fix(models): populate model_version on AnthropicLlm responses - #6850
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omar-infinitusai wants to merge 2 commits into
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fix(models): populate model_version on AnthropicLlm responses#6850omar-infinitusai wants to merge 2 commits into
omar-infinitusai wants to merge 2 commits into
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message_to_generate_content_response() and the streaming message_start handler never read the Anthropic Message.model field, so every LlmResponse AnthropicLlm produced had model_version=None. Other first-party model wrappers (google_llm, lite_llm, apigee_llm) already set this from their respective API responses; AnthropicLlm was the one path where it stayed null, which meant DatabaseSessionService- persisted events and the gen_ai.response.model telemetry attribute had no way to tell which resolved Claude snapshot served a turn. Set model_version=message.model in the non-streaming path. On the streaming path, thread event.message.model through to every yielded LlmResponse, partials included, matching lite_llm.py's parity between partial and final responses. Add real assertions on model_version for both paths (non-streaming and streaming, partial and final), not just the mock plumbing needed to give MagicMock.model a string value. Fixes google#6847
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Link to Issue or Description of Change
1. Link to an existing issue (if applicable):
Problem:
AnthropicLlmnever setsLlmResponse.model_version. The Anthropic APIreturns the resolved model snapshot on every response (
Message.model), butneither the non-streaming nor the streaming path reads it. Every other model
wrapper (
google_llm.py,lite_llm.py,apigee_llm.py) already populatesthis field.
Solution:
Set
model_version=message.modelinmessage_to_generate_content_response(),and thread
event.message.modelthrough the streaming path to every yieldedLlmResponse, partials included, matchinglite_llm.py's parity there.Testing Plan
Unit Tests:
Added two tests that assert on
model_versiondirectly (not just mockplumbing): one for the non-streaming response, one covering both a partial
and the final streaming response.
Manual End-to-End (E2E) Tests:
Run against the live Anthropic API by building and running package locally in an existing application.
Checklist