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    Pythonlangchain-corerunnablesbaseRunnableEachBase
    Class●Since v0.1

    RunnableEachBase

    RunnableEachBase class.

    Runnable that calls another Runnable for each element of the input sequence.

    Use only if creating a new RunnableEach subclass with different __init__ args.

    See documentation for RunnableEach for more details.

    Copy
    RunnableEachBase(
        self,
        *args: Any = (),
        **kwargs: Any = {},
    )

    Bases

    RunnableSerializable[list[Input], list[Output]]

    Attributes

    attribute
    bound: Runnable[Input, Output]
    attribute
    model_config
    attribute
    InputType: Any
    attribute
    OutputType: type[list[Output]]
    attribute
    config_specs: list[ConfigurableFieldSpec]

    Methods

    method
    get_input_schema
    method
    get_output_schema
    method
    get_graph
    method
    is_lc_serializable

    Return True as this class is serializable.

    method
    get_lc_namespace

    Get the namespace of the LangChain object.

    method
    invoke
    method
    ainvoke
    method
    astream_events

    Inherited fromRunnableSerializable

    Attributes

    Aname: str
    —

    The name of the function.

    Methods

    Mto_json
    —

    Convert the graph to a JSON-serializable format.

    Mconfigurable_fieldsMconfigurable_alternatives
    —

    Configure alternatives for Runnable objects that can be set at runtime.

    Inherited fromSerializable

    Attributes

    Alc_secrets: dict[str, str]
    —

    A map of constructor argument names to secret ids.

    Alc_attributes: dict
    —

    List of attribute names that should be included in the serialized kwargs.

    Methods

    Mlc_id
    —

    Return a unique identifier for this class for serialization purposes.

    Mto_json
    —

    Convert the graph to a JSON-serializable format.

    Mto_json_not_implemented
    —

    Serialize a "not implemented" object.

    Inherited fromRunnable

    Attributes

    Aname: str
    —

    The name of the function.

    Ainput_schema: type[BaseModel]
    —

    The type of input this Runnable accepts specified as a Pydantic model.

    Aoutput_schema: type[BaseModel]
    —

    Output schema.

    Methods

    Mget_nameMget_input_jsonschema
    —

    Get a JSON schema that represents the input to the Runnable.

    Mget_output_jsonschema
    —

    Get a JSON schema that represents the output of the Runnable.

    Mconfig_schema
    —

    The type of config this Runnable accepts specified as a Pydantic model.

    Mget_config_jsonschema
    —

    Get a JSON schema that represents the config of the Runnable.

    Mget_prompts
    —

    Return a list of prompts used by this Runnable.

    Mpipe
    —

    Pipe Runnable objects.

    Mpick
    —

    Pick keys from the output dict of this Runnable.

    Massign
    —

    Merge the Dict input with the output produced by the mapping argument.

    MbatchMbatch_as_completed
    —

    Run invoke in parallel on a list of inputs.

    MabatchMabatch_as_completed
    —

    Run ainvoke in parallel on a list of inputs.

    MstreamMastreamMastream_log
    —

    Stream all output from a Runnable, as reported to the callback system.

    MtransformMatransformMbind
    —

    Bind arguments to a Runnable, returning a new Runnable.

    Mwith_configMwith_listeners
    —

    Bind lifecycle listeners to a Runnable, returning a new Runnable.

    Mwith_alisteners
    —

    Bind async lifecycle listeners to a Runnable.

    Mwith_types
    —

    Bind input and output types to a Runnable, returning a new Runnable.

    Mwith_retry
    —

    Create a new Runnable that retries the original Runnable on exceptions.

    Mmap
    —

    Map a function to multiple iterables.

    Mwith_fallbacks
    —

    Add fallbacks to a Runnable, returning a new Runnable.

    Mas_tool
    —

    Create a BaseTool from a Runnable.

    View source on GitHub