes.**
- Commands are executed with `auto_approve=True` and the privileges of the
Turnstone server process on the target node.
- Command output (which may contain secrets, credentials, or sensitive data)
is returned through the MCP tool result and becomes part of the LLM context.
- The security boundary is at the MCP host layer -- use Turnstone's tool
policy system to restrict which agents can invoke these tools.
- Set `REDIS_PASSWORD` via your environment or a secrets manager -- avoid
hardcoding passwords in config files.
## Development
```bash
cd examples/mcp-cluster-ops
# Run tests
pip install -e ".[test]"
pytest
# Lint
pip install -e ".[dev]"
ruff check mcp_cluster_ops/
mypy --strict mcp_cluster_ops/
```
@@ -0,0 +1,3 @@
"""MCP server for Turnstone cluster operations."""
__version__ = "0.1.0"
@@ -0,0 +1,4 @@
from mcp_cluster_ops.server import main
if __name__ == "__main__":
main()
@@ -0,0 +1,404 @@
"""MCP server for Turnstone cluster operations.
Exposes tools to execute commands on specific nodes in a Turnstone cluster.
Uses the MQ client (``TurnstoneClient``) for direct node targeting via Redis.
Usage::
mcp-cluster-ops # via entry point
python -m mcp_cluster_ops # via module
Configure in ``~/.config/turnstone/config.toml``::
[mcp.servers.cluster-ops]
command = "mcp-cluster-ops"
[mcp.servers.cluster-ops.env]
REDIS_HOST = "redis.example.com"
Environment variables
---------------------
REDIS_HOST Redis host (default: localhost)
REDIS_PORT Redis port (default: 6379)
REDIS_PASSWORD Redis password (default: none)
MCP_CLUSTER_OPS_TIMEOUT Default command timeout in seconds (default: 120)
MCP_CLUSTER_OPS_MAX_OUTPUT Max output bytes per node (default: 8192, 0=unlimited)
Performance notes
-----------------
Remote agents are told to reply with only "ok" or "failed" the raw bash
output is captured directly from the ToolResultEvent that already flows
through Redis, bypassing the costly "agent reads output then re-generates
output as completion tokens" round-trip.
All multi-node dispatches run in parallel via ``asyncio.gather`` so total
wall time is bounded by the slowest node, not the sum of all nodes.
"""
from __future__ import annotations
import asyncio
import json
import logging
import os
from contextlib import asynccontextmanager
from typing import TYPE_CHECKING, Any
from mcp.server.fastmcp import Context, FastMCP
from turnstone.mq.client import TurnResult, TurnstoneClient
if TYPE_CHECKING:
from collections.abc import AsyncIterator
log = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Configuration
# ---------------------------------------------------------------------------
_DEFAULT_TIMEOUT = int(os.environ.get("MCP_CLUSTER_OPS_TIMEOUT", "120"))
_DEFAULT_MAX_OUTPUT = int(os.environ.get("MCP_CLUSTER_OPS_MAX_OUTPUT", "8192"))
_MAX_CONCURRENT_NODES = int(os.environ.get("MCP_CLUSTER_OPS_MAX_NODES", "32"))
_MAX_COMMAND_LEN = int(os.environ.get("MCP_CLUSTER_OPS_MAX_COMMAND", "65536"))
_MIN_TIMEOUT = 5
_MAX_TIMEOUT = 3600
# ---------------------------------------------------------------------------
# Helpers (pure functions, easily testable)
# ---------------------------------------------------------------------------
def _redis_kwargs() -> dict[str, Any]:
"""Build Redis connection kwargs from environment variables.
Follows the same env var convention as ``turnstone.mq.broker.add_redis_args``:
``REDIS_HOST``, ``REDIS_PORT``, ``REDIS_PASSWORD``.
"""
kwargs: dict[str, Any] = {"host": os.environ.get("REDIS_HOST", "localhost")}
port = os.environ.get("REDIS_PORT")
if port is not None:
kwargs["port"] = int(port)
password = os.environ.get("REDIS_PASSWORD")
if password:
kwargs["password"] = password
return kwargs
def _exec_prompt(command: str) -> str:
"""Build the prompt sent to the remote agent.
Instructs it to run the command and reply minimally so that the raw
bash output (captured via ToolResultEvent) is the primary result,
avoiding token waste from re-transcription.
"""
return (
"Execute this shell command using the bash tool:\n"
f" {command}\n\n"
"After the tool completes, reply with only 'ok' or 'failed'.\n"
"Do NOT repeat, quote, or summarise the command output in your reply."
)
def _extract_output(result: TurnResult) -> str:
"""Extract useful output from a TurnResult.
Prefers raw bash ToolResultEvent output (zero LLM re-transcription cost)
over agent content. Falls back through tool results and content.
"""
bash_outputs = [out for name, out in result.tool_results if name == "bash"]
if bash_outputs:
return "\n".join(bash_outputs)
content: str = result.content
if content:
return content
if result.tool_results:
return str(result.tool_results[0][1])
return ""
def _truncate(text: str, max_bytes: int) -> str:
"""Truncate *text* to at most *max_bytes* UTF-8 bytes.
Appends a marker when truncation occurs. Handles multi-byte characters
safely by decoding with ``errors='ignore'``.
Pass ``max_bytes=0`` to disable truncation.
"""
if max_bytes <= 0:
return text
encoded = text.encode("utf-8")
if len(encoded) <= max_bytes:
return text
truncated = encoded[:max_bytes].decode("utf-8", errors="ignore")
omitted = len(encoded) - len(truncated.encode("utf-8"))
return truncated + f"\n... [truncated: {omitted} bytes omitted]"
def _clamp_timeout(timeout: int) -> float:
"""Clamp timeout to a safe range."""
return float(max(_MIN_TIMEOUT, min(timeout, _MAX_TIMEOUT)))
def _validate_command(command: str) -> str | None:
"""Validate a command string. Returns an error message or None."""
if not command.strip():
return "command must be a non-empty string"
if len(command) > _MAX_COMMAND_LEN:
return f"command too long ({len(command)} chars, max {_MAX_COMMAND_LEN})"
return None
def _format_node_result(
node_id: str,
result: TurnResult,
max_output: int,
) -> dict[str, Any]:
"""Format a single node's TurnResult for JSON output."""
raw = _extract_output(result)
output = _truncate(raw, max_output)
entry: dict[str, Any] = {
"node": node_id,
"ok": result.ok,
}
if result.timed_out:
entry["timed_out"] = True
if result.ok:
entry["output"] = output
else:
entry["output"] = output or None
if result.errors:
entry["error"] = "; ".join(result.errors)
return entry
# ---------------------------------------------------------------------------
# Core dispatch functions (testable with mocked TurnstoneClient)
# ---------------------------------------------------------------------------
def _exec_on_node_sync(
redis_kw: dict[str, Any],
node_id: str,
command: str,
timeout: float,
) -> tuple[str, TurnResult]:
"""Dispatch *command* to *node_id* and block until complete.
Runs inside ``asyncio.to_thread`` so it does not block the event loop.
Each call creates its own ``TurnstoneClient`` to avoid Redis pub/sub
subscription conflicts between concurrent dispatches.
"""
prompt = _exec_prompt(command)
with TurnstoneClient(**redis_kw) as client:
result = client.send_and_wait(
message=prompt,
target_node=node_id,
auto_approve=True,
timeout=timeout,
)
return node_id, result
async def _dispatch_parallel(
redis_kw: dict[str, Any],
node_ids: list[str],
command: str,
timeout: float,
max_output: int,
) -> list[dict[str, Any]]:
"""Dispatch *command* to all *node_ids* concurrently.
Total wall time is bounded by the slowest node.
"""
tasks = [
asyncio.to_thread(_exec_on_node_sync, redis_kw, nid, command, timeout) for nid in node_ids
]
outcomes = await asyncio.gather(*tasks, return_exceptions=True)
results: list[dict[str, Any]] = []
for nid, outcome in zip(node_ids, outcomes, strict=True):
if isinstance(outcome, BaseException):
if not isinstance(outcome, Exception):
raise outcome # propagate KeyboardInterrupt, SystemExit, etc.
results.append({"node": nid, "ok": False, "error": str(outcome)})
else:
_, turn_result = outcome
results.append(_format_node_result(nid, turn_result, max_output))
return results
def _list_nodes_sync(redis_kw: dict[str, Any]) -> list[dict[str, Any]]:
"""List active cluster nodes (blocking)."""
with TurnstoneClient(**redis_kw) as client:
nodes: list[dict[str, Any]] = client.list_nodes()
return nodes
async def _list_nodes_impl(redis_kw: dict[str, Any]) -> list[dict[str, Any]]:
"""List active cluster nodes."""
return await asyncio.to_thread(_list_nodes_sync, redis_kw)
# ---------------------------------------------------------------------------
# MCP server
# ---------------------------------------------------------------------------
@asynccontextmanager
async def _lifespan(server: FastMCP[dict[str, Any]]) -> AsyncIterator[dict[str, Any]]:
"""Lifespan context — stores Redis kwargs for tool handlers."""
kw = _redis_kwargs()
yield {"redis_kwargs": kw}
mcp = FastMCP(
"turnstone-cluster-ops",
instructions=(
"Tools for executing commands across a Turnstone AI cluster. "
"Use list_nodes first to discover available nodes, then run_on_node "
"to execute commands on specific nodes or run_on_all_nodes for "
"cluster-wide operations."
),
lifespan=_lifespan,
)
@mcp.tool()
async def list_nodes(ctx: Context[Any, Any, Any]) -> str:
"""List all active nodes in the Turnstone cluster.
Call this before dispatching work to discover available node IDs.
Returns a JSON array of node metadata objects.
"""
redis_kw: dict[str, Any] = ctx.request_context.lifespan_context["redis_kwargs"]
nodes = await _list_nodes_impl(redis_kw)
return json.dumps(nodes, indent=2)
@mcp.tool()
async def run_on_node(
node_id: str,
command: str,
ctx: Context[Any, Any, Any],
timeout: int = _DEFAULT_TIMEOUT,
) -> str:
"""Execute a shell command on a specific node and return the raw output.
Use list_nodes first to discover available node IDs.
Args:
node_id: Target node ID (e.g. 'worker-1.example.com').
command: Shell command to execute on the target node.
timeout: Timeout in seconds (default: 120).
"""
node_id = node_id.strip()
if not node_id:
return json.dumps({"error": "node_id must be a non-empty string"})
cmd_err = _validate_command(command)
if cmd_err:
return json.dumps({"error": cmd_err})
redis_kw: dict[str, Any] = ctx.request_context.lifespan_context["redis_kwargs"]
max_output = _DEFAULT_MAX_OUTPUT
log.info("run_on_node node=%s cmd=%r", node_id, command)
_, result = await asyncio.to_thread(
_exec_on_node_sync, redis_kw, node_id, command, _clamp_timeout(timeout)
)
formatted = _format_node_result(node_id, result, max_output)
return json.dumps(formatted, indent=2)
@mcp.tool()
async def run_on_nodes(
node_ids: list[str],
command: str,
ctx: Context[Any, Any, Any],
timeout: int = _DEFAULT_TIMEOUT,
) -> str:
"""Execute a shell command on specific nodes in parallel.
Results are collected from each node. Total wall time is bounded by
the slowest node rather than the sum.
Args:
node_ids: List of node IDs to target.
command: Shell command to execute.
timeout: Timeout per node in seconds (default: 120).
"""
cmd_err = _validate_command(command)
if cmd_err:
return json.dumps({"error": cmd_err})
redis_kw: dict[str, Any] = ctx.request_context.lifespan_context["redis_kwargs"]
max_output = _DEFAULT_MAX_OUTPUT
clean_ids = list(dict.fromkeys(nid.strip() for nid in node_ids if nid.strip()))
if not clean_ids:
return json.dumps({"error": "node_ids must be a non-empty list"})
if len(clean_ids) > _MAX_CONCURRENT_NODES:
return json.dumps(
{"error": f"Too many nodes ({len(clean_ids)}), max is {_MAX_CONCURRENT_NODES}"}
)
log.info("run_on_nodes nodes=%s cmd=%r", clean_ids, command)
results = await _dispatch_parallel(
redis_kw, clean_ids, command, _clamp_timeout(timeout), max_output
)
return json.dumps(results, indent=2)
@mcp.tool()
async def run_on_all_nodes(
command: str,
ctx: Context[Any, Any, Any],
timeout: int = _DEFAULT_TIMEOUT,
) -> str:
"""Execute a shell command on ALL active nodes in parallel.
Discovers nodes automatically, then dispatches in parallel. Useful for
cluster-wide operations like checking disk usage, GPU status, or
running processes.
Args:
command: Shell command to execute on every node.
timeout: Timeout per node in seconds (default: 120).
"""
cmd_err = _validate_command(command)
if cmd_err:
return json.dumps({"error": cmd_err})
redis_kw: dict[str, Any] = ctx.request_context.lifespan_context["redis_kwargs"]
max_output = _DEFAULT_MAX_OUTPUT
nodes = await _list_nodes_impl(redis_kw)
if not nodes:
return json.dumps({"error": "No active nodes found in cluster"})
node_ids = list(
dict.fromkeys(
nid.strip() for n in nodes if (nid := n.get("node_id") or n.get("id")) and nid.strip()
)
)
if not node_ids:
return json.dumps({"error": "No nodes with identifiable IDs found"})
if len(node_ids) > _MAX_CONCURRENT_NODES:
return json.dumps(
{"error": f"Too many nodes ({len(node_ids)}), max is {_MAX_CONCURRENT_NODES}"}
)
log.info("run_on_all_nodes nodes=%s cmd=%r", node_ids, command)
results = await _dispatch_parallel(
redis_kw, node_ids, command, _clamp_timeout(timeout), max_output
)
return json.dumps(results, indent=2)
# ---------------------------------------------------------------------------
# Entry point
# ---------------------------------------------------------------------------
def main() -> None:
"""Run the MCP cluster-ops server via stdio transport."""
logging.basicConfig(level=logging.INFO)
mcp.run(transport="stdio")
+57
View File
@@ -0,0 +1,57 @@
[build-system]
requires = ["hatchling>=1.29"]
build-backend = "hatchling.build"
[project]
name = "mcp-cluster-ops"
version = "0.1.0"
description = "MCP server for Turnstone cluster operations — reference implementation."
requires-python = ">=3.11"
license = "BUSL-1.1"
dependencies = [
"turnstone[mq]",
"mcp>=1.6",
]
[project.scripts]
mcp-cluster-ops = "mcp_cluster_ops.server:main"
[project.optional-dependencies]
test = ["pytest>=9.0"]
dev = ["ruff>=0.9", "mypy>=1.14", "types-redis>=4.6"]
[tool.pytest.ini_options]
testpaths = ["tests"]
[tool.ruff]
target-version = "py311"
line-length = 100
[tool.ruff.lint]
select = ["E", "F", "W", "I", "N", "UP", "B", "A", "SIM", "TCH"]
ignore = ["E501"]
[tool.ruff.format]
quote-style = "double"
[tool.mypy]
python_version = "3.11"
strict = true
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
check_untyped_defs = true
no_implicit_optional = true
[[tool.mypy.overrides]]
module = ["mcp", "mcp.*"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = ["turnstone", "turnstone.*"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = "tests.*"
disallow_untyped_defs = false
@@ -0,0 +1,192 @@
"""Tests for pure helper functions in mcp_cluster_ops.server."""
from __future__ import annotations
from turnstone.mq.client import TurnResult
from mcp_cluster_ops.server import (
_clamp_timeout,
_exec_prompt,
_extract_output,
_format_node_result,
_truncate,
_validate_command,
)
# ---------------------------------------------------------------------------
# _truncate
# ---------------------------------------------------------------------------
class TestTruncate:
def test_empty_string(self):
assert _truncate("", 100) == ""
def test_under_limit(self):
assert _truncate("hello", 100) == "hello"
def test_at_limit(self):
text = "x" * 50
assert _truncate(text, 50) == text
def test_over_limit(self):
text = "x" * 200
result = _truncate(text, 50)
assert result.startswith("x" * 50)
assert "truncated" in result
assert "150 bytes omitted" in result
def test_unicode_boundary(self):
# U+00E9 (é) is 2 bytes in UTF-8 (0xC3 0xA9), so 5 chars = 10 bytes
text = "\u00e9\u00e9\u00e9\u00e9\u00e9"
result = _truncate(text, 5)
# Should not crash, should truncate cleanly
assert "truncated" in result
def test_zero_disables(self):
text = "x" * 10000
assert _truncate(text, 0) == text
def test_custom_max(self):
text = "abcdefghij" # 10 bytes
result = _truncate(text, 5)
assert result.startswith("abcde")
assert "truncated" in result
# ---------------------------------------------------------------------------
# _extract_output
# ---------------------------------------------------------------------------
class TestExtractOutput:
def test_bash_result_preferred(self):
r = TurnResult(
content_parts=["agent said something"],
tool_results=[("bash", "raw output")],
)
assert _extract_output(r) == "raw output"
def test_multiple_bash_results_joined(self):
r = TurnResult(
tool_results=[("bash", "line1"), ("bash", "line2")],
)
assert _extract_output(r) == "line1\nline2"
def test_content_fallback(self):
r = TurnResult(
content_parts=["agent response"],
tool_results=[("read_file", "file contents")],
)
assert _extract_output(r) == "agent response"
def test_any_tool_fallback(self):
r = TurnResult(
tool_results=[("read_file", "file contents")],
)
assert _extract_output(r) == "file contents"
def test_empty_result(self):
r = TurnResult()
assert _extract_output(r) == ""
def test_bash_preferred_over_content(self):
r = TurnResult(
content_parts=["I ran the command"],
tool_results=[("read_file", "data"), ("bash", "output")],
)
assert _extract_output(r) == "output"
# ---------------------------------------------------------------------------
# _exec_prompt
# ---------------------------------------------------------------------------
class TestExecPrompt:
def test_contains_command(self):
result = _exec_prompt("ls -la /tmp")
assert "ls -la /tmp" in result
def test_suppression_instruction(self):
result = _exec_prompt("echo hello")
assert "Do NOT repeat" in result
assert "ok" in result.lower() or "failed" in result.lower()
# ---------------------------------------------------------------------------
# _format_node_result
# ---------------------------------------------------------------------------
class TestFormatNodeResult:
def test_success(self):
r = TurnResult(tool_results=[("bash", "output data")])
fmt = _format_node_result("node-1", r, 8192)
assert fmt["node"] == "node-1"
assert fmt["ok"] is True
assert fmt["output"] == "output data"
assert "timed_out" not in fmt
def test_timeout(self):
r = TurnResult(timed_out=True)
fmt = _format_node_result("node-1", r, 8192)
assert fmt["ok"] is False
assert fmt["timed_out"] is True
def test_error(self):
r = TurnResult(errors=["connection refused"])
fmt = _format_node_result("node-1", r, 8192)
assert fmt["ok"] is False
assert fmt["error"] == "connection refused"
def test_truncation_applied(self):
r = TurnResult(tool_results=[("bash", "x" * 200)])
fmt = _format_node_result("node-1", r, 50)
assert "truncated" in fmt["output"]
def test_unlimited_output(self):
big = "x" * 100000
r = TurnResult(tool_results=[("bash", big)])
fmt = _format_node_result("node-1", r, 0)
assert fmt["output"] == big
# ---------------------------------------------------------------------------
# _validate_command
# ---------------------------------------------------------------------------
class TestValidateCommand:
def test_valid(self):
assert _validate_command("ls -la") is None
def test_empty(self):
assert _validate_command("") is not None
def test_whitespace_only(self):
assert _validate_command(" ") is not None
def test_too_long(self):
err = _validate_command("x" * 100000)
assert err is not None
assert "too long" in err
# ---------------------------------------------------------------------------
# _clamp_timeout
# ---------------------------------------------------------------------------
class TestClampTimeout:
def test_normal(self):
assert _clamp_timeout(60) == 60.0
def test_too_low(self):
assert _clamp_timeout(1) == 5.0
def test_too_high(self):
assert _clamp_timeout(99999) == 3600.0
def test_negative(self):
assert _clamp_timeout(-1) == 5.0
@@ -0,0 +1,149 @@
"""Tests for MCP tool handlers with mocked TurnstoneClient."""
