diff --git a/.gitignore b/.gitignore index 04d768c88..441680cc4 100644 --- a/.gitignore +++ b/.gitignore @@ -92,6 +92,13 @@ Desktop.ini .claude/*.local.* .stripe/ +# Wizard-run droppings inside fixture apps — installed skills, the run cache, +# and the setup report a run leaves behind must never be committed as fixture +# state (they bias later runs into skipping install/report steps). +apps/**/.claude/skills/ +apps/**/.posthog-wizard-cache/ +apps/**/posthog-*-report.md + # Temporary tmp/ temp/ diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/.gitignore b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/.gitignore new file mode 100644 index 000000000..d19729d8d --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/.gitignore @@ -0,0 +1,27 @@ +# Dependencies +node_modules/ + +# Build output +dist/ + +# Environment variables +.env +.env.local +.env.*.local + +# Logs +*.log +npm-debug.log* + +# Editor +.vscode/ +.idea/ +*.swp +*.swo + +# OS +.DS_Store +Thumbs.db + +# TypeScript cache +*.tsbuildinfo diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/CLAUDE.md b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/CLAUDE.md new file mode 100644 index 000000000..ac0822404 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/CLAUDE.md @@ -0,0 +1,81 @@ +# Simple Chat App + +A minimal chat application demonstrating the Claude Agent SDK. + +## Architecture + +- **Frontend**: React + Vite + Tailwind CSS +- **Backend**: Node.js + Express + WebSocket (ws) +- **Agent**: Claude Agent SDK integrated directly on the server + +## Running the App + +```bash +cd simple-chatapp +npm install +npm run dev +``` + +This starts both: +- Backend server on http://localhost:3001 +- Vite dev server on http://localhost:5173 + +Visit http://localhost:5173 + +## Project Structure + +``` +simple-chatapp/ +├── client/ # React frontend +│ ├── App.tsx # Main app component +│ ├── index.tsx # Entry point +│ ├── index.html # HTML template +│ ├── globals.css # Tailwind CSS +│ ├── components/ +│ │ ├── ChatList.tsx # Left sidebar with chat list +│ │ └── ChatWindow.tsx # Main chat interface +│ └── hooks/ +│ └── useWebSocket.ts # WebSocket hook +├── server/ +│ ├── server.ts # Express server (REST + WebSocket) +│ ├── ai-client.ts # Claude Agent SDK wrapper +│ ├── session.ts # Chat session management +│ ├── chat-store.ts # In-memory chat storage +│ └── types.ts # TypeScript types +├── package.json +├── tsconfig.json +├── vite.config.ts +├── tailwind.config.js +└── postcss.config.js +``` + +## API Endpoints + +### REST API + +- `GET /api/chats` - List all chats +- `POST /api/chats` - Create new chat +- `GET /api/chats/:id` - Get chat details +- `DELETE /api/chats/:id` - Delete chat +- `GET /api/chats/:id/messages` - Get chat messages + +### WebSocket (`ws://localhost:3001/ws`) + +**Client -> Server:** +- `{ type: "subscribe", chatId: string }` - Subscribe to a chat +- `{ type: "chat", chatId: string, content: string }` - Send message + +**Server -> Client:** +- `{ type: "connected" }` - Connection established +- `{ type: "history", messages: [...] }` - Chat history +- `{ type: "assistant_message", content: string }` - AI response +- `{ type: "tool_use", toolName: string, toolInput: {...} }` - Tool being used +- `{ type: "result", success: boolean }` - Query complete +- `{ type: "error", error: string }` - Error occurred + +## Notes + +- In-memory storage (data lost on restart) +- Agent has access to: Bash, Read, Write, Edit, Glob, Grep, WebSearch, WebFetch +- Uses Vite for frontend development with hot reload +- Uses tsx for TypeScript execution on the backend diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/README.md b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/README.md new file mode 100644 index 000000000..291ea9cb3 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/README.md @@ -0,0 +1,46 @@ +# Simple Chat App + +A demo chat application using the Claude Agent SDK with a React frontend and Express backend. + +![Architecture Diagram](diagram.png) + +## Getting Started + +### Prerequisites + +- Node.js 18+ +- Claude Agent SDK credentials (set `ANTHROPIC_API_KEY` environment variable) + +### Installation + +```bash +npm install +``` + +### Running + +```bash +npm run dev +``` + +This starts both: +- **Backend** (Express + WebSocket) on http://localhost:3001 +- **Frontend** (Vite + React) on http://localhost:5173 + +Open http://localhost:5173 in your browser. + +## Production Considerations + +This is an example app for demonstration purposes. For production use, consider: + +1. **Isolate the Agent SDK** - Move the SDK into a separate container/service. This provides better security isolation since the agent has access to tools like Bash, file system operations, and web requests. + +2. **Persistent storage** - Replace the in-memory `ChatStore` with a database. Currently all chats are lost on server restart. + +3. **Transcript syncing** - For Agent Sessions to be persisted across server restarts, you'll need to persist and restore the SDK's conversation transcripts. The SDK maintains internal state for multi-turn conversations that must be synced with your storage. + +4. **Authentication** - Add user authentication and authorization. Currently anyone can access any chat. + +## Demo + +![Demo](demo.gif) \ No newline at end of file diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/App.tsx b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/App.tsx new file mode 100644 index 000000000..a0e466dd9 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/App.tsx @@ -0,0 +1,208 @@ +import { useState, useEffect, useCallback } from "react"; +import useWebSocket, { ReadyState } from "react-use-websocket"; +import { ChatList } from "./components/ChatList"; +import { ChatWindow } from "./components/ChatWindow"; + +interface Chat { + id: string; + title: string; + createdAt: string; + updatedAt: string; +} + +interface Message { + id: string; + role: "user" | "assistant" | "tool_use"; + content: string; + timestamp: string; + toolName?: string; + toolInput?: Record; +} + +// Use relative URLs - Vite will proxy to the backend +const API_BASE = "/api"; +const WS_URL = `ws://${window.location.hostname}:3001/ws`; + +export default function App() { + const [chats, setChats] = useState([]); + const [selectedChatId, setSelectedChatId] = useState(null); + const [messages, setMessages] = useState([]); + const [isLoading, setIsLoading] = useState(false); + + // Handle WebSocket messages + const handleWSMessage = useCallback((message: any) => { + switch (message.type) { + case "connected": + console.log("Connected to server"); + break; + + case "history": + setMessages(message.messages || []); + break; + + case "user_message": + // User message already added locally + break; + + case "assistant_message": + setMessages((prev) => [ + ...prev, + { + id: crypto.randomUUID(), + role: "assistant", + content: message.content, + timestamp: new Date().toISOString(), + }, + ]); + setIsLoading(false); + break; + + case "tool_use": + // Add tool use to messages array so it persists + // Alternative: To show tool uses only while pending, store them in a + // separate `pendingToolUses` state and clear it on "assistant_message" or "result" + setMessages((prev) => [ + ...prev, + { + id: message.toolId, + role: "tool_use", + content: "", + timestamp: new Date().toISOString(), + toolName: message.toolName, + toolInput: message.toolInput, + }, + ]); + break; + + case "result": + setIsLoading(false); + // Refresh chat list to get updated titles + fetchChats(); + break; + + case "error": + console.error("Server error:", message.error); + setIsLoading(false); + break; + } + }, []); + + const { sendJsonMessage, readyState, lastJsonMessage } = useWebSocket(WS_URL, { + shouldReconnect: () => true, + reconnectAttempts: 10, + reconnectInterval: 3000, + }); + + const isConnected = readyState === ReadyState.OPEN; + + // Handle incoming WebSocket messages + useEffect(() => { + if (lastJsonMessage) { + handleWSMessage(lastJsonMessage); + } + }, [lastJsonMessage, handleWSMessage]); + + // Fetch all chats + const fetchChats = async () => { + try { + const res = await fetch(`${API_BASE}/chats`); + const data = await res.json(); + setChats(data); + } catch (error) { + console.error("Failed to fetch chats:", error); + } + }; + + // Create new chat + const createChat = async () => { + try { + const res = await fetch(`${API_BASE}/chats`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + }); + const chat = await res.json(); + setChats((prev) => [chat, ...prev]); + selectChat(chat.id); + } catch (error) { + console.error("Failed to create chat:", error); + } + }; + + // Delete chat + const deleteChat = async (chatId: string) => { + try { + await fetch(`${API_BASE}/chats/${chatId}`, { method: "DELETE" }); + setChats((prev) => prev.filter((c) => c.id !== chatId)); + if (selectedChatId === chatId) { + setSelectedChatId(null); + setMessages([]); + } + } catch (error) { + console.error("Failed to delete chat:", error); + } + }; + + // Select a chat + const selectChat = (chatId: string) => { + setSelectedChatId(chatId); + setMessages([]); + setIsLoading(false); + + // Subscribe to chat via WebSocket + sendJsonMessage({ type: "subscribe", chatId }); + }; + + // Send a message + const handleSendMessage = (content: string) => { + if (!selectedChatId || !isConnected) return; + + // Add message optimistically + setMessages((prev) => [ + ...prev, + { + id: crypto.randomUUID(), + role: "user", + content, + timestamp: new Date().toISOString(), + }, + ]); + + setIsLoading(true); + + // Send via WebSocket + sendJsonMessage({ + type: "chat", + content, + chatId: selectedChatId, + }); + }; + + // Initial fetch + useEffect(() => { + fetchChats(); + }, []); + + return ( +
+ {/* Sidebar */} +
+ +
+ + {/* Main chat area */} + +
+ ); +} diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/components/ChatList.tsx b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/components/ChatList.tsx new file mode 100644 index 000000000..aa411d4ad --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/components/ChatList.tsx @@ -0,0 +1,82 @@ +import React from "react"; + +interface Chat { + id: string; + title: string; + createdAt: string; + updatedAt: string; +} + +interface ChatListProps { + chats: Chat[]; + selectedChatId: string | null; + onSelectChat: (chatId: string) => void; + onNewChat: () => void; + onDeleteChat: (chatId: string) => void; +} + +export function ChatList({ + chats, + selectedChatId, + onSelectChat, + onNewChat, + onDeleteChat, +}: ChatListProps) { + return ( +
+ {/* Header */} +
+ +
+ + {/* Chat list */} +
+ {chats.length === 0 ? ( +
+

No chats yet

+

Click "New Chat" to start

+
+ ) : ( +
+ {chats.map((chat) => ( +
onSelectChat(chat.id)} + > + 💬 + {chat.title} + +
+ ))} +
+ )} +
+ + {/* Footer */} +
+

+ Simple Chat App +

+
+
+ ); +} diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/components/ChatWindow.tsx b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/components/ChatWindow.tsx new file mode 100644 index 000000000..aa1dca1b3 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/components/ChatWindow.tsx @@ -0,0 +1,185 @@ +import React, { useState, useRef, useEffect } from "react"; + +interface Message { + id: string; + role: "user" | "assistant" | "tool_use"; + content: string; + timestamp: string; + toolName?: string; + toolInput?: Record; +} + +interface ChatWindowProps { + chatId: string | null; + messages: Message[]; + isConnected: boolean; + isLoading: boolean; + onSendMessage: (content: string) => void; +} + +function ToolUseBlock({ message }: { message: Message }) { + const [isExpanded, setIsExpanded] = useState(false); + + const getToolSummary = () => { + const input = message.toolInput || {}; + switch (message.toolName) { + case "Read": + return input.file_path; + case "Write": + case "Edit": + return input.file_path; + case "Bash": + return input.command?.slice(0, 60) + (input.command?.length > 60 ? "..." : ""); + case "Grep": + return `"${input.pattern}" in ${input.path || "."}`; + case "Glob": + return input.pattern; + case "WebSearch": + return input.query; + case "WebFetch": + return input.url; + default: + return JSON.stringify(input).slice(0, 50); + } + }; + + return ( +
+ + {isExpanded && ( +
+ 
+            {JSON.stringify(message.toolInput, null, 2)}
+
+
+ )} +
+ ); +} + +function MessageBubble({ message }: { message: Message }) { + const isUser = message.role === "user"; + + return ( +
+
+

{message.content}

+
+
+ ); +} + +export function ChatWindow({ + chatId, + messages, + isConnected, + isLoading, + onSendMessage, +}: ChatWindowProps) { + const [input, setInput] = useState(""); + const messagesEndRef = useRef(null); + + useEffect(() => { + messagesEndRef.current?.scrollIntoView({ behavior: "smooth" }); + }, [messages]); + + const handleSubmit = (e: React.FormEvent) => { + e.preventDefault(); + if (!input.trim() || !chatId || isLoading || !isConnected) return; + onSendMessage(input.trim()); + setInput(""); + }; + + if (!chatId) { + return ( +
+
+

Welcome to Simple Chat

+

Select a chat or create a new one to get started

+
+
+ ); + } + + return ( +
+ {/* Header */} +
+

Chat

+
+ {isConnected ? ( + ● Connected + ) : ( + ○ Disconnected + )} +
+
+ + {/* Messages */} +
+ {messages.length === 0 ? ( +
+

