migrate
This commit is contained in:
552
public/scripts/custom-request.js
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552
public/scripts/custom-request.js
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import { getPresetManager } from './preset-manager.js';
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import { extractMessageFromData, getGenerateUrl, getRequestHeaders } from '../script.js';
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import { getTextGenServer } from './textgen-settings.js';
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import { extractReasoningFromData } from './reasoning.js';
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import { formatInstructModeChat, formatInstructModePrompt, getInstructStoppingSequences, names_behavior_types } from './instruct-mode.js';
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import { getStreamingReply, tryParseStreamingError } from './openai.js';
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import EventSourceStream from './sse-stream.js';
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// #region Type Definitions
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/**
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* @typedef {Object} TextCompletionRequestBase
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* @property {boolean?} [stream=false] - Whether to stream the response
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* @property {number} max_tokens - Maximum number of tokens to generate
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* @property {string} [model] - Optional model name
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* @property {string} api_type - Type of API to use
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* @property {string} [api_server] - Optional API server URL
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* @property {number} [temperature] - Optional temperature parameter
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* @property {number} [min_p] - Optional min_p parameter
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*/
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/**
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* @typedef {Object} TextCompletionPayloadBase
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* @property {boolean?} [stream=false] - Whether to stream the response
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* @property {string} prompt - The text prompt for completion
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* @property {number} max_tokens - Maximum number of tokens to generate
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* @property {number} max_new_tokens - Alias for max_tokens
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* @property {string} [model] - Optional model name
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* @property {string} api_type - Type of API to use
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* @property {string} api_server - API server URL
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* @property {number} [temperature] - Optional temperature parameter
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*/
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/** @typedef {Record<string, any> & TextCompletionPayloadBase} TextCompletionPayload */
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/**
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* @typedef {Object} ChatCompletionMessage
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* @property {string} role - The role of the message author (e.g., "user", "assistant", "system")
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* @property {string} content - The content of the message
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*/
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/**
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* @typedef {Object} ChatCompletionPayloadBase
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* @property {boolean?} [stream=false] - Whether to stream the response
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* @property {ChatCompletionMessage[]} messages - Array of chat messages
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* @property {string} [model] - Optional model name to use for completion
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* @property {string} chat_completion_source - Source provider for chat completion
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* @property {number} max_tokens - Maximum number of tokens to generate
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* @property {number} [temperature] - Optional temperature parameter for response randomness
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* @property {string} [custom_url] - Optional custom URL for chat completion
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*/
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/** @typedef {Record<string, any> & ChatCompletionPayloadBase} ChatCompletionPayload */
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/**
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* @typedef {Object} ExtractedData
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* @property {string} content - Extracted content.
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* @property {string} reasoning - Extracted reasoning.
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*/
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/**
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* @typedef {Object} StreamResponse
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* @property {string} text - Generated text.
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* @property {string[]} swipes - Generated swipes
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* @property {Object} state - Generated state
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* @property {string?} [state.reasoning] - Generated reasoning
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* @property {string?} [state.image] - Generated image
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*/
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// #endregion
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/**
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* Creates & sends a text completion request.
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*/
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export class TextCompletionService {
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static TYPE = 'textgenerationwebui';
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/**
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* @param {Record<string, any> & TextCompletionRequestBase & {prompt: string}} custom
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* @returns {TextCompletionPayload}
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*/
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static createRequestData({ stream = false, prompt, max_tokens, model, api_type, api_server, temperature, min_p, ...props }) {
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const payload = {
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...props,
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stream,
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prompt,
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max_tokens,
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max_new_tokens: max_tokens,
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model,
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api_type,
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api_server: api_server ?? getTextGenServer(api_type),
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temperature,
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min_p,
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};
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// Remove undefined values to avoid API errors
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Object.keys(payload).forEach(key => {
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if (payload[key] === undefined) {
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delete payload[key];
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}
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});
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return payload;
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}
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/**
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* Sends a text completion request to the specified server
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* @param {TextCompletionPayload} data Request data
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* @param {boolean?} extractData Extract message from the response. Default true
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* @param {AbortSignal?} signal