from __future__ import annotations
import asyncio
from typing import Any
from unittest.mock import MagicMock, patch
from turnstone.mq.client import TurnResult
from mcp_cluster_ops.server import (
_dispatch_parallel,
_exec_on_node_sync,
_list_nodes_impl,
)
# ---------------------------------------------------------------------------
# _list_nodes_impl
# ---------------------------------------------------------------------------
class TestListNodesImpl:
def test_returns_nodes(self):
nodes = [{"node_id": "a", "model": "gpt-5"}, {"node_id": "b", "model": "gpt-5"}]
with patch("mcp_cluster_ops.server.TurnstoneClient") as mock_cls:
mock_client = MagicMock()
mock_client.list_nodes.return_value = nodes
mock_cls.return_value.__enter__ = MagicMock(return_value=mock_client)
mock_cls.return_value.__exit__ = MagicMock(return_value=False)
result = asyncio.run(_list_nodes_impl({"host": "localhost"}))
assert result == nodes
def test_empty_cluster(self):
with patch("mcp_cluster_ops.server.TurnstoneClient") as mock_cls:
mock_client = MagicMock()
mock_client.list_nodes.return_value = []
mock_cls.return_value.__enter__ = MagicMock(return_value=mock_client)
mock_cls.return_value.__exit__ = MagicMock(return_value=False)
result = asyncio.run(_list_nodes_impl({"host": "localhost"}))
assert result == []
# ---------------------------------------------------------------------------
# _exec_on_node_sync
# ---------------------------------------------------------------------------
class TestExecOnNodeSync:
def test_success(self):
turn_result = TurnResult(
tool_results=[("bash", "hello world")],
)
with patch("mcp_cluster_ops.server.TurnstoneClient") as mock_cls:
mock_client = MagicMock()
mock_client.send_and_wait.return_value = turn_result
mock_cls.return_value.__enter__ = MagicMock(return_value=mock_client)
mock_cls.return_value.__exit__ = MagicMock(return_value=False)
node_id, result = _exec_on_node_sync(
{"host": "localhost"}, "node-1", "echo hello", 60.0
)
assert node_id == "node-1"
assert result.ok
mock_client.send_and_wait.assert_called_once()
call_kwargs = mock_client.send_and_wait.call_args
assert call_kwargs.kwargs["target_node"] == "node-1"
assert call_kwargs.kwargs["auto_approve"] is True
def test_timeout(self):
turn_result = TurnResult(timed_out=True)
with patch("mcp_cluster_ops.server.TurnstoneClient") as mock_cls:
mock_client = MagicMock()
mock_client.send_and_wait.return_value = turn_result
mock_cls.return_value.__enter__ = MagicMock(return_value=mock_client)
mock_cls.return_value.__exit__ = MagicMock(return_value=False)
_, result = _exec_on_node_sync({"host": "localhost"}, "node-1", "sleep 9999", 1.0)
assert result.timed_out
assert not result.ok
# ---------------------------------------------------------------------------
# _dispatch_parallel
# ---------------------------------------------------------------------------
class TestDispatchParallel:
def test_parallel_success(self):
def fake_exec(redis_kw: Any, node_id: str, command: str, timeout: float) -> Any:
return (node_id, TurnResult(tool_results=[("bash", f"output-{node_id}")]))
with patch("mcp_cluster_ops.server._exec_on_node_sync", side_effect=fake_exec):
results = asyncio.run(
_dispatch_parallel(
{"host": "localhost"},
["a", "b", "c"],
"echo hi",
60.0,
8192,
)
)
assert len(results) == 3
assert all(r["ok"] for r in results)
outputs = {r["node"]: r["output"] for r in results}
assert outputs["a"] == "output-a"
assert outputs["b"] == "output-b"
def test_partial_failure(self):
def fake_exec(redis_kw: Any, node_id: str, command: str, timeout: float) -> Any:
if node_id == "bad":
raise ConnectionError("Redis down")
return (node_id, TurnResult(tool_results=[("bash", "ok")]))
with patch("mcp_cluster_ops.server._exec_on_node_sync", side_effect=fake_exec):
results = asyncio.run(
_dispatch_parallel(
{"host": "localhost"},
["good", "bad"],
"echo hi",
60.0,
8192,
)
)
assert len(results) == 2
good = next(r for r in results if r["node"] == "good")
bad = next(r for r in results if r["node"] == "bad")
assert good["ok"] is True
assert bad["ok"] is False
assert "Redis down" in bad["error"]
def test_all_fail(self):
def fake_exec(redis_kw: Any, node_id: str, command: str, timeout: float) -> Any:
raise RuntimeError(f"fail-{node_id}")
with patch("mcp_cluster_ops.server._exec_on_node_sync", side_effect=fake_exec):
results = asyncio.run(
_dispatch_parallel(
{"host": "localhost"},
["a", "b"],
"echo hi",
60.0,
8192,
)
)
assert all(not r["ok"] for r in results)
assert "fail-a" in results[0]["error"]
assert "fail-b" in results[1]["error"]
+33 -4
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "turnstone"
version = "0.3.5"
version = "0.6.2"
description = "Multi-node AI orchestration platform with tool use, agent routing, and cluster simulation."
readme = "README.md"
license = "BUSL-1.1"
@@ -32,6 +32,9 @@ dependencies = [
"pydantic>=2.0",
"sqlalchemy>=2.0",
"alembic>=1.14",
"structlog>=24.1",
"PyJWT>=2.8",
"bcrypt>=4.0",
]
[project.urls]
@@ -40,14 +43,15 @@ Repository = "https://github.com/turnstonelabs/turnstone"
Issues = "https://github.com/turnstonelabs/turnstone/issues"
[project.optional-dependencies]
test = ["pytest>=9.0", "pytest-cov>=6.0"]
test = ["pytest>=9.0", "pytest-cov>=6.0", "croniter>=3.0"]
dev = ["ruff>=0.9", "mypy>=1.14", "types-redis>=4.6"]
mq = ["redis>=7.2"]
console = ["redis>=7.2"]
console = ["redis>=7.2", "croniter>=3.0"]
sim = ["redis>=7.2"]
anthropic = ["anthropic>=0.39"]
postgres = ["psycopg[binary]>=3.2"]
discord = ["discord.py>=2.4", "redis>=7.2"]
all = ["turnstone[mq,console,sim,anthropic,postgres,discord]"]
[project.scripts]
turnstone = "turnstone.cli:main"
@@ -56,6 +60,9 @@ turnstone-server = "turnstone.server:main"
turnstone-bridge = "turnstone.mq.bridge:main"
turnstone-console = "turnstone.console.server:main"
turnstone-sim = "turnstone.sim.cli:main"
turnstone-admin = "turnstone.admin:main"
turnstone-channel = "turnstone.channels.cli:main"
turnstone-bootstrap = "turnstone.bootstrap:main"
[tool.hatch.build.targets.wheel]
include = [
@@ -128,10 +135,32 @@ ignore_missing_imports = true
module = ["sqlalchemy", "sqlalchemy.*", "alembic", "alembic.*"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = ["structlog", "structlog.*"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = ["jwt", "jwt.*"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = ["anthropic", "anthropic.*"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = ["discord", "discord.*"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = ["croniter", "croniter.*"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = ["turnstone.channels.discord.*"]
disallow_subclassing_any = false
disallow_untyped_decorators = false
warn_unused_ignores = false
[[tool.mypy.overrides]]
module = "tests.*"
disallow_untyped_defs = false
File diff suppressed because it is too large Load Diff
+737 -47
View File
@@ -2,7 +2,7 @@
"openapi": "3.1.0",
"info": {
"title": "turnstone Server API",
"version": "0.3.0",
"version": "0.6.1",
"description": "Single-node workstream management, chat interaction, and real-time streaming."
},
"paths": {
@@ -314,6 +314,57 @@
}
}
},
"/v1/api/cancel": {
"post": {
"summary": "Cancel the active generation in a workstream",
"operationId": "v1_api_cancel_post",
"tags": [
"Chat"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/CancelRequest"
}
}
}
},
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/StatusResponse"
}
}
}
},
"400": {
"description": "Error 400",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
},
"404": {
"description": "Error 404",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
}
}
}
},
"/v1/api/events": {
"get": {
"summary": "Per-workstream SSE event stream",
@@ -365,12 +416,12 @@
}
}
},
"/v1/api/sessions": {
"/v1/api/workstreams/saved": {
"get": {
"summary": "List saved sessions",
"operationId": "v1_api_sessions_get",
"summary": "List saved workstreams",
"operationId": "v1_api_workstreams_saved_get",
"tags": [
"Sessions"
"Workstreams"
],
"responses": {
"200": {
@@ -378,7 +429,7 @@
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListSessionsResponse"
"$ref": "#/components/schemas/ListSavedWorkstreamsResponse"
}
}
}
@@ -427,6 +478,88 @@
}
}
},
"/v1/api/auth/setup": {
"post": {
"summary": "Create first admin user",
"operationId": "v1_api_auth_setup_post",
"tags": [
"Auth"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/AuthSetupRequest"
}
}
}
},
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/AuthSetupResponse"
}
}
}
},
"400": {
"description": "Error 400",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
},
"409": {
"description": "Error 409",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
},
"503": {
"description": "Error 503",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
}
}
}
},
"/v1/api/auth/status": {
"get": {
"summary": "Return auth state",
"operationId": "v1_api_auth_status_get",
"tags": [
"Auth"
],
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/AuthStatusResponse"
}
}
}
}
}
}
},
"/v1/api/auth/logout": {
"post": {
"summary": "Clear auth cookie",
@@ -448,6 +581,195 @@
}
}
},
"/v1/api/memories": {
"get": {
"summary": "List structured memories",
"operationId": "v1_api_memories_get",
"tags": [
"Memories"
],
"parameters": [
{
"name": "type",
"in": "query",
"required": false,
"schema": {
"type": "string"
},
"description": "Filter by memory type"
},
{
"name": "scope",
"in": "query",
"required": false,
"schema": {
"type": "string"
},
"description": "Filter by scope"
},
{
"name": "scope_id",
"in": "query",
"required": false,
"schema": {
"type": "string"
},
"description": "Filter by scope identifier"
},
{
"name": "limit",
"in": "query",
"required": false,
"schema": {
"type": "integer",
"default": 100
},
"description": "Max results (default 100, max 200)"
}
],
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListMemoriesResponse"
}
}
}
}
}
},
"post": {
"summary": "Save (upsert) a structured memory",
"operationId": "v1_api_memories_post",
"tags": [
"Memories"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/SaveMemoryRequest"
}
}
}
},
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/MemoryInfo"
}
}
}
},
"400": {
"description": "Error 400",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
}
}
}
},
"/v1/api/memories/search": {
"post": {
"summary": "Search structured memories by query",
"operationId": "v1_api_memories_search_post",
"tags": [
"Memories"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/SearchMemoriesRequest"
}
}
}
},
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ListMemoriesResponse"
}
}
}
}
}
}
},
"/v1/api/memories/{name}": {
"delete": {
"summary": "Delete a structured memory by name and scope",
"operationId": "v1_api_memories_{name}_delete",
"tags": [
"Memories"
],
"parameters": [
{
"name": "name",
"in": "path",
"required": true,
"schema": {
"type": "string"
}
},
{
"name": "scope",
"in": "query",
"required": false,
"schema": {
"type": "string"
},
"description": "Scope (default: global)"
},
{
"name": "scope_id",
"in": "query",
"required": false,
"schema": {
"type": "string"
},
"description": "Scope identifier"
}
],
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/StatusResponse"
}
}
}
},
"404": {
"description": "Error 404",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
}
}
}
},
"/health": {
"get": {
"summary": "Server health check",
@@ -503,17 +825,27 @@
"type": "object"
},
"AuthLoginRequest": {
"description": "POST /v1/api/auth/login request body.",
"description": "POST /v1/api/auth/login request body.\n\nEither username+password or token must be provided.",
"properties": {
"username": {
"default": "",
"description": "Login username",
"title": "Username",
"type": "string"
},
"password": {
"default": "",
"description": "Login password",
"title": "Password",
"type": "string"
},
"token": {
"description": "Bearer token to authenticate",
"default": "",
"description": "Legacy: bearer token to authenticate",
"title": "Token",
"type": "string"
}
},
"required": [
"token"
],
"title": "AuthLoginRequest",
"type": "object"
},
@@ -525,14 +857,35 @@
"title": "Status",
"type": "string"
},
"user_id": {
"default": "",
"description": "Authenticated user ID",
"title": "User Id",
"type": "string"
},
"role": {
"description": "Assigned role",
"description": "Legacy role",
"examples": [
"full",
"read"
],
"title": "Role",
"type": "string"
},
"scopes": {
"default": "",
"description": "Comma-separated scopes",
"examples": [
"read,write,approve"
],
"title": "Scopes",
"type": "string"
},
"jwt": {
"default": "",
"description": "JWT session token (if JWT auth is configured)",
"title": "Jwt",
"type": "string"
}
},
"required": [
@@ -541,6 +894,97 @@
"title": "AuthLoginResponse",
"type": "object"
},
"AuthSetupRequest": {
"description": "POST /v1/api/auth/setup request body.",
"properties": {
"username": {
"description": "Login username (1-64 ASCII characters)",
"title": "Username",
"type": "string"
},
"display_name": {
"description": "Display name",
"title": "Display Name",
"type": "string"
},
"password": {
"description": "Password (minimum 8 characters)",
"title": "Password",
"type": "string"
}
},
"required": [
"username",
"display_name",
"password"
],
"title": "AuthSetupRequest",
"type": "object"
},
"AuthSetupResponse": {
"description": "POST /v1/api/auth/setup success response.",
"properties": {
"status": {
"default": "ok",
"title": "Status",
"type": "string"
},
"user_id": {
"title": "User Id",
"type": "string"
},
"username": {
"title": "Username",
"type": "string"
},
"role": {
"default": "full",
"title": "Role",
"type": "string"
},
"scopes": {
"default": "approve,read,write",
"title": "Scopes",
"type": "string"
},
"jwt": {
"default": "",
"description": "JWT session token",
"title": "Jwt",
"type": "string"
}
},
"required": [
"user_id",
"username"
],
"title": "AuthSetupResponse",
"type": "object"
},
"AuthStatusResponse": {
"description": "GET /v1/api/auth/status response.",
"properties": {
"auth_enabled": {
"title": "Auth Enabled",
"type": "boolean"
},
"has_users": {
"title": "Has Users",
"type": "boolean"
},
"setup_required": {
"title": "Setup Required",
"type": "boolean"
}
},
"required": [
"auth_enabled",
"has_users",
"setup_required"
],
"title": "AuthStatusResponse",
"type": "object"
},
"SendRequest": {
"properties": {
"message": {
@@ -658,6 +1102,20 @@
"title": "CommandRequest",
"type": "object"
},
"CancelRequest": {
"properties": {
"ws_id": {
"description": "Target workstream ID",
"title": "Ws Id",
"type": "string"
}
},
"required": [
"ws_id"
],
"title": "CancelRequest",
"type": "object"
},
"CreateWorkstreamRequest": {
"properties": {
"name": {
@@ -677,6 +1135,24 @@
"description": "Auto-approve all tool calls",
"title": "Auto Approve",
"type": "boolean"
},
"resume_ws": {
"default": "",
"description": "Workstream ID to resume atomically during creation (empty = fresh start)",
"title": "Resume Ws",
"type": "string"
},
"template": {
"default": "",
"description": "Prompt template name (replaces default templates)",
"title": "Template",
"type": "string"
},
"ws_template": {
"default": "",
"description": "Workstream template name to apply defaults from",
"title": "Ws Template",
"type": "string"
}
},
"title": "CreateWorkstreamRequest",
@@ -693,6 +1169,18 @@
"description": "Assigned workstream name",
"title": "Name",
"type": "string"
},
"resumed": {
"default": false,
"description": "Whether a previous workstream was resumed",
"title": "Resumed",
"type": "boolean"
},
"message_count": {
"default": 0,
"description": "Number of messages in the resumed workstream",
"title": "Message Count",
"type": "integer"
}
},
"required": [
@@ -745,18 +1233,6 @@
"state": {
"title": "State",
"type": "string"
},
"session_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Session Id"
}
},
"required": [
@@ -837,18 +1313,6 @@
"title": "State",
"type": "string"
},
"session_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Session Id"
},
"title": {
"default": "",
"title": "Title",
@@ -903,26 +1367,26 @@
"title": "DashboardWorkstream",
"type": "object"
},
"ListSessionsResponse": {
"ListSavedWorkstreamsResponse": {
"properties": {
"sessions": {
"workstreams": {
"items": {
"$ref": "#/components/schemas/SessionInfo"
"$ref": "#/components/schemas/SavedWorkstreamInfo"
},
"title": "Sessions",
"title": "Workstreams",
"type": "array"
}
},
"required": [
"sessions"
"workstreams"
],
"title": "ListSessionsResponse",
"title": "ListSavedWorkstreamsResponse",
"type": "object"
},
"SessionInfo": {
"SavedWorkstreamInfo": {
"properties": {
"session_id": {
"title": "Session Id",
"ws_id": {
"title": "Ws Id",
"type": "string"
},
"alias": {
@@ -963,12 +1427,12 @@
}
},
"required": [
"session_id",
"ws_id",
"created",
"updated",
"message_count"
],
"title": "SessionInfo",
"title": "SavedWorkstreamInfo",
"type": "object"
},
"HealthResponse": {
@@ -1017,6 +1481,17 @@
}
],
"default": null
},
"mcp": {
"anyOf": [
{
"$ref": "#/components/schemas/McpStatus"
},
{
"type": "null"
}
],
"default": null
}
},
"required": [
@@ -1052,6 +1527,27 @@
"title": "BackendStatus",
"type": "object"
},
"McpStatus": {
"properties": {
"servers": {
"default": 0,
"title": "Servers",
"type": "integer"
},
"resources": {
"default": 0,
"title": "Resources",
"type": "integer"
},
"prompts": {
"default": 0,
"title": "Prompts",
"type": "integer"
}
},
"title": "McpStatus",
"type": "object"
},
"WorkstreamCounts": {
"properties": {
"total": {
@@ -1087,6 +1583,200 @@
},
"title": "WorkstreamCounts",
"type": "object"
},
"SaveMemoryRequest": {
"properties": {
"name": {
"description": "Memory identifier (normalized to snake_case)",
"title": "Name",
"type": "string"
},
"content": {
"description": "Memory content",
"maxLength": 65536,
"title": "Content",
"type": "string"
},
"description": {
"default": "",
"description": "Short description for relevance matching",
"title": "Description",
"type": "string"
},
"type": {
"default": "project",
"description": "Memory type",
"enum": [
"user",
"project",
"feedback",
"reference"
],
"title": "Type",
"type": "string"
},
"scope": {
"default": "global",
"description": "Memory scope",
"enum": [
"global",
"workstream",
"user"
],
"title": "Scope",
"type": "string"
},
"scope_id": {
"default": "",
"description": "Scope identifier (ws_id for workstream, user_id for user scope)",
"title": "Scope Id",
"type": "string"
}
},
"required": [
"name",
"content"
],
"title": "SaveMemoryRequest",
"type": "object"
},
"MemoryInfo": {
"properties": {
"memory_id": {
"title": "Memory Id",
"type": "string"
},
"name": {
"title": "Name",
"type": "string"
},
"description": {
"default": "",
"title": "Description",
"type": "string"
},
"type": {
"enum": [
"user",
"project",
"feedback",
"reference"
],
"title": "Type",
"type": "string"
},
"scope": {
"enum": [
"global",
"workstream",
"user"
],
"title": "Scope",
"type": "string"
},
"scope_id": {
"default": "",
"title": "Scope Id",
"type": "string"
},
"content": {
"title": "Content",
"type": "string"
},
"created": {
"title": "Created",
"type": "string"
},
"updated": {
"title": "Updated",
"type": "string"
}
},
"required": [
"memory_id",
"name",
"type",
"scope",
"content",
"created",
"updated"
],
"title": "MemoryInfo",
"type": "object"
},
"ListMemoriesResponse": {
"properties": {
"memories": {
"items": {
"$ref": "#/components/schemas/MemoryInfo"
},
"title": "Memories",
"type": "array"
},
"total": {
"default": 0,
"title": "Total",
"type": "integer"
}
},
"required": [
"memories"
],
"title": "ListMemoriesResponse",
"type": "object"
},
"SearchMemoriesRequest": {
"properties": {
"query": {
"description": "Search query text",
"title": "Query",
"type": "string"
},
"type": {
"default": "",
"description": "Filter by memory type",
"enum": [
"",
"user",
"project",
"feedback",
"reference"
],
"title": "Type",
"type": "string"
},
"scope": {
"default": "",
"description": "Filter by scope",
"enum": [
"",
"global",
"workstream",
"user"
],
"title": "Scope",
"type": "string"
},
"scope_id": {
"default": "",
"description": "Filter by scope_id",
"title": "Scope Id",
"type": "string"
},
"limit": {
"default": 20,
"description": "Max results (1-50)",
"maximum": 50,
"minimum": 1,
"title": "Limit",
"type": "integer"
}
},
"required": [
"query"
],
"title": "SearchMemoriesRequest",
"type": "object"
}
}
}
+378 -3
View File
@@ -1,17 +1,58 @@
import { BaseClient, type ClientOptions } from "./base.js";
import type { ClusterEvent } from "./events.js";
import type {
AdminListMemoriesOptions,
AdminMemoryInfo,
AdminSearchMemoriesOptions,
AuditQueryOptions,
AuditResponse,
AuthLoginResponse,
AuthSetupResponse,
AuthStatusResponse,
ClusterNodesResponse,
ClusterOverviewResponse,
ClusterSnapshotResponse,
ClusterWorkstreamsResponse,
ConsoleCreateWsRequest,
ConsoleCreateWsResponse,
ConsoleHealthResponse,
CreateMcpServerRequest,
CreatePolicyOptions,
CreateRoleOptions,
CreateScheduleRequest,
CreateTemplateOptions,
CreateWsTemplateOptions,
ImportMcpConfigResponse,
ListAdminMemoriesResponse,
ListMcpServersResponse,
ListScheduleRunsResponse,
ListSchedulesResponse,
ListSettingSchemaResponse,
ListSettingsResponse,
McpServerDetail,
NodeDetailResponse,
NodesOptions,
OrgInfo,
PromptTemplateInfo,
RoleInfo,
ScheduleInfo,
SettingInfo,
StatusResponse,
ToolPolicyInfo,
UpdateMcpServerRequest,
UpdateOrgOptions,
UpdatePolicyOptions,
UpdateRoleOptions,
UpdateScheduleRequest,
UpdateSettingOptions,
UpdateTemplateOptions,
UpdateWsTemplateOptions,
UsageQueryOptions,
UsageResponse,
UserRoleInfo,
WorkstreamsOptions,
WsTemplateInfo,
WsTemplateVersionInfo,
} from "./types.js";
/** Async client for the turnstone console API. */
@@ -26,6 +67,10 @@ export class TurnstoneConsole extends BaseClient {
return this.request("GET", "/v1/api/cluster/overview");
}
async snapshot(): Promise<ClusterSnapshotResponse> {
return this.request("GET", "/v1/api/cluster/snapshot");
}
async nodes(opts?: NodesOptions): Promise<ClusterNodesResponse> {
return this.request("GET", "/v1/api/cluster/nodes", {
params: {
@@ -70,9 +115,33 @@ export class TurnstoneConsole extends BaseClient {
// -- Auth -----------------------------------------------------------------
async login(token: string): Promise<AuthLoginResponse> {
return this.request("POST", "/v1/api/auth/login", {
json: { token },
async login(opts: {
token?: string;
username?: string;
password?: string;
}): Promise<AuthLoginResponse> {
const body =
opts.username && opts.password
? { username: opts.username, password: opts.password }
: { token: opts.token ?? "" };
return this.request("POST", "/v1/api/auth/login", { json: body });
}
async authStatus(): Promise<AuthStatusResponse> {
return this.request("GET", "/v1/api/auth/status");
}
async setup(opts: {
username: string;
displayName: string;
