test_multi_party_conversation() — langchain Function Reference
Architecture documentation for the test_multi_party_conversation() function in test_base.py from the langchain codebase.
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Dependency Diagram
graph TD 2c568368_bdb7_ae5c_0996_e82449a61a49["test_multi_party_conversation()"] bd382a4e_442c_13ae_530c_6e34bc43623d["test_base.py"] 2c568368_bdb7_ae5c_0996_e82449a61a49 -->|defined in| bd382a4e_442c_13ae_530c_6e34bc43623d style 2c568368_bdb7_ae5c_0996_e82449a61a49 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/openai/tests/integration_tests/chat_models/test_base.py lines 1091–1099
def test_multi_party_conversation() -> None:
llm = ChatOpenAI(model="gpt-5-nano")
messages = [
HumanMessage("Hi, I have black hair.", name="Alice"),
HumanMessage("Hi, I have brown hair.", name="Bob"),
HumanMessage("Who just spoke?", name="Charlie"),
]
response = llm.invoke(messages)
assert "Bob" in response.content
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Frequently Asked Questions
What does test_multi_party_conversation() do?
test_multi_party_conversation() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/chat_models/test_base.py.
Where is test_multi_party_conversation() defined?
test_multi_party_conversation() is defined in libs/partners/openai/tests/integration_tests/chat_models/test_base.py at line 1091.
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