const { OpenAIClient, AzureKeyCredential } = require("@azure/openai"); const Provider = require("./ai-provider.js"); const InheritMultiple = require("./helpers/classes.js"); const UnTooled = require("./helpers/untooled.js"); /** * The agent provider for the Azure OpenAI API. */ class AzureOpenAiProvider extends InheritMultiple([Provider, UnTooled]) { model; constructor(_config = {}) { super(); const client = new OpenAIClient( process.env.AZURE_OPENAI_ENDPOINT, new AzureKeyCredential(process.env.AZURE_OPENAI_KEY) ); this._client = client; this.model = process.env.OPEN_MODEL_PREF ?? "gpt-3.5-turbo"; this.verbose = true; } get client() { return this._client; } async #handleFunctionCallChat({ messages = [] }) { return await this.client .getChatCompletions(this.model, messages, { temperature: 0, }) .then((result) => { if (!result.hasOwnProperty("choices")) throw new Error("Azure OpenAI chat: No results!"); if (result.choices.length === 0) throw new Error("Azure OpenAI chat: No results length!"); return result.choices[0].message.content; }) .catch((_) => { return null; }); } /** * Create a completion based on the received messages. * * @param messages A list of messages to send to the API. * @param functions * @returns The completion. */ async complete(messages, functions = null) { try { let completion; if (functions.length > 0) { const { toolCall, text } = await this.functionCall( messages, functions, this.#handleFunctionCallChat.bind(this) ); if (toolCall !== null) { this.providerLog(`Valid tool call found - running ${toolCall.name}.`); this.deduplicator.trackRun(toolCall.name, toolCall.arguments); return { result: null, functionCall: { name: toolCall.name, arguments: toolCall.arguments, }, cost: 0, }; } completion = { content: text }; } if (!completion?.content) { this.providerLog( "Will assume chat completion without tool call inputs." ); const response = await this.client.getChatCompletions( this.model, this.cleanMsgs(messages), { temperature: 0.7, } ); completion = response.choices[0].message; } // The UnTooled class inherited Deduplicator is mostly useful to prevent the agent // from calling the exact same function over and over in a loop within a single chat exchange // _but_ we should enable it to call previously used tools in a new chat interaction. this.deduplicator.reset("runs"); return { result: completion.content, cost: 0 }; } catch (error) { throw error; } } /** * Get the cost of the completion. * Stubbed since Azure OpenAI has no public cost basis. * * @param _usage The completion to get the cost for. * @returns The cost of the completion. */ getCost(_usage) { return 0; } } module.exports = AzureOpenAiProvider;