langchain
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Typescript bindings for langchain
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{"version":3,"file":"AgentNode.cjs","names":["response: unknown","AIMessage","RunnableCallable","options: AgentNodeOptions<StructuredResponseFormat, ContextSchema>","#run","#options","#systemMessage","model: string | LanguageModelLike","transformResponseFormat","ProviderStrategy","ToolStrategy","state: InternalAgentState<StructuredResponseFormat>","config: RunnableConfig","ToolMessage","#invokeModel","Command","#areMoreStepsNeeded","initChatModel","options: {\n lastMessage?: string;\n }","#deriveModel","request: ModelRequest","validateLLMHasNoBoundTools","#getResponseFormat","#bindTools","#currentSystemMessage","mergeAbortSignals","#handleMultipleStructuredOutputs","#handleSingleStructuredOutput","wrappedHandler: (\n request: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n >\n ) => Promise<InternalModelResponse<StructuredResponseFormat>>","request: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n >","runtime: Runtime<unknown>","requestWithStateAndRuntime: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n >","req: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n >","isClientTool","SystemMessage","initialRequest: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n >","response: AIMessage","toolCalls: ToolCall[]","responseFormat: ToolResponseFormat","MultipleStructuredOutputsError","#handleToolStrategyError","toolCall: ToolCall","lastMessage?: string","error: ToolStrategyError","response: BaseMessage","hasToolCalls","model: LanguageModelLike","preparedOptions: ModelRequest | undefined","structuredResponseFormat: ResponseFormat | undefined","options: Partial<BaseChatModelCallOptions>","bindTools","withAgentName"],"sources":["../../../src/agents/nodes/AgentNode.ts"],"sourcesContent":["/* eslint-disable no-instanceof/no-instanceof */\nimport { Runnable, RunnableConfig } from \"@langchain/core/runnables\";\nimport {\n BaseMessage,\n AIMessage,\n ToolMessage,\n SystemMessage,\n} from \"@langchain/core/messages\";\nimport { Command, type LangGraphRunnableConfig } from \"@langchain/langgraph\";\nimport { type LanguageModelLike } from \"@langchain/core/language_models/base\";\nimport { type BaseChatModelCallOptions } from \"@langchain/core/language_models/chat_models\";\nimport {\n InteropZodObject,\n getSchemaDescription,\n interopParse,\n interopZodObjectPartial,\n} from \"@langchain/core/utils/types\";\nimport { raceWithSignal } from \"@langchain/core/runnables\";\nimport type { ToolCall } from \"@langchain/core/messages/tool\";\nimport type { ClientTool, ServerTool } from \"@langchain/core/tools\";\n\nimport { initChatModel } from \"../../chat_models/universal.js\";\nimport { MultipleStructuredOutputsError } from \"../errors.js\";\nimport { RunnableCallable } from \"../RunnableCallable.js\";\nimport {\n bindTools,\n validateLLMHasNoBoundTools,\n hasToolCalls,\n isClientTool,\n} from \"../utils.js\";\nimport { mergeAbortSignals } from \"../nodes/utils.js\";\nimport { CreateAgentParams } from \"../types.js\";\nimport type { InternalAgentState, Runtime } from \"../runtime.js\";\nimport type {\n AgentMiddleware,\n AnyAnnotationRoot,\n WrapModelCallHandler,\n} from \"../middleware/types.js\";\nimport type { ModelRequest } from \"./types.js\";\nimport { withAgentName } from \"../withAgentName.js\";\nimport {\n ToolStrategy,\n ProviderStrategy,\n transformResponseFormat,\n ToolStrategyError,\n} from \"../responses.js\";\n\ntype ResponseHandlerResult<StructuredResponseFormat> =\n | {\n structuredResponse: StructuredResponseFormat;\n messages: BaseMessage[];\n }\n | Promise<Command>;\n\n/**\n * Wrap the base handler with middleware wrapModelCall hooks\n * Middleware are composed so the first middleware is the outermost wrapper\n * Example: [auth, retry, cache] means auth wraps retry wraps cache wraps baseHandler\n */\ntype InternalModelResponse<StructuredResponseFormat> =\n | AIMessage\n | ResponseHandlerResult<StructuredResponseFormat>;\n\n/**\n * Check if the response is an internal model response.