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fix: 2.7 dev start
This commit is contained in:
ikechan8370
parent
fbe8953667
commit
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7 changed files with 5459 additions and 6 deletions
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@ -1,5 +1,5 @@
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<div align=center> <h1>云崽QQ机器人的ChatGPT插件</h1> </div>
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<div align=center> <h1>云崽QQ机器人的ChatGPT插件(开发分支请勿使用)</h1> </div>
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<div align=center>
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<img src ="https://img.shields.io/github/issues/ikechan8370/chatgpt-plugin?logo=github"/>
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15
package.json
15
package.json
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@ -7,11 +7,12 @@
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"@fastify/cors": "^8.2.0",
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"@fastify/static": "^6.9.0",
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"@slack/bolt": "^3.13.0",
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"@waylaidwanderer/chatgpt-api": "^1.33.2",
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"@waylaidwanderer/chatgpt-api": "^1.36.0",
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"asn1.js": "^5.0.0",
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"chatgpt": "^5.1.1",
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"chatgpt": "^5.2.4",
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"delay": "^5.0.0",
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"diff": "^5.1.0",
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"emoji-strip": "^1.0.1",
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"eventsource": "^2.0.2",
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"eventsource-parser": "^1.0.0",
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"fastify": "^4.13.0",
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@ -20,13 +21,13 @@
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"keyv": "^4.5.2",
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"keyv-file": "^0.2.0",
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"microsoft-cognitiveservices-speech-sdk": "^1.27.0",
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"emoji-strip": "^1.0.1",
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"node-fetch": "^3.3.1",
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"openai": "^3.2.1",
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"random": "^4.1.0",
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"undici": "^5.21.0",
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"uuid": "^9.0.0",
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"ws": "^8.13.0"
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"ws": "^8.13.0",
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"js-tiktoken": "^1.0.5"
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},
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"optionalDependencies": {
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"@node-rs/jieba": "^1.6.2",
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@ -36,5 +37,9 @@
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"puppeteer-extra-plugin-recaptcha": "^3.6.8",
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"puppeteer-extra-plugin-stealth": "^2.11.2",
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"sharp": "^0.31.3"
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},
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"devDependencies": {
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"ts-node": "^10.9.1",
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"ts-node-register": "^1.0.0"
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}
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}
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}
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470
utils/openai/chatgpt-api.ts
Normal file
470
utils/openai/chatgpt-api.ts
Normal file
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@ -0,0 +1,470 @@
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import Keyv from 'keyv'
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import pTimeout from 'p-timeout'
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import QuickLRU from 'quick-lru'
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import { v4 as uuidv4 } from 'uuid'
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import * as tokenizer from './tokenizer'
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import * as types from './types'
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import globalFetch from 'node-fetch'
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import { fetchSSE } from './fetch-sse'
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const CHATGPT_MODEL = 'gpt-3.5-turbo'
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const USER_LABEL_DEFAULT = 'User'
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const ASSISTANT_LABEL_DEFAULT = 'ChatGPT'
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export class ChatGPTAPI {
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protected _apiKey: string
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protected _apiBaseUrl: string
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protected _apiOrg?: string
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protected _debug: boolean
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protected _systemMessage: string
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protected _completionParams: Omit<
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types.openai.CreateChatCompletionRequest,
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'messages' | 'n'
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>
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protected _maxModelTokens: number
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protected _maxResponseTokens: number
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protected _fetch: types.FetchFn
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protected _getMessageById: types.GetMessageByIdFunction
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protected _upsertMessage: types.UpsertMessageFunction
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protected _messageStore: Keyv<types.ChatMessage>
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/**
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* Creates a new client wrapper around OpenAI's chat completion API, mimicing the official ChatGPT webapp's functionality as closely as possible.
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*
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* @param apiKey - OpenAI API key (required).
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* @param apiOrg - Optional OpenAI API organization (optional).
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* @param apiBaseUrl - Optional override for the OpenAI API base URL.
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* @param debug - Optional enables logging debugging info to stdout.
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* @param completionParams - Param overrides to send to the [OpenAI chat completion API](https://platform.openai.com/docs/api-reference/chat/create). Options like `temperature` and `presence_penalty` can be tweaked to change the personality of the assistant.
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* @param maxModelTokens - Optional override for the maximum number of tokens allowed by the model's context. Defaults to 4096.
