feat: add agent

packages/ai-lang/src/agent/index.ts

@@ -1,31 +0,0 @@
-import { createReactAgent } from '@langchain/langgraph/prebuilt';
-import { MemorySaver } from '@langchain/langgraph';
-import { ChatOllama } from '@langchain/ollama';
-import { ChatOpenAI } from '@langchain/openai';
-import { checkpointer } from '../module/save.ts';
-import { HumanMessage } from '@langchain/core/messages';
-export { HumanMessage };
-// const agentModel = new ChatOllama({ temperature: 0, model: 'llama3.1:8b', baseUrl: 'http://mz.zxj.im:11434' });
-export const agentModelBakllava = new ChatOllama({ temperature: 0, model: 'bakllava:latest', baseUrl: 'http://mz.zxj.im:11434' });
-export const agentModel = new ChatOllama({ temperature: 0, model: 'qwen2.5:14b', baseUrl: 'http://mz.zxj.im:11434' });
-export const agentModelOpenAI = new ChatOpenAI(
-  { temperature: 0, model: 'gpt-4o', apiKey: 'sk-GJE6I8OJWDr2ErFBD4C4706a65Ad4cD9B596Cf7c76943e45' },
-  {
-    baseURL: 'https://oneapi.on-ai.ai/v1',
-  },
-);
-
-const agentCheckpointer = checkpointer;
-
-export const agent = createReactAgent({
-  llm: agentModel,
-  tools: [],
-  checkpointSaver: agentCheckpointer,
-});
-export const agentLlava = createReactAgent({
-  llm: agentModelBakllava,
-  tools: [],
-  checkpointSaver: agentCheckpointer,
-});
-
-export const agentOpenAI = createReactAgent({ llm: agentModelOpenAI, tools: [], checkpointSaver: agentCheckpointer });

packages/ai-lang/src/app.ts

@@ -2,7 +2,6 @@ import { App } from '@abearxiong/router';
 import { useConfig } from '@abearxiong/use-config';
 
 const config = useConfig();
-console.log('config in ai-lang', config);
 
 export const app = new App({
   serverOptions: {

packages/ai-lang/src/index.ts

@@ -1 +1,4 @@
-export * from './app.ts'
+export * from './app.ts';
+import './routes/agent.ts';
+import { agentManger } from './module/agent.ts';
+export { agentManger };

packages/ai-lang/src/module/agent.ts

@@ -0,0 +1,51 @@
+import { AiAgent, AiAgentOpts } from './create-agent.ts';
+export enum AgentMangerStatus {
+  init = 'i',
+  ready = 'r',
+  error = 'e',
+}
+export class AgentManger {
+  agents: AiAgent[] = [];
+  staus: AgentMangerStatus = AgentMangerStatus.init;
+  constructor() {}
+  addAgent(agent: AiAgent) {
+    this.agents.push(agent);
+  }
+  getAgent(id: string) {
+    const agent = this.agents.find((agent) => agent.id === id);
+    return agent;
+  }
+  removeAgent(id: string) {
+    this.agents = this.agents.filter((agent) => agent.id !== id);
+  }
+  createAgent(opts: AiAgentOpts) {
+    if (!opts.id) {
+      const agent = new AiAgent(opts);
+      this.addAgent(agent);
+      return agent;
+    }
+    const agent = this.agents.find((agent) => agent.id === opts.id);
+    if (!agent) {
+      const agent = new AiAgent(opts);
+      this.addAgent(agent);
+      return agent;
+    }
+    return agent;
+  }
+  /**
+   * 临时创建一个agent
+   * @param opts
+   * @returns
+   */
+  newAgent(opts: AiAgentOpts) {
+    return new AiAgent(opts);
+  }
+  createAgentList(opts: AiAgentOpts[]) {
+    if (this.staus === AgentMangerStatus.init) {
+      return;
+    }
+    this.staus = AgentMangerStatus.ready;
+    return opts.map((opt) => this.createAgent(opt));
+  }
+}
+export const agentManger = new AgentManger();