\n * @param response - The response to check.\n * @returns True if the response is an internal model response, false otherwise.\n */\nfunction isInternalModelResponse<StructuredResponseFormat>(\n response: unknown\n): response is InternalModelResponse<StructuredResponseFormat> {\n return (\n AIMessage.isInstance(response) ||\n (typeof response === \"object\" &&\n response !== null &&\n \"structuredResponse\" in response &&\n \"messages\" in response)\n );\n}\n\n/**\n * The name of the agent node in the state graph.\n */\nexport const AGENT_NODE_NAME = \"model_request\";\n\nexport interface AgentNodeOptions<\n StructuredResponseFormat extends Record<string, unknown> = Record<\n string,\n unknown\n >,\n StateSchema extends AnyAnnotationRoot | InteropZodObject = AnyAnnotationRoot,\n ContextSchema extends\n | AnyAnnotationRoot\n | InteropZodObject = AnyAnnotationRoot,\n> extends Pick<\n CreateAgentParams<StructuredResponseFormat, StateSchema, ContextSchema>,\n \"model\" | \"includeAgentName\" | \"name\" | \"responseFormat\" | \"middleware\"\n > {\n toolClasses: (ClientTool | ServerTool)[];\n shouldReturnDirect: Set<string>;\n signal?: AbortSignal;\n systemMessage: SystemMessage;\n wrapModelCallHookMiddleware?: [\n AgentMiddleware,\n () => Record<string, unknown>,\n ][];\n}\n\ninterface NativeResponseFormat {\n type: \"native\";\n strategy: ProviderStrategy;\n}\n\ninterface ToolResponseFormat {\n type: \"tool\";\n tools: Record<string, ToolStrategy>;\n}\n\ntype ResponseFormat = NativeResponseFormat | ToolResponseFormat;\n\nexport class AgentNode<\n StructuredResponseFormat extends Record<string, unknown> = Record<\n string,\n unknown\n >,\n ContextSchema extends\n | AnyAnnotationRoot\n | InteropZodObject = AnyAnnotationRoot,\n> extends RunnableCallable<\n InternalAgentState<StructuredResponseFormat>,\n | (\n | { messages: BaseMessage[] }\n | { structuredResponse: StructuredResponseFormat }\n )\n | Command\n> {\n #options: AgentNodeOptions<StructuredResponseFormat, ContextSchema>;\n #systemMessage: SystemMessage;\n #currentSystemMessage: SystemMessage;\n\n constructor(\n options: AgentNodeOptions<StructuredResponseFormat, ContextSchema>\n ) {\n super({\n name: options.name ?? \"model\",\n func: (input, config) => this.#run(input, config as RunnableConfig),\n });\n\n this.#options = options;\n this.#systemMessage = options.systemMessage;\n }\n\n /**\n * Returns response format primtivies based on given model and response format provided by the user.\n *\n * If the user selects a tool output:\n * - return a record of tools to extract structured output from the model's response\n *\n * if the the user selects a native schema output or if the model supports JSON schema output:\n * - return a provider strategy to extract structured output from the model's response\n *\n * @param model - The model to get the response format for.\n * @returns The response format.\n */\n #getResponseFormat(\n model: string | LanguageModelLike\n ): ResponseFormat | undefined {\n if (!this.#options.responseFormat) {\n return undefined;\n }\n\n const strategies = transformResponseFormat(\n this.