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* @param maxResponseTokens - Optional override for the minimum number of tokens allowed for the model's response. Defaults to 1000.
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* @param messageStore - Optional [Keyv](https://github.com/jaredwray/keyv) store to persist chat messages to. If not provided, messages will be lost when the process exits.
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* @param getMessageById - Optional function to retrieve a message by its ID. If not provided, the default implementation will be used (using an in-memory `messageStore`).
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* @param upsertMessage - Optional function to insert or update a message. If not provided, the default implementation will be used (using an in-memory `messageStore`).
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* @param fetch - Optional override for the `fetch` implementation to use. Defaults to the global `fetch` function.
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*/
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constructor(opts: types.ChatGPTAPIOptions) {
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const {
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apiKey,
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apiOrg,
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apiBaseUrl = 'https://api.openai.com/v1',
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debug = false,
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messageStore,
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completionParams,
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systemMessage,
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maxModelTokens = 4000,
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maxResponseTokens = 1000,
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getMessageById,
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upsertMessage,
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fetch = globalFetch
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} = opts
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this._apiKey = apiKey
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this._apiOrg = apiOrg
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this._apiBaseUrl = apiBaseUrl
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this._debug = !!debug
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this._fetch = fetch
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this._completionParams = {
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model: CHATGPT_MODEL,
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temperature: 0.8,
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top_p: 1.0,
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presence_penalty: 1.0,
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...completionParams
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}
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this._systemMessage = systemMessage
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if (this._systemMessage === undefined) {
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const currentDate = new Date().toISOString().split('T')[0]
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this._systemMessage = `You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.\nKnowledge cutoff: 2021-09-01\nCurrent date: ${currentDate}`
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}
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this._maxModelTokens = maxModelTokens
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this._maxResponseTokens = maxResponseTokens
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this._getMessageById = getMessageById ?? this._defaultGetMessageById
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this._upsertMessage = upsertMessage ?? this._defaultUpsertMessage
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if (messageStore) {
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this._messageStore = messageStore
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} else {
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this._messageStore = new Keyv<types.ChatMessage, any>({
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store: new QuickLRU<string, types.ChatMessage>({ maxSize: 10000 })
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})
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}
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if (!this._apiKey) {
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throw new Error('OpenAI missing required apiKey')
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}
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if (!this._fetch) {
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throw new Error('Invalid environment; fetch is not defined')
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}
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if (typeof this._fetch !== 'function') {
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throw new Error('Invalid "fetch" is not a function')
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}
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}
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/**
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* Sends a message to the OpenAI chat completions endpoint, waits for the response
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* to resolve, and returns the response.
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*
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* If you want your response to have historical context, you must provide a valid `parentMessageId`.
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*
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* If you want to receive a stream of partial responses, use `opts.onProgress`.
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*
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* Set `debug: true` in the `ChatGPTAPI` constructor to log more info on the full prompt sent to the OpenAI chat completions API. You can override the `systemMessage` in `opts` to customize the assistant's instructions.
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*
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* @param message - The prompt message to send
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* @param opts.parentMessageId - Optional ID of the previous message in the conversation (defaults to `undefined`)
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* @param opts.conversationId - Optional ID of the conversation (defaults to `undefined`)
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* @param opts.messageId - Optional ID of the message to send (defaults to a random UUID)
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* @param opts.systemMessage - Optional override for the chat "system message" which acts as instructions to the model (defaults to the ChatGPT system message)
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* @param opts.timeoutMs - Optional timeout in milliseconds (defaults to no timeout)
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* @param opts.onProgress - Optional callback which will be invoked every time the partial response is updated
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* @param opts.abortSignal - Optional callback used to abort the underlying `fetch` call using an [AbortController](https://developer.mozilla.org/en-US/docs/Web/API/AbortController)
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* @param completionParams - Optional overrides to send to the [OpenAI chat completion API](https://platform.openai.com/docs/api-reference/chat/create). Options like `temperature` and `presence_penalty` can be tweaked to change the personality of the assistant.
