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Author SHA1 Message Date
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
Patrick Buckley 498f23c19e Bump version to 0.3.5 2026-03-04 00:21:28 -08:00
Patrick Buckley e057c364b8 Fix console proxy regressions and add workstream task field (#21) (#21)
* Fix console proxy regressions and add workstream task field (#21)

Bug fixes:
- Fix collector polling unversioned /api/dashboard (404 after API
  versioning PR) — nodes showed red/unreachable, no workstreams
- Fix SSE proxy dropping all data events — upstream sends \r\n line
  endings but proxy split on \n\n only; normalize before parsing
- Fix workstream state stuck on idle — on_state_change() only
  broadcasted via SSE but never updated ws.state on the Workstream
  object; dashboard polling now sees correct attention/running states
- Fix deep-link switchTab early return — when ?ws_id matched the
  only workstream, switchTab bailed (wsId === currentWsId) before
  establishing SSE connection; inline init instead of delegating
- Fix console banner covering dashboard overlay — inject <style>
  offsetting .dashboard-overlay below the 32px banner

Enhancements:
- Add turnstone branding to console proxy banner (turnstone │ Console │ node-id)
- Add initial_message field to CreateWorkstreamMessage protocol and
  console "New Workstream" modal (Task textarea, sent as first message)
- Refactor SSE proxy to use shared httpx client with 30s read timeout
  instead of per-request client creation
- Increase approval timeout default from 300s to 3600s (1 hour)

Updated: Python SDK, TypeScript SDK, OpenAPI specs, MQ client,
API schemas, MQ protocol diagram, SDK docs.

* Address PR #21 review feedback (4 items)

- Log unknown state strings in on_state_change instead of silently
  swallowing; remove unnecessary KeyError catch
- Wrap initial_message POST in _handle_create_ws with error handling
  so workstream creation success isn't masked by send failure
- Strip all \r from SSE chunks instead of replacing \r\n, fixing
  chunk-boundary split edge case
- Add tests for initial_message wiring in directed and pool targeting

* Refactor SSE proxy to use httpx-sse aconnect_sse

Replace manual SSE chunk buffering/parsing with httpx_sse.aconnect_sse()
which handles line endings, event types, and all SSE spec edge cases.
Eliminates the \r\n chunk-boundary bug class entirely. Event types are
now always forwarded (sse.event defaults to "message" per spec).
2026-03-04 00:18:48 -08:00
Patrick Buckley e785a94539 Fix Alembic migration auth failure with PostgreSQL
str(engine.url) in SQLAlchemy 2.x masks the password as '***',
causing SCRAM-SHA-256 authentication to fail when Alembic creates
its own engine from the config URL.
2026-03-03 23:09:31 -08:00
Patrick Buckley 2b58c127b1 Add pluggable storage backend (SQLite + PostgreSQL) and deployment packaging (#20)
* Add pluggable storage backend (SQLite + PostgreSQL) and deployment packaging

Database abstraction: StorageBackend protocol with 21 methods, SQLAlchemy Core
schema, SQLite backend (FTS5), PostgreSQL backend (tsvector/ILIKE), Alembic
migrations, singleton registry. memory.py reduced to thin facade. Session.py
open_db() calls replaced with generic KV methods. [database] config section
with env var support.

Deployment: Docker Compose production profile with PostgreSQL, Dockerfile with
postgres extras and migration entrypoint, Helm chart with bitnami subcharts,
Terraform AWS ECS/Fargate module with RDS + ElastiCache + ALB.

39 new storage tests (934 total). mypy strict clean. Docs and diagrams updated.

* Address PR #20 review feedback (16 items)

- Backends only call create_all() when Alembic migrations are disabled
- Helm configmap uses correct TURNSTONE_DB_BACKEND env var; DB URL
  constructed via env expansion with secret reference instead of ConfigMap
- Migration errors fail fast for PostgreSQL (only non-fatal for SQLite)
- save_memory/delete_memory wrapped in exception handling like other facade fns
- pool_size passed through from config/env to init_storage() in cli + server
- Terraform: DB URL moved to Secrets Manager, auth enabled flag set,
  optional TLS listeners with certificate_arn, Redis transit encryption on
- Docker entrypoint no longer suppresses migration output
- Diagram fixes: removed StaticPool claim, removed non-existent migration ref
- compose.yaml/README: clarified production profile requires DB env vars
2026-03-03 22:57:34 -08:00
Patrick Buckley 5ee539c983 Add Python and TypeScript client SDKs for server and console APIs (#19)
* Add Python and TypeScript client SDKs for server and console APIs

Python SDK (turnstone/sdk/) with sync + async clients for both server
and console APIs. Returns Pydantic models directly, streams SSE events
as typed dataclasses. 27 event types with registry-based deserialization.
High-level send_and_wait() for request-response patterns.

TypeScript SDK (sdk/typescript/) with zero browser dependencies. Uses
fetch + ReadableStream for SSE parsing. Discriminated union event types
with type guards. Same API surface as Python SDK.

63 Python tests, 21 TypeScript tests (vitest). Comprehensive docs at
docs/sdk.md with SDK architecture diagram.

* Address PR #19 review feedback + fix lint

- Fix consume_task leak in send_and_wait when send() raises (try/finally)
- Fix TS sendAndWait: open SSE before send, plumb AbortSignal for timeout
- Add signal param to TS streamSSE for cancellation support
- Fix SSE parser: join multi-line data: fields with \n per spec, handle CRLF
- Fix generate-types.py sys.path (parents[3] not parents[2])
- Document token ignored when httpx_client provided
- Document TS timeout units as milliseconds
- Fix stale docstring in test_sdk_sse.py
- Fix import sorting (ruff I001)
2026-03-03 21:22:24 -08:00
Patrick Buckley 62a4ceac96 Dev/api versioning openapi (#18)
* Add API versioning under /v1/ prefix with OpenAPI 3.1 spec

All API endpoints move to /v1/api/* (clean break, no unversioned
aliases). Non-API routes (/, /health, /metrics, /static, /shared,
/node proxy) stay unversioned.

New turnstone/api/ package:
- Pydantic v2 models for all request/response schemas (server +
  console) used for OpenAPI spec generation
- Programmatic OpenAPI 3.1 spec builder with EndpointSpec catalog
- /openapi.json serves machine-readable spec, /docs serves Swagger UI

Route changes:
- Both servers use Mount("/v1", routes=[...API routes...])
- Auth middleware strips /v1/ prefix before path classification
  (PUBLIC_PATHS/WRITE_PATHS stay unversioned internally)
- Console proxy handles /node/{id}/v1/api/ upstream forwarding
- Bridge and CLI HTTP clients updated to /v1/api/ paths
- /openapi.json and /docs added to PUBLIC_PATHS and rate limiter
  EXEMPT_PATHS

Security fix from review: required_role() now correctly handles
/node/{id}/v1/api/{path} proxy routes (previously the v1 segment
caused write-path detection to fail, allowing read-only token
escalation).

42 new tests (830 total). All frontend JS, docs, and diagrams updated.

* Fix mypy type errors in turnstone/api/ package

- Add generic type params to dict fields in console_schemas.py
- Add return type annotations to docs.py handler factories
- Move type-only imports (BaseModel, Callable, Awaitable) into
  TYPE_CHECKING blocks to satisfy TC002/TC003 ruff rules

* Address PR #18 review feedback + fix mypy errors

Review fixes:
- Add pydantic>=2.0 as explicit dependency in pyproject.toml
  (was only transitively available via openai/mcp)
- Auto-detect path parameters from {param} segments in OpenAPI
  spec builder (fixes missing required path params)
- Use startswith() with concrete prefix for proxy version
  detection instead of fragile substring check
- Make Swagger UI base URL configurable via swagger_ui_base_url
  parameter for air-gapped deployments

Mypy fixes:
- Add generic type params to dict fields in console_schemas
- Add return type annotations to docs.py handler factories
- Move type-only imports into TYPE_CHECKING blocks
2026-03-03 20:28:49 -08:00
Patrick Buckley 29c00c0cdf Extract shared frontend design system into turnstone/shared_static/ (#17)
* Extract shared frontend design system into turnstone/shared_static/

The server UI and console UI had ~60% CSS overlap and significant JS
duplication. Extract shared assets into a new turnstone/shared_static/
package mounted at /shared/ in both servers:

- base.css: design tokens, reset, typography, login/toast/kb overlays,
  dashboard table, state dots, health bar, scrollbar, reduced motion
- auth.js: authFetch, login overlay with focus trap, logout (hooks for
  page-specific post-login/logout callbacks)
- theme.js: dark/light toggle with system preference detection
- toast.js: notification queue with configurable timeout
- utils.js: escapeHtml, formatTokens, ctxClass, formatUptime, formatCount
- kb.js: keyboard shortcuts overlay with configurable content, focus
  management, and focus restore on dismiss

Console proxy updated: JS shim injection moved from proxy_static (app.js
prepend) to proxy_index (inline <script> in HTML) so it runs before any
external scripts. New /shared/ path rewriting and proxy_shared_static
route added. ~1540 lines removed from page-specific files, 775 lines in
shared package. 13 new tests (788 total).

* Fix /shared/ auth and remove __init__.py from shared_static

Address PR #17 review feedback:

1. Add /shared/ to PUBLIC_PREFIXES in auth.py so shared CSS/JS
   loads before authentication (required for login overlay to render)

2. Remove turnstone/shared_static/__init__.py to prevent exposing
   Python package internals (__init__.py, __pycache__) via the
   StaticFiles mount. Not needed for packaging since pyproject.toml
   uses explicit glob includes.

3 new auth tests for /shared/ public path access.
2026-03-03 20:11:49 -08:00
Patrick Buckley b6e0f0fcca Add node version tracking and drift detection to console dashboard (#16)
* Add node version tracking and drift detection to console dashboard

Surface the version field from each node's /health endpoint in the
console dashboard. Collector extracts version into get_overview()
(version_drift + versions fields), promotes it to top-level in
get_nodes(), and adds get_version_info() for per-node detail. Console
/health endpoint includes drift fields.

Frontend adds a VER column to the 7-column node table grid, shows
per-node version strings, tracks versions per group with "mixed" +
yellow drift badge when nodes disagree, and displays a DRIFT warning
or single version in the status bar. Column hidden on mobile (<700px).
ARIA labels include version info for accessibility.

10 new tests (745 total). Docs and diagram updated.

* Fix drift tooltip text: show 'Versions detected' not 'Nodes running'
2026-03-03 18:57:30 -08:00
Patrick Buckley 206e37e73e Fix circuit breaker, rate limiter, and Anthropic web search correctne… (#15)
* Fix circuit breaker, rate limiter, and Anthropic web search correctness (#15)

Three tech debt items addressing correctness and security gaps:

Circuit breaker HALF_OPEN single-request permit:
- Rename should_allow_request property to acquire_request_permit() method
  to make the side-effecting, non-idempotent nature explicit
- Add _half_open_permit flag: exactly one probe request in HALF_OPEN,
  subsequent callers blocked until probe completes
- Explicitly reset permit on all state transitions (record_success,
  record_failure) for clean state machine invariants
- Session uses BaseException catch to ensure record_failure always fires,
  preventing permanent circuit deadlock on probe crash

Rate limiter X-Forwarded-For support:
- Add resolve_client_ip() with rightmost-untrusted XFF parsing
- Configurable trusted_proxies via --ratelimit-trusted-proxies CLI flag
  and [ratelimit] trusted_proxies config (comma-separated CIDRs)
- IPv4-mapped IPv6 normalization (::ffff:x.x.x.x → IPv4) for dual-stack
- Clientless requests (request.client is None) pass through instead of
  sharing a single "unknown" bucket
- Log warning for invalid CIDR entries in trusted_proxies config
- Show trusted proxies in startup log when enabled

Anthropic web search multi-turn encrypted content:
- Capture raw provider content blocks during streaming via _block_to_dict()
  using model_dump(exclude_none=True) to avoid Anthropic API rejection
- Accumulate thinking_delta into raw_blocks (was silently empty on replay)
- Store _provider_content on assistant messages, pass through verbatim in
  _convert_messages() so encrypted_content/encrypted_index survive turns
- Persist to SQLite via new provider_data column (auto-migrated)
- Add thinking/signature to _block_to_dict fallback attribute list

23 new tests (735 total), ruff + mypy clean.

* Fix Copilot PR #15 review issues: provider data, circuit breaker, IP normalization

- Persist assistant message when provider_data exists even if text
  content is empty — prevents losing Anthropic web search encrypted
  content needed for multi-turn replay (session.py)
- Re-raise KeyboardInterrupt/SystemExit immediately after recording
  failure instead of attempting fallback models (session.py)
- Consume HALF_OPEN permit for the transition caller — prevents two
  concurrent probe requests when only one should be allowed
  (healthcheck.py)
- Normalize IPv4-mapped IPv6 addresses consistently in
  resolve_client_ip() — prevents duplicate rate-limit buckets for
  ::ffff:x.x.x.x vs x.x.x.x (ratelimit.py)
2026-03-03 18:28:39 -08:00
Patrick Buckley 6c5441435b Add console workstream creation + server reverse proxy (#14)
* Add console workstream creation + server reverse proxy (#14)

Enable the console dashboard to create workstreams and proxy server UIs,
so users only need network access to the console port.

Workstream creation via MQ:
- POST /api/cluster/workstreams/new with three targeting modes:
  specific node (directed queue), auto (best node by capacity),
  or general pool (shared queue, any bridge picks up)
- Console pushes CreateWorkstreamMessage to Redis; bridge handles
  the rest (server creation, ownership registration, SSE events)

Reverse proxy for server UIs:
- /node/{node_id}/ serves the server's HTML with static path rewriting
  and a console-return banner injected after <body>
- JS proxy shim prepended to app.js overrides fetch() and EventSource()
  to route root-relative URLs through /node/{id}/api/...
- SSE streams proxied via httpx.AsyncClient(timeout=None) with per-
  connection clients for long-lived streams
- GET/POST API requests forwarded with body and auth token

Security:
- Proxy write paths checked against WRITE_PATHS to prevent read-token
  escalation (read tokens cannot POST /api/send through proxy)
- html.escape() on node_id in banner HTML to prevent XSS
- String length limits on name/model inputs

Frontend:
- "+ new" button in header opens creation modal with node dropdown
  (Auto / General pool / specific nodes with capacity display)
- Modal has focus trap, backdrop dismiss, scroll lock, keyboard handling
- Workstream rows and node links deep-link via proxy paths
- Custom select arrow, Instrument Panel modal styling

Documentation:
- docs/console.md rewritten with proxy and creation API docs
- docs/architecture.md console section updated
- PlantUML diagrams 01, 11, 12 updated + PNGs re-rendered
- README.md updated

28 new tests (741 total), ruff + mypy clean.

* Fix Copilot PR #14 review issues: auth bypass, XSS, proxy robustness

- Normalize trailing slashes in required_role() to prevent write-role
  bypass via /api/send/ or /node/{id}/api/send/ (auth.py)
- Validate node_id format in proxy handlers (alphanumeric, dot, dash,
  underscore only) to prevent injection vectors
- Use json.dumps() for JS proxy shim prefix to prevent script injection
- URL-quote node_id in HTML attribute contexts (proxy_index, proxy_static)
- Check upstream status in _proxy_sse() — emit error event on non-200
  instead of keeping a dead SSE connection open
- Check upstream status in proxy_index() — propagate non-2xx errors
- Forward query string in _proxy_post() (consistency with _proxy_get)
- Handle JSON null values in create_workstream() — treat null as empty,
  reject non-string types with 400
- Fix docs/diagram LPUSH → RPUSH to match actual broker implementation
2026-03-03 18:25:18 -08:00
Patrick Buckley f02972c11d Add provider-native web search with Tavily fallback (#13)
* Add provider-native web search with Tavily fallback

Replace client-side Tavily web search with provider-native implementations:

- Anthropic: inject web_search_20250305 server-side tool, handle
  server_tool_use / web_search_tool_result streaming blocks, emit
  info_delta for search status display
- OpenAI: inject web_search_options for gpt-5-search-api, format
  url_citation annotations as footnote sources
- Local/vLLM: preserve existing Tavily-based web_search tool as fallback

Add supports_web_search to ModelCapabilities and info_delta to StreamChunk.
Remove end-of-life GPT-4o model entries from capability tables.
Update docs, diagrams, and README. 88 provider tests (32 new).

* Fix Copilot PR #13 review: capture streaming url_citation annotations

Accumulate url_citation annotations during OpenAI streaming and emit
formatted citations as a final info_delta chunk after the stream ends.
Previously annotations were only captured in non-streaming mode, so
search model users in the interactive path never saw citation sources.
2026-03-03 17:12:49 -08:00
Patrick Buckley d28879208f Add multi-provider LLM adapter with model capability flags (#12)
* Add multi-provider LLM adapter with model capability flags

Introduce a provider abstraction layer between ChatSession and LLM SDK
clients, enabling native support for Anthropic alongside OpenAI-compatible
APIs. Each provider translates at the API boundary while the internal
message format remains OpenAI-like throughout session history and persistence.

