@langchain/community
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Third-party integrations for LangChain.js
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{"version":3,"file":"moonshot.d.ts","names":["BaseChatModel","BaseChatModelParams","BaseMessage","ChatResult","CallbackManagerForLLMRun","MoonshotMessageRole","MoonshotMessage","ModelName","NonNullable","ChatCompletionRequest","ChatMoonshotParams","ChatMoonshot","Partial","Omit","Promise","AbortSignal","MessageEvent"],"sources":["../../src/chat_models/moonshot.d.ts"],"sourcesContent":["import { BaseChatModel, type BaseChatModelParams } from \"@langchain/core/language_models/chat_models\";\nimport { type BaseMessage } from \"@langchain/core/messages\";\nimport { type ChatResult } from \"@langchain/core/outputs\";\nimport { type CallbackManagerForLLMRun } from \"@langchain/core/callbacks/manager\";\nexport type MoonshotMessageRole = \"system\" | \"assistant\" | \"user\";\ninterface MoonshotMessage {\n role: MoonshotMessageRole;\n content: string;\n}\n/**\n * Interface representing a request for a chat completion.\n *\n * See https://platform.moonshot.cn/docs/intro#%E6%A8%A1%E5%9E%8B%E5%88%97%E8%A1%A8\n */\ntype ModelName = (string & NonNullable<unknown>) | \"moonshot-v1-8k\" | \"moonshot-v1-32k\" | \"moonshot-v1-128k\";\ninterface ChatCompletionRequest {\n model: ModelName;\n messages?: MoonshotMessage[];\n stream?: boolean;\n max_tokens?: number | null;\n top_p?: number | null;\n temperature?: number | null;\n stop?: string[];\n presence_penalty?: number;\n frequency_penalty?: number;\n n?: number;\n}\n/**\n * Interface defining the input to the MoonshotChatInput class.\n */\nexport interface ChatMoonshotParams {\n /**\n * @default \"moonshot-v1-8k\"\n * Alias for `model`\n */\n modelName: ModelName;\n /**\n * @default \"moonshot-v1-8k\"\n */\n model: ModelName;\n /** Whether to stream the results or not. Defaults to false. */\n streaming?: boolean;\n /** Messages to pass as a prefix to the prompt */\n messages?: MoonshotMessage[];\n /**\n * API key to use when making requests. Defaults to the value of\n * `MOONSHOT_API_KEY` environment variable.\n */\n apiKey?: string;\n /**\n * Amount of randomness injected into the response. Ranges\n * from 0 to 1 (0 is not included). Use temp closer to 0 for analytical /\n * multiple choice, and temp closer to 1 for creative and generative tasks.\n * Defaults to 0, recommended 0.3\n */\n temperature?: number;\n /**\n * Total probability mass of tokens to consider at each step. Range\n * from 0 to 1. Defaults to 1\n */\n topP?: number;\n /**\n * Different models have different maximum values. For example, the maximum\n * value of moonshot-v1-8k is 8192. Defaults to 1024\n */\n maxTokens?: number;\n stop?: string[];\n /**\n * There is a penalty, a number between -2.0 and 2.0. Positive values\n * penalize the newly generated words based on whether they appear in the\n * text, increasing the likelihood that the model will discuss new topics.\n * The default value is 0\n */\n presencePenalty?: number;\n /**\n * Frequency penalty, a number between -2.0 and 2.0. Positive values\n * penalize the newly generated words based on their existing frequency in the\n * text, making the model less likely to repeat the same words verbatim.\n * The default value is 0\n */\n frequencyPenalty?: number;\n /**\n * The default value is 1 and cannot be greater than 5. In particular,\n * when temperature is very small and close to 0, we can only return 1 result.\n * If n is already set and > 1, Moonshot will return an invalid input parameter\n * (invalid_request_error).\n */\n n?: number;\n}\nexport declare class ChatMoonshot extends BaseChatModel implements ChatMoonshotParams {\n static lc_name(): string;\n get callKeys(): string[];\n get lc_secrets(): {\n apiKey: string;\n };\n get lc_aliases(): undefined;\n apiKey?: string;\n streaming: boolean;\n messages?: MoonshotMessage[];\n modelName: ChatCompletionRequest[\"model\"];\n model: ChatCompletionRequest[\"model\"];\n apiUrl: string;\n maxTokens?: number | undefined;\n temperature?: number | undefined;\n topP?: number | undefined;\n stop?: string[];\n presencePenalty?: number;\n frequencyPenalty?: number;\n n?: number;\n constructor(fields?: Partial<ChatMoonshotParams> & BaseChatModelParams);\n /**\n * Get the parameters used to invoke the model\n */\n invocationParams(): Omit<ChatCompletionRequest, \"messages\">;\n /**\n * Get the identifying parameters for the model\n */\n identifyingParams(): Omit<ChatCompletionRequest, \"messages\">;\n /** @ignore */\n _generate(messages: BaseMessage[], options?: this[\"ParsedCallOptions\"], runManager?: CallbackManagerForLLMRun): Promise<ChatResult>;\n /** @ignore */\n completionWithRetry(request: ChatCompletionRequest, stream: boolean, signal?: AbortSignal, onmessage?: (event: MessageEvent) => void): Promise<any>;\n _llmType(): string;\n /** @ignore */\n _combineLLMOutput(): never[];\n}\nexport {};\n//# sourceMappingURL=moonshot.d.ts.map"],"mappings":";;;;;;KAIYK,mBAAAA;UACFC,eAAAA;EADED,IAAAA,EAEFA,mBAFqB;EACrBC,OAAAA,EAAAA,MAAAA;AACmB;AAQS;AAgBtC;;;;AAa8B,KA7BzBC,SAAAA,GA6ByB,CAAA,MAAA,GA7BHC,WA6BG,CAAA,OAAA,CAAA,CAAA,GAAA,gBAAA,GAAA,iBAAA,GAAA,kBAAA;AA8C9B,UA1EUC,qBAAAA,CA0EuB;EASlBH,KAAAA,EAlFJC,SAkFID;EACAG,QAAAA,CAAAA,EAlFAH,eAkFAG,EAAAA;EACJA,MAAAA,CAAAA,EAAAA,OAAAA;EASsBC,UAAAA,CAAAA,EAAAA,MAAAA,GAAAA,IAAAA;EAARE,KAAAA,CAAAA,EAAAA,MAAAA,GAAAA,IAAAA;EAA8BX,WAAAA,CAAAA,EAAAA,MAAAA,GAAAA,IAAAA;EAI1BQ,IAAAA,CAAAA,EAAAA,MAAAA,EAAAA;EAALI,gBAAAA,CAAAA,EAAAA,MAAAA;EAIMJ,iBAAAA,CAAAA,EAAAA,MAAAA;EAALI,CAAAA,CAAAA,EAAAA,MAAAA;;;;;AAIQJ,UA3FhBC,kBAAAA,CA2FgBD;EAAiDM;;;;EAhCfL,SAAAA,EAtDpDH,SAsDoDG;EAAkB;;;SAlD1EH;;;;aAIID;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;cA8CMK,YAAAA,SAAqBX,aAAAA,YAAyBU;;;;;;;;;aASpDJ;aACAG;SACJA;;;;;;;;;uBAScG,QAAQF,sBAAsBT;;;;sBAI/BY,KAAKJ;;;;uBAIJI,KAAKJ;;sBAENP,iEAAiEE,2BAA2BU,QAAQX;;+BAE3FM,iDAAiDM,iCAAiCC,wBAAwBF"}