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*
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* @returns The response from ChatGPT
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*/
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async sendMessage(
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text: string,
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opts: types.SendMessageOptions = {}
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): Promise<types.ChatMessage> {
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const {
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parentMessageId,
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messageId = uuidv4(),
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timeoutMs,
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onProgress,
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stream = onProgress ? true : false,
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completionParams,
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conversationId
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} = opts
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let { abortSignal } = opts
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let abortController: AbortController = null
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if (timeoutMs && !abortSignal) {
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abortController = new AbortController()
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abortSignal = abortController.signal
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}
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const message: types.ChatMessage = {
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role: 'user',
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id: messageId,
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conversationId,
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parentMessageId,
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text
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}
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const latestQuestion = message
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const { messages, maxTokens, numTokens } = await this._buildMessages(
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text,
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opts
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)
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const result: types.ChatMessage = {
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role: 'assistant',
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id: uuidv4(),
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conversationId,
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parentMessageId: messageId,
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text: ''
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}
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const responseP = new Promise<types.ChatMessage>(
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async (resolve, reject) => {
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const url = `${this._apiBaseUrl}/chat/completions`
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const headers = {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${this._apiKey}`
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}
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const body = {
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max_tokens: maxTokens,
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...this._completionParams,
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...completionParams,
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messages,
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stream
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}
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// Support multiple organizations
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// See https://platform.openai.com/docs/api-reference/authentication
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if (this._apiOrg) {
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headers['OpenAI-Organization'] = this._apiOrg
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}
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if (this._debug) {
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console.log(`sendMessage (${numTokens} tokens)`, body)
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}
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if (stream) {
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fetchSSE(
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url,
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{
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method: 'POST',
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headers,
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body: JSON.stringify(body),
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signal: abortSignal,
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onMessage: (data: string) => {
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if (data === '[DONE]') {
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result.text = result.text.trim()
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return resolve(result)
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}
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try {
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const response: types.openai.CreateChatCompletionDeltaResponse =
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JSON.parse(data)
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if (response.id) {
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result.id = response.id
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}
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if (response.choices?.length) {
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const delta = response.choices[0].delta
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result.delta = delta.content
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if (delta?.content) result.text += delta.content
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if (delta.role) {
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result.role = delta.role
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}
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result.detail = response
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onProgress?.(result)
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}
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} catch (err) {
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console.warn('OpenAI stream SEE event unexpected error', err)
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return reject(err)
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}
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}
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},
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this._fetch
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).catch(reject)
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} else {
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try {
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const res = await this._fetch(url, {
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method: 'POST',
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headers,
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body: JSON.stringify(body),
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signal: abortSignal
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})
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if (!res.ok) {
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const reason = await res.text()
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const msg = `OpenAI error ${
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res.status || res.statusText
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}: ${reason}`
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const error = new types.ChatGPTError(msg, { cause: res })
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error.statusCode = res.status
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error.statusText = res.statusText
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return reject(error)
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}
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const response: types.openai.CreateChatCompletionResponse =
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await res.json()
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if (this._debug) {
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console.log(response)
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}
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if (response?.id) {
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result.id = response.id
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}
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if (response?.choices?.length) {
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const message = response.choices[0].message
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result.text = message.content
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if (message.role) {
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result.role = message.role
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}
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} else {
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const res = response as any
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return reject(
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new Error(
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`OpenAI error: ${
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res?.detail?.message || res?.detail || 'unknown'
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}`
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)
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)
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}
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result.detail = response
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return resolve(result)
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} catch (err) {
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return reject(err)
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}
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}
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}
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).then(async (message) => {
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if (message.detail && !message.detail.usage) {
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try {
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const promptTokens = numTokens
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const completionTokens = await this._getTokenCount(message.text)
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message.detail.usage = {
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prompt_tokens: promptTokens,
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completion_tokens: completionTokens,
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total_tokens: promptTokens + completionTokens,
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estimated: true
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}
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} catch (err) {
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// TODO: this should really never happen, but if it does,
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// we should handle notify the user gracefully
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}
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}
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return Promise.all([
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this._upsertMessage(latestQuestion),
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this._upsertMessage(message)
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]).then(() => message)
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})
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if (timeoutMs) {
|
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if (abortController) {
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// This will be called when a timeout occurs in order for us to forcibly
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// ensure that the underlying HTTP request is aborted.