- LLMProvider protocol with StreamChunk/CompletionResult normalized types
- OpenAIProvider: GPT-4o, GPT-5.x, O-series capability tables with
  conditional temperature, reasoning_effort, and token param handling
- AnthropicProvider: native streaming, message/tool format conversion,
  adaptive vs manual thinking modes, effort parameter for 4.6 models
- ModelCapabilities per-model flags: temperature support, token param name,
  thinking mode, effort levels, context window, max output
- Smart auto-detect: latest Opus for Anthropic, latest base GPT for OpenAI
- --provider CLI flag for both turnstone and turnstone-server
- anthropic SDK as optional dependency (pip install turnstone[anthropic])
- 56 new provider tests, 672 total passing
- Updated architecture docs and 4 PlantUML diagrams

* Fix Copilot PR #12 review: reasoning_effort gating, Anthropic thinking, provider factory

- Default reasoning_effort_values to () so unknown/local models don't
  receive unsupported top-level reasoning_effort param. Models that need
  it (GPT-5.x, search models) have explicit capability declarations.
- Fix Anthropic _reasoning_params: "none" and "" effort now return {}
  instead of enabling thinking with 4096 budget.
- Use create_provider("openai") singleton instead of OpenAIProvider()
  in ChatSession fallback for consistency with registry path.
- Add 8 parameter gating tests: unknown model no reasoning_effort,
  GPT-5 no temperature, GPT-5.1 conditional temperature, O-series
  no temperature, Anthropic none/empty/low effort.
2026-03-03 16:52:02 -08:00
Patrick Buckley a1f00092f5 Migrate HTTP servers from stdlib to Starlette/ASGI + uvicorn (#11)
* Migrate HTTP servers from stdlib to Starlette/ASGI + uvicorn

Replace Python stdlib http.server (ThreadedHTTPServer, BaseHTTPRequestHandler)
with Starlette ASGI applications served by uvicorn across all three HTTP
entry points. SSE endpoints use sse-starlette EventSourceResponse with
async generators that bridge sync queue.Queue via run_in_executor().
Bridge SSE parser replaced with httpx-sse EventSource.

- turnstone/server.py: Starlette app factory with create_app(), pure ASGI
  middleware (auth, rate limit, metrics, CORS), async route handlers,
  lifespan context manager for startup/shutdown. WebUI and ChatSession
  remain fully synchronous — worker threads unchanged.
- turnstone/console/server.py: Same pattern, simpler (no ChatSession).
  Path params replace manual string slicing for node detail route.
- turnstone/mq/bridge.py: _iter_sse_data() uses httpx_sse.EventSource
  instead of hand-rolled line parser.
- Tests: All ThreadedHTTPServer fixtures replaced with
  starlette.testclient.TestClient via create_app() factories.
- Docs: Updated architecture.md, api-reference.md, README.md, and
  PlantUML diagrams (03, 11) + regenerated PNGs.

* Fix Copilot PR #11 review: TestClient cleanup, JSON error handling, SSE timeout

- Close TestClient in teardown for TestConsoleAuth and TestConsoleLogin to avoid lifespan/resource leaks
- Close TestClient via yield/finally in TestConsoleHTTPEndpoints fixture
- Add _read_json() helper for safe JSON body parsing (returns {} on invalid JSON instead of 500, matching old stdlib handler behavior)
- Apply same try/except pattern to console auth_login endpoint
- Increase SSE queue.get timeout from 1s to 5s to align with sse-starlette ping interval, reducing executor task churn
2026-03-02 23:34:22 -08:00
Patrick Buckley bb3b735d69 Refactor detect_model into shared function, auto-detect context window
Move detect_model() to turnstone.core.model_registry as a single
implementation replacing duplicates in cli.py, server.py, and eval.py.
Auto-detects context window from backend metadata (meta.n_ctx_train)
when available, falling back to the 131072 default otherwise.