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* @returns {Promise<ExtractedData | (() => AsyncGenerator<StreamResponse>)>} If not streaming, returns extracted data; if streaming, returns a function that creates an AsyncGenerator
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* @throws {Error}
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*/
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static async sendRequest(data, extractData = true, signal = null) {
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if (!data.stream) {
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const response = await fetch(getGenerateUrl(this.TYPE), {
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method: 'POST',
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headers: getRequestHeaders(),
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cache: 'no-cache',
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body: JSON.stringify(data),
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signal: signal ?? new AbortController().signal,
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});
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const json = await response.json();
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if (!response.ok || json.error) {
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throw json;
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}
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if (!extractData) {
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return json;
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}
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return {
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content: extractMessageFromData(json, this.TYPE),
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reasoning: extractReasoningFromData(json, {
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mainApi: this.TYPE,
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textGenType: data.api_type,
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ignoreShowThoughts: true,
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}),
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};
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}
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const response = await fetch('/api/backends/text-completions/generate', {
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method: 'POST',
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headers: getRequestHeaders(),
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cache: 'no-cache',
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body: JSON.stringify(data),
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signal: signal ?? new AbortController().signal,
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});
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if (!response.ok) {
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const text = await response.text();
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tryParseStreamingError(response, text, { quiet: true });
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throw new Error(`Got response status ${response.status}`);
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}
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const eventStream = new EventSourceStream();
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response.body.pipeThrough(eventStream);
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const reader = eventStream.readable.getReader();
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return async function* streamData() {
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let text = '';
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const swipes = [];
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const state = { reasoning: '' };
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while (true) {
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const { done, value } = await reader.read();
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if (done) return;
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if (value.data === '[DONE]') return;
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tryParseStreamingError(response, value.data, { quiet: true });
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let data = JSON.parse(value.data);
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if (data?.choices?.[0]?.index > 0) {
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const swipeIndex = data.choices[0].index - 1;
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swipes[swipeIndex] = (swipes[swipeIndex] || '') + data.choices[0].text;
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} else {
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const newText = data?.choices?.[0]?.text || data?.content || '';
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text += newText;
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state.reasoning += data?.choices?.[0]?.reasoning ?? '';
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}
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yield { text, swipes, state };
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}
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};
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}
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/**
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* Process and send a text completion request with optional preset & instruct
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* @param {Record<string, any> & TextCompletionRequestBase & {prompt: (ChatCompletionMessage & {ignoreInstruct?: boolean})[] |string}} custom
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* @param {Object} options - Configuration options
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* @param {string?} [options.presetName] - Name of the preset to use for generation settings
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* @param {string?} [options.instructName] - Name of instruct preset for message formatting
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* @param {Partial<InstructSettings>?} [options.instructSettings] - Override instruct settings
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* @param {boolean} extractData - Whether to extract structured data from response
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* @param {AbortSignal?} [signal]
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* @returns {Promise<ExtractedData | (() => AsyncGenerator<StreamResponse>)>} If not streaming, returns extracted data; if streaming, returns a function that creates an AsyncGenerator
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* @throws {Error}
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*/
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static async processRequest(
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custom,
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options = {},
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extractData = true,
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signal = null,
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) {
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const { presetName, instructName } = options;
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let requestData = { ...custom };
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const prompt = custom.prompt;
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// Apply generation preset if specified
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if (presetName) {
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const presetManager = getPresetManager(this.TYPE);
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if (presetManager) {
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const preset = presetManager.getCompletionPresetByName(presetName);
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if (preset) {
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// Convert preset to payload and merge with custom parameters
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const presetPayload = this.presetToGeneratePayload(preset, {});
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requestData = { ...presetPayload, ...requestData };
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} else {
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console.warn(`Preset "${presetName}" not found, continuing with default settings`);
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}
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} else {
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console.warn('Preset manager not found, continuing with default settings');
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}
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}
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/** @type {InstructSettings | undefined} */
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let instructPreset;
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// Handle instruct formatting if requested