Start a conversation

+
+ ) : ( + <> + {messages.map((msg) => + msg.role === "tool_use" ? ( + + ) : ( + + ) + )} + {isLoading && ( +
+ ● + Thinking... +
+ )} + + )} +
+
+ + {/* Input */} +
+
+ setInput(e.target.value)} + placeholder={isConnected ? "Type a message..." : "Connecting..."} + disabled={!isConnected || isLoading} + className="flex-1 px-4 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-transparent disabled:bg-gray-100" + /> + +
+
+
+ ); +} diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/globals.css b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/globals.css new file mode 100644 index 000000000..b5c61c956 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/globals.css @@ -0,0 +1,3 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/index.html b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/index.html new file mode 100644 index 000000000..94ec820c5 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/index.html @@ -0,0 +1,12 @@ + + + + + + Simple Chat App + + +
+ + + diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/index.tsx b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/index.tsx new file mode 100644 index 000000000..b305c9904 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/client/index.tsx @@ -0,0 +1,10 @@ +import React from "react"; +import { createRoot } from "react-dom/client"; +import App from "./App"; +import "./globals.css"; + +const container = document.getElementById("root"); +if (container) { + const root = createRoot(container); + root.render(); +} diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/demo.gif b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/demo.gif new file mode 100644 index 000000000..cc6d9df63 Binary files /dev/null and b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/demo.gif differ diff --git 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a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/package.json b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/package.json new file mode 100644 index 000000000..623189b7a --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/package.json @@ -0,0 +1,41 @@ +{ + "name": "simple-chatapp", + "version": "1.0.0", + "type": "module", + "description": "A simple chat application with Claude Agent SDK", + "scripts": { + "dev": "concurrently \"npm run dev:server\" \"npm run dev:client\"", + "dev:server": "tsx watch server/server.ts", + "dev:client": "vite --port 5173", + "start": "tsx server/server.ts", + "build": "vite build" + }, + "dependencies": { + "@anthropic-ai/claude-agent-sdk": "^0.1.28", + "cors": "^2.8.5", + "dotenv": "^16.4.5", + "express": "^4.21.0", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "react-use-websocket": "^4.13.0", + "uuid": "^10.0.0", + "ws": "^8.18.0" + }, + "devDependencies": { + "@types/cors": "^2.8.17", + "@types/express": "^4.17.21", + "@types/node": "^22.0.0", + "@types/react": "^18.3.0", + "@types/react-dom": "^18.3.0", + "@types/uuid": "^10.0.0", + "@types/ws": "^8.5.12", + "@vitejs/plugin-react": "^4.3.0", + "autoprefixer": "^10.4.20", + "concurrently": "^9.0.0", + "postcss": "^8.4.47", + "tailwindcss": "^3.4.14", + "tsx": "^4.19.0", + "typescript": "^5.5.0", + "vite": "^5.4.0" + } +} diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/postcss.config.js b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/postcss.config.js new file mode 100644 index 000000000..2aa7205d4 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/ai-client.ts b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/ai-client.ts new file mode 100644 index 000000000..ee20f13d9 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/ai-client.ts @@ -0,0 +1,107 @@ +import { query } from "@anthropic-ai/claude-agent-sdk"; + +const SYSTEM_PROMPT = `You are a helpful AI assistant. You can help users with a wide variety of tasks including: +- Answering questions +- Writing and editing text +- Coding and debugging +- Analysis and research +- Creative tasks + +Be concise but thorough in your responses.`; + +type UserMessage = { + type: "user"; + message: { role: "user"; content: string }; +}; + +// Simple async queue - messages go in via push(), come out via async iteration +class MessageQueue { + private messages: UserMessage[] = []; + private waiting: ((msg: UserMessage) => void) | null = null; + private closed = false; + + push(content: string) { + const msg: UserMessage = { + type: "user", + message: { + role: "user", + content, + }, + }; + + if (this.waiting) { + // Someone is waiting for a message - give it to them + this.waiting(msg); + this.waiting = null; + } else { + // No one waiting - queue it + this.messages.push(msg); + } + } + + async *[Symbol.asyncIterator](): AsyncIterableIterator { + while (!this.closed) { + if (this.messages.length > 0) { + yield this.messages.shift()!; + } else { + // Wait for next message + yield await new Promise((resolve) => { + this.waiting = resolve; + }); + } + } + } + + close() { + this.closed = true; + } +} + +export class AgentSession { + private queue = new MessageQueue(); + private outputIterator: AsyncIterator | null = null; + + constructor() { + // Start the query immediately with the queue as input + // Cast to any - SDK accepts simpler message format at runtime + this.outputIterator = query({ + prompt: this.queue as any, + options: { + maxTurns: 100, + model: "opus", + allowedTools: [ + "Bash", + "Read", + "Write", + "Edit", + "Glob", + "Grep", + "WebSearch", + "WebFetch", + ], + systemPrompt: SYSTEM_PROMPT, + }, + })[Symbol.asyncIterator](); + } + + // Send a message to the agent + sendMessage(content: string) { + this.queue.push(content); + } + + // Get the output stream + async *getOutputStream() { + if (!this.outputIterator) { + throw new Error("Session not initialized"); + } + while (true) { + const { value, done } = await this.outputIterator.next(); + if (done) break; + yield value; + } + } + + close() { + this.queue.close(); + } +} diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/chat-store.ts b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/chat-store.ts new file mode 100644 index 000000000..1a98f926a --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/chat-store.ts @@ -0,0 +1,81 @@ +import { v4 as uuidv4 } from "uuid"; +import type { Chat, ChatMessage } from "./types.js"; + +// Simple in-memory store for chats +class ChatStore { + private chats: Map = new Map(); + private messages: Map = new Map(); + + createChat(title?: string): Chat { + const id = uuidv4(); + const now = new Date().toISOString(); + const chat: Chat = { + id, + title: title || "New Chat", + createdAt: now, + updatedAt: now, + }; + this.chats.set(id, chat); + this.messages.set(id, []); + return chat; + } + + getChat(id: string): Chat | undefined { + return this.chats.get(id); + } + + getAllChats(): Chat[] { + return Array.from(this.chats.values()).sort( + (a, b) => new Date(b.updatedAt).getTime() - new Date(a.updatedAt).getTime() + ); + } + + updateChatTitle(id: string, title: string): Chat | undefined { + const chat = this.chats.get(id); + if (chat) { + chat.title = title; + chat.updatedAt = new Date().toISOString(); + } + return chat; + } + + deleteChat(id: string): boolean { + this.messages.delete(id); + return this.chats.delete(id); + } + + addMessage(chatId: string, message: Omit): ChatMessage { + const messages = this.messages.get(chatId); + if (!messages) { + throw new Error(`Chat ${chatId} not found`); + } + + const newMessage: ChatMessage = { + id: uuidv4(), + chatId, + timestamp: new Date().toISOString(), + ...message, + }; + messages.push(newMessage); + + // Update chat's updatedAt + const chat = this.chats.get(chatId); + if (chat) { + chat.updatedAt = newMessage.timestamp; + + // Auto-generate title from first user message if still "New Chat" + if (chat.title === "New Chat" && message.role === "user") { + chat.title = message.content.slice(0, 50) + (message.content.length > 50 ? "..." : ""); + } + } + + return newMessage; + } + + getMessages(chatId: string): ChatMessage[] { + return this.messages.get(chatId) || []; + } +} + +// Singleton instance +export const chatStore = new ChatStore(); diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/server.ts b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/server.ts new file mode 100644 index 000000000..1c8106bfc --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/server.ts @@ -0,0 +1,165 @@ +import "dotenv/config"; +import express from "express"; +import cors from "cors"; +import { createServer } from "http"; +import { WebSocketServer, WebSocket } from "ws"; +import path from "path"; +import { fileURLToPath } from "url"; +import type { WSClient, IncomingWSMessage } from "./types.js"; +import { chatStore } from "./chat-store.js"; +import { Session } from "./session.js"; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +const PORT = process.env.PORT || 3001; + +// Express app +const app = express(); +app.use(cors()); +app.use(express.json()); + +// Serve static files from client directory +app.use("/client", express.static(path.join(__dirname, "../client"))); + +// Serve index.html at root +app.get("/", (req, res) => { + res.sendFile(path.join(__dirname, "../client/index.html")); +}); + +// Session management +const sessions: Map = new Map(); + +function getOrCreateSession(chatId: string): Session { + let session = sessions.get(chatId); + if (!session) { + session = new Session(chatId); + sessions.set(chatId, session); + } + return session; +} + +// REST API: Get all chats +app.get("/api/chats", (req, res) => { + const chats = chatStore.getAllChats(); + res.json(chats); +}); + +// REST API: Create new chat +app.post("/api/chats", (req, res) => { + const chat = chatStore.createChat(req.body?.title); + res.status(201).json(chat); +}); + +// REST API: Get single chat +app.get("/api/chats/:id", (req, res) => { + const chat = chatStore.getChat(req.params.id); + if (!chat) { + return res.status(404).json({ error: "Chat not found" }); + } + res.json(chat); +}); + +// REST API: Delete chat +app.delete("/api/chats/:id", (req, res) => { + const deleted = chatStore.deleteChat(req.params.id); + if (!deleted) { + return res.status(404).json({ error: "Chat not found" }); + } + const session = sessions.get(req.params.id); + if (session) { + session.close(); + sessions.delete(req.params.id); + } + res.json({ success: true }); +}); + +// REST API: Get chat messages +app.get("/api/chats/:id/messages", (req, res) => { + const messages = chatStore.getMessages(req.params.id); + res.json(messages); +}); + +// Create HTTP server +const server = createServer(app); + +// WebSocket server +const wss = new WebSocketServer({ server, path: "/ws" }); + +wss.on("connection", (ws: WSClient) => { + console.log("WebSocket client connected"); + ws.isAlive = true; + + ws.send(JSON.stringify({ type: "connected", message: "Connected to chat server" })); + + ws.on("pong", () => { + ws.isAlive = true; + }); + + ws.on("message", (data) => { + try { + const message: IncomingWSMessage = JSON.parse(data.toString()); + + switch (message.type) { + case "subscribe": { + const session = getOrCreateSession(message.chatId); + session.subscribe(ws); + console.log(`Client subscribed to chat ${message.chatId}`); + + // Send existing messages + const messages = chatStore.getMessages(message.chatId); + ws.send(JSON.stringify({ + type: "history", + messages, + chatId: message.chatId, + })); + break; + } + + case "chat": { + const session = getOrCreateSession(message.chatId); + session.subscribe(ws); + session.sendMessage(message.content); + break; + } + + default: + console.warn("Unknown message type:", (message as any).type); + } + } catch (error) { + console.error("Error handling WebSocket message:", error); + ws.send(JSON.stringify({ type: "error", error: "Invalid message format" })); + } + }); + + ws.on("close", () => { + console.log("WebSocket client disconnected"); + // Unsubscribe from all sessions + for (const session of sessions.values()) { + session.unsubscribe(ws); + } + }); +}); + +// Heartbeat to detect dead connections +const heartbeat = setInterval(() => { + wss.clients.forEach((ws) => { + const client = ws as WSClient; + if (client.isAlive === false) { + return client.terminate(); + } + client.isAlive = false; + client.ping(); + }); +}, 30000); + +wss.on("close", () => { + clearInterval(heartbeat); +}); + +// Start server +server.listen(PORT, () => { + console.log(`Server running at http://localhost:${PORT}`); + console.log(`WebSocket endpoint available at ws://localhost:${PORT}/ws`); + console.log(`Visit http://localhost:${PORT} to view the chat interface`); +}); diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/session.ts b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/session.ts new file mode 100644 index 000000000..dd0a02b45 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/session.ts @@ -0,0 +1,143 @@ +import type { WSClient } from "./types.js"; +import { AgentSession } from "./ai-client.js"; +import { chatStore } from "./chat-store.js"; + +// Session manages a single chat conversation with a long-lived agent +export class Session { + public readonly chatId: string; + private subscribers: Set = new Set(); + private agentSession: AgentSession; + private isListening = false; + + constructor(chatId: string) { + this.chatId = chatId; + this.agentSession = new AgentSession(); + } + + // Start listening to agent output (call once) + private async startListening() { + if (this.isListening) return; + this.isListening = true; + + try { + for await (const message of this.agentSession.getOutputStream()) { + this.handleSDKMessage(message); + } + } catch (error) { + console.error(`Error in session ${this.chatId}:`, error); + this.broadcastError((error as Error).message); + } + } + + // Send a user message to the agent + sendMessage(content: string) { + // Store user message + chatStore.addMessage(this.chatId, { + role: "user", + content, + }); + + // Broadcast user message to subscribers + this.broadcast({ + type: "user_message", + content, + chatId: this.chatId, + }); + + // Send to agent first (this starts the session if needed) + this.agentSession.sendMessage(content); + + // Start listening if not already + if (!this.isListening) { + this.startListening(); + } + } + + private handleSDKMessage(message: any) { + if (message.type === "assistant") { + const content = message.message.content; + + if (typeof content === "string") { + chatStore.addMessage(this.chatId, { + role: "assistant", + content, + }); + this.broadcast({ + type: "assistant_message", + content, + chatId: this.chatId, + }); + } else if (Array.isArray(content)) { + for (const block of content) { + if (block.type === "text") { + chatStore.addMessage(this.chatId, { + role: "assistant", + content: block.text, + }); + this.broadcast({ + type: "assistant_message", + content: block.text, + chatId: this.chatId, + }); + } else if (block.type === "tool_use") { + this.broadcast({ + type: "tool_use", + toolName: block.name, + toolId: block.id, + toolInput: block.input, + chatId: this.chatId, + }); + } + } + } + } else if (message.type === "result") { + this.broadcast({ + type: "result", + success: message.subtype === "success", + chatId: this.chatId, + cost: message.total_cost_usd, + duration: message.duration_ms, + }); + } + } + + subscribe(client: WSClient) { + this.subscribers.add(client); + client.sessionId = this.chatId; + } + + unsubscribe(client: WSClient) { + this.subscribers.delete(client); + } + + hasSubscribers(): boolean { + return this.subscribers.size > 0; + } + + private broadcast(message: any) { + const messageStr = JSON.stringify(message); + for (const client of this.subscribers) { + try { + if (client.readyState === client.OPEN) { + client.send(messageStr); + } + } catch (error) { + console.error("Error broadcasting to client:", error); + this.subscribers.delete(client); + } + } + } + + private broadcastError(error: string) { + this.broadcast({ + type: "error", + error, + chatId: this.chatId, + }); + } + + // Close the session + close() { + this.agentSession.close(); + } +} diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/types.ts b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/types.ts new file mode 100644 index 000000000..ca8e3d450 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/server/types.ts @@ -0,0 +1,38 @@ +import type { WebSocket } from "ws"; + +// WebSocket client with session data +export interface WSClient extends WebSocket { + sessionId?: string; + isAlive?: boolean; +} + +// Chat stored in memory +export interface Chat { + id: string; + title: string; + createdAt: string; + updatedAt: string; +} + +// Message stored in memory +export interface ChatMessage { + id: string; + chatId: string; + role: "user" | "assistant"; + content: string; + timestamp: string; +} + +// WebSocket incoming messages +export interface WSChatMessage { + type: "chat"; + content: string; + chatId: string; +} + +export interface WSSubscribeMessage { + type: "subscribe"; + chatId: string; +} + +export type IncomingWSMessage = WSChatMessage | WSSubscribeMessage; diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/tailwind.config.js b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/tailwind.config.js new file mode 100644 index 000000000..eabe9c517 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/tailwind.config.js @@ -0,0 +1,8 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: ["./client/**/*.