packages/ai-lang/src/module/create-agent.ts

@@ -0,0 +1,142 @@
+import { createReactAgent } from '@langchain/langgraph/prebuilt';
+import { MemorySaver } from '@langchain/langgraph';
+import { ChatOllama } from '@langchain/ollama';
+import { ChatOpenAI } from '@langchain/openai';
+import { client } from './mongo.ts';
+import { MongoDBSaver } from '@langchain/langgraph-checkpoint-mongodb';
+import { nanoid } from 'nanoid';
+import { HumanMessage } from '@langchain/core/messages';
+export { HumanMessage };
+
+export const agentModelList = ['qwen2.5:14b', 'qwen2.5-coder:7b', 'llama3.1:8b', 'bakllava:latest', 'gpt-4o'] as const;
+export type AiAgentModel = (typeof agentModelList)[number];
+export type AiAgentCache = 'memory' | 'mongodb';
+export type AiAgentOpts = {
+  id: string;
+  type: 'ollama' | 'openai';
+  model: AiAgentModel;
+  baseUrl: string;
+  apiKey?: string;
+  temperature?: number;
+  cache?: AiAgentCache;
+  cacheName?: string;
+};
+export type AiAgentStatus = 'ready' | 'loading' | 'error';
+// export const CreateAgent = (opts: CreateAgentOptions) => {
+//   const;
+// };
+
+export class AiAgent {
+  agent: ReturnType<typeof createReactAgent>;
+  agentModel: ChatOllama | ChatOpenAI;
+  memorySaver: MemorySaver | MongoDBSaver;
+  id: string;
+  baseUrl: string;
+  type: 'ollama' | 'openai';
+  model: AiAgentModel;
+  apiKey: string;
+  temperature = 0;
+  cache?: AiAgentCache;
+  cacheName?: string;
+  status?: 'ready' | 'loading' | 'error';
+  constructor(opts?: AiAgentOpts) {
+    this.type = opts?.type || 'ollama';
+    this.baseUrl = opts?.baseUrl || 'http://localhost:11434';
+    this.model = opts?.model;
+    this.apiKey = opts?.apiKey;
+    this.temperature = opts?.temperature || 0;
+    this.cache = opts?.cache || 'mongodb';
+    this.cacheName = opts?.cacheName || 'checkpointer';
+    this.id = opts?.id || nanoid(8);
+    if (this.type === 'openai') {
+      if (!this.apiKey) {
+        throw new Error('apiKey is required for openai agent');
+      }
+    }
+    this.status = 'loading';
+    this.createAgent();
+  }
+  createAgent() {
+    this.createAgentModel();
+    this.createMemoerSaver();
+    if (this.status === 'error') {
+      return;
+    }
+
+    const agentModel = this.agentModel;
+    const memoerSaver = this.memorySaver;
+    this.agent = createReactAgent({
+      llm: agentModel,
+      tools: [],
+      checkpointSaver: memoerSaver,
+    });
+    this.status = 'ready';
+  }
+  createAgentModel() {
+    const type = this.type;
+    const model = this.model;
+    const temperature = this.temperature;
+    const apiKey = this.apiKey;
+    const baseUrl = this.baseUrl;
+    let agentModel;
+    try {
+      if (type === 'ollama') {
+        agentModel = new ChatOllama({ temperature, model, baseUrl });
+      } else if (type === 'openai') {
+        agentModel = new ChatOpenAI(
+          { temperature, model, apiKey },
+          {
+            baseURL: baseUrl,
+          },
+        );
+      }
+    } catch (e) {
+      console.error('loading model error', e);
+      this.status = 'error';
+      return;
+    }
+    this.agentModel = agentModel;
+    return this;
+  }
+  createMemoerSaver() {
+    const cache = this.cache;
+    const cacheName = this.cacheName;
+    let memorySaver;
+    try {
+      if (cache === 'memory') {
+        memorySaver = new MemorySaver();
+      } else if (cache === 'mongodb') {
+        memorySaver = new MongoDBSaver({ client, dbName: cacheName });
+      }
+    } catch (e) {
+      console.error(e);
+      this.status = 'error';
+      return;
+    }
+    this.memorySaver = memorySaver;
+  }
+  sendHumanMessage(message: string, opts?: { thread_id: string }) {
+    const mesage = new HumanMessage(message);
+    return this.agent.invoke({ messages: [mesage] }, { configurable: { thread_id: 'test_human', ...opts } });
+  }
+  close() {
+    // 清除 memory saver
+    this.memorySaver = null;
+    this.agentModel = null;
+    this.agent = null;
+  }
+  async testQuery() {
+    const id = this.id;
+    try {
+      const agent = this.agent;
+      const message = new HumanMessage('你好');
+      const res = await agent.invoke({ messages: [message] }, { configurable: { thread_id: 'test_ping' } });
+      if (res) {
+        return res;
+      }
+    } catch (e) {
+      console.error(`test query [${id}]:`, e);
+      this.status = 'error';
+    }
+  }
+}

packages/ai-lang/src/module/mongo.ts

@@ -2,3 +2,13 @@ import { MongoClient } from 'mongodb';
 import { useConfig } from '@abearxiong/use-config';
 const { mongo } = useConfig<{ host: string; password: string; username: string }>();
 export const client = new MongoClient(`mongodb://${mongo.username}:${mongo.password}@${mongo.host}`, {});
+
+// 当连接成功时，打印出连接成功的信息
+client
+  .connect()
+  .then(() => {
+    console.log('mongo Connected successfully to server');
+  })
+  .catch((err) => {
+    console.error(err);
+  });

packages/ai-lang/src/module/save.ts

@@ -1,4 +0,0 @@
-import { MongoDBSaver } from '@langchain/langgraph-checkpoint-mongodb';
-import { client } from './mongo.ts';
-
-export const checkpointer = new MongoDBSaver({ client });

packages/ai-lang/src/routes/agent.ts

@@ -1,10 +1,19 @@
+import { CustomError } from '@abearxiong/router';
 import { app } from '../app.ts';
-import { agent, HumanMessage } from '../agent/index.ts';
+// import { agent, HumanMessage } from '../agent/index.ts';
+import { agentManger } from '../module/agent.ts';
 app
   .route('ai', 'chat')
   .define(async (ctx) => {
-    const { message } = ctx.query;
-    const response = await agent.invoke({ messages: [new HumanMessage(message)] }, { configurable: { thread_id: '44' } });
-    ctx.body = response;
+    const { message, agentId, chatId } = ctx.query.data;
+    // const response = await agent.invoke({ messages: [new HumanMessage(message)] }, { configurable: { thread_id: '44' } });
+    // ctx.body = response;
+    //
+    const agent = agentManger.getAgent(agentId);
+    if (!agent) {
+      throw new CustomError('agent not found');
+    }
   })
   .addTo(app);
+
+// app.router.parse({})