Also replace vLLM-specific references in help text and comments with
generic "OpenAI-compatible API" / "model server" language.
2026-03-02 23:28:01 -08:00
Patrick Buckley 87ffad18c2 Use system role instead of developer for broader model compatibility
The developer message role is not supported by all chat templates
(e.g. Qwen). Switch to the standard system role which is universally
supported by OpenAI-compatible APIs.
2026-03-02 23:22:30 -08:00
322 changed files with 83911 additions and 5752 deletions
+9
View File
@@ -12,3 +12,12 @@ venv/
.mypy_cache/
.ruff_cache/
.hypothesis/
deploy/
docs/
tests/
sdk/
*.md
!README.md
!LICENSE
.coverage
.swp
+21 -77
View File
@@ -1,85 +1,29 @@
# =============================================================================
# Turnstone Docker Compose — Environment Configuration
# Copy to .env and fill in your values: cp .env.example .env
# Turnstone Environment Variables
# Copy to .env and adjust values for your deployment
# =============================================================================
# ---------------------------------------------------------------------------
# LLM Backend
# ---------------------------------------------------------------------------
# OpenAI-compatible API URL (vLLM, llama.cpp, OpenAI, etc.)
# -- LLM Backend --------------------------------------------------------------
LLM_BASE_URL=http://host.docker.internal:8000/v1
OPENAI_API_KEY=sk-...
# ANTHROPIC_API_KEY=sk-ant-... # Set instead for Anthropic provider
# TAVILY_API_KEY=tvly-... # For web search fallback (local models only)
# API key for the LLM backend ("dummy" for local servers without auth)
OPENAI_API_KEY=dummy
# -- Database (production profile) --------------------------------------------
# DB_BACKEND=postgresql
# POSTGRES_USER=turnstone
# POSTGRES_PASSWORD=changeme
# DATABASE_URL=postgresql+psycopg://turnstone:changeme@postgres:5432/turnstone
# Tavily API key for web_search tool (optional)
TAVILY_API_KEY=
# -- Redis ---------------------------------------------------------------------
# REDIS_PASSWORD=
# REDIS_PORT=6379
# ---------------------------------------------------------------------------
# Redis
# ---------------------------------------------------------------------------
# Redis password (leave empty for no authentication)
REDIS_PASSWORD=
# -- Authentication ------------------------------------------------------------
# TURNSTONE_AUTH_ENABLED=true
# TURNSTONE_AUTH_TOKEN=your-secret-token
# TURNSTONE_JWT_SECRET=python -c "import secrets; print(secrets.token_hex(32))"
# Host port for Redis
REDIS_PORT=6379
# ---------------------------------------------------------------------------
# Server
# ---------------------------------------------------------------------------
# Host port for the turnstone web UI
SERVER_PORT=8080
# Set to any non-empty value to auto-approve all tool calls
SKIP_PERMISSIONS=
# ---------------------------------------------------------------------------
# Bridge
# ---------------------------------------------------------------------------
# Heartbeat TTL in seconds
HEARTBEAT_TTL=60
# Seconds to wait for external approval responses
APPROVAL_TIMEOUT=300
# ---------------------------------------------------------------------------
# Console (Cluster Dashboard)
# ---------------------------------------------------------------------------
# Host port for the cluster dashboard
CONSOLE_PORT=8090
# Seconds between node polling cycles
CONSOLE_POLL_INTERVAL=10
# ---------------------------------------------------------------------------
# Auth (optional)
# ---------------------------------------------------------------------------
# Set to "1" to require Bearer token authentication
TURNSTONE_AUTH_ENABLED=
# Bearer token for server/bridge/console authentication
TURNSTONE_AUTH_TOKEN=
# ---------------------------------------------------------------------------
# Simulator (used with: docker compose --profile sim up)
# ---------------------------------------------------------------------------
# Number of simulated nodes
SIM_NODES=100
# Scenario: steady, burst, node_failure, directed, lifecycle
SIM_SCENARIO=steady
# Scenario duration in seconds
SIM_DURATION=60
# Messages per second (steady scenario)
SIM_MPS=5.0
# Log level
SIM_LOG_LEVEL=INFO
# Random seed for reproducibility (leave empty for random)
SIM_SEED=
# Path to write JSON metrics report (leave empty to skip)
SIM_METRICS_FILE=
# -- Ports ---------------------------------------------------------------------
# SERVER_PORT=8080
# CONSOLE_PORT=8090
+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: ${{ contains(github.ref, '-') }}
+2
View File
@@ -17,3 +17,5 @@ venv/
.plan.md
.plan-*.md
.hypothesis/
PROGRESS.md
.coverage
+11 -2
View File
@@ -25,22 +25,31 @@ FROM python:3.13-slim
LABEL org.opencontainers.image.title="turnstone" \
org.opencontainers.image.description="Multi-node AI orchestration platform"
# System dependencies for psycopg (PostgreSQL client library)
RUN apt-get update && apt-get install -y --no-install-recommends libpq5 \
&& rm -rf /var/lib/apt/lists/*
# Non-root user
RUN useradd --create-home --shell /bin/bash turnstone
# Install the wheel with all optional extras (redis for mq/console/sim)
# Install the wheel with all optional extras
COPY --from=builder /build/wheels/*.whl /tmp/wheels/
RUN pip install --no-cache-dir "$(ls /tmp/wheels/*.whl)[mq,console,sim]" \
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)
COPY docker/healthcheck.py /usr/local/bin/healthcheck.py
# Entrypoint script — runs migrations before starting
COPY docker/entrypoint.sh /usr/local/bin/entrypoint.sh
# Data directory — SQLite DB is created in CWD
WORKDIR /data
RUN chown turnstone:turnstone /data
USER turnstone
ENTRYPOINT ["entrypoint.sh"]
# Default command (overridden per service in compose.yaml)
CMD ["turnstone-server", "--host", "0.0.0.0", "--port", "8080"]
+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
+114 -83
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, workstreams, and resource utilization
- **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
@@ -72,13 +72,20 @@ pip install turnstone[console]
turnstone-console --redis-host localhost --port 8090
```
Then open `http://localhost:8090` for the cluster-wide dashboard.
Then open `http://localhost:8090` for the cluster-wide dashboard. Create workstreams from the console and interact with any node's server UI through the built-in reverse proxy — no direct server port access required.
### Docker
```bash
cp .env.example .env # edit LLM_BASE_URL, OPENAI_API_KEY, etc.
docker compose up # starts redis + server + bridge + console
docker compose up # starts redis + server + bridge + console (SQLite)
```
For production with PostgreSQL:
```bash
# Requires POSTGRES_PASSWORD and DB_BACKEND=postgresql in .env (or exported)
docker compose --profile production up # adds PostgreSQL, uses it as database
```
Console dashboard at http://localhost:8090. See [docs/docker.md](docs/docker.md) for configuration, scaling, and profiles.
@@ -100,62 +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.) and auto-detect the model.
## Architecture
```
turnstone/
├── core/ # UI-agnostic engine
│ ├── session.py # ChatSession — multi-turn loop, tool dispatch, agents
│ ├── 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 # SQLite persistence (memories, conversations, FTS5)
│ ├── 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 HTTP 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 (HTTP + SSE)
└── eval.py # Evaluation and prompt optimization harness
docs/
├── architecture.md # System architecture and threading model
├── api-reference.md # Web server API and SSE event reference
├── 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
```
### Architecture Diagrams
### Diagrams
Detailed UML diagrams are available in [`docs/diagrams/`](docs/diagrams/):
@@ -163,8 +117,8 @@ Detailed UML diagrams are available in [`docs/diagrams/`](docs/diagrams/):
|---------|-------------|
| [System Context](docs/diagrams/png/01-system-context.png) | Top-level components and external dependencies |
| [Package Structure](docs/diagrams/png/02-package-structure.png) | Python modules and dependency graph |
| [Core Engine Classes](docs/diagrams/png/03-core-engine-classes.png) | SessionUI protocol, ChatSession, WorkstreamManager |
| [Conversation Turn](docs/diagrams/png/04-conversation-turn.png) | Full message lifecycle through the engine |
| [Core Engine Classes](docs/diagrams/png/03-core-engine-classes.png) | SessionUI protocol, ChatSession, LLMProvider, WorkstreamManager |
| [Conversation Turn](docs/diagrams/png/04-conversation-turn.png) | Full message lifecycle through the engine (provider-agnostic) |
| [Tool Pipeline](docs/diagrams/png/05-tool-pipeline.png) | Three-phase prepare/approve/execute |
| [MQ Protocol](docs/diagrams/png/06-mq-protocol.png) | 9 inbound + 19 outbound message types |
| [Message Routing](docs/diagrams/png/07-message-routing.png) | Multi-node routing scenarios |
@@ -173,6 +127,48 @@ Detailed UML diagrams are available in [`docs/diagrams/`](docs/diagrams/):
| [Simulator](docs/diagrams/png/10-simulator-architecture.png) | SimCluster, dispatchers, scenarios |
| [Console Data Flow](docs/diagrams/png/11-console-data-flow.png) | Dashboard data collection threads |
| [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
@@ -197,29 +193,32 @@ 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 |
| `math` | Sandboxed Python evaluation | |
| `man` | Read man pages | yes |
| `web_fetch` | Fetch URL content | |
| `web_search` | Search via Tavily API | |
| `remember` | Save persistent facts | yes |
| `recall` | Search memories and history | yes |
| `forget` | Remove a memory | yes |
| `web_search` | Web search (provider-native or Tavily) | |
| `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`:
@@ -239,30 +238,39 @@ 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 Support
### Multi-Model and Multi-Provider Support
Turnstone supports multiple model backends per server instance. Define named models in `config.toml` and select per-workstream or switch mid-session with `/model <alias>`.
Turnstone supports multiple model backends per server instance, including different LLM providers. `ChatSession` delegates all API communication to pluggable `LLMProvider` adapters — the internal message format stays OpenAI-like, and each provider translates at the API boundary. Define named models in `config.toml` and select per-workstream or switch mid-session with `/model <alias>`.
```toml
[models.local]
base_url = "http://localhost:8000/v1"
model = "qwen3-32b"
# provider defaults to "openai" (works with vLLM, llama.cpp, etc.)
[models.claude]
provider = "anthropic"
api_key = "sk-ant-..."
model = "claude-opus-4-6"
context_window = 200000
[models.openai]
base_url = "https://api.openai.com/v1"
api_key = "sk-..."
model = "gpt-4o"
context_window = 128000
model = "gpt-5"
context_window = 400000
[model]
default = "local" # which model to use by default
fallback = ["openai"] # try these if the primary is unreachable
agent_model = "local" # optional: cheaper model for plan/task sub-agents
fallback = ["claude", "openai"] # try these if the primary is unreachable
agent_model = "claude" # optional: separate model for plan/task sub-agents
```
Use `/model` to show available models, `/model openai` to switch. Workstreams created via the API accept an optional `model` parameter.
Supported providers: `"openai"` (default -- OpenAI, vLLM, llama.cpp, any OpenAI-compatible API) and `"anthropic"` (Anthropic Messages API, requires `pip install turnstone[anthropic]`).
Use `/model` to show available models, `/model claude` to switch. Workstreams created via the API accept an optional `model` parameter.
## Configuration
@@ -272,7 +280,7 @@ All entry points read `~/.config/turnstone/config.toml`. CLI flags override conf
[api]
base_url = "http://localhost:8000/v1"
api_key = ""
tavily_key = ""
tavily_key = "" # only needed for local/vLLM models without native search
[model]
name = "" # empty = auto-detect
@@ -285,6 +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"
@@ -317,8 +328,22 @@ enabled = true
requests_per_second = 10.0
burst = 20
[database]
backend = "sqlite" # "sqlite" (default) or "postgresql"
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"
@@ -357,6 +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).
@@ -373,8 +401,11 @@ Per-workstream metrics are labeled by `ws_id` (bounded to 10 max workstreams).
## Requirements
- Python 3.11+
- An OpenAI-compatible API endpoint ([vLLM](https://github.com/vllm-project/vllm), [NVIDIA NIM](https://build.nvidia.com/), [llama.cpp](https://github.com/ggml-org/llama.cpp), etc.)
- An OpenAI-compatible API endpoint ([vLLM](https://github.com/vllm-project/vllm), [NVIDIA NIM](https://build.nvidia.com/), [llama.cpp](https://github.com/ggml-org/llama.cpp), etc.) or an Anthropic API key
- 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
+354 -5
View File
@@ -2,10 +2,12 @@
# Turnstone Docker Compose Stack
#
# Usage:
# Full stack: docker compose up
# With simulator: docker compose --profile sim up
# Sim only: docker compose --profile sim up redis console sim
# Scale bridges: docker compose up --scale bridge=3
# Infra only: docker compose up
# Single node: docker compose --profile production up
# Production (PG): DB_BACKEND=postgresql docker compose --profile production up
# 10-node cluster: docker compose --profile cluster up
# Cluster + DDG: docker compose --profile ddgCluster up
# With simulator: docker compose --profile sim up
# =============================================================================
name: turnstone
@@ -17,8 +19,39 @@ networks:
volumes:
redis-data:
turnstone-data:
postgres-data:
services:
# -------------------------------------------------------------------
# PostgreSQL — production database (profile: production)
# -------------------------------------------------------------------
postgres:
image: postgres:17-alpine
profiles:
- production
- cluster
- ddgCluster
environment:
POSTGRES_DB: turnstone
POSTGRES_USER: ${POSTGRES_USER:-turnstone}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?POSTGRES_PASSWORD is required for production profile}
volumes:
- postgres-data:/var/lib/postgresql/data
networks:
- turnstone-net
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-turnstone}"]
interval: 5s
timeout: 3s
retries: 5
start_period: 5s
deploy:
resources:
limits:
memory: 512M
cpus: '1.0'
restart: unless-stopped
# -------------------------------------------------------------------
# Redis — message broker, pub/sub, node registry
# -------------------------------------------------------------------
@@ -57,6 +90,8 @@ services:
build:
context: .
dockerfile: Dockerfile
profiles:
- production
command:
- sh
- -c
@@ -66,11 +101,14 @@ services:
--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}
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}
@@ -78,6 +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:
@@ -85,6 +129,12 @@ services:
depends_on:
redis:
condition: service_healthy
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
@@ -101,16 +151,19 @@ services:
build:
context: .
dockerfile: Dockerfile
profiles:
- production
command:
- turnstone-bridge
- --server-url=http://server:8080
- --redis-host=redis
- --redis-port=6379
- --heartbeat-ttl=${HEARTBEAT_TTL:-60}
- --approval-timeout=${APPROVAL_TIMEOUT:-300}
- --approval-timeout=${APPROVAL_TIMEOUT:-3600}
environment:
- REDIS_PASSWORD=${REDIS_PASSWORD:-}
- TURNSTONE_AUTH_TOKEN=${TURNSTONE_AUTH_TOKEN:-}
- TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:-}
networks:
- turnstone-net
depends_on:
@@ -140,6 +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:
@@ -153,6 +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
@@ -192,3 +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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@keyframes pulse-blue { 0%,100% { opacity:0.3 } 50% { opacity:1 } }
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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>
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Before

Width:  |  Height:  |  Size: 11 KiB

+16
View File
@@ -0,0 +1,16 @@
apiVersion: v2
name: turnstone
description: Multi-node AI orchestration platform with tool use, agent routing, and cluster simulation
type: application
version: 0.1.0
appVersion: "0.3.0"
dependencies:
- name: postgresql
version: ~16.0
repository: https://charts.bitnami.com/bitnami
condition: postgresql.enabled
- name: redis
version: ~20.0
repository: https://charts.bitnami.com/bitnami
condition: redis.enabled
+42
View File
@@ -0,0 +1,42 @@
Turnstone {{ .Chart.AppVersion }} has been deployed.
{{- if .Values.ingress.enabled }}
Access the application via your ingress:
{{- range .Values.ingress.hosts }}
http{{ if $.Values.ingress.tls }}s{{ end }}://{{ .host }}
{{- end }}
{{- else }}
To access the Turnstone server, run:
kubectl port-forward svc/{{ include "turnstone.fullname" . }}-server {{ .Values.server.service.port }}:{{ .Values.server.service.port }}
Then open: http://localhost:{{ .Values.server.service.port }}
To access the Turnstone console (cluster dashboard), run:
kubectl port-forward svc/{{ include "turnstone.fullname" . }}-console {{ .Values.console.service.port }}:{{ .Values.console.service.port }}
Then open: http://localhost:{{ .Values.console.service.port }}
{{- end }}
Components deployed:
- Server: {{ include "turnstone.fullname" . }}-server ({{ .Values.server.replicas }} replica(s))
- Bridge: {{ include "turnstone.fullname" . }}-bridge ({{ .Values.bridge.replicas }} replica(s))
- Console: {{ include "turnstone.fullname" . }}-console ({{ .Values.console.replicas }} replica(s))
{{- if .Values.postgresql.enabled }}
- PostgreSQL (bitnami subchart)
{{- end }}
{{- if .Values.redis.enabled }}
- Redis (bitnami subchart)
{{- end }}
{{- if not .Values.llm.apiKey }}
{{- if not .Values.llm.existingSecret }}
WARNING: No LLM API key configured. Set llm.apiKey or llm.existingSecret in your values.
{{- end }}
{{- end }}
@@ -0,0 +1,163 @@
{{/*
Expand the name of the chart.
*/}}
{{- define "turnstone.name" -}}
{{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" }}
{{- end }}
{{/*
Create a default fully qualified app name.
We truncate at 63 chars because some Kubernetes name fields are limited to this
(by the DNS naming spec). If release name contains chart name it will be used
as a full name.
*/}}
{{- define "turnstone.fullname" -}}
{{- if .Values.fullnameOverride }}
{{- .Values.fullnameOverride | trunc 63 | trimSuffix "-" }}
{{- else }}
{{- $name := default .Chart.Name .Values.nameOverride }}
{{- if contains $name .Release.Name }}
{{- .Release.Name | trunc 63 | trimSuffix "-" }}
{{- else }}
{{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" }}
{{- end }}
{{- end }}
{{- end }}
{{/*
Create chart name and version as used by the chart label.
*/}}
{{- define "turnstone.chart" -}}
{{- printf "%s-%s" .Chart.Name .Chart.Version | replace "+" "_" | trunc 63 | trimSuffix "-" }}
{{- end }}
{{/*
Common labels.
*/}}
{{- define "turnstone.labels" -}}
helm.sh/chart: {{ include "turnstone.chart" . }}
{{ include "turnstone.selectorLabels" . }}
{{- if .Chart.AppVersion }}
app.kubernetes.io/version: {{ .Chart.AppVersion | quote }}
{{- end }}
app.kubernetes.io/managed-by: {{ .Release.Service }}
{{- end }}
{{/*
Selector labels.
*/}}
{{- define "turnstone.selectorLabels" -}}
app.kubernetes.io/name: {{ include "turnstone.name" . }}
app.kubernetes.io/instance: {{ .Release.Name }}
{{- end }}
{{/*
Create the name of the service account to use.
*/}}
{{- define "turnstone.serviceAccountName" -}}
{{- if .Values.serviceAccount }}
{{- if .Values.serviceAccount.name }}
{{- .Values.serviceAccount.name }}
{{- else }}
{{- include "turnstone.fullname" . }}
{{- end }}
{{- else }}
{{- include "turnstone.fullname" . }}
{{- end }}
{{- end }}
{{/*
Determine the PostgreSQL host.
*/}}
{{- define "turnstone.postgresql.host" -}}
{{- if .Values.postgresql.enabled }}
{{- printf "%s-postgresql" .Release.Name }}
{{- else }}
{{- .Values.database.external.host }}
{{- end }}
{{- end }}
{{/*
Determine the PostgreSQL port.
*/}}
{{- define "turnstone.postgresql.port" -}}
{{- if .Values.postgresql.enabled }}
{{- printf "5432" }}
{{- else }}
{{- .Values.database.external.port | toString }}
{{- end }}
{{- end }}