password: string;
}): Promise<AuthSetupResponse> {
return this.request("POST", "/v1/api/auth/setup", {
json: {
username: opts.username,
display_name: opts.displayName,
password: opts.password,
},
});
}
@@ -85,4 +154,310 @@ export class TurnstoneConsole extends BaseClient {
async health(): Promise<ConsoleHealthResponse> {
return this.request("GET", "/health");
}
// -- Schedules ------------------------------------------------------------
async listSchedules(): Promise<ListSchedulesResponse> {
return this.request("GET", "/v1/api/admin/schedules");
}
async createSchedule(opts: CreateScheduleRequest): Promise<ScheduleInfo> {
return this.request("POST", "/v1/api/admin/schedules", { json: opts });
}
async getSchedule(taskId: string): Promise<ScheduleInfo> {
return this.request("GET", `/v1/api/admin/schedules/${taskId}`);
}
async updateSchedule(
taskId: string,
opts: UpdateScheduleRequest,
): Promise<ScheduleInfo> {
return this.request("PUT", `/v1/api/admin/schedules/${taskId}`, {
json: opts,
});
}
async deleteSchedule(taskId: string): Promise<StatusResponse> {
return this.request("DELETE", `/v1/api/admin/schedules/${taskId}`);
}
async listScheduleRuns(
taskId: string,
opts?: { limit?: number },
): Promise<ListScheduleRunsResponse> {
return this.request("GET", `/v1/api/admin/schedules/${taskId}/runs`, {
params: { limit: opts?.limit ?? 50 },
});
}
// -- Governance: Roles ------------------------------------------------------
async listRoles(): Promise<{ roles: RoleInfo[] }> {
return this.request("GET", "/v1/api/admin/roles");
}
async createRole(opts: CreateRoleOptions): Promise<RoleInfo> {
return this.request("POST", "/v1/api/admin/roles", { json: opts });
}
async updateRole(roleId: string, opts: UpdateRoleOptions): Promise<RoleInfo> {
return this.request("PUT", `/v1/api/admin/roles/${roleId}`, {
json: opts,
});
}
async deleteRole(roleId: string): Promise<StatusResponse> {
return this.request("DELETE", `/v1/api/admin/roles/${roleId}`);
}
async listUserRoles(userId: string): Promise<{ roles: UserRoleInfo[] }> {
return this.request("GET", `/v1/api/admin/users/${userId}/roles`);
}
async assignRole(userId: string, roleId: string): Promise<StatusResponse> {
return this.request("POST", `/v1/api/admin/users/${userId}/roles`, {
json: { role_id: roleId },
});
}
async unassignRole(userId: string, roleId: string): Promise<StatusResponse> {
return this.request(
"DELETE",
`/v1/api/admin/users/${userId}/roles/${roleId}`,
);
}
// -- Governance: Organizations ----------------------------------------------
async listOrgs(): Promise<{ orgs: OrgInfo[] }> {
return this.request("GET", "/v1/api/admin/orgs");
}
async getOrg(orgId: string): Promise<OrgInfo> {
return this.request("GET", `/v1/api/admin/orgs/${orgId}`);
}
async updateOrg(orgId: string, opts: UpdateOrgOptions): Promise<OrgInfo> {
return this.request("PUT", `/v1/api/admin/orgs/${orgId}`, { json: opts });
}
// -- Governance: Tool Policies ----------------------------------------------
async listPolicies(): Promise<{ policies: ToolPolicyInfo[] }> {
return this.request("GET", "/v1/api/admin/policies");
}
async createPolicy(opts: CreatePolicyOptions): Promise<ToolPolicyInfo> {
return this.request("POST", "/v1/api/admin/policies", { json: opts });
}
async updatePolicy(
policyId: string,
opts: UpdatePolicyOptions,
): Promise<ToolPolicyInfo> {
return this.request("PUT", `/v1/api/admin/policies/${policyId}`, {
json: opts,
});
}
async deletePolicy(policyId: string): Promise<StatusResponse> {
return this.request("DELETE", `/v1/api/admin/policies/${policyId}`);
}
// -- Governance: Prompt Templates -------------------------------------------
async listTemplates(): Promise<{ templates: PromptTemplateInfo[] }> {
return this.request("GET", "/v1/api/admin/templates");
}
async createTemplate(
opts: CreateTemplateOptions,
): Promise<PromptTemplateInfo> {
return this.request("POST", "/v1/api/admin/templates", { json: opts });
}
async updateTemplate(
templateId: string,
opts: UpdateTemplateOptions,
): Promise<PromptTemplateInfo> {
return this.request("PUT", `/v1/api/admin/templates/${templateId}`, {
json: opts,
});
}
async deleteTemplate(templateId: string): Promise<StatusResponse> {
return this.request("DELETE", `/v1/api/admin/templates/${templateId}`);
}
// -- Governance: Workstream Templates ----------------------------------------
async listWsTemplates(): Promise<WsTemplateInfo[]> {
const data = await this.request<{ ws_templates: WsTemplateInfo[] }>(
"GET",
"/v1/api/admin/ws-templates",
);
return data.ws_templates || [];
}
async createWsTemplate(
opts: CreateWsTemplateOptions,
): Promise<WsTemplateInfo> {
return this.request("POST", "/v1/api/admin/ws-templates", {
json: opts,
});
}
async getWsTemplate(wsTemplateId: string): Promise<WsTemplateInfo> {
return this.request("GET", `/v1/api/admin/ws-templates/${wsTemplateId}`);
}
async updateWsTemplate(
wsTemplateId: string,
opts: UpdateWsTemplateOptions,
): Promise<WsTemplateInfo> {
return this.request("PUT", `/v1/api/admin/ws-templates/${wsTemplateId}`, {
json: opts,
});
}
async deleteWsTemplate(wsTemplateId: string): Promise<void> {
await this.request("DELETE", `/v1/api/admin/ws-templates/${wsTemplateId}`);
}
async listWsTemplateVersions(
wsTemplateId: string,
): Promise<WsTemplateVersionInfo[]> {
const data = await this.request<{ versions: WsTemplateVersionInfo[] }>(
"GET",
`/v1/api/admin/ws-templates/${wsTemplateId}/versions`,
);
return data.versions || [];
}
// -- Governance: Usage & Audit ----------------------------------------------
async getUsage(opts: UsageQueryOptions): Promise<UsageResponse> {
const params: Record<string, string> = { since: opts.since };
if (opts.until) params.until = opts.until;
if (opts.user_id) params.user_id = opts.user_id;
if (opts.model) params.model = opts.model;
if (opts.group_by) params.group_by = opts.group_by;
return this.request("GET", "/v1/api/admin/usage", { params });
}
async getAudit(opts?: AuditQueryOptions): Promise<AuditResponse> {
const params: Record<string, string> = {};
if (opts?.action) params.action = opts.action;
if (opts?.user_id) params.user_id = opts.user_id;
if (opts?.since) params.since = opts.since;
if (opts?.until) params.until = opts.until;
if (opts?.limit !== undefined) params.limit = String(opts.limit);
if (opts?.offset !== undefined) params.offset = String(opts.offset);
return this.request("GET", "/v1/api/admin/audit", { params });
}
// -- Admin: Memories ------------------------------------------------------
async listMemories(
opts?: AdminListMemoriesOptions,
): Promise<ListAdminMemoriesResponse> {
const params: Record<string, string | number> = {};
if (opts?.type) params.type = opts.type;
if (opts?.scope) params.scope = opts.scope;
if (opts?.scope_id) params.scope_id = opts.scope_id;
if (opts?.limit !== undefined) params.limit = opts.limit;
return this.request("GET", "/v1/api/admin/memories", { params });
}
async searchMemories(
opts: AdminSearchMemoriesOptions,
): Promise<ListAdminMemoriesResponse> {
const params: Record<string, string | number> = { q: opts.q };
if (opts.type) params.type = opts.type;
if (opts.scope) params.scope = opts.scope;
if (opts.scope_id) params.scope_id = opts.scope_id;
if (opts.limit !== undefined) params.limit = opts.limit;
return this.request("GET", "/v1/api/admin/memories/search", { params });
}
async getMemory(memoryId: string): Promise<AdminMemoryInfo> {
return this.request("GET", `/v1/api/admin/memories/${memoryId}`);
}
async deleteMemory(memoryId: string): Promise<StatusResponse> {
return this.request("DELETE", `/v1/api/admin/memories/${memoryId}`);
}
// -- System: Settings -------------------------------------------------------
async listSettings(): Promise<ListSettingsResponse> {
return this.request("GET", "/v1/api/admin/settings");
}
async getSettingsSchema(): Promise<ListSettingSchemaResponse> {
return this.request("GET", "/v1/api/admin/settings/schema");
}
async updateSetting(
key: string,
opts: UpdateSettingOptions,
): Promise<SettingInfo> {
return this.request("PUT", `/v1/api/admin/settings/${key}`, {
json: opts,
});
}
async deleteSetting(key: string, nodeId?: string): Promise<StatusResponse> {
const params: Record<string, string> = {};
if (nodeId) params.node_id = nodeId;
return this.request("DELETE", `/v1/api/admin/settings/${key}`, {
params,
});
}
// -- MCP servers ----------------------------------------------------------
async listMcpServers(opts?: {
reveal?: boolean;
}): Promise<ListMcpServersResponse> {
const params: Record<string, string> = {};
if (opts?.reveal) params.reveal = "true";
return this.request("GET", "/v1/api/admin/mcp-servers", { params });
}
async createMcpServer(
body: CreateMcpServerRequest,
): Promise<McpServerDetail> {
return this.request("POST", "/v1/api/admin/mcp-servers", { json: body });
}
async getMcpServer(serverId: string): Promise<McpServerDetail> {
return this.request("GET", `/v1/api/admin/mcp-servers/${serverId}`);
}
async updateMcpServer(
serverId: string,
body: UpdateMcpServerRequest,
): Promise<McpServerDetail> {
return this.request("PUT", `/v1/api/admin/mcp-servers/${serverId}`, {
json: body,
});
}
async deleteMcpServer(serverId: string): Promise<StatusResponse> {
return this.request("DELETE", `/v1/api/admin/mcp-servers/${serverId}`);
}
async reloadMcpServers(): Promise<StatusResponse> {
return this.request("POST", "/v1/api/admin/mcp-servers/reload");
}
async importMcpConfig(
config: Record<string, unknown>,
): Promise<ImportMcpConfigResponse> {
return this.request("POST", "/v1/api/admin/mcp-servers/import", {
json: { config },
});
}
}
+33 -1
View File
@@ -1,3 +1,5 @@
import type { ClusterOverviewResponse, ClusterSnapshotNode } from "./types.js";
// ---------------------------------------------------------------------------
// Server SSE events
// ---------------------------------------------------------------------------
@@ -46,6 +48,12 @@ export interface ApproveRequestEvent {
items: Array<Record<string, unknown>>;
}
export interface ApprovalResolvedEvent {
type: "approval_resolved";
approved: boolean;
feedback: string;
}
export interface ToolResultEvent {
type: "tool_result";
call_id: string;
@@ -93,6 +101,10 @@ export interface ClearUiEvent {
type: "clear_ui";
}
export interface CancelledEvent {
type: "cancelled";
}
// Global events
export interface WsStateEvent {
@@ -135,6 +147,7 @@ export type ServerEvent =
| StreamEndEvent
| ToolInfoEvent
| ApproveRequestEvent
| ApprovalResolvedEvent
| ToolResultEvent
| ToolOutputChunkEvent
| StatusEvent
@@ -143,6 +156,7 @@ export type ServerEvent =
| ErrorEvent
| BusyErrorEvent
| ClearUiEvent
| CancelledEvent
| WsStateEvent
| WsActivityEvent
| WsRenameEvent
@@ -191,6 +205,13 @@ export interface ClusterWsRenameEvent {
name: string;
}
export interface ClusterSnapshotEvent {
type: "snapshot";
nodes: ClusterSnapshotNode[];
overview: ClusterOverviewResponse;
timestamp: number;
}
/** Discriminated union of all console cluster SSE event types. */
export type ClusterEvent =
| NodeJoinedEvent
@@ -198,7 +219,8 @@ export type ClusterEvent =
| ClusterStateEvent
| ClusterWsCreatedEvent
| ClusterWsClosedEvent
| ClusterWsRenameEvent;
| ClusterWsRenameEvent
| ClusterSnapshotEvent;
// ---------------------------------------------------------------------------
// Type guards
@@ -234,6 +256,16 @@ export function isApproveRequestEvent(
return e.type === "approve_request";
}
export function isApprovalResolvedEvent(
e: ServerEvent,
): e is ApprovalResolvedEvent {
return e.type === "approval_resolved";
}
export function isPlanReviewEvent(e: ServerEvent): e is PlanReviewEvent {
return e.type === "plan_review";
}
export function isCancelledEvent(e: ServerEvent): e is CancelledEvent {
return e.type === "cancelled";
}
+64 -2
View File
@@ -37,6 +37,7 @@ export type {
StreamEndEvent,
ToolInfoEvent,
ApproveRequestEvent,
ApprovalResolvedEvent,
ToolResultEvent,
ToolOutputChunkEvent,
StatusEvent,
@@ -45,6 +46,7 @@ export type {
ErrorEvent,
BusyErrorEvent,
ClearUiEvent,
CancelledEvent,
WsStateEvent,
WsActivityEvent,
WsRenameEvent,
@@ -55,6 +57,7 @@ export type {
ClusterWsCreatedEvent,
ClusterWsClosedEvent,
ClusterWsRenameEvent,
ClusterSnapshotEvent,
} from "./events.js";
export {
@@ -65,7 +68,9 @@ export {
isToolResultEvent,
isWsStateEvent,
isApproveRequestEvent,
isApprovalResolvedEvent,
isPlanReviewEvent,
isCancelledEvent,
} from "./events.js";
// Request/response types
@@ -83,28 +88,85 @@ export type {
DashboardWorkstream,
DashboardAggregate,
DashboardResponse,
SessionInfo,
ListSessionsResponse,
SavedWorkstreamInfo,
ListSavedWorkstreamsResponse,
BackendStatus,
McpStatus,
WorkstreamCounts,
HealthResponse,
AuthLoginRequest,
AuthLoginResponse,
AuthStatusResponse,
AuthSetupResponse,
StatusResponse,
ErrorResponse,
ClusterOverviewResponse,
ClusterNodeInfo,
ClusterNodesResponse,
ClusterSnapshotNode,
ClusterSnapshotResponse,
ClusterWorkstreamInfo,
ClusterWorkstreamsResponse,
NodeDetailResponse,
ConsoleCreateWsRequest,
ConsoleCreateWsResponse,
ConsoleHealthResponse,
CreateScheduleRequest,
UpdateScheduleRequest,
ScheduleInfo,
ScheduleRunInfo,
ListSchedulesResponse,
ListScheduleRunsResponse,
RoleInfo,
CreateRoleOptions,
UpdateRoleOptions,
UserRoleInfo,
OrgInfo,
UpdateOrgOptions,
ToolPolicyInfo,
CreatePolicyOptions,
UpdatePolicyOptions,
PromptTemplateInfo,
CreateTemplateOptions,
UpdateTemplateOptions,
WsTemplateInfo,
CreateWsTemplateOptions,
UpdateWsTemplateOptions,
WsTemplateVersionInfo,
UsageBreakdownItem,
UsageResponse,
UsageQueryOptions,
AuditEventInfo,
AuditQueryOptions,
AuditResponse,
TurnResult,
SendAndWaitOptions,
NodesOptions,
WorkstreamsOptions,
// Memory types
SaveMemoryRequest,
MemoryInfo,
ListMemoriesResponse,
SearchMemoriesRequest,
ListMemoriesOptions,
DeleteMemoryOptions,
AdminMemoryInfo,
ListAdminMemoriesResponse,
AdminListMemoriesOptions,
AdminSearchMemoriesOptions,
// Settings types
SettingInfo,
ListSettingsResponse,
SettingSchemaInfo,
ListSettingSchemaResponse,
UpdateSettingOptions,
// MCP server types
McpServerStatus,
McpServerDetail,
ListMcpServersResponse,
CreateMcpServerRequest,
UpdateMcpServerRequest,
ImportMcpConfigResponse,
} from "./types.js";
// SSE parser (for advanced usage)
+78 -7
View File
@@ -2,12 +2,20 @@ import { BaseClient, type ClientOptions } from "./base.js";
import type { ServerEvent } from "./events.js";
import type {
AuthLoginResponse,
AuthSetupResponse,
AuthStatusResponse,
CreateWorkstreamRequest,
CreateWorkstreamResponse,
DashboardResponse,
DeleteMemoryOptions,
HealthResponse,
ListSessionsResponse,
ListMemoriesOptions,
ListMemoriesResponse,
ListSavedWorkstreamsResponse,
ListWorkstreamsResponse,
MemoryInfo,
SaveMemoryRequest,
SearchMemoriesRequest,
SendAndWaitOptions,
SendResponse,
StatusResponse,
@@ -84,6 +92,12 @@ export class TurnstoneServer extends BaseClient {
});
}
async cancel(wsId: string): Promise<StatusResponse> {
return this.request("POST", "/v1/api/cancel", {
json: { ws_id: wsId },
});
}
// -- Streaming ------------------------------------------------------------
async *streamEvents(wsId: string): AsyncIterableIterator<ServerEvent> {
@@ -176,17 +190,74 @@ export class TurnstoneServer extends BaseClient {
return result;
}
// -- Sessions -------------------------------------------------------------
// -- Saved workstreams ----------------------------------------------------
async listSessions(): Promise<ListSessionsResponse> {
return this.request("GET", "/v1/api/sessions");
async listSavedWorkstreams(): Promise<ListSavedWorkstreamsResponse> {
return this.request("GET", "/v1/api/workstreams/saved");
}
// -- Memories -------------------------------------------------------------
async listMemories(
opts?: ListMemoriesOptions,
): Promise<ListMemoriesResponse> {
const params: Record<string, string | number> = {};
if (opts?.type) params.type = opts.type;
if (opts?.scope) params.scope = opts.scope;
if (opts?.scope_id) params.scope_id = opts.scope_id;
if (opts?.limit !== undefined) params.limit = opts.limit;
return this.request("GET", "/v1/api/memories", { params });
}
async saveMemory(opts: SaveMemoryRequest): Promise<MemoryInfo> {
return this.request("POST", "/v1/api/memories", { json: opts });
}
async searchMemories(
opts: SearchMemoriesRequest,
): Promise<ListMemoriesResponse> {
return this.request("POST", "/v1/api/memories/search", { json: opts });
}
async deleteMemory(
name: string,
opts?: DeleteMemoryOptions,
): Promise<StatusResponse> {
const params: Record<string, string> = {};
if (opts?.scope) params.scope = opts.scope;
if (opts?.scope_id) params.scope_id = opts.scope_id;
return this.request("DELETE", `/v1/api/memories/${name}`, { params });
}
// -- Auth -----------------------------------------------------------------
async login(token: string): Promise<AuthLoginResponse> {
return this.request("POST", "/v1/api/auth/login", {
json: { token },
async login(opts: {
token?: string;
username?: string;
password?: string;
}): Promise<AuthLoginResponse> {
const body =
opts.username && opts.password
? { username: opts.username, password: opts.password }
: { token: opts.token ?? "" };
return this.request("POST", "/v1/api/auth/login", { json: body });
}
async authStatus(): Promise<AuthStatusResponse> {
return this.request("GET", "/v1/api/auth/status");
}
async setup(opts: {
username: string;
displayName: string;
password: string;
}): Promise<AuthSetupResponse> {
return this.request("POST", "/v1/api/auth/setup", {
json: {
username: opts.username,
display_name: opts.displayName,
password: opts.password,
},
});
}
+554 -7
View File
@@ -17,6 +17,24 @@ export interface AuthLoginRequest {
export interface AuthLoginResponse {
status: string;
role: string;
scopes?: string;
jwt?: string;
user_id?: string;
}
export interface AuthStatusResponse {
auth_enabled: boolean;
has_users: boolean;
setup_required: boolean;
}
export interface AuthSetupResponse {
status: string;
user_id: string;
username: string;
role: string;
scopes: string;
jwt?: string;
}
// ---------------------------------------------------------------------------
@@ -53,11 +71,16 @@ export interface CreateWorkstreamRequest {
name?: string;
model?: string;
auto_approve?: boolean;
resume_ws?: string;
template?: string;
ws_template?: string;
}
export interface CreateWorkstreamResponse {
ws_id: string;
name: string;
resumed?: boolean;
message_count?: number;
}
export interface CloseWorkstreamRequest {
@@ -68,7 +91,6 @@ export interface WorkstreamInfo {
id: string;
name: string;
state: string;
session_id?: string | null;
}
export interface ListWorkstreamsResponse {
@@ -79,7 +101,6 @@ export interface DashboardWorkstream {
id: string;
name: string;
state: string;
session_id?: string | null;
title?: string;
tokens?: number;
context_ratio?: number;
@@ -106,11 +127,11 @@ export interface DashboardResponse {
}
// ---------------------------------------------------------------------------
// Server API — Sessions
// Server API — Saved workstreams
// ---------------------------------------------------------------------------
export interface SessionInfo {
session_id: string;
export interface SavedWorkstreamInfo {
ws_id: string;
alias?: string | null;
title?: string | null;
created: string;
@@ -118,8 +139,8 @@ export interface SessionInfo {
message_count: number;
}
export interface ListSessionsResponse {
sessions: SessionInfo[];
export interface ListSavedWorkstreamsResponse {
workstreams: SavedWorkstreamInfo[];
}
// ---------------------------------------------------------------------------
@@ -140,6 +161,12 @@ export interface WorkstreamCounts {
error?: number;
}
export interface McpStatus {
servers: number;
resources: number;
prompts: number;
}
export interface HealthResponse {
status: string;
version?: string;
@@ -147,6 +174,7 @@ export interface HealthResponse {
model?: string;
workstreams?: WorkstreamCounts;
backend?: BackendStatus | null;
mcp?: McpStatus | null;
}
// ---------------------------------------------------------------------------
@@ -225,11 +253,30 @@ export interface NodeDetailResponse {
aggregate: ClusterAggregate;
}
export interface ClusterSnapshotNode {
node_id: string;
server_url: string;
max_ws: number;
reachable: boolean;
version: string;
health: Record<string, string>;
aggregate: Record<string, number>;
workstreams: ClusterWorkstreamInfo[];
}
export interface ClusterSnapshotResponse {
nodes: ClusterSnapshotNode[];
overview: ClusterOverviewResponse;
timestamp: number;
}
export interface ConsoleCreateWsRequest {
node_id?: string;
name?: string;
model?: string;
initial_message?: string;
template?: string;
ws_template?: string;
}
export interface ConsoleCreateWsResponse {
@@ -247,6 +294,319 @@ export interface ConsoleHealthResponse {
versions: string[];
}
// ---------------------------------------------------------------------------
// Console API — Schedules
// ---------------------------------------------------------------------------
export interface CreateScheduleRequest {
name: string;
schedule_type: string;
initial_message: string;
description?: string;
cron_expr?: string;
at_time?: string;
target_mode?: string;
model?: string;
auto_approve?: boolean;
auto_approve_tools?: string[];
enabled?: boolean;
}
export interface UpdateScheduleRequest {
name?: string;
description?: string;
schedule_type?: string;
cron_expr?: string;
at_time?: string;
target_mode?: string;
model?: string;
initial_message?: string;
auto_approve?: boolean;
auto_approve_tools?: string[];
enabled?: boolean;
}
export interface ScheduleInfo {
task_id: string;
name: string;
description: string;
schedule_type: string;
cron_expr: string;
at_time: string;
target_mode: string;
model: string;
initial_message: string;
auto_approve: boolean;
auto_approve_tools: string[];
enabled: boolean;
created_by: string;
last_run: string | null;
next_run: string | null;
created: string;
updated: string;
}
export interface ListSchedulesResponse {
schedules: ScheduleInfo[];
}
export interface ScheduleRunInfo {
run_id: string;
task_id: string;
node_id: string;
ws_id: string;
correlation_id: string;
started: string;
status: string;
error: string;
}
export interface ListScheduleRunsResponse {
runs: ScheduleRunInfo[];
}
// ---------------------------------------------------------------------------
// Console API — Governance: Roles
// ---------------------------------------------------------------------------
export interface RoleInfo {
role_id: string;
name: string;
display_name: string;
permissions: string;
builtin: boolean;
org_id: string;
created: string;
updated: string;
}
export interface CreateRoleOptions {
name: string;
display_name?: string;
permissions?: string;
}
export interface UpdateRoleOptions {
display_name?: string;
permissions?: string;
}
