@langchain/core/dist/runnables/base.d.ts.map

Core LangChain.js abstractions and schemas

{"version":3,"file":"base.d.ts","names":["TraceableFunction","RunnableInterface","RunnableBatchOptions","RunnableConfig","CallbackManagerForChainRun","LogStreamCallbackHandler","LogStreamCallbackHandlerInput","RunLogPatch","EventStreamCallbackHandlerInput","StreamEvent","Serializable","IterableReadableStream","Run","Graph","ToolCall","InferInteropZodOutput","InteropZodType","RunnableFunc","RunInput","RunOutput","CallOptions","Record","Promise","RunnableMapLike","K","RunnableLike","RunnableRetryFailedAttemptHandler","_coerceToDict","Runnable","O","T","I","NewRunOutput","Partial","RunnableRetry","RunnableWithFallbacks","Error","AsyncGenerator","Omit","Exclude","Uint8Array","onStart","onEnd","onError","RunnableToolLike","RunnableBindingArgs","Array","RunnableBinding","Awaited","RunnableEach","RunInputItem","RunOutputItem","ReturnExceptions","RunnableSequenceFields","RunnableSequence","RunnableMap","AnyTraceableFunction","RunnableTraceable","RunnableLambda","RunnableParallel","Generator","_coerceToRunnable","RunnableAssignFields","RunnableAssign","RunnablePickFields","RunnablePick","RunnableToolLikeArgs","convertRunnableToTool"],"sources":["../../src/runnables/base.d.ts"],"sourcesContent":["import { type TraceableFunction } from \"langsmith/singletons/traceable\";\nimport type { RunnableInterface, RunnableBatchOptions, RunnableConfig } from \"./types.js\";\nimport { CallbackManagerForChainRun } from \"../callbacks/manager.js\";\nimport { LogStreamCallbackHandler, LogStreamCallbackHandlerInput, RunLogPatch } from \"../tracers/log_stream.js\";\nimport { EventStreamCallbackHandlerInput, StreamEvent } from \"../tracers/event_stream.js\";\nimport { Serializable } from \"../load/serializable.js\";\nimport { IterableReadableStream } from \"../utils/stream.js\";\nimport { Run } from \"../tracers/base.js\";\nimport { Graph } from \"./graph.js\";\nimport { ToolCall } from \"../messages/tool.js\";\nimport { InferInteropZodOutput, InteropZodType } from \"../utils/types/zod.js\";\nexport { type RunnableInterface, RunnableBatchOptions };\nexport type RunnableFunc<RunInput, RunOutput, CallOptions extends RunnableConfig = RunnableConfig> = (input: RunInput, options: CallOptions | Record<string, any> | (Record<string, any> & CallOptions)) => RunOutput | Promise<RunOutput>;\nexport type RunnableMapLike<RunInput, RunOutput> = {\n    [K in keyof RunOutput]: RunnableLike<RunInput, RunOutput[K]>;\n};\nexport type RunnableLike<RunInput = any, RunOutput = any, CallOptions extends RunnableConfig = RunnableConfig> = RunnableInterface<RunInput, RunOutput, CallOptions> | RunnableFunc<RunInput, RunOutput, CallOptions> | RunnableMapLike<RunInput, RunOutput>;\nexport type RunnableRetryFailedAttemptHandler = (error: any, input: any) => any;\nexport declare function _coerceToDict(value: any, defaultKey: string): any;\n/**\n * A Runnable is a generic unit of work that can be invoked, batched, streamed, and/or\n * transformed.\n */\nexport declare abstract class Runnable<RunInput = any, RunOutput = any, CallOptions extends RunnableConfig = RunnableConfig> extends Serializable implements RunnableInterface<RunInput, RunOutput, CallOptions> {\n    protected lc_runnable: boolean;\n    name?: string;\n    getName(suffix?: string): string;\n    abstract invoke(input: RunInput, options?: Partial<CallOptions>): Promise<RunOutput>;\n    /**\n     * Add retry logic to an existing runnable.\n     * @param fields.stopAfterAttempt The number of attempts to retry.\n     * @param fields.onFailedAttempt A function that is called when a retry fails.\n     * @returns A new RunnableRetry that, when invoked, will retry according to the parameters.\n     */\n    withRetry(fields?: {\n        stopAfterAttempt?: number;\n        onFailedAttempt?: RunnableRetryFailedAttemptHandler;\n    }): RunnableRetry<RunInput, RunOutput, CallOptions>;\n    /**\n     * Bind config to a Runnable, returning a new Runnable.\n     * @param config New configuration parameters to attach to the new runnable.\n     * @returns A new RunnableBinding with a config matching what's passed.\n     */\n    withConfig(config: Partial<CallOptions>): Runnable<RunInput, RunOutput, CallOptions>;\n    /**\n     * Create a new runnable from the current one that will try invoking\n     * other passed fallback runnables if the initial invocation fails.\n     * @param fields.fallbacks Other runnables to call if the runnable errors.\n     * @returns A new RunnableWithFallbacks.\n     */\n    withFallbacks(fields: {\n        fallbacks: Runnable<RunInput, RunOutput>[];\n    } | Runnable<RunInput, RunOutput>[]): RunnableWithFallbacks<RunInput, RunOutput>;\n    protected _getOptionsList<O extends CallOptions & {\n        runType?: string;\n    }>(options: Partial<O> | Partial<O>[], length?: number): Partial<O>[];\n    /**\n     * Default implementation of batch, which calls invoke N times.\n     * Subclasses should override this method if they can batch more efficiently.\n     * @param inputs Array of inputs to each batch call.\n     * @param options Either a single call options object to apply to each batch call or an array for each call.\n     * @param batchOptions.returnExceptions Whether to return errors rather than throwing on the first one\n     * @returns An array of RunOutputs, or mixed RunOutputs and errors if batchOptions.returnExceptions is set\n     */\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions?: false;\n    }): Promise<RunOutput[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions: true;\n    }): Promise<(RunOutput | Error)[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions): Promise<(RunOutput | Error)[]>;\n    /**\n     * Default streaming implementation.\n     * Subclasses should override this method if they support streaming output.\n     * @param input\n     * @param options\n     */\n    _streamIterator(input: RunInput, options?: Partial<CallOptions>): AsyncGenerator<RunOutput>;\n    /**\n     * Stream output in chunks.