langchain.schema.output.GenerationChunk

class langchain.schema.output.GenerationChunk(*, text: str, generation_info: Optional[Dict[str, Any]] = None)[source]

Bases: Generation

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

param generation_info: Optional[Dict[str, Any]] = None

Raw response from the provider. May include things like the reason for finishing or token log probabilities.

param text: str [Required]

Generated text output.

to_json() Union[SerializedConstructor, SerializedNotImplemented]
to_json_not_implemented() SerializedNotImplemented
property lc_attributes: Dict

Return a list of attribute names that should be included in the serialized kwargs. These attributes must be accepted by the constructor.

property lc_namespace: List[str]

Return the namespace of the langchain object. eg. [“langchain”, “llms”, “openai”]

property lc_secrets: Dict[str, str]

Return a map of constructor argument names to secret ids. eg. {“openai_api_key”: “OPENAI_API_KEY”}

property lc_serializable: bool

Whether this class is LangChain serializable.

model Config

Bases: object

extra = 'ignore'