langchain/dist/chat_models/universal.d.ts.map

Typescript bindings for langchain

{"version":3,"file":"universal.d.ts","names":["BaseLanguageModelInput","ToolDefinition","BaseChatModel","BaseChatModelParams","BindToolsInput","BaseChatModelCallOptions","BaseMessage","AIMessageChunk","MessageStructure","RunnableBatchOptions","RunnableBinding","RunnableConfig","RunnableToolLike","IterableReadableStream","LogStreamCallbackHandlerInput","RunLogPatch","StreamEvent","StructuredToolInterface","CallbackManagerForLLMRun","ChatResult","ModelProfile","EventStreamCallbackHandlerInput","Omit","ConfigurableChatModelCallOptions","Record","MODEL_PROVIDER_CONFIG","ChatModelProvider","getChatModelByClassName","Promise","_inferModelProvider","ConfigurableModelFields","ConfigurableModel","RunInput","CallOptions","Partial","Error","AsyncGenerator","Uint8Array","InitChatModelFields","ConfigurableFields","initChatModel"],"sources":["../../src/chat_models/universal.d.ts"],"sourcesContent":["import { BaseLanguageModelInput, ToolDefinition } from \"@langchain/core/language_models/base\";\nimport { BaseChatModel, BaseChatModelParams, BindToolsInput, type BaseChatModelCallOptions } from \"@langchain/core/language_models/chat_models\";\nimport { BaseMessage, type AIMessageChunk, MessageStructure } from \"@langchain/core/messages\";\nimport { type RunnableBatchOptions, RunnableBinding, type RunnableConfig, type RunnableToolLike } from \"@langchain/core/runnables\";\nimport { IterableReadableStream } from \"@langchain/core/utils/stream\";\nimport { type LogStreamCallbackHandlerInput, type RunLogPatch, type StreamEvent } from \"@langchain/core/tracers/log_stream\";\nimport { type StructuredToolInterface } from \"@langchain/core/tools\";\nimport { CallbackManagerForLLMRun } from \"@langchain/core/callbacks/manager\";\nimport { ChatResult } from \"@langchain/core/outputs\";\nimport { ModelProfile } from \"@langchain/core/language_models/profile\";\ninterface EventStreamCallbackHandlerInput extends Omit<LogStreamCallbackHandlerInput, \"_schemaFormat\"> {\n}\nexport interface ConfigurableChatModelCallOptions extends BaseChatModelCallOptions {\n    tools?: (StructuredToolInterface | Record<string, unknown> | ToolDefinition | RunnableToolLike)[];\n}\nexport declare const MODEL_PROVIDER_CONFIG: {\n    readonly openai: {\n        readonly package: \"@langchain/openai\";\n        readonly className: \"ChatOpenAI\";\n    };\n    readonly anthropic: {\n        readonly package: \"@langchain/anthropic\";\n        readonly className: \"ChatAnthropic\";\n    };\n    readonly azure_openai: {\n        readonly package: \"@langchain/openai\";\n        readonly className: \"AzureChatOpenAI\";\n    };\n    readonly cohere: {\n        readonly package: \"@langchain/cohere\";\n        readonly className: \"ChatCohere\";\n    };\n    readonly \"google-vertexai\": {\n        readonly package: \"@langchain/google-vertexai\";\n        readonly className: \"ChatVertexAI\";\n    };\n    readonly \"google-vertexai-web\": {\n        readonly package: \"@langchain/google-vertexai-web\";\n        readonly className: \"ChatVertexAI\";\n    };\n    readonly \"google-genai\": {\n        readonly package: \"@langchain/google-genai\";\n        readonly className: \"ChatGoogleGenerativeAI\";\n    };\n    readonly ollama: {\n        readonly package: \"@langchain/ollama\";\n        readonly className: \"ChatOllama\";\n    };\n    readonly mistralai: {\n        readonly package: \"@langchain/mistralai\";\n        readonly className: \"ChatMistralAI\";\n    };\n    readonly mistral: {\n        readonly package: \"@langchain/mistralai\";\n        readonly className: \"ChatMistralAI\";\n    };\n    readonly groq: {\n        readonly package: \"@langchain/groq\";\n        readonly className: \"ChatGroq\";\n    };\n    readonly cerebras: {\n        readonly package: \"@langchain/cerebras\";\n        readonly className: \"ChatCerebras\";\n    };\n    readonly bedrock: {\n        readonly package: \"@langchain/aws\";\n        readonly className: \"ChatBedrockConverse\";\n    };\n    readonly deepseek: {\n        readonly package: \"@langchain/deepseek\";\n        readonly className: \"ChatDeepSeek\";\n    };\n    readonly xai: {\n        readonly package: \"@langchain/xai\";\n        readonly className: \"ChatXAI\";\n    };\n    readonly fireworks: {\n        readonly package: \"@langchain/community/chat_models/fireworks\";\n        readonly className: \"ChatFireworks\";\n        readonly hasCircularDependency: true;\n    };\n    readonly together: {\n        readonly package: \"@langchain/community/chat_models/togetherai\";\n        readonly className: \"ChatTogetherAI\";\n        readonly hasCircularDependency: true;\n    };\n    readonly perplexity: {\n        readonly package: \"@langchain/community/chat_models/perplexity\";\n        readonly className: \"ChatPerplexity\";\n        readonly hasCircularDependency: true;\n    };\n};\nexport type ChatModelProvider = keyof typeof MODEL_PROVIDER_CONFIG;\n/**\n * Helper function to get a chat model class by its class name\n * @param className The class name (e.g., \"ChatOpenAI\", \"ChatAnthropic\")\n * @returns The imported model class or undefined if not found\n */\nexport declare function getChatModelByClassName(className: string): Promise<any>;\n/**\n * Attempts to infer the model provider based on the given model name.\n *\n * @param {string} modelName - The name of the model to infer the provider for.\n * @returns {string | undefined} The inferred model provider name, or undefined if unable to infer.\n *\n * @example\n * _inferModelProvider(\"gpt-4\"); // returns \"openai\"\n * _inferModelProvider(\"claude-2\"); // returns \"anthropic\"\n * _inferModelProvider(\"unknown-model\"); // returns undefined\n */\nexport declare function _inferModelProvider(modelName: string): string | undefined;\ninterface ConfigurableModelFields extends BaseChatModelParams {\n    defaultConfig?: Record<string, any>;\n    /**\n     * @default \"any\"\n     */\n    configurableFields?: string[] | \"any\";\n    /**\n     * @default \"\"\n     */\n    configPrefix?: string;\n    /**\n     * Methods which should be called after the model is initialized.\n     * The key will be the method name, and the value will be the arguments.\n     */\n    queuedMethodOperations?: Record<string, any>;\n    /**\n     * Overrides the profiling information for the model. If not provided,\n     * the profile will be inferred from the inner model instance.\n     */\n    profile?: ModelProfile;\n}\n/**\n * Internal class used to create chat models.\n *\n * @internal\n */\nexport declare class ConfigurableModel<RunInput extends BaseLanguageModelInput = BaseLanguageModelInput, CallOptions extends ConfigurableChatModelCallOptions = ConfigurableChatModelCallOptions> extends BaseChatModel<CallOptions, AIMessageChunk> {\n    _llmType(): string;\n    lc_namespace: string[];\n    _defaultConfig?: Record<string, any>;\n    /**\n     * @default \"any\"\n     */\n    _configurableFields: string[] | \"any\";\n    /**\n     * @default \"\"\n     */\n    _configPrefix: string;\n    /**\n     * Methods which should be called after the model is initialized.\n     * The key will be the method name, and the value will be the arguments.