#options.responseFormat,\n undefined,\n model\n );\n\n /**\n * we either define a list of provider strategies or a list of tool strategies\n */\n const isProviderStrategy = strategies.every(\n (format) => format instanceof ProviderStrategy\n );\n\n /**\n * Populate a list of structured tool info.\n */\n if (!isProviderStrategy) {\n return {\n type: \"tool\",\n tools: (\n strategies.filter(\n (format) => format instanceof ToolStrategy\n ) as ToolStrategy[]\n ).reduce(\n (acc, format) => {\n acc[format.name] = format;\n return acc;\n },\n {} as Record<string, ToolStrategy>\n ),\n };\n }\n\n return {\n type: \"native\",\n /**\n * there can only be one provider strategy\n */\n strategy: strategies[0] as ProviderStrategy,\n };\n }\n\n async #run(\n state: InternalAgentState<StructuredResponseFormat>,\n config: RunnableConfig\n ) {\n /**\n * Check if we just executed a returnDirect tool\n * If so, we should generate structured response (if needed) and stop\n */\n const lastMessage = state.messages.at(-1);\n if (\n lastMessage &&\n ToolMessage.isInstance(lastMessage) &&\n lastMessage.name &&\n this.#options.shouldReturnDirect.has(lastMessage.name)\n ) {\n /**\n * return directly without invoking the model again\n */\n return { messages: [] };\n }\n\n const response = await this.#invokeModel(state, config);\n\n /**\n * if we were able to generate a structured response, return it\n */\n if (\"structuredResponse\" in response) {\n return {\n messages: [...state.messages, ...(response.messages || [])],\n structuredResponse: response.structuredResponse,\n };\n }\n\n /**\n * if we need to direct the agent to the model, return the update\n */\n if (response instanceof Command) {\n return response;\n }\n\n response.name = this.name;\n response.lc_kwargs.name = this.name;\n\n if (this.#areMoreStepsNeeded(state, response)) {\n return {\n messages: [\n new AIMessage({\n content: \"Sorry, need more steps to process this request.\",\n name: this.name,\n id: response.id,\n }),\n ],\n };\n }\n\n return { messages: [response] };\n }\n\n /**\n * Derive the model from the options.\n * @param state - The state of the agent.\n * @param config - The config of the agent.\n * @returns The model.\n */\n #deriveModel() {\n if (typeof this.#options.model === \"string\") {\n return initChatModel(this.#options.model);\n }\n\n if (this.#options.model) {\n return this.#options.model;\n }\n\n throw new Error(\"No model option was provided, either via `model` option.\");\n }\n\n async #invokeModel(\n state: InternalAgentState<StructuredResponseFormat>,\n config: RunnableConfig,\n options: {\n lastMessage?: string;\n } = {}\n ): Promise<AIMessage | ResponseHandlerResult<StructuredResponseFormat>> {\n const model = await this.#deriveModel();\n const lgConfig = config as LangGraphRunnableConfig;\n\n /**\n * Create the base handler that performs the actual model invocation\n */\n const baseHandler = async (\n request: ModelRequest\n ): Promise<AIMessage | ResponseHandlerResult<StructuredResponseFormat>> => {\n /**\n * Check if the LLM already has bound tools and throw if it does.\n */\n validateLLMHasNoBoundTools(request.model);\n\n const structuredResponseFormat = this.#getResponseFormat(request.model);\n const modelWithTools = await this.#bindTools(\n request.model,\n request,\n structuredResponseFormat\n );\n\n /**\n * prepend the system message to the messages if it is not empty\n */\n const messages = [\n ...(this.#currentSystemMessage.text === \"\"\n ? []\n : [this.#currentSystemMessage]),\n ...request.messages,\n ];\n\n const signal = mergeAbortSignals(this.