\n     * @param input\n     * @param options\n     * @returns A readable stream that is also an iterable.\n     */\n    stream(input: RunInput, options?: Partial<CallOptions>): Promise<IterableReadableStream<RunOutput>>;\n    protected _separateRunnableConfigFromCallOptions(options?: Partial<CallOptions>): [RunnableConfig, Omit<Partial<CallOptions>, keyof RunnableConfig>];\n    protected _callWithConfig<T extends RunInput>(func: ((input: T) => Promise<RunOutput>) | ((input: T, config?: Partial<CallOptions>, runManager?: CallbackManagerForChainRun) => Promise<RunOutput>), input: T, options?: Partial<CallOptions> & {\n        runType?: string;\n    }): Promise<RunOutput>;\n    /**\n     * Internal method that handles batching and configuration for a runnable\n     * It takes a function, input values, and optional configuration, and\n     * returns a promise that resolves to the output values.\n     * @param func The function to be executed for each input value.\n     * @param input The input values to be processed.\n     * @param config Optional configuration for the function execution.\n     * @returns A promise that resolves to the output values.\n     */\n    _batchWithConfig<T extends RunInput>(func: (inputs: T[], options?: Partial<CallOptions>[], runManagers?: (CallbackManagerForChainRun | undefined)[], batchOptions?: RunnableBatchOptions) => Promise<(RunOutput | Error)[]>, inputs: T[], options?: Partial<CallOptions & {\n        runType?: string;\n    }> | Partial<CallOptions & {\n        runType?: string;\n    }>[], batchOptions?: RunnableBatchOptions): Promise<(RunOutput | Error)[]>;\n    /** @internal */\n    _concatOutputChunks<O>(first: O, second: O): O;\n    /**\n     * Helper method to transform an Iterator of Input values into an Iterator of\n     * Output values, with callbacks.\n     * Use this to implement `stream()` or `transform()` in Runnable subclasses.\n     */\n    protected _transformStreamWithConfig<I extends RunInput, O extends RunOutput>(inputGenerator: AsyncGenerator<I>, transformer: (generator: AsyncGenerator<I>, runManager?: CallbackManagerForChainRun, options?: Partial<CallOptions>) => AsyncGenerator<O>, options?: Partial<CallOptions> & {\n        runType?: string;\n    }): AsyncGenerator<O>;\n    getGraph(_?: RunnableConfig): Graph;\n    /**\n     * Create a new runnable sequence that runs each individual runnable in series,\n     * piping the output of one runnable into another runnable or runnable-like.\n     * @param coerceable A runnable, function, or object whose values are functions or runnables.\n     * @returns A new runnable sequence.\n     */\n    pipe<NewRunOutput>(coerceable: RunnableLike<RunOutput, NewRunOutput>): Runnable<RunInput, Exclude<NewRunOutput, Error>>;\n    /**\n     * Pick keys from the dict output of this runnable. Returns a new runnable.\n     */\n    pick(keys: string | string[]): Runnable;\n    /**\n     * Assigns new fields to the dict output of this runnable. Returns a new runnable.\n     */\n    assign(mapping: RunnableMapLike<Record<string, unknown>, Record<string, unknown>>): Runnable;\n    /**\n     * Default implementation of transform, which buffers input and then calls stream.\n     * Subclasses should override this method if they can start producing output while\n     * input is still being generated.\n     * @param generator\n     * @param options\n     */\n    transform(generator: AsyncGenerator<RunInput>, options: Partial<CallOptions>): AsyncGenerator<RunOutput>;\n    /**\n     * Stream all output from a runnable, as reported to the callback system.\n     * This includes all inner runs of LLMs, Retrievers, Tools, etc.\n     * Output is streamed as Log objects, which include a list of\n     * jsonpatch ops that describe how the state of the run has changed in each\n     * step, and the final state of the run.\n     * The jsonpatch ops can be applied in order to construct state.\n     * @param input\n     * @param options\n     * @param streamOptions\n     */\n    streamLog(input: RunInput, options?: Partial<CallOptions>, streamOptions?: Omit<LogStreamCallbackHandlerInput, \"autoClose\">): AsyncGenerator<RunLogPatch>;\n    protected _streamLog(input: RunInput, logStreamCallbackHandler: LogStreamCallbackHandler, config: Partial<CallOptions>): AsyncGenerator<RunLogPatch>;\n    /**\n     * Generate a stream of events emitted by the internal steps of the runnable.\n     *\n     * Use to create an iterator over StreamEvents that provide real-time information\n     * about the progress of the runnable, including StreamEvents from intermediate\n     * results.\n     *\n     * A StreamEvent is a dictionary with the following schema:\n     *\n     * - `event`: string - Event names are of the format: on_[runnable_type]_(start|stream|end).\n     * - `name`: string - The name of the runnable that generated the event.\n     * - `run_id`: string - Randomly generated ID associated with the given execution of\n     *   the runnable that emitted the event. A child runnable that gets invoked as part of the execution of a\n     *   parent runnable is assigned its own unique ID.\n     * - `tags`: string[] - The tags of the runnable that generated the event.\n     * - `metadata`: Record<string, any> - The metadata of the runnable that generated the event.\n     * - `data`: Record<string, any>\n     *\n     * Below is a table that illustrates some events that might be emitted by various\n     * chains. Metadata fields have been omitted from the table for brevity.\n     * Chain definitions have been included after the table.\n     *\n     * **ATTENTION** This reference table is for the V2 version of the schema.