{{/*
Determine the PostgreSQL database name.
*/}}
{{- define "turnstone.postgresql.database" -}}
{{- if .Values.postgresql.enabled }}
{{- .Values.postgresql.auth.database }}
{{- else }}
{{- .Values.database.external.database }}
{{- end }}
{{- end }}
{{/*
Determine the PostgreSQL username.
*/}}
{{- define "turnstone.postgresql.username" -}}
{{- if .Values.postgresql.enabled }}
{{- .Values.postgresql.auth.username }}
{{- else }}
{{- .Values.database.external.username }}
{{- end }}
{{- end }}
{{/*
Determine the Redis host.
*/}}
{{- define "turnstone.redis.host" -}}
{{- if .Values.redis.enabled }}
{{- printf "%s-redis-master" .Release.Name }}
{{- else }}
{{- .Values.redis.external.host }}
{{- end }}
{{- end }}
{{/*
Determine the Redis port.
*/}}
{{- define "turnstone.redis.port" -}}
{{- if .Values.redis.enabled }}
{{- printf "6379" }}
{{- else }}
{{- .Values.redis.external.port | toString }}
{{- end }}
{{- end }}
{{/*
Determine the secret name for LLM API keys.
*/}}
{{- define "turnstone.llm.secretName" -}}
{{- if .Values.llm.existingSecret }}
{{- .Values.llm.existingSecret }}
{{- else }}
{{- printf "%s-secrets" (include "turnstone.fullname" .) }}
{{- end }}
{{- end }}
{{/*
Determine the secret name for auth tokens.
*/}}
{{- define "turnstone.auth.secretName" -}}
{{- if .Values.auth.existingSecret }}
{{- .Values.auth.existingSecret }}
{{- else }}
{{- printf "%s-secrets" (include "turnstone.fullname" .) }}
{{- end }}
{{- end }}
{{/*
Container image reference.
*/}}
{{- define "turnstone.image" -}}
{{- $tag := .Values.image.tag | default .Chart.AppVersion }}
{{- printf "%s:%s" .Values.image.repository $tag }}
{{- end }}
@@ -0,0 +1,23 @@
apiVersion: v1
kind: ConfigMap
metadata:
name: {{ include "turnstone.fullname" . }}-config
labels:
{{- include "turnstone.labels" . | nindent 4 }}
data:
TURNSTONE_DB_BACKEND: {{ .Values.database.backend | quote }}
TURNSTONE_DB_HOST: {{ include "turnstone.postgresql.host" . | quote }}
TURNSTONE_DB_PORT: {{ include "turnstone.postgresql.port" . | quote }}
TURNSTONE_DB_NAME: {{ include "turnstone.postgresql.database" . | quote }}
TURNSTONE_DB_USER: {{ include "turnstone.postgresql.username" . | quote }}
TURNSTONE_SERVER_HOST: "0.0.0.0"
TURNSTONE_SERVER_PORT: {{ .Values.server.service.port | quote }}
TURNSTONE_CONSOLE_HOST: "0.0.0.0"
TURNSTONE_CONSOLE_PORT: {{ .Values.console.service.port | quote }}
TURNSTONE_REDIS_HOST: {{ include "turnstone.redis.host" . | quote }}
TURNSTONE_REDIS_PORT: {{ include "turnstone.redis.port" . | quote }}
TURNSTONE_POLL_INTERVAL: "5"
{{- if .Values.llm.baseUrl }}
TURNSTONE_LLM_BASE_URL: {{ .Values.llm.baseUrl | quote }}
{{- end }}
TURNSTONE_LLM_PROVIDER: {{ .Values.llm.provider | quote }}
@@ -0,0 +1,45 @@
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ include "turnstone.fullname" . }}-bridge
labels:
{{- include "turnstone.labels" . | nindent 4 }}
app.kubernetes.io/component: bridge
spec:
replicas: {{ .Values.bridge.replicas }}
selector:
matchLabels:
{{- include "turnstone.selectorLabels" . | nindent 6 }}
app.kubernetes.io/component: bridge
template:
metadata:
labels:
{{- include "turnstone.selectorLabels" . | nindent 8 }}
app.kubernetes.io/component: bridge
spec:
serviceAccountName: {{ include "turnstone.serviceAccountName" . }}
containers:
- name: bridge
image: {{ include "turnstone.image" . }}
imagePullPolicy: {{ .Values.image.pullPolicy }}
command:
- turnstone-bridge
- --server-url={{ printf "http://%s-server:%s" (include "turnstone.fullname" .) (.Values.server.service.port | toString) }}
- --redis-host={{ include "turnstone.redis.host" . }}
- --redis-port={{ include "turnstone.redis.port" . }}
envFrom:
- configMapRef:
name: {{ include "turnstone.fullname" . }}-config
- secretRef:
name: {{ include "turnstone.llm.secretName" . }}
optional: true
{{- if and .Values.auth.enabled .Values.auth.existingSecret }}
env:
- name: TURNSTONE_AUTH_TOKEN
valueFrom:
secretKeyRef:
name: {{ .Values.auth.existingSecret }}
key: TURNSTONE_AUTH_TOKEN
{{- end }}
resources:
{{- toYaml .Values.bridge.resources | nindent 12 }}
@@ -0,0 +1,62 @@
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ include "turnstone.fullname" . }}-console
labels:
{{- include "turnstone.labels" . | nindent 4 }}
app.kubernetes.io/component: console
spec:
replicas: {{ .Values.console.replicas }}
selector:
matchLabels:
{{- include "turnstone.selectorLabels" . | nindent 6 }}
app.kubernetes.io/component: console
template:
metadata:
labels:
{{- include "turnstone.selectorLabels" . | nindent 8 }}
app.kubernetes.io/component: console
spec:
serviceAccountName: {{ include "turnstone.serviceAccountName" . }}
containers:
- name: console
image: {{ include "turnstone.image" . }}
imagePullPolicy: {{ .Values.image.pullPolicy }}
command:
- turnstone-console
- --host=0.0.0.0
- --port={{ .Values.console.service.port }}
- --redis-host={{ include "turnstone.redis.host" . }}
- --redis-port={{ include "turnstone.redis.port" . }}
ports:
- name: http
containerPort: {{ .Values.console.service.port }}
protocol: TCP
envFrom:
- configMapRef:
name: {{ include "turnstone.fullname" . }}-config
- secretRef:
name: {{ include "turnstone.llm.secretName" . }}
optional: true
{{- if and .Values.auth.enabled .Values.auth.existingSecret }}
env:
- name: TURNSTONE_AUTH_TOKEN
valueFrom:
secretKeyRef:
name: {{ .Values.auth.existingSecret }}
key: TURNSTONE_AUTH_TOKEN
{{- end }}
readinessProbe:
httpGet:
path: /health
port: http
initialDelaySeconds: 10
periodSeconds: 10
livenessProbe:
httpGet:
path: /health
port: http
initialDelaySeconds: 15
periodSeconds: 20
resources:
{{- toYaml .Values.console.resources | nindent 12 }}
@@ -0,0 +1,64 @@
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ include "turnstone.fullname" . }}-server
labels:
{{- include "turnstone.labels" . | nindent 4 }}
app.kubernetes.io/component: server
spec:
replicas: {{ .Values.server.replicas }}
selector:
matchLabels:
{{- include "turnstone.selectorLabels" . | nindent 6 }}
app.kubernetes.io/component: server
template:
metadata:
labels:
{{- include "turnstone.selectorLabels" . | nindent 8 }}
app.kubernetes.io/component: server
spec:
serviceAccountName: {{ include "turnstone.serviceAccountName" . }}
containers:
- name: server
image: {{ include "turnstone.image" . }}
imagePullPolicy: {{ .Values.image.pullPolicy }}
command:
- turnstone-server
- --host
- "0.0.0.0"
- --port
- {{ .Values.server.service.port | quote }}
ports:
- name: http
containerPort: {{ .Values.server.service.port }}
protocol: TCP
envFrom:
- configMapRef:
name: {{ include "turnstone.fullname" . }}-config
- secretRef:
name: {{ include "turnstone.llm.secretName" . }}
optional: true
env:
- name: TURNSTONE_DB_URL
value: "postgresql+psycopg://$(TURNSTONE_DB_USER):$(POSTGRES_PASSWORD)@$(TURNSTONE_DB_HOST):$(TURNSTONE_DB_PORT)/$(TURNSTONE_DB_NAME)"
{{- if and .Values.auth.enabled .Values.auth.existingSecret }}
- name: TURNSTONE_AUTH_TOKEN
valueFrom:
secretKeyRef:
name: {{ .Values.auth.existingSecret }}
key: TURNSTONE_AUTH_TOKEN
{{- end }}
readinessProbe:
httpGet:
path: /health
port: http
initialDelaySeconds: 10
periodSeconds: 10
livenessProbe:
httpGet:
path: /health
port: http
initialDelaySeconds: 15
periodSeconds: 20
resources:
{{- toYaml .Values.server.resources | nindent 12 }}
@@ -0,0 +1,47 @@
{{- if .Values.ingress.enabled -}}
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: {{ include "turnstone.fullname" . }}
labels:
{{- include "turnstone.labels" . | nindent 4 }}
{{- with .Values.ingress.annotations }}
annotations:
{{- toYaml . | nindent 4 }}
{{- end }}
spec:
{{- if .Values.ingress.className }}
ingressClassName: {{ .Values.ingress.className }}
{{- end }}
{{- if .Values.ingress.tls }}
tls:
{{- range .Values.ingress.tls }}
- hosts:
{{- range .hosts }}
- {{ . | quote }}
{{- end }}
secretName: {{ .secretName }}
{{- end }}
{{- end }}
rules:
{{- range .Values.ingress.hosts }}
- host: {{ .host | quote }}
http:
paths:
{{- range .paths }}
- path: {{ .path }}
pathType: {{ .pathType | default "Prefix" }}
backend:
service:
{{- if eq (.service | default "server") "console" }}
name: {{ include "turnstone.fullname" $ }}-console
port:
number: {{ $.Values.console.service.port }}
{{- else }}
name: {{ include "turnstone.fullname" $ }}-server
port:
number: {{ $.Values.server.service.port }}
{{- end }}
{{- end }}
{{- end }}
{{- end }}
@@ -0,0 +1,38 @@
apiVersion: batch/v1
kind: Job
metadata:
name: {{ include "turnstone.fullname" . }}-migrate
labels:
{{- include "turnstone.labels" . | nindent 4 }}
app.kubernetes.io/component: migrate
annotations:
"helm.sh/hook": pre-install,pre-upgrade
"helm.sh/hook-weight": "-1"
"helm.sh/hook-delete-policy": before-hook-creation,hook-succeeded
spec:
backoffLimit: 3
template:
metadata:
labels:
{{- include "turnstone.selectorLabels" . | nindent 8 }}
app.kubernetes.io/component: migrate
spec:
serviceAccountName: {{ include "turnstone.serviceAccountName" . }}
restartPolicy: OnFailure
containers:
- name: migrate
image: {{ include "turnstone.image" . }}
imagePullPolicy: {{ .Values.image.pullPolicy }}
command:
- python
- -m
- turnstone.core.storage._migrate
envFrom:
- configMapRef:
name: {{ include "turnstone.fullname" . }}-config
- secretRef:
name: {{ include "turnstone.llm.secretName" . }}
optional: true
env:
- name: TURNSTONE_DB_URL
value: "postgresql+psycopg://$(TURNSTONE_DB_USER):$(POSTGRES_PASSWORD)@$(TURNSTONE_DB_HOST):$(TURNSTONE_DB_PORT)/$(TURNSTONE_DB_NAME)"
@@ -0,0 +1,28 @@
{{- if not .Values.llm.existingSecret }}
apiVersion: v1
kind: Secret
metadata:
name: {{ include "turnstone.fullname" . }}-secrets
labels:
{{- include "turnstone.labels" . | nindent 4 }}
type: Opaque
data:
{{- if .Values.llm.apiKey }}
OPENAI_API_KEY: {{ .Values.llm.apiKey | b64enc | quote }}
{{- end }}
{{- if and .Values.postgresql.enabled .Values.postgresql.auth.password }}
POSTGRES_PASSWORD: {{ .Values.postgresql.auth.password | b64enc | quote }}
{{- else if and (not .Values.postgresql.enabled) .Values.database.external.password }}
POSTGRES_PASSWORD: {{ .Values.database.external.password | b64enc | quote }}
{{- end }}
{{- if and .Values.auth.enabled .Values.auth.token (not .Values.auth.existingSecret) }}
TURNSTONE_AUTH_TOKEN: {{ .Values.auth.token | b64enc | quote }}
{{- end }}
{{- if and .Values.redis.enabled .Values.redis.auth }}
{{- if .Values.redis.auth.password }}
REDIS_PASSWORD: {{ .Values.redis.auth.password | b64enc | quote }}
{{- end }}
{{- else if and (not .Values.redis.enabled) .Values.redis.external.password }}
REDIS_PASSWORD: {{ .Values.redis.external.password | b64enc | quote }}
{{- end }}
{{- end }}
@@ -0,0 +1,17 @@
apiVersion: v1
kind: Service
metadata:
name: {{ include "turnstone.fullname" . }}-console
labels:
{{- include "turnstone.labels" . | nindent 4 }}
app.kubernetes.io/component: console
spec:
type: {{ .Values.console.service.type }}
ports:
- port: {{ .Values.console.service.port }}
targetPort: http
protocol: TCP
name: http
selector:
{{- include "turnstone.selectorLabels" . | nindent 4 }}
app.kubernetes.io/component: console
@@ -0,0 +1,17 @@
apiVersion: v1
kind: Service
metadata:
name: {{ include "turnstone.fullname" . }}-server
labels:
{{- include "turnstone.labels" . | nindent 4 }}
app.kubernetes.io/component: server
spec:
type: {{ .Values.server.service.type }}
ports:
- port: {{ .Values.server.service.port }}
targetPort: http
protocol: TCP
name: http
selector:
{{- include "turnstone.selectorLabels" . | nindent 4 }}
app.kubernetes.io/component: server
@@ -0,0 +1,6 @@
apiVersion: v1
kind: ServiceAccount
metadata:
name: {{ include "turnstone.serviceAccountName" . }}
labels:
{{- include "turnstone.labels" . | nindent 4 }}
+103
View File
@@ -0,0 +1,103 @@
# -- Container image settings
image:
repository: ghcr.io/turnstonelabs/turnstone
tag: ""
pullPolicy: IfNotPresent
# -- Database configuration
database:
# Backend type (postgresql)
backend: postgresql
# External database settings (used when postgresql.enabled is false)
external:
host: ""
port: 5432
database: turnstone
username: turnstone
existingSecret: ""
sslmode: prefer
# -- Bitnami PostgreSQL subchart
postgresql:
enabled: true
auth:
database: turnstone
username: turnstone
# -- Redis configuration
redis:
enabled: true
architecture: standalone
# External Redis settings (used when redis.enabled is false)
external:
host: ""
port: 6379
existingSecret: ""
# -- Turnstone server (main API + web UI)
server:
replicas: 1
resources:
requests:
cpu: 500m
memory: 512Mi
limits:
cpu: "2"
memory: 1Gi
service:
type: ClusterIP
port: 8080
# -- Turnstone bridge (Redis MQ connector)
bridge:
replicas: 1
resources:
requests:
cpu: 250m
memory: 256Mi
limits:
cpu: "1"
memory: 512Mi
# -- Turnstone console (cluster dashboard)
console:
replicas: 1
resources:
requests:
cpu: 250m
memory: 256Mi
limits:
cpu: "1"
memory: 512Mi
service:
type: ClusterIP
port: 8090
# -- LLM provider configuration
llm:
baseUrl: ""
provider: openai
apiKey: ""
existingSecret: ""
# -- Authentication
auth:
enabled: false
token: ""
existingSecret: ""
# -- Ingress configuration
ingress:
enabled: false
className: ""
annotations: {}
hosts: []
# - host: turnstone.example.com
# paths:
# - path: /
# pathType: Prefix
# service: server
tls: []
# - secretName: turnstone-tls
# hosts:
# - turnstone.example.com
@@ -0,0 +1,36 @@
terraform {
required_version = ">= 1.5"
required_providers {
aws = {
source = "hashicorp/aws"
version = ">= 5.0"
}
}
}
provider "aws" {
region = var.aws_region
}
module "turnstone" {
source = "../../modules/aws-ecs"
vpc_id = var.vpc_id
private_subnet_ids = var.private_subnet_ids
public_subnet_ids = var.public_subnet_ids
image_repository = var.image_repository
image_tag = var.image_tag
llm_base_url = var.llm_base_url
openai_api_key = var.openai_api_key
environment = var.environment
name_prefix = var.name_prefix
auth_token = var.auth_token
tags = {
Example = "aws-ecs-basic"
}
}
@@ -0,0 +1,29 @@
output "alb_dns_name" {
description = "DNS name of the Application Load Balancer."
value = module.turnstone.alb_dns_name
}
output "server_url" {
description = "HTTP URL for the Turnstone server."
value = module.turnstone.server_url
}
output "console_url" {
description = "HTTP URL for the Turnstone console."
value = module.turnstone.console_url
}
output "cluster_arn" {
description = "ARN of the ECS cluster."
value = module.turnstone.cluster_arn
}
output "rds_endpoint" {
description = "RDS PostgreSQL endpoint."
value = module.turnstone.rds_endpoint
}
output "redis_endpoint" {
description = "ElastiCache Redis endpoint."
value = module.turnstone.redis_endpoint
}
@@ -0,0 +1,22 @@
# --- Required ---
# VPC and subnet IDs from your existing AWS infrastructure.
# The VPC must have DNS support and DNS hostnames enabled.
vpc_id = "vpc-0123456789abcdef0"
private_subnet_ids = ["subnet-aaa111", "subnet-bbb222"]
public_subnet_ids = ["subnet-ccc333", "subnet-ddd444"]
# LLM provider configuration.
# For OpenAI: https://api.openai.com/v1
# For a self-hosted vLLM instance: http://your-vllm-host:8000/v1
llm_base_url = "https://api.openai.com/v1"
openai_api_key = "sk-..."
# --- Optional ---
# aws_region = "us-east-1"
# image_repository = "ghcr.io/turnstonelabs/turnstone"
# image_tag = "0.3.0"
# environment = "production"
# name_prefix = "turnstone"
# auth_token = "my-secret-token"
@@ -0,0 +1,62 @@
variable "aws_region" {
description = "AWS region to deploy into."
type = string
default = "us-east-1"
}
variable "vpc_id" {
description = "ID of the VPC where all resources will be created."
type = string
}
variable "private_subnet_ids" {
description = "List of private subnet IDs for ECS tasks, RDS, and ElastiCache."
type = list(string)
}
variable "public_subnet_ids" {
description = "List of public subnet IDs for the Application Load Balancer."
type = list(string)
}
variable "image_repository" {
description = "Container image repository."
type = string
default = "ghcr.io/turnstonelabs/turnstone"
}
variable "image_tag" {
description = "Container image tag."
type = string
default = "latest"
}
variable "llm_base_url" {
description = "Base URL for the LLM provider API."
type = string
}
variable "openai_api_key" {
description = "API key for the LLM provider."
type = string
sensitive = true
}
variable "environment" {
description = "Deployment environment name."
type = string
default = "production"
}
variable "name_prefix" {
description = "Prefix for all resource names."
type = string
default = "turnstone"
}
variable "auth_token" {
description = "Optional authentication token for the Turnstone API."
type = string
sensitive = true
default = ""
}
+150
View File
@@ -0,0 +1,150 @@
# ---------- Application Load Balancer ----------
#
# HTTP listeners are provided as a starter baseline. For production, set
# var.certificate_arn to an ACM certificate ARN to enable HTTPS listeners
# that redirect HTTP traffic to TLS.
resource "aws_lb" "this" {
name = "${var.name_prefix}-${var.environment}"
internal = false
load_balancer_type = "application"
security_groups = [aws_security_group.alb.id]
subnets = var.public_subnet_ids
tags = local.common_tags
}
# ---------- Server Target Group + Listeners ----------
resource "aws_lb_target_group" "server" {
name = "${var.name_prefix}-server-${var.environment}"
port = 8080
protocol = "HTTP"
vpc_id = var.vpc_id
target_type = "ip"
tags = local.common_tags
health_check {
path = "/health"
port = "traffic-port"
protocol = "HTTP"
healthy_threshold = 2
unhealthy_threshold = 3
timeout = 5
interval = 30
matcher = "200"
}
}
# HTTP listener: forwards directly when no certificate, redirects to HTTPS otherwise.
resource "aws_lb_listener" "server" {
count = var.certificate_arn == "" ? 1 : 0
load_balancer_arn = aws_lb.this.arn
port = 80
protocol = "HTTP"
tags = local.common_tags
default_action {
type = "forward"
target_group_arn = aws_lb_target_group.server.arn
}
}
resource "aws_lb_listener" "server_http_redirect" {
count = var.certificate_arn != "" ? 1 : 0
load_balancer_arn = aws_lb.this.arn
port = 80
protocol = "HTTP"
tags = local.common_tags
default_action {
type = "redirect"
redirect {
port = "443"
protocol = "HTTPS"
status_code = "HTTP_301"
}
}
}
resource "aws_lb_listener" "server_https" {
count = var.certificate_arn != "" ? 1 : 0
load_balancer_arn = aws_lb.this.arn
port = 443
protocol = "HTTPS"
ssl_policy = "ELBSecurityPolicy-TLS13-1-2-2021-06"
certificate_arn = var.certificate_arn
tags = local.common_tags
default_action {
type = "forward"
target_group_arn = aws_lb_target_group.server.arn
}
}
# ---------- Console Target Group + Listeners ----------
resource "aws_lb_target_group" "console" {
name = "${var.name_prefix}-console-${var.environment}"
port = 8090
protocol = "HTTP"
vpc_id = var.vpc_id
target_type = "ip"
tags = local.common_tags
health_check {
path = "/health"
port = "traffic-port"
protocol = "HTTP"
healthy_threshold = 2
unhealthy_threshold = 3
timeout = 5
interval = 30
matcher = "200"
}
}
# HTTP listener: forwards directly when no certificate, redirects to HTTPS otherwise.
resource "aws_lb_listener" "console" {
count = var.certificate_arn == "" ? 1 : 0
load_balancer_arn = aws_lb.this.arn
port = 8090
protocol = "HTTP"
tags = local.common_tags
default_action {
type = "forward"
target_group_arn = aws_lb_target_group.console.arn
}
}
resource "aws_lb_listener" "console_http_redirect" {
count = var.certificate_arn != "" ? 1 : 0
load_balancer_arn = aws_lb.this.arn
port = 8090
protocol = "HTTP"
tags = local.common_tags
default_action {
type = "redirect"
redirect {
port = "8443"
protocol = "HTTPS"
status_code = "HTTP_301"
}
}
}
resource "aws_lb_listener" "console_https" {
count = var.certificate_arn != "" ? 1 : 0
load_balancer_arn = aws_lb.this.arn
port = 8443
protocol = "HTTPS"
ssl_policy = "ELBSecurityPolicy-TLS13-1-2-2021-06"
certificate_arn = var.certificate_arn
tags = local.common_tags
default_action {
type = "forward"
target_group_arn = aws_lb_target_group.console.arn
}
}
@@ -0,0 +1,30 @@
# ---------- ElastiCache Subnet Group ----------
resource "aws_elasticache_subnet_group" "this" {
name = "${var.name_prefix}-${var.environment}"
subnet_ids = var.private_subnet_ids
tags = local.common_tags
}
# ---------- ElastiCache Redis Replication Group ----------
resource "aws_elasticache_replication_group" "this" {
replication_group_id = "${var.name_prefix}-${var.environment}"
description = "Turnstone Redis for MQ and session state"
engine = "redis"
engine_version = "7.1"
node_type = var.redis_node_type
num_cache_clusters = 1
port = 6379