\n     */\n    _queuedMethodOperations: Record<string, any>;\n    /** @internal */\n    private _modelInstanceCache;\n    /** @internal */\n    private _profile?;\n    constructor(fields: ConfigurableModelFields);\n    _getModelInstance(config?: RunnableConfig): Promise<BaseChatModel<BaseChatModelCallOptions, AIMessageChunk<MessageStructure>>>;\n    _generate(messages: BaseMessage[], options?: this[\"ParsedCallOptions\"], runManager?: CallbackManagerForLLMRun): Promise<ChatResult>;\n    bindTools(tools: BindToolsInput[], params?: Record<string, any>): ConfigurableModel<RunInput, CallOptions>;\n    withStructuredOutput: BaseChatModel[\"withStructuredOutput\"];\n    _modelParams(config?: RunnableConfig): Record<string, any>;\n    _removePrefix(str: string, prefix: string): string;\n    /**\n     * Bind config to a Runnable, returning a new Runnable.\n     * @param {RunnableConfig | undefined} [config] - The config to bind.\n     * @returns {RunnableBinding<RunInput, RunOutput, CallOptions>} A new RunnableBinding with the bound config.\n     */\n    withConfig(config?: RunnableConfig): RunnableBinding<RunInput, AIMessageChunk, CallOptions>;\n    invoke(input: RunInput, options?: CallOptions): Promise<AIMessageChunk>;\n    stream(input: RunInput, options?: CallOptions): Promise<IterableReadableStream<AIMessageChunk>>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions?: false;\n    }): Promise<AIMessageChunk[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions & {\n        returnExceptions: true;\n    }): Promise<(AIMessageChunk | Error)[]>;\n    batch(inputs: RunInput[], options?: Partial<CallOptions> | Partial<CallOptions>[], batchOptions?: RunnableBatchOptions): Promise<(AIMessageChunk | Error)[]>;\n    transform(generator: AsyncGenerator<RunInput>, options: CallOptions): AsyncGenerator<AIMessageChunk>;\n    streamLog(input: RunInput, options?: Partial<CallOptions>, streamOptions?: Omit<LogStreamCallbackHandlerInput, \"autoClose\">): AsyncGenerator<RunLogPatch>;\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    /**\n     * Return profiling information for the model.\n     *\n     * @returns {ModelProfile} An object describing the model's capabilities and constraints\n     */\n    get profile(): ModelProfile;\n}\nexport interface InitChatModelFields extends Partial<Record<string, any>> {\n    modelProvider?: string;\n    configurableFields?: string[] | \"any\";\n    configPrefix?: string;\n}\nexport type ConfigurableFields = \"any\" | string[];\nexport declare function initChatModel<RunInput extends BaseLanguageModelInput = BaseLanguageModelInput, CallOptions extends ConfigurableChatModelCallOptions = ConfigurableChatModelCallOptions>(model: string, fields?: Partial<Record<string, any>> & {\n    modelProvider?: string;\n    configurableFields?: never;\n    configPrefix?: string;\n}): Promise<ConfigurableModel<RunInput, CallOptions>>;\nexport declare function initChatModel<RunInput extends BaseLanguageModelInput = BaseLanguageModelInput, CallOptions extends ConfigurableChatModelCallOptions = ConfigurableChatModelCallOptions>(model: never, options?: Partial<Record<string, any>> & {\n    modelProvider?: string;\n    configurableFields?: never;\n    configPrefix?: string;\n    profile?: ModelProfile;\n}): Promise<ConfigurableModel<RunInput, CallOptions>>;\nexport declare function initChatModel<RunInput extends BaseLanguageModelInput = BaseLanguageModelInput, CallOptions extends ConfigurableChatModelCallOptions = ConfigurableChatModelCallOptions>(model?: string, options?: Partial<Record<string, any>> & {\n    modelProvider?: string;\n    configurableFields?: ConfigurableFields;\n    configPrefix?: string;\n    profile?: ModelProfile;\n}): Promise<ConfigurableModel<RunInput, CallOptions>>;\nexport {};\n//# 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