\n     *\n     * ```md\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | event                | input                       | output/chunk                             |\n     * +======================+=============================+==========================================+\n     * | on_chat_model_start  | {\"messages\": BaseMessage[]} |                                          |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_chat_model_stream |                             | AIMessageChunk(\"hello\")                  |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_chat_model_end    | {\"messages\": BaseMessage[]} | AIMessageChunk(\"hello world\")            |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_llm_start         | {'input': 'hello'}          |                                          |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_llm_stream        |                             | 'Hello'                                  |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_llm_end           | 'Hello human!'              |                                          |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_chain_start       |                             |                                          |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_chain_stream      |                             | \"hello world!\"                           |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_chain_end         | [Document(...)]             | \"hello world!, goodbye world!\"           |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_tool_start        | {\"x\": 1, \"y\": \"2\"}          |                                          |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_tool_end          |                             | {\"x\": 1, \"y\": \"2\"}                       |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_retriever_start   | {\"query\": \"hello\"}          |                                          |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_retriever_end     | {\"query\": \"hello\"}          | [Document(...), ..]                      |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_prompt_start      | {\"question\": \"hello\"}       |                                          |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * | on_prompt_end        | {\"question\": \"hello\"}       | ChatPromptValue(messages: BaseMessage[]) |\n     * +----------------------+-----------------------------+------------------------------------------+\n     * ```\n     *\n     * The \"on_chain_*\" events are the default for Runnables that don't fit one of the above categories.\n     *\n     * In addition to the standard events above, users can also dispatch custom events.\n     *\n     * Custom events will be only be surfaced with in the `v2` version of the API!\n     *\n     * A custom event has following format:\n     *\n     * ```md\n     * +-----------+------+------------------------------------------------------------+\n     * | Attribute | Type | Description                                                |\n     * +===========+======+============================================================+\n     * | name      | str  | A user defined name for the event.                         |\n     * +-----------+------+------------------------------------------------------------+\n     * | data      | Any  | The data associated with the event. This can be anything.  |\n     * +-----------+------+------------------------------------------------------------+\n     * ```\n     *\n     * Here's an example:\n     *\n     * ```ts\n     * import { RunnableLambda } from \"@langchain/core/runnables\";\n     * import { dispatchCustomEvent } from \"@langchain/core/callbacks/dispatch\";\n     * // Use this import for web environments that don't support \"async_hooks\"\n     * // and manually pass config to child runs.\n     * // import { dispatchCustomEvent } from \"@langchain/core/callbacks/dispatch/web\";\n     *\n     * const slowThing = RunnableLambda.from(async (someInput: string) => {\n     *   // Placeholder for some slow operation\n     *   await new Promise((resolve) => setTimeout(resolve, 100));\n     *   await dispatchCustomEvent(\"progress_event\", {\n     *    message: \"Finished step 1 of 2\",\n     *  });\n     *  await new Promise((resolve) => setTimeout(resolve, 100));\n     *  return \"Done\";\n     * });\n     *\n     * const eventStream = await slowThing.streamEvents(\"hello world\", {\n     *   version: \"v2\",\n     * });\n     *\n     * for await (const event of eventStream) {\n     *  if (event.event === \"on_custom_event\") {\n     *    console.log(event);\n     *  }\n     * }\n     * ```\n     */\n    streamEvents(input: RunInput, options: Partial<CallOptions> & {\n        version: \"v1\" | \"v2\";\n    }, streamOptions?: Omit<EventStreamCallbackHandlerInput, \"autoClose\">): IterableReadableStream<StreamEvent>;\n    streamEvents(input: RunInput, options: Partial<CallOptions> & {\n        version: \"v1\" | \"v2\";\n        encoding: \"text/event-stream\";\n    }, streamOptions?: Omit<EventStreamCallbackHandlerInput, \"autoClose\">): IterableReadableStream<Uint8Array>;\n    private _streamEventsV2;\n    private _streamEventsV1;\n    static isRunnable(thing: any): thing is Runnable;\n    /**\n     * Bind lifecycle listeners to a Runnable, returning a new Runnable.\n     * The Run object contains information about the run, including its id,\n     * type, input, output, error, startTime, endTime, and any tags or metadata\n     * added to the run.\n     *\n     * @param {Object} params - The object containing the callback functions.\n     * @param {(run: Run) => void} params.onStart - Called before the runnable starts running, with the Run object.\n     * @param {(run: Run) => void} params.onEnd - Called after the runnable finishes running, with the Run object.\n     * @param {(run: Run) => void} params.onError - Called if the runnable throws an error, with the Run object.\n     */\n    withListeners({ onStart, onEnd, onError }: {\n        onStart?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n        onEnd?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n        onError?