langchain_contrib.llms package

Subpackages

• langchain_contrib.llms.human package
  • Submodules
  • langchain_contrib.llms.human.llm module
  • langchain_contrib.llms.human.patchers module
  • Module contents

Submodules

langchain_contrib.llms.dummy module

A module for defining a dummy LLM.

class langchain_contrib.llms.dummy.DummyLanguageModel

Bases: BaseLanguageModel

A dummy LLM for when you need an LLM but don’t care for a real one.

You can use this instead of FakeLLM when you want to be sure the LLM is not actually getting called.

async agenerate_prompt(prompts: List[PromptValue], stop: List[str] | None = None, callbacks: List[BaseCallbackHandler] | BaseCallbackManager | None = None) → LLMResult

Error out asynchronously because this is a dummy LLM.

apredict(text: str, *, stop: Sequence[str] | None = None) → Coroutine[Any, Any, str]

Error out because this is a dummy LLM.

apredict_messages(messages: List[BaseMessage], *, stop: Sequence[str] | None = None) → Coroutine[Any, Any, BaseMessage]

Error out because this is a dummy LLM.

generate_prompt(prompts: List[PromptValue], stop: List[str] | None = None, callbacks: List[BaseCallbackHandler] | BaseCallbackManager | None = None) → LLMResult

Error out because this is a dummy LLM.

predict(text: str, *, stop: Sequence[str] | None = None) → str

Error out because this is a dummy LLM.

predict_messages(messages: List[BaseMessage], *, stop: Sequence[str] | None = None) → BaseMessage

Error out because this is a dummy LLM.

langchain_contrib.llms.testing module

Module contents