feat: initialize frontend with React, Vite, and Tailwind CSS

- Add package.json with dependencies and scripts for development and build - Create PostCSS configuration for Tailwind CSS and autoprefixer - Implement main App component with chat functionality and message handling - Create API module for sending messages to backend - Add global CSS file with Tailwind directives and custom scrollbar styles - Set up entry point for React application in main.tsx - Define TypeScript environment types for Vite - Configure Tailwind CSS with content paths - Set up TypeScript configuration with strict settings - Configure Vite with React plugin and API proxy for development
2026-07-21 02:25:34 +00:00 · 2026-06-12 17:07:26 +08:00
parent 3d67e8d1e5
commit 358baece76
25 changed files with 3912 additions and 107 deletions
@@ -8,3 +8,7 @@ wheels/

 # Virtual environments
 .venv
+
+# Frontend
+frontend/node_modules/
+frontend/dist/
@@ -0,0 +1,104 @@
+# Agent Alpha 🤖
+
+An agentic AI application built with **pydantic-ai**, featuring a FastAPI backend and a React + Vite frontend.
+
+---
+
+## Project Structure
+
+```
+agent_alpha/
+├── agent_a.py              # Standalone agent runner (CLI)
+├── pyproject.toml           # Python deps & metadata
+├── backend/
+│   ├── app.py               # FastAPI application factory
+│   ├── main.py              # Uvicorn entry point
+│   ├── core/
+│   │   └── agent.py         # Agent lifecycle & inference
+│   └── routes/
+│       ├── chat.py          # POST /api/chat
+│       └── health.py        # GET  /api/health
+├── frontend/
+│   ├── index.html
+│   ├── package.json
+│   ├── vite.config.ts
+│   ├── tsconfig.json
+│   ├── tailwind.config.js
+│   └── src/
+│       ├── main.tsx         # React entry
+│       ├── App.tsx          # Chat UI
+│       ├── api.ts           # API client
+│       └── index.css        # Tailwind base
+└── skills/                  # Agent skill definitions
+```
+
+---
+
+## Quick Start
+
+### 1. Python environment
+
+```bash
+uv sync                     # Create .venv & install deps
+```
+
+### 2. Backend (FastAPI)
+
+```bash
+uv run python -m backend.main
+# → http://localhost:8000
+# → API docs at http://localhost:8000/docs
+```
+
+### 3. Frontend (React + Vite)
+
+```bash
+cd frontend
+npm install
+npm run dev
+# → http://localhost:5173
+```
+
+The Vite dev server proxies `/api/*` requests to the FastAPI backend.
+
+---
+
+## API Endpoints
+
+| Method | Path          | Description                  |
+| ------ | ------------- | ---------------------------- |
+| GET    | `/api/health` | Health check                 |
+| POST   | `/api/chat`   | Send a message to the agent  |
+
+### POST /api/chat
+
+```json
+{ "message": "What are your skills?", "session_id": null }
+```
+
+```json
+{ "reply": "I can help you with...", "session_id": null }
+```
+
+---
+
+## Key Capabilities
+
+- **Code execution** via sandboxed `CodeMode`
+- **Web search** (DuckDuckGo / provider-adaptive)
+- **MCP tool integration** (Hacker News, etc.)
+- **Context management** (sliding window + LLM compaction)
+- **Memory persistence** (`./MEMORY.md`)
+- **Sub-agents** (e.g., `researcher`)
+- **Task tracking** with subtask support
+- **Safety shields**: cost caps, input guards, tool approval, secret redaction, stuck-loop detection
+
+---
+
+## Skills
+
+Skills are loaded from the `./skills/` directory. See each skill's `SKILL.md` for details.
