ac0b1d401d
* checkpoint * test MCP and flows * add native tool call detection back to LMStudio * add native tool call loops for Ollama * Add ablity detection to DMR (regex parse) * bedrock and generic openai with ENV flag * deepseek native tool calling * localAI native function * groq support * linting, add litellm and OR native tool calling via flag
102 lines
2.5 KiB
JavaScript
102 lines
2.5 KiB
JavaScript
const OpenAI = require("openai");
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const Provider = require("./ai-provider.js");
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const InheritMultiple = require("./helpers/classes.js");
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const UnTooled = require("./helpers/untooled.js");
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/**
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* The agent provider for the FireworksAI provider.
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* We wrap FireworksAI in UnTooled because its tool-calling may not be supported for specific models and this normalizes that.
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*/
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class FireworksAIProvider extends InheritMultiple([Provider, UnTooled]) {
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model;
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constructor(config = {}) {
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const { model = "accounts/fireworks/models/llama-v3p1-8b-instruct" } =
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config;
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super();
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const client = new OpenAI({
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baseURL: "https://api.fireworks.ai/inference/v1",
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apiKey: process.env.FIREWORKS_AI_LLM_API_KEY,
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maxRetries: 0,
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});
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this._client = client;
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this.model = model;
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this.verbose = true;
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}
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get client() {
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return this._client;
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}
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get supportsAgentStreaming() {
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return true;
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}
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/**
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* Whether this provider supports native OpenAI-compatible tool calling.
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* Override in subclass and return true to use native tool calling instead of UnTooled.
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* @returns {boolean|Promise<boolean>}
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*/
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supportsNativeToolCalling() {
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return false;
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}
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async #handleFunctionCallChat({ messages = [] }) {
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return await this.client.chat.completions
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.create({
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model: this.model,
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messages,
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})
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.then((result) => {
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if (!result.hasOwnProperty("choices"))
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throw new Error("FireworksAI chat: No results!");
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if (result.choices.length === 0)
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throw new Error("FireworksAI chat: No results length!");
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return result.choices[0].message.content;
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})
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.catch((_) => {
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return null;
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});
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}
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async #handleFunctionCallStream({ messages = [] }) {
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return await this.client.chat.completions.create({
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model: this.model,
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stream: true,
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messages,
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});
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}
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async stream(messages, functions = [], eventHandler = null) {
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return await UnTooled.prototype.stream.call(
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this,
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messages,
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functions,
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this.#handleFunctionCallStream.bind(this),
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eventHandler
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);
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}
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async complete(messages, functions = []) {
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return await UnTooled.prototype.complete.call(
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this,
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messages,
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functions,
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this.#handleFunctionCallChat.bind(this)
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);
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}
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/**
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* Get the cost of the completion.
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*
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* @param _usage The completion to get the cost for.
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* @returns The cost of the completion.
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*/
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getCost(_usage) {
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return 0;
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}
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}
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module.exports = FireworksAIProvider;
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