@langchain/community/dist/chat_models/deepinfra.d.cts.map

Third-party integrations for LangChain.js

{"version":3,"file":"deepinfra.d.cts","names":["BaseChatModel","BaseChatModelParams","BindToolsInput","BaseChatModelCallOptions","BaseMessage","AIMessageChunk","ChatResult","Runnable","BaseLanguageModelInput","DEFAULT_MODEL","DeepInfraMessageRole","API_BASE_URL","ENV_VARIABLE_API_KEY","DeepInfraFinishReason","DeepInfraToolCall","DeepInfraMessage","ChatCompletionRequest","BaseResponse","ChoiceMessage","ResponseChoice","ChatCompletionResponse","DeepInfraCallOptions","ChatDeepInfraParams","ChatDeepInfra","Partial","Omit","Promise","AbortSignal"],"sources":["../../src/chat_models/deepinfra.d.ts"],"sourcesContent":["import { BaseChatModel, type BaseChatModelParams, BindToolsInput, type BaseChatModelCallOptions } from \"@langchain/core/language_models/chat_models\";\nimport { type BaseMessage, type AIMessageChunk } from \"@langchain/core/messages\";\nimport { type ChatResult } from \"@langchain/core/outputs\";\nimport { Runnable } from \"@langchain/core/runnables\";\nimport { BaseLanguageModelInput } from \"@langchain/core/language_models/base\";\nexport declare const DEFAULT_MODEL = \"meta-llama/Meta-Llama-3-70B-Instruct\";\nexport type DeepInfraMessageRole = \"system\" | \"assistant\" | \"user\" | \"tool\";\nexport declare const API_BASE_URL = \"https://api.deepinfra.com/v1/openai/chat/completions\";\nexport declare const ENV_VARIABLE_API_KEY = \"DEEPINFRA_API_TOKEN\";\ntype DeepInfraFinishReason = \"stop\" | \"length\" | \"tool_calls\" | \"null\" | null;\ninterface DeepInfraToolCall {\n    id: string;\n    type: \"function\";\n    function: {\n        name: string;\n        arguments: string;\n    };\n}\ninterface DeepInfraMessage {\n    role: DeepInfraMessageRole;\n    content: string;\n    tool_calls?: DeepInfraToolCall[];\n}\ninterface ChatCompletionRequest {\n    model: string;\n    messages?: DeepInfraMessage[];\n    stream?: boolean;\n    max_tokens?: number | null;\n    temperature?: number | null;\n    tools?: BindToolsInput[];\n    stop?: string[];\n}\ninterface BaseResponse {\n    code?: string;\n    message?: string;\n}\ninterface ChoiceMessage {\n    role: string;\n    content: string;\n    tool_calls?: DeepInfraToolCall[];\n}\ninterface ResponseChoice {\n    index: number;\n    finish_reason: DeepInfraFinishReason;\n    delta: ChoiceMessage;\n    message: ChoiceMessage;\n}\ninterface ChatCompletionResponse extends BaseResponse {\n    choices: ResponseChoice[];\n    usage: {\n        completion_tokens: number;\n        prompt_tokens: number;\n        total_tokens: number;\n    };\n    output: {\n        text: string;\n        finish_reason: DeepInfraFinishReason;\n    };\n}\nexport interface DeepInfraCallOptions extends BaseChatModelCallOptions {\n    stop?: string[];\n    tools?: BindToolsInput[];\n}\nexport interface ChatDeepInfraParams {\n    model: string;\n    apiKey?: string;\n    temperature?: number;\n    maxTokens?: number;\n}\nexport declare class ChatDeepInfra extends BaseChatModel<DeepInfraCallOptions> implements ChatDeepInfraParams {\n    static lc_name(): string;\n    get callKeys(): string[];\n    apiKey?: string;\n    model: string;\n    apiUrl: string;\n    maxTokens?: number;\n    temperature?: number;\n    constructor(fields?: Partial<ChatDeepInfraParams> & BaseChatModelParams);\n    invocationParams(options?: this[\"ParsedCallOptions\"]): Omit<ChatCompletionRequest, \"messages\">;\n    identifyingParams(): Omit<ChatCompletionRequest, \"messages\">;\n    _generate(messages: BaseMessage[], options?: this[\"ParsedCallOptions\"]): Promise<ChatResult>;\n    completionWithRetry(request: ChatCompletionRequest, stream: boolean, signal?: AbortSignal): Promise<ChatCompletionResponse>;\n    bindTools(tools: BindToolsInput[], kwargs?: Partial<DeepInfraCallOptions>): Runnable<BaseLanguageModelInput, AIMessageChunk, DeepInfraCallOptions>;\n    _llmType(): string;\n}\nexport {};\n//# 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