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@axflow/models

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Zero-dependency, modular SDK for building robust natural language applications

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"use strict"; var __defProp = Object.defineProperty; var __getOwnPropDesc = Object.getOwnPropertyDescriptor; var __getOwnPropNames = Object.getOwnPropertyNames; var __hasOwnProp = Object.prototype.hasOwnProperty; var __export = (target, all) => { for (var name in all) __defProp(target, name, { get: all[name], enumerable: true }); }; var __copyProps = (to, from, except, desc) => { if (from && typeof from === "object" || typeof from === "function") { for (let key of __getOwnPropNames(from)) if (!__hasOwnProp.call(to, key) && key !== except) __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); } return to; }; var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod); // src/azure-openai/chat.ts var chat_exports = {}; __export(chat_exports, { AzureOpenAIChat: () => AzureOpenAIChat, headers: () => headers }); module.exports = __toCommonJS(chat_exports); var import_shared = require("@axflow/models/shared"); // src/openai/shared.ts function streamTransformer(map) { let buffer = []; const decoder = new TextDecoder(); return (bytes, controller) => { const chunk = decoder.decode(bytes); for (let i = 0, len = chunk.length; i < len; ++i) { const isChunkSeparator = chunk[i] === "\n" && buffer[buffer.length - 1] === "\n"; if (!isChunkSeparator) { buffer.push(chunk[i]); continue; } const parsedChunk = parseChunk(buffer.join("")); if (parsedChunk) { controller.enqueue(map(parsedChunk)); } buffer = []; } }; } var DATA_RE = /data:\s*(.+)/; function parseChunk(chunk) { chunk = chunk.trim(); if (chunk.length === 0) { return null; } const match = chunk.match(DATA_RE); try { const data = match[1]; return data === "[DONE]" ? null : JSON.parse(data); } catch (error) { throw new Error( `Encountered unexpected chunk while parsing OpenAI streaming response: ${JSON.stringify( chunk )}` ); } } // src/azure-openai/chat.ts function headers(apiKey, customHeaders) { const headers2 = { accept: "application/json", "content-type": "application/json", ...customHeaders }; if (typeof apiKey === "string") { headers2["api-key"] = apiKey; } return headers2; } var API_VERSION = "2023-08-01-preview"; var createUrl = (apiUrl) => { if (typeof apiUrl === "string") { return apiUrl; } else { return `https://${apiUrl.resourceName}.openai.azure.com/openai/deployments/${apiUrl.deploymentId}/chat/completions?api-version=${API_VERSION}`; } }; async function run(request, options) { const url = createUrl(options.apiUrl); const response = await (0, import_shared.POST)(url, { headers: headers(options.apiKey, options.headers), body: JSON.stringify({ ...request, stream: false }), fetch: options.fetch, signal: options.signal }); return response.json(); } async function streamBytes(request, options) { const url = createUrl(options.apiUrl); const response = await (0, import_shared.POST)(url, { headers: headers(options.apiKey, options.headers), body: JSON.stringify({ ...request, stream: true }), fetch: options.fetch, signal: options.signal }); if (!response.body) { throw new import_shared.HttpError("Expected response body to be a ReadableStream", response); } return response.body; } function noop(chunk) { return chunk; } async function stream(request, options) { const byteStream = await streamBytes(request, options); return byteStream.pipeThrough(new OpenAIChatDecoderStream(noop)); } async function streamTokens(request, options) { const byteStream = await streamBytes(request, options); return byteStream.pipeThrough(new OpenAIChatDecoderStream(chunkToToken)); } var OpenAIChatDecoderStream = class extends TransformStream { constructor(map) { super({ transform: streamTransformer(map) }); } }; function chunkToToken(chunk) { if (!chunk.choices || chunk.choices.length === 0) { return ""; } return chunk.choices[0].delta.content || ""; } var AzureOpenAIChat = class { static run = run; static streamBytes = streamBytes; static stream = stream; static streamTokens = streamTokens; }; // Annotate the CommonJS export names for ESM import in node: 0 && (module.exports = { AzureOpenAIChat, headers });