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crewAI/lib
Lucas Gomide 44c95fbcb9 feat(otel): surface real finish_reason + sampling params + response.id on LLM events
Companion to the OTel GenAI emitter compliance work in crewai-enterprise
(CON-172). Today the enterprise emitter reads these fields off the OSS
LLM events via `getattr(..., None)`, so it produces valid (but partial)
spans against the existing OSS surface. This change makes those fields
first-class on the events so spans can carry the real provider data.

What this adds:

- `LLMCallStartedEvent` gains the sampling-param fields the emitter needs
  for `gen_ai.request.*`: `temperature`, `top_p`, `max_tokens`, `stream`,
  `seed`, `stop_sequences`, `frequency_penalty`, `presence_penalty`, `n`.
  All optional; existing call sites keep working.
- `BaseLLM._emit_call_started_event` introspects those values off `self`
  (the LLM instance) via `getattr(..., None)` so every provider gets the
  fields propagated for free without per-provider plumbing.
- `LLMCallCompletedEvent` gains `finish_reason: str | None` and
  `response_id: str | None`. A field validator coerces any non-string
  value (MagicMock, unexpected provider object) to None so the event
  never raises on construction.
- `LLM._emit_call_completed_event` accepts both as kwargs.
- `LLM` (LiteLLM path) gets a defensive `_extract_finish_reason_and_response_id`
  helper that handles both streaming (`StreamingChoices`) and non-streaming
  (`Choices`) shapes and is wired into every completion-event emission site.
- Provider completions extract native values from their SDK responses and
  pass them through:
  - OpenAI: `_extract_responses_finish_reason_and_id` for Responses-API,
    `_extract_finish_reason_and_id` for Chat-Completions.
  - Anthropic: `_extract_finish_reason_and_id` (Messages API + streaming).
  - Bedrock: `_extract_finish_reason_and_id` (`stopReason` from converse).
  - Gemini: `_extract_finish_reason_and_id` (`finish_reason` from candidates).
  - Azure: inherits via OpenAI sub-class; adds the helper for Azure-specific
    response shapes.
  - openai_compatible: inherits from OpenAICompletion, no edits needed.

Compatibility:

- All new fields are optional with sensible defaults. No existing call
  sites need to change.
- The validator on `LLMCallCompletedEvent` swallows non-string values for
  the new fields so legacy mocks / exotic provider types don't blow up
  event construction.
- Enterprise side already reads these fields defensively, so OSS and
  enterprise can merge independently and cut on the same synchronized
  release.

Tested against the full LLM + events + provider test suite — all green;
the 14 pre-existing multimodal failures on main are unrelated and
reproduce without this diff.
2026-05-27 18:12:37 -03:00
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