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test__convert_dict_to_message_tool_call() — langchain Function Reference

Architecture documentation for the test__convert_dict_to_message_tool_call() function in test_chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  271c3109_adcc_d41a_341a_5db43be48fda["test__convert_dict_to_message_tool_call()"]
  5bf2e477_37e0_3e98_4042_bc609f2f7f60["test_chat_models.py"]
  271c3109_adcc_d41a_341a_5db43be48fda -->|defined in| 5bf2e477_37e0_3e98_4042_bc609f2f7f60
  style 271c3109_adcc_d41a_341a_5db43be48fda fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/groq/tests/unit_tests/test_chat_models.py lines 70–139

def test__convert_dict_to_message_tool_call() -> None:
    raw_tool_call = {
        "id": "call_wm0JY6CdwOMZ4eTxHWUThDNz",
        "function": {
            "arguments": '{"name":"Sally","hair_color":"green"}',
            "name": "GenerateUsername",
        },
        "type": "function",
    }
    message = {"role": "assistant", "content": None, "tool_calls": [raw_tool_call]}
    result = _convert_dict_to_message(message)
    expected_output = AIMessage(
        content="",
        additional_kwargs={"tool_calls": [raw_tool_call]},
        tool_calls=[
            ToolCall(
                name="GenerateUsername",
                args={"name": "Sally", "hair_color": "green"},
                id="call_wm0JY6CdwOMZ4eTxHWUThDNz",
                type="tool_call",
            )
        ],
        response_metadata={"model_provider": "groq"},
    )
    assert result == expected_output

    # Test malformed tool call
    raw_tool_calls = [
        {
            "id": "call_wm0JY6CdwOMZ4eTxHWUThDNz",
            "function": {
                "arguments": "oops",
                "name": "GenerateUsername",
            },
            "type": "function",
        },
        {
            "id": "call_abc123",
            "function": {
                "arguments": '{"name":"Sally","hair_color":"green"}',
                "name": "GenerateUsername",
            },
            "type": "function",
        },
    ]
    message = {"role": "assistant", "content": None, "tool_calls": raw_tool_calls}
    result = _convert_dict_to_message(message)
    expected_output = AIMessage(
        content="",
        additional_kwargs={"tool_calls": raw_tool_calls},
        invalid_tool_calls=[
            InvalidToolCall(
                name="GenerateUsername",
                args="oops",
                id="call_wm0JY6CdwOMZ4eTxHWUThDNz",
                error="Function GenerateUsername arguments:\n\noops\n\nare not valid JSON. Received JSONDecodeError Expecting value: line 1 column 1 (char 0)\nFor troubleshooting, visit: https://docs.langchain.com/oss/python/langchain/errors/OUTPUT_PARSING_FAILURE ",  # noqa: E501
                type="invalid_tool_call",
            ),
        ],
        tool_calls=[
            ToolCall(
                name="GenerateUsername",
                args={"name": "Sally", "hair_color": "green"},
                id="call_abc123",
                type="tool_call",
            ),
        ],
        response_metadata={"model_provider": "groq"},
    )
    assert result == expected_output

Domain

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Defined In

Source

Frequently Asked Questions

What does test__convert_dict_to_message_tool_call() do?
test__convert_dict_to_message_tool_call() is a function in the langchain codebase, defined in libs/partners/groq/tests/unit_tests/test_chat_models.py.
Where is test__convert_dict_to_message_tool_call() defined?
test__convert_dict_to_message_tool_call() is defined in libs/partners/groq/tests/unit_tests/test_chat_models.py at line 70.

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