+
+- `analyzing-financial-statements/`
+- `applying-brand-guidelines/`
+- `creating-financial-models/`
@@ -1,106 +0,0 @@
-import logfire
-from pydantic_ai.models.openai import OpenAIResponsesModel
-from pydantic_ai.providers.openai import OpenAIProvider
-from pydantic_ai import Agent
-from pydantic_ai.capabilities import MCP, Thinking, ToolSearch, WebSearch
-from pydantic_ai_harness import CodeMode
-
-# Community packages, alphabetical:
-from pydantic_ai_backends import ConsoleCapability
-from pydantic_ai_shields import CostTracking, InputGuard, SecretRedaction, ToolGuard
-from pydantic_ai_skills import SkillsCapability
-from pydantic_ai_summarization import ContextManagerCapability
-from pydantic_ai_todo import TodoCapability
-from pydantic_deep import MemoryCapability, StuckLoopDetection
-from pydantic_deep.deps import DeepAgentDeps
-from subagents_pydantic_ai import SubAgentCapability, SubAgentConfig
-
-# See https://ai.pydantic.dev/logfire/ for setup details.
-logfire.configure()
-logfire.instrument_pydantic_ai()
-
-model = OpenAIResponsesModel(
-    "llama",
-    provider=OpenAIProvider(base_url="http://localhost:8011/v1"),
-)
-
-agent = Agent(
-    model,
-    capabilities=[
-        # --- Tool execution & discovery ---
-        # Wraps every tool into a single run_code, sandboxed by Monty.
-        CodeMode(),
-        # Progressive tool discovery for large tool sets; discovered tools fold into run_code.
-        ToolSearch(),
-        # --- Reasoning ---
-        # Provider-adaptive thinking; uses native extended thinking on supporting models.
-        Thinking(effort="xhigh"),
-        # --- Context management ---
-        # Sliding window + LLM compaction. By @vstorm-co:
-        # https://github.com/vstorm-co/summarization-pydantic-ai
-        # Pydantic AI also ships `AnthropicCompaction` and `OpenAICompaction` for
-        # provider-native compaction.
-        ContextManagerCapability(max_tokens=100_000),
-        # --- Tools ---
-        # Connect to any MCP server -- here, the open-source Hacker News server
-        # (https://github.com/cyanheads/hn-mcp-server).
-        MCP("https://hn.caseyjhand.com/mcp"),
-        # Provider-adaptive web search; falls back to a local DuckDuckGo implementation.
-        WebSearch(),
-        # Filesystem + shell. By @vstorm-co: https://github.com/vstorm-co/pydantic-ai-backend
-        ConsoleCapability(),
-        # --- Memory & persistence ---
-        # Persistent ./MEMORY.md per agent name. By @vstorm-co:
-        # https://github.com/vstorm-co/pydantic-deepagents
-        MemoryCapability(agent_name="harness-example"),
-        # --- Orchestration ---
-        # Agent skills (Anthropic's spec) by @DougTrajano:
-        # https://github.com/DougTrajano/pydantic-ai-skills
-        # @vstorm-co's pydantic-deep also offers skills loading; the two have different
-        # spec footprints (Doug's is closer to programmatic skills).
-        SkillsCapability(directories=["./skills"]),
-        # Spawn sub-agents with their own toolsets and instructions. By @vstorm-co:
-        # https://github.com/vstorm-co/subagents-pydantic-ai
-        SubAgentCapability(
-            subagents=[
-                SubAgentConfig(
-                    name="researcher",
-                    description="Deep research on a topic",
-                    instructions="You are a thorough research assistant.",
-                ),
-            ]
-        ),
-        # Track tasks and subtasks; in-memory by default, AsyncPostgresStorage available.
-        # By @vstorm-co: https://github.com/vstorm-co/pydantic-ai-todo
-        TodoCapability(enable_subtasks=True),
-        # --- Safety & reliability ---
-        # The next four are by @vstorm-co: https://github.com/vstorm-co/pydantic-ai-shields
-        # Per-run cost cap with a callback hook.
-        CostTracking(budget_usd=5.0),
-        # Reject prompts that look like prompt-injection attempts.
-        InputGuard(guard=lambda p: "ignore previous instructions" not in p.lower()),
-        # Block or require approval per tool name.
-        ToolGuard(blocked=["rm"], require_approval=["write_file"]),
-        # Detect API keys/tokens in tool I/O and redact before they reach the model.
