/** * @license * Copyright 2025 Google LLC * SPDX-License-Identifier: Apache-2.0 */ import { GenerateContentConfig, GoogleGenAI, Part, Chat, SchemaUnion, PartListUnion, Content, FunctionDeclaration, Tool, } from '@google/genai'; import { CoreSystemPrompt } from './prompts.js'; import process from 'node:process'; import { getFolderStructure } from '../utils/getFolderStructure.js'; import { Turn, ServerTool, ServerGeminiStreamEvent } from './turn.js'; export class GeminiClient { private client: GoogleGenAI; private model: string; private generateContentConfig: GenerateContentConfig = { temperature: 0, topP: 1, }; private readonly MAX_TURNS = 100; constructor(apiKey: string, model: string) { this.client = new GoogleGenAI({ apiKey: apiKey }); this.model = model; } private async getEnvironment(): Promise { const cwd = process.cwd(); const today = new Date().toLocaleDateString(undefined, { weekday: 'long', year: 'numeric', month: 'long', day: 'numeric', }); const platform = process.platform; const folderStructure = await getFolderStructure(cwd); const context = ` Okay, just setting up the context for our chat. Today is ${today}. My operating system is: ${platform} I'm currently working in the directory: ${cwd} ${folderStructure} `.trim(); return { text: context }; } async startChat(toolDeclarations: FunctionDeclaration[]): Promise { const envPart = await this.getEnvironment(); const tools: Tool[] = [{ functionDeclarations: toolDeclarations }]; try { return this.client.chats.create({ model: this.model, config: { systemInstruction: CoreSystemPrompt, ...this.generateContentConfig, tools: tools, }, history: [ { role: 'user', parts: [envPart], }, { role: 'model', parts: [{ text: 'Got it. Thanks for the context!' }], }, ], }); } catch (error) { console.error('Error initializing Gemini chat session:', error); const message = error instanceof Error ? error.message : 'Unknown error.'; throw new Error(`Failed to initialize chat: ${message}`); } } async *sendMessageStream( chat: Chat, request: PartListUnion, availableTools: ServerTool[], signal?: AbortSignal, ): AsyncGenerator { let turns = 0; try { while (turns < this.MAX_TURNS) { turns++; const turn = new Turn(chat, availableTools); const resultStream = turn.run(request, signal); for await (const event of resultStream) { yield event; } const confirmations = turn.getConfirmationDetails(); if (confirmations.length > 0) { break; } // What do we do when we have both function responses and confirmations? const fnResponses = turn.getFunctionResponses(); if (fnResponses.length == 0) { break; // user's turn to respond } request = fnResponses; } if (turns >= this.MAX_TURNS) { console.warn( 'sendMessageStream: Reached maximum tool call turns limit.', ); } } catch (error: unknown) { if (error instanceof Error && error.name === 'AbortError') { console.log('Gemini stream request aborted by user.'); throw error; } console.error(`Error during Gemini stream or tool interaction:`, error); throw error; } } async generateJson( contents: Content[], schema: SchemaUnion, ): Promise> { try { const result = await this.client.models.generateContent({ model: this.model, config: { ...this.generateContentConfig, systemInstruction: CoreSystemPrompt, responseSchema: schema, responseMimeType: 'application/json', }, contents, }); if (!result || !result.text) { throw new Error('API returned an empty response.'); } try { return JSON.parse(result.text); } catch (parseError) { console.error('Failed to parse JSON response:', result.text); throw new Error( `Failed to parse API response as JSON: ${parseError instanceof Error ? parseError.message : String(parseError)}`, ); } } catch (error) { console.error('Error generating JSON content:', error); const message = error instanceof Error ? error.message : 'Unknown API error.'; throw new Error(`Failed to generate JSON content: ${message}`); } } }