export interface UserRoleInfo extends RoleInfo {
assigned_by: string;
assignment_created: string;
}
// ---------------------------------------------------------------------------
// Console API — Governance: Orgs
// ---------------------------------------------------------------------------
export interface OrgInfo {
org_id: string;
name: string;
display_name: string;
settings: string;
created: string;
updated: string;
}
export interface UpdateOrgOptions {
display_name?: string;
settings?: string;
}
// ---------------------------------------------------------------------------
// Console API — Governance: Tool Policies
// ---------------------------------------------------------------------------
export interface ToolPolicyInfo {
policy_id: string;
name: string;
tool_pattern: string;
action: string;
priority: number;
org_id: string;
enabled: boolean;
created_by: string;
created: string;
updated: string;
}
export interface CreatePolicyOptions {
name: string;
tool_pattern: string;
action: string;
priority?: number;
org_id?: string;
enabled?: boolean;
}
export interface UpdatePolicyOptions {
name?: string;
tool_pattern?: string;
action?: string;
priority?: number;
enabled?: boolean;
}
// ---------------------------------------------------------------------------
// Console API — Governance: Prompt Templates
// ---------------------------------------------------------------------------
export interface PromptTemplateInfo {
template_id: string;
name: string;
category: string;
content: string;
variables: string;
is_default: boolean;
org_id: string;
created_by: string;
created: string;
updated: string;
origin: string;
mcp_server: string;
readonly: boolean;
}
export interface CreateTemplateOptions {
name: string;
content: string;
category?: string;
variables?: string;
is_default?: boolean;
org_id?: string;
}
export interface UpdateTemplateOptions {
name?: string;
content?: string;
category?: string;
variables?: string;
is_default?: boolean;
}
// ---------------------------------------------------------------------------
// Console API — Governance: Workstream Templates
// ---------------------------------------------------------------------------
export interface WsTemplateInfo {
ws_template_id: string;
name: string;
description: string;
system_prompt: string;
prompt_template: string;
prompt_template_hash: string;
model: string;
auto_approve: boolean;
auto_approve_tools: string;
temperature: number | null;
reasoning_effort: string;
max_tokens: number | null;
token_budget: number;
agent_max_turns: number | null;
notify_on_complete: string;
org_id: string;
created_by: string;
enabled: boolean;
version: number;
created: string;
updated: string;
}
export interface CreateWsTemplateOptions {
name: string;
description?: string;
system_prompt?: string;
prompt_template?: string;
model?: string;
auto_approve?: boolean;
auto_approve_tools?: string;
temperature?: number | null;
reasoning_effort?: string;
max_tokens?: number | null;
token_budget?: number;
agent_max_turns?: number | null;
notify_on_complete?: string;
org_id?: string;
enabled?: boolean;
}
export interface UpdateWsTemplateOptions {
name?: string;
description?: string;
system_prompt?: string;
prompt_template?: string;
model?: string;
auto_approve?: boolean;
auto_approve_tools?: string;
temperature?: number | null;
reasoning_effort?: string;
max_tokens?: number | null;
token_budget?: number;
agent_max_turns?: number | null;
notify_on_complete?: string;
enabled?: boolean;
}
export interface WsTemplateVersionInfo {
id: number;
ws_template_id: string;
version: number;
snapshot: string;
changed_by: string;
created: string;
}
// ---------------------------------------------------------------------------
// Console API — Governance: Usage & Audit
// ---------------------------------------------------------------------------
export interface UsageBreakdownItem {
key?: string;
prompt_tokens: number;
completion_tokens: number;
tool_calls_count: number;
}
export interface UsageResponse {
summary: UsageBreakdownItem[];
breakdown: UsageBreakdownItem[];
}
export interface UsageQueryOptions {
since: string;
until?: string;
user_id?: string;
model?: string;
group_by?: string;
}
export interface AuditEventInfo {
event_id: string;
timestamp: string;
user_id: string;
action: string;
resource_type: string;
resource_id: string;
detail: string;
ip_address: string;
created: string;
}
export interface AuditQueryOptions {
action?: string;
user_id?: string;
since?: string;
until?: string;
limit?: number;
offset?: number;
}
export interface AuditResponse {
events: AuditEventInfo[];
total: number;
}
// ---------------------------------------------------------------------------
// SDK-specific types
// ---------------------------------------------------------------------------
@@ -284,5 +644,192 @@ export interface WorkstreamsOptions {
per_page?: number;
}
// -- Server API: Memories ---------------------------------------------------
export interface SaveMemoryRequest {
name: string;
content: string;
description?: string;
type?: "user" | "project" | "feedback" | "reference";
scope?: "global" | "workstream" | "user";
scope_id?: string;
}
export interface MemoryInfo {
memory_id: string;
name: string;
description: string;
type: string;
scope: string;
scope_id: string;
content: string;
created: string;
updated: string;
}
export interface ListMemoriesResponse {
memories: MemoryInfo[];
total: number;
}
export interface SearchMemoriesRequest {
query: string;
type?: string;
scope?: string;
scope_id?: string;
limit?: number;
}
export interface ListMemoriesOptions {
type?: string;
scope?: string;
scope_id?: string;
limit?: number;
}
export interface DeleteMemoryOptions {
scope?: string;
scope_id?: string;
}
// -- Console API: Admin Memories --------------------------------------------
export interface AdminMemoryInfo {
memory_id: string;
name: string;
description: string;
type: string;
scope: string;
scope_id: string;
content: string;
created: string;
updated: string;
last_accessed: string;
access_count: number;
}
export interface ListAdminMemoriesResponse {
memories: AdminMemoryInfo[];
total: number;
}
export interface AdminListMemoriesOptions {
type?: string;
scope?: string;
scope_id?: string;
limit?: number;
}
export interface AdminSearchMemoriesOptions {
q: string;
type?: string;
scope?: string;
scope_id?: string;
limit?: number;
}
// -- Console API: MCP Servers -----------------------------------------------
export interface McpServerStatus {
connected: boolean;
tools: number;
resources: number;
prompts: number;
error: string;
}
export interface McpServerDetail {
server_id: string;
name: string;
transport: string;
command: string;
args: string;
url: string;
headers: string;
env: string;
auto_approve: boolean;
enabled: boolean;
created_by: string;
created: string;
updated: string;
status: Record<string, McpServerStatus>;
}
export interface ListMcpServersResponse {
servers: McpServerDetail[];
}
export interface CreateMcpServerRequest {
name: string;
transport: string;
command?: string;
args?: string[];
url?: string;
headers?: Record<string, string>;
env?: Record<string, string>;
auto_approve?: boolean;
enabled?: boolean;
}
export interface UpdateMcpServerRequest {
name?: string;
transport?: string;
command?: string;
args?: string[];
url?: string;
headers?: Record<string, string>;
env?: Record<string, string>;
auto_approve?: boolean;
enabled?: boolean;
}
export interface ImportMcpConfigResponse {
imported: string[];
skipped: string[];
errors: string[];
}
// -- Console API: System Settings -------------------------------------------
export interface SettingInfo {
key: string;
value: unknown;
source: string;
type: string;
description: string;
section: string;
is_secret: boolean;
node_id: string;
changed_by: string;
updated: string;
restart_required: boolean;
}
export interface ListSettingsResponse {
settings: SettingInfo[];
}
export interface SettingSchemaInfo {
key: string;
type: string;
default: unknown;
description: string;
section: string;
is_secret: boolean;
min_value: number | null;
max_value: number | null;
choices: string[] | null;
restart_required: boolean;
}
export interface ListSettingSchemaResponse {
schema: SettingSchemaInfo[];
}
export interface UpdateSettingOptions {
value: unknown;
node_id?: string;
}
// Re-export event types for convenience
export type { ServerEvent, ClusterEvent } from "./events.js";
+10
View File
@@ -6,6 +6,7 @@ import {
isToolResultEvent,
isWsStateEvent,
isApproveRequestEvent,
isApprovalResolvedEvent,
isPlanReviewEvent,
isReasoningEvent,
} from "../src/events.js";
@@ -62,6 +63,15 @@ describe("event type guards", () => {
expect(isApproveRequestEvent(e)).toBe(true);
});
it("isApprovalResolvedEvent", () => {
const e: ServerEvent = {
type: "approval_resolved",
approved: false,
feedback: "Approval timed out",
};
expect(isApprovalResolvedEvent(e)).toBe(true);
});
it("isPlanReviewEvent", () => {
const e: ServerEvent = { type: "plan_review", content: "## Plan" };
expect(isPlanReviewEvent(e)).toBe(true);
+20 -2
View File
@@ -59,7 +59,7 @@
"user_prompt": "Change the default port from 8000 to 9000 in both server.py and config.py",
"setup": {
"files": {
"server.py": "from config import PORT\n\ndef run():\n print(f'Listening on port {PORT}')\n",
"server.py": "import socket\n\ndef run():\n sock = socket.socket()\n sock.bind(('localhost', 8000))\n print('Server running on port 8000')\n",
"config.py": "PORT = 8000\nHOST = 'localhost'\n"
}
},
@@ -126,7 +126,7 @@
"app.py": "import sqlite3\nfrom flask import Flask, jsonify\n\napp = Flask(__name__)\nDB = 'data.db'\n\ndef get_db():\n return sqlite3.connect(DB)\n\n@app.route('/users')\ndef list_users():\n db = get_db()\n users = db.execute('SELECT * FROM users').fetchall()\n db.close()\n return jsonify(users)\n\n@app.route('/users/<int:uid>')\ndef get_user(uid):\n db = get_db()\n user = db.execute('SELECT * FROM users WHERE id=?', (uid,)).fetchone()\n db.close()\n return jsonify(user)\n\nif __name__ == '__main__':\n app.run(port=8000)\n"
}
},
"expected_actions": [{ "tool": "plan" }],
"expected_actions": [{ "tool": "create_plan" }],
"match_mode": "subset"
},
{
@@ -175,6 +175,24 @@
{ "tool": "man", "args_pattern": { "page": "tar" } }
],
"match_mode": "subset"
},
{
"id": "math-calculation",
"description": "Use the math tool for precise calculations, not bash or mental math",
"user_prompt": "What is 2^64 - 1? Use the math tool to calculate it precisely.",
"expected_actions": [
{ "tool": "math", "args_pattern": { "code": "2.*64" } }
],
"match_mode": "subset"
},
{
"id": "web-search-query",
"description": "Use web_search for general knowledge lookups, not web_fetch",
"user_prompt": "Search the web for the current population of Tokyo",
"expected_actions": [
{ "tool": "web_search", "args_pattern": { "query": "Tokyo" } }
],
"match_mode": "subset"
}
]
}
+181
View File
@@ -0,0 +1,181 @@
"""Tests for turnstone.mq.async_broker.AsyncRedisBroker."""
from __future__ import annotations
import asyncio
import contextlib
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from turnstone.mq.async_broker import AsyncRedisBroker
@pytest.fixture
def broker() -> AsyncRedisBroker:
return AsyncRedisBroker(host="localhost", port=6379, db=0, prefix="test", response_ttl=120)
@pytest.fixture
def mock_redis() -> AsyncMock:
"""Return a mock Redis client with common async methods."""
r = AsyncMock()
r.rpush = AsyncMock()
r.publish = AsyncMock()
r.expire = AsyncMock()
r.get = AsyncMock(return_value=None)
r.set = AsyncMock()
r.delete = AsyncMock()
r.blpop = AsyncMock(return_value=None)
ps = AsyncMock()
ps.subscribe = AsyncMock()
ps.unsubscribe = AsyncMock()
ps.close = AsyncMock()
ps.get_message = AsyncMock(return_value=None)
r.pubsub = MagicMock(return_value=ps)
return r
def _inject_redis(broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
"""Inject a mock Redis client into the broker, simulating connect()."""
broker._redis = mock_redis
broker._pubsub = mock_redis.pubsub()
class TestConstructor:
def test_stores_config(self) -> None:
b = AsyncRedisBroker(host="h", port=1234, db=2, prefix="pfx", password="pw")
assert b._host == "h"
assert b._port == 1234
assert b._db == 2
assert b._prefix == "pfx"
assert b._password == "pw"
assert b._redis is None
def test_defaults(self) -> None:
b = AsyncRedisBroker()
assert b._host == "localhost"
assert b._port == 6379
assert b._prefix == "turnstone"
class TestConnect:
@pytest.mark.anyio
async def test_creates_connection(self) -> None:
b = AsyncRedisBroker()
mock_r = AsyncMock()
mock_r.pubsub = MagicMock(return_value=AsyncMock())
with patch("redis.asyncio.Redis", return_value=mock_r):
await b.connect()
assert b._redis is mock_r
assert b._pubsub is not None
@pytest.mark.anyio
async def test_connect_idempotent(
self, broker: AsyncRedisBroker, mock_redis: AsyncMock
) -> None:
_inject_redis(broker, mock_redis)
old = broker._redis
await broker.connect()
assert broker._redis is old
class TestPushInbound:
@pytest.mark.anyio
async def test_shared_queue(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
await broker.push_inbound('{"type":"send"}')
mock_redis.rpush.assert_awaited_once_with("test:inbound", '{"type":"send"}')
@pytest.mark.anyio
async def test_per_node_queue(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
await broker.push_inbound('{"type":"send"}', node_id="node-1")
mock_redis.rpush.assert_awaited_once_with("test:inbound:node-1", '{"type":"send"}')
class TestPublishOutbound:
@pytest.mark.anyio
async def test_publishes(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
await broker.publish_outbound("test:events:global", '{"event":"data"}')
mock_redis.publish.assert_awaited_once_with("test:events:global", '{"event":"data"}')
class TestPushResponse:
@pytest.mark.anyio
async def test_rpush_and_expire(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
await broker.push_response("req-123", '{"ok":true}')
mock_redis.rpush.assert_awaited_once_with("test:resp:req-123", '{"ok":true}')
mock_redis.expire.assert_awaited_once_with("test:resp:req-123", 120)
class TestSubscribe:
@pytest.mark.anyio
async def test_creates_task(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
await broker.subscribe("test:events:global", lambda msg: None)
assert "test:events:global" in broker._callbacks
assert broker._listener_task is not None
assert isinstance(broker._listener_task, asyncio.Task)
# Clean up.
broker._listener_task.cancel()
with contextlib.suppress(asyncio.CancelledError):
await broker._listener_task
class TestUnsubscribe:
@pytest.mark.anyio
async def test_cancels_task(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
await broker.subscribe("test:events:ch", lambda msg: None)
assert "test:events:ch" in broker._callbacks
await broker.unsubscribe("test:events:ch")
assert "test:events:ch" not in broker._callbacks
class TestRoutingPrimitives:
@pytest.mark.anyio
async def test_get_ws_owner(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
mock_redis.get.return_value = "node-1"
result = await broker.get_ws_owner("ws-abc")
mock_redis.get.assert_awaited_once_with("test:ws:ws-abc")
assert result == "node-1"
@pytest.mark.anyio
async def test_set_ws_owner(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
await broker.set_ws_owner("ws-abc", "node-2")
mock_redis.set.assert_awaited_once_with("test:ws:ws-abc", "node-2")
@pytest.mark.anyio
async def test_set_ws_owner_with_ttl(
self, broker: AsyncRedisBroker, mock_redis: AsyncMock
) -> None:
_inject_redis(broker, mock_redis)
await broker.set_ws_owner("ws-abc", "node-2", ttl=300)
mock_redis.set.assert_awaited_once_with("test:ws:ws-abc", "node-2", ex=300)
@pytest.mark.anyio
async def test_del_ws_owner(self, broker: AsyncRedisBroker, mock_redis: AsyncMock) -> None:
_inject_redis(broker, mock_redis)
await broker.del_ws_owner("ws-abc")
mock_redis.delete.assert_awaited_once_with("test:ws:ws-abc")
class TestClose:
@pytest.mark.anyio
async def test_cancels_tasks_and_closes(
self, broker: AsyncRedisBroker, mock_redis: AsyncMock
) -> None:
_inject_redis(broker, mock_redis)
await broker.subscribe("ch1", lambda m: None)
assert len(broker._callbacks) == 1
assert broker._listener_task is not None
await broker.close()
assert len(broker._callbacks) == 0
assert broker._listener_task is None
assert broker._redis is None
assert broker._pubsub is None
+58
View File
@@ -0,0 +1,58 @@
"""Tests for turnstone.core.audit."""
import json
import pytest
from turnstone.core.audit import record_audit
from turnstone.core.storage._sqlite import SQLiteBackend
@pytest.fixture
def storage(tmp_path):
path = str(tmp_path / "test.db")
backend = SQLiteBackend(path)
yield backend
backend.close()
def test_record_audit_basic(storage):
record_audit(
storage, "user-1", "user.create", "user", "u123", {"username": "alice"}, "127.0.0.1"
)
events = storage.list_audit_events()
assert len(events) == 1
ev = events[0]
assert ev["user_id"] == "user-1"
assert ev["action"] == "user.create"
assert ev["resource_type"] == "user"
assert ev["resource_id"] == "u123"
assert ev["ip_address"] == "127.0.0.1"
detail = json.loads(ev["detail"])
assert detail["username"] == "alice"
def test_record_audit_no_detail(storage):
record_audit(storage, "user-1", "token.revoke", "token", "t456")
events = storage.list_audit_events()
assert len(events) == 1
assert events[0]["detail"] == "{}"
def test_record_audit_silent_on_failure():
"""record_audit should not raise even if storage is broken."""
class BrokenStorage:
def record_audit_event(self, **kw):
raise RuntimeError("boom")
# Should not raise
record_audit(BrokenStorage(), "u1", "test.action")
def test_record_audit_generates_unique_ids(storage):
record_audit(storage, "u1", "a.one")
record_audit(storage, "u1", "a.two")
events = storage.list_audit_events()
assert len(events) == 2
assert events[0]["event_id"] != events[1]["event_id"]
+414 -79
View File
@@ -1,7 +1,9 @@
"""Tests for turnstone.core.auth — bearer token authentication and cookies."""
import os
from unittest.mock import patch
import queue
import threading
from unittest.mock import MagicMock, patch
import pytest
@@ -15,7 +17,7 @@ from turnstone.core.auth import (
load_auth_config,
make_clear_cookie,
make_set_cookie,
required_role,
required_scope,
)
# ---------------------------------------------------------------------------
@@ -87,69 +89,85 @@ class TestIsPublicPath:
# ---------------------------------------------------------------------------
class TestRequiredRole:
class TestRequiredScope:
def test_get_api_needs_read(self):
assert required_role("GET", "/api/workstreams") == "read"
assert required_scope("GET", "/api/workstreams") == "read"
def test_get_events_needs_read(self):
assert required_role("GET", "/api/events") == "read"
assert required_scope("GET", "/api/events") == "read"
def test_get_dashboard_needs_read(self):
assert required_role("GET", "/api/dashboard") == "read"
def test_post_send_needs_write(self):
assert required_scope("POST", "/api/send") == "write"
def test_post_send_needs_full(self):
assert required_role("POST", "/api/send") == "full"
def test_post_approve_needs_approve(self):
assert required_scope("POST", "/api/approve") == "approve"
def test_post_approve_needs_full(self):
assert required_role("POST", "/api/approve") == "full"
def test_post_plan_needs_write(self):
assert required_scope("POST", "/api/plan") == "write"
def test_post_plan_needs_full(self):
assert required_role("POST", "/api/plan") == "full"
def test_post_command_needs_write(self):
assert required_scope("POST", "/api/command") == "write"
def test_post_command_needs_full(self):
assert required_role("POST", "/api/command") == "full"
def test_post_workstreams_new_needs_write(self):
assert required_scope("POST", "/api/workstreams/new") == "write"
def test_post_workstreams_new_needs_full(self):
assert required_role("POST", "/api/workstreams/new") == "full"
def test_post_workstreams_close_needs_write(self):
assert required_scope("POST", "/api/workstreams/close") == "write"
def test_post_workstreams_close_needs_full(self):
assert required_role("POST", "/api/workstreams/close") == "full"
def test_all_write_paths_need_full(self):
def test_all_write_paths_need_write(self):
for path in WRITE_PATHS:
assert required_role("POST", path) == "full"
scope = required_scope("POST", path)
assert scope in ("write", "approve"), f"{path} should need write or approve"
def test_post_unknown_path_needs_read(self):
assert required_role("POST", "/api/unknown") == "read"
assert required_scope("POST", "/api/unknown") == "read"
def test_v1_post_send_needs_full(self):
assert required_role("POST", "/v1/api/send") == "full"
def test_v1_post_send_needs_write(self):
assert required_scope("POST", "/v1/api/send") == "write"
def test_v1_post_approve_needs_full(self):
assert required_role("POST", "/v1/api/approve") == "full"
def test_v1_post_approve_needs_approve(self):
assert required_scope("POST", "/v1/api/approve") == "approve"
def test_v1_get_workstreams_needs_read(self):
assert required_role("GET", "/v1/api/workstreams") == "read"
assert required_scope("GET", "/v1/api/workstreams") == "read"
def test_v1_post_cluster_ws_new_needs_full(self):
assert required_role("POST", "/v1/api/cluster/workstreams/new") == "full"
def test_v1_post_cluster_ws_new_needs_write(self):
assert required_scope("POST", "/v1/api/cluster/workstreams/new") == "write"
def test_v1_all_write_paths_need_full(self):
for path in WRITE_PATHS:
v1_path = "/v1" + path
assert required_role("POST", v1_path) == "full", f"{v1_path} should need full"
def test_proxy_v1_send_needs_write(self):
assert required_scope("POST", "/node/node-a/v1/api/send") == "write"
def test_proxy_v1_send_needs_full(self):
assert required_role("POST", "/node/node-a/v1/api/send") == "full"
def test_proxy_v1_approve_needs_full(self):
assert required_role("POST", "/node/node-a/v1/api/approve") == "full"
def test_proxy_v1_cluster_ws_new_needs_full(self):
assert required_role("POST", "/node/node-a/v1/api/cluster/workstreams/new") == "full"
def test_proxy_v1_approve_needs_approve(self):
assert required_scope("POST", "/node/node-a/v1/api/approve") == "approve"
def test_proxy_v1_read_endpoint_needs_read(self):
assert required_role("GET", "/node/node-a/v1/api/workstreams") == "read"
assert required_scope("GET", "/node/node-a/v1/api/workstreams") == "read"
# Memory endpoints
def test_get_memories_needs_read(self):
assert required_scope("GET", "/api/memories") == "read"
def test_post_memories_needs_write(self):
assert required_scope("POST", "/api/memories") == "write"
def test_post_memories_search_needs_read(self):
"""Search via POST is non-mutating — requires only read scope."""