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if (Array.isArray(prompt) && instructName) {
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const instructPresetManager = getPresetManager('instruct');
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instructPreset = instructPresetManager?.getCompletionPresetByName(instructName);
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if (instructPreset) {
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// Clone the preset to avoid modifying the original
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instructPreset = structuredClone(instructPreset);
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instructPreset.names_behavior = names_behavior_types.NONE;
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if (options.instructSettings) {
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Object.assign(instructPreset, options.instructSettings);
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}
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// Format messages using instruct formatting
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const formattedMessages = [];
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for (const message of prompt) {
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let messageContent = message.content;
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if (!message.ignoreInstruct) {
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messageContent = formatInstructModeChat(
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message.role,
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message.content,
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message.role === 'user',
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false,
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undefined,
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undefined,
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undefined,
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undefined,
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instructPreset,
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);
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// Add prompt formatting for the last message
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if (message === prompt[prompt.length - 1]) {
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messageContent += formatInstructModePrompt(
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undefined,
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false,
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undefined,
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undefined,
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undefined,
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false,
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false,
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instructPreset,
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);
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}
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}
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formattedMessages.push(messageContent);
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}
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requestData.prompt = formattedMessages.join('');
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const stoppingStrings = getInstructStoppingSequences({ customInstruct: instructPreset, useStopStrings: false });
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requestData.stop = stoppingStrings;
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requestData.stopping_strings = stoppingStrings;
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} else {
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console.warn(`Instruct preset "${instructName}" not found, using basic formatting`);
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requestData.prompt = prompt.map(x => x.content).join('\n\n');
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}
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} else if (typeof prompt === 'string') {
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requestData.prompt = prompt;
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} else {
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requestData.prompt = prompt.map(x => x.content).join('\n\n');
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}
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// @ts-ignore
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const data = this.createRequestData(requestData);
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const response = await this.sendRequest(data, extractData, signal);
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// Remove stopping strings from the end
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if (!data.stream && extractData) {
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/** @type {ExtractedData} */
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// @ts-ignore
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const extractedData = response;
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let message = extractedData.content;
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message = message.replace(/[^\S\r\n]+$/gm, '');
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if (requestData.stopping_strings) {
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for (const stoppingString of requestData.stopping_strings) {
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if (stoppingString.length) {
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for (let j = stoppingString.length; j > 0; j--) {
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if (message.slice(-j) === stoppingString.slice(0, j)) {
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message = message.slice(0, -j);
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break;
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}
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}
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}
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}
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}
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if (instructPreset) {
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[
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instructPreset.stop_sequence,
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instructPreset.input_sequence,
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].forEach(sequence => {
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if (sequence?.trim()) {
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const index = message.indexOf(sequence);
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if (index !== -1) {
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message = message.substring(0, index);
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}
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}
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});
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[
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instructPreset.output_sequence,
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instructPreset.last_output_sequence,
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].forEach(sequences => {
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if (sequences) {
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sequences.split('\n')
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.filter(line => line.trim() !== '')
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.forEach(line => {
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message = message.replaceAll(line, '');
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});
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}
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});
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}
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extractedData.content = message;
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}
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return response;
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}
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/**
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* Converts a preset to a valid text completion payload.
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* Only supports temperature.
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* @param {Object} preset - The preset configuration
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* @param {Object} customPreset - Additional parameters to override preset values
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* @returns {Object} - Formatted payload for text completion API
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*/
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static presetToGeneratePayload(preset, customPreset = {}) {
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if (!preset || typeof preset !== 'object') {
