Shadow mode, framework adapters, limits, a decision server and MCP tools.

0.3.0 - 2026-09-25

Shadow mode, framework adapters, limits, a decision server and MCP tools.

Added

• Shadow mode (thinkless.shadow): run a candidate engine next to existing
  decision code without changing what it returns, log both answers, and
  report agreement with a 95% interval, the share settled without an LLM,
  cost and latency on both sides, thresholds fitted on production traffic,
  and a verdict per question (thinkless shadow report). Disagreements
  export as labeling rows (thinkless shadow export). The same class audits
  a live engine against an LLM.
• Framework adapters (thinkless.integrations): a LangGraph router, decision
  node and async decision node; OpenAI Agents SDK input guardrails, tool input
  guardrails and route_agent; and framework-neutral Router, route and
  gate, tested with LangChain tools and Pydantic AI. Extras langgraph and
  openai-agents.
• Engine deadlines (deadline_ms on the engine and per call), spend limits
  (SpendLimit, lifetime or rolling window) and per-run caps
  (engine.run(..., max_cost_usd=...)). Skipped providers are recorded with
  reason deadline or spend_limit.
• A decision server (thinkless serve, thinkless.server.app.create_app)
  with /v1/decide and a System One compatible /v1/systemone, so another
  engine's SystemOne provider, or TypeSafe's SDK, can use it. Extra
  server.
• MCP tools (thinkless mcp, thinkless.server.mcp.create_mcp_server): one
  decide_<question> tool per registered question. Extra mcp.
• thinkless trace export turns traced decisions into labeling rows, and
  thinkless trace drift compares two periods and exits with 1 when a
  question drifted.
• question_from_spec rebuilds a question from its spec.
• Docs: an integrations section, a migration guide, shadow mode, serving,
  a pilot playbook and a FAQ, published to GitHub Pages by a new workflow.