#options.signal, config.signal);\n const response = (await raceWithSignal(\n modelWithTools.invoke(messages, {\n ...config,\n signal,\n }),\n signal\n )) as AIMessage;\n\n /**\n * if the user requests a native schema output, try to parse the response\n * and return the structured response if it is valid\n */\n if (structuredResponseFormat?.type === \"native\") {\n const structuredResponse =\n structuredResponseFormat.strategy.parse(response);\n if (structuredResponse) {\n return { structuredResponse, messages: [response] };\n }\n\n return response;\n }\n\n if (!structuredResponseFormat || !response.tool_calls) {\n return response;\n }\n\n const toolCalls = response.tool_calls.filter(\n (call) => call.name in structuredResponseFormat.tools\n );\n\n /**\n * if there were not structured tool calls, we can return the response\n */\n if (toolCalls.length === 0) {\n return response;\n }\n\n /**\n * if there were multiple structured tool calls, we should throw an error as this\n * scenario is not defined/supported.\n */\n if (toolCalls.length > 1) {\n return this.#handleMultipleStructuredOutputs(\n response,\n toolCalls,\n structuredResponseFormat\n );\n }\n\n const toolStrategy = structuredResponseFormat.tools[toolCalls[0].name];\n const toolMessageContent = toolStrategy?.options?.toolMessageContent;\n return this.#handleSingleStructuredOutput(\n response,\n toolCalls[0],\n structuredResponseFormat,\n toolMessageContent ?? options.lastMessage\n );\n };\n\n const wrapperMiddleware = this.#options.wrapModelCallHookMiddleware ?? [];\n let wrappedHandler: (\n request: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n >\n ) => Promise<InternalModelResponse<StructuredResponseFormat>> = baseHandler;\n\n /**\n * Build composed handler from last to first so first middleware becomes outermost\n */\n for (let i = wrapperMiddleware.length - 1; i >= 0; i--) {\n const [middleware, getMiddlewareState] = wrapperMiddleware[i];\n if (middleware.wrapModelCall) {\n const innerHandler = wrappedHandler;\n const currentMiddleware = middleware;\n const currentGetState = getMiddlewareState;\n\n wrappedHandler = async (\n request: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n >\n ): Promise<InternalModelResponse<StructuredResponseFormat>> => {\n /**\n * Merge context with default context of middleware\n */\n const context = currentMiddleware.contextSchema\n ? interopParse(\n currentMiddleware.contextSchema,\n lgConfig?.context || {}\n )\n : lgConfig?.context;\n\n /**\n * Create runtime\n */\n const runtime: Runtime<unknown> = Object.freeze({\n context,\n writer: lgConfig.writer,\n interrupt: lgConfig.interrupt,\n signal: lgConfig.signal,\n });\n\n /**\n * Create the request with state and runtime\n */\n const requestWithStateAndRuntime: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n > = {\n ...request,\n state: {\n ...(middleware.stateSchema\n ? interopParse(\n interopZodObjectPartial(middleware.stateSchema),\n state\n )\n : {}),\n ...currentGetState(),\n messages: state.messages,\n } as InternalAgentState<StructuredResponseFormat>,\n runtime,\n };\n\n /**\n * Create handler that validates tools and calls the inner handler\n */\n const handlerWithValidation = async (\n req: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n >\n ): Promise<InternalModelResponse<StructuredResponseFormat>> => {\n /**\n * Verify that the user didn't add any new tools.\n * We can't allow this as the ToolNode is already initiated with given tools.\n */\n const modifiedTools = req.tools ?? [];\n const newTools = modifiedTools.filter(\n (tool) =>\n isClientTool(tool) &&\n !this.#options.toolClasses.some((t) => t.name === tool.name)\n );\n if (newTools.length > 0) {\n throw new Error(\n `You have added a new tool in \"wrapModelCall\" hook of middleware \"${\n currentMiddleware.name\n }\": ${newTools\n .map((tool) => tool.name)\n .join(\", \")}. This is not supported.