subnet_group_name = aws_elasticache_subnet_group.this.name
security_group_ids = [aws_security_group.redis.id]
at_rest_encryption_enabled = true
transit_encryption_enabled = true
automatic_failover_enabled = false
tags = local.common_tags
}
+70
View File
@@ -0,0 +1,70 @@
# ---------- ECS Task Execution Role ----------
# Used by the ECS agent to pull images and retrieve secrets.
resource "aws_iam_role" "ecs_execution" {
name = "${var.name_prefix}-ecs-execution-${var.environment}"
tags = local.common_tags
assume_role_policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Effect = "Allow"
Principal = {
Service = "ecs-tasks.amazonaws.com"
}
Action = "sts:AssumeRole"
},
]
})
}
resource "aws_iam_role_policy_attachment" "ecs_execution_base" {
role = aws_iam_role.ecs_execution.name
policy_arn = "arn:aws:iam::aws:policy/service-role/AmazonECSTaskExecutionRolePolicy"
}
resource "aws_iam_role_policy" "ecs_execution_secrets" {
name = "${var.name_prefix}-secrets-read-${var.environment}"
role = aws_iam_role.ecs_execution.id
policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Effect = "Allow"
Action = [
"secretsmanager:GetSecretValue",
]
Resource = concat(
[
aws_secretsmanager_secret.openai_api_key.arn,
aws_secretsmanager_secret.db_password.arn,
],
var.auth_token != "" ? [aws_secretsmanager_secret.auth_token[0].arn] : [],
)
},
]
})
}
# ---------- ECS Task Role ----------
# Assumed by the running container. Minimal permissions; extend as needed.
resource "aws_iam_role" "ecs_task" {
name = "${var.name_prefix}-ecs-task-${var.environment}"
tags = local.common_tags
assume_role_policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Effect = "Allow"
Principal = {
Service = "ecs-tasks.amazonaws.com"
}
Action = "sts:AssumeRole"
},
]
})
}
+313
View File
@@ -0,0 +1,313 @@
terraform {
required_version = ">= 1.5"
required_providers {
aws = {
source = "hashicorp/aws"
version = ">= 5.0"
}
random = {
source = "hashicorp/random"
version = ">= 3.5"
}
}
}
locals {
full_image = "${var.image_repository}:${var.image_tag}"
common_tags = merge(var.tags, {
Project = "turnstone"
Environment = var.environment
ManagedBy = "terraform"
})
# Shared environment variables injected into every container.
common_env = [
{ name = "TURNSTONE_ENV", value = var.environment },
{ name = "TURNSTONE_DB_BACKEND", value = "postgresql" },
{ name = "TURNSTONE_LLM_BASE_URL", value = var.llm_base_url },
{ name = "TURNSTONE_REDIS_URL", value = "redis://${aws_elasticache_replication_group.this.primary_endpoint_address}:6379/0" },
]
# Secrets pulled from Secrets Manager at container start.
common_secrets = [
{
name = "OPENAI_API_KEY"
valueFrom = aws_secretsmanager_secret_version.openai_api_key.arn
},
{
name = "TURNSTONE_DB_URL"
valueFrom = aws_secretsmanager_secret_version.db_url.arn
},
]
auth_env = var.auth_token != "" ? [
{ name = "TURNSTONE_AUTH_ENABLED", value = "true" },
] : []
auth_secrets = var.auth_token != "" ? [
{
name = "TURNSTONE_AUTH_TOKEN"
valueFrom = aws_secretsmanager_secret_version.auth_token[0].arn
},
] : []
}
# ---------- Secrets Manager ----------
resource "aws_secretsmanager_secret" "openai_api_key" {
name = "${var.name_prefix}-${var.environment}-openai-api-key"
tags = local.common_tags
}
resource "aws_secretsmanager_secret_version" "openai_api_key" {
secret_id = aws_secretsmanager_secret.openai_api_key.id
secret_string = var.openai_api_key
}
resource "aws_secretsmanager_secret" "auth_token" {
count = var.auth_token != "" ? 1 : 0
name = "${var.name_prefix}-${var.environment}-auth-token"
tags = local.common_tags
}
resource "aws_secretsmanager_secret_version" "auth_token" {
count = var.auth_token != "" ? 1 : 0
secret_id = aws_secretsmanager_secret.auth_token[0].id
secret_string = var.auth_token
}
resource "aws_secretsmanager_secret" "db_password" {
name = "${var.name_prefix}-${var.environment}-db-password"
tags = local.common_tags
}
resource "aws_secretsmanager_secret_version" "db_password" {
secret_id = aws_secretsmanager_secret.db_password.id
secret_string = random_password.db.result
}
resource "aws_secretsmanager_secret" "db_url" {
name = "${var.name_prefix}-${var.environment}-db-url"
tags = local.common_tags
}
resource "aws_secretsmanager_secret_version" "db_url" {
secret_id = aws_secretsmanager_secret.db_url.id
secret_string = "postgresql+psycopg://${aws_db_instance.this.username}:${random_password.db.result}@${aws_db_instance.this.endpoint}/turnstone"
}
# ---------- ECS Cluster ----------
resource "aws_ecs_cluster" "this" {
name = "${var.name_prefix}-${var.environment}"
tags = local.common_tags
setting {
name = "containerInsights"
value = "enabled"
}
}
# ---------- CloudWatch Log Group ----------
resource "aws_cloudwatch_log_group" "this" {
name = "/ecs/${var.name_prefix}-${var.environment}"
retention_in_days = 30
tags = local.common_tags
}
# ---------- Server Task Definition + Service ----------
resource "aws_ecs_task_definition" "server" {
family = "${var.name_prefix}-server"
requires_compatibilities = ["FARGATE"]
network_mode = "awsvpc"
cpu = var.server_cpu
memory = var.server_memory
execution_role_arn = aws_iam_role.ecs_execution.arn
task_role_arn = aws_iam_role.ecs_task.arn
tags = local.common_tags
container_definitions = jsonencode([
{
name = "server"
image = local.full_image
essential = true
command = ["turnstone-server", "--host", "0.0.0.0", "--port", "8080"]
portMappings = [
{ containerPort = 8080, protocol = "tcp" },
]
environment = concat(local.common_env, local.auth_env)
secrets = concat(local.common_secrets, local.auth_secrets)
logConfiguration = {
logDriver = "awslogs"
options = {
"awslogs-group" = aws_cloudwatch_log_group.this.name
"awslogs-region" = data.aws_region.current.name
"awslogs-stream-prefix" = "server"
}
}
healthCheck = {
command = ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
interval = 30
timeout = 5
retries = 3
startPeriod = 10
}
},
])
}
resource "aws_ecs_service" "server" {
name = "${var.name_prefix}-server"
cluster = aws_ecs_cluster.this.id
task_definition = aws_ecs_task_definition.server.arn
desired_count = 1
launch_type = "FARGATE"
tags = local.common_tags
network_configuration {
subnets = var.private_subnet_ids
security_groups = [aws_security_group.ecs_tasks.id]
assign_public_ip = false
}
load_balancer {
target_group_arn = aws_lb_target_group.server.arn
container_name = "server"
container_port = 8080
}
depends_on = [aws_lb_target_group.server]
}
# ---------- Bridge Task Definition + Service ----------
resource "aws_ecs_task_definition" "bridge" {
family = "${var.name_prefix}-bridge"
requires_compatibilities = ["FARGATE"]
network_mode = "awsvpc"
cpu = var.bridge_cpu
memory = var.bridge_memory
execution_role_arn = aws_iam_role.ecs_execution.arn
task_role_arn = aws_iam_role.ecs_task.arn
tags = local.common_tags
container_definitions = jsonencode([
{
name = "bridge"
image = local.full_image
essential = true
command = ["turnstone-bridge"]
environment = concat(local.common_env, local.auth_env)
secrets = concat(local.common_secrets, local.auth_secrets)
logConfiguration = {
logDriver = "awslogs"
options = {
"awslogs-group" = aws_cloudwatch_log_group.this.name
"awslogs-region" = data.aws_region.current.name
"awslogs-stream-prefix" = "bridge"
}
}
},
])
}
resource "aws_ecs_service" "bridge" {
name = "${var.name_prefix}-bridge"
cluster = aws_ecs_cluster.this.id
task_definition = aws_ecs_task_definition.bridge.arn
desired_count = 1
launch_type = "FARGATE"
tags = local.common_tags
network_configuration {
subnets = var.private_subnet_ids
security_groups = [aws_security_group.ecs_tasks.id]
assign_public_ip = false
}
depends_on = [aws_ecs_service.server]
}
# ---------- Console Task Definition + Service ----------
resource "aws_ecs_task_definition" "console" {
family = "${var.name_prefix}-console"
requires_compatibilities = ["FARGATE"]
network_mode = "awsvpc"
cpu = var.console_cpu
memory = var.console_memory
execution_role_arn = aws_iam_role.ecs_execution.arn
task_role_arn = aws_iam_role.ecs_task.arn
tags = local.common_tags
container_definitions = jsonencode([
{
name = "console"
image = local.full_image
essential = true
command = ["turnstone-console", "--host", "0.0.0.0", "--port", "8090"]
portMappings = [
{ containerPort = 8090, protocol = "tcp" },
]
environment = concat(local.common_env, local.auth_env)
secrets = concat(local.common_secrets, local.auth_secrets)
logConfiguration = {
logDriver = "awslogs"
options = {
"awslogs-group" = aws_cloudwatch_log_group.this.name
"awslogs-region" = data.aws_region.current.name
"awslogs-stream-prefix" = "console"
}
}
healthCheck = {
command = ["CMD-SHELL", "curl -f http://localhost:8090/health || exit 1"]
interval = 30
timeout = 5
retries = 3
startPeriod = 10
}
},
])
}
resource "aws_ecs_service" "console" {
name = "${var.name_prefix}-console"
cluster = aws_ecs_cluster.this.id
task_definition = aws_ecs_task_definition.console.arn
desired_count = 1
launch_type = "FARGATE"
tags = local.common_tags
network_configuration {
subnets = var.private_subnet_ids
security_groups = [aws_security_group.ecs_tasks.id]
assign_public_ip = false
}
load_balancer {
target_group_arn = aws_lb_target_group.console.arn
container_name = "console"
container_port = 8090
}
depends_on = [aws_lb_target_group.console]
}
# ---------- Data Sources ----------
data "aws_region" "current" {}
data "aws_caller_identity" "current" {}
@@ -0,0 +1,29 @@
output "alb_dns_name" {
description = "DNS name of the Application Load Balancer."
value = aws_lb.this.dns_name
}
output "server_url" {
description = "HTTP URL for the Turnstone server API and web UI."
value = "http://${aws_lb.this.dns_name}"
}
output "console_url" {
description = "HTTP URL for the Turnstone console dashboard."
value = "http://${aws_lb.this.dns_name}:8090"
}
output "cluster_arn" {
description = "ARN of the ECS cluster."
value = aws_ecs_cluster.this.arn
}
output "rds_endpoint" {
description = "Endpoint of the RDS PostgreSQL instance (host:port)."
value = aws_db_instance.this.endpoint
}
output "redis_endpoint" {
description = "Primary endpoint of the ElastiCache Redis replication group."
value = aws_elasticache_replication_group.this.primary_endpoint_address
}
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# ---------- Random Password ----------
resource "random_password" "db" {
length = 32
special = false
}
# ---------- DB Subnet Group ----------
resource "aws_db_subnet_group" "this" {
name = "${var.name_prefix}-${var.environment}"
subnet_ids = var.private_subnet_ids
tags = local.common_tags
}
# ---------- RDS PostgreSQL ----------
resource "aws_db_instance" "this" {
identifier = "${var.name_prefix}-${var.environment}"
engine = "postgres"
engine_version = "17"
instance_class = var.db_instance_class
allocated_storage = 20
storage_type = "gp3"
storage_encrypted = true
deletion_protection = true
skip_final_snapshot = false
final_snapshot_identifier = "${var.name_prefix}-${var.environment}-final"
db_name = "turnstone"
username = "turnstone"
password = random_password.db.result
db_subnet_group_name = aws_db_subnet_group.this.name
vpc_security_group_ids = [aws_security_group.rds.id]
backup_retention_period = 7
multi_az = false
tags = local.common_tags
}
@@ -0,0 +1,133 @@
# ---------- ALB Security Group ----------
resource "aws_security_group" "alb" {
name = "${var.name_prefix}-alb-${var.environment}"
description = "Allow inbound HTTP to ALB for server and console"
vpc_id = var.vpc_id
tags = local.common_tags
}
resource "aws_vpc_security_group_ingress_rule" "alb_http" {
security_group_id = aws_security_group.alb.id
description = "HTTP traffic to server"
from_port = 80
to_port = 80
ip_protocol = "tcp"
cidr_ipv4 = "0.0.0.0/0"
tags = local.common_tags
}
resource "aws_vpc_security_group_ingress_rule" "alb_https" {
count = var.certificate_arn != "" ? 1 : 0
security_group_id = aws_security_group.alb.id
description = "HTTPS traffic to server"
from_port = 443
to_port = 443
ip_protocol = "tcp"
cidr_ipv4 = "0.0.0.0/0"
tags = local.common_tags
}
resource "aws_vpc_security_group_ingress_rule" "alb_console" {
security_group_id = aws_security_group.alb.id
description = "HTTP traffic to console"
from_port = 8090
to_port = 8090
ip_protocol = "tcp"
cidr_ipv4 = "0.0.0.0/0"
tags = local.common_tags
}
resource "aws_vpc_security_group_ingress_rule" "alb_console_https" {
count = var.certificate_arn != "" ? 1 : 0
security_group_id = aws_security_group.alb.id
description = "HTTPS traffic to console"
from_port = 8443
to_port = 8443
ip_protocol = "tcp"
cidr_ipv4 = "0.0.0.0/0"
tags = local.common_tags
}
resource "aws_vpc_security_group_egress_rule" "alb_all" {
security_group_id = aws_security_group.alb.id
description = "Allow all outbound"
ip_protocol = "-1"
cidr_ipv4 = "0.0.0.0/0"
tags = local.common_tags
}
# ---------- ECS Tasks Security Group ----------
resource "aws_security_group" "ecs_tasks" {
name = "${var.name_prefix}-ecs-tasks-${var.environment}"
description = "Allow traffic from ALB to ECS tasks and outbound internet"
vpc_id = var.vpc_id
tags = local.common_tags
}
resource "aws_vpc_security_group_ingress_rule" "ecs_from_alb_server" {
security_group_id = aws_security_group.ecs_tasks.id
description = "Server port from ALB"
from_port = 8080
to_port = 8080
ip_protocol = "tcp"
referenced_security_group_id = aws_security_group.alb.id
tags = local.common_tags
}
resource "aws_vpc_security_group_ingress_rule" "ecs_from_alb_console" {
security_group_id = aws_security_group.ecs_tasks.id
description = "Console port from ALB"
from_port = 8090
to_port = 8090
ip_protocol = "tcp"
referenced_security_group_id = aws_security_group.alb.id
tags = local.common_tags
}
resource "aws_vpc_security_group_egress_rule" "ecs_all" {
security_group_id = aws_security_group.ecs_tasks.id
description = "Allow all outbound (LLM APIs, ECR, Secrets Manager, etc.)"
ip_protocol = "-1"
cidr_ipv4 = "0.0.0.0/0"
tags = local.common_tags
}
# ---------- RDS Security Group ----------
resource "aws_security_group" "rds" {
name = "${var.name_prefix}-rds-${var.environment}"
description = "Allow PostgreSQL access from ECS tasks"
vpc_id = var.vpc_id
tags = local.common_tags
}
resource "aws_vpc_security_group_ingress_rule" "rds_from_ecs" {
security_group_id = aws_security_group.rds.id
description = "PostgreSQL from ECS tasks"
from_port = 5432
to_port = 5432
ip_protocol = "tcp"
referenced_security_group_id = aws_security_group.ecs_tasks.id
tags = local.common_tags
}
# ---------- Redis Security Group ----------
resource "aws_security_group" "redis" {
name = "${var.name_prefix}-redis-${var.environment}"
description = "Allow Redis access from ECS tasks"
vpc_id = var.vpc_id
tags = local.common_tags
}
resource "aws_vpc_security_group_ingress_rule" "redis_from_ecs" {
security_group_id = aws_security_group.redis.id
description = "Redis from ECS tasks"
from_port = 6379
to_port = 6379
ip_protocol = "tcp"
referenced_security_group_id = aws_security_group.ecs_tasks.id
tags = local.common_tags
}
@@ -0,0 +1,130 @@
# --- Networking ---
variable "vpc_id" {
description = "ID of the VPC where all resources will be created."
type = string
}
variable "private_subnet_ids" {
description = "List of private subnet IDs for ECS tasks, RDS, and ElastiCache."
type = list(string)
}
variable "public_subnet_ids" {
description = "List of public subnet IDs for the Application Load Balancer."
type = list(string)
}
# --- Container Image ---
variable "image_repository" {
description = "Container image repository."
type = string
default = "ghcr.io/turnstonelabs/turnstone"
}
variable "image_tag" {
description = "Container image tag."
type = string
default = "latest"
}
# --- LLM Provider ---
variable "llm_base_url" {
description = "Base URL for the LLM provider API (e.g. https://api.openai.com/v1)."
type = string
}
variable "openai_api_key" {
description = "API key for the LLM provider. Stored in AWS Secrets Manager."
type = string
sensitive = true
}
# --- RDS ---
variable "db_instance_class" {
description = "RDS instance class for PostgreSQL."
type = string
default = "db.t4g.micro"
}
# --- ElastiCache ---
variable "redis_node_type" {
description = "ElastiCache node type for Redis."
type = string
default = "cache.t4g.micro"
}
# --- ECS Task Sizing ---
variable "server_cpu" {
description = "CPU units for the server task (1 vCPU = 1024)."
type = number
default = 512
}
variable "server_memory" {
description = "Memory (MiB) for the server task."
type = number
default = 1024
}
variable "bridge_cpu" {
description = "CPU units for the bridge task."
type = number
default = 256
}
variable "bridge_memory" {
description = "Memory (MiB) for the bridge task."
type = number
default = 512
}
variable "console_cpu" {
description = "CPU units for the console task."
type = number
default = 256
}
variable "console_memory" {
description = "Memory (MiB) for the console task."
type = number
default = 512
}
# --- General ---
variable "environment" {
description = "Deployment environment name (e.g. production, staging)."
type = string
default = "production"
}
variable "name_prefix" {
description = "Prefix for all resource names."
type = string
default = "turnstone"
}
variable "auth_token" {
description = "Optional authentication token for the Turnstone API. Empty string disables auth."
type = string
sensitive = true
default = ""
}
variable "certificate_arn" {
description = "ACM certificate ARN for HTTPS listeners. Leave empty for HTTP-only (not recommended for production)."
type = string
default = ""
}
variable "tags" {
description = "Additional tags to apply to all resources."
type = map(string)
default = {}
}
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#!/bin/sh
# Run database migrations before starting the service
python -m turnstone.core.storage._migrate || true
# Execute the actual command
exec "$@"
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{
"mcpServers": {
"ddg": {
"url": "http://ddg-search:3000/mcp"
}
}
}
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# 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.
+472 -28
View File
@@ -1,28 +1,40 @@
# Cluster Dashboard (turnstone-console)
`turnstone-console` is a standalone monitoring service that provides cluster-wide visibility across all turnstone nodes. It connects to the shared Redis broker, discovers nodes via heartbeat keys, polls each node's HTTP API for workstream data, and subscribes to a cluster event channel for real-time state changes.
`turnstone-console` is a cluster management service that provides cluster-wide visibility and control across all turnstone nodes. It connects to the shared Redis broker, discovers nodes via heartbeat keys, polls each node's HTTP API for workstream data, and subscribes to a cluster event channel for real-time state changes.
The console is read-only — it observes but does not own workstreams or drive LLM sessions.
The console also supports **workstream creation** (dispatched via MQ to target nodes) and a **reverse proxy** that serves each node's server UI through the console port — so users only need network access to the console, not to individual server nodes.
## Architecture
> See also: [Console Data Flow diagram](diagrams/png/11-console-data-flow.png)
```
turnstone-server ── turnstone-bridge ──→ Redis ──→ turnstone-console ──→ Browser
(per node) (per node) (shared) (one instance)
┌── Redis ←── turnstone-bridge ── turnstone-server
│ (MQ) (per node) (per node)
turnstone-console ──────┤
(one instance) │
└── turnstone-server (direct HTTP proxy)
Browser
```
Each bridge publishes state changes to `{prefix}:events:cluster` on Redis pub/sub. The console subscribes once to that channel for real-time updates and periodically polls each node's `GET /api/dashboard` for full workstream snapshots.
Data flows in two directions:
- **Inbound (monitoring):** Bridges publish state changes to `{prefix}:events:cluster` on Redis pub/sub. The console subscribes for real-time updates and periodically polls each node's `GET /v1/api/dashboard` for full workstream snapshots.
- **Outbound (control):** The console pushes `CreateWorkstreamMessage` to Redis inbound queues targeting specific nodes. Bridges pick up these messages and create workstreams on their local servers.
- **Proxy (pass-through):** The console reverse-proxies each node's server UI at `/node/{node_id}/`, forwarding HTTP and SSE traffic so the browser never contacts server nodes directly.
### Data Sources
| Source | Method | Frequency | Data |