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;(responseP as any).cancel = () => {
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abortController.abort()
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}
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}
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return pTimeout(responseP, {
|
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milliseconds: timeoutMs,
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message: 'OpenAI timed out waiting for response'
|
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})
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} else {
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return responseP
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}
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}
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|
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get apiKey(): string {
|
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return this._apiKey
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}
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|
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set apiKey(apiKey: string) {
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this._apiKey = apiKey
|
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}
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|
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get apiOrg(): string {
|
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return this._apiOrg
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}
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set apiOrg(apiOrg: string) {
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this._apiOrg = apiOrg
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}
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protected async _buildMessages(text: string, opts: types.SendMessageOptions) {
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const { systemMessage = this._systemMessage } = opts
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let { parentMessageId } = opts
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const userLabel = USER_LABEL_DEFAULT
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const assistantLabel = ASSISTANT_LABEL_DEFAULT
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const maxNumTokens = this._maxModelTokens - this._maxResponseTokens
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let messages: types.openai.ChatCompletionRequestMessage[] = []
|
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|
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if (systemMessage) {
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messages.push({
|
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role: 'system',
|
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content: systemMessage
|
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})
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}
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|
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const systemMessageOffset = messages.length
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let nextMessages = text
|
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? messages.concat([
|
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{
|
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role: 'user',
|
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content: text,
|
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name: opts.name
|
||||
}
|
||||
])
|
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: messages
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let numTokens = 0
|
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|
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do {
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const prompt = nextMessages
|
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.reduce((prompt, message) => {
|
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switch (message.role) {
|
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case 'system':
|
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return prompt.concat([`Instructions:\n${message.content}`])
|
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case 'user':
|
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return prompt.concat([`${userLabel}:\n${message.content}`])
|