`\n );\n }\n\n /**\n * Verify that user has not added or modified a tool with the same name.\n * We can't allow this as the ToolNode is already initiated with given tools.\n */\n const invalidTools = modifiedTools.filter(\n (tool) =>\n isClientTool(tool) &&\n this.#options.toolClasses.every((t) => t !== tool)\n );\n if (invalidTools.length > 0) {\n throw new Error(\n `You have modified a tool in \"wrapModelCall\" hook of middleware \"${\n currentMiddleware.name\n }\": ${invalidTools\n .map((tool) => tool.name)\n .join(\", \")}. This is not supported.`\n );\n }\n\n let normalizedReq = req;\n const hasSystemPromptChanged =\n req.systemPrompt !== this.#currentSystemMessage.text;\n const hasSystemMessageChanged =\n req.systemMessage !== this.#currentSystemMessage;\n if (hasSystemPromptChanged && hasSystemMessageChanged) {\n throw new Error(\n \"Cannot change both systemPrompt and systemMessage in the same request.\"\n );\n }\n\n /**\n * Check if systemPrompt is a string was changed, if so create a new SystemMessage\n */\n if (hasSystemPromptChanged) {\n this.#currentSystemMessage = new SystemMessage({\n content: [{ type: \"text\", text: req.systemPrompt }],\n });\n normalizedReq = {\n ...req,\n systemPrompt: this.#currentSystemMessage.text,\n systemMessage: this.#currentSystemMessage,\n };\n }\n /**\n * If the systemMessage was changed, update the current system message\n */\n if (hasSystemMessageChanged) {\n this.#currentSystemMessage = new SystemMessage({\n ...req.systemMessage,\n });\n normalizedReq = {\n ...req,\n systemPrompt: this.#currentSystemMessage.text,\n systemMessage: this.#currentSystemMessage,\n };\n }\n\n return innerHandler(normalizedReq);\n };\n\n // Call middleware's wrapModelCall with the validation handler\n if (!currentMiddleware.wrapModelCall) {\n return handlerWithValidation(requestWithStateAndRuntime);\n }\n\n try {\n const middlewareResponse = await currentMiddleware.wrapModelCall(\n requestWithStateAndRuntime,\n handlerWithValidation as WrapModelCallHandler\n );\n\n /**\n * Validate that this specific middleware returned a valid AIMessage\n */\n if (!isInternalModelResponse(middlewareResponse)) {\n throw new Error(\n `Invalid response from \"wrapModelCall\" in middleware \"${\n currentMiddleware.name\n }\": expected AIMessage, got ${typeof middlewareResponse}`\n );\n }\n\n return middlewareResponse;\n } catch (error) {\n /**\n * Add middleware context to error if not already added\n */\n if (\n error instanceof Error &&\n !error.message.includes(`middleware \"${currentMiddleware.name}\"`)\n ) {\n error.message = `Error in middleware \"${currentMiddleware.name}\": ${error.message}`;\n }\n throw error;\n }\n };\n }\n }\n\n /**\n * Execute the wrapped handler with the initial request\n * Reset current system prompt to initial state and convert to string using .text getter\n * for backwards compatibility with ModelRequest\n */\n this.#currentSystemMessage = this.#systemMessage;\n const initialRequest: ModelRequest<\n InternalAgentState<StructuredResponseFormat>,\n unknown\n > = {\n model,\n systemPrompt: this.#currentSystemMessage?.text,\n systemMessage: this.#currentSystemMessage,\n messages: state.messages,\n tools: this.#options.toolClasses,\n state,\n runtime: Object.freeze({\n context: lgConfig?.context,\n writer: lgConfig.writer,\n interrupt: lgConfig.interrupt,\n signal: lgConfig.signal,\n }) as Runtime<unknown>,\n };\n\n return wrappedHandler(initialRequest);\n }\n\n /**\n * If the model returns multiple structured outputs, we need to handle it.