batch() — langchain Function Reference
Architecture documentation for the batch() function in fake_chat_models.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD ec7774b7_3b24_eaec_9e61_c48511b97ee7["batch()"] 2790c9e0_a72e_5aac_c2c7_6702139c50e3["FakeListChatModel"] ec7774b7_3b24_eaec_9e61_c48511b97ee7 -->|defined in| 2790c9e0_a72e_5aac_c2c7_6702139c50e3 style ec7774b7_3b24_eaec_9e61_c48511b97ee7 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/langchain_core/language_models/fake_chat_models.py lines 158–171
def batch(
self,
inputs: list[Any],
config: RunnableConfig | list[RunnableConfig] | None = None,
*,
return_exceptions: bool = False,
**kwargs: Any,
) -> list[AIMessage]:
if isinstance(config, list):
return [
self.invoke(m, c, **kwargs)
for m, c in zip(inputs, config, strict=False)
]
return [self.invoke(m, config, **kwargs) for m in inputs]
Domain
Subdomains
Source
Frequently Asked Questions
What does batch() do?
batch() is a function in the langchain codebase, defined in libs/core/langchain_core/language_models/fake_chat_models.py.
Where is batch() defined?
batch() is defined in libs/core/langchain_core/language_models/fake_chat_models.py at line 158.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free