AI metadata and api prompt results data capture now fixed

tests/integration/test_pipeline_flow.py

@@ -76,6 +76,8 @@ class TestPipelineSuccessFlow:
                 provider="openrouter",
                 model="test-model",
                 prompt_name="transcribe_document.md",
+                ai_metadata={"finish_reason": "stop", "usage": {"total_tokens": 42}},
+                raw_api_response={"id": "resp_123", "choices": [{"message": {"content": "Pipeline transcript"}}]},
             )
 
         monkeypatch.setattr(
@@ -94,6 +96,11 @@ class TestPipelineSuccessFlow:
         assert job is not None
         assert job.status == JobStatus.TRANSCRIBED
         assert any(job_source.raw_transcription == "Pipeline transcript" for job_source in job.job_sources)
+        assert any(job_source.ai_metadata == {"finish_reason": "stop", "usage": {"total_tokens": 42}} for job_source in job.job_sources)
+        assert any(
+            job_source.raw_api_response == {"id": "resp_123", "choices": [{"message": {"content": "Pipeline transcript"}}]}
+            for job_source in job.job_sources
+        )
         assert all(job_source.error_detail is None for job_source in job.job_sources)
 
     @pytest.mark.asyncio