Patrick Buckley 9a518657a3 feat: replace console HTTP polling with persistent SSE streams (#266)
* feat: replace console HTTP polling with persistent SSE streams

Console collector now subscribes to each server node's /v1/api/events/global
SSE stream for real-time state updates instead of polling /v1/api/dashboard
and /health every 15 seconds.

Server changes:
- Emit ws_created/ws_closed events on global queue from create/close handlers
- Add node_snapshot on SSE connect (workstreams, health, aggregate)
- Add ?expected_node_id= identity verification (409 on mismatch)
- Add health_changed callback to BackendHealthMonitor circuit breaker
- Add periodic aggregate emitter thread (10s)

Console collector changes:
- Single asyncio event loop on one thread multiplexes all SSE connections
  (scales to 1000+ nodes vs thread-per-node)
- Discovery loop spawns/cancels async SSE tasks per node
- Snapshot reconciliation on connect, delta application for live events
- Fix ws_state→cluster_state event type mismatch
- Remove polling code (poll_interval, max_poll_workers, --poll-interval CLI)

SDK changes:
- Add NodeSnapshotEvent, HealthChangedEvent, AggregateEvent dataclasses
- Add stream_node_events() method (async + sync)

* fix: address review feedback on node event streams

- Fix stop() to let SSE manager exit naturally instead of force-stopping
  the event loop (ensures finally cleanup runs)
- Guard against empty/invalid SSE data from ping frames
- Treat missing node_id as identity mismatch (409) when expected_node_id
  is provided
- Fix stale docstring on _update_metrics
2026-03-31 11:28:39 -07:00
2026-03-30 23:24:16 -07:00
2026-03-30 23:24:16 -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.

Beta — Use at your own risk. APIs, configuration formats, and database schemas may change between versions without migration paths.

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

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) and Anthropic Messages API
  • 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

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.md for MCP configuration.

Architecture

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

Multi-node: Client → Console (hash ring routing proxy) → Server nodes. The console maintains a 65536-entry bucket cache for O(1) workstream routing. A rebalancer daemon redistributes buckets when nodes join or leave.

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, with adapters for Slack/Teams planned)
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 adapter + 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.md

Requirements

  • Python 3.11+
  • An OpenAI-compatible API endpoint or Anthropic 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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