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n    }): Runnable<RunInput, RunOutput, CallOptions>;\n    /**\n     * Convert a runnable to a tool. Return a new instance of `RunnableToolLike`\n     * which contains the runnable, name, description and schema.\n     *\n     * @template {T extends RunInput = RunInput} RunInput - The input type of the runnable. Should be the same as the `RunInput` type of the runnable.\n     *\n     * @param fields\n     * @param {string | undefined} [fields.name] The name of the tool. If not provided, it will default to the name of the runnable.\n     * @param {string | undefined} [fields.description] The description of the tool. Falls back to the description on the Zod schema if not provided, or undefined if neither are provided.\n     * @param {z.ZodType<T>} [fields.schema] The Zod schema for the input of the tool. Infers the Zod type from the input type of the runnable.\n     * @returns {RunnableToolLike<z.ZodType<T>, RunOutput>} An instance of `RunnableToolLike` which is a runnable that can be used as a tool.\n     */\n    asTool<T extends RunInput = RunInput>(fields: {\n        name?: string;\n        description?: string;\n        schema: InteropZodType<T>;\n    }): RunnableToolLike<InteropZodType<T | ToolCall>, RunOutput>;\n}\nexport type RunnableBindingArgs<RunInput, RunOutput, CallOptions extends RunnableConfig = RunnableConfig> = {\n    bound: Runnable<RunInput, RunOutput, CallOptions>;\n    /** @deprecated Use {@link config} instead. */\n    kwargs?: Partial<CallOptions>;\n    config: RunnableConfig;\n    configFactories?: Array<(config: RunnableConfig) => RunnableConfig | Promise<RunnableConfig>>;\n};\n/**\n * Wraps a runnable and applies partial config upon invocation.\n *\n * @example\n * ```typescript\n * import {\n *   type RunnableConfig,\n *   RunnableLambda,\n * } from \"@langchain/core/runnables\";\n *\n * const enhanceProfile = (\n *   profile: Record<string, any>,\n *   config?: RunnableConfig\n * ) => {\n *   if (config?.configurable?.role) {\n *     return { ...profile, role: config.configurable.role };\n *   }\n *   return profile;\n * };\n *\n * const runnable = RunnableLambda.from(enhanceProfile);\n *\n * // Bind configuration to the runnable to set the user's role dynamically\n * const adminRunnable = runnable.withConfig({ configurable: { role: \"Admin\" } });\n * const userRunnable = runnable.withConfig({ configurable: { role: \"User\" } });\n *\n * const result1 = await adminRunnable.invoke({\n *   name: \"Alice\",\n *   email: \"alice@example.com\"\n * });\n *\n * // { name: \"Alice\", email: \"alice@example.com\", role: \"Admin\" }\n *\n * const result2 = await userRunnable.invoke({\n *   name: \"Bob\",\n *   email: \"bob@example.com\"\n * });\n *\n * // { name: \"Bob\", email: \"bob@example.com\", role: \"User\" }\n * ```\n */\nexport declare class RunnableBinding<RunInput, RunOutput, CallOptions extends RunnableConfig = RunnableConfig> extends Runnable<RunInput, RunOutput, CallOptions> {\n    static lc_name(): string;\n    lc_namespace: string[];\n    lc_serializable: boolean;\n    bound: Runnable<RunInput, RunOutput, CallOptions>;\n    config: RunnableConfig;\n    kwargs?: Partial<CallOptions>;\n    configFactories?: Array<(config: RunnableConfig) => RunnableConfig | Promise<RunnableConfig>>;\n    constructor(fields: RunnableBindingArgs<RunInput, RunOutput, CallOptions>);\n    getName(suffix?: string | undefined): string;\n    _mergeConfig(...options: (Partial<CallOptions> | RunnableConfig | undefined)[]): Promise<Partial<CallOptions>>;\n    withConfig(config: Partial<CallOptions>): Runnable<RunInput, RunOutput, CallOptions>;\n    withRetry(fields?: {\n        stopAfterAttempt?: number;\n        onFailedAttempt?: RunnableRetryFailedAttemptHandler;\n    }): RunnableRetry<RunInput, RunOutput, CallOptions>;\n    invoke(input: RunInput, options?: Partial<CallOptions>): Promise<RunOutput>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions?: false;\n    }): Promise<RunOutput[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions: true;\n    }): Promise<(RunOutput | Error)[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions): Promise<(RunOutput | Error)[]>;\n    /** @internal */\n    _concatOutputChunks<O>(first: O, second: O): O;\n    _streamIterator(input: RunInput, options?: Partial<CallOptions> | undefined): AsyncGenerator<Awaited<RunOutput>, void, any>;\n    stream(input: RunInput, options?: Partial<CallOptions> | undefined): Promise<IterableReadableStream<RunOutput>>;\n    transform(generator: AsyncGenerator<RunInput>, options?: Partial<CallOptions>): AsyncGenerator<RunOutput>;\n    streamEvents(input: RunInput, options: Partial<CallOptions> & {\n        version: \"v1\" | \"v2\";\n    }, streamOptions?: Omit<LogStreamCallbackHandlerInput, \"autoClose\">): IterableReadableStream<StreamEvent>;\n    streamEvents(input: RunInput, options: Partial<CallOptions> & {\n        version: \"v1\" | \"v2\";\n        encoding: \"text/event-stream\";\n    }, streamOptions?: Omit<LogStreamCallbackHandlerInput, \"autoClose\">): IterableReadableStream<Uint8Array>;\n    static isRunnableBinding(thing: any): thing is RunnableBinding<any, any, any>;\n    /**\n     * Bind lifecycle listeners to a Runnable, returning a new Runnable.\n     * The Run object contains information about the run, including its id,\n     * type, input, output, error, startTime, endTime, and any tags or metadata\n     * added to the run.\n     *\n     * @param {Object} params - The object containing the callback functions.\n     * @param {(run: Run) => void} params.onStart - Called before the runnable starts running, with the Run object.\n     * @param {(run: Run) => void} params.onEnd - Called after the runnable finishes running, with the Run object.\n     * @param {(run: Run) => void} params.onError - Called if the runnable throws an error, with the Run object.\n     */\n    withListeners({ onStart, onEnd, onError }: {\n        onStart?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n        onEnd?