{js,ts,jsx,tsx,html}"], + theme: { + extend: {}, + }, + plugins: [], +}; diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/tsconfig.json b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/tsconfig.json new file mode 100644 index 000000000..c08ea3b21 --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/tsconfig.json @@ -0,0 +1,16 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "ESNext", + "moduleResolution": "bundler", + "esModuleInterop": true, + "strict": true, + "skipLibCheck": true, + "jsx": "react-jsx", + "lib": ["ES2022", "DOM", "DOM.Iterable"], + "outDir": "./dist", + "rootDir": "." + }, + "include": ["**/*.ts", "**/*.tsx"], + "exclude": ["node_modules", "dist"] +} diff --git a/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/vite.config.ts b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/vite.config.ts new file mode 100644 index 000000000..4da70038c --- /dev/null +++ b/apps/ai-observability/claude-agent-sdk/typescript-simple-chatapp/vite.config.ts @@ -0,0 +1,19 @@ +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react"; + +export default defineConfig({ + plugins: [react()], + root: "client", + server: { + proxy: { + "/api": "http://localhost:3001", + "/ws": { + target: "ws://localhost:3001", + ws: true, + }, + }, + }, + build: { + outDir: "../dist", + }, +}); diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/README.md b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/README.md new file mode 100644 index 000000000..756ade6eb --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/README.md @@ -0,0 +1,38 @@ +# Financial Research Agent Example + +This example shows how you might compose a richer financial research agent using the Agents SDK. The pattern is similar to the `research_bot` example, but with more specialized sub‑agents and a verification step. + +The flow is: + +1. **Planning**: A planner agent turns the end user’s request into a list of search terms relevant to financial analysis – recent news, earnings calls, corporate filings, industry commentary, etc. +2. **Search**: A search agent uses the built‑in `WebSearchTool` to retrieve terse summaries for each search term. (You could also add `FileSearchTool` if you have indexed PDFs or 10‑Ks.) +3. **Sub‑analysts**: Additional agents (e.g. a fundamentals analyst and a risk analyst) are exposed as tools so the writer can call them inline and incorporate their outputs. +4. **Writing**: A senior writer agent brings together the search snippets and any sub‑analyst summaries into a long‑form markdown report plus a short executive summary. +5. **Verification**: A final verifier agent audits the report for obvious inconsistencies or missing sourcing. + +You can run the example with: + +```bash +python -m examples.financial_research_agent.main +``` + +and enter a query like: + +``` +Write up an analysis of Apple Inc.'s most recent quarter. +``` + +### Starter prompt + +The writer agent is seeded with instructions similar to: + +``` +You are a senior financial analyst. You will be provided with the original query +and a set of raw search summaries. Your job is to synthesize these into a +long‑form markdown report (at least several paragraphs) with a short executive +summary. You also have access to tools like `fundamentals_analysis` and +`risk_analysis` to get short specialist write‑ups if you want to incorporate them. +Add a few follow‑up questions for further research. +``` + +You can tweak these prompts and sub‑agents to suit your own data sources and preferred report structure. diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/__init__.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/__init__.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/financials_agent.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/financials_agent.py new file mode 100644 index 000000000..953531f28 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/financials_agent.py @@ -0,0 +1,23 @@ +from pydantic import BaseModel + +from agents import Agent + +# A sub‑agent focused on analyzing a company's fundamentals. +FINANCIALS_PROMPT = ( + "You are a financial analyst focused on company fundamentals such as revenue, " + "profit, margins and growth trajectory. Given a collection of web (and optional file) " + "search results about a company, write a concise analysis of its recent financial " + "performance. Pull out key metrics or quotes. Keep it under 2 paragraphs." +) + + +class AnalysisSummary(BaseModel): + summary: str + """Short text summary for this aspect of the analysis.""" + + +financials_agent = Agent( + name="FundamentalsAnalystAgent", + instructions=FINANCIALS_PROMPT, + output_type=AnalysisSummary, +) diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/planner_agent.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/planner_agent.py new file mode 100644 index 000000000..14aaa0b10 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/planner_agent.py @@ -0,0 +1,35 @@ +from pydantic import BaseModel + +from agents import Agent + +# Generate a plan of searches to ground the financial analysis. +# For a given financial question or company, we want to search for +# recent news, official filings, analyst commentary, and other +# relevant background. +PROMPT = ( + "You are a financial research planner. Given a request for financial analysis, " + "produce a set of web searches to gather the context needed. Aim for recent " + "headlines, earnings calls or 10‑K snippets, analyst commentary, and industry background. " + "Output between 5 and 15 search terms to query for." +) + + +class FinancialSearchItem(BaseModel): + reason: str + """Your reasoning for why this search is relevant.""" + + query: str + """The search term to feed into a web (or file) search.""" + + +class FinancialSearchPlan(BaseModel): + searches: list[FinancialSearchItem] + """A list of searches to perform.""" + + +planner_agent = Agent( + name="FinancialPlannerAgent", + instructions=PROMPT, + model="o3-mini", + output_type=FinancialSearchPlan, +) diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/risk_agent.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/risk_agent.py new file mode 100644 index 000000000..e24deb4e0 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/risk_agent.py @@ -0,0 +1,22 @@ +from pydantic import BaseModel + +from agents import Agent + +# A sub‑agent specializing in identifying risk factors or concerns. +RISK_PROMPT = ( + "You are a risk analyst looking for potential red flags in a company's outlook. " + "Given background research, produce a short analysis of risks such as competitive threats, " + "regulatory issues, supply chain problems, or slowing growth. Keep it under 2 paragraphs." +) + + +class AnalysisSummary(BaseModel): + summary: str + """Short text summary for this aspect of the analysis.""" + + +risk_agent = Agent( + name="RiskAnalystAgent", + instructions=RISK_PROMPT, + output_type=AnalysisSummary, +) diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/search_agent.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/search_agent.py new file mode 100644 index 000000000..aee37d048 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/search_agent.py @@ -0,0 +1,27 @@ +from pydantic import BaseModel + +from agents import Agent, ModelSettings, WebSearchTool + +# Given a search term, use web search to pull back a brief summary. +# Summaries should be concise but capture the main financial points. +INSTRUCTIONS = ( + "You are a research assistant specializing in financial topics. " + "Given a search term, use web search to retrieve up‑to‑date context and " + "produce a short summary of at most 300 words. Focus on key numbers, events, " + "or quotes that will be useful to a financial analyst." +) + + +class FinancialSearchSummary(BaseModel): + summary: str + """A concise summary of the search findings.""" + + +search_agent = Agent( + name="FinancialSearchAgent", + model="gpt-5.6-sol", + instructions=INSTRUCTIONS, + tools=[WebSearchTool()], + model_settings=ModelSettings(response_include=["web_search_call.action.sources"]), + output_type=FinancialSearchSummary, +) diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/verifier_agent.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/verifier_agent.py new file mode 100644 index 000000000..46f59be77 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/verifier_agent.py @@ -0,0 +1,48 @@ +from typing import Literal + +from pydantic import BaseModel + +from agents import Agent + +# Agent to sanity‑check a synthesized report for consistency and recall. +# This can be used to flag potential gaps or obvious mistakes. +VERIFIER_PROMPT = ( + "You are a meticulous evidence auditor. You will receive an original request, an explicit " + "research cutoff date, a financial report, and structured web research evidence with source " + "URLs. Judge the report only against that supplied evidence; do not reject or approve claims " + "based on your own memory. Check that material numeric and time-sensitive claims are supported " + "by the evidence, that citations use supplied URLs, that the report is internally consistent, " + "and that uncertainty is appropriately caveated. Treat information published on or before the " + "research cutoff as potentially available. Mark unsupported claims separately from claims that " + "the evidence directly contradicts." +) + + +class VerificationIssue(BaseModel): + claim: str + """The report claim that needs attention.""" + + category: Literal["unsupported", "contradicted", "stale_or_unreleased", "other"] + """The evidence problem associated with the claim.""" + + explanation: str + """Why the evidence does not support the claim.""" + + source_urls: list[str] + """Relevant supplied source URLs, if any.""" + + +class VerificationResult(BaseModel): + verified: bool + """Whether the report is coherent and supported by the supplied evidence.""" + + issues: list[VerificationIssue] + """Evidence-based issues that must be corrected before publication.""" + + +verifier_agent = Agent( + name="VerificationAgent", + instructions=VERIFIER_PROMPT, + model="gpt-5.6-sol", + output_type=VerificationResult, +) diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/writer_agent.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/writer_agent.py new file mode 100644 index 000000000..0db7295a7 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/agents/writer_agent.py @@ -0,0 +1,42 @@ +from pydantic import BaseModel + +from agents import Agent + +# Writer agent brings together the raw search results and optionally calls out +# to sub‑analyst tools for specialized commentary, then returns a cohesive markdown report. +WRITER_PROMPT = ( + "You are a senior financial analyst. You will be provided with the original query and " + "a set of raw search summaries. Your task is to synthesize these into a long‑form markdown " + "report (at least several paragraphs) including a short executive summary and follow‑up " + "questions. If needed, you can call the available analysis tools (e.g. fundamentals_analysis, " + "risk_analysis) to get short specialist write‑ups to incorporate. Every material numeric or " + "time-sensitive claim must include an inline Markdown citation using a URL supplied in the " + "research evidence. Never invent or alter a source URL." +) + +REVISION_PROMPT = ( + f"{WRITER_PROMPT} You are revising an existing report after evidence verification. Address " + "every verification issue, remove claims that cannot be supported, preserve valid analysis, " + "and return a complete replacement report rather than a patch or commentary." +) + + +class FinancialReportData(BaseModel): + short_summary: str + """A short 2‑3 sentence executive summary.""" + + markdown_report: str + """The full markdown report.""" + + follow_up_questions: list[str] + """Suggested follow‑up questions for further research.""" + + +# Note: We will attach handoffs to specialist analyst agents at runtime in the manager. +# This shows how an agent can use handoffs to delegate to specialized subagents. +writer_agent = Agent( + name="FinancialWriterAgent", + instructions=WRITER_PROMPT, + model="gpt-5.6-sol", + output_type=FinancialReportData, +) diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/main.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/main.py new file mode 100644 index 000000000..e490b0b1d --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/main.py @@ -0,0 +1,23 @@ +import asyncio + +from examples.auto_mode import input_with_fallback + +from .manager import FinancialResearchManager + + +# Entrypoint for the financial bot example. +# Run this as `python -m examples.financial_research_agent.main` and enter a +# financial research query, for example: +# "Write up an analysis of Apple Inc.'s most recent quarter." +async def main() -> None: + query = input_with_fallback( + "Enter a financial research query: ", + "Write a short analysis of Apple's long-term revenue drivers and key risks. " + "Avoid making claims about unreleased quarterly results.", + ) + mgr = FinancialResearchManager() + await mgr.run(query) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/manager.