_generate() — langchain Function Reference
Architecture documentation for the _generate() function in test_history.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 3fca6306_e829_107e_b059_5c8f66b2aeea["_generate()"] 4e783b0f_b048_86db_19ed_af86b855def4["LengthChatModel"] 3fca6306_e829_107e_b059_5c8f66b2aeea -->|defined in| 4e783b0f_b048_86db_19ed_af86b855def4 style 3fca6306_e829_107e_b059_5c8f66b2aeea fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/tests/unit_tests/runnables/test_history.py lines 285–295
def _generate(
self,
messages: list[BaseMessage],
stop: list[str] | None = None,
run_manager: CallbackManagerForLLMRun | None = None,
**kwargs: Any,
) -> ChatResult:
"""Top Level call."""
return ChatResult(
generations=[ChatGeneration(message=AIMessage(content=str(len(messages))))]
)
Domain
Subdomains
Source
Frequently Asked Questions
What does _generate() do?
_generate() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/runnables/test_history.py.
Where is _generate() defined?
_generate() is defined in libs/core/tests/unit_tests/runnables/test_history.py at line 285.
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