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n        onError?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n    }): Runnable<RunInput, RunOutput, CallOptions>;\n}\n/**\n * A runnable that delegates calls to another runnable\n * with each element of the input sequence.\n * @example\n * ```typescript\n * import { RunnableEach, RunnableLambda } from \"@langchain/core/runnables\";\n *\n * const toUpperCase = (input: string): string => input.toUpperCase();\n * const addGreeting = (input: string): string => `Hello, ${input}!`;\n *\n * const upperCaseLambda = RunnableLambda.from(toUpperCase);\n * const greetingLambda = RunnableLambda.from(addGreeting);\n *\n * const chain = new RunnableEach({\n *   bound: upperCaseLambda.pipe(greetingLambda),\n * });\n *\n * const result = await chain.invoke([\"alice\", \"bob\", \"carol\"])\n *\n * // [\"Hello, ALICE!\", \"Hello, BOB!\", \"Hello, CAROL!\"]\n * ```\n */\nexport declare class RunnableEach<RunInputItem, RunOutputItem, CallOptions extends RunnableConfig> extends Runnable<RunInputItem[], RunOutputItem[], CallOptions> {\n    static lc_name(): string;\n    lc_serializable: boolean;\n    lc_namespace: string[];\n    bound: Runnable<RunInputItem, RunOutputItem, CallOptions>;\n    constructor(fields: {\n        bound: Runnable<RunInputItem, RunOutputItem, CallOptions>;\n    });\n    /**\n     * Invokes the runnable with the specified input and configuration.\n     * @param input The input to invoke the runnable with.\n     * @param config The configuration to invoke the runnable with.\n     * @returns A promise that resolves to the output of the runnable.\n     */\n    invoke(inputs: RunInputItem[], config?: Partial<CallOptions>): Promise<RunOutputItem[]>;\n    /**\n     * A helper method that is used to invoke the runnable with the specified input and configuration.\n     * @param input The input to invoke the runnable with.\n     * @param config The configuration to invoke the runnable with.\n     * @returns A promise that resolves to the output of the runnable.\n     */\n    protected _invoke(inputs: RunInputItem[], config?: Partial<CallOptions>, runManager?: CallbackManagerForChainRun): Promise<RunOutputItem[]>;\n    /**\n     * Bind lifecycle listeners to a Runnable, returning a new Runnable.\n     * The Run object contains information about the run, including its id,\n     * type, input, output, error, startTime, endTime, and any tags or metadata\n     * added to the run.\n     *\n     * @param {Object} params - The object containing the callback functions.\n     * @param {(run: Run) => void} params.onStart - Called before the runnable starts running, with the Run object.\n     * @param {(run: Run) => void} params.onEnd - Called after the runnable finishes running, with the Run object.\n     * @param {(run: Run) => void} params.onError - Called if the runnable throws an error, with the Run object.\n     */\n    withListeners({ onStart, onEnd, onError }: {\n        onStart?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n        onEnd?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n        onError?: (run: Run, config?: RunnableConfig) => void | Promise<void>;\n    }): Runnable<any, any, CallOptions>;\n}\n/**\n * Base class for runnables that can be retried a\n * specified number of times.\n * @example\n * ```typescript\n * import {\n *   RunnableLambda,\n *   RunnableRetry,\n * } from \"@langchain/core/runnables\";\n *\n * // Simulate an API call that fails\n * const simulateApiCall = (input: string): string => {\n *   console.log(`Attempting API call with input: ${input}`);\n *   throw new Error(\"API call failed due to network issue\");\n * };\n *\n * const apiCallLambda = RunnableLambda.from(simulateApiCall);\n *\n * // Apply retry logic using the .withRetry() method\n * const apiCallWithRetry = apiCallLambda.withRetry({ stopAfterAttempt: 3 });\n *\n * // Alternatively, create a RunnableRetry instance manually\n * const manualRetry = new RunnableRetry({\n *   bound: apiCallLambda,\n *   maxAttemptNumber: 3,\n *   config: {},\n * });\n *\n * // Example invocation using the .withRetry() method\n * const res = await apiCallWithRetry\n *   .invoke(\"Request 1\")\n *   .catch((error) => {\n *     console.error(\"Failed after multiple retries:\", error.message);\n *   });\n *\n * // Example invocation using the manual retry instance\n * const res2 = await manualRetry\n *   .invoke(\"Request 2\")\n *   .catch((error) => {\n *     console.error(\"Failed after multiple retries:\", error.message);\n *   });\n * ```\n */\nexport declare class RunnableRetry<RunInput = any, RunOutput = any, CallOptions extends RunnableConfig = RunnableConfig> extends RunnableBinding<RunInput, RunOutput, CallOptions> {\n    static lc_name(): string;\n    lc_namespace: string[];\n    protected maxAttemptNumber: number;\n    onFailedAttempt: RunnableRetryFailedAttemptHandler;\n    constructor(fields: RunnableBindingArgs<RunInput, RunOutput, CallOptions> & {\n        maxAttemptNumber?: number;\n        onFailedAttempt?: RunnableRetryFailedAttemptHandler;\n    });\n    _patchConfigForRetry(attempt: number, config?: Partial<CallOptions>, runManager?: CallbackManagerForChainRun): Partial<CallOptions>;\n    protected _invoke(input: RunInput, config?: CallOptions, runManager?: CallbackManagerForChainRun): Promise<RunOutput>;\n    /**\n     * Method that invokes the runnable with the specified input, run manager,\n     * and config. It handles the retry logic by catching any errors and\n     * recursively invoking itself with the updated config for the next retry\n     * attempt.\n     * @param input The input for the runnable.\n     * @param runManager The run manager for the runnable.\n     * @param config The config for the runnable.\n     * @returns A promise that resolves to the output of the runnable.