AIServer/server/node_modules/openai/lib/AbstractChatCompletionRunner.mjs

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