assert required_scope("POST", "/api/memories/search") == "read"
def test_delete_memory_needs_write(self):
assert required_scope("DELETE", "/api/memories/my_key") == "write"
def test_v1_post_memories_needs_write(self):
assert required_scope("POST", "/v1/api/memories") == "write"
def test_v1_delete_memory_needs_write(self):
assert required_scope("DELETE", "/v1/api/memories/test_key") == "write"
def test_admin_memories_needs_approve(self):
assert required_scope("GET", "/api/admin/memories") == "approve"
def test_admin_memory_delete_needs_approve(self):
assert required_scope("DELETE", "/api/admin/memories/some-id") == "approve"
# ---------------------------------------------------------------------------
@@ -268,12 +286,24 @@ class TestMakeSetCookie:
def test_max_age_default(self):
val = make_set_cookie("tok_abc")
assert "Max-Age=2592000" in val # 30 days
assert "Max-Age=86400" in val # 24 hours (matches JWT expiry)
def test_max_age_custom(self):
val = make_set_cookie("tok_abc", max_age=3600)
assert "Max-Age=3600" in val
def test_secure_default(self):
val = make_set_cookie("tok_abc")
assert "; Secure" in val
def test_secure_false(self):
val = make_set_cookie("tok_abc", secure=False)
assert "; Secure" not in val
def test_secure_true(self):
val = make_set_cookie("tok_abc", secure=True)
assert "; Secure" in val
class TestMakeClearCookie:
def test_max_age_zero(self):
@@ -306,68 +336,78 @@ class TestCheckRequest:
)
def test_disabled_allows_all(self, disabled):
allowed, status, msg = check_request(disabled, "POST", "/api/send", None)
allowed, status, msg, _result = check_request(disabled, "POST", "/api/send", None)
assert allowed is True
assert status == 200
def test_disabled_allows_no_header(self, disabled):
allowed, status, msg = check_request(disabled, "GET", "/api/workstreams", None)
allowed, status, msg, _result = check_request(disabled, "GET", "/api/workstreams", None)
assert allowed is True
def test_public_path_no_token_ok(self, enabled):
allowed, status, msg = check_request(enabled, "GET", "/health", None)
allowed, status, msg, _result = check_request(enabled, "GET", "/health", None)
assert allowed is True
assert status == 200
def test_public_root_no_token_ok(self, enabled):
allowed, status, msg = check_request(enabled, "GET", "/", None)
allowed, status, msg, _result = check_request(enabled, "GET", "/", None)
assert allowed is True
def test_public_static_no_token_ok(self, enabled):
allowed, status, msg = check_request(enabled, "GET", "/static/style.css", None)
allowed, status, msg, _result = check_request(enabled, "GET", "/static/style.css", None)
assert allowed is True
def test_api_no_token_401(self, enabled):
allowed, status, msg = check_request(enabled, "GET", "/api/workstreams", None)
allowed, status, msg, _result = check_request(enabled, "GET", "/api/workstreams", None)
assert allowed is False
assert status == 401
assert "Unauthorized" in msg
def test_api_invalid_token_401(self, enabled):
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled, "GET", "/api/workstreams", "Bearer wrong_token"
)
assert allowed is False
assert status == 401
def test_api_read_token_ok(self, enabled):
allowed, status, msg = check_request(enabled, "GET", "/api/workstreams", "Bearer tok_read")
allowed, status, msg, _result = check_request(
enabled, "GET", "/api/workstreams", "Bearer tok_read"
)
assert allowed is True
assert status == 200
def test_api_full_token_ok(self, enabled):
allowed, status, msg = check_request(enabled, "GET", "/api/workstreams", "Bearer tok_full")
allowed, status, msg, _result = check_request(
enabled, "GET", "/api/workstreams", "Bearer tok_full"
)
assert allowed is True
def test_write_read_token_403(self, enabled):
allowed, status, msg = check_request(enabled, "POST", "/api/send", "Bearer tok_read")
allowed, status, msg, _result = check_request(
enabled, "POST", "/api/send", "Bearer tok_read"
)
assert allowed is False
assert status == 403
assert "Forbidden" in msg
def test_write_full_token_ok(self, enabled):
allowed, status, msg = check_request(enabled, "POST", "/api/send", "Bearer tok_full")
allowed, status, msg, _result = check_request(
enabled, "POST", "/api/send", "Bearer tok_full"
)
assert allowed is True
assert status == 200
def test_approve_read_token_403(self, enabled):
allowed, status, msg = check_request(enabled, "POST", "/api/approve", "Bearer tok_read")
allowed, status, msg, _result = check_request(
enabled, "POST", "/api/approve", "Bearer tok_read"
)
assert allowed is False
assert status == 403
def test_proxy_write_read_token_403(self, enabled):
"""Read tokens cannot escalate to write ops via proxy routes."""
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled, "POST", "/node/node-a/api/send", "Bearer tok_read"
)
assert allowed is False
@@ -375,7 +415,7 @@ class TestCheckRequest:
def test_proxy_write_trailing_slash_read_token_403(self, enabled):
"""Trailing slash must not bypass write-role check on proxy routes."""
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled, "POST", "/node/node-a/api/send/", "Bearer tok_read"
)
assert allowed is False
@@ -383,20 +423,22 @@ class TestCheckRequest:
def test_direct_write_trailing_slash_read_token_403(self, enabled):
"""Trailing slash must not bypass write-role check on direct routes."""
allowed, status, msg = check_request(enabled, "POST", "/api/send/", "Bearer tok_read")
allowed, status, msg, _result = check_request(
enabled, "POST", "/api/send/", "Bearer tok_read"
)
assert allowed is False
assert status == 403
def test_proxy_write_full_token_ok(self, enabled):
"""Full tokens pass through proxy write routes."""
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled, "POST", "/node/node-a/api/send", "Bearer tok_full"
)
assert allowed is True
def test_proxy_v1_write_read_token_403(self, enabled):
"""Read tokens cannot escalate to write ops via v1 proxy routes."""
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled, "POST", "/node/node-a/v1/api/send", "Bearer tok_read"
)
assert allowed is False
@@ -404,14 +446,14 @@ class TestCheckRequest:
def test_proxy_v1_write_full_token_ok(self, enabled):
"""Full tokens pass through v1 proxy write routes."""
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled, "POST", "/node/node-a/v1/api/send", "Bearer tok_full"
)
assert allowed is True
def test_proxy_v1_cluster_ws_new_read_403(self, enabled):
"""Read tokens cannot create workstreams via v1 proxy."""
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled,
"POST",
"/node/node-a/v1/api/cluster/workstreams/new",
@@ -422,25 +464,27 @@ class TestCheckRequest:
def test_proxy_read_endpoint_read_token_ok(self, enabled):
"""Read tokens can access proxy read endpoints."""
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled, "GET", "/node/node-a/api/workstreams", "Bearer tok_read"
)
assert allowed is True
def test_console_create_ws_read_token_403(self, enabled):
"""Read tokens cannot create workstreams."""
allowed, status, msg = check_request(
allowed, status, msg, _result = check_request(
enabled, "POST", "/api/cluster/workstreams/new", "Bearer tok_read"
)
assert allowed is False
assert status == 403
def test_approve_full_token_ok(self, enabled):
allowed, status, msg = check_request(enabled, "POST", "/api/approve", "Bearer tok_full")
allowed, status, msg, _result = check_request(
enabled, "POST", "/api/approve", "Bearer tok_full"
)
assert allowed is True
def test_no_auth_header_string(self, enabled):
allowed, status, msg = check_request(enabled, "GET", "/api/dashboard", "")
allowed, status, msg, _result = check_request(enabled, "GET", "/api/dashboard", "")
assert allowed is False
assert status == 401
@@ -461,7 +505,7 @@ class TestCheckRequestWithCookie:
)
def test_cookie_fallback_when_no_bearer(self, enabled):
allowed, status, _ = check_request(
allowed, status, _, _r = check_request(
enabled,
"GET",
"/api/workstreams",
@@ -473,7 +517,7 @@ class TestCheckRequestWithCookie:
def test_bearer_takes_precedence_over_cookie(self, enabled):
# Bearer is full, cookie is read — Bearer should win
allowed, status, _ = check_request(
allowed, status, _, _r = check_request(
enabled,
"POST",
"/api/send",
@@ -483,7 +527,7 @@ class TestCheckRequestWithCookie:
assert allowed is True
def test_invalid_cookie_401(self, enabled):
allowed, status, _ = check_request(
allowed, status, _, _r = check_request(
enabled,
"GET",
"/api/workstreams",
@@ -494,7 +538,7 @@ class TestCheckRequestWithCookie:
assert status == 401
def test_cookie_read_on_write_403(self, enabled):
allowed, status, _ = check_request(
allowed, status, _, _r = check_request(
enabled,
"POST",
"/api/send",
@@ -505,7 +549,7 @@ class TestCheckRequestWithCookie:
assert status == 403
def test_cookie_full_on_write_ok(self, enabled):
allowed, status, _ = check_request(
allowed, status, _, _r = check_request(
enabled,
"POST",
"/api/send",
@@ -515,7 +559,7 @@ class TestCheckRequestWithCookie:
assert allowed is True
def test_no_cookie_no_bearer_401(self, enabled):
allowed, status, _ = check_request(
allowed, status, _, _r = check_request(
enabled,
"GET",
"/api/workstreams",
@@ -526,7 +570,7 @@ class TestCheckRequestWithCookie:
assert status == 401
def test_login_path_public(self, enabled):
allowed, status, _ = check_request(
allowed, status, _, _r = check_request(
enabled,
"POST",
"/api/auth/login",
@@ -535,7 +579,7 @@ class TestCheckRequestWithCookie:
assert allowed is True
def test_logout_path_public(self, enabled):
allowed, status, _ = check_request(
allowed, status, _, _r = check_request(
enabled,
"POST",
"/api/auth/logout",
@@ -552,12 +596,28 @@ class TestCheckRequestWithCookie:
class TestLoadAuthConfig:
"""Tests for load_auth_config with mocked config + env vars."""
def test_default_disabled(self):
def test_default_enabled(self):
with patch("turnstone.core.config.load_config", return_value={}):
cfg = load_auth_config()
assert cfg.enabled is False
assert cfg.enabled is True
assert cfg.tokens == {}
def test_explicit_disable(self):
with (
patch("turnstone.core.config.load_config", return_value={"enabled": False}),
patch.dict(os.environ, {}, clear=True),
):
cfg = load_auth_config()
assert cfg.enabled is False
def test_env_disable(self):
with (
patch("turnstone.core.config.load_config", return_value={}),
patch.dict(os.environ, {"TURNSTONE_AUTH_ENABLED": "0"}, clear=True),
):
cfg = load_auth_config()
assert cfg.enabled is False
def test_config_file_tokens(self):
mock_cfg = {
"enabled": True,
@@ -685,7 +745,7 @@ class TestServerAuth:
srv_mod._metrics.model = "test-model"
mock_session = MagicMock()
mock_session.session_id = "test-session-id"
mock_session.ws_id = "test-session-id"
mock_ws = MagicMock()
mock_ws.id = "test-ws"
@@ -705,6 +765,7 @@ class TestServerAuth:
enabled=True,
tokens={"tok_full": "full", "tok_read": "read"},
),
cors_origins=["*"],
)
cls.client = TestClient(app, raise_server_exceptions=False)
@@ -902,7 +963,7 @@ class TestServerLogin:
srv_mod._metrics.model = "test-model"
mock_session = MagicMock()
mock_session.session_id = "test-session-id"
mock_session.ws_id = "test-session-id"
mock_ws = MagicMock()
mock_ws.id = "test-ws"
@@ -1040,3 +1101,277 @@ class TestConsoleLogin:
self.test_client.post("/v1/api/auth/logout")
resp = self.test_client.get("/v1/api/cluster/overview")
assert resp.status_code == 401
# ---------------------------------------------------------------------------
# Security hardening tests
# ---------------------------------------------------------------------------
class TestLoginRateLimiter:
def test_allows_under_limit(self):
from turnstone.core.auth import LoginRateLimiter
limiter = LoginRateLimiter(max_attempts=3, window_seconds=60)
for _ in range(3):
ok, _ = limiter.check("ip:1.2.3.4")
assert ok
limiter.record("ip:1.2.3.4")
# 4th should be blocked (3 recorded)
ok, retry = limiter.check("ip:1.2.3.4")
assert not ok
assert retry > 0
def test_different_keys_independent(self):
from turnstone.core.auth import LoginRateLimiter
limiter = LoginRateLimiter(max_attempts=2, window_seconds=60)
limiter.record("ip:a")
limiter.record("ip:a")
ok_a, _ = limiter.check("ip:a")
ok_b, _ = limiter.check("ip:b")
assert not ok_a
assert ok_b
def test_cleanup(self):
from turnstone.core.auth import LoginRateLimiter
limiter = LoginRateLimiter(max_attempts=1, window_seconds=60)
limiter.record("ip:old")
removed = limiter.cleanup(max_age=0.0)
assert removed == 1
ok, _ = limiter.check("ip:old")
assert ok
def test_max_keys_protection(self):
from turnstone.core.auth import LoginRateLimiter
limiter = LoginRateLimiter(max_attempts=5, window_seconds=60)
limiter.MAX_KEYS = 2
limiter.record("a")
limiter.record("b")
limiter.record("c") # should be silently dropped (at capacity)
assert "c" not in limiter._attempts
class TestJWTAudienceIssuer:
SECRET = "test-secret-that-is-at-least-32-chars"
def test_create_jwt_includes_iss(self):
import jwt as pyjwt
from turnstone.core.auth import JWT_ISSUER, create_jwt
token = create_jwt("user1", frozenset({"read"}), "test", self.SECRET)
payload = pyjwt.decode(
token, self.SECRET, algorithms=["HS256"], options={"verify_aud": False}
)
assert payload["iss"] == JWT_ISSUER
def test_create_jwt_with_audience(self):
import jwt as pyjwt
from turnstone.core.auth import JWT_AUD_SERVER, create_jwt
token = create_jwt(
"user1", frozenset({"read"}), "test", self.SECRET, audience=JWT_AUD_SERVER
)
payload = pyjwt.decode(token, self.SECRET, algorithms=["HS256"], audience=JWT_AUD_SERVER)
assert payload["aud"] == JWT_AUD_SERVER
def test_validate_jwt_wrong_audience_rejected(self):
from turnstone.core.auth import JWT_AUD_CONSOLE, JWT_AUD_SERVER, create_jwt, validate_jwt
token = create_jwt(
"user1", frozenset({"read"}), "test", self.SECRET, audience=JWT_AUD_SERVER
)
result = validate_jwt(token, self.SECRET, audience=JWT_AUD_CONSOLE)
assert result is None
def test_validate_jwt_correct_audience_accepted(self):
from turnstone.core.auth import JWT_AUD_SERVER, create_jwt, validate_jwt
token = create_jwt(
"user1", frozenset({"read"}), "test", self.SECRET, audience=JWT_AUD_SERVER
)
result = validate_jwt(token, self.SECRET, audience=JWT_AUD_SERVER)
assert result is not None
assert result.user_id == "user1"
def test_validate_jwt_no_audience_backward_compat(self):
from turnstone.core.auth import create_jwt, validate_jwt
# Token without aud claim should be accepted when audience="" (backward compat)
token = create_jwt("user1", frozenset({"read"}), "test", self.SECRET)
result = validate_jwt(token, self.SECRET, audience="")
assert result is not None
class TestServiceTokenManager:
SECRET = "test-secret-that-is-at-least-32-chars"
def test_auto_mints_on_first_access(self):
from turnstone.core.auth import ServiceTokenManager
mgr = ServiceTokenManager(
user_id="svc",
scopes=frozenset({"read"}),
source="test",
secret=self.SECRET,
)
token = mgr.token
assert token # non-empty
assert isinstance(token, str)
def test_bearer_header_format(self):
from turnstone.core.auth import ServiceTokenManager
mgr = ServiceTokenManager(
user_id="svc",
scopes=frozenset({"read"}),
source="test",
secret=self.SECRET,
)
header = mgr.bearer_header
assert "Authorization" in header
assert header["Authorization"].startswith("Bearer ")
def test_token_stable_within_window(self):
from turnstone.core.auth import ServiceTokenManager
mgr = ServiceTokenManager(
user_id="svc",
scopes=frozenset({"read"}),
source="test",
secret=self.SECRET,
expiry_hours=1,
)
t1 = mgr.token
t2 = mgr.token
assert t1 == t2
def test_token_rotates_near_expiry(self):
from turnstone.core.auth import ServiceTokenManager
mgr = ServiceTokenManager(
user_id="svc",
scopes=frozenset({"read"}),
source="test",
secret=self.SECRET,
expiry_hours=1,
)
_ = mgr.token # initial mint
# Simulate expiry by backdating _expires_at
mgr._expires_at = 0.0
t2 = mgr.token
# Token was re-minted (even if payload matches within same second,
# the internal state was refreshed)
assert t2 # non-empty, valid token
assert mgr._expires_at > 0.0 # was refreshed
def test_audience_included(self):
import jwt as pyjwt
from turnstone.core.auth import JWT_AUD_SERVER, ServiceTokenManager
mgr = ServiceTokenManager(
user_id="svc",
scopes=frozenset({"read"}),
source="test",
secret=self.SECRET,
audience=JWT_AUD_SERVER,
)
payload = pyjwt.decode(
mgr.token, self.SECRET, algorithms=["HS256"], audience=JWT_AUD_SERVER
)
assert payload["aud"] == JWT_AUD_SERVER
class TestIsSecureRequest:
def test_https_scheme(self):
from turnstone.core.auth import is_secure_request
assert is_secure_request({}, scheme="https") is True
def test_http_scheme(self):
from turnstone.core.auth import is_secure_request
assert is_secure_request({}, scheme="http") is False
def test_x_forwarded_proto_https(self):
from turnstone.core.auth import is_secure_request
assert is_secure_request({"x-forwarded-proto": "https"}, scheme="http") is True
def test_x_forwarded_proto_http(self):
from turnstone.core.auth import is_secure_request
assert is_secure_request({"x-forwarded-proto": "http"}, scheme="http") is False
class TestSecretStrength:
def test_short_secret_warns(self, caplog):
import logging
from turnstone.core.auth import _MIN_SECRET_LENGTH
with caplog.at_level(logging.WARNING, logger="turnstone.core.auth"):
import turnstone.core.auth as auth_mod
old = os.environ.get("TURNSTONE_JWT_SECRET", "")
os.environ["TURNSTONE_JWT_SECRET"] = "short"
try:
secret = auth_mod.load_jwt_secret()
assert secret == "short"
assert any(str(_MIN_SECRET_LENGTH) in r.message for r in caplog.records)
finally:
if old:
os.environ["TURNSTONE_JWT_SECRET"] = old
else:
os.environ.pop("TURNSTONE_JWT_SECRET", None)
class TestCorsConfigurable:
"""Verify CORS middleware is only added when origins are configured."""
def test_no_cors_origins_no_cors_headers(self):
"""Without cors_origins, no Access-Control headers."""
from starlette.testclient import TestClient
import turnstone.server as srv_mod
app = srv_mod.create_app(
workstreams=MagicMock(),
global_queue=queue.Queue(),
global_listeners=[],
global_listeners_lock=threading.Lock(),
skip_permissions=False,
auth_config=AuthConfig(enabled=False),
)
client = TestClient(app)
resp = client.get("/health", headers={"Origin": "http://evil.com"})
assert "Access-Control-Allow-Origin" not in resp.headers
client.close()
def test_cors_origins_set(self):
"""With cors_origins, CORS headers are present."""
from starlette.testclient import TestClient
import turnstone.server as srv_mod
app = srv_mod.create_app(
workstreams=MagicMock(),
global_queue=queue.Queue(),
global_listeners=[],
global_listeners_lock=threading.Lock(),
skip_permissions=False,
auth_config=AuthConfig(enabled=False),
cors_origins=["http://example.com"],
)
client = TestClient(app)
resp = client.get(
"/health",
headers={"Origin": "http://example.com"},
)
assert resp.headers.get("Access-Control-Allow-Origin") == "http://example.com"
client.close()
+357
View File
@@ -0,0 +1,357 @@
"""Tests for user identity, API tokens, JWT, and scoped auth."""