\n     */\n    invoke(input: RunInput, config?: CallOptions): Promise<RunOutput>;\n    _batch<ReturnExceptions extends boolean = false>(inputs: RunInput[], configs?: RunnableConfig[], runManagers?: (CallbackManagerForChainRun | undefined)[], batchOptions?: RunnableBatchOptions): Promise<ReturnExceptions extends false ? RunOutput[] : (RunOutput | Error)[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions?: false;\n    }): Promise<RunOutput[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions: true;\n    }): Promise<(RunOutput | Error)[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions): Promise<(RunOutput | Error)[]>;\n}\nexport type RunnableSequenceFields<RunInput, RunOutput> = {\n    first: Runnable<RunInput>;\n    middle?: Runnable[];\n    last: Runnable<any, RunOutput>;\n    name?: string;\n    omitSequenceTags?: boolean;\n};\n/**\n * A sequence of runnables, where the output of each is the input of the next.\n * @example\n * ```typescript\n * const promptTemplate = PromptTemplate.fromTemplate(\n *   \"Tell me a joke about {topic}\",\n * );\n * const chain = RunnableSequence.from([promptTemplate, new ChatOpenAI({ model: \"gpt-4o-mini\" })]);\n * const result = await chain.invoke({ topic: \"bears\" });\n * ```\n */\nexport declare class RunnableSequence<RunInput = any, RunOutput = any> extends Runnable<RunInput, RunOutput> {\n    static lc_name(): string;\n    protected first: Runnable<RunInput>;\n    protected middle: Runnable[];\n    protected last: Runnable<any, RunOutput>;\n    omitSequenceTags: boolean;\n    lc_serializable: boolean;\n    lc_namespace: string[];\n    constructor(fields: RunnableSequenceFields<RunInput, RunOutput>);\n    get steps(): Runnable<any, any, RunnableConfig<Record<string, any>>>[];\n    invoke(input: RunInput, options?: RunnableConfig): Promise<RunOutput>;\n    batch(inputs: RunInput[], options?: Partial<RunnableConfig> | Partial<RunnableConfig>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions?: false;\n    }): Promise<RunOutput[]>;\n    batch(inputs: RunInput[], options?: Partial<RunnableConfig> | Partial<RunnableConfig>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions: true;\n    }): Promise<(RunOutput | Error)[]>;\n    batch(inputs: RunInput[], options?: Partial<RunnableConfig> | Partial<RunnableConfig>[], batchOptions?: RunnableBatchOptions): Promise<(RunOutput | Error)[]>;\n    /** @internal */\n    _concatOutputChunks<O>(first: O, second: O): O;\n    _streamIterator(input: RunInput, options?: RunnableConfig): AsyncGenerator<RunOutput>;\n    getGraph(config?: RunnableConfig): Graph;\n    pipe<NewRunOutput>(coerceable: RunnableLike<RunOutput, NewRunOutput>): RunnableSequence<RunInput, Exclude<NewRunOutput, Error>>;\n    static isRunnableSequence(thing: any): thing is RunnableSequence;\n    static from<RunInput = any, RunOutput = any>([first, ...runnables]: [\n        RunnableLike<RunInput>,\n        ...RunnableLike[],\n        RunnableLike<any, RunOutput>\n    ], nameOrFields?: string | Omit<RunnableSequenceFields<RunInput, RunOutput>, \"first\" | \"middle\" | \"last\">): RunnableSequence<RunInput, Exclude<RunOutput, Error>>;\n}\n/**\n * A runnable that runs a mapping of runnables in parallel,\n * and returns a mapping of their outputs.\n * @example\n * ```typescript\n * const mapChain = RunnableMap.from({\n *   joke: PromptTemplate.fromTemplate(\"Tell me a joke about {topic}\").pipe(\n *     new ChatAnthropic({}),\n *   ),\n *   poem: PromptTemplate.fromTemplate(\"write a 2-line poem about {topic}\").pipe(\n *     new ChatAnthropic({}),\n *   ),\n * });\n * const result = await mapChain.invoke({ topic: \"bear\" });\n * ```\n */\nexport declare class RunnableMap<RunInput = any, RunOutput extends Record<string, any> = Record<string, any>> extends Runnable<RunInput, RunOutput> {\n    static lc_name(): string;\n    lc_namespace: string[];\n    lc_serializable: boolean;\n    protected steps: Record<string, Runnable<RunInput>>;\n    getStepsKeys(): string[];\n    constructor(fields: {\n        steps: RunnableMapLike<RunInput, RunOutput>;\n    });\n    static from<RunInput, RunOutput extends Record<string, any> = Record<string, any>>(steps: RunnableMapLike<RunInput, RunOutput>): RunnableMap<RunInput, RunOutput>;\n    invoke(input: RunInput, options?: Partial<RunnableConfig>): Promise<RunOutput>;\n    _transform(generator: AsyncGenerator<RunInput>, runManager?: CallbackManagerForChainRun, options?: Partial<RunnableConfig>): AsyncGenerator<RunOutput>;\n    transform(generator: AsyncGenerator<RunInput>, options?: Partial<RunnableConfig>): AsyncGenerator<RunOutput>;\n    stream(input: RunInput, options?: Partial<RunnableConfig>): Promise<IterableReadableStream<RunOutput>>;\n}\ntype AnyTraceableFunction = TraceableFunction<(...any: any[]) => any>;\n/**\n * A runnable that wraps a traced LangSmith function.\n */\nexport declare class RunnableTraceable<RunInput, RunOutput> extends Runnable<RunInput, RunOutput> {\n    lc_serializable: boolean;\n    lc_namespace: string[];\n    protected func: AnyTraceableFunction;\n    constructor(fields: {\n        func: AnyTraceableFunction;\n    });\n    invoke(input: RunInput, options?: Partial<RunnableConfig>): Promise<RunOutput>;\n    _streamIterator(input: RunInput, options?: Partial<RunnableConfig>): AsyncGenerator<RunOutput>;\n    static from(func: AnyTraceableFunction): RunnableTraceable<unknown, unknown>;\n}\n/**\n * A runnable that wraps an arbitrary function that takes a single argument.