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/manager.py new file mode 100644 index 000000000..4ac0ad584 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/manager.py @@ -0,0 +1,265 @@ +from __future__ import annotations + +import asyncio +import json +import time +from collections.abc import Sequence +from datetime import datetime, timezone + +from pydantic import BaseModel +from rich.console import Console + +from agents import Runner, RunResult, RunResultStreaming, custom_span, gen_trace_id, trace +from examples.web_search_utils import extract_url_citations, extract_web_search_source_urls + +from .agents.financials_agent import financials_agent +from .agents.planner_agent import FinancialSearchItem, FinancialSearchPlan, planner_agent +from .agents.risk_agent import risk_agent +from .agents.search_agent import FinancialSearchSummary, search_agent +from .agents.verifier_agent import VerificationResult, verifier_agent +from .agents.writer_agent import REVISION_PROMPT, FinancialReportData, writer_agent +from .printer import Printer + + +class FinancialSource(BaseModel): + title: str + url: str + + +class FinancialSearchEvidence(BaseModel): + query: str + reason: str + summary: str + sources: list[FinancialSource] + retrieved_at: str + + +def _extract_financial_sources(items: Sequence[object]) -> list[FinancialSource]: + sources: list[FinancialSource] = [] + seen: set[str] = set() + + for citation in extract_url_citations(items): + if citation.url in seen: + continue + seen.add(citation.url) + sources.append(FinancialSource(title=citation.title, url=citation.url)) + + for url in extract_web_search_source_urls(items): + if url in seen: + continue + seen.add(url) + sources.append(FinancialSource(title=url, url=url)) + + return sources + + +async def _summary_extractor(run_result: RunResult | RunResultStreaming) -> str: + """Custom output extractor for sub‑agents that return an AnalysisSummary.""" + # The financial/risk analyst agents emit an AnalysisSummary with a `summary` field. + # We want the tool call to return just that summary text so the writer can drop it inline. + return str(run_result.final_output.summary) + + +class FinancialResearchManager: + """ + Orchestrates the full flow: planning, searching, sub‑analysis, writing, and verification. + """ + + def __init__(self) -> None: + self.console = Console() + self.printer = Printer(self.console) + self.research_cutoff = datetime.now(timezone.utc).date().isoformat() + + async def run(self, query: str) -> None: + trace_id = gen_trace_id() + try: + with trace("Financial research trace", trace_id=trace_id): + self.printer.update_item( + "trace_id", + f"View trace: https://platform.openai.com/traces/trace?trace_id={trace_id}", + is_done=True, + hide_checkmark=True, + ) + self.printer.update_item("start", "Starting financial research...", is_done=True) + search_plan = await self._plan_searches(query) + search_results = await self._perform_searches(search_plan) + report, verification = await self._produce_verified_report(query, search_results) + + final_report = f"Report summary\n\n{report.short_summary}" + self.printer.update_item("final_report", final_report, is_done=True) + finally: + self.printer.end() + + # Print to stdout + print("\n\n=====REPORT=====\n\n") + print(f"Report:\n{report.markdown_report}") + print("\n\n=====FOLLOW UP QUESTIONS=====\n\n") + print("\n".join(report.follow_up_questions)) + print("\n\n=====VERIFICATION=====\n\n") + print(verification) + + async def _produce_verified_report( + self, + query: str, + search_results: Sequence[FinancialSearchEvidence], + ) -> tuple[FinancialReportData, VerificationResult]: + report = await self._write_report(query, search_results) + verification = await self._verify_report(query, report, search_results) + if verification.verified: + return report, verification + + report = await self._revise_report(query, report, search_results, verification) + verification = await self._verify_report(query, report, search_results) + if not verification.verified: + raise RuntimeError( + "Financial report failed evidence verification after one revision: " + f"{verification.model_dump_json()}" + ) + return report, verification + + async def _plan_searches(self, query: str) -> FinancialSearchPlan: + self.printer.update_item("planning", "Planning searches...") + result = await Runner.run(planner_agent, f"Query: {query}") + self.printer.update_item( + "planning", + f"Will perform {len(result.final_output.searches)} searches", + is_done=True, + ) + return result.final_output_as(FinancialSearchPlan) + + async def _perform_searches( + self, search_plan: FinancialSearchPlan + ) -> Sequence[FinancialSearchEvidence]: + with custom_span("Search the web"): + self.printer.update_item("searching", "Searching...") + tasks = [asyncio.create_task(self._search(item)) for item in search_plan.searches] + results: list[FinancialSearchEvidence] = [] + num_completed = 0 + num_succeeded = 0 + num_failed = 0 + for task in asyncio.as_completed(tasks): + result = await task + if result is not None: + results.append(result) + num_succeeded += 1 + else: + num_failed += 1 + num_completed += 1 + status = f"Searching... {num_completed}/{len(tasks)} finished" + if num_failed: + status += f" ({num_succeeded} succeeded, {num_failed} failed)" + self.printer.update_item( + "searching", + status, + ) + summary = f"Searches finished: {num_succeeded}/{len(tasks)} succeeded" + if num_failed: + summary += f", {num_failed} failed" + self.printer.update_item("searching", summary, is_done=True) + return results + + async def _search(self, item: FinancialSearchItem) -> FinancialSearchEvidence | None: + input_data = f"Search term: {item.query}\nReason: {item.reason}" + try: + result = await Runner.run(search_agent, input_data) + search_summary = result.final_output_as(FinancialSearchSummary) + sources = _extract_financial_sources(result.new_items) + if not sources: + return None + return FinancialSearchEvidence( + query=item.query, + reason=item.reason, + summary=search_summary.summary, + sources=sources, + retrieved_at=self.research_cutoff, + ) + except Exception: + return None + + async def _write_report( + self, + query: str, + search_results: Sequence[FinancialSearchEvidence], + ) -> FinancialReportData: + # Expose the specialist analysts as tools so the writer can invoke them inline + # and still produce the final FinancialReportData output. + fundamentals_tool = financials_agent.as_tool( + tool_name="fundamentals_analysis", + tool_description="Use to get a short write‑up of key financial metrics", + custom_output_extractor=_summary_extractor, + ) + risk_tool = risk_agent.as_tool( + tool_name="risk_analysis", + tool_description="Use to get a short write‑up of potential red flags", + custom_output_extractor=_summary_extractor, + ) + writer_with_tools = writer_agent.clone(tools=[fundamentals_tool, risk_tool]) + self.printer.update_item("writing", "Thinking about report...") + input_data = self._report_input(query, search_results) + result = Runner.run_streamed(writer_with_tools, input_data) + update_messages = [ + "Planning report structure...", + "Writing sections...", + "Finalizing report...", + ] + last_update = time.time() + next_message = 0 + async for _ in result.stream_events(): + if time.time() - last_update > 5 and next_message < len(update_messages): + self.printer.update_item("writing", update_messages[next_message]) + next_message += 1 + last_update = time.time() + self.printer.mark_item_done("writing") + return result.final_output_as(FinancialReportData) + + async def _revise_report( + self, + query: str, + report: FinancialReportData, + search_results: Sequence[FinancialSearchEvidence], + verification: VerificationResult, + ) -> FinancialReportData: + self.printer.update_item("revising", "Revising report from verification feedback...") + revision_agent = writer_agent.clone(instructions=REVISION_PROMPT) + input_data = ( + f"{self._report_input(query, search_results)}\n" + f"Existing report:\n{report.model_dump_json()}\n" + f"Verification feedback:\n{verification.model_dump_json()}" + ) + result = await Runner.run(revision_agent, input_data) + self.printer.mark_item_done("revising") + return result.final_output_as(FinancialReportData) + + async def _verify_report( + self, + query: str, + report: FinancialReportData, + search_results: Sequence[FinancialSearchEvidence], + ) -> VerificationResult: + self.printer.update_item("verifying", "Verifying report...") + input_data = json.dumps( + { + "original_query": query, + "research_cutoff": self.research_cutoff, + "report": report.model_dump(mode="json"), + "evidence": [item.model_dump(mode="json") for item in search_results], + }, + ensure_ascii=False, + ) + result = await Runner.run(verifier_agent, input_data) + self.printer.mark_item_done("verifying") + return result.final_output_as(VerificationResult) + + def _report_input( + self, + query: str, + search_results: Sequence[FinancialSearchEvidence], + ) -> str: + return json.dumps( + { + "original_query": query, + "research_cutoff": self.research_cutoff, + "evidence": [item.model_dump(mode="json") for item in search_results], + }, + ensure_ascii=False, + ) diff --git a/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/printer.py b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/printer.py new file mode 100644 index 000000000..4c1a4944d --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/python-financial-research-agent/printer.py @@ -0,0 +1,46 @@ +from typing import Any + +from rich.console import Console, Group +from rich.live import Live +from rich.spinner import Spinner + + +class Printer: + """ + Simple wrapper to stream status updates. Used by the financial bot + manager as it orchestrates planning, search and writing. + """ + + def __init__(self, console: Console) -> None: + self.live = Live(console=console) + self.items: dict[str, tuple[str, bool]] = {} + self.hide_done_ids: set[str] = set() + self.live.start() + + def end(self) -> None: + self.live.stop() + + def hide_done_checkmark(self, item_id: str) -> None: + self.hide_done_ids.add(item_id) + + def update_item( + self, item_id: str, content: str, is_done: bool = False, hide_checkmark: bool = False + ) -> None: + self.items[item_id] = (content, is_done) + if hide_checkmark: + self.hide_done_ids.add(item_id) + self.flush() + + def mark_item_done(self, item_id: str) -> None: + self.items[item_id] = (self.items[item_id][0], True) + self.flush() + + def flush(self) -> None: + renderables: list[Any] = [] + for item_id, (content, is_done) in self.items.items(): + if is_done: + prefix = "✅ " if item_id not in self.hide_done_ids else "" + renderables.append(prefix + content) + else: + renderables.append(Spinner("dots", text=content)) + self.live.update(Group(*renderables)) diff --git a/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/README.md b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/README.md new file mode 100644 index 000000000..69ba7a3e0 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/README.md @@ -0,0 +1,20 @@ +# Financial Research Agent + +This example demonstrates a multi-agent workflow that produces a short financial analysis report. + +The entrypoint in `main.ts` prompts for a query, then traces the run and hands control to `FinancialResearchManager`. + +The manager orchestrates several specialized agents: + +1. **Planner** – creates a list of search tasks for the query. +2. **Search** – runs each search in parallel and gathers summaries. +3. **Writer** – synthesizes the search results, optionally calling fundamentals and risk analyst tools. +4. **Verifier** – checks the final report for consistency and issues. + +After running these steps the manager prints a short summary, the full markdown report, suggested follow-up questions, and verification results. + +Run the example with: + +```bash +pnpm examples:financial-research-agent +``` diff --git a/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/agents.ts b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/agents.ts new file mode 100644 index 000000000..1e29460b0 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/agents.ts @@ -0,0 +1,124 @@ +import { Agent, webSearchTool } from '@openai/agents'; +import { z } from 'zod'; + +// --- Fundamentals Analyst Agent --- +export const financialsPrompt = `You are a financial analyst focused on company fundamentals such as revenue, profit, margins and growth trajectory. +Given a collection of web (and optional file) search results about a company, write a concise analysis of its recent financial performance. +Pull out key metrics or quotes. Keep it under 2 paragraphs.`; + +export const AnalysisSummary = z.object({ + summary: z + .string() + .describe('Short text summary for this aspect of the analysis.'), +}); + +export const financialsAgent = new Agent({ + name: 'FundamentalsAnalystAgent', + instructions: financialsPrompt, + outputType: AnalysisSummary, +}); + +// --- Financial Research Planner Agent --- +export const plannerPrompt = `You are a financial research planner. +Given a request for financial analysis, produce a set of web searches to gather the context needed. +Aim for recent headlines, earnings calls or 10-K snippets, analyst commentary, and industry background. +Prioritize official investor-relations releases and SEC filings for reported results. +Output between 5 and 15 search terms to query for.`; + +export const FinancialSearchItem = z.object({ + reason: z + .string() + .describe('Your reasoning for why this search is relevant.'), + query: z + .string() + .describe('The search term to feed into a web (or file) search.'), +}); + +export type FinancialSearchItem = z.infer; + +export const FinancialSearchPlan = z.object({ + searches: z + .array(FinancialSearchItem) + .describe('A list of searches to perform.'), +}); + +export type FinancialSearchPlan = z.infer; + +export const plannerAgent = new Agent({ + name: 'FinancialPlannerAgent', + instructions: plannerPrompt, + model: 'gpt-5.4', + outputType: FinancialSearchPlan, +}); + +// --- Risk Analyst Agent --- +export const riskPrompt = `You are a risk analyst looking for potential red flags in a company's outlook. +Given background research, produce a short analysis of risks such as competitive threats, regulatory issues, supply chain problems, or slowing growth. +Keep it under 2 paragraphs.`; + +export const riskAgent = new Agent({ + name: 'RiskAnalystAgent', + instructions: riskPrompt, + outputType: AnalysisSummary, +}); + +// --- Financial Search Agent --- +export const searchAgentPrompt = `You are a research assistant specializing in financial topics. +Given a search term, use web search to retrieve up-to-date context and produce a short summary of at most 300 words. +Focus on key numbers, events, or quotes that will be useful to a financial analyst. +Prefer primary sources and include source names and URLs for the facts you summarize. Never fabricate a URL.`; + +export const searchAgent = new Agent({ + name: 'FinancialSearchAgent', + instructions: searchAgentPrompt, + model: 'gpt-5.4', + tools: [webSearchTool()], +}); + +// --- Verification Agent --- +export const verifierPrompt = `You are a meticulous auditor. You will receive a financial analysis report and the source summaries used to write it. +Verify the report against those source summaries rather than relying on prior knowledge. +Do not reject newer information merely because it is unfamiliar, but reject claims that are unsupported, internally inconsistent, or missing clear sourcing. +When the report is verified, return an empty issues string. Otherwise, point out the specific issues or uncertainties.`; + +export const VerificationResult = z.object({ + verified: z + .boolean() + .describe('Whether the report seems coherent and plausible.'), + issues: z + .string() + .describe('If not verified, describe the main issues or concerns.'), +}); + +export type VerificationResult = z.infer; + +export const verifierAgent = new Agent({ + name: 'VerificationAgent', + instructions: verifierPrompt, + model: 'gpt-5.4', + outputType: VerificationResult, +}); + +// --- Financial Writer Agent --- +export const writerPrompt = `You are a senior financial analyst. +You will be provided with the original query and a set of raw search summaries. +Your task is to synthesize these into a long-form markdown report (at least several paragraphs) including a short executive summary and follow-up questions. +Use only facts supported by the supplied summaries, preserve their source URLs as inline Markdown citations, and clearly label uncertainty or conflicting information. +If needed, you can call the available analysis tools (e.g. fundamentals_analysis, risk_analysis) to get short specialist write-ups to incorporate.