v0.2.0

0.2.0 - 2026-08-08

Added

• core.verify tool checking agenticlens, agentic-chaos, and ai-operations-spec connectivity.
• core.session_state tool exposing the in-memory session's stored artifacts and call history.
• In-memory session store (services/session.py) so lens.analyze_workflow -> lens.report_summary
  -> lens.compare_runs -> chaos.run_experiment can share artifacts without the client resending
  them; tools accept an optional session_id argument.
• lens.report_summary tool rendering a Markdown workflow report via AgenticLens's MarkdownExporter.
• lens.compare_runs tool wrapping AgenticLens's baseline/candidate trace comparison and regression
  detection.
• lens.slo_summary tool applying release-gate style SLO thresholds to an evaluation report.
• lens.audit_report tool returning case-by-case evaluation detail, optionally with an HTML report.
• chaos.run_experiment tool running a workspace-sandboxed target script inside a chaos session and
  reporting the resulting fault events (mirrors the agentic-chaos CLI's chaos run).
• examples/chaos_target.py, a minimal chaos_call()-instrumented script for chaos.run_experiment.
• Real prompts/list and prompts/get handlers, with prompt arguments and rendered templates
  (previously the prompt registry existed but was never wired into the server).
• Tool metadata (category, prerequisites, expected_duration, mutates_session) on every tool,
  surfaced to MCP hosts via Tool.annotations/Tool._meta.
• core.health now returns adapter availability/version, loaded tool/resource/prompt counts, the
  resolved workspace root, and recent successful-call timestamps, instead of just {"status": "ok"}.
• docs/tools.md, a generated tool reference (name, description, category, prerequisites, expected
  duration, mutation/side-effect flags, and full input schema per tool) produced by
  scripts/generate_tools_doc.py from tools/registry.py, so it can't drift out of sync with what
  tools/list actually returns. make docs regenerates it; make docs-check fails if it's stale.

Changed

• Adapters (adapters/agenticlens.py, adapters/agentic_chaos.py, adapters/ai_operations_spec.py)
  now import their sibling repo defensively: a missing/broken sibling no longer crashes server boot,
  it surfaces as "available": false through core.verify/core.health and a structured tool error.

Fixed

• chaos.run_experiment's timeout_seconds now actually bounds wall-clock time. It previously ran
  the worker thread inside a with ThreadPoolExecutor(...) block, whose __exit__ calls
  shutdown(wait=True) and blocked for the thread to finish regardless of the timeout having already
  fired.
• server.py no longer indexes SCHEMA_DOCUMENTS directly when building the schemas resources
  (SCHEMA_DOCUMENTS["workflow.schema.json"], etc.); a missing/broken ai-operations-spec sibling
  used to raise KeyError at import time, crashing server boot before core.verify could report it
  as unavailable. ai_operations_spec.py now exposes schema_resource_content()/
  list_schema_resources() that both derive from what actually loaded, so resources/list and
  resources/read degrade consistently with everything else.
• examples/sample_workflow.json previously failed Workflow validation outright (missing
  start_time) and was too thin to exercise the recommendation engine even if fixed. It's now a
  valid, richer workflow (6 steps, real metrics) that produces real lens.analyze_workflow/
  lens.report_summary recommendations (excessive retrieved chunks, a duplicate tool call, long
  conversation history) instead of an empty or erroring result.
• handle_call_tool now catches any exception a tool handler raises (e.g. a pydantic
  ValidationError from malformed workflow/run input) and returns a structured
  {"ok": false, "error": ...} payload instead of letting it propagate past the MCP dispatch boundary.