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default:
|
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return prompt.concat([`${assistantLabel}:\n${message.content}`])
|
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}
|
||||
}, [] as string[])
|
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.join('\n\n')
|
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|
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const nextNumTokensEstimate = await this._getTokenCount(prompt)
|
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const isValidPrompt = nextNumTokensEstimate <= maxNumTokens
|
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|
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if (prompt && !isValidPrompt) {
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break
|
||||
}
|
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|
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messages = nextMessages
|
||||
numTokens = nextNumTokensEstimate
|
||||
|
||||
if (!isValidPrompt) {
|
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break
|
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}
|
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|
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if (!parentMessageId) {
|
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break
|
||||
}
|
||||
|
||||
const parentMessage = await this._getMessageById(parentMessageId)
|
||||
if (!parentMessage) {
|
||||
break
|
||||
}
|
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|
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const parentMessageRole = parentMessage.role || 'user'
|
||||
|
||||
nextMessages = nextMessages.slice(0, systemMessageOffset).concat([
|
||||
{
|
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role: parentMessageRole,
|
||||
content: parentMessage.text,
|
||||
name: parentMessage.name
|
||||
},
|
||||
...nextMessages.slice(systemMessageOffset)
|
||||
])
|
||||
|
||||
parentMessageId = parentMessage.parentMessageId
|
||||
} while (true)
|
||||
|
||||
// Use up to 4096 tokens (prompt + response), but try to leave 1000 tokens
|
||||
// for the response.
|
||||
const maxTokens = Math.max(
|
||||
1,
|
||||
Math.min(this._maxModelTokens - numTokens, this._maxResponseTokens)
|
||||
)
|
||||
|
||||
return { messages, maxTokens, numTokens }
|
||||
}
|
||||
|
||||
protected async _getTokenCount(text: string) {
|
||||
// TODO: use a better fix in the tokenizer
|
||||
text = text.replace(/<\|endoftext\|>/g, '')
|
||||
|
||||
return tokenizer.encode(text).length
|
||||
}
|
||||
|
||||
protected async _defaultGetMessageById(
|
||||
id: string
|
||||
): Promise<types.ChatMessage> {
|
||||
const res = await this._messageStore.get(id)
|
||||
return res
|
||||
}
|
||||
|
||||
protected async _defaultUpsertMessage(
|
||||
message: types.ChatMessage
|
||||
): Promise<void> {
|
||||
await this._messageStore.set(message.id, message)
|
||||
}
|
||||
}
|
||||
89
utils/openai/fetch-sse.ts
Normal file
89
utils/openai/fetch-sse.ts
Normal file
|
|
@ -0,0 +1,89 @@
|
|||
import { createParser } from 'eventsource-parser'
|
||||
|
||||
import * as types from './types'
|
||||
import { fetch as nodefetch } from 'node-fetch'
|
||||
import { streamAsyncIterable } from './stream-async-iterable'
|
||||
|
||||
export async function fetchSSE(
|
||||
url: string,
|
||||
options: Parameters<typeof fetch>[1] & {
|
||||
onMessage: (data: string) => void
|
||||
onError?: (error: any) => void
|
||||
},
|
||||
fetch: types.FetchFn = nodefetch
|
||||
) {
|
||||
const { onMessage, onError, ...fetchOptions } = options
|
||||
const res = await fetch(url, fetchOptions)
|
||||
if (!res.ok) {
|
||||
let reason: string
|
||||
|
||||
try {
|
||||
reason = await res.text()
|
||||
} catch (err) {
|
||||
reason = res.statusText
|
||||
}
|
||||
|
||||
const msg = `ChatGPT error ${res.status}: ${reason}`
|
||||
const error = new types.ChatGPTError(msg, { cause: res })
|
||||
error.statusCode = res.status
|
||||
error.statusText = res.statusText
|
||||
throw error
|
||||
}
|
||||
|
||||
const parser = createParser((event) => {
|
||||
if (event.type === 'event') {
|
||||
onMessage(event.data)
|
||||
}
|
||||
})
|
||||
|
||||
// handle special response errors
|
||||
const feed = (chunk: string) => {
|
||||
let response = null
|
||||
|
||||
try {
|
||||
response = JSON.parse(chunk)
|
||||
} catch {
|
||||
// ignore
|
||||
}
|
||||
|
||||
if (response?.detail?.type === 'invalid_request_error') {
|
||||