`; + +export const FinancialReportData = z.object({ + short_summary: z.string().describe('A short 2-3 sentence executive summary.'), + markdown_report: z.string().describe('The full markdown report.'), + follow_up_questions: z + .array(z.string()) + .describe('Suggested follow-up questions for further research.'), +}); + +export type FinancialReportData = z.infer; + +export const writerAgent = new Agent({ + name: 'FinancialWriterAgent', + instructions: writerPrompt, + model: 'gpt-5.4', + outputType: FinancialReportData, +}); diff --git a/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/main.ts b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/main.ts new file mode 100644 index 000000000..e8cd8de04 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/main.ts @@ -0,0 +1,26 @@ +import { withTrace } from '@openai/agents'; +import { FinancialResearchManager } from './manager'; + +// Entrypoint for the financial bot example. +// Run this as `npx tsx examples/financial-research-agent/main.ts` and enter a financial research query, for example: +// "Write up an analysis of Apple Inc.'s most recent quarter." + +async function main() { + const readline = await import('readline'); + const rl = readline.createInterface({ + input: process.stdin, + output: process.stdout, + }); + rl.question('Enter a financial research query: ', async (query: string) => { + rl.close(); + await withTrace('Financial research workflow', async () => { + const manager = new FinancialResearchManager(); + await manager.run(query); + }); + }); +} + +main().catch((error) => { + console.error(error); + process.exit(1); +}); diff --git a/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/manager.ts b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/manager.ts new file mode 100644 index 000000000..8f804c1a0 --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/manager.ts @@ -0,0 +1,117 @@ +import { Agent, run, RunResult } from '@openai/agents'; +import { financialsAgent } from './agents'; +import { + plannerAgent, + FinancialSearchItem, + FinancialSearchPlan, +} from './agents'; +import { riskAgent } from './agents'; +import { searchAgent } from './agents'; +import { verifierAgent, VerificationResult } from './agents'; +import { writerAgent, FinancialReportData } from './agents'; + +function formatSearchResults(searchResults: string[]): string { + return searchResults + .map((result, index) => `Source summary ${index + 1}:\n${result}`) + .join('\n\n'); +} + +// Custom output extractor for sub-agents that return an AnalysisSummary +async function summaryExtractor( + runResult: RunResult>, +): Promise { + return String(runResult.finalOutput.summary); +} + +export class FinancialResearchManager { + async run(query: string): Promise { + console.log(`[start] Starting financial research...`); + const searchPlan = await this.planSearches(query); + const searchResults = await this.performSearches(searchPlan); + const report = await this.writeReport(query, searchResults); + const verification = await this.verifyReport(report, searchResults); + const finalReport = `Report summary\n\n${report.short_summary}`; + console.log(finalReport); + console.log('\n\n=====REPORT=====\n\n'); + console.log(`Report:\n${report.markdown_report}`); + console.log('\n\n=====FOLLOW UP QUESTIONS=====\n\n'); + console.log(report.follow_up_questions.join('\n')); + console.log('\n\n=====VERIFICATION=====\n\n'); + console.log(verification); + } + + async planSearches(query: string): Promise { + console.log(`[planning] Planning searches...`); + const result = await run(plannerAgent, `Query: ${query}`); + console.log( + `[planning] Will perform ${result.finalOutput?.searches.length} searches`, + ); + return result.finalOutput!; + } + + async performSearches(searchPlan: FinancialSearchPlan): Promise { + // Run all searches in parallel and log progress as each completes + console.log(`[searching] Searching...`); + let numCompleted = 0; + const results: (string | null)[] = new Array(searchPlan.searches.length); + await Promise.all( + searchPlan.searches.map(async (item, i) => { + const result = await this.search(item); + results[i] = result; + numCompleted++; + console.log( + `[searching] Searching... ${numCompleted}/${searchPlan.searches.length} completed`, + ); + }), + ); + console.log(`[searching] Done searching.`); + // Filter out nulls and preserve order + return results.filter((r): r is string => r !== null); + } + + async search(item: FinancialSearchItem): Promise { + const inputData = `Search term: ${item.query}\nReason: ${item.reason}`; + try { + const result = await run(searchAgent, inputData); + return String(result.finalOutput); + } catch { + return null; + } + } + + async writeReport( + query: string, + searchResults: string[], + ): Promise { + // Expose the specialist analysts as tools + const fundamentalsTool = financialsAgent.asTool({ + toolName: 'fundamentals_analysis', + toolDescription: 'Use to get a short write-up of key financial metrics', + customOutputExtractor: summaryExtractor, + }); + const riskTool = riskAgent.asTool({ + toolName: 'risk_analysis', + toolDescription: 'Use to get a short write-up of potential red flags', + customOutputExtractor: summaryExtractor, + }); + const writerWithTools = writerAgent.clone({ + tools: [fundamentalsTool, riskTool], + }); + console.log(`[writing] Thinking about report...`); + const inputData = `Original query: ${query}\n\n${formatSearchResults(searchResults)}`; + const result = await run(writerWithTools, inputData); + console.log(`[writing] Done writing report.`); + return result.finalOutput!; + } + + async verifyReport( + report: FinancialReportData, + searchResults: string[], + ): Promise { + console.log(`[verifying] Verifying report...`); + const inputData = `Report:\n${report.markdown_report}\n\nSource summaries:\n${formatSearchResults(searchResults)}`; + const result = await run(verifierAgent, inputData); + console.log(`[verifying] Done verifying report.`); + return result.finalOutput!; + } +} diff --git a/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/package.json b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/package.json new file mode 100644 index 000000000..51d2e567b --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/package.json @@ -0,0 +1,12 @@ +{ + "private": true, + "name": "financial-research-agent", + "dependencies": { + "@openai/agents": "workspace:*", + "zod": "^4.0.0" + }, + "scripts": { + "build-check": "tsc --noEmit", + "start": "tsx main.ts" + } +} diff --git a/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/tsconfig.json b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/tsconfig.json new file mode 100644 index 000000000..150a0961f --- /dev/null +++ b/apps/ai-observability/open-ai-agents-sdk/typescript-financial-research-agent/tsconfig.json @@ -0,0 +1,3 @@ +{ + "extends": "../../tsconfig.examples.json" +} diff --git a/apps/ai-observability/vercel-ai/next-agent/.gitignore b/apps/ai-observability/vercel-ai/next-agent/.gitignore new file mode 100644 index 000000000..d3ff89366 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/.gitignore @@ -0,0 +1,41 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts + +# persistence +.chats +.streams +.env.local.example +.env.local diff --git a/apps/ai-observability/vercel-ai/next-agent/README.md b/apps/ai-observability/vercel-ai/next-agent/README.md new file mode 100644 index 000000000..99b14d08f --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/README.md @@ -0,0 +1 @@ +A minimal example to show code modularization with agents, tools, and components. diff --git a/apps/ai-observability/vercel-ai/next-agent/agent/weather-agent.ts b/apps/ai-observability/vercel-ai/next-agent/agent/weather-agent.ts new file mode 100644 index 000000000..b20b974e3 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/agent/weather-agent.ts @@ -0,0 +1,16 @@ +import { weatherTool } from '@/tool/weather-tool'; +import { openai } from '@ai-sdk/openai'; +import { ToolLoopAgent, type InferAgentUIMessage } from 'ai'; +export const weatherAgent = new ToolLoopAgent({ + model: openai('gpt-4o'), + instructions: 'You are a helpful assistant.', + tools: { + weather: weatherTool, + }, + experimental_telemetry: { + isEnabled: true, + functionId: 'weather-agent', + }, +}); + +export type WeatherAgentUIMessage = InferAgentUIMessage; diff --git a/apps/ai-observability/vercel-ai/next-agent/app/api/chat/route.ts b/apps/ai-observability/vercel-ai/next-agent/app/api/chat/route.ts new file mode 100644 index 000000000..990b9112f --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/app/api/chat/route.ts @@ -0,0 +1,11 @@ +import { weatherAgent } from '@/agent/weather-agent'; +import { createAgentUIStreamResponse } from 'ai'; + +export async function POST(request: Request) { + const { messages } = await request.json(); + + return createAgentUIStreamResponse({ + agent: weatherAgent, + uiMessages: messages, + }); +} diff --git a/apps/ai-observability/vercel-ai/next-agent/app/favicon.ico b/apps/ai-observability/vercel-ai/next-agent/app/favicon.ico new file mode 100644 index 000000000..718d6fea4 Binary files /dev/null and b/apps/ai-observability/vercel-ai/next-agent/app/favicon.ico differ diff --git a/apps/ai-observability/vercel-ai/next-agent/app/globals.css b/apps/ai-observability/vercel-ai/next-agent/app/globals.css new file mode 100644 index 000000000..b5c61c956 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/app/globals.css @@ -0,0 +1,3 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; diff --git a/apps/ai-observability/vercel-ai/next-agent/app/layout.tsx b/apps/ai-observability/vercel-ai/next-agent/app/layout.tsx new file mode 100644 index 000000000..d29a5479c --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/app/layout.tsx @@ -0,0 +1,18 @@ +import './globals.css'; + +export const metadata = { + title: 'AI SDK - Next.js OpenAI Examples', + description: 'Examples of using the AI SDK with Next.js and OpenAI.', +}; + +export default function RootLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( + + {children} + + ); +} diff --git a/apps/ai-observability/vercel-ai/next-agent/app/page.tsx b/apps/ai-observability/vercel-ai/next-agent/app/page.tsx new file mode 100644 index 000000000..b2903418b --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/app/page.tsx @@ -0,0 +1,40 @@ +'use client'; + +import { useChat } from '@ai-sdk/react'; +import ChatInput from '@/component/chat-input'; +import type { WeatherAgentUIMessage } from '@/agent/weather-agent'; +import WeatherView from '@/component/weather-view'; + +export default function Chat() { + const { status, sendMessage, messages } = useChat(); + + return ( +
+ {messages?.map(message => ( +
+ {`${message.role}: `} + {message.parts.map((part, index) => { + switch (part.type) { + case 'text': + return
{part.text}
; + + case 'step-start': + return index > 0 ? ( +
+
+
+ ) : null; + + case 'tool-weather': { + return ; + } + } + })} +
+
+ ))} + + sendMessage({ text })} /> +
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next-agent/component/chat-input.tsx b/apps/ai-observability/vercel-ai/next-agent/component/chat-input.tsx new file mode 100644 index 000000000..7d374c3bf --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/component/chat-input.tsx @@ -0,0 +1,41 @@ +import { useState } from 'react'; + +export default function ChatInput({ + status, + onSubmit, + stop, +}: { + status: string; + onSubmit: (text: string) => void; + stop?: () => void; +}) { + const [text, setText] = useState(''); + + return ( +
{ + e.preventDefault(); + if (text.trim() === '') return; + onSubmit(text); + setText(''); + }} + > + setText(e.target.value)} + /> + {stop && (status === 'streaming' || status === 'submitted') && ( + + )} +
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next-agent/component/weather-view.tsx b/apps/ai-observability/vercel-ai/next-agent/component/weather-view.tsx new file mode 100644 index 000000000..c6646da95 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/component/weather-view.tsx @@ -0,0 +1,29 @@ +import type { WeatherUIToolInvocation } from '@/tool/weather-tool'; + +export default function WeatherView({ + invocation, +}: { + invocation: WeatherUIToolInvocation; +}) { + switch (invocation.state) { + // example of pre-rendering streaming tool calls: + case 'input-streaming': + return 
{JSON.stringify(invocation.input, null, 2)}
; + case 'input-available': + return ( +
+ Getting weather information for {invocation.input.city}... +
+ ); + case 'output-available': + return ( +
+ {invocation.output.state === 'loading' + ? 'Fetching weather information...' + : `Weather in ${invocation.input.city}: ${invocation.output.weather}`} +
+ ); + case 'output-error': + return
Error: {invocation.errorText}
; + } +} diff --git a/apps/ai-observability/vercel-ai/next-agent/instrumentation.ts b/apps/ai-observability/vercel-ai/next-agent/instrumentation.ts new file mode 100644 index 000000000..767f803cf --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/instrumentation.ts @@ -0,0 +1,19 @@ +import { NodeSDK } from '@opentelemetry/sdk-node'; +import { resourceFromAttributes } from '@opentelemetry/resources'; +import { PostHogSpanProcessor } from '@posthog/ai/otel'; + +export function register() { + const sdk = new NodeSDK({ + resource: resourceFromAttributes({ + 'service.name': 'next-agent', + }), + spanProcessors: [ + new PostHogSpanProcessor({ + apiKey: process.env.POSTHOG_API_KEY!, + host: process.env.POSTHOG_HOST!, + }), + ], + }); + + sdk.start(); +} diff --git a/apps/ai-observability/vercel-ai/next-agent/package.json b/apps/ai-observability/vercel-ai/next-agent/package.json new file mode 100644 index 000000000..efe2cc283 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/package.json @@ -0,0 +1,35 @@ +{ + "name": "@example/next-agent", + "version": "0.0.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "@ai-sdk/openai": "workspace:*", + "@ai-sdk/react": "workspace:*", + "@opentelemetry/resources": "^1.30.1", + "@opentelemetry/sdk-node": "^0.57.2", + "@posthog/ai": "^0.3.0", + "@vercel/blob": "^0.26.0", + "ai": "workspace:*", + "next": "^15.5.18", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "react-markdown": "9.0.1", + "resumable-stream": "^2.2.12", + "zod": "3.25.76" + }, + "devDependencies": { + "@types/node": "22.19.19", + "@types/react": "^18.3.28", + "@types/react-dom": "^18.3.7", + "autoprefixer": "^10.5.0", + "postcss": "^8.5.14", + "tailwindcss": "^3.4.19", + "typescript": "5.8.3" + } +} diff --git a/apps/ai-observability/vercel-ai/next-agent/postcss.config.js b/apps/ai-observability/vercel-ai/next-agent/postcss.config.js new file mode 100644 index 000000000..12a703d90 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/apps/ai-observability/vercel-ai/next-agent/tailwind.config.js b/apps/ai-observability/vercel-ai/next-agent/tailwind.config.js new file mode 100644 index 000000000..db68cff57 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/tailwind.config.js @@ -0,0 +1,18 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + content: [ + './pages/**/*.{js,ts,jsx,tsx,mdx}', + './components/**/*.{js,ts,jsx,tsx,mdx}', + './app/**/*.