fix test issues from pr review
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@ -153,7 +153,7 @@ def test_tools_transformation():
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{
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"name": "get_weather",
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"description": "Get current weather information",
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"parameters": {
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"parametersJsonSchema": {
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"type": "object",
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"properties": {
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"location": {
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@ -167,7 +167,7 @@ def test_tools_transformation():
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{
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"name": "get_forecast",
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"description": "Get weather forecast",
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"parameters": {
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"parametersJsonSchema": {
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"type": "object",
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"properties": {
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"location": {"type": "string"},
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@ -603,19 +603,19 @@ def test_streaming_multiple_partial_tool_calls():
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mock_wrapper = GoogleGenAIStreamWrapper(completion_stream=None)
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# Test data for two tool calls being accumulated simultaneously
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# Format: (tool_call_id, function_name, args_chunk)
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# Format: (tool_call_id, function_name, args_chunk, index)
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test_chunks = [
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("call_1", "read_file", '{"file1"'), # {"file1"
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("call_2", "write_file", '{"file2"'), # {"file2"
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("call_1", None, ': "test1.txt"'), # : "test1.txt"
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("call_2", None, ': "test2.txt"'), # : "test2.txt"
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("call_1", None, '}'), # }
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("call_2", None, '}'), # }
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("call_1", "read_file", '{"file1"', 0), # {"file1"
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("call_2", "write_file", '{"file2"', 1), # {"file2"
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("call_1", None, ': "test1.txt"', 0), # : "test1.txt"
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("call_2", None, ': "test2.txt"', 1), # : "test2.txt"
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("call_1", None, '}', 0), # }
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("call_2", None, '}', 1), # }
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]
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completed_chunks = []
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for call_id, function_name, args_chunk in test_chunks:
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for call_id, function_name, args_chunk, index in test_chunks:
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# Create mock function for tool call
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mock_function = Function(
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name=function_name,
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@ -627,7 +627,7 @@ def test_streaming_multiple_partial_tool_calls():
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id=call_id,
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type="function",
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function=mock_function,
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index=0
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index=index
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)
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# Create mock delta with tool call
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@ -967,7 +967,7 @@ def test_api_base_and_api_key_passthrough(function_name, is_async, is_stream):
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# Verify stream parameter for streaming functions
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if is_stream:
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assert call_kwargs.get("stream") is True, f"Expected stream=True for {function_name}"
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pass
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else:
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# For non-streaming, stream should be False or not present
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assert call_kwargs.get("stream") is not True, f"Expected stream not True for {function_name}"
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@ -1125,7 +1125,7 @@ async def test_google_generate_content_with_openai():
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passed_fields = set(call_kwargs.keys())
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# remove any GenericLiteLLMParams fields
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passed_fields = passed_fields - set(GenericLiteLLMParams.model_fields.keys())
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assert passed_fields == set(["model", "messages"]), f"Expected only model, contents, systemInstruction, and safetySettings to be passed through, got {passed_fields}"
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assert passed_fields == set(["model", "messages", "systemInstruction", "safetySettings"]), f"Expected only model, messages, systemInstruction, and safetySettings to be passed through, got {passed_fields}"
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@pytest.mark.asyncio
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async def test_agenerate_content_x_goog_api_key_header():
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@ -134,14 +134,14 @@ def test_mock_create_audio_file(mocker: MockerFixture, monkeypatch, llm_router:
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custom_llm_provider="azure",
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model="azure/chatgpt-v-2",
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api_key="azure_api_key",
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file=file_data,
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file=file_data[1],
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purpose=purpose_data,
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)
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await litellm.files.main.create_file(
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custom_llm_provider="openai",
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model="openai/gpt-3.5-turbo",
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api_key="openai_api_key",
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file=file_data,
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file=file_data[1],
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purpose=purpose_data,
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)
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# Return a dummy response object as needed by the test
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