feat: Add support for structured output (response_format) in GoogleGenAIChatGenerator#2946
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anakin87 merged 6 commits intodeepset-ai:mainfrom Mar 12, 2026
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…/generators/google_genai/chat/utils.py Co-authored-by: Stefano Fiorucci <stefanofiorucci@gmail.com>
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…/generators/google_genai/chat/utils.py
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Related Issues
Proposed Changes:
Add support for response_format in GoogleGenAIChatGenerator's generation_kwargs, enabling structured output with cross-provider portability (matching the OpenAI integration's API)
How did you test it?
Unit tests (test_chat_generator_utils.py): test_process_response_format covers Pydantic model, dict schema, missing key, native key precedence, unsupported type error, and input immutability.
Unit tests (test_chat_generator.py):
test_to_dict_with_response_format_pydantic, test_to_dict_with_response_format_dict, and test_serde_with_response_format for serialization/deserialization.
Integration tests (test_chat_generator.py):
test_live_run_with_structured_output_pydantic, test_live_run_with_structured_output_dict_schema (sync), and test_live_run_async_with_structured_output (async), all verified with a Google Studio API key
Notes for the reviewer
Google's SDK natively accepts Pydantic BaseModel classes for response_schema, so no manual JSON schema conversion is needed at runtime — only for serialization in to_dict().
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