from __future__ import annotations
import time
import pytest
from turnstone.core.auth import (
AuthConfig,
AuthResult,
_authenticate_token,
check_request,
create_jwt,
generate_token,
hash_password,
hash_token,
parse_scopes,
required_scope,
token_prefix,
validate_jwt,
verify_password,
)
# ---------------------------------------------------------------------------
# AuthResult
# ---------------------------------------------------------------------------
class TestAuthResult:
def test_frozen(self):
r = AuthResult(user_id="u1", scopes=frozenset({"read"}), token_source="config")
with pytest.raises(AttributeError):
r.user_id = "u2" # type: ignore[misc]
def test_has_scope(self):
r = AuthResult(user_id="", scopes=frozenset({"read", "write"}), token_source="config")
assert r.has_scope("read")
assert r.has_scope("write")
assert not r.has_scope("approve")
def test_empty_scopes(self):
r = AuthResult(user_id="", scopes=frozenset(), token_source="config")
assert not r.has_scope("read")
# ---------------------------------------------------------------------------
# Token generation and hashing
# ---------------------------------------------------------------------------
class TestTokenHelpers:
def test_generate_token_format(self):
tok = generate_token()
assert tok.startswith("ts_")
assert len(tok) == 3 + 64 # ts_ + 64 hex chars
def test_generate_token_unique(self):
tokens = {generate_token() for _ in range(10)}
assert len(tokens) == 10
def test_hash_token_deterministic(self):
assert hash_token("ts_abc") == hash_token("ts_abc")
def test_hash_token_hex(self):
h = hash_token("test")
assert len(h) == 64 # SHA-256 hex
int(h, 16) # valid hex
def test_token_prefix(self):
assert token_prefix("ts_abcdefgh1234") == "ts_abcde"
# ---------------------------------------------------------------------------
# Password hashing (bcrypt)
# ---------------------------------------------------------------------------
class TestPasswordHashing:
def test_hash_and_verify(self):
pw = "hunter2"
hashed = hash_password(pw)
assert verify_password(pw, hashed)
def test_wrong_password(self):
hashed = hash_password("correct")
assert not verify_password("wrong", hashed)
def test_hash_is_different_each_time(self):
h1 = hash_password("same")
h2 = hash_password("same")
assert h1 != h2 # different salts
# ---------------------------------------------------------------------------
# Scope parsing
# ---------------------------------------------------------------------------
class TestParseScopes:
def test_single_scope(self):
assert parse_scopes("read") == frozenset({"read"})
def test_hierarchy_write(self):
assert parse_scopes("write") == frozenset({"read", "write"})
def test_hierarchy_approve(self):
assert parse_scopes("approve") == frozenset({"read", "write", "approve"})
def test_comma_separated(self):
assert parse_scopes("read,write") == frozenset({"read", "write"})
def test_redundant_scopes(self):
# approve already includes read,write
assert parse_scopes("read,approve") == frozenset({"read", "write", "approve"})
def test_empty_string(self):
assert parse_scopes("") == frozenset()
def test_invalid_scope_filtered(self):
assert parse_scopes("bogus") == frozenset()
def test_mixed_valid_invalid(self):
assert parse_scopes("read,bogus,approve") == frozenset({"read", "write", "approve"})
# ---------------------------------------------------------------------------
# JWT create / validate
# ---------------------------------------------------------------------------
class TestJWT:
SECRET = "test-secret-key-for-jwt"
def test_round_trip(self):
scopes = frozenset({"read", "write"})
token = create_jwt("user123", scopes, "database", self.SECRET, expiry_hours=1)
result = validate_jwt(token, self.SECRET)
assert result is not None
assert result.user_id == "user123"
assert result.scopes == frozenset({"read", "write"})
def test_expired_token(self):
import jwt
payload = {
"sub": "user1",
"scopes": "read",
"src": "database",
"iat": int(time.time()) - 7200,
"exp": int(time.time()) - 3600,
}
token = jwt.encode(payload, self.SECRET, algorithm="HS256")
assert validate_jwt(token, self.SECRET) is None
def test_invalid_signature(self):
token = create_jwt("user1", frozenset({"read"}), "db", self.SECRET)
assert validate_jwt(token, "wrong-secret") is None
def test_malformed_token(self):
assert validate_jwt("not.a.jwt", self.SECRET) is None
def test_contains_dots(self):
"""JWTs contain dots, used for detection."""
token = create_jwt("u1", frozenset({"read"}), "db", self.SECRET)
assert "." in token
# ---------------------------------------------------------------------------
# required_scope
# ---------------------------------------------------------------------------
class TestRequiredScope:
def test_get_read(self):
assert required_scope("GET", "/api/workstreams") == "read"
def test_post_write(self):
assert required_scope("POST", "/api/send") == "write"
def test_post_approve(self):
assert required_scope("POST", "/api/approve") == "approve"
def test_admin_prefix(self):
assert required_scope("GET", "/api/admin/users") == "approve"
assert required_scope("POST", "/api/admin/users") == "approve"
assert required_scope("DELETE", "/api/admin/users/abc") == "approve"
def test_versioned_path(self):
assert required_scope("POST", "/v1/api/send") == "write"
assert required_scope("POST", "/v1/api/approve") == "approve"
def test_proxy_write(self):
assert required_scope("POST", "/node/n1/api/send") == "write"
def test_proxy_approve(self):
assert required_scope("POST", "/node/n1/api/approve") == "approve"
# ---------------------------------------------------------------------------
# _authenticate_token
# ---------------------------------------------------------------------------
class TestAuthenticateToken:
def test_config_token_read(self):
cfg = AuthConfig(enabled=True, tokens={"tok_read": "read"})
result = _authenticate_token("tok_read", cfg)
assert result is not None
assert result.scopes == frozenset({"read"})
assert result.token_source == "config"
def test_config_token_full(self):
cfg = AuthConfig(enabled=True, tokens={"tok_full": "full"})
result = _authenticate_token("tok_full", cfg)
assert result is not None
assert result.scopes == frozenset({"read", "write", "approve"})
def test_jwt_token(self):
secret = "test-secret"
jwt_tok = create_jwt("user1", frozenset({"read", "write"}), "db", secret)
cfg = AuthConfig(enabled=True)
result = _authenticate_token(jwt_tok, cfg, jwt_secret=secret)
assert result is not None
assert result.user_id == "user1"
assert result.token_source == "db"
def test_api_token_with_storage(self):
"""API tokens are looked up by hash in storage."""
raw = generate_token()
class MockStorage:
def get_api_token_by_hash(self, token_hash):
expected = hash_token(raw)
if token_hash == expected:
return {
"token_id": "tid",
"token_prefix": "ts_abcde",
"user_id": "user1",
"name": "test",
"scopes": "read,write",
"created": "2026-01-01T00:00:00",
}
return None
cfg = AuthConfig(enabled=True)
result = _authenticate_token(raw, cfg, storage=MockStorage())
assert result is not None
assert result.user_id == "user1"
assert result.has_scope("write")
assert result.token_source == "database"
def test_api_token_expired(self):
"""Expired API tokens are rejected."""
raw = generate_token()
class MockStorage:
def get_api_token_by_hash(self, token_hash):
return {
"token_id": "tid",
"token_prefix": "ts_abcde",
"user_id": "user1",
"name": "test",
"scopes": "read",
"created": "2020-01-01T00:00:00",
"expires": "2020-01-02T00:00:00",
}
cfg = AuthConfig(enabled=True)
result = _authenticate_token(raw, cfg, storage=MockStorage())
assert result is None
def test_unknown_token(self):
cfg = AuthConfig(enabled=True, tokens={"tok": "full"})
result = _authenticate_token("unknown", cfg)
assert result is None
# ---------------------------------------------------------------------------
# check_request with scopes
# ---------------------------------------------------------------------------
class TestCheckRequestScopes:
def test_config_read_on_write_403(self):
cfg = AuthConfig(enabled=True, tokens={"tok_read": "read"})
allowed, status, msg, _ = check_request(cfg, "POST", "/api/send", "Bearer tok_read")
assert not allowed
assert status == 403
assert "write" in msg
def test_config_read_on_approve_403(self):
cfg = AuthConfig(enabled=True, tokens={"tok_read": "read"})
allowed, status, msg, _ = check_request(cfg, "POST", "/api/approve", "Bearer tok_read")
assert not allowed
assert status == 403
assert "approve" in msg
def test_config_full_on_approve_ok(self):
cfg = AuthConfig(enabled=True, tokens={"tok_full": "full"})
allowed, status, msg, result = check_request(cfg, "POST", "/api/approve", "Bearer tok_full")
assert allowed
assert result is not None
assert result.has_scope("approve")
def test_jwt_with_scopes(self):
secret = "test"
jwt_tok = create_jwt("u1", frozenset({"read", "write"}), "db", secret)
cfg = AuthConfig(enabled=True)
allowed, status, msg, result = check_request(
cfg,
"POST",
"/api/send",
f"Bearer {jwt_tok}",
jwt_secret=secret,
)
assert allowed
assert result is not None
assert result.user_id == "u1"
def test_jwt_insufficient_scope(self):
secret = "test"
jwt_tok = create_jwt("u1", frozenset({"read"}), "db", secret)
cfg = AuthConfig(enabled=True)
allowed, status, msg, _ = check_request(
cfg,
"POST",
"/api/send",
f"Bearer {jwt_tok}",
jwt_secret=secret,
)
assert not allowed
assert status == 403
def test_admin_path_requires_approve(self):
cfg = AuthConfig(enabled=True, tokens={"tok_read": "read"})
allowed, status, msg, _ = check_request(
cfg,
"GET",
"/v1/api/admin/users",
"Bearer tok_read",
)
assert not allowed
assert status == 403
def test_backward_compat_role_full(self):
"""Config tokens with role='full' get all scopes."""
cfg = AuthConfig(enabled=True, tokens={"tok_full": "full"})
allowed, _, _, result = check_request(
cfg,
"GET",
"/v1/api/admin/users",
"Bearer tok_full",
)
assert allowed
assert result is not None
assert result.has_scope("approve")
+71
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"""Tests for turnstone.core.bm25 — tokenizer and BM25 index."""
from turnstone.core.bm25 import BM25Index, _tokenize
class TestTokenize:
def test_simple_words(self):
assert _tokenize("hello world") == ["hello", "world"]
def test_underscores(self):
assert _tokenize("read_file") == ["read", "file"]
def test_hyphens(self):
assert _tokenize("web-search") == ["web", "search"]
def test_dots(self):
assert _tokenize("foo.bar.baz") == ["foo", "bar", "baz"]
def test_mixed_separators(self):
assert _tokenize("mcp__server__read_file") == ["mcp", "server", "read", "file"]
def test_empty_string(self):
assert _tokenize("") == []
def test_case_folding(self):
assert _tokenize("Hello World") == ["hello", "world"]
class TestBM25Index:
def test_search_returns_relevant(self):
docs = ["read a file from disk", "search for file in directory", "execute a bash command"]
index = BM25Index(docs)
results = index.search("file", k=2)
assert 0 in results
assert 1 in results
def test_search_empty_query(self):
docs = ["hello world"]
index = BM25Index(docs)
assert index.search("") == []
def test_search_no_match(self):
docs = ["hello world", "foo bar"]
index = BM25Index(docs)
assert index.search("zzzznotfound") == []
def test_search_respects_k(self):
docs = [f"document {i} with common word" for i in range(20)]
index = BM25Index(docs)
results = index.search("common", k=3)
assert len(results) <= 3
def test_empty_corpus(self):
index = BM25Index([])
assert index.search("anything") == []
def test_single_document(self):
index = BM25Index(["the only document about turnstone"])
results = index.search("turnstone")
assert results == [0]
def test_ordering_by_relevance(self):
docs = [
"unrelated content about cooking recipes",
"python programming with file operations",
"read file write file file operations disk io",
]
index = BM25Index(docs)
results = index.search("file operations", k=3)
# Doc 2 has more file/operations mentions, should rank higher
assert results[0] == 2
+630
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"""Tests for the bootstrap wizard module."""
from __future__ import annotations
import os
import socket
from pathlib import Path
from unittest.mock import MagicMock, patch
from turnstone.bootstrap import (
SYSTEM_PROMPT,
TOOLS,
_BootstrapLLM,
_FinishError,
_mask_secrets,
_tool_check_docker,
_tool_check_port,
_tool_finish,
_tool_generate_secret,
_tool_read_file,
_tool_validate_api_key,
_tool_write_file,
execute_tool,
)
# ---------------------------------------------------------------------------
# Tool function tests
# ---------------------------------------------------------------------------
class TestReadFile:
def test_existing_file(self, tmp_path: Path) -> None:
f = tmp_path / "test.txt"
f.write_text("hello world")
result = _tool_read_file(tmp_path, {"path": "test.txt"})
assert result == "hello world"
def test_missing_file(self, tmp_path: Path) -> None:
result = _tool_read_file(tmp_path, {"path": "nope.txt"})
assert "Error: file not found" in result
def test_nested_path(self, tmp_path: Path) -> None:
sub = tmp_path / "sub"
sub.mkdir()
f = sub / "nested.txt"
f.write_text("nested content")
result = _tool_read_file(tmp_path, {"path": "sub/nested.txt"})
assert result == "nested content"
def test_path_traversal_blocked(self, tmp_path: Path) -> None:
result = _tool_read_file(tmp_path, {"path": "../../etc/passwd"})
assert "escapes project directory" in result
def test_absolute_path_blocked(self, tmp_path: Path) -> None:
result = _tool_read_file(tmp_path, {"path": "/etc/passwd"})
assert "escapes project directory" in result
class TestWriteFile:
def test_write_confirmed(self, tmp_path: Path) -> None:
with patch("builtins.input", return_value="y"):
result = _tool_write_file(tmp_path, {"path": "out.txt", "content": "data\n"})
assert "written successfully" in result
assert (tmp_path / "out.txt").read_text() == "data\n"
def test_write_declined(self, tmp_path: Path) -> None:
with patch("builtins.input", return_value="n"):
result = _tool_write_file(tmp_path, {"path": "out.txt", "content": "data\n"})
assert "declined" in result
assert not (tmp_path / "out.txt").exists()
def test_write_creates_parent_dirs(self, tmp_path: Path) -> None:
with patch("builtins.input", return_value="y"):
result = _tool_write_file(tmp_path, {"path": "a/b/c.txt", "content": "deep\n"})
assert "written successfully" in result
assert (tmp_path / "a" / "b" / "c.txt").read_text() == "deep\n"
def test_sh_files_are_executable(self, tmp_path: Path) -> None:
with patch("builtins.input", return_value="y"):
_tool_write_file(tmp_path, {"path": "setup.sh", "content": "#!/bin/bash\n"})
mode = (tmp_path / "setup.sh").stat().st_mode
assert mode & 0o110 # user + group executable, not world
def test_path_traversal_blocked(self, tmp_path: Path) -> None:
result = _tool_write_file(tmp_path, {"path": "../../escape.txt", "content": "bad\n"})
assert "escapes project directory" in result
def test_default_enter_confirms(self, tmp_path: Path) -> None:
with patch("builtins.input", return_value=""):
result = _tool_write_file(tmp_path, {"path": "ok.txt", "content": "ok\n"})
assert "written successfully" in result
def test_duplicate_write_skipped(self, tmp_path: Path) -> None:
(tmp_path / "dup.txt").write_text("same\n")
result = _tool_write_file(tmp_path, {"path": "dup.txt", "content": "same\n"})
assert "already exists" in result
def test_different_content_still_prompts(self, tmp_path: Path) -> None:
(tmp_path / "changed.txt").write_text("old\n")
with patch("builtins.input", return_value="y"):
result = _tool_write_file(tmp_path, {"path": "changed.txt", "content": "new\n"})
assert "written successfully" in result
assert (tmp_path / "changed.txt").read_text() == "new\n"
class TestGenerateSecret:
def test_default_length(self) -> None:
secret = _tool_generate_secret({})
assert len(secret) == 64 # 32 bytes -> 64 hex chars
def test_custom_length(self) -> None:
secret = _tool_generate_secret({"length": 16})
assert len(secret) == 32
def test_uniqueness(self) -> None:
s1 = _tool_generate_secret({})
s2 = _tool_generate_secret({})
assert s1 != s2
def test_invalid_length_fallback(self) -> None:
secret = _tool_generate_secret({"length": -1})
assert len(secret) == 64 # falls back to 32 bytes
def test_excessive_length_capped(self) -> None:
secret = _tool_generate_secret({"length": 99999})
assert len(secret) == 64 # falls back to 32 bytes
class TestCheckPort:
def test_available_port(self) -> None:
# Pick a random high port that's likely free
result = _tool_check_port({"port": 59123})
assert "AVAILABLE" in result or "IN USE" in result
def test_in_use_port(self) -> None:
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
sock.bind(("127.0.0.1", 0))
port = sock.getsockname()[1]
sock.listen(1)
result = _tool_check_port({"port": port})
assert "IN USE" in result
def test_invalid_port(self) -> None:
result = _tool_check_port({"port": -1})
assert "Error" in result
def test_port_zero(self) -> None:
result = _tool_check_port({"port": 0})
assert "Error" in result
class TestCheckDocker:
def test_docker_installed(self) -> None:
mock_docker = MagicMock()
mock_docker.returncode = 0
mock_docker.stdout = "24.0.7"
mock_compose = MagicMock()
mock_compose.returncode = 0
mock_compose.stdout = "2.24.5"
with patch("subprocess.run", side_effect=[mock_docker, mock_compose]):
result = _tool_check_docker({})
assert "Docker: installed" in result
assert "Docker Compose: installed" in result
def test_docker_not_installed(self) -> None:
with patch("subprocess.run", side_effect=FileNotFoundError):
result = _tool_check_docker({})
assert "NOT installed" in result or "NOT available" in result
def test_docker_daemon_not_running(self) -> None:
mock_docker = MagicMock()
mock_docker.returncode = 1
mock_docker.stderr = "Cannot connect to the Docker daemon"
mock_compose = MagicMock()
mock_compose.returncode = 1
with patch("subprocess.run", side_effect=[mock_docker, mock_compose]):
result = _tool_check_docker({})
assert "NOT running" in result
class TestValidateApiKey:
def test_openai_success(self) -> None:
mock_client = MagicMock()
mock_client.models.list.return_value = []
with patch("openai.OpenAI", return_value=mock_client):
result = _tool_validate_api_key({"provider": "openai", "api_key": "sk-test"})
assert "Success" in result
def test_openai_failure(self) -> None:
with patch("openai.OpenAI") as mock_cls:
mock_cls.return_value.models.list.side_effect = Exception("Invalid key")
result = _tool_validate_api_key({"provider": "openai", "api_key": "bad"})
assert "Failed" in result
def test_unknown_provider(self) -> None:
result = _tool_validate_api_key({"provider": "unknown", "api_key": "x"})
assert "unknown" in result
class TestExecuteTool:
def test_unknown_tool(self, tmp_path: Path) -> None:
result = execute_tool("nonexistent", {}, tmp_path)
assert "unknown tool" in result
def test_dispatches_correctly(self, tmp_path: Path) -> None:
f = tmp_path / "hello.txt"
f.write_text("hi")
result = execute_tool("read_file", {"path": "hello.txt"}, tmp_path)
assert result == "hi"
def test_finish_raises(self, tmp_path: Path) -> None:
import pytest
with pytest.raises(_FinishError, match="All done"):
execute_tool("finish", {"summary": "All done"}, tmp_path)
class TestFinishTool:
def test_raises_with_summary(self) -> None:
import pytest
with pytest.raises(_FinishError) as exc_info:
_tool_finish({"summary": "Configured production deployment."})
assert exc_info.value.summary == "Configured production deployment."
def test_default_summary(self) -> None:
import pytest
with pytest.raises(_FinishError) as exc_info:
_tool_finish({})
assert exc_info.value.summary == "Setup complete."
# ---------------------------------------------------------------------------
# Secret masking tests
# ---------------------------------------------------------------------------
class TestMaskSecrets:
def test_masks_api_key(self) -> None:
text = "OPENAI_API_KEY=sk-1234567890abcdef"
result = _mask_secrets(text)
assert "sk-1" in result
assert "cdef" in result
assert "1234567890abcde" not in result
def test_preserves_comments(self) -> None:
text = "# OPENAI_API_KEY=sk-1234567890abcdef"
result = _mask_secrets(text)
assert result == text
def test_preserves_short_values(self) -> None:
text = "TOKEN=short"
result = _mask_secrets(text)
assert result == text
def test_preserves_non_sensitive(self) -> None:
text = "MODEL=gpt-5.4"
result = _mask_secrets(text)
assert result == text
# ---------------------------------------------------------------------------
# Message conversion tests (Anthropic)
# ---------------------------------------------------------------------------
class TestAnthropicConversion:
"""Test the Anthropic message/tool conversion inside _BootstrapLLM."""
def _make_llm(self) -> _BootstrapLLM:
return _BootstrapLLM("anthropic", MagicMock(), "test-model")
def test_tool_format_conversion(self) -> None:
"""OpenAI tool format should convert to Anthropic format."""
llm = self._make_llm()
# The conversion happens inside _complete_anthropic; we test indirectly
# by checking the tools passed to the mock client
mock_response = MagicMock()
mock_response.content = [MagicMock(type="text", text="hello")]
mock_response.stop_reason = "end_turn"
llm.client.messages.create.return_value = mock_response
llm.complete(
[{"role": "system", "content": "sys"}, {"role": "user", "content": "hi"}],
TOOLS[:1], # Just read_file
)
call_kwargs = llm.client.messages.create.call_args[1]
api_tools = call_kwargs["tools"]
assert len(api_tools) == 1
assert api_tools[0]["name"] == "read_file"
assert "input_schema" in api_tools[0]
assert "description" in api_tools[0]
def test_system_message_extraction(self) -> None:
"""System message should be extracted to system parameter."""
llm = self._make_llm()
mock_response = MagicMock()
mock_response.content = [MagicMock(type="text", text="ok")]
mock_response.stop_reason = "end_turn"
llm.client.messages.create.return_value = mock_response
llm.complete(
[{"role": "system", "content": "test system"}, {"role": "user", "content": "hi"}],
[],
)
call_kwargs = llm.client.messages.create.call_args[1]
assert call_kwargs["system"] == "test system"
# System should NOT appear in messages
for msg in call_kwargs["messages"]:
assert msg["role"] != "system"
def test_tool_result_conversion(self) -> None:
"""OpenAI tool result messages should convert to Anthropic format."""
llm = self._make_llm()
mock_response = MagicMock()
mock_response.content = [MagicMock(type="text", text="got it")]
mock_response.stop_reason = "end_turn"
llm.client.messages.create.return_value = mock_response
messages = [
{"role": "system", "content": "sys"},
{"role": "user", "content": "hi"},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "tc_1",
"type": "function",
"function": {"name": "check_docker", "arguments": "{}"},
}
],
},
{
"role": "tool",
"tool_call_id": "tc_1",
"content": "Docker: installed",
},
]
llm.complete(messages, TOOLS)
call_kwargs = llm.client.messages.create.call_args[1]
api_messages = call_kwargs["messages"]
# Find the tool_result message
tool_result_found = False
for msg in api_messages:
if msg["role"] == "user" and isinstance(msg.get("content"), list):
for block in msg["content"]:
if isinstance(block, dict) and block.get("type") == "tool_result":
assert block["tool_use_id"] == "tc_1"
assert block["content"] == "Docker: installed"
tool_result_found = True
assert tool_result_found
def test_tool_use_blocks_in_assistant(self) -> None:
"""Assistant messages with tool_calls should convert to content blocks."""