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throw new Error('Invalid preset: must be an object');
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}
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// Merge preset with custom parameters
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const settings = { ...preset, ...customPreset };
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// Initialize base payload with common parameters
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let payload = {
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'temperature': settings.temp ? Number(settings.temp) : undefined,
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'min_p': settings.min_p ? Number(settings.min_p) : undefined,
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};
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// Remove undefined values to avoid API errors
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Object.keys(payload).forEach(key => {
|
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if (payload[key] === undefined) {
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delete payload[key];
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}
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});
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return payload;
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}
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}
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/**
|
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* Creates & sends a chat completion request.
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*/
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export class ChatCompletionService {
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static TYPE = 'openai';
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|
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/**
|
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* @param {ChatCompletionPayload} custom
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* @returns {ChatCompletionPayload}
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*/
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static createRequestData({ stream = false, messages, model, chat_completion_source, max_tokens, temperature, custom_url, ...props }) {
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const payload = {
|
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...props,
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stream,
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messages,
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model,
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chat_completion_source,
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max_tokens,
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temperature,
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custom_url,
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};
|
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|
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// Remove undefined values to avoid API errors
|
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Object.keys(payload).forEach(key => {
|
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if (payload[key] === undefined) {
|
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delete payload[key];
|
||||
}
|
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});
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||||
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return payload;
|
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}
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||||
|
||||
/**
|
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* Sends a chat completion request
|
||||
* @param {ChatCompletionPayload} data Request data
|
||||
* @param {boolean?} extractData Extract message from the response. Default true
|
||||
* @param {AbortSignal?} signal Abort signal
|
||||
* @returns {Promise<ExtractedData | (() => AsyncGenerator<StreamResponse>)>} If not streaming, returns extracted data; if streaming, returns a function that creates an AsyncGenerator
|
||||
* @throws {Error}
|
||||
*/
|
||||
static async sendRequest(data, extractData = true, signal = null) {
|
||||
const response = await fetch('/api/backends/chat-completions/generate', {
|
||||
method: 'POST',
|
||||
headers: getRequestHeaders(),
|
||||
cache: 'no-cache',
|
||||
body: JSON.stringify(data),
|
||||
signal: signal ?? new AbortController().signal,
|
||||
});
|
||||
|
||||
if (!data.stream) {
|
||||
const json = await response.json();
|
||||
if (!response.ok || json.error) {
|
||||
throw json;
|
||||
}
|
||||
|
||||
if (!extractData) {
|
||||
return json;
|
||||
}
|
||||
|
||||
return {
|
||||
content: extractMessageFromData(json, this.TYPE),
|
||||
reasoning: extractReasoningFromData(json, {
|
||||
mainApi: this.TYPE,
|
||||
textGenType: data.chat_completion_source,
|
||||
ignoreShowThoughts: true,
|
||||
}),
|
||||
};
|
||||
}
|
||||
|
||||
if (!response.ok) {
|
||||
const text = await response.text();
|
||||
tryParseStreamingError(response, text, { quiet: true });
|
||||
|
||||
throw new Error(`Got response status ${response.status}`);
|
||||
}
|
||||
|
||||
const eventStream = new EventSourceStream();
|
||||
response.body.pipeThrough(eventStream);
|
||||
const reader = eventStream.readable.getReader();
|
||||
return async function* streamData() {
|
||||
let text = '';
|
||||
const swipes = [];
|
||||
const state = { reasoning: '', image: '' };
|
||||
while (true) {
|
||||
const { done, value } = await reader.read();
|
||||
if (done) return;
|
||||
const rawData = value.data;
|
||||
if (rawData === '[DONE]') return;
|
||||
tryParseStreamingError(response, rawData, { quiet: true });
|
||||
const parsed = JSON.parse(rawData);
|
||||
|
||||
const reply = getStreamingReply(parsed, state, {
|
||||
chatCompletionSource: data.chat_completion_source,
|
||||
overrideShowThoughts: true,
|
||||
});
|
||||
if (Array.isArray(parsed?.choices) && parsed?.choices?.[0]?.index > 0) {
|
||||
const swipeIndex = parsed.choices[0].index - 1;
|
||||
swipes[swipeIndex] = (swipes[swipeIndex] || '') + reply;
|
||||
} else {
|
||||
text += reply;
|
||||
}
|
||||
|
||||
yield { text, swipes: swipes, state };
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Process and send a chat completion request with optional preset
|
||||
* @param {ChatCompletionPayload} custom
|
||||
* @param {Object} options - Configuration options
|
||||
* @param {string?} [options.presetName] - Name of the preset to use for generation settings
|
||||
* @param {boolean} [extractData=true] - Whether to extract structured data from response
|
||||
* @param {AbortSignal?} [signal] - Abort signal
|
||||
* @returns {Promise<ExtractedData | (() => AsyncGenerator<StreamResponse>)>} If not streaming, returns extracted data; if streaming, returns a function that creates an AsyncGenerator
|
||||
* @throws {Error}
|
||||
*/
|
||||
static async processRequest(custom, options, extractData = true, signal = null) {
|
||||
const { presetName } = options;
|
||||
let requestData = { ...custom };
|
||||
|
||||
// Apply generation preset if specified
|
||||
if (presetName) {
|
||||
const presetManager = getPresetManager(this.TYPE);
|
||||
if (presetManager) {
|
||||
const preset = presetManager.getCompletionPresetByName(presetName);
|
||||
if (preset) {
|
||||
// Convert preset to payload and merge with custom parameters
|
||||
const presetPayload = this.presetToGeneratePayload(preset, {});
|
||||
requestData = { ...presetPayload, ...requestData };
|
||||
} else {
|
||||
console.warn(`Preset "${presetName}" not found, continuing with default settings`);
|
||||
}
|
||||
} else {
|
||||
console.warn('Preset manager not found, continuing with default settings');
|
||||
}
|
||||
}
|
||||
|
||||
const data = this.createRequestData(requestData);
|
||||
|
||||
return await this.sendRequest(data, extractData, signal);
|
||||
}
|
||||
|
||||
/**
|
||||
* Converts a preset to a valid chat completion payload
|
||||
* Only supports temperature.
|
||||
* @param {Object} preset - The preset configuration
|
||||
* @param {Object} customParams - Additional parameters to override preset values
|
||||
* @returns {Object} - Formatted payload for chat completion API
|
||||
*/
|
||||
static presetToGeneratePayload(preset, customParams = {}) {
|
||||
if (!preset || typeof preset !== 'object') {
|
||||
throw new Error('Invalid preset: must be an object');
|
||||
}
|
||||
|
||||
// Merge preset with custom parameters
|
||||
const settings = { ...preset, ...customParams };
|
||||
|
||||
// Initialize base payload with common parameters
|
||||
const payload = {
|
||||
temperature: settings.temperature ? Number(settings.temperature) : undefined,
|
||||
};
|
||||
|
||||
// Remove undefined values to avoid API errors
|
||||
Object.keys(payload).forEach(key => {
|
||||
if (payload[key] === undefined) {
|
||||
delete payload[key];
|
||||
}
|
||||
});
|
||||
|
||||
return payload;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user