\n * @example\n * ```typescript\n * import { RunnableLambda } from \"@langchain/core/runnables\";\n *\n * const add = (input: { x: number; y: number }) => input.x + input.y;\n *\n * const multiply = (input: { value: number; multiplier: number }) =>\n *   input.value * input.multiplier;\n *\n * // Create runnables for the functions\n * const addLambda = RunnableLambda.from(add);\n * const multiplyLambda = RunnableLambda.from(multiply);\n *\n * // Chain the lambdas for a mathematical operation\n * const chainedLambda = addLambda.pipe((result) =>\n *   multiplyLambda.invoke({ value: result, multiplier: 2 })\n * );\n *\n * // Example invocation of the chainedLambda\n * const result = await chainedLambda.invoke({ x: 2, y: 3 });\n *\n * // Will log \"10\" (since (2 + 3) * 2 = 10)\n * ```\n */\nexport declare class RunnableLambda<RunInput, RunOutput, CallOptions extends RunnableConfig = RunnableConfig> extends Runnable<RunInput, RunOutput, CallOptions> {\n    static lc_name(): string;\n    lc_namespace: string[];\n    protected func: RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput, CallOptions>, CallOptions>;\n    constructor(fields: {\n        func: RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput, CallOptions>, CallOptions> | TraceableFunction<RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput, CallOptions>, CallOptions>>;\n    });\n    static from<RunInput, RunOutput, CallOptions extends RunnableConfig = RunnableConfig>(func: RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput, CallOptions>, CallOptions>): RunnableLambda<RunInput, RunOutput, CallOptions>;\n    static from<RunInput, RunOutput, CallOptions extends RunnableConfig = RunnableConfig>(func: TraceableFunction<RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput, CallOptions>, CallOptions>>): RunnableLambda<RunInput, RunOutput, CallOptions>;\n    _invoke(input: RunInput, config?: Partial<CallOptions>, runManager?: CallbackManagerForChainRun): Promise<RunOutput>;\n    invoke(input: RunInput, options?: Partial<CallOptions>): Promise<RunOutput>;\n    _transform(generator: AsyncGenerator<RunInput>, runManager?: CallbackManagerForChainRun, config?: Partial<CallOptions>): AsyncGenerator<RunOutput>;\n    transform(generator: AsyncGenerator<RunInput>, options?: Partial<CallOptions>): AsyncGenerator<RunOutput>;\n    stream(input: RunInput, options?: Partial<CallOptions>): Promise<IterableReadableStream<RunOutput>>;\n}\n/**\n * A runnable that runs a mapping of runnables in parallel,\n * and returns a mapping of their outputs.\n * @example\n * ```typescript\n * import {\n *   RunnableLambda,\n *   RunnableParallel,\n * } from \"@langchain/core/runnables\";\n *\n * const addYears = (age: number): number => age + 5;\n * const yearsToFifty = (age: number): number => 50 - age;\n * const yearsToHundred = (age: number): number => 100 - age;\n *\n * const addYearsLambda = RunnableLambda.from(addYears);\n * const milestoneFiftyLambda = RunnableLambda.from(yearsToFifty);\n * const milestoneHundredLambda = RunnableLambda.from(yearsToHundred);\n *\n * // Pipe will coerce objects into RunnableParallel by default, but we\n * // explicitly instantiate one here to demonstrate\n * const sequence = addYearsLambda.pipe(\n *   RunnableParallel.from({\n *     years_to_fifty: milestoneFiftyLambda,\n *     years_to_hundred: milestoneHundredLambda,\n *   })\n * );\n *\n * // Invoke the sequence with a single age input\n * const res = await sequence.invoke(25);\n *\n * // { years_to_fifty: 20, years_to_hundred: 70 }\n * ```\n */\nexport declare class RunnableParallel<RunInput> extends RunnableMap<RunInput> {\n}\n/**\n * A Runnable that can fallback to other Runnables if it fails.\n * External APIs (e.g., APIs for a language model) may at times experience\n * degraded performance or even downtime.\n *\n * In these cases, it can be useful to have a fallback Runnable that can be\n * used in place of the original Runnable (e.g., fallback to another LLM provider).\n *\n * Fallbacks can be defined at the level of a single Runnable, or at the level\n * of a chain of Runnables. Fallbacks are tried in order until one succeeds or\n * all fail.\n *\n * While you can instantiate a `RunnableWithFallbacks` directly, it is usually\n * more convenient to use the `withFallbacks` method on an existing Runnable.\n *\n * When streaming, fallbacks will only be called on failures during the initial\n * stream creation. Errors that occur after a stream starts will not fallback\n * to the next Runnable.\n *\n * @example\n * ```typescript\n * import {\n *   RunnableLambda,\n *   RunnableWithFallbacks,\n * } from \"@langchain/core/runnables\";\n *\n * const primaryOperation = (input: string): string => {\n *   if (input !== \"safe\") {\n *     throw new Error(\"Primary operation failed due to unsafe input\");\n *   }\n *   return `Processed: ${input}`;\n * };\n *\n * // Define a fallback operation that processes the input differently\n * const fallbackOperation = (input: string): string =>\n *   `Fallback processed: ${input}`;\n *\n * const primaryRunnable = RunnableLambda.from(primaryOperation);\n * const fallbackRunnable = RunnableLambda.from(fallbackOperation);\n *\n * // Apply the fallback logic using the .withFallbacks() method\n * const runnableWithFallback = primaryRunnable.withFallbacks([fallbackRunnable]);\n *\n * // Alternatively, create a RunnableWithFallbacks instance manually\n * const manualFallbackChain = new RunnableWithFallbacks({\n *   runnable: primaryRunnable,\n *   fallbacks: [fallbackRunnable],\n * });\n *\n * // Example invocation using .withFallbacks()\n * const res = await runnableWithFallback\n *   .invoke(\"unsafe input\")\n *   .catch((error) => {\n *     console.error(\"Failed after all attempts:\", error.message);\n *   });\n *\n * // \"Fallback processed: unsafe input\"\n *\n * // Example invocation using manual instantiation\n * const res = await manualFallbackChain\n *   .invoke(\"safe\")\n *   .catch((error) => {\n *     console.error(\"Failed after all attempts:\", error.message);\n *   });\n *\n * // \"Processed: safe\"\n * ```\n */\nexport declare class RunnableWithFallbacks<RunInput, RunOutput> extends Runnable<RunInput, RunOutput> {\n    static lc_name(): string;\n    lc_namespace: string[];\n    lc_serializable: boolean;\n    runnable: Runnable<RunInput, RunOutput>;\n    fallbacks: Runnable<RunInput, RunOutput>[];\n    constructor(fields: {\n        runnable: Runnable<RunInput, RunOutput>;\n        fallbacks: Runnable<RunInput, RunOutput>[];\n    });\n    runnables(): Generator<Runnable<RunInput, RunOutput, RunnableConfig<Record<string, any>>>, void, unknown>;\n    invoke(input: RunInput, options?: Partial<RunnableConfig>): Promise<RunOutput>;\n    _streamIterator(input: RunInput, options?: Partial<RunnableConfig> | undefined): AsyncGenerator<RunOutput>;\n    batch(inputs: RunInput[], options?: Partial<RunnableConfig> | Partial<RunnableConfig>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions?: false;\n    }): Promise<RunOutput[]>;\n    batch(inputs: RunInput[], options?: Partial<RunnableConfig> | Partial<RunnableConfig>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions: true;\n    }): Promise<(RunOutput | Error)[]>;\n    batch(inputs: RunInput[], options?: Partial<RunnableConfig> | Partial<RunnableConfig>[], batchOptions?: RunnableBatchOptions): Promise<(RunOutput | Error)[]>;\n}\nexport declare function _coerceToRunnable<RunInput, RunOutput, CallOptions extends RunnableConfig = RunnableConfig>(coerceable: RunnableLike<RunInput, RunOutput, CallOptions>): Runnable<RunInput, Exclude<RunOutput, Error>, CallOptions>;\nexport interface RunnableAssignFields<RunInput> {\n    mapper: RunnableMap<RunInput>;\n}\n/**\n * A runnable that assigns key-value pairs to inputs of type `Record<string, unknown>`.\n * @example\n * ```typescript\n * import {\n *   RunnableAssign,\n *   RunnableLambda,\n *   RunnableParallel,\n * } from \"@langchain/core/runnables\";\n *\n * const calculateAge = (x: { birthYear: number }): { age: number } => {\n *   const currentYear = new Date().getFullYear();\n *   return { age: currentYear - x.birthYear };\n * };\n *\n * const createGreeting = (x: { name: string }): { greeting: string } => {\n *   return { greeting: `Hello, ${x.name}!` };\n * };\n *\n * const mapper = RunnableParallel.from({\n *   age_step: RunnableLambda.from(calculateAge),\n *   greeting_step: RunnableLambda.from(createGreeting),\n * });\n *\n * const runnableAssign = new RunnableAssign({ mapper });\n *\n * const res = await runnableAssign.invoke({ name: \"Alice\", birthYear: 1990 });\n *\n * // { name: \"Alice\", birthYear: 1990, age_step: { age: 34 }, greeting_step: { greeting: \"Hello, Alice!\" } }\n * ```\n */\nexport declare class RunnableAssign<RunInput extends Record<string, any> = Record<string, any>, RunOutput extends Record<string, any> = Record<string, any>, CallOptions extends RunnableConfig = RunnableConfig> extends Runnable<RunInput, RunOutput> implements RunnableAssignFields<RunInput> {\n    static lc_name(): string;\n    lc_namespace: string[];\n    lc_serializable: boolean;\n    mapper: RunnableMap<RunInput>;\n    constructor(fields: RunnableMap<RunInput> | RunnableAssignFields<RunInput>);\n    invoke(input: RunInput, options?: Partial<CallOptions>): Promise<RunOutput>;\n    _transform(generator: AsyncGenerator<RunInput>, runManager?: CallbackManagerForChainRun, options?: Partial<RunnableConfig>): AsyncGenerator<RunOutput>;\n    transform(generator: AsyncGenerator<RunInput>, options?: Partial<RunnableConfig>): AsyncGenerator<RunOutput>;\n    stream(input: RunInput, options?: Partial<RunnableConfig>): Promise<IterableReadableStream<RunOutput>>;\n}\nexport interface RunnablePickFields {\n    keys: string | string[];\n}\n/**\n * A runnable that assigns key-value pairs to inputs of type `Record<string, unknown>`.\n * Useful for streaming, can be automatically created and chained by calling `runnable.pick();`.\n * @example\n * ```typescript\n * import { RunnablePick } from \"@langchain/core/runnables\";\n *\n * const inputData = {\n *   name: \"John\",\n *   age: 30,\n *   city: \"New York\",\n *   country: \"USA\",\n *   email: \"john.doe@example.com\",\n *   phone: \"+1234567890\",\n * };\n *\n * const basicInfoRunnable = new RunnablePick([\"name\", \"city\"]);\n *\n * // Example invocation\n * const res = await basicInfoRunnable.invoke(inputData);\n *\n * // { name: 'John', city: 'New York' }\n * ```\n */\nexport declare class RunnablePick<RunInput extends Record<string, any> = Record<string, any>, RunOutput extends Record<string, any> | any = Record<string, any> | any, CallOptions extends RunnableConfig = RunnableConfig> extends Runnable<RunInput, RunOutput> implements RunnablePickFields {\n    static lc_name(): string;\n    lc_namespace: string[];\n    lc_serializable: boolean;\n    keys: string | string[];\n    constructor(fields: string | string[] | RunnablePickFields);\n    _pick(input: RunInput): Promise<RunOutput>;\n    invoke(input: RunInput, options?: Partial<CallOptions>): Promise<RunOutput>;\n    _transform(generator: AsyncGenerator<RunInput>): AsyncGenerator<RunOutput>;\n    transform(generator: AsyncGenerator<RunInput>, options?: Partial<RunnableConfig>): AsyncGenerator<RunOutput>;\n    stream(input: RunInput, options?: Partial<RunnableConfig>): Promise<IterableReadableStream<RunOutput>>;\n}\nexport interface RunnableToolLikeArgs<RunInput extends InteropZodType = InteropZodType, RunOutput = unknown> extends Omit<RunnableBindingArgs<InferInteropZodOutput<RunInput>, RunOutput>, \"config\"> {\n    name: string;\n    description?: string;\n    schema: RunInput;\n    config?: RunnableConfig;\n}\nexport declare class RunnableToolLike<RunInput extends InteropZodType = InteropZodType, RunOutput = unknown> extends RunnableBinding<InferInteropZodOutput<RunInput>, RunOutput> {\n    name: string;\n    description?: string;\n    schema: RunInput;\n    constructor(fields: RunnableToolLikeArgs<RunInput, RunOutput>);\n    static lc_name(): string;\n}\n/**\n * Given a runnable and a Zod schema, convert the runnable to a tool.\n *\n * @template RunInput The input type for the runnable.\n * @template RunOutput The output type for the runnable.\n *\n * @param {Runnable<RunInput, RunOutput>} runnable The runnable to convert to a tool.\n * @param fields\n * @param {string | undefined} [fields.name] The name of the tool. If not provided, it will default to the name of the runnable.\n * @param {string | undefined} [fields.description] The description of the tool. Falls back to the description on the Zod schema if not provided, or undefined if neither are provided.\n * @param {InteropZodType<RunInput>} [fields.schema] The Zod s