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b60d4677cd
Vertex AI Gemma's chatCompletions wrapper does not understand the context_management parameter (an Anthropic / OpenAI Responses API concept). When callers route this field to a Gemma deployment (e.g. through allowed_openai_params or proxy passthrough), the upstream endpoint would reject the request with an unknown-field error. Drop context_management in VertexGemmaConfig.transform_request, matching the existing pattern used for stream and stream_options. Adds a direct transform_request unit test plus an acompletion-level test that exercises the realistic allowed_openai_params path. Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> |
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| .. | ||
| context_caching | ||
| files | ||
| gemini | ||
| gemini_embeddings | ||
| image_edit | ||
| image_generation | ||
| multimodal_embeddings | ||
| realtime | ||
| rerank | ||
| vertex_ai_partner_models | ||
| vertex_gemma_models | ||
| videos | ||
| __init__.py | ||
| test_bge_embedding.py | ||
| test_bge_response_transformation.py | ||
| test_gemini_empty_properties.py | ||
| test_gemini_header_forwarding.py | ||
| test_http_status_201.py | ||
| test_vertex.py | ||
| test_vertex_ai_batch_transformation.py | ||
| test_vertex_ai_common_utils.py | ||
| test_vertex_ai_psc_endpoint_support.py | ||
| test_vertex_ai_search_vector_store_transformation.py | ||
| test_vertex_gemini_gcs_uri_mime.py | ||
| test_vertex_global_url_support.py | ||
| test_vertex_image_generation.py | ||
| test_vertex_llm_base.py | ||
| test_vertex_model_garden_openapi.py | ||