{js,ts,jsx,tsx,mdx}', + ], + theme: { + extend: { + backgroundImage: { + 'gradient-radial': 'radial-gradient(var(--tw-gradient-stops))', + 'gradient-conic': + 'conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))', + }, + }, + }, + plugins: [], +}; diff --git a/apps/ai-observability/vercel-ai/next-agent/tool/weather-tool.ts b/apps/ai-observability/vercel-ai/next-agent/tool/weather-tool.ts new file mode 100644 index 000000000..39fb819c8 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/tool/weather-tool.ts @@ -0,0 +1,25 @@ +import { tool, type UIToolInvocation } from 'ai'; +import { z } from 'zod'; + +export const weatherTool = tool({ + description: 'Get the weather in a location', + inputSchema: z.object({ city: z.string() }), + async *execute({ city }: { city: string }) { + yield { state: 'loading' as const }; + + // Add artificial delay of 5 seconds + await new Promise(resolve => setTimeout(resolve, 2000)); + + const weatherOptions = ['sunny', 'cloudy', 'rainy', 'snowy', 'windy']; + const weather = + weatherOptions[Math.floor(Math.random() * weatherOptions.length)]; + + yield { + state: 'ready' as const, + temperature: 72, + weather, + }; + }, +}); + +export type WeatherUIToolInvocation = UIToolInvocation; diff --git a/apps/ai-observability/vercel-ai/next-agent/tsconfig.json b/apps/ai-observability/vercel-ai/next-agent/tsconfig.json new file mode 100644 index 000000000..6144a4217 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-agent/tsconfig.json @@ -0,0 +1,56 @@ +{ + "compilerOptions": { + "target": "es5", + "lib": [ + "dom", + "dom.iterable", + "esnext" + ], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "forceConsistentCasingInFileNames": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "Bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": [ + "./*" + ], + "@util/*": [ + "./util/*" + ] + }, + "composite": true, + "noEmit": true + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts" + ], + "exclude": [ + "node_modules" + ], + "references": [ + { + "path": "../../packages/ai" + }, + { + "path": "../../packages/openai" + }, + { + "path": "../../packages/react" + } + ] +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/.env.local.example b/apps/ai-observability/vercel-ai/next-fastapi/.env.local.example new file mode 100644 index 000000000..b0baed7d3 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/.env.local.example @@ -0,0 +1,3 @@ +# You must first activate a Billing Account here: https://platform.openai.com/account/billing/overview +# Then get your OpenAI API Key here: https://platform.openai.com/account/api-keys +OPENAI_API_KEY=xxxxxxx diff --git a/apps/ai-observability/vercel-ai/next-fastapi/.gitignore b/apps/ai-observability/vercel-ai/next-fastapi/.gitignore new file mode 100644 index 000000000..cde004d53 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/.gitignore @@ -0,0 +1,40 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# python +venv/ +.env +__pycache__ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/apps/ai-observability/vercel-ai/next-fastapi/README.md b/apps/ai-observability/vercel-ai/next-fastapi/README.md new file mode 100644 index 000000000..e2578e2a7 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/README.md @@ -0,0 +1,41 @@ +# AI SDK, Next.js, and FastAPI Examples + +These examples show you how to use the [AI SDK](https://ai-sdk.dev/docs) with [Next.js](https://nextjs.org) and [FastAPI](https://fastapi.tiangolo.com). + +## How to use + +Execute [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app) with [npm](https://docs.npmjs.com/cli/init), [Yarn](https://yarnpkg.com/lang/en/docs/cli/create/), or [pnpm](https://pnpm.io) to bootstrap the example: + +```bash +npx create-next-app --example https://github.com/vercel/ai/tree/main/examples/next-fastapi next-fastapi-app +``` + +```bash +yarn create next-app --example https://github.com/vercel/ai/tree/main/examples/next-fastapi next-fastapi-app +``` + +```bash +pnpm create next-app --example https://github.com/vercel/ai/tree/main/examples/next-fastapi next-fastapi-app +``` + +You will also need [Python 3.6+](https://www.python.org/downloads) and [virtualenv](https://virtualenv.pypa.io/en/latest/installation.html) installed to run the FastAPI server. + +To run the example locally you need to: + +1. Sign up at [OpenAI's Developer Platform](https://platform.openai.com/signup). +2. Go to [OpenAI's dashboard](https://platform.openai.com/account/api-keys) and create an API KEY. +3. Set the required environment variables as shown in [the example env file](./.env.local.example) but in a new file called `.env.local`. +4. `virtualenv venv` to create a python virtual environment. +5. `source venv/bin/activate` to activate the python virtual environment. +6. `pip install -r requirements.txt` to install the required python dependencies. +7. `pnpm install` to install the required dependencies. +8. `pnpm dev` to launch the development server. + +## Learn More + +To learn more about the AI SDK, Next.js, and FastAPI take a look at the following resources: + +- [AI SDK Docs](https://ai-sdk.dev/docs) - view documentation and reference for the AI SDK. +- [Vercel AI Playground](https://ai-sdk.dev/playground) - try different models and choose the best one for your use case. +- [Next.js Docs](https://nextjs.org/docs) - learn about Next.js features and API. +- [FastAPI Docs](https://fastapi.tiangolo.com) - learn about FastAPI features and API. diff --git a/apps/ai-observability/vercel-ai/next-fastapi/api/index.py b/apps/ai-observability/vercel-ai/next-fastapi/api/index.py new file mode 100644 index 000000000..3cdc9b190 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/api/index.py @@ -0,0 +1,135 @@ +import os +import json +from typing import List +from pydantic import BaseModel +from dotenv import load_dotenv +from fastapi import FastAPI, Query +from fastapi.responses import StreamingResponse +from openai import OpenAI +from .utils.prompt import ClientMessage, convert_to_openai_messages +from .utils.tools import get_current_weather + + +load_dotenv(".env.local") + +app = FastAPI() + +client = OpenAI( + api_key=os.environ.get("OPENAI_API_KEY"), +) + + +class Request(BaseModel): + messages: List[ClientMessage] + + +available_tools = { + "get_current_weather": get_current_weather, +} + + +def stream_text(messages: List[ClientMessage], protocol: str = 'data'): + stream = client.chat.completions.create( + messages=messages, + model="gpt-4o", + stream=True, + tools=[{ + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": { + "type": "string", + "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location", "unit"], + }, + }, + }] + ) + + # When protocol is set to "text", you will send a stream of plain text chunks + # https://ai-sdk.dev/docs/ai-sdk-ui/stream-protocol#text-stream-protocol + + if (protocol == 'text'): + for chunk in stream: + for choice in chunk.choices: + if choice.finish_reason == "stop": + break + else: + yield "{text}".format(text=choice.delta.content) + + # When protocol is set to "data", you will send a stream data part chunks + # https://ai-sdk.dev/docs/ai-sdk-ui/stream-protocol#data-stream-protocol + + elif (protocol == 'data'): + draft_tool_calls = [] + draft_tool_calls_index = -1 + + for chunk in stream: + for choice in chunk.choices: + if choice.finish_reason == "stop": + continue + + elif choice.finish_reason == "tool_calls": + for tool_call in draft_tool_calls: + yield '9:{{"toolCallId":"{id}","toolName":"{name}","args":{args}}}\n'.format( + id=tool_call["id"], + name=tool_call["name"], + args=tool_call["arguments"]) + + for tool_call in draft_tool_calls: + tool_result = available_tools[tool_call["name"]]( + **json.loads(tool_call["arguments"])) + + yield 'a:{{"toolCallId":"{id}","toolName":"{name}","args":{args},"result":{result}}}\n'.format( + id=tool_call["id"], + name=tool_call["name"], + args=tool_call["arguments"], + result=json.dumps(tool_result)) + + elif choice.delta.tool_calls: + for tool_call in choice.delta.tool_calls: + id = tool_call.id + name = tool_call.function.name + arguments = tool_call.function.arguments + + if (id is not None): + draft_tool_calls_index += 1 + draft_tool_calls.append( + {"id": id, "name": name, "arguments": ""}) + + else: + draft_tool_calls[draft_tool_calls_index]["arguments"] += arguments + + else: + yield '0:{text}\n'.format(text=json.dumps(choice.delta.content)) + + if chunk.choices == []: + usage = chunk.usage + prompt_tokens = usage.prompt_tokens + completion_tokens = usage.completion_tokens + + yield 'd:{{"finishReason":"{reason}","usage":{{"promptTokens":{prompt},"completionTokens":{completion}}}}}\n'.format( + reason="tool-calls" if len( + draft_tool_calls) > 0 else "stop", + prompt=prompt_tokens, + completion=completion_tokens + ) + + +@app.post("/api/chat") +async def handle_chat_data(request: Request, protocol: str = Query('data')): + messages = request.messages + openai_messages = convert_to_openai_messages(messages) + + response = StreamingResponse(stream_text(openai_messages, protocol)) + response.headers['x-vercel-ai-data-stream'] = 'v1' + return response diff --git a/apps/ai-observability/vercel-ai/next-fastapi/api/utils/__init__.py b/apps/ai-observability/vercel-ai/next-fastapi/api/utils/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/apps/ai-observability/vercel-ai/next-fastapi/api/utils/prompt.py b/apps/ai-observability/vercel-ai/next-fastapi/api/utils/prompt.py new file mode 100644 index 000000000..6674b85e0 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/api/utils/prompt.py @@ -0,0 +1,75 @@ +import json +from pydantic import BaseModel +from typing import List, Optional +from .types import ClientAttachment, ToolInvocation + + +class ClientMessage(BaseModel): + role: str + content: str + experimental_attachments: Optional[List[ClientAttachment]] = None + toolInvocations: Optional[List[ToolInvocation]] = None + + +def convert_to_openai_messages(messages: List[ClientMessage]): + openai_messages = [] + + for message in messages: + parts = [] + + parts.append({ + 'type': 'text', + 'text': message.content + }) + + if (message.experimental_attachments): + for attachment in message.experimental_attachments: + if (attachment.contentType.startswith('image')): + parts.append({ + 'type': 'image_url', + 'image_url': { + 'url': attachment.url + } + }) + + elif (attachment.contentType.startswith('text')): + parts.append({ + 'type': 'text', + 'text': attachment.url + }) + + if (message.toolInvocations): + tool_calls = [ + { + 'id': tool_invocation.toolCallId, + 'type': 'function', + 'function': { + 'name': tool_invocation.toolName, + 'arguments': json.dumps(tool_invocation.args) + } + } + for tool_invocation in message.toolInvocations] + + openai_messages.append({ + "role": 'assistant', + "tool_calls": tool_calls + }) + + tool_results = [ + { + 'role': 'tool', + 'content': json.dumps(tool_invocation.result), + 'tool_call_id': tool_invocation.toolCallId + } + for tool_invocation in message.toolInvocations] + + openai_messages.extend(tool_results) + + continue + + openai_messages.append({ + "role": message.role, + "content": parts + }) + + return openai_messages diff --git a/apps/ai-observability/vercel-ai/next-fastapi/api/utils/tools.py b/apps/ai-observability/vercel-ai/next-fastapi/api/utils/tools.py new file mode 100644 index 000000000..f6d151444 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/api/utils/tools.py @@ -0,0 +1,14 @@ +import random + + +def get_current_weather(location, unit="fahrenheit"): + if unit == "celsius": + temperature = random.randint(-34, 43) + else: + temperature = random.randint(-30, 110) + + return { + "temperature": temperature, + "unit": unit, + "location": location, + } diff --git a/apps/ai-observability/vercel-ai/next-fastapi/api/utils/types.py b/apps/ai-observability/vercel-ai/next-fastapi/api/utils/types.py new file mode 100644 index 000000000..5c467d8dc --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/api/utils/types.py @@ -0,0 +1,14 @@ +from pydantic import BaseModel + + +class ClientAttachment(BaseModel): + name: str + contentType: str + url: str + + +class ToolInvocation(BaseModel): + toolCallId: str + toolName: str + args: dict + result: dict diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/01-chat-text/layout.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/01-chat-text/layout.tsx new file mode 100644 index 000000000..519f1785b --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/01-chat-text/layout.tsx @@ -0,0 +1,9 @@ +import type { Metadata } from 'next'; + +export const metadata: Metadata = { + title: 'useChat', +}; + +export default function Layout({ children }: { children: React.ReactNode }) { + return <>{children}; +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/01-chat-text/page.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/01-chat-text/page.tsx new file mode 100644 index 000000000..a5fe4497c --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/01-chat-text/page.tsx @@ -0,0 +1,51 @@ +'use client'; + +import { Card } from '@/app/components'; +import { useChat } from '@ai-sdk/react'; +import { TextStreamChatTransport } from 'ai'; +import { useState } from 'react'; + +export default function Page() { + const [input, setInput] = useState(''); + const { messages, sendMessage, status } = useChat({ + transport: new TextStreamChatTransport({ + api: '/api/chat?protocol=text', + }), + }); + + return ( +
+
+ {messages.map(message => ( +
+
{`${message.role}: `}
+
+ {message.parts + .map(part => (part.type === 'text' ? part.text : '')) + .join('')} +
+
+ ))} +
+ + {messages.length === 0 && } + +
{ + e.preventDefault(); + sendMessage({ text: input }); + setInput(''); + }} + className="fixed bottom-0 flex flex-col w-full border-t" + > + setInput(e.target.value)} + className="w-full p-4 bg-transparent outline-none" + disabled={status !== 'ready'} + /> +
+
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/02-chat-data/layout.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/02-chat-data/layout.tsx new file mode 100644 index 000000000..519f1785b --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/02-chat-data/layout.tsx @@ -0,0 +1,9 @@ +import type { Metadata } from 'next'; + +export const metadata: Metadata = { + title: 'useChat', +}; + +export default function Layout({ children }: { children: React.ReactNode }) { + return <>{children}; +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/02-chat-data/page.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/02-chat-data/page.tsx new file mode 100644 index 000000000..e95f5ca78 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/02-chat-data/page.tsx @@ -0,0 +1,64 @@ +'use client'; + +import { Card } from '@/app/components'; +import { useChat } from '@ai-sdk/react'; +import { getStaticToolName, isStaticToolUIPart } from 'ai'; +import { GeistMono } from 'geist/font/mono'; +import { useState } from 'react'; + +export default function Page() { + const [input, setInput] = useState(''); + const { messages, sendMessage, status } = useChat(); + + return ( +
+
+ {messages.map(message => ( +
+
{`${message.role}: `}
+ +
+ {message.parts.map((part, index) => { + if (part.type === 'text') { + return
{part.text}
; + } else if (isStaticToolUIPart(part)) { + return ( +
+ {`${getStaticToolName(part)}(${JSON.stringify( + part.input, + null, + 2, + )})`} +
+ ); + } + })} +
+
+ ))} +
+ + {messages.length === 0 && } + +
{ + e.preventDefault(); + sendMessage({ text: input }); + setInput(''); + }} + className="flex fixed bottom-0 flex-col w-full border-t" + > + setInput(e.target.value)} + className="p-4 w-full bg-transparent outline-none" + disabled={status !== 'ready'} + /> +
+
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/03-chat-attachments/layout.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/03-chat-attachments/layout.tsx new file mode 100644 index 000000000..97369b1f4 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/03-chat-attachments/layout.tsx @@ -0,0 +1,9 @@ +import type { Metadata } from 'next'; + +export const metadata: Metadata = { + title: 'useChat with attachments', +}; + +export default function Layout({ children }: { children: React.ReactNode }) { + return <>{children}; +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/03-chat-attachments/page.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/03-chat-attachments/page.tsx new file mode 100644 index 000000000..173b4da7f --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/(examples)/03-chat-attachments/page.tsx @@ -0,0 +1,108 @@ +'use client'; + +import { Card } from '@/app/components'; +/* eslint-disable @next/next/no-img-element */ +import { useChat } from '@ai-sdk/react'; +import { useRef, useState } from 'react'; + +export default function Page() { + const [input, setInput] = useState(''); + const { messages, sendMessage, status } = useChat(); + + const [files, setFiles] = useState(undefined); + const fileInputRef = useRef(null); + + return ( +
+
+ {messages.map(message => ( +
+
{`${message.role}: `}
+
+ {message.parts.map((part, index) => { + if (part.type === 'text') { + return
{part.text}
; + } + if ( + part.type === 'file' && + part.mediaType?.startsWith('image/') + ) { + return ( +
+ +
+ ); + } + })} +
+
+ ))} +
+ + {messages.length === 0 && } + +
{ + sendMessage({ text: input, files }); + setInput(''); + setFiles(undefined); + + if (fileInputRef.current) { + fileInputRef.current.value = ''; + } + }} + className="fixed bottom-0 flex flex-col w-full gap-3 p-4 border-t h-28" + > +
+ {files + ? Array.from(files).map(attachment => { + const { type } = attachment; + + if (type.startsWith('image/')) { + return ( +
+ {attachment.name} + + {attachment.name} + +
+ ); + } else if (type.startsWith('text/')) { + return ( +
+
+ {attachment.name} +
+ ); + } + }) + : ''} +
+ { + if (event.target.files) { + setFiles(event.target.files); + } + }} + multiple + ref={fileInputRef} + /> + setInput(e.target.value)} + className="w-full bg-transparent outline-none" + disabled={status !== 'ready'} + /> + +
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/components.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/components.tsx new file mode 100644 index 000000000..99ee81168 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/components.tsx @@ -0,0 +1,99 @@ +import { GeistMono } from 'geist/font/mono'; +import Link from 'next/link'; +import type { ReactNode } from 'react'; + +const Code = ({ children }: { children: ReactNode }) => { + return ( + + {children} + + ); +}; + +export const Card = ({ type }: { type: string }) => { + return type === 'chat-text' ? ( +
+
+
+ Stream Chat Completions +
+
+

