generated from ShadowVR/AI_botter
290 lines
14 KiB
JavaScript
290 lines
14 KiB
JavaScript
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var __classPrivateFieldGet = (this && this.__classPrivateFieldGet) || function (receiver, state, kind, f) {
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if (kind === "a" && !f) throw new TypeError("Private accessor was defined without a getter");
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if (typeof state === "function" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError("Cannot read private member from an object whose class did not declare it");
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return kind === "m" ? f : kind === "a" ? f.call(receiver) : f ? f.value : state.get(receiver);
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};
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var __classPrivateFieldSet = (this && this.__classPrivateFieldSet) || function (receiver, state, value, kind, f) {
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if (kind === "m") throw new TypeError("Private method is not writable");
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if (kind === "a" && !f) throw new TypeError("Private accessor was defined without a setter");
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if (typeof state === "function" ? receiver !== state || !f : !state.has(receiver)) throw new TypeError("Cannot write private member to an object whose class did not declare it");
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return (kind === "a" ? f.call(receiver, value) : f ? f.value = value : state.set(receiver, value)), value;
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};
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var _ChatCompletionStream_instances, _ChatCompletionStream_currentChatCompletionSnapshot, _ChatCompletionStream_beginRequest, _ChatCompletionStream_addChunk, _ChatCompletionStream_endRequest, _ChatCompletionStream_accumulateChatCompletion;
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import { OpenAIError, APIUserAbortError } from 'openai/error';
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import { AbstractChatCompletionRunner, } from "./AbstractChatCompletionRunner.mjs";
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import { Stream } from 'openai/streaming';
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export class ChatCompletionStream extends AbstractChatCompletionRunner {
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constructor() {
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super(...arguments);
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_ChatCompletionStream_instances.add(this);
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_ChatCompletionStream_currentChatCompletionSnapshot.set(this, void 0);
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}
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get currentChatCompletionSnapshot() {
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return __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, "f");
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}
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/**
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* Intended for use on the frontend, consuming a stream produced with
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* `.toReadableStream()` on the backend.
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*
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* Note that messages sent to the model do not appear in `.on('message')`
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* in this context.
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*/
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static fromReadableStream(stream) {
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const runner = new ChatCompletionStream();
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runner._run(() => runner._fromReadableStream(stream));
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return runner;
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}
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static createChatCompletion(completions, params, options) {
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const runner = new ChatCompletionStream();
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runner._run(() => runner._runChatCompletion(completions, { ...params, stream: true }, { ...options, headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' } }));
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return runner;
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}
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async _createChatCompletion(completions, params, options) {
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const signal = options?.signal;
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if (signal) {
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if (signal.aborted)
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this.controller.abort();
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signal.addEventListener('abort', () => this.controller.abort());
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}
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__classPrivateFieldGet(this, _ChatCompletionStream_instances, "m", _ChatCompletionStream_beginRequest).call(this);
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const stream = await completions.create({ ...params, stream: true }, { ...options, signal: this.controller.signal });
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this._connected();
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for await (const chunk of stream) {
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__classPrivateFieldGet(this, _ChatCompletionStream_instances, "m", _ChatCompletionStream_addChunk).call(this, chunk);
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}
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if (stream.controller.signal?.aborted) {
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throw new APIUserAbortError();
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}
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return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, "m", _ChatCompletionStream_endRequest).call(this));
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}
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async _fromReadableStream(readableStream, options) {
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const signal = options?.signal;
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if (signal) {
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if (signal.aborted)
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this.controller.abort();
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signal.addEventListener('abort', () => this.controller.abort());
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}
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__classPrivateFieldGet(this, _ChatCompletionStream_instances, "m", _ChatCompletionStream_beginRequest).call(this);
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this._connected();
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const stream = Stream.fromReadableStream(readableStream, this.controller);
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let chatId;
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for await (const chunk of stream) {
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if (chatId && chatId !== chunk.id) {
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// A new request has been made.
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this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, "m", _ChatCompletionStream_endRequest).call(this));
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}
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__classPrivateFieldGet(this, _ChatCompletionStream_instances, "m", _ChatCompletionStream_addChunk).call(this, chunk);
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chatId = chunk.id;
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}
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if (stream.controller.signal?.aborted) {
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throw new APIUserAbortError();
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}
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return this._addChatCompletion(__classPrivateFieldGet(this, _ChatCompletionStream_instances, "m", _ChatCompletionStream_endRequest).call(this));
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}
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[(_ChatCompletionStream_currentChatCompletionSnapshot = new WeakMap(), _ChatCompletionStream_instances = new WeakSet(), _ChatCompletionStream_beginRequest = function _ChatCompletionStream_beginRequest() {
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if (this.ended)
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return;
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__classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, "f");
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}, _ChatCompletionStream_addChunk = function _ChatCompletionStream_addChunk(chunk) {
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if (this.ended)
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return;
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const completion = __classPrivateFieldGet(this, _ChatCompletionStream_instances, "m", _ChatCompletionStream_accumulateChatCompletion).call(this, chunk);
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this._emit('chunk', chunk, completion);
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const delta = chunk.choices[0]?.delta?.content;
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const snapshot = completion.choices[0]?.message;
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if (delta != null && snapshot?.role === 'assistant' && snapshot?.content) {
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this._emit('content', delta, snapshot.content);
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}
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}, _ChatCompletionStream_endRequest = function _ChatCompletionStream_endRequest() {
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if (this.ended) {
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throw new OpenAIError(`stream has ended, this shouldn't happen`);
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}
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const snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, "f");
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if (!snapshot) {
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throw new OpenAIError(`request ended without sending any chunks`);
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}
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__classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, undefined, "f");
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return finalizeChatCompletion(snapshot);
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}, _ChatCompletionStream_accumulateChatCompletion = function _ChatCompletionStream_accumulateChatCompletion(chunk) {
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var _a, _b, _c;
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let snapshot = __classPrivateFieldGet(this, _ChatCompletionStream_currentChatCompletionSnapshot, "f");
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const { choices, ...rest } = chunk;
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if (!snapshot) {
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snapshot = __classPrivateFieldSet(this, _ChatCompletionStream_currentChatCompletionSnapshot, {
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...rest,
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choices: [],
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}, "f");
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}
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else {
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Object.assign(snapshot, rest);
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}
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for (const { delta, finish_reason, index, logprobs = null, ...other } of chunk.choices) {
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let choice = snapshot.choices[index];
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if (!choice) {
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choice = snapshot.choices[index] = { finish_reason, index, message: {}, logprobs, ...other };
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}
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if (logprobs) {
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if (!choice.logprobs) {
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choice.logprobs = Object.assign({}, logprobs);
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}
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else {
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const { content, ...rest } = logprobs;
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Object.assign(choice.logprobs, rest);
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if (content) {
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(_a = choice.logprobs).content ?? (_a.content = []);
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choice.logprobs.content.push(...content);
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}
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}
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}
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if (finish_reason)
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choice.finish_reason = finish_reason;
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Object.assign(choice, other);
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if (!delta)
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continue; // Shouldn't happen; just in case.