llm = self._make_llm()
mock_response = MagicMock()
mock_response.content = [MagicMock(type="text", text="ok")]
mock_response.stop_reason = "end_turn"
llm.client.messages.create.return_value = mock_response
messages = [
{"role": "system", "content": "sys"},
{"role": "user", "content": "hi"},
{
"role": "assistant",
"content": "Let me check",
"tool_calls": [
{
"id": "tc_1",
"type": "function",
"function": {"name": "check_docker", "arguments": "{}"},
}
],
},
{"role": "tool", "tool_call_id": "tc_1", "content": "ok"},
]
llm.complete(messages, TOOLS)
call_kwargs = llm.client.messages.create.call_args[1]
api_messages = call_kwargs["messages"]
# First message should be user "hi"
assert api_messages[0]["role"] == "user"
# Second should be assistant with content blocks
assistant_msg = api_messages[1]
assert assistant_msg["role"] == "assistant"
assert isinstance(assistant_msg["content"], list)
# Should have text block + tool_use block
types = [b["type"] for b in assistant_msg["content"]]
assert "text" in types
assert "tool_use" in types
class TestOpenAICompletion:
"""Test the OpenAI path of _BootstrapLLM."""
def test_text_response(self) -> None:
llm = _BootstrapLLM("openai", MagicMock(), "gpt-5.4")
mock_choice = MagicMock()
mock_choice.message.content = "Hello!"
mock_choice.message.tool_calls = None
mock_choice.finish_reason = "stop"
llm.client.chat.completions.create.return_value = MagicMock(choices=[mock_choice])
content, tool_calls, reason = llm.complete([{"role": "user", "content": "hi"}], TOOLS)
assert content == "Hello!"
assert tool_calls is None
assert reason == "stop"
def test_tool_call_response(self) -> None:
llm = _BootstrapLLM("openai", MagicMock(), "gpt-5.4")
mock_tc = MagicMock()
mock_tc.id = "call_123"
mock_tc.function.name = "check_docker"
mock_tc.function.arguments = "{}"
mock_choice = MagicMock()
mock_choice.message.content = ""
mock_choice.message.tool_calls = [mock_tc]
mock_choice.finish_reason = "tool_calls"
llm.client.chat.completions.create.return_value = MagicMock(choices=[mock_choice])
content, tool_calls, reason = llm.complete(
[{"role": "user", "content": "check docker"}], TOOLS
)
assert tool_calls is not None
assert len(tool_calls) == 1
assert tool_calls[0]["function"]["name"] == "check_docker"
assert tool_calls[0]["id"] == "call_123"
def test_no_content(self) -> None:
llm = _BootstrapLLM("openai", MagicMock(), "gpt-5.4")
mock_choice = MagicMock()
mock_choice.message.content = None
mock_choice.message.tool_calls = None
mock_choice.finish_reason = "stop"
llm.client.chat.completions.create.return_value = MagicMock(choices=[mock_choice])
content, tool_calls, reason = llm.complete([{"role": "user", "content": "hi"}], [])
assert content == ""
assert tool_calls is None
# ---------------------------------------------------------------------------
# Conversation loop tests
# ---------------------------------------------------------------------------
class TestConversationLoop:
def test_quit_exits(self) -> None:
"""User typing 'quit' should exit the loop."""
llm = MagicMock(spec=_BootstrapLLM)
llm.complete.return_value = ("What would you like?", None, "stop")
with patch("builtins.input", return_value="quit"):
from turnstone.bootstrap import _run_conversation
_run_conversation(llm, Path("/tmp"))
def test_tool_calls_executed(self, tmp_path: Path) -> None:
"""Tool calls should be executed and results fed back."""
llm = MagicMock(spec=_BootstrapLLM)
# First call: LLM returns a tool call
llm.complete.side_effect = [
(
"",
[
{
"id": "tc_1",
"type": "function",
"function": {"name": "generate_secret", "arguments": "{}"},
}
],
"tool_calls",
),
# Second call: LLM responds with text after seeing tool result
("Here's your secret!", None, "stop"),
]
with patch("builtins.input", return_value="quit"):
from turnstone.bootstrap import _run_conversation
_run_conversation(llm, tmp_path)
# Verify two calls were made
assert llm.complete.call_count == 2
# Verify tool result was fed back in second call's messages
second_call_messages = llm.complete.call_args_list[1][0][0]
tool_results = [m for m in second_call_messages if m.get("role") == "tool"]
assert len(tool_results) == 1
assert tool_results[0]["tool_call_id"] == "tc_1"
# Result should be a 64-char hex string
assert len(tool_results[0]["content"]) == 64
def test_empty_input_skipped(self) -> None:
"""Empty user input should be skipped."""
llm = MagicMock(spec=_BootstrapLLM)
llm.complete.return_value = ("Ask me something.", None, "stop")
call_count = 0
def mock_input(prompt: str = "") -> str:
nonlocal call_count
call_count += 1
if call_count <= 2:
return "" # Empty inputs
return "quit"
with patch("builtins.input", side_effect=mock_input):
from turnstone.bootstrap import _run_conversation
_run_conversation(llm, Path("/tmp"))
def test_finish_tool_exits_loop(self, tmp_path: Path) -> None:
"""LLM calling finish tool should exit the conversation cleanly."""
llm = MagicMock(spec=_BootstrapLLM)
llm.complete.return_value = (
"",
[
{
"id": "tc_fin",
"type": "function",
"function": {
"name": "finish",
"arguments": '{"summary": "All configured."}',
},
}
],
"tool_calls",
)
from turnstone.bootstrap import _run_conversation
# Should return without needing user input
_run_conversation(llm, tmp_path)
assert llm.complete.call_count == 1
# ---------------------------------------------------------------------------
# Interactive startup tests
# ---------------------------------------------------------------------------
class TestProviderDefaults:
def test_openai_default_model(self) -> None:
from turnstone.bootstrap import _DEFAULT_MODELS
assert _DEFAULT_MODELS["openai"] == "gpt-5.4"
def test_anthropic_default_model(self) -> None:
from turnstone.bootstrap import _DEFAULT_MODELS
assert _DEFAULT_MODELS["anthropic"] == "claude-sonnet-4-6"
class TestSelectProvider:
def test_openai_selection(self) -> None:
"""Selecting '1' should set up OpenAI."""
mock_client = MagicMock()
with (
patch("builtins.input", side_effect=["1", ""]),
patch("getpass.getpass", return_value="sk-test"),
patch("openai.OpenAI", return_value=mock_client),
):
from turnstone.bootstrap import _select_provider
provider, client, model = _select_provider()
assert provider == "openai"
assert model == "gpt-5.4"
def test_local_selection(self) -> None:
"""Selecting '3' should set up local/vLLM."""
mock_client = MagicMock()
# Ensure OPENAI_API_KEY is not in env so we hit the getpass path
env = {k: v for k, v in os.environ.items() if k != "OPENAI_API_KEY"}
with (
patch.dict("os.environ", env, clear=True),
patch("builtins.input", side_effect=["3", "http://localhost:8000/v1", "my-model"]),
patch("getpass.getpass", return_value="none"),
patch("openai.OpenAI", return_value=mock_client),
):
from turnstone.bootstrap import _select_provider
provider, client, model = _select_provider()
assert provider == "openai"
assert model == "my-model"
# ---------------------------------------------------------------------------
# System prompt and tools sanity checks
# ---------------------------------------------------------------------------
class TestConstants:
def test_system_prompt_not_empty(self) -> None:
assert len(SYSTEM_PROMPT) > 500
def test_system_prompt_mentions_turnstone(self) -> None:
assert "Turnstone" in SYSTEM_PROMPT
def test_all_tools_have_required_fields(self) -> None:
for tool in TOOLS:
assert tool["type"] == "function"
func = tool["function"]
assert "name" in func
assert "description" in func
assert "parameters" in func
assert func["parameters"]["type"] == "object"
def test_tool_count(self) -> None:
assert len(TOOLS) == 7
def test_all_tools_have_implementations(self) -> None:
from turnstone.bootstrap import TOOL_FUNCTIONS
for tool in TOOLS:
name = tool["function"]["name"]
assert name in TOOL_FUNCTIONS, f"Missing implementation for tool: {name}"
+69
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@@ -0,0 +1,69 @@
"""Tests for bridge event publishing — TurnCompleteEvent on idle transitions."""
from unittest.mock import MagicMock, patch
from turnstone.mq.bridge import Bridge
from turnstone.mq.protocol import StateChangeEvent, TurnCompleteEvent
def _make_bridge():
"""Create a Bridge with a mock broker (no Redis or HTTP needed)."""
broker = MagicMock()
bridge = Bridge(server_url="http://localhost:8080", broker=broker, node_id="test-node")
return bridge
class TestIdleTurnComplete:
"""TurnCompleteEvent should be emitted on every idle transition."""
def test_idle_emits_turn_complete_with_correlation_id(self):
"""Bridge-initiated turn: TurnCompleteEvent has the correlation_id."""
bridge = _make_bridge()
bridge._active_sends["ws-1"] = "cid-abc"
published = []
with patch.object(
bridge, "_publish_ws", side_effect=lambda ws, ev: published.append((ws, ev))
):
bridge._handle_global_event({"type": "ws_state", "ws_id": "ws-1", "state": "idle"})
turn_completes = [(ws, ev) for ws, ev in published if isinstance(ev, TurnCompleteEvent)]
assert len(turn_completes) == 1
ws, ev = turn_completes[0]
assert ws == "ws-1"
assert ev.correlation_id == "cid-abc"
# correlation_id should be removed from _active_sends
assert "ws-1" not in bridge._active_sends
def test_idle_emits_turn_complete_without_correlation_id(self):
"""Server-UI-initiated turn: TurnCompleteEvent has empty correlation_id."""
bridge = _make_bridge()
# No entry in _active_sends for this workstream
published = []
with patch.object(
bridge, "_publish_ws", side_effect=lambda ws, ev: published.append((ws, ev))
):
bridge._handle_global_event({"type": "ws_state", "ws_id": "ws-2", "state": "idle"})
turn_completes = [(ws, ev) for ws, ev in published if isinstance(ev, TurnCompleteEvent)]
assert len(turn_completes) == 1
ws, ev = turn_completes[0]
assert ws == "ws-2"
assert ev.correlation_id == ""
def test_non_idle_state_does_not_emit_turn_complete(self):
"""Non-idle state transitions should emit StateChangeEvent but not TurnCompleteEvent."""
bridge = _make_bridge()
published = []
with patch.object(
bridge, "_publish_ws", side_effect=lambda ws, ev: published.append((ws, ev))
):
bridge._handle_global_event({"type": "ws_state", "ws_id": "ws-3", "state": "thinking"})
state_changes = [ev for _, ev in published if isinstance(ev, StateChangeEvent)]
turn_completes = [ev for _, ev in published if isinstance(ev, TurnCompleteEvent)]
assert len(state_changes) == 1
assert state_changes[0].state == "thinking"
assert len(turn_completes) == 0
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"""Tests for generation cancellation (cooperative cancel via threading.Event)."""
import threading
import time
from dataclasses import dataclass, field
from unittest.mock import MagicMock, patch
import pytest
from turnstone.core.session import ChatSession, GenerationCancelled
class NullUI:
"""UI adapter that records state changes and discards other output."""
def __init__(self):
self.states = []
self.infos = []
self.stream_ends = 0
def on_thinking_start(self):
pass
def on_thinking_stop(self):
pass
def on_reasoning_token(self, text):
pass
def on_content_token(self, text):
pass
def on_stream_end(self):
self.stream_ends += 1
def approve_tools(self, items):
return True, None
def on_tool_result(self, call_id, name, output):
pass
def on_tool_output_chunk(self, call_id, chunk):
pass
def on_status(self, usage, context_window, effort):
pass
def on_plan_review(self, content):
return ""
def on_info(self, message):
self.infos.append(message)
def on_error(self, message):
pass
def on_state_change(self, state):
self.states.append(state)
def on_rename(self, name):
pass
def _make_session(ui=None, **kwargs):
"""Helper to construct a ChatSession with minimal setup."""
defaults = dict(
client=MagicMock(),
model="test-model",
ui=ui or NullUI(),
instructions=None,
temperature=0.5,
max_tokens=4096,
tool_timeout=30,
)
defaults.update(kwargs)
return ChatSession(**defaults)
class TestCancelEvent:
"""Basic cancel event mechanics."""
def test_cancel_sets_event(self, tmp_db):
session = _make_session()
assert not session._cancel_event.is_set()
session.cancel()
assert session._cancel_event.is_set()
def test_check_cancelled_raises_when_set(self, tmp_db):
session = _make_session()
session.cancel()
with pytest.raises(GenerationCancelled):
session._check_cancelled()
def test_check_cancelled_noop_when_clear(self, tmp_db):
session = _make_session()
session._check_cancelled() # Should not raise
def test_cancel_is_idempotent(self, tmp_db):
session = _make_session()
session.cancel()
session.cancel() # Double call is harmless
assert session._cancel_event.is_set()
def test_cancel_event_cleared_on_send_start(self, tmp_db):
"""send() clears a stale cancel flag before starting."""
ui = NullUI()
session = _make_session(ui=ui)
session.cancel() # Set stale flag
@dataclass
class FakeChunk:
content_delta: str = ""
reasoning_delta: str = ""
tool_call_deltas: list = field(default_factory=list)
usage: None = None
finish_reason: str = "stop"
info_delta: str = ""
provider_blocks: list = field(default_factory=list)
fake_stream = iter([FakeChunk(content_delta="Hello", finish_reason="stop")])
with (
patch.object(session, "_create_stream_with_retry", return_value=fake_stream),
patch.object(session, "_full_messages", return_value=[]),
):
session.send("test")
# Should complete normally — cancel flag was cleared
assert "idle" in ui.states
class TestCancelDuringStreaming:
"""Cancel while _stream_response is iterating chunks."""
def test_preserves_partial_content(self, tmp_db):
"""Partial content already streamed should be preserved in messages."""
ui = NullUI()
session = _make_session(ui=ui)
@dataclass
class FakeChunk:
content_delta: str = ""
reasoning_delta: str = ""
tool_call_deltas: list = field(default_factory=list)
usage: None = None
finish_reason: str = ""
info_delta: str = ""
provider_blocks: list = field(default_factory=list)
def cancelling_stream():
"""Yield a few chunks then cancel."""
yield FakeChunk(content_delta="Hello ")
yield FakeChunk(content_delta="world")
session.cancel()
yield FakeChunk(content_delta=" — this should not appear")
with (
patch.object(session, "_create_stream_with_retry", return_value=cancelling_stream()),
patch.object(session, "_full_messages", return_value=[]),
):
session.send("test")
# Session should be idle (not error)
assert ui.states[-1] == "idle"
# Check that "[Generation cancelled]" was emitted
assert any("cancelled" in i.lower() for i in ui.infos)
# The partial content should be preserved as an assistant message
assistant_msgs = [m for m in session.messages if m["role"] == "assistant"]
assert len(assistant_msgs) == 1
assert assistant_msgs[0]["content"] == "Hello world"
# No tool_calls in the partial message
assert "tool_calls" not in assistant_msgs[0]
class TestCancelDuringToolExecution:
"""Cancel while tools are being executed."""
def test_rollback_incomplete_tool_results(self, tmp_db):
"""When cancelled during tool execution, incomplete results are rolled back."""
ui = NullUI()
session = _make_session(ui=ui)
@dataclass
class FakeChunk:
content_delta: str = ""
reasoning_delta: str = ""
tool_call_deltas: list = field(default_factory=list)
usage: None = None
finish_reason: str = ""
info_delta: str = ""
provider_blocks: list = field(default_factory=list)
@dataclass
class FakeToolDelta:
index: int = 0
id: str = ""
name: str = ""
arguments_delta: str = ""
# First call: return content with a tool call
def stream_with_tool():
yield FakeChunk(
tool_call_deltas=[FakeToolDelta(index=0, id="tc_1", name="bash")],
finish_reason="",
)
yield FakeChunk(
tool_call_deltas=[FakeToolDelta(index=0, arguments_delta='{"command":"echo hi"}')],
finish_reason="tool_calls",
)
call_count = 0
def fake_create_stream(msgs):
nonlocal call_count
call_count += 1
if call_count == 1:
return stream_with_tool()
# Should not be called a second time since cancel happens before phase 3
raise AssertionError("Should not stream again after cancel")
def cancel_before_execute(tool_calls):
"""Simulate cancel happening before tool execution."""
session.cancel()
raise GenerationCancelled()
with (
patch.object(session, "_create_stream_with_retry", side_effect=fake_create_stream),
patch.object(session, "_full_messages", return_value=[]),
patch.object(session, "_execute_tools", side_effect=cancel_before_execute),
):
session.send("run something")
# Session should be idle
assert ui.states[-1] == "idle"
# No tool result messages should remain (rolled back)
roles = [m["role"] for m in session.messages]
assert "tool" not in roles
# The assistant message with tool_calls should also be rolled back
for m in session.messages:
if m["role"] == "assistant":
assert "tool_calls" not in m or not m["tool_calls"]
class TestCancelWhenIdle:
"""Cancelling when no generation is active is harmless."""
def test_cancel_when_idle_is_noop(self, tmp_db):
session = _make_session()
session.cancel()
# Next send should work normally (cancel cleared at start)
@dataclass
class FakeChunk:
content_delta: str = ""
reasoning_delta: str = ""
tool_call_deltas: list = field(default_factory=list)
usage: None = None
finish_reason: str = "stop"
info_delta: str = ""
provider_blocks: list = field(default_factory=list)
fake_stream = iter([FakeChunk(content_delta="ok", finish_reason="stop")])
with (
patch.object(session, "_create_stream_with_retry", return_value=fake_stream),
patch.object(session, "_full_messages", return_value=[]),
):
session.send("hello")
# Should complete normally
assistant_msgs = [m for m in session.messages if m["role"] == "assistant"]
assert len(assistant_msgs) == 1
assert assistant_msgs[0]["content"] == "ok"
class TestCancelThreadSafety:
"""Cancel from a different thread while generation is running."""
def test_cancel_from_another_thread(self, tmp_db):
ui = NullUI()
session = _make_session(ui=ui)
@dataclass
class FakeChunk:
content_delta: str = ""
reasoning_delta: str = ""
tool_call_deltas: list = field(default_factory=list)
usage: None = None
finish_reason: str = ""
info_delta: str = ""
provider_blocks: list = field(default_factory=list)
barrier = threading.Event()
def slow_stream():
yield FakeChunk(content_delta="Start")
barrier.set() # Signal that streaming has started
time.sleep(2) # Simulate slow streaming
yield FakeChunk(content_delta=" end", finish_reason="stop")
with (
patch.object(session, "_create_stream_with_retry", return_value=slow_stream()),
patch.object(session, "_full_messages", return_value=[]),
):
# Run send() in a thread
error = []
def run():
try:
session.send("test")
except Exception as e:
error.append(e)
t = threading.Thread(target=run)
t.start()
barrier.wait(timeout=5)
# Cancel from main thread
session.cancel()
t.join(timeout=5)
assert not error
assert ui.states[-1] == "idle"
assert any("cancelled" in i.lower() for i in ui.infos)
class TestGenerationCancelledException:
"""GenerationCancelled is a BaseException, not Exception."""
def test_is_base_exception(self):
assert issubclass(GenerationCancelled, BaseException)
def test_not_caught_by_except_exception(self):
"""Verify GenerationCancelled is NOT caught by except Exception."""
with pytest.raises(GenerationCancelled):
try:
raise GenerationCancelled()
except Exception:
pytest.fail("GenerationCancelled was caught by except Exception")
class TestStreamFlushBeforeToolCalls:
"""Content pending buffer must be flushed before tool call processing."""
def test_pending_content_flushed_before_tool_calls(self, tmp_db):
"""All content tokens arrive via on_content_token before tool calls."""
events: list[tuple[str, ...]] = []
class TrackingUI(NullUI):
def on_content_token(self, text):
events.append(("content", text))
def on_stream_end(self):
events.append(("stream_end",))
super().on_stream_end()
ui = TrackingUI()
session = _make_session(ui=ui)
@dataclass
class FakeChunk:
content_delta: str = ""
reasoning_delta: str = ""
tool_call_deltas: list = field(default_factory=list)
usage: None = None
finish_reason: str = ""
info_delta: str = ""
provider_blocks: list = field(default_factory=list)
@dataclass
class FakeToolDelta:
index: int = 0
id: str = ""
name: str = ""
arguments_delta: str = ""
def stream_content_then_tool():
# Content long enough to leave chars in pending buffer
# (_MAX_TAG_LEN = 13, so _drain_pending retains last 13 chars)
yield FakeChunk(content_delta="Hello world, this is a test message")
yield FakeChunk(
tool_call_deltas=[FakeToolDelta(index=0, id="tc_1", name="bash")],
)
yield FakeChunk(
tool_call_deltas=[FakeToolDelta(index=0, arguments_delta='{"command":"echo hi"}')],
finish_reason="tool_calls",
)
with (
patch.object(
session,
"_create_stream_with_retry",
return_value=stream_content_then_tool(),
),
patch.object(session, "_full_messages", return_value=[]),
# Prevent real tool execution (e.g., bash) during this test.
patch.object(session, "_execute_tools", return_value=([], None)),
):
session.send("test")
# All content should have been emitted
total = "".join(e[1] for e in events if e[0] == "content")
assert total == "Hello world, this is a test message"
# No content events after stream_end
stream_end_idx = next(i for i, e in enumerate(events) if e[0] == "stream_end")
late_content = [e for e in events[stream_end_idx + 1 :] if e[0] == "content"]
assert late_content == [], f"Content after stream_end: {late_content}"
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"""Tests for the Discord channel adapter (bot, cog, views, config, CLI)."""
from __future__ import annotations
import asyncio
import sys
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
discord = pytest.importorskip("discord")
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _run(coro):
"""Run an async coroutine in a fresh event loop (no pytest-asyncio needed)."""
return asyncio.run(coro)
def _make_message(*, bot=False, guild=True, content="hello", channel=None):
"""Build a mock ``discord.Message``."""
msg = MagicMock(spec=discord.Message)
msg.author = MagicMock()
msg.author.bot = bot
msg.author.id = 12345
msg.content = content
msg.guild = MagicMock() if guild else None
msg.channel = channel or MagicMock()
msg.mentions = []
return msg
def _make_interaction(*, footer_text=None, has_embeds=True):
"""Build a mock ``discord.Interaction``."""
interaction = MagicMock(spec=discord.Interaction)
interaction.user = MagicMock()
interaction.user.id = 67890
interaction.response = MagicMock()
interaction.response.send_message = AsyncMock()
if has_embeds and footer_text is not None:
embed = MagicMock()
embed.footer.text = footer_text
interaction.message = MagicMock()
interaction.message.embeds = [embed]
elif not has_embeds:
interaction.message = MagicMock()
interaction.message.embeds = []
else:
interaction.message = None
return interaction
# ---------------------------------------------------------------------------
# DiscordConfig
# ---------------------------------------------------------------------------
class TestDiscordConfig:
"""Tests for DiscordConfig default and custom values."""