+ The useChat hook can be integrated with a Python + FastAPI backend to stream chat completions in real-time. The most + basic setup involves streaming plain text chunks by setting the{' '} + streamProtocol to text. +

+ +

+ To make your responses streamable, you will have to use the{' '} + StreamingResponse class provided by FastAPI. +

+
+
+
+ ) : type === 'chat-data' ? ( +
+
+
+ Stream Chat Completions with Tools +
+
+

+ The useChat hook can be integrated with a Python + FastAPI backend to stream chat completions in real-time. However, + the most basic setup that involves streaming plain text chunks by + setting the streamProtocol to text is + limited. +

+ +

+ As a result, setting the streamProtocol to data allows + you to stream chunks that include information about tool calls and + results. +

+ +

+ To make your responses streamable, you will have to use the{' '} + StreamingResponse class provided by FastAPI. You will + also have to ensure that your chunks follow the{' '} + + data stream protocol + {' '} + and that the response has x-vercel-ai-data-stream{' '} + header set to v1. +

+
+
+
+ ) : type === 'chat-attachments' ? ( +
+
+
+ Stream Chat Completions with Attachments +
+
+

+ The useChat hook can be integrated with a Python + FastAPI backend to stream chat completions in real-time. To make + your responses streamable, you will have to use the{' '} + StreamingResponse class provided by FastAPI. +

+ +

+ Furthermore, you can send files along with your messages by setting{' '} + experimental_attachments to true in{' '} + handleSubmit. This will allow you to use process these + attachments in your FastAPI backend. +