const msg = `ChatGPT error ${response.detail.message}: ${response.detail.code} (${response.detail.type})`
|
||||
const error = new types.ChatGPTError(msg, { cause: response })
|
||||
error.statusCode = response.detail.code
|
||||
error.statusText = response.detail.message
|
||||
|
||||
if (onError) {
|
||||
onError(error)
|
||||
} else {
|
||||
console.error(error)
|
||||
}
|
||||
|
||||
// don't feed to the event parser
|
||||
return
|
||||
}
|
||||
|
||||
parser.feed(chunk)
|
||||
}
|
||||
|
||||
if (!res.body.getReader) {
|
||||
// Vercel polyfills `fetch` with `node-fetch`, which doesn't conform to
|
||||
// web standards, so this is a workaround...
|
||||
const body: NodeJS.ReadableStream = res.body as any
|
||||
|
||||
if (!body.on || !body.read) {
|
||||
throw new types.ChatGPTError('unsupported "fetch" implementation')
|
||||
}
|
||||
|
||||
body.on('readable', () => {
|
||||
let chunk: string | Buffer
|
||||
while (null !== (chunk = body.read())) {
|
||||
feed(chunk.toString())
|
||||
}
|
||||
})
|
||||
} else {
|
||||
for await (const chunk of streamAsyncIterable(res.body)) {
|
||||
const str = new TextDecoder().decode(chunk)
|
||||
feed(str)
|
||||
}
|
||||
}
|
||||
}
|
||||
8
utils/openai/tokenizer.ts
Normal file
8
utils/openai/tokenizer.ts
Normal file
|
|
@ -0,0 +1,8 @@
|
|||
import { getEncoding } from 'js-tiktoken'
|
||||
|
||||
// TODO: make this configurable
|
||||
const tokenizer = getEncoding('cl100k_base')
|
||||
|
||||
export function encode(input: string): Uint32Array {
|
||||
return new Uint32Array(tokenizer.encode(input))
|
||||
}
|
||||
446
utils/openai/types.ts
Normal file
446
utils/openai/types.ts
Normal file
|
|
@ -0,0 +1,446 @@
|
|||
import Keyv from 'keyv'
|
||||
|
||||
export type Role = 'user' | 'assistant' | 'system'
|
||||
|
||||
export type FetchFn = typeof fetch
|
||||
|
||||
export type ChatGPTAPIOptions = {
|
||||
apiKey: string
|
||||
|
||||
/** @defaultValue `'https://api.openai.com'` **/
|
||||
apiBaseUrl?: string
|
||||
|
||||
apiOrg?: string
|
||||
|
||||
/** @defaultValue `false` **/
|
||||
debug?: boolean
|
||||
|
||||
completionParams?: Partial<
|
||||
Omit<openai.CreateChatCompletionRequest, 'messages' | 'n' | 'stream'>
|
||||
>
|
||||
|
||||
systemMessage?: string
|
||||
|
||||
/** @defaultValue `4096` **/
|
||||
maxModelTokens?: number
|
||||
|
||||
/** @defaultValue `1000` **/
|
||||
maxResponseTokens?: number
|
||||
|
||||
messageStore?: Keyv
|
||||
getMessageById?: GetMessageByIdFunction
|
||||
upsertMessage?: UpsertMessageFunction
|
||||
|
||||
fetch?: FetchFn
|
||||
}
|
||||
|
||||
export type SendMessageOptions = {
|
||||
/** The name of a user in a multi-user chat. */
|
||||
name?: string
|
||||
parentMessageId?: string
|
||||
conversationId?: string
|
||||
messageId?: string
|
||||
stream?: boolean
|
||||
systemMessage?: string
|
||||
timeoutMs?: number
|
||||
onProgress?: (partialResponse: ChatMessage) => void
|
||||
abortSignal?: AbortSignal
|
||||
completionParams?: Partial<
|
||||
Omit<openai.CreateChatCompletionRequest, 'messages' | 'n' | 'stream'>
|
||||
>
|
||||
}
|
||||
|
||||
export type MessageActionType = 'next' | 'variant'
|
||||
|
||||
export type SendMessageBrowserOptions = {
|
||||
conversationId?: string
|
||||
parentMessageId?: string
|
||||
messageId?: string
|
||||
action?: MessageActionType
|
||||
timeoutMs?: number
|
||||
onProgress?: (partialResponse: ChatMessage) => void
|
||||
abortSignal?: AbortSignal
|
||||
}
|
||||
|
||||
export interface ChatMessage {
|
||||
id: string
|
||||
text: string
|
||||
role: Role
|
||||
name?: string
|
||||
delta?: string
|
||||
detail?:
|
||||
| openai.CreateChatCompletionResponse
|
||||
| CreateChatCompletionStreamResponse
|
||||
|
||||
// relevant for both ChatGPTAPI and ChatGPTUnofficialProxyAPI
|
||||
parentMessageId?: string
|
||||
|
||||
// only relevant for ChatGPTUnofficialProxyAPI (optional for ChatGPTAPI)
|
||||
conversationId?: string
|
||||
}
|
||||
|
||||
export class ChatGPTError extends Error {
|
||||
statusCode?: number
|
||||
statusText?: string
|
||||
isFinal?: boolean
|
||||
accountId?: string
|
||||
}
|
||||
|
||||
/** Returns a chat message from a store by it's ID (or null if not found). */
|
||||
export type GetMessageByIdFunction = (id: string) => Promise<ChatMessage>
|
||||
|
||||
/** Upserts a chat message to a store. */
|
||||
export type UpsertMessageFunction = (message: ChatMessage) => Promise<void>
|
||||
|
||||
export interface CreateChatCompletionStreamResponse
|
||||
extends openai.CreateChatCompletionDeltaResponse {
