fix readme

Author: ranst91

integrations/langchain/typescript/README.md

@@ -1,46 +1,30 @@
-# @ag-ui/mastra
+# @ag-ui/langchain
 
-Implementation of the AG-UI protocol for Mastra.
-
-Connects Mastra agents (local and remote) to frontend applications via the AG-UI protocol. Supports streaming responses, memory management, and tool execution.
+Implementation of the AG-UI protocol for LangChain.
 
 ## Installation
 
 ```bash
-npm install @ag-ui/mastra
-pnpm add @ag-ui/mastra
-yarn add @ag-ui/mastra
+npm install @ag-ui/langchain
+pnpm add @ag-ui/langchain
+yarn add @ag-ui/langchain
 ```
 
 ## Usage
 
 ```ts
-import { MastraAgent } from "@ag-ui/mastra";
-import { mastra } from "./mastra"; // Your Mastra instance
+import { LangChainAgent } from "@ag-ui/langchain";
 
 // Create an AG-UI compatible agent
-const agent = new MastraAgent({
-  agent: mastra.getAgent("weather-agent"),
-  resourceId: "user-123",
-});
-
-// Run with streaming
-const result = await agent.runAgent({
-  messages: [{ role: "user", content: "What's the weather like?" }],
-});
-```
-
-## Features
-
-- **Local & remote agents** – Works with in-process and network Mastra agents
-- **Memory integration** – Automatic thread and working memory management
-- **Tool streaming** – Real-time tool call execution and results
-- **State management** – Bidirectional state synchronization
-
-## To run the example server in the dojo
-
-```bash
-cd integrations/mastra/typescript/examples
-pnpm install
-pnpm run dev
+const agent = new LangChainAgent({
+    chainFn: async ({ messages, tools, threadId }) => {
+        // Your chosen llm model
+        const { ChatOpenAI } = await import("@langchain/openai");
+        const chatOpenAI = new ChatOpenAI({ model: "gpt-4o" });
+        const model = chatOpenAI.bindTools(tools, {
+            strict: true,
+        });
+        return model.stream(messages, { tools, metadata: { conversation_id: threadId } });
+    },
+})
 ```