_generate() — langchain Function Reference
Architecture documentation for the _generate() function in test_tool_emulator.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 3f60de68_8c1e_bf29_b359_c9e0a34711fb["_generate()"] a98af8d5_63c2_d67d_53a0_06a07dcab577["FakeEmulatorModel"] 3f60de68_8c1e_bf29_b359_c9e0a34711fb -->|defined in| a98af8d5_63c2_d67d_53a0_06a07dcab577 style 3f60de68_8c1e_bf29_b359_c9e0a34711fb fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_emulator.py lines 91–100
def _generate(
self,
messages: list[BaseMessage],
stop: list[str] | None = None,
run_manager: Any = None,
**kwargs: Any,
) -> Any:
response = self.responses[self.response_index % len(self.responses)]
self.response_index += 1
return ChatResult(generations=[ChatGeneration(message=AIMessage(content=response))])
Domain
Subdomains
Defined In
Source
Frequently Asked Questions
What does _generate() do?
_generate() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_emulator.py.
Where is _generate() defined?
_generate() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_emulator.py at line 91.
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