|
||||
usage: CreateCompletionStreamResponseUsage
|
||||
}
|
||||
|
||||
export interface CreateCompletionStreamResponseUsage
|
||||
extends openai.CreateCompletionResponseUsage {
|
||||
estimated: true
|
||||
}
|
||||
|
||||
/**
|
||||
* https://chat.openapi.com/backend-api/conversation
|
||||
*/
|
||||
export type ConversationJSONBody = {
|
||||
/**
|
||||
* The action to take
|
||||
*/
|
||||
action: string
|
||||
|
||||
/**
|
||||
* The ID of the conversation
|
||||
*/
|
||||
conversation_id?: string
|
||||
|
||||
/**
|
||||
* Prompts to provide
|
||||
*/
|
||||
messages: Prompt[]
|
||||
|
||||
/**
|
||||
* The model to use
|
||||
*/
|
||||
model: string
|
||||
|
||||
/**
|
||||
* The parent message ID
|
||||
*/
|
||||
parent_message_id: string
|
||||
}
|
||||
|
||||
export type Prompt = {
|
||||
/**
|
||||
* The content of the prompt
|
||||
*/
|
||||
content: PromptContent
|
||||
|
||||
/**
|
||||
* The ID of the prompt
|
||||
*/
|
||||
id: string
|
||||
|
||||
/**
|
||||
* The role played in the prompt
|
||||
*/
|
||||
role: Role
|
||||
}
|
||||
|
||||
export type ContentType = 'text'
|
||||
|
||||
export type PromptContent = {
|
||||
/**
|
||||
* The content type of the prompt
|
||||
*/
|
||||
content_type: ContentType
|
||||
|
||||
/**
|
||||
* The parts to the prompt
|
||||
*/
|
||||
parts: string[]
|
||||
}
|
||||
|
||||
export type ConversationResponseEvent = {
|
||||
message?: Message
|
||||
conversation_id?: string
|
||||
error?: string | null
|
||||
}
|
||||
|
||||
export type Message = {
|
||||
id: string
|
||||
content: MessageContent
|
||||
role: Role
|
||||
user: string | null
|
||||
create_time: string | null
|
||||
update_time: string | null
|
||||
end_turn: null
|
||||
weight: number
|
||||
recipient: string
|
||||
metadata: MessageMetadata
|
||||
}
|
||||
|
||||
export type MessageContent = {
|
||||
content_type: string
|
||||
parts: string[]
|
||||
}
|
||||
|
||||
export type MessageMetadata = any
|
||||
|
||||
export namespace openai {
|
||||
export interface CreateChatCompletionDeltaResponse {
|
||||
id: string
|
||||
object: 'chat.completion.chunk'
|
||||
created: number
|
||||
model: string
|
||||
choices: [
|
||||
{
|
||||
delta: {
|
||||
role: Role
|
||||
content?: string
|
||||
}
|
||||
index: number
|
||||
finish_reason: string | null
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
/**
|
||||
*
|
||||
* @export
|
||||
* @interface ChatCompletionRequestMessage
|
||||
*/
|
||||
export interface ChatCompletionRequestMessage {
|
||||
/**
|
||||
* The role of the author of this message.
|
||||
* @type {string}
|
||||
* @memberof ChatCompletionRequestMessage
|
||||
*/
|
||||
role: ChatCompletionRequestMessageRoleEnum
|
||||
/**
|
||||
* The contents of the message
|
||||
* @type {string}
|
||||
* @memberof ChatCompletionRequestMessage
|
||||
*/
|
||||
content: string
|
||||
/**
|
||||
* The name of the user in a multi-user chat
|
||||
* @type {string}
|
||||
* @memberof ChatCompletionRequestMessage
|
||||
*/
|
||||
name?: string
|
||||
}
|
||||
export declare const ChatCompletionRequestMessageRoleEnum: {
|
||||
readonly System: 'system'
|
||||
readonly User: 'user'
|
||||
readonly Assistant: 'assistant'
|
||||
}
|
||||
export declare type ChatCompletionRequestMessageRoleEnum =
|
||||
(typeof ChatCompletionRequestMessageRoleEnum)[keyof typeof ChatCompletionRequestMessageRoleEnum]
|
||||
/**
|
||||
*
|
||||
* @export
|
||||
* @interface ChatCompletionResponseMessage
|
||||
*/
|
||||
export interface ChatCompletionResponseMessage {
|
||||
/**
|
||||
* The role of the author of this message.
|
||||
* @type {string}
|
||||
* @memberof ChatCompletionResponseMessage
|
||||
*/
|
||||
role: ChatCompletionResponseMessageRoleEnum
|
||||
/**
|
||||
* The contents of the message
|
||||
* @type {string}
|
||||
* @memberof ChatCompletionResponseMessage
|
||||
*/
|
||||
content: string
|
||||
}
|
||||
export declare const ChatCompletionResponseMessageRoleEnum: {
|
||||
readonly System: 'system'
|
||||
readonly User: 'user'
|
||||
readonly Assistant: 'assistant'
|
||||
}
|
||||
export declare type ChatCompletionResponseMessageRoleEnum =
|
||||
(typeof ChatCompletionResponseMessageRoleEnum)[keyof typeof ChatCompletionResponseMessageRoleEnum]
|
||||
/**
|
||||
*
|
||||
* @export
|
||||
* @interface CreateChatCompletionRequest
|
||||
*/
|
||||
export interface CreateChatCompletionRequest {
|
||||
/**
|
||||
* ID of the model to use. Currently, only `gpt-3.5-turbo` and `gpt-3.5-turbo-0301` are supported.
