import { createOpencode, createOpencodeClient, type OpencodeClient, } from "@opencode-ai/sdk/v2"; import { config } from "../config.js"; import { logger } from "../logger.js"; export type RuntimeHealth = { healthy: boolean; version: string; }; export class OpencodeRuntimeAdapter { private clientPromise: Promise | null = null; private closeServer: (() => void) | null = null; async ensureClient(): Promise { if (!this.clientPromise) { this.clientPromise = this.bootstrapClient(); } return this.clientPromise; } async health(): Promise { const client = await this.ensureClient(); const response = await client.global.health(); return requireData(response.data, "global.health"); } async createSession(title?: string) { const client = await this.ensureClient(); const response = await client.session.create({ title, }); return requireData(response.data, "session.create"); } async getSession(id: string) { const client = await this.ensureClient(); const response = await client.session.get({ sessionID: id, }); return requireData(response.data, "session.get"); } async sendPrompt(sessionId: string, text: string) { const client = await this.ensureClient(); await client.session.prompt({ sessionID: sessionId, parts: [{ type: "text", text }], }); // 当前 SDK 响应风格下,prompt() 本身不会直接返回完整 assistant parts, // 所以这里紧跟一次 messages() 回读,给上层路由统一消费。 const messages = await client.session.messages({ sessionID: sessionId, limit: 20, }); return requireData(messages.data, "session.messages"); } async abortSession(sessionId: string) { const client = await this.ensureClient(); const response = await client.session.abort({ sessionID: sessionId, }); return requireData(response.data, "session.abort"); } async subscribeEvents() { const client = await this.ensureClient(); const response = await client.event.subscribe(); return response.stream; } async dispose(): Promise { this.closeServer?.(); this.closeServer = null; this.clientPromise = null; } private async bootstrapClient(): Promise { if (config.OPENCODE_BASE_URL) { logger.info( { baseUrl: config.OPENCODE_BASE_URL }, "connecting to external opencode server", ); return createOpencodeClient({ baseUrl: config.OPENCODE_BASE_URL, }); } // embedded 模式下,把服务内工具桥地址注入到 opencode 进程环境里, // 这样 .opencode/tools 下的自定义工具可以回调本服务。 process.env.TJWATER_AGENT_INTERNAL_BASE_URL = `http://127.0.0.1:${config.PORT}`; process.env.TJWATER_AGENT_INTERNAL_TOKEN = config.AGENT_INTERNAL_TOKEN ?? process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? ""; logger.info( { hostname: config.OPENCODE_HOSTNAME, port: config.OPENCODE_PORT, model: config.OPENCODE_MODEL, }, "starting embedded opencode server", ); const runtime = await createOpencode({ hostname: config.OPENCODE_HOSTNAME, port: config.OPENCODE_PORT, timeout: config.OPENCODE_TIMEOUT_MS, config: { model: config.OPENCODE_MODEL, }, }); this.closeServer = () => { runtime.server.close(); }; return runtime.client; } } export const opencodeRuntime = new OpencodeRuntimeAdapter(); function requireData(data: T | undefined, operation: string): T { if (data === undefined) { throw new Error(`${operation} returned no data`); } return data; }