@langchain/community
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Third-party integrations for LangChain.js
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{"version":3,"file":"ibm.cjs","names":["_convertToolCallIdToMistralCompatible","convertLangChainToolCallToOpenAI","AIMessage","ChatMessage","HumanMessageChunk","AIMessageChunk","ToolMessageChunk","FunctionMessageChunk","ChatMessageChunk","BaseChatModel","authenticateAndSetGatewayInstance","authenticateAndSetInstance","AsyncCaller","ChatGenerationChunk","StructuredOutputParser","JsonOutputParser","WatsonxToolsOutputParser","RunnablePassthrough","RunnableSequence"],"sources":["../../src/chat_models/ibm.ts"],"sourcesContent":["import {\n AIMessage,\n AIMessageChunk,\n ChatMessage,\n ChatMessageChunk,\n FunctionMessageChunk,\n HumanMessageChunk,\n isAIMessage,\n MessageType,\n ToolMessageChunk,\n UsageMetadata,\n type BaseMessage,\n} from \"@langchain/core/messages\";\nimport {\n BaseLanguageModelInput,\n FunctionDefinition,\n StructuredOutputMethodOptions,\n} from \"@langchain/core/language_models/base\";\nimport { CallbackManagerForLLMRun } from \"@langchain/core/callbacks/manager\";\nimport {\n BaseChatModel,\n BindToolsInput,\n LangSmithParams,\n type BaseChatModelParams,\n} from \"@langchain/core/language_models/chat_models\";\nimport {\n ChatGeneration,\n ChatGenerationChunk,\n ChatResult,\n} from \"@langchain/core/outputs\";\nimport { AsyncCaller } from \"@langchain/core/utils/async_caller\";\nimport {\n DeploymentsTextChatParams,\n RequestCallbacks,\n TextChatMessagesTextChatMessageAssistant,\n TextChatParameterTools,\n TextChatParams,\n TextChatResponse,\n TextChatResponseFormat,\n TextChatResultChoice,\n TextChatResultMessage,\n TextChatToolCall,\n TextChatUsage,\n} from \"@ibm-cloud/watsonx-ai/dist/watsonx-ai-ml/vml_v1.js\";\nimport { WatsonXAI, Stream } from \"@ibm-cloud/watsonx-ai\";\nimport { Response } from \"@ibm-cloud/watsonx-ai/base\";\nimport {\n convertLangChainToolCallToOpenAI,\n makeInvalidToolCall,\n parseToolCall,\n} from \"@langchain/core/output_parsers/openai_tools\";\nimport { ToolCallChunk } from \"@langchain/core/messages/tool\";\nimport {\n Runnable,\n RunnablePassthrough,\n RunnableSequence,\n} from \"@langchain/core/runnables\";\nimport {\n BaseLLMOutputParser,\n JsonOutputParser,\n StructuredOutputParser,\n} from \"@langchain/core/output_parsers\";\nimport {\n InteropZodType,\n isInteropZodSchema,\n} from \"@langchain/core/utils/types\";\nimport {\n JsonSchema7Type,\n toJsonSchema,\n} from \"@langchain/core/utils/json_schema\";\nimport { NewTokenIndices } from \"@langchain/core/callbacks/base\";\nimport {\n ChatObjectStream,\n ChatsChoice,\n ChatsMessage,\n ChatsRequestTool,\n ChatsResponse,\n CreateChatCompletionsParams,\n Gateway,\n} from \"@ibm-cloud/watsonx-ai/gateway\";\nimport { WatsonxAuth, XOR, WatsonxBaseChatParams } from \"../types/ibm.js\";\nimport {\n _convertToolCallIdToMistralCompatible,\n authenticateAndSetGatewayInstance,\n authenticateAndSetInstance,\n checkValidProps,\n expectOneOf,\n WatsonxToolsOutputParser,\n} from \"../utils/ibm.js\";\n\n// Ensuring back compatibility\nexport interface WatsonxCallParams extends WatsonxCallOptionsChat {}\nexport interface WatsonxCallDeployedParams extends DeploymentsTextChatParams {}\n\nexport interface WatsonxDeltaStream {\n role?: string;\n content?: string;\n tool_calls?: TextChatToolCall[];\n refusal?: string;\n}\n\n/** Project/space params */\n\nexport interface WatsonxCallOptionsChat\n extends\n Partial<Omit<TextChatParams, \"modelId\" | \"toolChoice\" | \"messages\">>,\n WatsonxBaseChatParams {\n model?: string;\n}\n\nexport interface WatsonxProjectSpaceParams extends WatsonxCallOptionsChat {\n model: string;\n serviceUrl: string;\n version: string;\n}\n/** Deployed params */\nexport interface WatsonxCallOptionsDeployedChat\n extends\n Partial<Omit<DeploymentsTextChatParams, \"messages\">>,\n WatsonxBaseChatParams {}\n\nexport interface WatsonxDeployedParams extends WatsonxCallOptionsDeployedChat {\n serviceUrl: string;\n version: string;\n}\n/** Gateway params */\nexport interface WatsonxGatewayChatKwargs extends Omit<\n CreateChatCompletionsParams,\n keyof TextChatParams | \"model\" | \"stream\" | \"messages\"\n> {}\nexport interface WatsonxCallOptionsGatewayChat\n extends\n Omit<\n CreateChatCompletionsParams,\n | \"stream\"\n | \"toolChoice\"\n | \"messages\"\n | \"prompt\"\n | keyof WatsonxGatewayChatKwargs\n >,\n WatsonxBaseChatParams {\n /** Additional parameters usable only in model gateway */\n modelGatewayKwargs?: WatsonxGatewayChatKwargs;\n}\n\nexport interface WatsonxGatewayChatParams extends WatsonxCallOptionsGatewayChat {\n serviceUrl: string;\n version: string;\n}\n\n// Chat input for different chat modes\nexport interface ChatWatsonxInput\n extends BaseChatModelParams, WatsonxProjectSpaceParams {}\n\nexport interface ChatWatsonxDeployedInput\n extends BaseChatModelParams, WatsonxDeployedParams {}\n\nexport interface ChatWatsonxGatewayInput\n extends BaseChatModelParams, WatsonxGatewayChatParams {\n /** Flag indicating weather to use Model Gateway or no */\n modelGateway: boolean;\n}\n\n// Chat type to be extended by chat class\nexport type ChatWatsonxConstructor = BaseChatModelParams &\n Partial<WatsonxBaseChatParams> &\n WatsonxDeployedParams &\n WatsonxCallParams &\n WatsonxDeployedParams;\n\nfunction _convertToValidToolId(model: string, tool_call_id: string): string {\n if (model.startsWith(\"mistralai\") && tool_call_id)\n return _convertToolCallIdToMistralCompatible(tool_call_id);\n return tool_call_id;\n}\n\ntype ChatWatsonxToolType =\n | BindToolsInput\n | TextChatParameterTools\n | ChatsRequestTool;\n\nfunction _convertToolToWatsonxTool(\n tools: ChatWatsonxToolType[]\n): WatsonXAI.TextChatParameterTools[] {\n return tools.map((tool) => {\n if (\"type\" in tool) {\n return tool as WatsonXAI.TextChatParameterTools;\n }\n // Check if schema is a Zod schema or already a JSON schema\n const parameters = isInteropZodSchema(tool.schema)\n ? toJsonSchema(tool.schema)\n : tool.schema;\n\n return {\n type: \"function\",\n function: {\n name: tool.name,\n description: tool.description ?? `Tool: ${tool.name}`,\n parameters,\n },\n };\n });\n}\nconst MESSAGE_TYPE_TO_ROLE_MAP: Record<MessageType, string> = {\n human: \"user\",\n ai: \"assistant\",\n system: \"system\",\n tool: \"tool\",\n function: \"function\",\n generic: \"assistant\",\n developer: \"developer\",\n remove: \"function\",\n};\n\nconst getRole = (role: MessageType): string => {\n const watsonRole = MESSAGE_TYPE_TO_ROLE_MAP[role];\n if (!watsonRole) {\n throw new Error(`Unknown message type: ${role}`);\n }\n return watsonRole;\n};\n\nconst getToolCalls = (message: BaseMessage, model?: string) => {\n if (isAIMessage(message) && message.tool_calls?.length) {\n return message.tool_calls\n .map((toolCall) => ({\n ...toolCall,\n id: _convertToValidToolId(model ?? \"\", toolCall.id ?? \"\"),\n }))\n .map(convertLangChainToolCallToOpenAI);\n }\n return undefined;\n};\n\nfunction _convertMessagesToWatsonxMessages(\n messages: BaseMessage[],\n model?: string\n): TextChatResultMessage[] | ChatsMessage[] {\n return messages.map((message) => {\n const toolCalls = getToolCalls(message, model);\n const content = toolCalls === undefined ? message.content : \"\";\n if (\"tool_call_id\" in message && typeof message.tool_call_id === \"string\") {\n return {\n role: getRole(message.getType()),\n content,\n name: message.name,\n tool_call_id: _convertToValidToolId(model ?? \"\", message.tool_call_id),\n };\n }\n\n return {\n role: getRole(message.getType()),\n content,\n tool_calls: toolCalls,\n };\n });\n}\n\nfunction _watsonxResponseToChatMessage(\n choice: TextChatResultChoice | ChatsChoice,\n rawDataId: string,\n usage?: TextChatUsage\n): BaseMessage {\n const { message } = choice;\n if (!message) throw new Error(\"No message presented\");\n const rawToolCalls = message.tool_calls ?? [];\n\n switch (message.role) {\n case \"assistant\": {\n const toolCalls = [];\n const invalidToolCalls = [];\n for (const rawToolCall of rawToolCalls) {\n try {\n const parsed = parseToolCall(rawToolCall, { returnId: true });\n toolCalls.push(parsed);\n } catch (e: unknown) {\n invalidToolCalls.push(\n makeInvalidToolCall(rawToolCall, (e as Error).message)\n );\n }\n }\n const additional_kwargs: Record<string, unknown> = {\n tool_calls: rawToolCalls.map((toolCall) => ({\n ...toolCall,\n type: \"function\",\n })),\n ...(\"reasoning_content\" in message\n ? { reasoning: message?.reasoning_content }\n : {}),\n };\n\n return new AIMessage({\n id: rawDataId,\n content: message.content ?? \"\",\n tool_calls: toolCalls,\n invalid_tool_calls: invalidToolCalls,\n additional_kwargs,\n usage_metadata: usage\n ? {\n input_tokens: usage.prompt_tokens ?? 0,\n output_tokens: usage.completion_tokens ?? 0,\n total_tokens: usage.total_tokens ?? 0,\n }\n : undefined,\n });\n }\n default:\n return new ChatMessage(message.content ?? \"\", message.role ?? \"unknown\");\n }\n}\n\nfunction _convertDeltaToMessageChunk(\n helperIndex: { [\"value\"]: number },\n delta: WatsonxDeltaStream,\n rawData: TextChatResponse | ChatsResponse,\n model?: string,\n usage?: TextChatUsage,\n defaultRole?: TextChatMessagesTextChatMessageAssistant.Constants.Role\n) {\n if (delta.refusal) throw new Error(delta.refusal);\n\n const rawToolCalls = delta.tool_calls?.length\n ? delta.tool_calls?.map(\n (\n toolCall,\n index\n ): TextChatToolCall & { index: number; type: \"function\" } => {\n const validId =\n toolCall.id && toolCall.id !== \"\"\n ? _convertToValidToolId(model ?? \"\", toolCall.id)\n : undefined;\n if (toolCall.id) helperIndex.value += 1;\n return {\n index:\n delta?.tool_calls && delta?.tool_calls?.length > 1\n ? index\n : helperIndex.value,\n ...toolCall,\n ...(validId !== null && { id: validId }),\n type: \"function\",\n };\n }\n )\n : undefined;\n\n const role = delta.role || defaultRole || \"assistant\";\n const content = delta.content ?? \"\";\n const additional_kwargs = {\n ...(rawToolCalls ? { tool_calls: rawToolCalls } : {}),\n ...(\"reasoning_content\" in delta\n ? { reasoning: delta?.reasoning_content }\n : {}),\n };\n\n const usageMetadata = {\n input_tokens: usage?.prompt_tokens ?? 0,\n output_tokens: usage?.completion_tokens ?? 0,\n total_tokens: usage?.total_tokens ?? 0,\n };\n switch (role) {\n case \"user\":\n return new HumanMessageChunk({ content });\n\n case \"assistant\": {\n // Extract tool call chunks creation\n const toolCallChunks: ToolCallChunk[] = [];\n if (rawToolCalls && rawToolCalls?.length > 0) {\n for (const rawToolCallChunk of rawToolCalls) {\n const toolCallName = rawToolCallChunk.function.name;\n toolCallChunks.push({\n name: toolCallName.length > 0 ? toolCallName : undefined,\n args: rawToolCallChunk.function?.arguments,\n id: rawToolCallChunk.id,\n index: rawToolCallChunk.index,\n type: \"tool_call_chunk\",\n });\n }\n }\n\n return new AIMessageChunk({\n content,\n tool_call_chunks: toolCallChunks,\n additional_kwargs,\n usage_metadata: usageMetadata,\n id: rawData.id,\n });\n }\n\n case \"tool\":\n if (rawToolCalls) {\n return new ToolMessageChunk({\n content,\n additional_kwargs,\n tool_call_id: _convertToValidToolId(model ?? \"\", rawToolCalls[0].id),\n });\n }\n return null;\n\n case \"function\":\n return new FunctionMessageChunk({\n content,\n additional_kwargs,\n });\n\n default:\n return new ChatMessageChunk({ content, role });\n }\n}\n\nfunction _convertToolChoiceToWatsonxToolChoice(\n toolChoice: TextChatParameterTools | string | \"auto\" | \"any\"\n) {\n if (typeof toolChoice === \"string\") {\n if (toolChoice === \"any\" || toolChoice === \"required\") {\n return { toolChoiceOption: \"required\" };\n } else if (toolChoice === \"auto\" || toolChoice === \"none\") {\n return { toolChoiceOption: toolChoice };\n } else {\n return {\n toolChoice: {\n type: \"function\",\n function: { name: toolChoice },\n },\n };\n }\n } else if (\"type\" in toolChoice) return { toolChoice };\n else\n throw new Error(\n `Unrecognized tool_choice type. Expected string or TextChatParameterTools. Recieved ${toolChoice}`\n );\n}\n\n// Combined input for chat excluding each mode to not be present at the same time\nexport type ChatWatsonxConstructorInput = XOR<\n XOR<ChatWatsonxInput, ChatWatsonxDeployedInput>,\n ChatWatsonxGatewayInput\n> &\n WatsonxAuth;\n\n// Helper to force type expansion\nexport type ChatWatsonxCallOptions = XOR<\n XOR<WatsonxCallOptionsChat, WatsonxCallOptionsDeployedChat>,\n WatsonxCallOptionsGatewayChat\n>;\n\nexport class ChatWatsonx<\n CallOptions extends ChatWatsonxCallOptions = ChatWatsonxCallOptions,\n>\n extends BaseChatModel<CallOptions>\n implements ChatWatsonxConstructor\n{\n static lc_name() {\n return \"ChatWatsonx\";\n }\n\n lc_serializable = true;\n\n get lc_secrets(): { [key: string]: string } {\n return {\n authenticator: \"AUTHENTICATOR\",\n apiKey: \"WATSONX_AI_APIKEY\",\n apikey: \"WATSONX_AI_APIKEY\",\n watsonxAIAuthType: \"WATSONX_AI_AUTH_TYPE\",\n watsonxAIApikey: \"WATSONX_AI_APIKEY\",\n watsonxAIBearerToken: \"WATSONX_AI_BEARER_TOKEN\",\n watsonxAIUsername: \"WATSONX_AI_USERNAME\",\n watsonxAIPassword: \"WATSONX_AI_PASSWORD\",\n watsonxAIUrl: \"WATSONX_AI_URL\",\n };\n }\n\n get lc_aliases(): { [key: string]: string } {\n return {\n authenticator: \"authenticator\",\n apikey: \"watsonx_ai_apikey\",\n apiKey: \"watsonx_ai_apikey\",\n watsonxAIAuthType: \"watsonx_ai_auth_type\",\n watsonxAIApikey: \"watsonx_ai_apikey\",\n watsonxAIBearerToken: \"watsonx_ai_bearer_token\",\n watsonxAIUsername: \"watsonx_ai_username\",\n watsonxAIPassword: \"watsonx_ai_password\",\n watsonxAIUrl: \"watsonx_ai_url\",\n };\n }\n\n getLsParams(options: this[\"ParsedCallOptions\"]): LangSmithParams {\n const params = this.invocationParams(options);\n return {\n ls_provider: \"watsonx\",\n ls_model_name: this.model,\n ls_model_type: \"chat\",\n ls_temperature: params.temperature ?? undefined,\n ls_max_tokens: params.maxTokens ?? undefined,\n };\n }\n\n private checkValidProperties(\n fields: this[\"ParsedCallOptions\"] | ChatWatsonxConstructorInput\n ) {\n const PROPERTY_GROUPS = {\n ALWAYS_ALLOWED: [\n \"headers\",\n \"signal\",\n \"tool_choice\",\n \"promptIndex\",\n \"ls_structured_output_format\",\n \"watsonxCallbacks\",\n \"writer\",\n \"interrupt\",\n ],\n\n AUTH: [\n \"serviceUrl\",\n \"watsonxAIApikey\",\n \"watsonxAIBearerToken\",\n \"watsonxAIUsername\",\n \"watsonxAIPassword\",\n \"watsonxAIUrl\",\n \"watsonxAIAuthType\",\n \"disableSSL\",\n ],\n\n SHARED: [\n \"maxRetries\",\n \"authenticator\",\n \"serviceUrl\",\n \"version\",\n \"streaming\",\n \"callbackManager\",\n \"callbacks\",\n \"maxConcurrency\",\n \"cache\",\n \"metadata\",\n \"concurrency\",\n \"onFailedAttempt\",\n \"verbose\",\n \"tags\",\n \"headers\",\n \"disableStreaming\",\n \"timeout\",\n \"stopSequences\",\n ],\n\n GATEWAY: [\n \"tools\",\n \"frequencyPenalty\",\n \"logitBias\",\n \"logprobs\",\n \"topLogprobs\",\n \"maxTokens\",\n \"n\",\n \"presencePenalty\",\n \"responseFormat\",\n \"seed\",\n \"stop\",\n \"temperature\",\n \"topP\",\n \"model\",\n \"modelGatewayKwargs\",\n \"modelGateway\",\n \"reasoningEffort\",\n ],\n\n DEPLOYMENT: [\"idOrName\"],\n\n PROJECT_OR_SPACE: [\n \"spaceId\",\n \"projectId\",\n \"tools\",\n \"toolChoiceOption\",\n \"frequencyPenalty\",\n \"logitBias\",\n \"logprobs\",\n \"topLogprobs\",\n \"maxTokens\",\n \"maxCompletionTokens\",\n \"n\",\n \"presencePenalty\",\n \"responseFormat\",\n \"seed\",\n \"stop\",\n \"temperature\",\n \"topP\",\n \"timeLimit\",\n \"model\",\n \"reasoningEffort\",\n \"includeReasoning\",\n ],\n };\n\n const validProps: string[] = [\n ...PROPERTY_GROUPS.ALWAYS_ALLOWED,\n ...PROPERTY_GROUPS.AUTH,\n ...PROPERTY_GROUPS.SHARED,\n ];\n\n if (this.modelGateway) {\n validProps.push(...PROPERTY_GROUPS.GATEWAY);\n } else if (this.idOrName) {\n validProps.push(...PROPERTY_GROUPS.DEPLOYMENT);\n } else if (this.spaceId || this.projectId) {\n validProps.push(...PROPERTY_GROUPS.PROJECT_OR_SPACE);\n }\n\n checkValidProps(fields, validProps);\n }\n\n protected service?: WatsonXAI;\n\n protected gateway?: Gateway;\n\n model?: string;\n\n version = \"2024-05-31\";\n\n modelGateway = false;\n\n maxTokens?: number;\n\n maxCompletionTokens?: number;\n\n maxRetries = 0;\n\n serviceUrl: string;\n\n spaceId?: string;\n\n projectId?: string;\n\n idOrName?: string;\n\n frequencyPenalty?: number;\n\n logprobs?: boolean;\n\n topLogprobs?: number;\n\n n?: number;\n\n presencePenalty?: number;\n\n temperature?: number;\n\n topP?: number;\n\n timeLimit?: number;\n\n includeReasoning?: boolean;\n\n reasoningEffort?: \"low\" | \"medium\" | \"high\";\n\n maxConcurrency?: number;\n\n responseFormat?: TextChatResponseFormat;\n\n streaming = false;\n\n modelGatewayKwargs?: WatsonxGatewayChatKwargs;\n\n watsonxCallbacks?: RequestCallbacks;\n\n constructor(fields: ChatWatsonxConstructorInput) {\n super(fields);\n const uniqueProps = [\"spaceId\", \"projectId\", \"idOrName\", \"modelGateway\"];\n expectOneOf(fields, uniqueProps, true);\n\n this.idOrName = fields?.idOrName;\n this.projectId = fields?.projectId;\n this.modelGateway = fields.modelGateway || this.modelGateway;\n this.spaceId = fields?.spaceId;\n\n this.checkValidProperties(fields);\n\n this.model = fields?.model ?? this.model;\n this.projectId = fields?.projectId;\n this.spaceId = fields?.spaceId;\n this.watsonxCallbacks = fields?.watsonxCallbacks;\n this.serviceUrl = fields?.serviceUrl;\n this.version = fields?.version ?? this.version;\n\n this.temperature = fields?.temperature;\n this.maxRetries = fields?.maxRetries || this.maxRetries;\n this.maxConcurrency = fields?.maxConcurrency;\n this.frequencyPenalty = fields?.frequencyPenalty;\n this.maxTokens = fields?.maxTokens ?? this.maxTokens;\n this.maxCompletionTokens = fields?.maxCompletionTokens;\n this.presencePenalty = fields?.presencePenalty;\n this.topP = fields?.topP;\n this.responseFormat = fields?.responseFormat ?? this.responseFormat;\n this.streaming = fields?.streaming ?? this.streaming;\n this.n = fields?.n ?? this.n;\n this.timeLimit = fields?.timeLimit;\n this.reasoningEffort = fields?.reasoningEffort;\n this.includeReasoning = fields?.includeReasoning;\n\n this.modelGateway = fields?.modelGateway ?? this.modelGateway;\n this.modelGatewayKwargs = fields?.modelGatewayKwargs;\n\n const {\n watsonxAIApikey,\n watsonxAIAuthType,\n watsonxAIBearerToken,\n watsonxAIUsername,\n watsonxAIPassword,\n watsonxAIUrl,\n disableSSL,\n version,\n serviceUrl,\n } = fields;\n\n const authData = {\n watsonxAIApikey,\n watsonxAIAuthType,\n watsonxAIBearerToken,\n watsonxAIUsername,\n watsonxAIPassword,\n watsonxAIUrl,\n disableSSL,\n version,\n serviceUrl,\n };\n\n if (this.modelGateway) {\n const chatGateway = authenticateAndSetGatewayInstance(authData);\n if (chatGateway) this.gateway = chatGateway;\n else throw new Error(\"You have not provided any type of authentication\");\n } else {\n const service = authenticateAndSetInstance(authData);\n\n if (service) this.service = service;\n else throw new Error(\"You have not provided any type of authentication\");\n }\n }\n\n _llmType() {\n return \"watsonx\";\n }\n\n invocationParams(options: this[\"ParsedCallOptions\"]) {\n const { tools, responseFormat, timeLimit, tool_choice } = options;\n\n expectOneOf(options, [\"spaceId\", \"projectId\", \"idOrName\", \"modelGateway\"]);\n\n const paramDefaults = {\n maxTokens: options.maxTokens ?? this.maxTokens,\n maxCompletionTokens:\n options.maxCompletionTokens ?? this.maxCompletionTokens,\n temperature: options.temperature ?? this.temperature,\n topP: options.topP ?? this.topP,\n presencePenalty: options.presencePenalty ?? this.presencePenalty,\n n: options.n ?? this.n,\n topLogprobs: options.topLogprobs ?? this.topLogprobs,\n logprobs: options.logprobs ?? this.logprobs,\n frequencyPenalty: options.frequencyPenalty ?? this.frequencyPenalty,\n reasoningEffort: options.reasoningEffort ?? this.reasoningEffort,\n };\n\n const toolParams: Record<string, WatsonXAI.TextChatParameterTools[]> = tools\n ? { tools: _convertToolToWatsonxTool(tools) }\n : {};\n\n const toolChoiceParams: Record<\n string,\n TextChatParameterTools | string | undefined\n > = tool_choice ? _convertToolChoiceToWatsonxToolChoice(tool_choice) : {};\n\n // oxlint-disable-next-line typescript/no-explicit-any\n const gatewayParams: Record<string, any> = this.modelGateway\n ? { ...this.modelGatewayKwargs }\n : {\n timeLimit: timeLimit ?? this.timeLimit,\n projectId: options.projectId ?? this.projectId,\n includeReasoning: options.includeReasoning ?? this.includeReasoning,\n };\n\n return {\n ...paramDefaults,\n ...toolParams,\n responseFormat,\n ...toolChoiceParams,\n ...gatewayParams,\n };\n }\n\n invocationCallbacks(options: this[\"ParsedCallOptions\"]) {\n return options.watsonxCallbacks ?? this.watsonxCallbacks;\n }\n\n override bindTools(\n tools: ChatWatsonxToolType[],\n kwargs?: Partial<CallOptions>\n ): Runnable<BaseLanguageModelInput, AIMessageChunk, CallOptions> {\n return this.withConfig({\n tools: _convertToolToWatsonxTool(tools),\n ...kwargs,\n } as CallOptions);\n }\n\n scopeId(\n options?: this[\"ParsedCallOptions\"]\n ):\n | { idOrName: string }\n | { projectId: string; modelId: string }\n | { spaceId: string; modelId: string }\n | { modelId: string }\n | { model: string } {\n const model = options?.model ?? this.model;\n const projectId = options?.projectId ?? this.projectId;\n const spaceId = options?.spaceId ?? this.spaceId;\n const idOrName = options?.idOrName ?? this.idOrName;\n\n if (this.modelGateway) {\n if (!model) {\n throw new Error(\n \"No model provided! Model gateway expects model to be provided\"\n );\n }\n return { model };\n }\n\n if (projectId && model) return { projectId, modelId: model };\n if (spaceId && model) return { spaceId, modelId: model };\n if (idOrName) return { idOrName };\n if (model) return { modelId: model };\n\n throw new Error(\"No id or model provided!\");\n }\n\n async completionWithRetry<T>(\n callback: () => T,\n options?: this[\"ParsedCallOptions\"]\n ) {\n const caller = new AsyncCaller({\n maxConcurrency: options?.maxConcurrency ?? this.maxConcurrency,\n maxRetries: this.maxRetries,\n });\n const result = options\n ? caller.callWithOptions(\n {\n signal: options.signal,\n },\n async () => callback()\n )\n : caller.call(async () => callback());\n\n return result;\n }\n\n private async _chatModelGateway<S extends boolean = false>(\n scopeId: ReturnType<ChatWatsonx[\"scopeId\"]>,\n params: ReturnType<ChatWatsonx[\"invocationParams\"]>,\n messages: ChatsMessage[],\n signal?: AbortSignal,\n stream: S = false as S\n ): Promise<\n S extends true ? Stream<ChatObjectStream> : Response<ChatsResponse>\n > {\n if (this.gateway) {\n if (\"model\" in scopeId) {\n return this.gateway.chat.completion.create({\n ...params,\n ...scopeId,\n signal,\n stream,\n ...