|
||||
* @type {string}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
model: string
|
||||
/**
|
||||
* The messages to generate chat completions for, in the [chat format](/docs/guides/chat/introduction).
|
||||
* @type {Array<ChatCompletionRequestMessage>}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
messages: Array<ChatCompletionRequestMessage>
|
||||
/**
|
||||
* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.
|
||||
* @type {number}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
temperature?: number | null
|
||||
/**
|
||||
* An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both.
|
||||
* @type {number}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
top_p?: number | null
|
||||
/**
|
||||
* How many chat completion choices to generate for each input message.
|
||||
* @type {number}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
n?: number | null
|
||||
/**
|
||||
* If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message.
|
||||
* @type {boolean}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
stream?: boolean | null
|
||||
/**
|
||||
*
|
||||
* @type {CreateChatCompletionRequestStop}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
stop?: CreateChatCompletionRequestStop
|
||||
/**
|
||||
* The maximum number of tokens allowed for the generated answer. By default, the number of tokens the model can return will be (4096 - prompt tokens).
|
||||
* @type {number}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
max_tokens?: number
|
||||
/**
|
||||
* Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)
|
||||
* @type {number}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
presence_penalty?: number | null
|
||||
/**
|
||||
* Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)
|
||||
* @type {number}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
frequency_penalty?: number | null
|
||||
/**
|
||||
* Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
|
||||
* @type {object}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
logit_bias?: object | null
|
||||
/**
|
||||
* A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
|
||||
* @type {string}
|
||||
* @memberof CreateChatCompletionRequest
|
||||
*/
|
||||
user?: string
|
||||
}
|
||||
/**
|
||||
* @type CreateChatCompletionRequestStop
|
||||
* Up to 4 sequences where the API will stop generating further tokens.
|
||||
* @export
|
||||
*/
|
||||
export declare type CreateChatCompletionRequestStop = Array<string> | string
|
||||
/**
|
||||
*
|
||||
* @export
|
||||
* @interface CreateChatCompletionResponse
|
||||
*/
|
||||
export interface CreateChatCompletionResponse {
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof CreateChatCompletionResponse
|
||||
*/
|
||||
id: string
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof CreateChatCompletionResponse
|
||||
*/
|
||||
object: string
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
* @memberof CreateChatCompletionResponse
|
||||
*/
|
||||
created: number
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof CreateChatCompletionResponse
|
||||
*/
|
||||
model: string
|
||||
/**
|
||||
*
|
||||
* @type {Array<CreateChatCompletionResponseChoicesInner>}
|
||||
* @memberof CreateChatCompletionResponse
|
||||
*/
|
||||
choices: Array<CreateChatCompletionResponseChoicesInner>
|
||||
/**
|
||||
*
|
||||
* @type {CreateCompletionResponseUsage}
|
||||
* @memberof CreateChatCompletionResponse
|
||||
*/
|
||||
usage?: CreateCompletionResponseUsage
|
||||
}
|
||||
/**
|
||||
*
|
||||
* @export
|
||||
* @interface CreateChatCompletionResponseChoicesInner
|
||||
*/
|
||||
export interface CreateChatCompletionResponseChoicesInner {
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
* @memberof CreateChatCompletionResponseChoicesInner
|
||||
*/
|
||||
index?: number
|
||||
/**
|
||||
*
|
||||
* @type {ChatCompletionResponseMessage}
|
||||
* @memberof CreateChatCompletionResponseChoicesInner
|
||||
*/
|
||||
message?: ChatCompletionResponseMessage
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof CreateChatCompletionResponseChoicesInner
|
||||
*/
|
||||
finish_reason?: string
|
||||
}
|
||||
/**
|
||||
*
|
||||
* @export
|
||||
* @interface CreateCompletionResponseUsage
|
||||
*/
|
||||
export interface CreateCompletionResponseUsage {
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
* @memberof CreateCompletionResponseUsage
|
||||
*/
|
||||
prompt_tokens: number
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
* @memberof CreateCompletionResponseUsage
|
||||
*/
|
||||
completion_tokens: number
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
* @memberof CreateCompletionResponseUsage
|
||||
*/
|
||||
total_tokens: number
|
||||
}
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue