Patrick Buckley 2cbd926b9d fix(skills): apply review feedback on unlock action
Code review caught a race + a missing None guard; designer review
caught a window.confirm regression and a button-hierarchy issue.

Backend:
- Race fix (bug-2): replace set_skill_readonly+create_skill_version
  with a single atomic unlock_skill(template_id, snapshot, changed_by)
  -> int|None on the storage protocol (sqlite + postgres). Snapshot
  insert + readonly flip happen in one transaction; the next version
  number is computed via SELECT MAX(version)+1 inside the txn rather
  than len(list)+1 outside, closing the (skill_id, version)
  collision window where two concurrent admin actions could both pick
  the same version.
- None guard (bug-3): check the post-flip get_prompt_template re-read;
  return 404 instead of letting _skill_to_response(None) raise.
- Audit body: also record snapshot_version, and harden None-vs-empty
  with `or ""` on the existing.get(...) calls.

Frontend:
- D-1: replace window.confirm with the existing showConfirmModal
  (admin.js:2350) — themed dialog, focus-trap, can render the source
  URL with consistent typography. The native dialog could collapse
  the multi-paragraph copy depending on browser.
- D-2: mutate-in-place on success rather than hide → reload → reopen.
  loadGovSkills now returns its fetch promise so unlockSkill can
  chain showEditTemplateModal after the cache refresh — no flicker,
  no focus bounce, and it kills bug-1 (the reopen was reading stale
  _govSkills before loadGovSkills resolved). showEditTemplateModal
  is idempotent when already open: it skips the trigger-element
  capture and the focus-trap reinstall.
- D-3: button hierarchy. Drop flex:1 from .modal-secondary so the
  Save button keeps a stable width whether or not Customize is
  rendered; insert a flex-spacer between Customize and Save so the
  destructive-ish detach groups left next to Cancel and the primary
  action floats right.
- D-4: NBSP normalized to match the existing   escape pattern
  on the sibling badge line (was an actual NBSP byte).
- D-5: success toast now reads "Skill unlocked — fields are now
  editable" so the operator gets a positive affirmation that the
  edit affordance is live.
- D-10: aria-describedby="etm-origin-badge" on disabled spec inputs
  so screen-reader users get the same "this came from upstream"
  context that sighted users see in the cyan badge.

Tests: + test_unlock_skill_versions_after_existing_history seeds an
out-of-order version (3) and asserts unlock picks 4, defending
against the len()-based version computation regressing.
2026-05-08 15:18:10 -07:00
2026-05-07 22:56:06 -07:00
2026-05-07 22:56:06 -07:00

Turnstone

CI PyPI Python License

Multi-node AI orchestration platform. Deploy tool-using AI agents across a cluster of servers with direct HTTP routing, interactive interfaces, and enterprise governance.

Turnstone coordinator — parallel tool batches with judge-graded approval and child workstream tracking

Named after the Ruddy Turnstone (Arenaria interpres) — a shorebird that flips stones to discover what's hiding underneath.

Release Tracks

Track Install Docker Description
Stable pip install turnstone ghcr.io/turnstonelabs/turnstone:stable Production-grade. Bugfixes only.
Experimental pip install turnstone --pre ghcr.io/turnstonelabs/turnstone:experimental New features. May have rough edges.

See docs/releasing.md for the full release process.

What it does

Turnstone gives LLMs tools — shell, files, search, web, planning — and orchestrates multi-turn conversations where the model investigates, acts, and reports.

  • Interactive sessions — terminal CLI or browser UI with parallel workstreams
  • Cluster dashboard — real-time view of all nodes and workstreams with console routing proxy
  • Intent validation — LLM judge evaluates every tool call with risk assessments and evidence
  • Governance — RBAC, OIDC SSO, tool policies, skills, usage tracking, audit logs
  • Multi-provider — OpenAI-compatible APIs (vLLM, llama.cpp, NIM), Anthropic Messages API, and Google Gemini
  • MCP support — external tool servers with native deferred loading (Anthropic/OpenAI) or BM25 fallback

Turnstone system architecture

Quickstart

pip install turnstone

# Terminal REPL
turnstone --base-url http://localhost:8000/v1

# Browser UI
turnstone-server --port 8080 --base-url http://localhost:8000/v1

# Cluster dashboard
pip install turnstone[console]
turnstone-console --port 8090

For PostgreSQL (recommended for production):

pip install turnstone[postgres]
export TURNSTONE_DB_BACKEND=postgresql
export TURNSTONE_DB_URL="postgresql+psycopg://user:pass@localhost:5432/turnstone"
turnstone-server --port 8080 --base-url http://localhost:8000/v1

Docker

cp .env.example .env  # edit LLM_BASE_URL, OPENAI_API_KEY, etc.
docker compose --profile production up

See QUICKSTART.md for the bootstrap wizard and docs/docker.md for Docker configuration and profiles.

Programmatic (SDK)

from turnstone.sdk import TurnstoneServer

with TurnstoneServer("http://localhost:8080", token="tok_xxx") as client:
    ws = client.create_workstream(name="demo")
    result = client.send_and_wait("Analyze the error logs", ws.ws_id, auto_approve=True)
    print(result.content)

Tools

Built-in tools for shell, files, search, web, memory, notifications, and autonomous sub-agents — plus external tools via MCP with native deferred loading. See docs/tools.md for the full reference and docs/mcp-registry.md for MCP configuration.

Architecture

Single-node: Client → Server (direct HTTP + SSE). No external dependencies beyond the database.

Multi-node: Client → Console (rendezvous routing proxy) → Server nodes. The console picks the target node for each workstream via rendezvous (HRW) hashing over the live service registry — pure function of (ws_id, live_nodes), no stored bucket state, deterministic across readers. A node join or drop only re-routes the keys that score highest on the affected node.

Component Purpose
turnstone Terminal CLI (REPL)
turnstone-server Web UI + REST API + SSE events
turnstone-console Cluster dashboard + routing proxy + admin panel
turnstone-channel Channel gateway (Discord and Slack adapters)
turnstone-admin User/token management CLI
turnstone-eval Eval harness for prompt/tool optimization
turnstone-bootstrap LLM-guided setup wizard

Diagrams

UML diagrams in docs/diagrams/:

Diagram Description
System Context Components and external dependencies
Package Structure Python modules and dependency graph
Core Engine SessionUI, ChatSession, LLMProvider
Conversation Turn Message lifecycle through the engine
Tool Pipeline Prepare / approve / execute
Workstream States State machine transitions
Console Data Flow Dashboard data collection
Deployment Docker Compose topology
Auth JWT, scopes, login flows
Channels Discord / Slack adapters + routing
Judge Intent validation pipeline
OIDC SSO authorization code flow

Documentation

Topic Link
Configuration reference docs/settings.md
API reference docs/api-reference.md
Docker deployment docs/docker.md
Intent validation (judge) docs/judge.md
Governance & RBAC docs/governance.md
OIDC SSO docs/oidc.md
TLS / mTLS docs/tls.md
Channel integrations docs/channels.md
Console dashboard docs/console.md
Eval harness docs/eval.md
Tools reference docs/tools.md
MCP integration docs/mcp-registry.md

Requirements

  • Python 3.11+
  • An OpenAI-compatible API endpoint, Anthropic API key, or Google Gemini API key
  • Optional: PostgreSQL (pip install turnstone[postgres]), Anthropic (pip install turnstone[anthropic])
  • Git LFS for cloning (diagram PNGs)

License

Business Source License 1.1 — free for all use except hosting as a managed service. Converts to Apache 2.0 on 2030-03-01.

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