| Source | Method | Direction | Data |
|--------|--------|-----------|------|
| Redis heartbeats | `SCAN turnstone:node:*` | Every 15s | Node discovery (node_id, server_url, started) |
| Redis pub/sub | `SUBSCRIBE turnstone:events:cluster` | Real-time | State changes, creates, closes, renames |
| Node HTTP API | `GET {server_url}/api/dashboard` | Every 10s | Full workstream list with tokens, context, activity |
| Node HTTP API | `GET {server_url}/health` | Every 10s | Node health status |
| Redis heartbeats | `SCAN turnstone:node:*` | Read | Node discovery (node_id, server_url, started) |
| Redis pub/sub | `SUBSCRIBE turnstone:events:cluster` | Read | State changes, creates, closes, renames |
| Node HTTP API | `GET {server_url}/v1/api/dashboard` | Read | Full workstream list with tokens, context, activity |
| Node HTTP API | `GET {server_url}/health` | Read | Node health status |
| Redis inbound queue | `RPUSH turnstone:inbound:{node_id}` | Write | Workstream creation commands |
| Node HTTP API | `GET/POST {server_url}/*` | Proxy | Server UI, API requests, SSE streams |
### Redis Key: Cluster Event Channel
@@ -47,7 +59,9 @@ The collector (`turnstone/console/collector.py`) maintains an in-memory snapshot
2. **Node discovery** — scans heartbeat keys every 15 seconds via `broker.list_nodes()`. Adds newly discovered nodes, removes expired ones, emits `node_joined` / `node_lost` events to SSE listeners.
3. **Poll loop** — fetches `GET /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.
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
@@ -64,7 +78,7 @@ All reads and writes to the node/workstream map are protected by a single `threa
## HTTP API
### `GET /api/cluster/overview`
### `GET /v1/api/cluster/overview`
Cluster-wide state counts and aggregate metrics.
@@ -73,11 +87,15 @@ Cluster-wide state counts and aggregate metrics.
"nodes": 847,
"workstreams": 4219,
"states": {"running": 1847, "thinking": 312, "attention": 89, "idle": 1940, "error": 31},
"aggregate": {"total_tokens": 12400000, "total_tool_calls": 34200}
"aggregate": {"total_tokens": 12400000, "total_tool_calls": 34200},
"version_drift": true,
"versions": ["0.3.0", "0.3.1"]
}
```
### `GET /api/cluster/nodes?sort=activity&limit=100&offset=0`
`version_drift` is `true` when nodes report different versions. `versions` lists all unique version strings sorted alphabetically.
### `GET /v1/api/cluster/nodes?sort=activity&limit=100&offset=0`
Paginated node list. Sort options: `activity` (default, by running+attention count), `tokens`, `name`.
@@ -91,14 +109,15 @@ Paginated node list. Sort options: `activity` (default, by running+attention cou
"total_tokens": 48200,
"started": 1709294400.0,
"reachable": true,
"health": {}
"health": {"status": "ok", "version": "0.3.0"},
"version": "0.3.0"
}
],
"total": 847
}
```
### `GET /api/cluster/workstreams?state=running&node=db-west-04&search=perf&page=1&per_page=50`
### `GET /v1/api/cluster/workstreams?state=running&node=db-west-04&search=perf&page=1&per_page=50`
Filtered, paginated workstream list. All query parameters are optional. `per_page` is capped at 200.
@@ -115,7 +134,7 @@ Filtered, paginated workstream list. All query parameters are optional. `per_pag
}
```
### `GET /api/cluster/node/{node_id}`
### `GET /v1/api/cluster/node/{node_id}`
Single node detail with all its workstreams.
@@ -129,9 +148,75 @@ Single node detail with all its workstreams.
}
```
### `GET /api/cluster/events`
### `GET /v1/api/cluster/snapshot`
Server-Sent Events stream for real-time cluster updates.
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 `write` scope.
Request:
```json
{
"node_id": "db-west-04",
"name": "perf-analysis",
"model": "gpt-5"
}
```
All fields are optional:
- `node_id` — targeting mode:
- **omitted or `"auto"`** — console picks the reachable node with the most available capacity (max_ws - ws_total) and pushes to its directed queue.
- **`"pool"`** — pushes to the shared inbound queue; the next available bridge picks it up (true general-pool dispatch).
- **specific node ID** — pushes to that node's directed queue.
- `name` — workstream display name. Auto-generated if omitted.
- `model` — model alias from the target node's registry. Uses the node's default model if omitted.
Response:
```json
{
"status": "ok",
"correlation_id": "a1b2c3d4e5f6",
"target_node": "db-west-04"
}
```
Creation is asynchronous — the response confirms the MQ message was dispatched. A `ws_created` event on the cluster SSE stream confirms the workstream was actually created.
### `GET /v1/api/cluster/events`
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"}
@@ -146,32 +231,390 @@ Keepalive comments (`: keepalive\n\n`) are sent every 5 seconds. Clients should
### `GET /health`
```json
{"status": "ok", "service": "turnstone-console", "nodes": 847, "workstreams": 4219}
{
"status": "ok",
"service": "turnstone-console",
"nodes": 847,
"workstreams": 4219,
"version_drift": false,
"versions": ["0.3.0"]
}
```
### 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
The console reverse-proxies each node's server UI at `/node/{node_id}/`. This allows users to interact with any node's workstreams through the console port alone — individual server ports do not need to be exposed to the office network.
### Proxy Routes
| Route | Behavior |
|-------|----------|
| `GET /node/{node_id}/` | Fetches the server's `index.html`, rewrites static and shared asset paths, injects a console-return banner and an inline JS proxy shim |
| `GET /node/{node_id}/static/{path}` | Proxies page-specific static files |
| `GET /node/{node_id}/shared/{path}` | Proxies shared static files (`base.css`, `auth.js`, etc.) |
| `GET /node/{node_id}/v1/api/{path}` | Proxies GET API requests; detects SSE endpoints and streams them |
| `POST /node/{node_id}/v1/api/{path}` | Proxies POST API requests with body forwarding |
| `GET /node/{node_id}/{path}` | Proxies non-API endpoints (health, metrics) |
### URL Rewriting
The server UI uses root-relative URLs (`/v1/api/send`, `/static/app.js`, `/shared/base.css`, etc.). Since `<base>` tags cannot rewrite root-relative URLs, the console uses a JS shim approach:
1. **HTML rewriting** — when serving `index.html`, replaces `href=` and `src=` references to both `/static/` and `/shared/` with the proxy prefix (`/node/{node_id}/static/` and `/node/{node_id}/shared/` respectively).
2. **Inline JS shim** — injects an inline `<script>` block into the proxied HTML (after the console-return banner, before any external scripts) that overrides `window.fetch()` and `window.EventSource()` to prepend the proxy prefix to any root-relative URL. Running the shim inline ensures it executes before any external scripts load, so all API calls and SSE connections are intercepted transparently.
3. **Console-return banner** — injects a thin inline-styled `<div>` after `<body>` with a "← Console" link and the node ID, providing navigation back to the dashboard.
### SSE Proxy
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 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 three views, toggled client-side:
The web UI has five views, toggled client-side:
### 1. Cluster Overview (landing)
- **State cards** — 5 clickable cards (running, thinking, attention, idle, error) with count and colored top border. Clicking filters to that state.
- **Aggregate bar** — total tokens and tool calls across the cluster.
- **Node table** — columns: NODE, WS, RUN, ATTN, TOKENS, HEALTH. Sorted by activity. Clickable rows drill down to node detail.
- **Node table** — columns: NODE, WS, RUN, ATTN, TOKENS, VER, LOAD. Sorted by activity. Clickable rows drill down to node detail. Version column shows per-node version; hidden on mobile.
- **Version drift indicator** — when nodes report different versions, the status bar shows a yellow "DRIFT" warning with a tooltip listing all versions. Node groups show "mixed" with a yellow badge when their members disagree.
- **"+ new" button** — opens the workstream creation modal (see below).
### 2. Node Drill-down
Breadcrumb: `Cluster > db-west-04`. Shows the node's workstreams in a table matching the per-node dashboard layout (STATE, NAME, NODE, TASK, TOKENS, CTX) with activity sub-lines. Includes a link to the node's own dashboard (`http://{server_url}/`).
Breadcrumb: `Cluster > db-west-04`. Shows the node's workstreams in a table matching the per-node dashboard layout (STATE, NAME, MODEL, NODE, TASK, TOKENS, CTX) with activity sub-lines. Includes a link to the node's proxied server UI.
**Deep linking:** Clicking a workstream row opens the node's server UI in a new tab with `?ws_id=<id>`, which auto-selects that workstream. A `↗` indicator appears on hover to signal the external navigation. Rows without a `server_url` are non-interactive.
**Proxy deep-linking:** Clicking a workstream row opens the node's server UI in a new tab via the proxy at `/node/{node_id}/?ws_id=<id>`, which auto-selects that workstream. Users do not need direct network access to the server node.
### 3. Filtered Workstreams
Breadcrumb: `Cluster > Running` or `Cluster > db-west-04`. Server-side paginated workstream table. NODE column values are clickable to filter further. Pagination controls at bottom. Workstream rows are deep-linkable when `server_url` is available (injected by the collector from the parent node).
Breadcrumb: `Cluster > Running` or `Cluster > db-west-04`. Server-side paginated workstream table. NODE column values are clickable to filter further. Pagination controls at bottom. Workstream rows use proxy deep-links.
All three views receive live updates via SSE — state cards update counts, node rows update metrics, workstream rows update state indicators.
### 4. Workstream Creation Modal
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 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`.
---
@@ -201,6 +644,7 @@ CLI flags for `turnstone-console`:
| `--redis-password` | `$REDIS_PASSWORD` | Redis password |
| `--redis-db` | `0` | Redis DB |
| `--poll-interval` | `10` | Node polling interval (seconds) |
| `--auth-token` | `$TURNSTONE_AUTH_TOKEN` | Bearer token for server node communication and proxy |
| `--log-level` | `INFO` | Log level |
Config file (`~/.config/turnstone/config.toml`):
@@ -233,7 +677,7 @@ turnstone-server --port 8080
turnstone-bridge --server-url http://localhost:8080 --node-id node-a
# Start cluster console (one instance)
turnstone-console --redis-host localhost --port 8090
turnstone-console --redis-host localhost --port 8090 --auth-token "$TURNSTONE_AUTH_TOKEN"
```
Open `http://localhost:8090` for the cluster dashboard.
Open `http://localhost:8090` for the cluster dashboard. Create workstreams via the "+ new" button. Click any workstream to open the proxied server UI — no direct access to server ports required.
+11 -8
View File
@@ -9,7 +9,10 @@ actor "External Client\n(Python / CI)" as ext_client
actor "Eval Harness" as eval_user
' External Systems
cloud "LLM Provider\n(OpenAI-compatible API)" as llm
cloud "LLM Providers" as llm {
component [OpenAI-compatible API\n(OpenAI, vLLM, llama.cpp)] as llm_openai
component [Anthropic Messages API] as llm_anthropic
}
database "Redis" as redis
database "SQLite\n(.turnstone.db)" as sqlite
@@ -31,21 +34,21 @@ ext_client --> redis : Redis LIST\n(push commands)
eval_user --> eval : Python API
' Internal connections
cli --> llm : OpenAI Streaming API\n(HTTPS)
cli --> llm : LLM Provider API\n(via provider adapters)
cli --> sqlite : SQLite
server --> llm : OpenAI Streaming API\n(HTTPS)
server --> llm : LLM Provider API\n(via provider adapters)
server --> sqlite : SQLite
eval --> llm : OpenAI API\n(non-streaming)
eval --> llm : LLM Provider API\n(non-streaming)
eval --> sqlite : SQLite
bridge --> server : HTTP REST\n(POST /api/send, etc.)
bridge <-- server : SSE\n(GET /api/events)
bridge --> server : HTTP REST\n(POST /v1/api/send, etc.)
bridge <-- server : SSE\n(GET /v1/api/events)
bridge --> redis : Redis LIST + PUBSUB\n+ STRING (routing, heartbeats)
console --> redis : Redis PUBSUB + STRING\n(cluster channel, heartbeats)
console --> server : HTTP polling\n(GET /api/dashboard)
console --> redis : Redis PUBSUB + STRING + LIST\n(cluster events, heartbeats,\nworkstream creation commands)
console --> server : HTTP polling + reverse proxy\n(GET /v1/api/dashboard,\nproxy /node/{id}/* traffic)
sim --> redis : Redis LIST + PUBSUB\n+ STRING (heartbeats)
+47 -3
View File
@@ -11,6 +11,8 @@ skinparam component {
BackgroundColor<<console>> #B2EBF2
BackgroundColor<<ui>> #F0F4C3
BackgroundColor<<artifact>> #ECEFF1
BackgroundColor<<sdk>> #FFCDD2
BackgroundColor<<api>> #D1C4E9
}
' Entry points
@@ -24,9 +26,11 @@ package "Entry Points" <<Rectangle>> {
' Core engine
package "turnstone/core/" <<Rectangle>> {
component [session.py\nChatSession, SessionUI] as session <<core>>
component [providers/\nLLMProvider, OpenAI, Anthropic] as providers <<core>>
component [workstream.py\nWorkstreamManager] as workstream <<core>>
component [tools.py\nTool loader] as tools <<core>>
component [memory.py\nSQLite + FTS5] as memory <<core>>
component [memory.py\nPersistence facade] as memory <<core>>
component [storage/\nStorageBackend protocol\nSQLite + PostgreSQL] as storage <<core>>
component [metrics.py\nPrometheus metrics] as metrics <<core>>
component [config.py\nTOML config] as config <<core>>
component [safety.py\nPath validation] as safety <<core>>
@@ -36,7 +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>>
}
@@ -72,9 +77,26 @@ package "turnstone/ui/" <<Rectangle>> {
component [spinner.py\nTerminal spinner] as spinner <<ui>>
}
' API schemas
package "turnstone/api/" <<Rectangle>> {
component [schemas.py\nShared Pydantic models] as apischemas <<api>>
component [server_spec.py\nServer OpenAPI spec] as serverspec <<api>>
component [console_spec.py\nConsole OpenAPI spec] as consolespec <<api>>
component [openapi.py\nSpec builder] as openapi <<api>>
component [docs.py\nSwagger UI handler] as apidocs <<api>>
}
' SDK
package "turnstone/sdk/" <<Rectangle>> {
component [server.py\nTurnstoneServer (sync+async)] as sdkserver <<sdk>>
component [console.py\nTurnstoneConsole (sync+async)] as sdkconsole <<sdk>>
component [events.py\n27 SSE event types] as sdkevents <<sdk>>
component [_base.py\nhttpx client base] as sdkbase <<sdk>>
}
' 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
@@ -105,15 +127,19 @@ eval --> tools
chat --> session
' Core internal deps
session --> providers
session --> tools
session --> memory
memory --> storage
session --> safety
session --> sandbox
session --> edit
session --> web
session --> healthcheck
session --> mcp : optional
session --> toolsearch : optional
session --> registry : optional
registry --> providers
healthcheck --> metrics
mcp --> config
registry --> config
@@ -149,4 +175,22 @@ consoleserver --> config
consoleserver --> auth
collector --> broker
' API dependencies
serverspec --> openapi
consolespec --> openapi
serverspec --> apischemas
consolespec --> apischemas
server --> apidocs
server --> serverspec
consoleserver --> apidocs
consoleserver --> consolespec
' SDK dependencies
sdkserver --> sdkbase
sdkconsole --> sdkbase
sdkserver --> sdkevents
sdkconsole --> sdkevents
sdkserver --> apischemas : returns models
sdkconsole --> apischemas : returns models
@enduml
-3
View File
@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b3f76042c8046560502fa3132351821d56e8526b13d38d7be8b839fcf3d5f648
size 373463
+113 -8
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
@@ -52,6 +52,8 @@ class "WebUI" as WebUI {
Enqueues JSON events for SSE.
Blocks on threading.Event for
approval/plan review.
SSE handlers bridge Queue to
async via run_in_executor().
--
server.py
}
@@ -63,15 +65,64 @@ class "NullUI" as NullUI {
eval.py
}
' LLMProvider Protocol
interface "LLMProvider" as LLMProvider <<Protocol>> {
+ provider_name: str {property}
+ get_capabilities(model) → ModelCapabilities
+ create_streaming(client, model, messages, ...) → Iterator[StreamChunk]
+ create_completion(client, model, messages, ...) → CompletionResult
+ convert_tools(tools) → list[dict]
+ retryable_error_names: frozenset[str] {property}
--
core/providers/_protocol.py
}
class "OpenAIProvider" as OpenAIProv {
Model capability lookup table
(GPT-5.x, O-series, search)
Passthrough: messages already
in OpenAI format.
Search models: web_search_options
+ url_citation annotations.
--
core/providers/_openai.py
}
class "AnthropicProvider" as AnthropicProv {
Converts OpenAI messages to
Anthropic content blocks.
Adaptive + manual thinking.
Native web search via
web_search_20250305 server tool.
Lazy anthropic SDK import.
--
core/providers/_anthropic.py
}
' ModelCapabilities
class "ModelCapabilities" as ModelCaps <<frozen>> {
+ context_window: int
+ max_output_tokens: int
+ supports_temperature: bool
+ token_param: str
+ thinking_mode: str
+ supports_effort: bool
+ supports_web_search: bool
+ supports_tool_search: bool
+ supports_vision: bool
}
' ChatSession
class "ChatSession" as ChatSession {
- client: OpenAI
- client: Any
- provider: LLMProvider
- model: str
- 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]
@@ -82,7 +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)
@@ -91,6 +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]
@@ -153,39 +210,77 @@ 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]
- _clients: dict[str, OpenAI]
- _clients: dict[str, Any]
- _providers: dict[str, LLMProvider]
- _client_lock: Lock
+ default: str
+ fallback: list[str]
+ agent_model: str | None
--
+ resolve(alias) → (client, model, config)
+ get_client(alias) → OpenAI
+ get_client(alias) → Any
+ get_provider(alias) → LLMProvider
+ has_alias(alias) → bool
+ list_aliases() → list[str]
+ shutdown()
--
Thread-safe lazy client creation.
Loaded by load_model_registry()
Thread-safe lazy client + provider
creation. Loaded by load_model_registry()
from CLI args + [models.*] config.
--
core/model_registry.py
@@ -193,6 +288,7 @@ class "ModelRegistry" as ModelReg {
class "ModelConfig" as ModelCfg <<frozen>> {
+ alias: str
+ provider: str
+ base_url: str
+ model: str
+ context_window: int
@@ -260,8 +356,13 @@ TerminalUI <|-- WsTermUI
SessionUI <|.. WebUI
SessionUI <|.. NullUI
LLMProvider <|.. OpenAIProv
LLMProvider <|.. AnthropicProv
ChatSession --> SessionUI : uses
ChatSession --> LLMProvider : delegates LLM calls
ChatSession --> MCPMgr : optional
ChatSession --o ToolSearchMgr : _tool_search
ChatSession --> ModelReg : optional
ChatSession <|-- HeadlessSession
@@ -273,6 +374,8 @@ Ws --> "1" WsState : has
WsMgr ..> ChatSession : creates via\nsession_factory(ui, model_alias)
ModelReg --> "*" ModelCfg : holds
ModelReg --> "*" LLMProvider : caches
LLMProvider --> ModelCaps : returns
ChatSession --> HealthMon : checks circuit
HealthMon --> "1" CircuitState : has
@@ -282,6 +385,8 @@ note bottom of ChatSession
Central engine: multi-turn LLM loop
with tool dispatch, agent sub-sessions,
context compaction, and memory persistence.
Provider-agnostic — delegates all LLM
communication to LLMProvider adapters.
core/session.py (~2700 lines)
end note
-3
View File
@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fa1c94a0a7489cb9e6e6cad17f7e3577c458ec89d2a47fb2669fe935768837cf
size 276863
+25 -9
View File
@@ -8,7 +8,7 @@ skinparam sequenceLifeLineBackgroundColor #F5F5F5
participant "User /\nHTTP Client" as User
participant "ChatSession" as CS
participant "SessionUI" as UI
participant "OpenAI API\n(LLM)" as LLM
participant "LLMProvider\n(OpenAI / Anthropic)" as LLM
participant "Tool Executor\n(ThreadPool)" as TP
database "SQLite" as DB
@@ -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 ==
@@ -27,7 +27,7 @@ group loop [while tool_calls present]
CS -> UI : on_state_change("thinking")
CS -> UI : on_thinking_start()
CS -> LLM : client.chat.completions.create(\n model, messages, tools,\n stream=True, stream_options={include_usage})
CS -> LLM : provider.create_streaming(\n client, model, messages, tools, ...)\n (normalized StreamChunk iterator)
activate LLM
note right of CS
@@ -52,9 +52,19 @@ group loop [while tool_calls present]
CS -> UI : on_content_token(text)
else tool_call delta
CS -> CS : accumulate in tool_calls_acc
else info_delta present
CS -> UI : on_info(text)\n(e.g. server-side web search status)
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
@@ -63,8 +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) ==