(stream ? { returnObject: true } : {}),\n messages,\n });\n }\n throw new Error(\n \"No 'model' specified. Model needs to be spcified for model gateway\"\n );\n }\n throw new Error(\n \"'gateway' instance is not set. Please check your implementation\"\n );\n }\n\n async _generate(\n messages: BaseMessage[],\n options: this[\"ParsedCallOptions\"],\n runManager?: CallbackManagerForLLMRun\n ): Promise<ChatResult> {\n if (this.streaming) {\n const stream = this._streamResponseChunks(messages, options, runManager);\n const finalChunks: Record<number, ChatGenerationChunk> = {};\n let tokenUsage: UsageMetadata = {\n input_tokens: 0,\n output_tokens: 0,\n total_tokens: 0,\n };\n const tokenUsages: UsageMetadata[] = [];\n for await (const chunk of stream) {\n const message = chunk.message as AIMessageChunk;\n const usageMetadata = message?.usage_metadata as UsageMetadata;\n if (usageMetadata) {\n const completion = chunk.generationInfo?.completion;\n if (tokenUsages[completion])\n tokenUsages[completion].output_tokens =\n usageMetadata?.output_tokens;\n else tokenUsages[completion] = usageMetadata;\n }\n chunk.message.response_metadata = {\n model: this.model,\n ...chunk.generationInfo,\n ...chunk.message.response_metadata,\n };\n\n const index =\n (chunk.generationInfo as NewTokenIndices)?.completion ?? 0;\n if (finalChunks[index] === undefined) {\n finalChunks[index] = chunk;\n } else {\n finalChunks[index] = finalChunks[index].concat(chunk);\n }\n }\n tokenUsage = tokenUsages.reduce((acc, curr) => {\n return {\n input_tokens: acc.input_tokens + curr.input_tokens,\n output_tokens: acc.output_tokens + curr.output_tokens,\n total_tokens: acc.total_tokens + curr.total_tokens,\n };\n });\n const generations = Object.entries(finalChunks)\n .sort(([aKey], [bKey]) => parseInt(aKey, 10) - parseInt(bKey, 10))\n .map(([_, value]) => value);\n return { generations, llmOutput: { tokenUsage } };\n } else {\n const params = this.invocationParams(options);\n const scopeId = this.scopeId(options);\n const watsonxCallbacks = this.invocationCallbacks(options);\n const watsonxMessages = _convertMessagesToWatsonxMessages(\n messages,\n this.model\n );\n const callback = () => {\n if (this.modelGateway) {\n return this._chatModelGateway(\n scopeId,\n params,\n watsonxMessages,\n options.signal,\n false\n );\n }\n\n if (this.service) {\n if (\"idOrName\" in scopeId) {\n return this.service.deploymentsTextChat(\n {\n ...scopeId,\n messages: watsonxMessages,\n signal: options?.signal,\n },\n watsonxCallbacks\n );\n }\n\n if (\"modelId\" in scopeId)\n return this.service.textChat(\n {\n ...params,\n ...scopeId,\n messages: watsonxMessages,\n signal: options?.signal,\n },\n watsonxCallbacks\n );\n }\n\n throw new Error(\n \"No service or gateway set. 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RunnablePassthrough.assign({\n // oxlint-disable-next-line typescript/no-explicit-any\n parsed: (input: any, config) => outputParser.invoke(input.raw, config),\n });\n const parserNone = RunnablePassthrough.assign({\n parsed: () => null,\n });\n const parsedWithFallback = parserAssign.withFallbacks({\n fallbacks: [parserNone],\n });\n return RunnableSequence.from<\n BaseLanguageModelInput,\n { raw: BaseMessage; parsed: RunOutput }\n >([\n {\n raw: llm,\n },\n parsedWithFallback,\n ]);\n 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