* feat(runtime): add P0 per-LLM-call telemetry and summarization no-op counter
Measurement only; no runtime behavior changes.
- RunJournal enriches llm.ai.response / llm.error metadata with
langchain_run_id, caller_category, provider, model, stop_reason, status,
token counts and rendered request size (chars). Unavailable values are None.
- Summarization middleware emits a middleware:summarize event per summarizer
call and counts outputs identical to the prior summary_text. The call is
never skipped.
- All telemetry fails soft.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
* fix(runtime): register summarize middleware tag, document telemetry contract
- Add MIDDLEWARE_SUMMARIZE_TAG to the middleware event catalog and the
contract's known_tags; emit the middleware:summarize event with it.
- Document the optional per-call telemetry metadata on llm.ai.response and
llm.error in contracts/run_event_stream_contract.json.
- Measure request size by walking string leaves instead of json.dumps on the
event-loop thread.
- Initialise summarization call/no-op counters in __init__.
- Move RunJournal telemetry docs to the runtime guide.
- Add tests: llm.error without a start, replayed on_llm_end, and a DB-store
metadata round trip.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
* fix(runtime): refresh token counters on usage replay
---------
Co-authored-by: Claude Sonnet 5.5 <noreply@anthropic.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
