287 lines
14 KiB
JavaScript
287 lines
14 KiB
JavaScript
var _AbstractChatCompletionRunner_instances, _AbstractChatCompletionRunner_getFinalContent, _AbstractChatCompletionRunner_getFinalMessage, _AbstractChatCompletionRunner_getFinalFunctionToolCall, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult, _AbstractChatCompletionRunner_calculateTotalUsage, _AbstractChatCompletionRunner_validateParams, _AbstractChatCompletionRunner_stringifyFunctionCallResult;
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import { __classPrivateFieldGet } from "../internal/tslib.mjs";
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import { OpenAIError } from "../error.mjs";
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import { isAutoParsableTool, parseChatCompletion } from "../lib/parser.mjs";
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import { isAssistantMessage, isToolMessage } from "./chatCompletionUtils.mjs";
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import { EventStream } from "./EventStream.mjs";
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import { isRunnableFunctionWithParse, } from "./RunnableFunction.mjs";
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const DEFAULT_MAX_CHAT_COMPLETIONS = 10;
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export class AbstractChatCompletionRunner extends EventStream {
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constructor() {
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super(...arguments);
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_AbstractChatCompletionRunner_instances.add(this);
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this._chatCompletions = [];
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this.messages = [];
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}
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_addChatCompletion(chatCompletion) {
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this._chatCompletions.push(chatCompletion);
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this._emit('chatCompletion', chatCompletion);
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const message = chatCompletion.choices[0]?.message;
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if (message)
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this._addMessage(message);
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return chatCompletion;
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}
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_addMessage(message, emit = true) {
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if (!('content' in message))
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message.content = null;
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this.messages.push(message);
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if (emit) {
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this._emit('message', message);
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if (isToolMessage(message) && message.content) {
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// Note, this assumes that {role: 'tool', content: …} is always the result of a call of tool of type=function.
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this._emit('functionToolCallResult', message.content);
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}
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else if (isAssistantMessage(message) && message.tool_calls) {
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for (const tool_call of message.tool_calls) {
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if (tool_call.type === 'function') {
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this._emit('functionToolCall', tool_call.function);
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}
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}
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}
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}
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}
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/**
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* @returns a promise that resolves with the final ChatCompletion, or rejects
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* if an error occurred or the stream ended prematurely without producing a ChatCompletion.
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*/
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async finalChatCompletion() {
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await this.done();
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const completion = this._chatCompletions[this._chatCompletions.length - 1];
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if (!completion)
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throw new OpenAIError('stream ended without producing a ChatCompletion');
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return completion;
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}
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/**
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* @returns a promise that resolves with the content of the final ChatCompletionMessage, or rejects
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* if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.
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*/
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async finalContent() {
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await this.done();
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return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalContent).call(this);
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}
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/**
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* @returns a promise that resolves with the the final assistant ChatCompletionMessage response,
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* or rejects if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.
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*/
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async finalMessage() {
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await this.done();
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return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalMessage).call(this);
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}
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/**
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* @returns a promise that resolves with the content of the final FunctionCall, or rejects
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* if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage.
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*/
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async finalFunctionToolCall() {
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await this.done();
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return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);
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}
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async finalFunctionToolCallResult() {
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await this.done();
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return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);
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}
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async totalUsage() {
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await this.done();
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return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_calculateTotalUsage).call(this);
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}
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allChatCompletions() {
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return [...this._chatCompletions];
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}
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_emitFinal() {
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const completion = this._chatCompletions[this._chatCompletions.length - 1];
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if (completion)
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this._emit('finalChatCompletion', completion);
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const finalMessage = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalMessage).call(this);
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if (finalMessage)
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this._emit('finalMessage', finalMessage);
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const finalContent = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalContent).call(this);
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if (finalContent)
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this._emit('finalContent', finalContent);
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const finalFunctionCall = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalFunctionToolCall).call(this);
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if (finalFunctionCall)
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this._emit('finalFunctionToolCall', finalFunctionCall);
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const finalFunctionCallResult = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalFunctionToolCallResult).call(this);
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if (finalFunctionCallResult != null)
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this._emit('finalFunctionToolCallResult', finalFunctionCallResult);
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if (this._chatCompletions.some((c) => c.usage)) {
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this._emit('totalUsage', __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_calculateTotalUsage).call(this));
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}
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}
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async _createChatCompletion(client, 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, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_validateParams).call(this, params);
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const chatCompletion = await client.chat.completions.create({ ...params, stream: false }, { ...options, signal: this.controller.signal });
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this._connected();
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return this._addChatCompletion(parseChatCompletion(chatCompletion, params));
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}
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async _runChatCompletion(client, params, options) {
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for (const message of params.messages) {
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this._addMessage(message, false);
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}
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return await this._createChatCompletion(client, params, options);
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}
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async _runTools(client, params, options) {
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const role = 'tool';
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const { tool_choice = 'auto', stream, ...restParams } = params;
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const singleFunctionToCall = typeof tool_choice !== 'string' && tool_choice.type === 'function' && tool_choice?.function?.name;
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const { maxChatCompletions = DEFAULT_MAX_CHAT_COMPLETIONS } = options || {};
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// TODO(someday): clean this logic up
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const inputTools = params.tools.map((tool) => {
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if (isAutoParsableTool(tool)) {
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if (!tool.$callback) {
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throw new OpenAIError('Tool given to `.runTools()` that does not have an associated function');
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}
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return {
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type: 'function',
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function: {
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function: tool.$callback,
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name: tool.function.name,
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description: tool.function.description || '',
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parameters: tool.function.parameters,
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parse: tool.$parseRaw,
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strict: true,
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},
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};
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}
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return tool;
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});
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const functionsByName = {};
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for (const f of inputTools) {
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if (f.type === 'function') {
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functionsByName[f.function.name || f.function.function.name] = f.function;
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}
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}
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const tools = 'tools' in params ?
