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* 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>