langchain_community.llms.bedrock.LLMInputOutputAdapter¶

class langchain_community.llms.bedrock.LLMInputOutputAdapter[source]¶

Adapter class to prepare the inputs from Langchain to a format that LLM model expects.

It also provides helper function to extract the generated text from the model response.

Attributes

provider_to_output_key_map

Methods

__init__()

aprepare_output_stream(provider, response[, ...])

prepare_input(provider, model_kwargs[, ...])

prepare_output(provider, response)

prepare_output_stream(provider, response[, ...])

__init__()¶
classmethod aprepare_output_stream(provider: str, response: Any, stop: Optional[List[str]] = None) → AsyncIterator[GenerationChunk][source]¶
Parameters

  • provider (str) –

  • response (Any) –

  • stop (Optional[List[str]]) –

Return type

AsyncIterator[GenerationChunk]

classmethod prepare_input(provider: str, model_kwargs: Dict[str, Any], prompt: Optional[str] = None, system: Optional[str] = None, messages: Optional[List[Dict]] = None) → Dict[str, Any][source]¶
Parameters

  • provider (str) –

  • model_kwargs (Dict[str, Any]) –

  • prompt (Optional[str]) –

  • system (Optional[str]) –

  • messages (Optional[List[Dict]]) –

Return type

Dict[str, Any]

classmethod prepare_output(provider: str, response: Any) → dict[source]¶
Parameters

  • provider (str) –

  • response (Any) –

Return type

dict

classmethod prepare_output_stream(provider: str, response: Any, stop: Optional[List[str]] = None, messages_api: bool = False) → Iterator[GenerationChunk][source]¶
Parameters

  • provider (str) –

  • response (Any) –

  • stop (Optional[List[str]]) –

  • messages_api (bool) –

Return type

Iterator[GenerationChunk]