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inputTools.map((t) => t.type === 'function' ?
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{
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type: 'function',
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function: {
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name: t.function.name || t.function.function.name,
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parameters: t.function.parameters,
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description: t.function.description,
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strict: t.function.strict,
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},
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}
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: t)
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: undefined;
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for (const message of params.messages) {
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this._addMessage(message, false);
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}
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for (let i = 0; i < maxChatCompletions; ++i) {
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const chatCompletion = await this._createChatCompletion(client, {
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...restParams,
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tool_choice,
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tools,
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messages: [...this.messages],
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}, options);
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const message = chatCompletion.choices[0]?.message;
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if (!message) {
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throw new OpenAIError(`missing message in ChatCompletion response`);
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}
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if (!message.tool_calls?.length) {
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return;
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}
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for (const tool_call of message.tool_calls) {
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if (tool_call.type !== 'function')
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continue;
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const tool_call_id = tool_call.id;
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const { name, arguments: args } = tool_call.function;
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const fn = functionsByName[name];
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if (!fn) {
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const content = `Invalid tool_call: ${JSON.stringify(name)}. Available options are: ${Object.keys(functionsByName)
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.map((name) => JSON.stringify(name))
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.join(', ')}. Please try again`;
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this._addMessage({ role, tool_call_id, content });
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continue;
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}
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else if (singleFunctionToCall && singleFunctionToCall !== name) {
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const content = `Invalid tool_call: ${JSON.stringify(name)}. ${JSON.stringify(singleFunctionToCall)} requested. Please try again`;
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this._addMessage({ role, tool_call_id, content });
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continue;
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}
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let parsed;
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try {
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parsed = isRunnableFunctionWithParse(fn) ? await fn.parse(args) : args;
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}
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catch (error) {
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const content = error instanceof Error ? error.message : String(error);
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this._addMessage({ role, tool_call_id, content });
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continue;
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}
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// @ts-expect-error it can't rule out `never` type.
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const rawContent = await fn.function(parsed, this);
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const content = __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_stringifyFunctionCallResult).call(this, rawContent);
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this._addMessage({ role, tool_call_id, content });
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if (singleFunctionToCall) {
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return;
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}
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}
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}
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return;
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}
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}
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_AbstractChatCompletionRunner_instances = new WeakSet(), _AbstractChatCompletionRunner_getFinalContent = function _AbstractChatCompletionRunner_getFinalContent() {
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return __classPrivateFieldGet(this, _AbstractChatCompletionRunner_instances, "m", _AbstractChatCompletionRunner_getFinalMessage).call(this).content ?? null;
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}, _AbstractChatCompletionRunner_getFinalMessage = function _AbstractChatCompletionRunner_getFinalMessage() {
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let i = this.messages.length;
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while (i-- > 0) {
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const message = this.messages[i];
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if (isAssistantMessage(message)) {
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// TODO: support audio here
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const ret = {
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...message,
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content: message.content ?? null,
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refusal: message.refusal ?? null,
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};
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return ret;
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}
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}
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throw new OpenAIError('stream ended without producing a ChatCompletionMessage with role=assistant');
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}, _AbstractChatCompletionRunner_getFinalFunctionToolCall = function _AbstractChatCompletionRunner_getFinalFunctionToolCall() {
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for (let i = this.messages.length - 1; i >= 0; i--) {
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const message = this.messages[i];
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if (isAssistantMessage(message) && message?.tool_calls?.length) {
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return message.tool_calls.filter((x) => x.type === 'function').at(-1)?.function;
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}
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}
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return;
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}, _AbstractChatCompletionRunner_getFinalFunctionToolCallResult = function _AbstractChatCompletionRunner_getFinalFunctionToolCallResult() {
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for (let i = this.messages.length - 1; i >= 0; i--) {
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const message = this.messages[i];
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if (isToolMessage(message) &&
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message.content != null &&
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typeof message.content === 'string' &&
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this.messages.some((x) => x.role === 'assistant' &&
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x.tool_calls?.some((y) => y.type === 'function' && y.id === message.tool_call_id))) {
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return message.content;
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}
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}
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return;
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}, _AbstractChatCompletionRunner_calculateTotalUsage = function _AbstractChatCompletionRunner_calculateTotalUsage() {
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const total = {
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completion_tokens: 0,
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prompt_tokens: 0,
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total_tokens: 0,
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};
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for (const { usage } of this._chatCompletions) {
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if (usage) {
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total.completion_tokens += usage.completion_tokens;
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total.prompt_tokens += usage.prompt_tokens;
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total.total_tokens += usage.total_tokens;
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}
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}
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return total;
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}, _AbstractChatCompletionRunner_validateParams = function _AbstractChatCompletionRunner_validateParams(params) {
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if (params.n != null && params.n > 1) {
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throw new OpenAIError('ChatCompletion convenience helpers only support n=1 at this time. To use n>1, please use chat.completions.create() directly.');
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}
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}, _AbstractChatCompletionRunner_stringifyFunctionCallResult = function _AbstractChatCompletionRunner_stringifyFunctionCallResult(rawContent) {
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return (typeof rawContent === 'string' ? rawContent
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: rawContent === undefined ? 'undefined'
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: JSON.stringify(rawContent));
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};
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//# sourceMappingURL=AbstractChatCompletionRunner.mjs.map
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