\n * @param response - The response from the model\n * @param toolCalls - The tool calls that were made\n * @returns The response from the model\n */\n #handleMultipleStructuredOutputs(\n response: AIMessage,\n toolCalls: ToolCall[],\n responseFormat: ToolResponseFormat\n ): Promise<Command> {\n const multipleStructuredOutputsError = new MultipleStructuredOutputsError(\n toolCalls.map((call) => call.name)\n );\n\n return this.#handleToolStrategyError(\n multipleStructuredOutputsError,\n response,\n toolCalls[0],\n responseFormat\n );\n }\n\n /**\n * If the model returns a single structured output, we need to handle it.\n * @param toolCall - The tool call that was made\n * @returns The structured response and a message to the LLM if needed\n */\n #handleSingleStructuredOutput(\n response: AIMessage,\n toolCall: ToolCall,\n responseFormat: ToolResponseFormat,\n lastMessage?: string\n ): ResponseHandlerResult<StructuredResponseFormat> {\n const tool = responseFormat.tools[toolCall.name];\n\n try {\n const structuredResponse = tool.parse(\n toolCall.args\n ) as StructuredResponseFormat;\n\n return {\n structuredResponse,\n messages: [\n response,\n new ToolMessage({\n tool_call_id: toolCall.id ?? \"\",\n content: JSON.stringify(structuredResponse),\n name: toolCall.name,\n }),\n new AIMessage(\n lastMessage ??\n `Returning structured response: ${JSON.stringify(\n structuredResponse\n )}`\n ),\n ],\n };\n } catch (error) {\n return this.#handleToolStrategyError(\n error as ToolStrategyError,\n response,\n toolCall,\n responseFormat\n );\n }\n }\n\n async #handleToolStrategyError(\n error: ToolStrategyError,\n response: AIMessage,\n toolCall: ToolCall,\n responseFormat: ToolResponseFormat\n ): Promise<Command> {\n /**\n * Using the `errorHandler` option of the first `ToolStrategy` entry is sufficient here.\n * There is technically only one `ToolStrategy` entry in `structuredToolInfo` if the user\n * uses `toolStrategy` to define the response format. If the user applies a list of json\n * schema objects, these will be transformed into multiple `ToolStrategy` entries but all\n * with the same `handleError` option.\n */\n const errorHandler = Object.values(responseFormat.tools).at(0)?.options\n ?.handleError;\n\n const toolCallId = toolCall.id;\n if (!toolCallId) {\n throw new Error(\n \"Tool call ID is required to handle tool output errors. Please provide a tool call ID.\"\n );\n }\n\n /**\n * Default behavior: retry if `errorHandler` is undefined or truthy.\n * Only throw if explicitly set to `false`.\n */\n if (errorHandler === false) {\n throw error;\n }\n\n /**\n * retry if:\n */\n if (\n /**\n * if the user has provided truthy value as the `errorHandler`, return a new AIMessage\n * with the error message and retry the tool call.\n */\n errorHandler === undefined ||\n (typeof errorHandler === \"boolean\" && errorHandler) ||\n /**\n * if `errorHandler` is an array and contains MultipleStructuredOutputsError\n */\n (Array.isArray(errorHandler) &&\n errorHandler.some((h) => h instanceof MultipleStructuredOutputsError))\n ) {\n return new Command({\n update: {\n messages: [\n response,\n new ToolMessage({\n content: error.message,\n tool_call_id: toolCallId,\n }),\n ],\n },\n goto: AGENT_NODE_NAME,\n });\n }\n\n /**\n * if `errorHandler` is a string, retry the tool call with given string\n */\n if (typeof errorHandler === \"string\") {\n return new Command({\n update: {\n messages: [\n response,\n new ToolMessage({\n content: errorHandler,\n tool_call_id: toolCallId,\n }),\n ],\n },\n goto: AGENT_NODE_NAME,\n });\n }\n\n /**\n * if `errorHandler` is a function, retry the tool call with the function\n */\n if (typeof errorHandler === \"function\") {\n const content = await errorHandler(error);\n if (typeof content !== \"string\") {\n throw new Error(\"Error handler must return a string.