+
+
+
+ ) : null; +}; diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/favicon.ico b/apps/ai-observability/vercel-ai/next-fastapi/app/favicon.ico new file mode 100644 index 000000000..718d6fea4 Binary files /dev/null and b/apps/ai-observability/vercel-ai/next-fastapi/app/favicon.ico differ diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/globals.css b/apps/ai-observability/vercel-ai/next-fastapi/app/globals.css new file mode 100644 index 000000000..426d8b2c4 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/globals.css @@ -0,0 +1,9 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + --foreground-rgb: 0, 0, 0; + --background-start-rgb: 214, 219, 220; + --background-end-rgb: 255, 255, 255; +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/icons.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/icons.tsx new file mode 100644 index 000000000..7d04f2ac7 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/icons.tsx @@ -0,0 +1,106 @@ +export const LogoPython = () => ( + + + + + + + + + + + + + + +); + +export const LogoNext = () => ( + + + + + + + + + + + + + + + + + + + + + + +); diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/layout.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/layout.tsx new file mode 100644 index 000000000..41afbb6d6 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/layout.tsx @@ -0,0 +1,31 @@ +import './globals.css'; +import { LogoNext, LogoPython } from './icons'; +import Link from 'next/link'; +import { GeistSans } from 'geist/font/sans'; + +import type { Metadata } from 'next'; + +export const metadata: Metadata = { + title: 'AI SDK and FastAPI Examples', +}; + +export default function RootLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( + + + +
+ +
+
+ +
+ + {children} + + + ); +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/app/page.tsx b/apps/ai-observability/vercel-ai/next-fastapi/app/page.tsx new file mode 100644 index 000000000..5402cb20d --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/app/page.tsx @@ -0,0 +1,29 @@ +import Link from 'next/link'; + +const examples = [ + { + title: 'useChat', + link: '/01-chat-text', + }, + { + title: 'useChat with tools', + link: '/02-chat-data', + }, + { + title: 'useChat with attachments', + link: '/03-chat-attachments', + }, +]; + +export default function Home() { + return ( +
+ {examples.map((example, index) => ( + +
{index + 1}.
+
{example.title}
+ + ))} +
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/next.config.ts b/apps/ai-observability/vercel-ai/next-fastapi/next.config.ts new file mode 100644 index 000000000..eae91ef3f --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/next.config.ts @@ -0,0 +1,31 @@ +import type { NextConfig } from 'next'; + +const nextConfig: NextConfig = { + rewrites: async () => { + return [ + { + source: '/api/:path*', + destination: + process.env.NODE_ENV === 'development' + ? 'http://127.0.0.1:8000/api/:path*' + : '/api/', + }, + { + source: '/docs', + destination: + process.env.NODE_ENV === 'development' + ? 'http://127.0.0.1:8000/docs' + : '/api/docs', + }, + { + source: '/openapi.json', + destination: + process.env.NODE_ENV === 'development' + ? 'http://127.0.0.1:8000/openapi.json' + : '/api/openapi.json', + }, + ]; + }, +}; + +export default nextConfig; diff --git a/apps/ai-observability/vercel-ai/next-fastapi/package.json b/apps/ai-observability/vercel-ai/next-fastapi/package.json new file mode 100644 index 000000000..a765a51c6 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/package.json @@ -0,0 +1,31 @@ +{ + "name": "@example/next-fastapi", + "version": "0.0.0", + "private": true, + "scripts": { + "fastapi-dev": "pip3 install -r requirements.txt && python3 -m uvicorn api.index:app --reload", + "next-dev": "next dev", + "dev": "concurrently \"npm run next-dev\" \"npm run fastapi-dev\"", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "@ai-sdk/react": "workspace:*", + "ai": "workspace:*", + "geist": "^1.7.0", + "next": "^15.5.18", + "react": "^18.3.1", + "react-dom": "^18.3.1" + }, + "devDependencies": { + "@types/node": "22.19.19", + "@types/react": "^18.3.28", + "@types/react-dom": "^18.3.7", + "autoprefixer": "^10.5.0", + "concurrently": "^9.2.1", + "postcss": "^8.5.14", + "tailwindcss": "^3.4.19", + "typescript": "5.8.3" + } +} diff --git a/apps/ai-observability/vercel-ai/next-fastapi/postcss.config.js b/apps/ai-observability/vercel-ai/next-fastapi/postcss.config.js new file mode 100644 index 000000000..12a703d90 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/apps/ai-observability/vercel-ai/next-fastapi/public/next.svg b/apps/ai-observability/vercel-ai/next-fastapi/public/next.svg new file mode 100644 index 000000000..5174b28c5 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/apps/ai-observability/vercel-ai/next-fastapi/public/vercel.svg b/apps/ai-observability/vercel-ai/next-fastapi/public/vercel.svg new file mode 100644 index 000000000..d2f842227 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/apps/ai-observability/vercel-ai/next-fastapi/requirements.txt b/apps/ai-observability/vercel-ai/next-fastapi/requirements.txt new file mode 100644 index 000000000..769e76c94 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/requirements.txt @@ -0,0 +1,36 @@ +annotated-types==0.7.0 +anyio==4.4.0 +certifi==2024.7.4 +click==8.1.7 +distro==1.9.0 +dnspython==2.6.1 +email_validator==2.2.0 +fastapi==0.111.1 +fastapi-cli==0.0.4 +h11==0.14.0 +httpcore==1.0.5 +httptools==0.6.1 +httpx==0.27.0 +idna==3.7 +Jinja2==3.1.5 +markdown-it-py==3.0.0 +MarkupSafe==2.1.5 +mdurl==0.1.2 +openai==1.37.1 +pydantic==2.8.2 +pydantic_core==2.20.1 +Pygments==2.18.0 +python-dotenv==1.0.1 +python-multipart==0.0.9 +PyYAML==6.0.1 +rich==13.7.1 +shellingham==1.5.4 +sniffio==1.3.1 +starlette==0.37.2 +tqdm==4.66.4 +typer==0.12.3 +typing_extensions==4.12.2 +uvicorn==0.30.3 +uvloop==0.19.0 +watchfiles==0.22.0 +websockets==12.0 diff --git a/apps/ai-observability/vercel-ai/next-fastapi/tailwind.config.js b/apps/ai-observability/vercel-ai/next-fastapi/tailwind.config.js new file mode 100644 index 000000000..db68cff57 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/tailwind.config.js @@ -0,0 +1,18 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + content: [ + './pages/**/*.{js,ts,jsx,tsx,mdx}', + './components/**/*.{js,ts,jsx,tsx,mdx}', + './app/**/*.{js,ts,jsx,tsx,mdx}', + ], + theme: { + extend: { + backgroundImage: { + 'gradient-radial': 'radial-gradient(var(--tw-gradient-stops))', + 'gradient-conic': + 'conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))', + }, + }, + }, + plugins: [], +}; diff --git a/apps/ai-observability/vercel-ai/next-fastapi/tsconfig.json b/apps/ai-observability/vercel-ai/next-fastapi/tsconfig.json new file mode 100644 index 000000000..ca2c43155 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next-fastapi/tsconfig.json @@ -0,0 +1,50 @@ +{ + "compilerOptions": { + "target": "ESNext", + "lib": [ + "dom", + "dom.iterable", + "esnext" + ], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "forceConsistentCasingInFileNames": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "Bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": [ + "./*" + ] + }, + "composite": true, + "noEmit": true + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts" + ], + "exclude": [ + "node_modules" + ], + "references": [ + { + "path": "../../packages/ai" + }, + { + "path": "../../packages/react" + } + ] +} diff --git a/apps/ai-observability/vercel-ai/next/.env.local.example b/apps/ai-observability/vercel-ai/next/.env.local.example new file mode 100644 index 000000000..0de7a3364 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/.env.local.example @@ -0,0 +1,8 @@ +# Required for AI Gateway authentication when running locally. +AI_GATEWAY_API_KEY="" + +# Alternatively, authenticate with a Vercel OIDC token. +# VERCEL_OIDC_TOKEN="" + +# Required for resumable streams. The Redis server must support pub/sub. +REDIS_URL="" diff --git a/apps/ai-observability/vercel-ai/next/.gitignore b/apps/ai-observability/vercel-ai/next/.gitignore new file mode 100644 index 000000000..d186e8809 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/.gitignore @@ -0,0 +1,39 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts + +# persistence +.chats +.streams diff --git a/apps/ai-observability/vercel-ai/next/README.md b/apps/ai-observability/vercel-ai/next/README.md new file mode 100644 index 000000000..0d0d46892 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/README.md @@ -0,0 +1,54 @@ +# Next.js Chat Example + +A minimal Next.js chat application for testing message persistence, server-side +rendering (SSR), and resumable streams. + +## Prerequisites + +- Node.js 22, 24, or 26 +- pnpm 10 or later +- An [AI Gateway API key](https://vercel.com/ai-gateway) +- A Redis database with pub/sub support for resumable streams + +## Setup + +From the repository root, install dependencies and build the workspace +packages: + +```bash +pnpm install +pnpm build +``` + +Copy the example environment file: + +```bash +cp examples/next/.env.local.example examples/next/.env.local +``` + +Then set these values in `examples/next/.env.local`: + +- `AI_GATEWAY_API_KEY`: authenticates requests to the AI Gateway. A + `VERCEL_OIDC_TOKEN` can be used instead. +- `REDIS_URL`: connects `resumable-stream` to Redis. + +## Run locally + +```bash +cd examples/next +pnpm dev +``` + +Open [http://localhost:3000](http://localhost:3000). + +## Test the example + +Send a message to create a chat. The example stores chat data as JSON files in +`examples/next/.chats` so that reloading a chat URL renders its saved messages +on the server. + +To test stream resumption, request a long response and reload the page while it +is still streaming. The client reconnects to the active stream through Redis. + +The file-based chat store is for local demonstration only and is not suitable +for production use. diff --git a/apps/ai-observability/vercel-ai/next/app/actions.ts b/apps/ai-observability/vercel-ai/next/app/actions.ts new file mode 100644 index 000000000..ed9a05bc6 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/actions.ts @@ -0,0 +1,12 @@ +'use server'; + +import { revalidatePath } from 'next/cache'; + +export async function invalidateRouterCache() { + /* + * note: this path does not exist, but it will + * trigger a client-side reload. + */ + revalidatePath('/just-trigger-client-reload'); + await Promise.resolve(); +} diff --git a/apps/ai-observability/vercel-ai/next/app/api/chat/[id]/stream/route.ts b/apps/ai-observability/vercel-ai/next/app/api/chat/[id]/stream/route.ts new file mode 100644 index 000000000..8dee299ed --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/api/chat/[id]/stream/route.ts @@ -0,0 +1,43 @@ +import { readChat, saveChat } from '@util/chat-store'; +import { UI_MESSAGE_STREAM_HEADERS } from 'ai'; +import { after } from 'next/server'; +import { createResumableStreamContext } from 'resumable-stream'; + +export async function GET( + request: Request, + { params }: { params: Promise<{ id: string }> }, +) { + const { id } = await params; + + const chat = await readChat(id); + + if (chat.activeStreamId == null) { + // no content response when there is no active stream + return new Response(null, { status: 204 }); + } + + const streamContext = createResumableStreamContext({ + waitUntil: after, + }); + + return new Response( + await streamContext.resumeExistingStream(chat.activeStreamId), + { headers: UI_MESSAGE_STREAM_HEADERS }, + ); +} + +// DELETE route to stop the stream +export async function DELETE( + request: Request, + { params }: { params: Promise<{ id: string }> }, +) { + const { id } = await params; + + const chat = await readChat(id); + + console.log('canceling stream for chat', id); + + await saveChat({ ...chat, canceledAt: Date.now() }); + + return new Response(null, { status: 200 }); +} diff --git a/apps/ai-observability/vercel-ai/next/app/api/chat/route.ts b/apps/ai-observability/vercel-ai/next/app/api/chat/route.ts new file mode 100644 index 000000000..3b2d25d25 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/api/chat/route.ts @@ -0,0 +1,108 @@ +import type { MyUIMessage } from '@/util/chat-schema'; +import { readChat, saveChat } from '@util/chat-store'; +import { + convertToModelMessages, + createUIMessageStreamResponse, + generateId, + streamText, + toUIMessageStream, +} from 'ai'; +import { after } from 'next/server'; +import { createResumableStreamContext } from 'resumable-stream'; +import throttle from 'throttleit'; + +export async function POST(req: Request) { + const { + message, + id, + trigger, + messageId, + }: { + message: MyUIMessage | undefined; + id: string; + trigger: 'submit-message' | 'regenerate-message'; + messageId: string | undefined; + } = await req.json(); + + const chat = await readChat(id); + let messages: MyUIMessage[] = chat.messages; + + if (trigger === 'submit-message') { + if (messageId != null) { + const messageIndex = messages.findIndex(m => m.id === messageId); + + if (messageIndex === -1) { + throw new Error(`message ${messageId} not found`); + } + + messages = messages.slice(0, messageIndex); + messages.push(message!); + } else { + messages = [...messages, message!]; + } + } else if (trigger === 'regenerate-message') { + const messageIndex = + messageId == null + ? messages.length - 1 + : messages.findIndex(message => message.id === messageId); + + if (messageIndex === -1) { + throw new Error(`message ${messageId} not found`); + } + + // set the messages to the message before the assistant message + messages = messages.slice( + 0, + messages[messageIndex].role === 'assistant' + ? messageIndex + : messageIndex + 1, + ); + } + + // save the user message + saveChat({ id, messages, activeStreamId: null }); + + const userStopSignal = new AbortController(); + + const result = streamText({ + model: 'openai/gpt-5-mini', + messages: await convertToModelMessages(messages), + abortSignal: userStopSignal.signal, + // throttle reading from chat store to max once per second + onChunk: throttle(async () => { + const { canceledAt } = await readChat(id); + if (canceledAt) { + userStopSignal.abort(); + } + }, 1000), + onAbort: () => { + console.log('aborted'); + }, + }); + + return createUIMessageStreamResponse({ + stream: toUIMessageStream({ + stream: result.stream, + originalMessages: messages, + generateMessageId: generateId, + messageMetadata: ({ part }) => { + if (part.type === 'start') { + return { createdAt: Date.now() }; + } + }, + onFinish: ({ messages }) => { + saveChat({ id, messages, activeStreamId: null }); + }, + }), + async consumeSseStream({ stream }) { + const streamId = generateId(); + + // send the sse stream into a resumable stream sink as well: + const streamContext = createResumableStreamContext({ waitUntil: after }); + await streamContext.createNewResumableStream(streamId, () => stream); + + // update the chat with the streamId + saveChat({ id, activeStreamId: streamId }); + }, + }); +} diff --git a/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/chat-input.tsx b/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/chat-input.tsx new file mode 100644 index 000000000..3eaff27b3 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/chat-input.tsx @@ -0,0 +1,45 @@ +import { useState } from 'react'; + +export default function ChatInput({ + status, + onSubmit, + inputRef, + stop, +}: { + status: string; + onSubmit: (text: string) => void; + inputRef: React.RefObject; + stop: () => void; +}) { + const [text, setText] = useState(''); + + return ( + <> + {(status === 'streaming' || status === 'submitted') && ( + + )} +
{ + e.preventDefault(); + if (text.trim() === '') return; + onSubmit(text); + setText(''); + }} + > + setText(e.target.value)} + /> +
+ + ); +} diff --git a/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/chat.tsx b/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/chat.tsx new file mode 100644 index 000000000..920dbf2b9 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/chat.tsx @@ -0,0 +1,103 @@ +'use client'; + +import { invalidateRouterCache } from '@/app/actions'; +import type { MyUIMessage } from '@/util/chat-schema'; +import { useChat } from '@ai-sdk/react'; +import { DefaultChatTransport } from 'ai'; +import { useEffect, useRef } from 'react'; +import ChatInput from './chat-input'; +import Message from './message'; + +export default function ChatComponent({ + chatData, + isNewChat = false, + resume = false, +}: { + chatData: { id: string; messages: MyUIMessage[] }; + isNewChat?: boolean; + resume?: boolean; +}) { + const inputRef = useRef(null); + + const { status, sendMessage, messages, regenerate, stop } = useChat({ + id: chatData.id, + messages: chatData.messages, + resume, + transport: new DefaultChatTransport({ + prepareSendMessagesRequest: ({ id, messages, trigger, messageId }) => { + switch (trigger) { + case 'regenerate-message': + // omit messages data transfer, only send the messageId: + return { + body: { + trigger: 'regenerate-message', + id, + messageId, + }, + }; + + case 'submit-message': + // only send the last message to the server to limit the request size: + return { + body: { + trigger: 'submit-message', + id, + message: messages[messages.length - 1], + messageId, + }, + }; + } + }, + }), + onFinish(options) { + console.log('onFinish', options); + + // for new chats, the router cache needs to be invalidated so + // navigation to the previous page triggers SSR correctly + if (isNewChat) { + invalidateRouterCache(); + } + + // focus the input field again after the response is finished + requestAnimationFrame(() => { + inputRef.current?.focus(); + }); + }, + }); + + // activate the input field + useEffect(() => { + inputRef.current?.focus(); + }, []); + + return ( +
+ {messages.map(message => ( + + ))} + { + // send stop with chat id to the new api route + fetch(`/api/chat/${chatData.id}/stream`, { + method: 'DELETE', + }); + }} + onSubmit={text => { + sendMessage({ text, metadata: { createdAt: Date.now() } }); + + if (isNewChat) { + window.history.pushState(null, '', `/chat/${chatData.id}`); + } + }} + inputRef={inputRef} + /> +
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/message.tsx b/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/message.tsx new file mode 100644 index 000000000..33db9f3b2 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/message.tsx @@ -0,0 +1,60 @@ +import type { MyUIMessage } from '@/util/chat-schema'; +import type { ChatStatus } from 'ai'; + +export default function Message({ + message, + status, + regenerate, + sendMessage, +}: { + status: ChatStatus; + message: MyUIMessage; + regenerate: ({ messageId }: { messageId: string }) => void; + sendMessage: ({ + text, + messageId, + }: { + text: string; + messageId?: string; + }) => void; +}) { + const date = message.metadata?.createdAt + ? new Date(message.metadata.createdAt).toLocaleString() + : ''; + const isUser = message.role === 'user'; + + return ( +
+
{date}
+
{isUser ? 'User:' : 'AI:'}
+
+ {message.parts + .map(part => (part.type === 'text' ? part.text : '')) + .join('')} +
+ {message.role === 'user' && ( + <> + + + + )} +
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/page.tsx b/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/page.tsx new file mode 100644 index 000000000..d60ba719e --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/chat/[chatId]/page.tsx @@ -0,0 +1,29 @@ +import { readAllChats, readChat } from '@util/chat-store'; +import Link from 'next/link'; +import Chat from './chat'; + +export default async function Page(props: { + params: Promise<{ chatId: string }>; +}) { + const { chatId } = await props.params; // get the chat ID from the URL + const chatData = await readChat(chatId); // load the chat + const chats = await readAllChats(); // load all chats + + // filter to 5 most recent chats + const recentChats = chats + .sort((a, b) => b.createdAt - a.createdAt) + .slice(0, 5); + + return ( +
+
    + {recentChats.map(chat => ( +
  • + {chat.id} +
    • + ))} +
+ ; +
+ ); +} diff --git a/apps/ai-observability/vercel-ai/next/app/favicon.ico b/apps/ai-observability/vercel-ai/next/app/favicon.ico new file mode 100644 index 000000000..718d6fea4 Binary files /dev/null and b/apps/ai-observability/vercel-ai/next/app/favicon.ico differ diff --git a/apps/ai-observability/vercel-ai/next/app/globals.css b/apps/ai-observability/vercel-ai/next/app/globals.css new file mode 100644 index 000000000..b5c61c956 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/globals.css @@ -0,0 +1,3 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; diff --git a/apps/ai-observability/vercel-ai/next/app/layout.tsx b/apps/ai-observability/vercel-ai/next/app/layout.tsx new file mode 100644 index 000000000..d29a5479c --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/layout.tsx @@ -0,0 +1,18 @@ +import './globals.css'; + +export const metadata = { + title: 'AI SDK - Next.js OpenAI Examples', + description: 'Examples of using the AI SDK with Next.js and OpenAI.', +}; + +export default function RootLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( + + {children} + + ); +} diff --git a/apps/ai-observability/vercel-ai/next/app/page.tsx b/apps/ai-observability/vercel-ai/next/app/page.tsx new file mode 100644 index 000000000..ef5d77206 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/app/page.tsx @@ -0,0 +1,6 @@ +import { generateId } from 'ai'; +import Chat from './chat/[chatId]/chat'; + +export default async function ChatPage() { + return ; +} diff --git a/apps/ai-observability/vercel-ai/next/package.json b/apps/ai-observability/vercel-ai/next/package.json new file mode 100644 index 000000000..56f181409 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/package.json @@ -0,0 +1,32 @@ +{ + "name": "@example/next", + "version": "0.0.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "@ai-sdk/react": "workspace:*", + "@vercel/blob": "^0.26.0", + "ai": "workspace:*", + "next": "^15.5.18", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "react-markdown": "9.0.1", + "resumable-stream": "^2.2.12", + "throttleit": "2.1.0", + "zod": "3.25.76" + }, + "devDependencies": { + "@types/node": "22.19.19", + "@types/react": "^18.3.28", + "@types/react-dom": "^18.3.7", + "autoprefixer": "^10.5.0", + "postcss": "^8.5.14", + "tailwindcss": "^3.4.19", + "typescript": "5.8.3" + } +} diff --git a/apps/ai-observability/vercel-ai/next/postcss.config.js b/apps/ai-observability/vercel-ai/next/postcss.config.js new file mode 100644 index 000000000..12a703d90 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/apps/ai-observability/vercel-ai/next/tailwind.config.js b/apps/ai-observability/vercel-ai/next/tailwind.config.js new file mode 100644 index 000000000..db68cff57 --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/tailwind.config.js @@ -0,0 +1,18 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + content: [ + './pages/**/*.{js,ts,jsx,tsx,mdx}', + './components/**/*.{js,ts,jsx,tsx,mdx}', + './app/**/*.{js,ts,jsx,tsx,mdx}', + ], + theme: { + extend: { + backgroundImage: { + 'gradient-radial': 'radial-gradient(var(--tw-gradient-stops))', + 'gradient-conic': + 'conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))', + }, + }, + }, + plugins: [], +}; diff --git a/apps/ai-observability/vercel-ai/next/tsconfig.json b/apps/ai-observability/vercel-ai/next/tsconfig.json new file mode 100644 index 000000000..f944b4e5f --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/tsconfig.json @@ -0,0 +1,38 @@ +{ + "compilerOptions": { + "target": "es5", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "forceConsistentCasingInFileNames": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "Bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./*"], + "@util/*": ["./util/*"] + }, + "composite": true, + "noEmit": true + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"], + "references": [ + { + "path": "../../packages/ai" + }, + { + "path": "../../packages/react" + } + ] +} diff --git a/apps/ai-observability/vercel-ai/next/util/chat-schema.ts b/apps/ai-observability/vercel-ai/next/util/chat-schema.ts new file mode 100644 index 000000000..0ffce613f --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/util/chat-schema.ts @@ -0,0 +1,18 @@ +import type { UIDataTypes, UIMessage } from 'ai'; +import { z } from 'zod'; + +export const myMessageMetadataSchema = z.object({ + createdAt: z.number(), +}); + +export type MyMessageMetadata = z.infer; + +export type MyUIMessage = UIMessage; + +export type ChatData = { + id: string; + messages: MyUIMessage[]; + createdAt: number; + activeStreamId: string | null; + canceledAt: number | null; +}; diff --git a/apps/ai-observability/vercel-ai/next/util/chat-store.ts b/apps/ai-observability/vercel-ai/next/util/chat-store.ts new file mode 100644 index 000000000..33f83405f --- /dev/null +++ b/apps/ai-observability/vercel-ai/next/util/chat-store.ts @@ -0,0 +1,124 @@ +import { generateId } from 'ai'; +import { existsSync, mkdirSync } from 'fs'; +import { readdir, readFile, writeFile } from 'fs/promises'; +import path from 'path'; +import type { ChatData, MyUIMessage } from './chat-schema'; + +// example implementation for demo purposes +// in a real app, you would save the chat to a database +// and use the id from the database entry + +// Treat chat IDs as opaque tokens before using them in file paths. +const chatIdRegex = /^[A-Za-z0-9_-]+$/; + +export async function createChat(): Promise { + const id = generateId(); + await getChatFile(id); + return id; +} + +export async function saveChat({ + id, + activeStreamId, + messages, + canceledAt, +}: { + id: string; + activeStreamId?: string | null; + messages?: MyUIMessage[]; + canceledAt?: number | null; +}): Promise { + const chat = await readChat(id); + + if (messages !== undefined) { + chat.messages = messages; + } + + if (activeStreamId !== undefined) { + chat.activeStreamId = activeStreamId; + } + + if (canceledAt !== undefined) { + chat.canceledAt = canceledAt; + } + + await writeChat(chat); +} + +export async function appendMessageToChat({ + id, + message, +}: { + id: string; + message: MyUIMessage; +}): Promise { + const chat = await readChat(id); + chat.messages.push(message); + await writeChat(chat); +} + +async function writeChat(chat: ChatData) { + await writeFile(await getChatFile(chat.id), JSON.stringify(chat, null, 2)); +} + +// TODO return null if the chat does not exist +export async function readChat(id: string): Promise { + return JSON.parse(await readFile(await getChatFile(id), 'utf8')); +} + +export async function readAllChats(): Promise { + const chatDir = getChatDir(); + const files = await readdir(chatDir, { withFileTypes: true }); + return Promise.all( + files + .filter(file => file.isFile()) + .map(file => file.name.match(/^([A-Za-z0-9_-]+)\.json$/)?.[1]) + .filter(id => id != null) + .map(async id => readChat(id)), + ); +} + +async function getChatFile(id: string): Promise { + const chatDir = getChatDir(); + const chatFile = getSafeChatFilePath({ chatDir, id }); + + if (!existsSync(chatDir)) mkdirSync(chatDir, { recursive: true }); + + if (!existsSync(chatFile)) { + const blankChat: ChatData = { + id, + messages: [], + createdAt: Date.now(), + activeStreamId: null, + canceledAt: null, + }; + await writeFile(chatFile, JSON.stringify(blankChat, null, 2)); + } + + return chatFile; +} + +function getChatDir(): string { + return path.resolve(process.cwd(), '.chats'); +} + +function getSafeChatFilePath({ + chatDir, + id, +}: { + chatDir: string; + id: string; +}): string { + if (!chatIdRegex.test(id)) { + throw new Error('Invalid chat ID'); + } + + const chatFile = path.resolve(chatDir, `${id}.json`); + + // Defense in depth: keep the resolved file inside the chat directory. + if (!chatFile.startsWith(`${chatDir}${path.sep}`)) { + throw new Error('Invalid chat ID'); + } + + return chatFile; +}