@@ -110,14 +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 → Tavily API
remember/recall/forget → SQLite
web_search → provider-native or Tavily fallback
memory/recall → SQLite
end note
note right of TP
@@ -134,7 +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
@@ -142,6 +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
View File
@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:06fb9faa29c11395c6fc54ebddc79994b000dee78d56e0c13cb689fd6a82e37a
size 237255
+34 -26
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)
@@ -98,19 +103,22 @@ 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
├─ _exec_math: sandboxed subprocess
├─ _exec_man: man/info subprocess
├─ _exec_web_fetch: httpx.get + LLM summary
├─ _exec_web_search: Tavily API POST
├─ _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
View File
@@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:13b2da77312e5abb44c81aabb7f0addccab31d9bc7e8ef2f1c3563ef985ed503
size 186941
+10
View File
@@ -58,6 +58,9 @@ package "Inbound Messages (Client → Bridge)" #FFF3E0 {
+ auto_approve: bool = False
+ auto_approve_tools: list[str] = []
+ target_node: str = ""
+ initial_message: str = ""
+ template: str = ""
+ ws_template: str = ""
}
class CloseWorkstreamMessage {
@@ -78,6 +81,12 @@ package "Inbound Messages (Client → Bridge)" #FFF3E0 {
type = "list_nodes"
}
class CancelMessage {
type = "cancel"
--
+ ws_id: str
}
IM <|-- SendMessage
IM <|-- ApproveMessage
IM <|-- PlanFeedbackMessage
@@ -87,6 +96,7 @@ package "Inbound Messages (Client → Bridge)" #FFF3E0 {
IM <|-- ListWorkstreamsMessage
IM <|-- HealthMessage
IM <|-- ListNodesMessage
IM <|-- CancelMessage
}
package "Outbound Events (Bridge → Client)" #E3F2FD {
+5 -5
View File
@@ -18,20 +18,20 @@ note right of Redis : Shared queue — any bridge can pick up
BridgeA -> Redis : BLPOP [turnstone:inbound:nodeA,\n turnstone:inbound]
Redis --> BridgeA : SendMessage (from shared queue)
BridgeA -> ServerA : POST /api/workstreams/new\n{name:"", auto_approve:false}
BridgeA -> ServerA : POST /v1/api/workstreams/new\n{name:"", auto_approve:false}
ServerA --> BridgeA : {ws_id:"abc12345", name:"ws-abc1"}
BridgeA -> Redis : SET turnstone:ws:abc12345 "nodeA"
note right : Register workstream ownership
BridgeA -> ServerA : GET /api/events?ws_id=abc12345
BridgeA -> ServerA : GET /v1/api/events?ws_id=abc12345
note right : Start per-WS SSE thread
BridgeA -> Redis : PUBLISH turnstone:events:global\nWorkstreamCreatedEvent
BridgeA -> Redis : PUBLISH turnstone:events:cluster\nClusterStateEvent(ws_id, state:"idle", node_id:"nodeA")
BridgeA -> ServerA : POST /api/send\n{message:"...", ws_id:"abc12345"}
BridgeA -> ServerA : POST /v1/api/send\n{message:"...", ws_id:"abc12345"}
ServerA --> BridgeA : {status:"ok"}
BridgeA -> Redis : PUBLISH turnstone:events:abc12345\nAckEvent(status:"ok")
@@ -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
@@ -93,7 +93,7 @@ note right : Response queue — bypasses inbound queue
BridgeA -> Redis : BLPOP turnstone:resp:req_xyz\n(spawned approval thread, timeout 300s)
Redis --> BridgeA : ApproveMessage
BridgeA -> ServerA : POST /api/approve\n{approved:true, ws_id:"abc12345"}
BridgeA -> ServerA : POST /v1/api/approve\n{approved:true, ws_id:"abc12345"}
== Heartbeat (continuous) ==
+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)
+137 -16
View File
@@ -1,13 +1,14 @@
@startuml
!theme plain
title Turnstone — Console Dashboard Data Collection
title Turnstone — Console Dashboard Data Flow
skinparam sequenceArrowThickness 1.5
participant "Browser" as Browser
participant "Console\nHTTP Server" as Server
participant "Console\nStarlette App" as Server
participant "ClusterCollector" as CC
collections "Redis" as Redis
participant "Node-A Bridge" as BridgeA
participant "Node-A\n(real server)" as NodeA
participant "Node-B\n(sim node)" as NodeB
@@ -67,17 +68,29 @@ note right of CC
from the cluster event channel.
end note
CC -> NodeA : GET /api/dashboard
CC -> NodeA : GET /v1/api/dashboard
activate NodeA
NodeA --> CC : {workstreams: [...],\naggregate: {total_tokens, ...}}
deactivate NodeA
CC -> NodeA : GET /health
activate NodeA
NodeA --> CC : {status:"ok", model:"...",\nworkstreams:{total, idle, ...}}
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)
@@ -85,40 +98,148 @@ deactivate CC
== Browser SSE Stream ==
Browser -> Server : GET /api/cluster/events
Browser -> Server : GET /v1/api/cluster/events
activate Server
Server -> CC : register_listener(queue)
note right : Per-client queue.Queue(maxsize=500)
Server -> CC : get_snapshot()
CC --> Server : ClusterSnapshot\n(full current state)
loop continuous
Server -> CC : register_listener(queue)
note right : Per-client queue.Queue(maxsize=500)\nSSE via EventSourceResponse + run_in_executor()
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
alt timeout (5s no events)
Server -> Browser : : keepalive\n\n
alt keepalive (sse-starlette ping=5)
Server -> Browser : : ping\n\n
end
Browser -> Server : connection closed
Server -> CC : unregister_listener(queue)
deactivate Server
== Browser REST Requests ==
== Browser REST: Snapshot ==
Browser -> Server : GET /api/cluster/overview
Server -> CC : get_overview()
CC --> Server : {nodes: 10, workstreams: 47,\nstates: {running:5, thinking:3, ...},\naggregate: {total_tokens: 50000}}
Browser -> Server : GET /v1/api/cluster/snapshot
Server -> CC : get_snapshot()
CC --> Server : ClusterSnapshot\n(full current state)
Server --> Browser : JSON response
Browser -> Server : GET /api/cluster/nodes?sort=activity
== Browser REST Requests ==
Browser -> Server : GET /v1/api/cluster/overview
Server -> CC : get_overview()
CC --> Server : {nodes: 10, workstreams: 47,\nstates: {running:5, ...},\naggregate: {total_tokens: 50000},\nversion_drift: false, versions: ["0.3.0"]}
Server --> Browser : JSON response
Browser -> Server : GET /v1/api/cluster/nodes?sort=activity
Server -> CC : get_nodes(sort_by="activity")
CC --> Server : {nodes: [...], total: 10}
Server --> Browser : JSON response
Browser -> Server : GET /api/cluster/workstreams\n?state=running&node=sim-0003
Browser -> Server : GET /v1/api/cluster/workstreams\n?state=running&node=sim-0003
Server -> CC : get_workstreams(state="running",\nnode="sim-0003")
CC --> Server : {workstreams: [...], total: 5,\npage: 1, per_page: 50, pages: 1}
Server --> Browser : JSON response
== Workstream Creation (via MQ) ==
Browser -> Server : POST /v1/api/cluster/workstreams/new\n{node_id:"nodeA", name:"new-task"}
activate Server #FFECB3
Server -> CC : _pick_best_node() or\nget_node_detail(node_id)
CC --> Server : node validated
Server -> Server : Build CreateWorkstreamMessage\n{target_node:"nodeA", name:"new-task"}
Server -> Redis : RPUSH turnstone:inbound:nodeA\n(directed queue)
Server --> Browser : {status:"ok", correlation_id:"abc",\ntarget_node:"nodeA"}
deactivate Server
note right of Redis
Bridge on Node-A picks up the
message from its directed queue,
POSTs to /v1/api/workstreams/new,
registers ownership, publishes
ws_created to cluster channel.
end note
Redis --> BridgeA : BLPOP turnstone:inbound:nodeA
activate BridgeA
BridgeA -> NodeA : POST /v1/api/workstreams/new\n{name:"new-task"}
NodeA --> BridgeA : {ws_id:"ws789", name:"new-task"}
BridgeA -> Redis : SET turnstone:ws:ws789 = nodeA
BridgeA -> Redis : PUBLISH turnstone:events:cluster\n{type:"ws_created", ws_id:"ws789",\nnode_id:"nodeA", name:"new-task"}
deactivate BridgeA
Redis --> CC : ws_created event
CC -> CC : Add workstream to\nNodeSnapshot["nodeA"]
CC -> CC : _fanout(event)
Server -> Browser : SSE: data: {"type":"ws_created",...}
== Reverse Proxy (server UI through console port) ==
Browser -> Server : GET /node/nodeA/
activate Server #FFF9C4
Server -> CC : get_node_detail("nodeA")\n→ server_url = "http://10.0.1.1:8080"
Server -> NodeA : GET http://10.0.1.1:8080/\n(via httpx.AsyncClient)
activate NodeA
NodeA --> Server : index.html
deactivate NodeA
Server -> Server : Rewrite static paths:\nhref="/static/" → "/node/nodeA/static/"\nInject console-return banner\nafter <body>
Server --> Browser : Rewritten HTML
deactivate Server
Browser -> Server : GET /node/nodeA/static/app.js
activate Server #FFF9C4
Server -> NodeA : GET http://10.0.1.1:8080/static/app.js
activate NodeA
NodeA --> Server : app.js
deactivate NodeA
Server -> Server : Prepend JS proxy shim:\nOverride fetch() and EventSource()\nto prepend "/node/nodeA" prefix
Server --> Browser : Shimmed app.js
deactivate Server
note right of Browser
All fetch("/v1/api/send") calls in the
server UI now become fetch("/node/nodeA/v1/api/send"),
routed through the console proxy.
end note
Browser -> Server : GET /node/nodeA/v1/api/events?ws_id=ws789
activate Server #FFF9C4
Server -> NodeA : GET http://10.0.1.1:8080/v1/api/events?ws_id=ws789\n(SSE stream via httpx.AsyncClient timeout=None)
activate NodeA
loop SSE streaming
NodeA --> Server : data: {"type":"content","text":"..."}\n\n
Server --> Browser : data: {"type":"content","text":"..."}\n\n
end
deactivate NodeA
deactivate Server
Browser -> Server : POST /node/nodeA/v1/api/send\n{message:"hello", ws_id:"ws789"}
activate Server #FFF9C4
Server -> NodeA : POST http://10.0.1.1:8080/v1/api/send\n(body forwarded)
activate NodeA
NodeA --> Server : {status:"ok"}
deactivate NodeA
Server --> Browser : {status:"ok"}
deactivate Server
@enduml
+4 -4
View File
@@ -83,12 +83,12 @@ mqclient --> redis : Redis protocol\nport 6379
server --> redis : Redis protocol\n(6379)
server --> llm_api : OpenAI API\n(HTTPS/HTTP)
bridge --> server : HTTP REST\n(POST /api/send, etc.)
bridge <-- server : SSE\n(GET /api/events)
bridge --> server : HTTP REST\n(POST /v1/api/send, etc.)
bridge <-- server : SSE\n(GET /v1/api/events)
bridge --> redis : Redis protocol\n(queues + pubsub)
console --> redis : Redis PUBSUB\n(cluster channel)
console --> server : HTTP polling\n(GET /api/dashboard)
console --> redis : Redis PUBSUB + LIST\n(cluster events,\nws creation commands)
console --> server : HTTP polling + proxy\n(GET /v1/api/dashboard,\nproxy /node/{id}/*)
sim --> redis : Redis protocol\n(queues + pubsub + keys)
+158
View File
@@ -0,0 +1,158 @@
@startuml
!theme plain
title Turnstone — Client SDK Architecture
skinparam class {
BackgroundColor<<async>> #C8E6C9
BackgroundColor<<sync>> #B8D4E3
BackgroundColor<<event>> #FFE0B2
BackgroundColor<<type>> #F0F4C3
BackgroundColor<<ts>> #E1BEE7
}
skinparam packageBorderColor #888888
skinparam ArrowColor #555555
' Python SDK
package "turnstone/sdk/ (Python)" {
abstract class _BaseClient <<async>> {
- _client: httpx.AsyncClient
- _owns_client: bool
+ _request(method, path, ...) → T
+ _stream_sse(path, ...) → AsyncIterator
+ aclose()
}
class AsyncTurnstoneServer <<async>> {
+ list_workstreams()
+ dashboard()
+ create_workstream()
+ close_workstream()
+ send(message, ws_id)
+ approve()
+ plan_feedback()
+ command()
+ cancel(ws_id)
+ stream_events(ws_id)
+ stream_global_events()
+ send_and_wait()
+ list_saved_workstreams()
+ login() / logout()
+ health()
}
class AsyncTurnstoneConsole <<async>> {
+ overview()
+ nodes()
+ workstreams()
+ node_detail()
+ snapshot()
+ create_workstream()
+ stream_cluster_events()
+ login() / logout()
+ health()
}
class TurnstoneServer <<sync>> {
- _async: AsyncTurnstoneServer
- _runner: _SyncRunner
.. delegates all methods ..
+ __enter__ / __exit__
}
class TurnstoneConsole <<sync>> {
- _async: AsyncTurnstoneConsole
- _runner: _SyncRunner
.. delegates all methods ..
+ __enter__ / __exit__
}
class _SyncRunner <<sync>> {
- _loop: EventLoop
- _thread: Thread
+ run(coro) → T
+ run_iter(async_gen) → Iterator
+ close()
}
class TurnResult <<type>> {
+ ws_id: str
+ content_parts: list[str]
+ reasoning_parts: list[str]
+ tool_results: list
+ errors: list[str]
+ timed_out: bool
--
+ content: str
+ reasoning: str
+ ok: bool
}
class ServerEvent <<event>> {
+ type: str
+ ws_id: str
+ from_dict() → ServerEvent
}
class ClusterEvent <<event>> {
+ type: str
+ from_dict() → ClusterEvent
}
_BaseClient <|-- AsyncTurnstoneServer
_BaseClient <|-- AsyncTurnstoneConsole
TurnstoneServer --> AsyncTurnstoneServer : wraps
TurnstoneServer --> _SyncRunner : uses
TurnstoneConsole --> AsyncTurnstoneConsole : wraps
TurnstoneConsole --> _SyncRunner : uses
AsyncTurnstoneServer ..> TurnResult : returns
AsyncTurnstoneServer ..> ServerEvent : yields
AsyncTurnstoneConsole ..> ClusterEvent : yields
}
' TypeScript SDK
package "sdk/typescript/ (TypeScript)" {
class "BaseClient" as TSBase <<ts>> {
# baseUrl: string
# token: string
# fetchFn: fetch
# request<T>()
# streamSSE<T>()
}
class "TurnstoneServer" as TSServer <<ts>> {
+ listWorkstreams()
+ send()
+ streamEvents()
+ sendAndWait()
...
}
class "TurnstoneConsole" as TSConsole <<ts>> {
+ overview()
+ nodes()
+ snapshot()
+ clusterEvents()
...
}
TSBase <|-- TSServer
TSBase <|-- TSConsole
}
' External connections
class "turnstone-server :8080" as Server <<artifact>>
class "turnstone-console :8081" as Console <<artifact>>
AsyncTurnstoneServer --> Server : httpx REST + SSE
AsyncTurnstoneConsole --> Console : httpx REST + SSE
TSServer --> Server : fetch REST + SSE
TSConsole --> Console : fetch REST + SSE
note right of AsyncTurnstoneServer
Returns Pydantic models from
turnstone.api.server_schemas
(no type duplication)
end note
@enduml
+171
View File
@@ -0,0 +1,171 @@
@startuml
!theme plain
title Turnstone — Storage Architecture
skinparam class {
BackgroundColor<<protocol>> #E8EAF6
BackgroundColor<<sqlite>> #C8E6C9
BackgroundColor<<postgres>> #B3E5FC
BackgroundColor<<facade>> #FFF9C4
BackgroundColor<<migration>> #FFE0B2
BackgroundColor<<schema>> #F3E5F5
}
' -- Protocol --
interface "StorageBackend" as SB <<protocol>> {
+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
+kv_list() → list[(str, str)]
+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()
}
' -- Backends --
class "SQLiteBackend" as SQLite <<sqlite>> {
-_engine: sa.Engine
-_fts5_available: bool
+__init__(path: str)
--
FTS5 full-text search
Default pool, check_same_thread=False
}
class "PostgreSQLBackend" as PG <<postgres>> {
-_engine: sa.Engine
+__init__(url: str, pool_size: int)
--
tsvector + ILIKE search
Connection pooling
}
' -- Schema --
class "_schema.py" as Schema <<schema>> {
+metadata: MetaData
+memories: Table
+conversations: 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
}
' -- Migration --
class "_migrate.py" as Migrate <<migration>> {
+run_migrations(storage, backend)
-_bootstrap_existing_sqlite()
--
Programmatic Alembic
Auto-bootstrap existing DBs
}
class "migrations/" as Versions <<migration>> {
001_initial_schema.py
002_user_identity.py
}
' -- Registry --
class "_registry.py" as Registry {
-_storage: StorageBackend | None
+init_storage(backend, path, url) → StorageBackend
+get_storage() → StorageBackend
+reset_storage()
--
Auto-initializes SQLite
if not configured
}
' -- Facade --
class "memory.py" as Facade <<facade>> {
+save_message()
+load_messages()
+register_workstream()
+update_workstream_state()
+save_workstream_config()
+save_memory() / delete_memory()
+search_memories()
+... (all delegated functions)
--
Thin delegation to
get_storage()
Silent failure behavior
}
' -- Consumers --
class "session.py\nChatSession" as Session {
}
class "server.py\nWeb UI" as Server {
}
class "cli.py\nTerminal" as CLI {
}
' -- Relationships --
SQLite ..|> SB
PG ..|> SB
SQLite --> Schema : uses
PG --> Schema : uses
Registry --> SB : creates
Registry --> Migrate : calls
Migrate --> Versions : applies
Migrate --> Schema : references
Facade --> Registry : get_storage()
Session --> Facade : imports
Server --> Facade : imports
CLI --> Facade : imports
' -- Config --
note right of Registry
[database]
backend = "sqlite" | "postgresql"
url = "postgresql+psycopg://..."
path = ".turnstone.db"
pool_size = 5
end note
note bottom of SQLite
Default backend.
Zero-config for
single-node / dev.
end note
note bottom of PG
Production backend.
Multi-node / Docker
default.
end note
@enduml
+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
+250
View File
@@ -0,0 +1,250 @@
@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>>
== Startup: Connection & Discovery ==
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
@@ -0,0 +1,161 @@
@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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<text x="90" y="211" text-anchor="middle" fill="#8b949e" font-size="9">HTTP + SSE</text>
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<text x="90" y="281" text-anchor="middle" fill="#8b949e" font-size="9">programmatic</text>
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<text x="90" y="336" text-anchor="middle" fill="#e6edf3" font-size="11" font-weight="600">Discord / Slack</text>
<text x="90" y="351" text-anchor="middle" fill="#8b949e" font-size="9">chat platforms</text>
</g>
<!-- ==================== GATEWAY BOXES ==================== -->
<!-- Console -->
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<text x="739" y="300" text-anchor="middle" fill="#8b949e" font-size="9">server</text>
<!-- Arrow bridge to server -->
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<!-- Tools label -->
<text x="699" y="326" text-anchor="middle" fill="#484f58" font-size="8">14 tools + MCP</text>
</g>
<!-- ==================== LLM PROVIDERS ==================== -->
<!-- OpenAI -->
<g filter="url(#shadow)">
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</g>
<!-- Anthropic -->
<g filter="url(#shadow)">
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<text x="940" y="233" text-anchor="middle" fill="#8b949e" font-size="9">Claude 4.5 / 4.6</text>
</g>
<!-- Local / vLLM -->
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<text x="940" y="299" text-anchor="middle" fill="#8b949e" font-size="9">llama.cpp, NIM</text>
</g>
<!-- ==================== STORAGE ==================== -->
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<text x="699" y="492" text-anchor="middle" fill="#8b949e" font-size="9">conversations, memory, auth</text>
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<text x="699" y="444" text-anchor="middle" fill="#bc8cff" font-size="9" font-weight="600" letter-spacing="2">STORAGE</text>
<!-- ==================== CONNECTION LINES ==================== -->
<!-- CLIENT -> GATEWAY connections -->
<!-- Browser -> Console -->
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<!-- Console -> Redis -->
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<!-- Channel -> Redis -->
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<!-- REDIS -> NODE connections -->
<!-- Redis -> Node A bridge -->
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<text x="468" y="120" fill="#484f58" font-size="8" text-anchor="middle">proxy</text>
<!-- NODE -> LLM connections -->
<!-- Node A -> LLM providers -->
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<!-- NODE -> STORAGE connections -->
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<!-- Extensibility hint -->
<text x="699" y="392" text-anchor="middle" fill="#30363d" font-size="10">...</text>
<!-- Event flow: Bridges -> Redis (dashed, bidirectional feel) -->
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<text x="574" y="242" fill="#484f58" font-size="7" text-anchor="middle">events</text>
<!-- ==================== FLOW LABELS ==================== -->
<!-- Interactive flow label -->
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<text x="46" y="404" fill="#8b949e" font-size="9">interactive (direct)</text>
<!-- Queue flow label -->
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<text x="176" y="404" fill="#8b949e" font-size="9">queue-driven</text>
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<!-- ==================== BOTTOM DETAILS ==================== -->
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<!-- Routing rules at bottom, left-aligned -->
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<circle cx="44" cy="474" r="3" fill="#f47067" opacity="0.6"/>
<text x="54" y="477" fill="#484f58" font-size="9">target_node set &#x2192; route to specific node queue</text>
<circle cx="44" cy="494" r="3" fill="#f0883e" opacity="0.6"/>
<text x="54" y="497" fill="#484f58" font-size="9">ws_id set &#x2192; route to owning node</text>
<circle cx="44" cy="514" r="3" fill="#58a6ff" opacity="0.6"/>
<text x="54" y="517" fill="#484f58" font-size="9">neither &#x2192; shared queue, any node picks up</text></svg>