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const { content, function_call, role, tool_calls, ...rest } = delta;
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Object.assign(choice.message, rest);
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if (content)
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choice.message.content = (choice.message.content || '') + content;
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if (role)
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choice.message.role = role;
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if (function_call) {
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if (!choice.message.function_call) {
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choice.message.function_call = function_call;
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}
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else {
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if (function_call.name)
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choice.message.function_call.name = function_call.name;
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if (function_call.arguments) {
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(_b = choice.message.function_call).arguments ?? (_b.arguments = '');
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choice.message.function_call.arguments += function_call.arguments;
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}
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}
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}
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if (tool_calls) {
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if (!choice.message.tool_calls)
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choice.message.tool_calls = [];
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for (const { index, id, type, function: fn, ...rest } of tool_calls) {
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const tool_call = ((_c = choice.message.tool_calls)[index] ?? (_c[index] = {}));
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Object.assign(tool_call, rest);
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if (id)
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tool_call.id = id;
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if (type)
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tool_call.type = type;
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if (fn)
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tool_call.function ?? (tool_call.function = { arguments: '' });
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if (fn?.name)
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tool_call.function.name = fn.name;
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if (fn?.arguments)
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tool_call.function.arguments += fn.arguments;
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}
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}
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}
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return snapshot;
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}, Symbol.asyncIterator)]() {
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const pushQueue = [];
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const readQueue = [];
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let done = false;
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this.on('chunk', (chunk) => {
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const reader = readQueue.shift();
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if (reader) {
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reader(chunk);
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}
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else {
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pushQueue.push(chunk);
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}
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});
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this.on('end', () => {
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done = true;
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for (const reader of readQueue) {
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reader(undefined);
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}
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readQueue.length = 0;
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});
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return {
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next: async () => {
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if (!pushQueue.length) {
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if (done) {
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return { value: undefined, done: true };
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}
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return new Promise((resolve) => readQueue.push(resolve)).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }));
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}
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const chunk = pushQueue.shift();
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return { value: chunk, done: false };
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},
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};
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}
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toReadableStream() {
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const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller);
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return stream.toReadableStream();
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}
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}
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function finalizeChatCompletion(snapshot) {
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const { id, choices, created, model, system_fingerprint, ...rest } = snapshot;
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return {
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...rest,
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id,
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choices: choices.map(({ message, finish_reason, index, logprobs, ...choiceRest }) => {
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if (!finish_reason)
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throw new OpenAIError(`missing finish_reason for choice ${index}`);
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const { content = null, function_call, tool_calls, ...messageRest } = message;
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const role = message.role; // this is what we expect; in theory it could be different which would make our types a slight lie but would be fine.
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if (!role)
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throw new OpenAIError(`missing role for choice ${index}`);
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if (function_call) {
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const { arguments: args, name } = function_call;
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if (args == null)
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throw new OpenAIError(`missing function_call.arguments for choice ${index}`);
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if (!name)
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throw new OpenAIError(`missing function_call.name for choice ${index}`);
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return {
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...choiceRest,
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message: { content, function_call: { arguments: args, name }, role },
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finish_reason,
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index,
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logprobs,
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};
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}
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if (tool_calls) {
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return {
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...choiceRest,
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index,
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finish_reason,
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logprobs,
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message: {
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...messageRest,
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role,
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content,
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tool_calls: tool_calls.map((tool_call, i) => {
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const { function: fn, type, id, ...toolRest } = tool_call;
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const { arguments: args, name, ...fnRest } = fn || {};
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if (id == null)
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throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].id\n${str(snapshot)}`);
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if (type == null)
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throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].type\n${str(snapshot)}`);
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if (name == null)
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throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.name\n${str(snapshot)}`);
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if (args == null)
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throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].function.arguments\n${str(snapshot)}`);
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return { ...toolRest, id, type, function: { ...fnRest, name, arguments: args } };
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}),
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},
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};
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}
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return {
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...choiceRest,
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message: { ...messageRest, content, role },
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finish_reason,
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index,
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logprobs,
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};
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}),
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created,
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model,
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object: 'chat.completion',
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...(system_fingerprint ? { system_fingerprint } : {}),
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};
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}
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function str(x) {
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return JSON.stringify(x);
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}
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//# sourceMappingURL=ChatCompletionStream.mjs.map
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