def test_defaults(self):
from turnstone.channels.discord.config import DiscordConfig
cfg = DiscordConfig()
assert cfg.bot_token == ""
assert cfg.guild_id == 0
assert cfg.allowed_channels == []
assert cfg.thread_auto_archive == 1440
assert cfg.max_message_length == 2000
assert cfg.streaming_edit_interval == 1.5
# Inherited from ChannelConfig
assert cfg.redis_host == "localhost"
assert cfg.redis_port == 6379
assert cfg.model == ""
assert cfg.auto_approve is False
def test_custom_values(self):
from turnstone.channels.discord.config import DiscordConfig
cfg = DiscordConfig(
bot_token="tok_123",
guild_id=999,
allowed_channels=[1, 2, 3],
thread_auto_archive=60,
max_message_length=4000,
streaming_edit_interval=0.5,
model="gpt-5",
auto_approve=True,
)
assert cfg.bot_token == "tok_123"
assert cfg.guild_id == 999
assert cfg.allowed_channels == [1, 2, 3]
assert cfg.thread_auto_archive == 60
assert cfg.max_message_length == 4000
assert cfg.streaming_edit_interval == 0.5
assert cfg.model == "gpt-5"
assert cfg.auto_approve is True
# ---------------------------------------------------------------------------
# StreamingMessage
# ---------------------------------------------------------------------------
class TestStreamingMessage:
"""Tests for the StreamingMessage helper in bot.py."""
def test_append_accumulates(self):
from turnstone.channels.discord.bot import StreamingMessage
channel = MagicMock()
channel.send = AsyncMock()
sm = StreamingMessage(channel=channel, edit_interval=999.0)
_run(sm.append("hello "))
_run(sm.append("world"))
assert "".join(sm._buffer) == "hello world"
def test_finalize_sends_when_no_prior_message(self):
from turnstone.channels.discord.bot import StreamingMessage
channel = MagicMock()
channel.send = AsyncMock()
sm = StreamingMessage(channel=channel, edit_interval=999.0)
_run(sm.append("hello"))
_run(sm.finalize())
channel.send.assert_awaited_once_with("hello")
def test_finalize_edits_existing_message(self):
from turnstone.channels.discord.bot import StreamingMessage
channel = MagicMock()
sent_msg = MagicMock()
sent_msg.edit = AsyncMock()
channel.send = AsyncMock(return_value=sent_msg)
sm = StreamingMessage(channel=channel, edit_interval=0.0)
# First append triggers flush (interval=0) which creates the message.
_run(sm.append("hi"))
assert sm._message is sent_msg
_run(sm.append(" there"))
_run(sm.finalize())
# finalize edits the existing message with full content.
sent_msg.edit.assert_awaited_with(content="hi there")
def test_finalize_chunks_long_content(self):
from turnstone.channels.discord.bot import StreamingMessage
channel = MagicMock()
channel.send = AsyncMock()
sm = StreamingMessage(channel=channel, max_length=10, edit_interval=999.0)
# Content longer than max_length should be chunked on finalize.
_run(sm.append("a" * 25))
_run(sm.finalize())
# Should have sent multiple chunks via channel.send.
assert channel.send.await_count >= 2
def test_finalize_empty_is_noop(self):
from turnstone.channels.discord.bot import StreamingMessage
channel = MagicMock()
channel.send = AsyncMock()
sm = StreamingMessage(channel=channel)
_run(sm.finalize())
channel.send.assert_not_awaited()
# ---------------------------------------------------------------------------
# MessageCog._on_message
# ---------------------------------------------------------------------------
class TestMessageCog:
"""Tests for the MessageCog on_message filtering logic."""
def _make_cog(self):
"""Build a MessageCog with a fully mocked bot and TurnstoneBot."""
from turnstone.channels.discord.cog import MessageCog
bot = MagicMock()
bot.user = MagicMock()
bot.user.id = 99999
bot.user.mentioned_in = MagicMock(return_value=False)
ts = MagicMock()
ts._is_allowed_channel = MagicMock(return_value=True)
ts.storage = MagicMock()
ts.router = MagicMock()
ts.router.resolve_user = AsyncMock(return_value="u_abc")
ts.router.send_message = AsyncMock()
ts.config = MagicMock()
ts._ws_tasks = {}
bot.turnstone = ts
cog = MessageCog(bot)
return cog, ts, bot
def test_ignores_bot_messages(self):
cog, ts, _bot = self._make_cog()
msg = _make_message(bot=True)
_run(cog._on_message(msg))
# No router interaction means the message was ignored.
ts.router.send_message.assert_not_awaited()
def test_ignores_own_messages(self):
cog, ts, bot = self._make_cog()
msg = _make_message(bot=False)
msg.author = bot.user # message from ourselves
_run(cog._on_message(msg))
ts.router.send_message.assert_not_awaited()
def test_ignores_dms(self):
cog, ts, _bot = self._make_cog()
msg = _make_message(guild=False)
_run(cog._on_message(msg))
ts.router.send_message.assert_not_awaited()
def test_ignores_non_allowed_channels(self):
cog, ts, _bot = self._make_cog()
ts._is_allowed_channel = MagicMock(return_value=False)
thread = MagicMock(spec=discord.Thread)
thread.id = 111
thread.parent_id = 222
msg = _make_message(channel=thread)
_run(cog._on_message(msg))
ts.router.send_message.assert_not_awaited()
# ---------------------------------------------------------------------------
# _parse_footer (views.py)
# ---------------------------------------------------------------------------
class TestParseFooter:
"""Tests for _parse_footer in views.py."""
def test_valid_footer(self):
from turnstone.channels.discord.views import _parse_footer
interaction = _make_interaction(footer_text="ws_abc|corr_123")
result = _parse_footer(interaction)
assert result == ("ws_abc", "corr_123")
def test_footer_with_pipe_in_correlation(self):
from turnstone.channels.discord.views import _parse_footer
interaction = _make_interaction(footer_text="ws_abc|corr|extra")
result = _parse_footer(interaction)
# split("|", 1) means the second part includes everything after first pipe.
assert result == ("ws_abc", "corr|extra")
def test_no_message_returns_none(self):
from turnstone.channels.discord.views import _parse_footer
interaction = MagicMock()
interaction.message = None
assert _parse_footer(interaction) is None
def test_no_embeds_returns_none(self):
from turnstone.channels.discord.views import _parse_footer
interaction = _make_interaction(has_embeds=False)
assert _parse_footer(interaction) is None
def test_empty_footer_returns_none(self):
from turnstone.channels.discord.views import _parse_footer
# Build an interaction whose embed has footer.text = None.
interaction = MagicMock(spec=discord.Interaction)
embed = MagicMock()
embed.footer.text = None
interaction.message = MagicMock()
interaction.message.embeds = [embed]
assert _parse_footer(interaction) is None
def test_footer_without_pipe_returns_none(self):
from turnstone.channels.discord.views import _parse_footer
interaction = _make_interaction(footer_text="no_pipe_here")
# footer text has no "|" separator
embed = MagicMock()
embed.footer.text = "no_pipe_here"
interaction.message.embeds = [embed]
assert _parse_footer(interaction) is None
# ---------------------------------------------------------------------------
# CLI main() — no adapter configured
# ---------------------------------------------------------------------------
class TestWsEventFinalization:
"""TurnCompleteEvent should finalize streaming messages in the Discord bot."""
def test_turn_complete_finalizes_streaming(self):
"""ContentEvent + TurnCompleteEvent(correlation_id='') finalizes the message."""
from turnstone.channels.discord.bot import TurnstoneBot
from turnstone.mq.protocol import ContentEvent, TurnCompleteEvent
bot = MagicMock(spec=TurnstoneBot)
bot.config = MagicMock()
bot.config.max_message_length = 2000
bot.config.streaming_edit_interval = 1.5
bot.config.auto_approve = False
bot.config.auto_approve_tools = []
bot._streaming = {}
bot._pending_approval_msgs = {}
# Use the real _on_ws_event method
bot._on_ws_event = TurnstoneBot._on_ws_event.__get__(bot, TurnstoneBot)
thread = AsyncMock()
# Feed content event
content_raw = ContentEvent(ws_id="ws-1", text="Hello world").to_json()
_run(bot._on_ws_event("ws-1", thread, content_raw))
# StreamingMessage should exist
assert "ws-1" in bot._streaming
# Feed turn complete with empty correlation_id (server-UI-initiated)
complete_raw = TurnCompleteEvent(ws_id="ws-1", correlation_id="").to_json()
_run(bot._on_ws_event("ws-1", thread, complete_raw))
# StreamingMessage should be removed and finalized
assert "ws-1" not in bot._streaming
def test_turn_complete_no_streaming_is_noop(self):
"""TurnCompleteEvent without prior content should not error."""
from turnstone.channels.discord.bot import TurnstoneBot
from turnstone.mq.protocol import TurnCompleteEvent
bot = MagicMock(spec=TurnstoneBot)
bot._streaming = {}
bot._pending_approval_msgs = {}
bot._on_ws_event = TurnstoneBot._on_ws_event.__get__(bot, TurnstoneBot)
thread = AsyncMock()
complete_raw = TurnCompleteEvent(ws_id="ws-1", correlation_id="").to_json()
_run(bot._on_ws_event("ws-1", thread, complete_raw))
# No error, no streaming message
assert "ws-1" not in bot._streaming
# ---------------------------------------------------------------------------
# Verdict display in approval embeds
# ---------------------------------------------------------------------------
class TestApprovalVerdictDisplay:
"""Approval requests should include verdict fields in the Discord embed."""
def _make_bot(self):
"""Build a mock TurnstoneBot with _on_ws_event bound."""
from turnstone.channels.discord.bot import TurnstoneBot
bot = MagicMock(spec=TurnstoneBot)
bot.config = MagicMock()
bot.config.max_message_length = 2000
bot.config.streaming_edit_interval = 1.5
bot.config.auto_approve = False
bot.config.auto_approve_tools = []
bot._streaming = {}
bot._pending_approval_msgs = {}
bot._should_auto_approve = MagicMock(return_value=False)
bot._on_ws_event = TurnstoneBot._on_ws_event.__get__(bot, TurnstoneBot)
return bot
def test_approval_with_heuristic_verdict(self):
"""ApprovalRequestEvent items with verdict dicts add embed fields."""
from turnstone.mq.protocol import ApprovalRequestEvent
bot = self._make_bot()
thread = AsyncMock()
sent_msg = MagicMock()
thread.send = AsyncMock(return_value=sent_msg)
items = [
{
"func_name": "bash",
"preview": "rm -rf /tmp",
"needs_approval": True,
"verdict": {
"risk_level": "high",
"recommendation": "deny",
"confidence": 0.85,
"intent_summary": "Deleting temp files",
"tier": "heuristic",
},
}
]
raw = ApprovalRequestEvent(ws_id="ws-1", correlation_id="corr-1", items=items).to_json()
_run(bot._on_ws_event("ws-1", thread, raw))
# thread.send was called with an embed containing a verdict field
thread.send.assert_awaited_once()
call_kwargs = thread.send.call_args[1]
embed = call_kwargs["embed"]
# discord.Embed.fields is a list of EmbedProxy objects
assert len(embed.fields) == 1
field = embed.fields[0]
assert field.name == "Verdict: bash"
assert "HIGH" in field.value
assert "85%" in field.value
# Pending approval message tracked
assert "ws-1" in bot._pending_approval_msgs
def test_approval_without_verdict(self):
"""ApprovalRequestEvent items without verdict still work normally."""
from turnstone.mq.protocol import ApprovalRequestEvent
bot = self._make_bot()
thread = AsyncMock()
sent_msg = MagicMock()
thread.send = AsyncMock(return_value=sent_msg)
items = [{"func_name": "read_file", "preview": "/etc/hosts", "needs_approval": True}]
raw = ApprovalRequestEvent(ws_id="ws-1", correlation_id="corr-1", items=items).to_json()
_run(bot._on_ws_event("ws-1", thread, raw))
thread.send.assert_awaited_once()
call_kwargs = thread.send.call_args[1]
embed = call_kwargs["embed"]
# No verdict field added
assert len(embed.fields) == 0
def test_intent_verdict_event_updates_embed(self):
"""IntentVerdictEvent should update the pending approval embed."""
from turnstone.mq.protocol import IntentVerdictEvent
bot = self._make_bot()
thread = AsyncMock()
# Set up a pending approval message with a mock embed
msg = MagicMock()
embed = MagicMock()
msg.embeds = [embed]
msg.edit = AsyncMock()
bot._pending_approval_msgs["ws-1"] = msg
raw = IntentVerdictEvent(
ws_id="ws-1",
func_name="bash",
risk_level="high",
recommendation="deny",
confidence=0.9,
intent_summary="Dangerous operation",
tier="llm",
).to_json()
_run(bot._on_ws_event("ws-1", thread, raw))
# Embed should be updated with the judge verdict field
embed.add_field.assert_called_once()
field_kwargs = embed.add_field.call_args[1]
assert field_kwargs["name"] == "Judge Verdict: bash"
assert "HIGH" in field_kwargs["value"]
assert "90%" in field_kwargs["value"]
# Message should be edited
msg.edit.assert_awaited_once()
def test_intent_verdict_without_pending_approval_is_noop(self):
"""IntentVerdictEvent without a pending approval message should not error."""
from turnstone.mq.protocol import IntentVerdictEvent
bot = self._make_bot()
thread = AsyncMock()
raw = IntentVerdictEvent(ws_id="ws-1", func_name="bash", risk_level="low").to_json()
# Should not raise
_run(bot._on_ws_event("ws-1", thread, raw))
def test_turn_complete_clears_pending_approval(self):
"""TurnCompleteEvent should clean up the pending approval message tracking."""
from turnstone.channels.discord.bot import TurnstoneBot
from turnstone.mq.protocol import TurnCompleteEvent
bot = MagicMock(spec=TurnstoneBot)
bot._streaming = {}
bot._pending_approval_msgs = {"ws-1": MagicMock()}
bot._on_ws_event = TurnstoneBot._on_ws_event.__get__(bot, TurnstoneBot)
thread = AsyncMock()
raw = TurnCompleteEvent(ws_id="ws-1", correlation_id="").to_json()
_run(bot._on_ws_event("ws-1", thread, raw))
assert "ws-1" not in bot._pending_approval_msgs
class TestChannelCLI:
"""Tests for the channel CLI entry point."""
def test_exits_without_adapter_token(self):
from turnstone.channels.cli import main
with (
patch.object(sys, "argv", ["turnstone-channel"]),
patch.dict("os.environ", {}, clear=True),
pytest.raises(SystemExit) as exc_info,
):
main()
assert exc_info.value.code == 1
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"""Tests for turnstone.channels._protocol and turnstone.channels._formatter."""
from __future__ import annotations
from turnstone.channels._formatter import (
chunk_message,
format_approval_request,
format_plan_review,
format_verdict,
truncate,
)
from turnstone.channels._protocol import ChannelEvent
# ---------------------------------------------------------------------------
# ChannelEvent
# ---------------------------------------------------------------------------
class TestChannelEvent:
def test_construction(self) -> None:
evt = ChannelEvent(
channel_type="discord",
channel_id="ch-1",
channel_user_id="u-42",
message="hello",
parent_channel_id="parent",
metadata={"key": "val"},
)
assert evt.channel_type == "discord"
assert evt.channel_id == "ch-1"
assert evt.channel_user_id == "u-42"
assert evt.message == "hello"
assert evt.parent_channel_id == "parent"
assert evt.metadata == {"key": "val"}
def test_defaults(self) -> None:
evt = ChannelEvent(
channel_type="slack",
channel_id="ch-2",
channel_user_id="u-7",
message="hi",
)
assert evt.parent_channel_id == ""
assert evt.metadata == {}
def test_metadata_independence(self) -> None:
"""Default metadata dicts are independent across instances."""
a = ChannelEvent(channel_type="x", channel_id="1", channel_user_id="u", message="m")
b = ChannelEvent(channel_type="x", channel_id="2", channel_user_id="u", message="m")
a.metadata["key"] = "val"
assert "key" not in b.metadata
# ---------------------------------------------------------------------------
# chunk_message
# ---------------------------------------------------------------------------
class TestChunkMessage:
def test_empty_string(self) -> None:
assert chunk_message("") == [""]
def test_under_limit(self) -> None:
assert chunk_message("short text", max_length=100) == ["short text"]
def test_exactly_at_limit(self) -> None:
text = "a" * 50
assert chunk_message(text, max_length=50) == [text]
def test_splits_at_newline(self) -> None:
text = "line one\nline two\nline three"
chunks = chunk_message(text, max_length=18)
assert len(chunks) >= 2
# The split should happen at a newline boundary within the text.
# Reassembled chunks (with newline separators) should cover all content.
rejoined = "\n".join(chunks)
assert "line one" in rejoined
assert "line three" in rejoined
def test_splits_at_word_boundary(self) -> None:
text = "word1 word2 word3 word4"
chunks = chunk_message(text, max_length=12)
assert len(chunks) >= 2
# No chunk should start with a space (lstrip handles newlines).
for chunk in chunks:
assert not chunk.startswith("\n")
def test_hard_splits(self) -> None:
text = "a" * 30
chunks = chunk_message(text, max_length=10)
assert len(chunks) == 3
assert "".join(chunks) == text
def test_code_block_spanning_boundary(self) -> None:
text = "before\n```\ncode line 1\ncode line 2\ncode line 3\n```\nafter"
chunks = chunk_message(text, max_length=30)
assert len(chunks) >= 2
# If a chunk opens a code block without closing it, the chunker
# should close it and reopen in the next chunk.
for chunk in chunks:
fence_count = chunk.count("```")
assert fence_count % 2 == 0, f"Unmatched code fence in chunk: {chunk!r}"
def test_multiple_code_blocks(self) -> None:
text = "```\nblock1\n```\ntext\n```\nblock2\n```"
chunks = chunk_message(text, max_length=20)
for chunk in chunks:
fence_count = chunk.count("```")
assert fence_count % 2 == 0, f"Unmatched code fence in chunk: {chunk!r}"
def test_custom_max_length(self) -> None:
text = "hello world"
chunks = chunk_message(text, max_length=5)
assert len(chunks) >= 2
assert chunks[0] == "hello"
def test_very_long_single_line(self) -> None:
text = "x" * 5000
chunks = chunk_message(text, max_length=2000)
assert len(chunks) == 3
total = "".join(chunks)
assert total == text
# ---------------------------------------------------------------------------
# format_approval_request
# ---------------------------------------------------------------------------
class TestFormatApprovalRequest:
def test_single_tool(self) -> None:
items = [{"function": {"name": "read_file", "arguments": "/etc/hosts"}}]
result = format_approval_request(items)
assert "Tool approval required" in result
assert "`read_file`" in result
def test_multiple_tools(self) -> None:
items = [
{"function": {"name": "tool_a", "arguments": "arg1"}},
{"function": {"name": "tool_b", "arguments": "arg2"}},
]
result = format_approval_request(items)
assert "`tool_a`" in result
assert "`tool_b`" in result
def test_long_arguments_truncated(self) -> None:
long_args = "x" * 500
items = [{"function": {"name": "fn", "arguments": long_args}}]
result = format_approval_request(items)
# The result should be shorter than the original args.
assert len(result) < 500
def test_server_sse_format(self) -> None:
"""Items from the server SSE use func_name/preview, not function.name."""
items = [
{
"call_id": "c1",
"func_name": "bash",
"preview": "ls -la",
"header": "Execute: ls -la",
"needs_approval": True,
}
]
result = format_approval_request(items)
assert "`bash`" in result
assert "Execute: ls -la" in result
def test_server_sse_format_no_header(self) -> None:
items = [{"func_name": "read_file", "preview": "/etc/hosts"}]
result = format_approval_request(items)
assert "`read_file`" in result
assert "/etc/hosts" in result
# ---------------------------------------------------------------------------
# format_plan_review
# ---------------------------------------------------------------------------
class TestFormatPlanReview:
def test_format(self) -> None:
result = format_plan_review("Step 1: do stuff")
assert result.startswith("**Plan review requested:**")
assert "Step 1: do stuff" in result
# ---------------------------------------------------------------------------
# format_verdict
# ---------------------------------------------------------------------------
class TestFormatVerdict:
def test_low_risk(self) -> None:
verdict = {
"risk_level": "low",
"recommendation": "allow",
"confidence": 0.95,
"intent_summary": "Reading a config file",
"tier": "heuristic",
}
result = format_verdict(verdict)
assert "HEURISTIC" in result
assert "LOW" in result
assert "95%" in result
assert "allow" in result
assert "_Reading a config file_" in result
# Green circle emoji
assert "\U0001f7e2" in result
def test_high_risk(self) -> None:
verdict = {
"risk_level": "high",
"recommendation": "deny",
"confidence": 0.8,
}
result = format_verdict(verdict)
assert "HIGH" in result
assert "80%" in result
assert "deny" in result
# Red circle emoji
assert "\U0001f534" in result
def test_critical_risk(self) -> None:
verdict = {"risk_level": "critical", "confidence": 0.99}
result = format_verdict(verdict)
assert "CRITICAL" in result
assert "\u26d4" in result
def test_medium_risk_default(self) -> None:
"""Empty risk_level defaults to MEDIUM."""
result = format_verdict({})
assert "MEDIUM" in result
assert "50%" in result
assert "review" in result
def test_no_summary_omits_line(self) -> None:
verdict = {"risk_level": "low", "confidence": 0.7}
result = format_verdict(verdict)
# Should be a single line (no summary italic line).
assert "\n" not in result
def test_with_summary(self) -> None:
verdict = {"risk_level": "low", "intent_summary": "Safe operation"}
result = format_verdict(verdict)
lines = result.split("\n")
assert len(lines) == 2
assert "_Safe operation_" in lines[1]
def test_tier_label(self) -> None:
verdict = {"tier": "llm", "risk_level": "medium"}
result = format_verdict(verdict)
assert "LLM " in result
def test_no_tier_no_label(self) -> None:
verdict = {"risk_level": "low"}
result = format_verdict(verdict)
assert "Risk: LOW" in result
# No double space or extra label prefix.
assert "** " not in result or "**Risk:" in result
# ---------------------------------------------------------------------------
# truncate
# ---------------------------------------------------------------------------
class TestTruncate:
def test_short_text_unchanged(self) -> None:
assert truncate("hello", max_length=200) == "hello"
def test_long_text_truncated(self) -> None:
text = "a" * 300
result = truncate(text, max_length=200)
assert len(result) == 200
assert result.endswith("\u2026")
def test_exactly_at_limit(self) -> None:
text = "b" * 200
assert truncate(text, max_length=200) == text

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