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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
@@ -57,7 +72,7 @@ All configuration is via environment variables in `.env` (copy from `.env.exampl
|----------|---------|-------------|
| `LLM_BASE_URL` | `http://host.docker.internal:8000/v1` | OpenAI-compatible API URL |
| `OPENAI_API_KEY` | `dummy` | API key (`dummy` for local servers) |
| `TAVILY_API_KEY` | — | Web search API key (optional) |
| `TAVILY_API_KEY` | — | Web search API key (only needed for local/vLLM models; Anthropic and OpenAI search models use native search) |
### Redis
@@ -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
View File
@@ -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.
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# Turnstone Client SDK
> See also: [API Reference](api-reference.md) | [Architecture](architecture.md) | [SDK Class Diagram](diagrams/png/13-sdk-architecture.png)
Typed HTTP client libraries for programmatic access to the turnstone server and console APIs. Available in Python (sync + async) and TypeScript.
---
## Python SDK
The Python SDK is included in the `turnstone` package — no extra install required. It wraps the REST and SSE endpoints with typed methods that return Pydantic models directly.
### Quick Start
```python
from turnstone.sdk import TurnstoneServer
# 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")
# Send a message and wait for the full response
result = client.send_and_wait("Summarize this codebase.", ws.ws_id)
print(result.content)
# Stream events in real time
for event in client.stream_events(ws.ws_id):
if event.type == "content":
print(event.text, end="", flush=True)
# Close when done
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
import asyncio
from turnstone.sdk import AsyncTurnstoneServer
async def main():
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":
print(event.text, end="", flush=True)
asyncio.run(main())
```
### Server Client API
Both `TurnstoneServer` (sync) and `AsyncTurnstoneServer` (async) expose:
| Category | Method | Returns |
|----------|--------|---------|
| **Workstreams** | `list_workstreams()` | `ListWorkstreamsResponse` |
| | `dashboard()` | `DashboardResponse` |
| | `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` |
| **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
Both `TurnstoneConsole` (sync) and `AsyncTurnstoneConsole` (async) expose:
| Category | Method | Returns |
|----------|--------|---------|
| **Cluster** | `overview()` | `ClusterOverviewResponse` |
| | `nodes(*, sort, limit, offset)` | `ClusterNodesResponse` |
| | `workstreams(*, state, node, search, sort, page, per_page)` | `ClusterWorkstreamsResponse` |
| | `node_detail(node_id)` | `NodeDetailResponse` |
| | `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(username=..., password=...)` / `login(token="ts_xxx")` | `AuthLoginResponse` |
| | `logout()` | `StatusResponse` |
| **Health** | `health()` | `ConsoleHealthResponse` |
### Event Types
SSE events are deserialized into typed dataclasses. Use `event.type` to discriminate.
**Per-workstream events** (from `stream_events(ws_id)`):
| Type | Class | Key Fields |
|------|-------|------------|
| `connected` | `ConnectedEvent` | `model`, `model_alias`, `skip_permissions` |
| `history` | `HistoryEvent` | `messages` |
| `content` | `ContentEvent` | `text` |
| `reasoning` | `ReasoningEvent` | `text` |
| `tool_info` | `ToolInfoEvent` | `items` |
| `approve_request` | `ApproveRequestEvent` | `items` |
| `tool_result` | `ToolResultEvent` | `call_id`, `name`, `output` |
| `tool_output_chunk` | `ToolOutputChunkEvent` | `call_id`, `chunk` |
| `status` | `StatusEvent` | `prompt_tokens`, `total_tokens`, `pct`, `effort` |
| `plan_review` | `PlanReviewEvent` | `content` |
| `error` | `ErrorEvent` | `message` |
| `info` | `InfoEvent` | `message` |
| `stream_end` | `StreamEndEvent` | — |
| `cancelled` | `CancelledEvent` | — |
**Global events** (from `stream_global_events()`):
| Type | Class | Key Fields |
|------|-------|------------|
| `ws_state` | `WsStateEvent` | `ws_id`, `state`, `tokens`, `activity` |
| `ws_activity` | `WsActivityEvent` | `ws_id`, `activity`, `activity_state` |
| `ws_rename` | `WsRenameEvent` | `ws_id`, `name` |
| `ws_closed` | `WsClosedEvent` | `ws_id` |
**Cluster events** (from `stream_cluster_events()`):
| Type | Class | Key Fields |
|------|-------|------------|
| `node_joined` | `NodeJoinedEvent` | `node_id` |
| `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
The `send_and_wait()` method returns a `TurnResult` that aggregates the full response:
```python
result = client.send_and_wait("Hello", ws_id, timeout=60)
result.content # Full text response
result.reasoning # Chain-of-thought (if shown)
result.tool_results # List of (tool_name, output) tuples
result.errors # Any error messages
result.ok # True if no errors and not timed out
result.timed_out # True if timeout expired
```
### Error Handling
Non-2xx responses raise `TurnstoneAPIError`:
```python
from turnstone.sdk import TurnstoneServer, TurnstoneAPIError
try:
client.send("hi", "bad_ws_id")
except TurnstoneAPIError as e:
print(e.status_code) # 404
print(e.message) # "Unknown workstream"
```
---
## TypeScript SDK
Located at `sdk/typescript/`. Zero runtime dependencies for browsers; uses native `fetch` and `ReadableStream` for SSE parsing.
### Quick Start
```typescript
import { TurnstoneServer } from "@turnstone/sdk";
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" });
const result = await client.sendAndWait("Hello!", ws.ws_id);
console.log(result.content);
// Stream events
for await (const event of client.streamEvents(ws.ws_id)) {
if (event.type === "content") {
process.stdout.write(event.text);
}
}
```
### Console Client
```typescript
import { TurnstoneConsole } from "@turnstone/sdk";
const client = new TurnstoneConsole({ baseUrl: "http://localhost:8090" });
await client.login({ username: "alice", password: "s3cret" });
const overview = await client.overview();
console.log(`Nodes: ${overview.nodes}, Workstreams: ${overview.workstreams}`);
// Stream cluster events
for await (const event of client.clusterEvents()) {
console.log(event.type, event);
}
```
### Type Safety
All event types are modeled as a discriminated union:
```typescript
import { isContentEvent, isErrorEvent } from "@turnstone/sdk";
import type { ServerEvent } from "@turnstone/sdk";
function handleEvent(event: ServerEvent) {
if (isContentEvent(event)) {
// event is narrowed to ContentEvent
console.log(event.text);
} else if (isErrorEvent(event)) {
console.error(event.message);
}
}
```
### Custom Fetch
The client accepts a custom `fetch` implementation for testing or Node.js environments:
```typescript
const client = new TurnstoneServer({
baseUrl: "http://localhost:8080",
fetch: myCustomFetch,
});
```
---
## Architecture
```
turnstone/sdk/ Python SDK (sub-package)
_base.py Shared httpx async client, auth, error handling
_sync.py Background event loop for sync wrappers
_types.py TurnResult + TurnstoneAPIError
events.py 27 SSE event dataclasses with type registry
server.py AsyncTurnstoneServer + TurnstoneServer
console.py AsyncTurnstoneConsole + TurnstoneConsole
sdk/typescript/ TypeScript SDK (npm package)
src/base.ts fetch wrapper, auth, SSE streaming
src/server.ts TurnstoneServer class
src/console.ts TurnstoneConsole class
src/events.ts Discriminated union events + type guards
src/sse.ts ReadableStream SSE parser
src/types.ts Request/response interfaces
```
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.
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# 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.
+401 -37
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`.
@@ -302,8 +310,11 @@ Search the web using a text query.
| `max_results` | integer | no | Max results to return (default 5, max 20). |
| `topic` | string | no | Search topic: `general`, `news`, or `finance` (default `general`). |
- **What it does**: Searches the web via the Tavily API and returns ranked results with titles, URLs, and content snippets.
- **Auto-approve**: No -- requires user confirmation (makes network requests).
- **What it does**: Searches the web and returns ranked results with titles, URLs, and content snippets. Uses provider-native search when available:
- **Anthropic**: Replaced at the API boundary with Anthropic's `web_search_20250305` server-side tool. Claude decides when to search; the API executes it and returns results with citations inline. No Tavily key needed.
- **OpenAI search models** (`gpt-5-search-api`): Replaced with `web_search_options` parameter. The model always searches and returns `url_citation` annotations.
- **Local/vLLM models**: Falls back to the Tavily API. Requires `tavily_key` in `config.toml` or `$TAVILY_API_KEY`.
- **Auto-approve**: Yes (auto-approved for all tool dispatch paths).
- **Agent availability**: `agent` and `task_agent`.
---
@@ -332,7 +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).
@@ -340,16 +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).
@@ -357,30 +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.
---
@@ -399,14 +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.
@@ -418,13 +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()`,
@@ -497,3 +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.

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