langchain.utilities.awslambda.LambdaWrapper¶
class langchain.utilities.awslambda.LambdaWrapper[source]¶
Bases: BaseModel
Wrapper for AWS Lambda SDK.
To use, you should have the boto3 package installed
and a lambda functions built from the AWS Console or
CLI. Set up your AWS credentials with aws configure
Example
pip install boto3
aws configure
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 awslambda_tool_description: Optional[str] = None¶
If passing to an agent as a tool, the description
param awslambda_tool_name: Optional[str] = None¶
If passing to an agent as a tool, the tool name
param function_name: Optional[str] = None¶
The name of your lambda function
param lambda_client: Any = None¶
The configured boto3 client
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶
Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include