Patrick Buckley 54f04496c3 feat(approve): inline approve/deny buttons + judge verdict pill on coord tree
Chunk 3 of the inline-child-approvals plan + the SSE pipeline plumbing
needed for sub-second urgent fetches.

JS (coordinator.js):
- approveWorkstream(targetWsId, body) — generic POST helper, callable
  for both the coord-self dock and the new per-child inline buttons.
- renderApprovalBlock(child, detail) — risk-level pill (.risk.* per
  the design system primitives), tool-name summary with "+ N more"
  for envelope-level approvals, intent_summary, ↳ judge reasoning
  teaser, ▸ more disclosure carrying the recommendation chip,
  evidence list, and items 2..N stacked sub-blocks. Plus matrix
  coverage: judge_pending / judge unavailable / tool-policy
  blocked / multi-item.
- submitChildApproval — handles the 409 stale call_id race by
  invalidating the live cache + urgent-refetching, optimistically
  clears pending_approval_detail on success.
- scheduleLiveFetch({ urgent: true }) — bypasses the 5s TTL +
  cancels the debounce so attention transitions surface inline UI
  immediately instead of after the next polling window.
- handleChildState fires urgent on activity_state="approval"
  enter/leave; handleChildClosed eagerly invalidates the live
  cache so closed rows can't render stale buttons.

CSS (index.html):
- New .approval-block / pill / preview / actions / disclosure
  styles. Inline .act buttons duplicate the dock's colour treatment
  (the dock-scoped rules don't reach the children-tree). Mobile
  <700px touch targets ≥44px.

Pipeline (collector.py + coordinator_adapter.py):
- All three cluster_state event emitters and the child_ws_state
  re-emit now carry activity_state. The previous omission left
  the urgent-fetch trigger as dead code — discovered in review.

Tests:
- Static smoke test in test_coordinator_page.py asserting the new
  helper names exist + the pending_approval_detail key is read.

Plan: docs/design/inline-child-approvals.md (chunk 3 of 4).
2026-04-27 11:41:14 -07:00
2026-04-23 18:46:15 -07:00
2026-04-27 07:50:27 -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 console — multi-workstream AI orchestration with mermaid diagrams

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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