\");\n }\n\n return new Command({\n update: {\n messages: [\n response,\n new ToolMessage({\n content,\n tool_call_id: toolCallId,\n }),\n ],\n },\n goto: AGENT_NODE_NAME,\n });\n }\n\n /**\n * Default: retry if we reach here\n */\n return new Command({\n update: {\n messages: [\n response,\n new ToolMessage({\n content: error.message,\n tool_call_id: toolCallId,\n }),\n ],\n },\n goto: AGENT_NODE_NAME,\n });\n }\n\n #areMoreStepsNeeded(\n state: InternalAgentState<StructuredResponseFormat>,\n response: BaseMessage\n ): boolean {\n const allToolsReturnDirect =\n AIMessage.isInstance(response) &&\n response.tool_calls?.every((call) =>\n this.#options.shouldReturnDirect.has(call.name)\n );\n const remainingSteps =\n \"remainingSteps\" in state ? (state.remainingSteps as number) : undefined;\n return Boolean(\n remainingSteps &&\n ((remainingSteps < 1 && allToolsReturnDirect) ||\n (remainingSteps < 2 && hasToolCalls(state.messages.at(-1))))\n );\n }\n\n async #bindTools(\n model: LanguageModelLike,\n preparedOptions: ModelRequest | undefined,\n structuredResponseFormat: ResponseFormat | undefined\n ): Promise<Runnable> {\n const options: Partial<BaseChatModelCallOptions> = {};\n const structuredTools = Object.values(\n structuredResponseFormat && \"tools\" in structuredResponseFormat\n ? structuredResponseFormat.tools\n : {}\n );\n\n /**\n * Use tools from preparedOptions if provided, otherwise use default tools\n */\n const allTools = [\n ...(preparedOptions?.tools ?? this.#options.toolClasses),\n ...structuredTools.map((toolStrategy) => toolStrategy.tool),\n ];\n\n /**\n * If there are structured tools, we need to set the tool choice to \"any\"\n * so that the model can choose to use a structured tool or not.\n */\n const toolChoice =\n preparedOptions?.toolChoice ||\n (structuredTools.length > 0 ? \"any\" : undefined);\n\n /**\n * check if the user requests a native schema output\n */\n if (structuredResponseFormat?.type === \"native\") {\n const resolvedStrict =\n preparedOptions?.modelSettings?.strict ??\n structuredResponseFormat?.strategy?.strict ??\n true;\n\n const jsonSchemaParams = {\n name: structuredResponseFormat.strategy.schema?.name ?? \"extract\",\n description: getSchemaDescription(\n structuredResponseFormat.strategy.schema\n ),\n schema: structuredResponseFormat.strategy.schema,\n strict: resolvedStrict,\n };\n\n Object.assign(options, {\n response_format: {\n type: \"json_schema\",\n json_schema: jsonSchemaParams,\n },\n output_format: {\n type: \"json_schema\",\n schema: structuredResponseFormat.strategy.schema,\n },\n headers: {\n \"anthropic-beta\": \"structured-outputs-2025-11-13\",\n },\n ls_structured_output_format: {\n kwargs: { method: \"json_schema\" },\n schema: structuredResponseFormat.strategy.schema,\n },\n strict: resolvedStrict,\n });\n }\n\n /**\n * Bind tools to the model if they are not already bound.\n */\n const modelWithTools = await bindTools(model, allTools, {\n ...options,\n ...(preparedOptions?.modelSettings ?? {}),\n tool_choice: toolChoice,\n });\n\n /**\n * Create a model runnable with the prompt and agent name\n * Use current SystemMessage state (which may have been modified by middleware)\n */\n const modelRunnable =\n this.#options.includeAgentName === \"inline\"\n ? withAgentName(modelWithTools, this.#options.includeAgentName)\n : modelWithTools;\n\n return modelRunnable;\n }\n\n getState(): {\n messages: BaseMessage[];\n } {\n const state = super.getState();\n const origState = state && !(state instanceof Command) ? state : {};\n\n return {\n messages: [],\n ...origState,\n };\n 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