test_no_duplicate_tool_calls_when_multiple_tools() — langchain Function Reference
Architecture documentation for the test_no_duplicate_tool_calls_when_multiple_tools() function in test_chat_models.py from the langchain codebase.
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Dependency Diagram
graph TD fdb05c42_026c_c41f_98f7_a4c632b91c1d["test_no_duplicate_tool_calls_when_multiple_tools()"] aaa4b344_20ed_7fa3_4067_f8f05affc01f["test_chat_models.py"] fdb05c42_026c_c41f_98f7_a4c632b91c1d -->|defined in| aaa4b344_20ed_7fa3_4067_f8f05affc01f style fdb05c42_026c_c41f_98f7_a4c632b91c1d fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/partners/mistralai/tests/unit_tests/test_chat_models.py lines 374–404
def test_no_duplicate_tool_calls_when_multiple_tools() -> None:
"""
Tests whether the conversion of an AIMessage with more than one tool call
to a Mistral assistant message correctly returns each tool call exactly
once in the final payload.
The current implementation uses a faulty for loop which produces N*N entries in the
final tool_calls array of the payload (and thus duplicates tool call ids).
"""
msg = AIMessage(
content="", # content should be blank when tool_calls are present
tool_calls=[
ToolCall(name="tool_a", args={"x": 1}, id="id_a", type="tool_call"),
ToolCall(name="tool_b", args={"y": 2}, id="id_b", type="tool_call"),
],
response_metadata={"model_provider": "mistralai"},
)
mistral_msg = _convert_message_to_mistral_chat_message(msg)
assert mistral_msg["role"] == "assistant"
assert "tool_calls" in mistral_msg, "Expected tool_calls to be present."
tool_calls = mistral_msg["tool_calls"]
# With the bug, this would be 4 (2x2); we expect exactly 2 entries.
assert len(tool_calls) == 2, f"Expected 2 tool calls, got {len(tool_calls)}"
# Ensure there are no duplicate ids
ids = [tc.get("id") for tc in tool_calls if isinstance(tc, dict)]
assert len(ids) == 2
assert len(set(ids)) == 2, f"Duplicate tool call IDs found: {ids}"
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Frequently Asked Questions
What does test_no_duplicate_tool_calls_when_multiple_tools() do?
test_no_duplicate_tool_calls_when_multiple_tools() is a function in the langchain codebase, defined in libs/partners/mistralai/tests/unit_tests/test_chat_models.py.
Where is test_no_duplicate_tool_calls_when_multiple_tools() defined?
test_no_duplicate_tool_calls_when_multiple_tools() is defined in libs/partners/mistralai/tests/unit_tests/test_chat_models.py at line 374.
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