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feat(vertex_httpx.py): Support gemini 'response_schema' param
Fixes https://github.com/BerriAI/litellm/pull/3366#issuecomment-2269183338
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2 changed files with 10 additions and 4 deletions
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@ -182,7 +182,12 @@ class GoogleAIStudioGeminiConfig: # key diff from VertexAI - 'frequency_penalty
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if param == "max_tokens":
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optional_params["max_output_tokens"] = value
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if param == "response_format" and value["type"] == "json_object": # type: ignore
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optional_params["response_mime_type"] = "application/json"
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if value["type"] == "json_object": # type: ignore
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optional_params["response_mime_type"] = "application/json"
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elif value["type"] == "text": # type: ignore
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optional_params["response_mime_type"] = "text/plain"
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if "response_schema" in value: # type: ignore
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optional_params["response_schema"] = value["response_schema"] # type: ignore
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if param == "tools" and isinstance(value, list):
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gtool_func_declarations = []
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for tool in value:
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@ -903,10 +903,10 @@ from litellm.tests.test_completion import response_format_tests
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@pytest.mark.parametrize(
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"model",
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[
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# "vertex_ai/mistral-large@2407",
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# "vertex_ai/mistral-nemo@2407",
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"vertex_ai/mistral-large@2407",
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"vertex_ai/mistral-nemo@2407",
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"vertex_ai/codestral@2405",
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# "vertex_ai/meta/llama3-405b-instruct-maas",
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"vertex_ai/meta/llama3-405b-instruct-maas",
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], #
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) # "vertex_ai",
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@pytest.mark.parametrize(
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@ -1347,6 +1347,7 @@ def vertex_httpx_mock_post_invalid_schema_response_anthropic(*args, **kwargs):
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"model, vertex_location, supports_response_schema",
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[
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("vertex_ai_beta/gemini-1.5-pro-001", "us-central1", True),
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("gemini/gemini-1.5-pro", None, True),
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("vertex_ai_beta/gemini-1.5-flash", "us-central1", False),
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("vertex_ai/claude-3-5-sonnet@20240620", "us-east5", False),
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],
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