-        SecretRedaction(),
-        # Bail out if the agent gets stuck calling the same tools in a loop.
-        # By @vstorm-co: https://github.com/vstorm-co/pydantic-deepagents
-        StuckLoopDetection(),
-    ],
-)
-
-
-async def main() -> None:
-    deps = DeepAgentDeps()
-    result = await agent.run(
-        "What are your skills.",
-        # "Find the latest HN stories about AI, pull their comment threads, and summarize the discussions.",
-        deps=deps,
-    )
-    print(result.output)
-
-
-if __name__ == "__main__":
-    import asyncio
-
-    asyncio.run(main())
@@ -0,0 +1,41 @@
+"""FastAPI application factory."""
+
+from contextlib import asynccontextmanager
+
+import logfire
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+
+from backend.routes.chat import router as chat_router
+from backend.routes.health import router as health_router
+
+
+@asynccontextmanager
+async def lifespan(_app: FastAPI):
+    """Startup / shutdown lifecycle."""
+    logfire.info("Agent Alpha backend starting")
+    yield
+    logfire.info("Agent Alpha backend shutting down")
+
+
+def create_app() -> FastAPI:
+    app = FastAPI(
+        title="Agent Alpha",
+        description="Agentic AI backend powered by pydantic-ai",
+        version="0.1.0",
+        lifespan=lifespan,
+    )
+
+    # Allow the frontend dev-server to call the API.
+    app.add_middleware(
+        CORSMiddleware,
+        allow_origins=["http://localhost:5173", "http://127.0.0.1:5173"],
+        allow_credentials=True,
+        allow_methods=["*"],
+        allow_headers=["*"],
+    )
+
+    app.include_router(health_router)
+    app.include_router(chat_router)
+
+    return app
@@ -0,0 +1,63 @@
+"""Agent lifecycle: builds the shared agent instance loaded by the API routes."""
+
+import logfire
+from pydantic_ai.models.openai import OpenAIResponsesModel
+from pydantic_ai.providers.openai import OpenAIProvider
+from pydantic_ai import Agent
+from pydantic_ai.capabilities import MCP, Thinking, ToolSearch, WebSearch
+from pydantic_ai_harness import CodeMode
+
+# Community packages, alphabetical:
+from pydantic_ai_backends import ConsoleCapability
+from pydantic_ai_shields import CostTracking, InputGuard, SecretRedaction, ToolGuard
+from pydantic_ai_skills import SkillsCapability
+from pydantic_ai_summarization import ContextManagerCapability
+from pydantic_ai_todo import TodoCapability
+from pydantic_deep import MemoryCapability, StuckLoopDetection
+from pydantic_deep.deps import DeepAgentDeps
+from subagents_pydantic_ai import SubAgentCapability, SubAgentConfig
+
+logfire.configure()
+logfire.instrument_pydantic_ai()
+
+model = OpenAIResponsesModel(
+    "llama",
+    provider=OpenAIProvider(base_url="http://localhost:8011/v1"),
+)
+
+agent = Agent(
+    model,
+    capabilities=[
+        CodeMode(),
+        ToolSearch(),
+        Thinking(effort="xhigh"),
+        ContextManagerCapability(max_tokens=100_000),
+        MCP("https://hn.caseyjhand.com/mcp"),
+        WebSearch(),
+        ConsoleCapability(),
+        MemoryCapability(agent_name="harness-example"),
+        SkillsCapability(directories=["./skills"]),
+        SubAgentCapability(
+            subagents=[
+                SubAgentConfig(
+                    name="researcher",
+                    description="Deep research on a topic",
+                    instructions="You are a thorough research assistant.",
+                ),
+            ]
+        ),
+        TodoCapability(enable_subtasks=True),
+        CostTracking(budget_usd=5.0),
+        InputGuard(guard=lambda p: "ignore previous instructions" not in p.lower()),
+        ToolGuard(blocked=["rm"], require_approval=["write_file"]),
+        SecretRedaction(),
+        StuckLoopDetection(),
+    ],
+)
+
+
+async def ask(prompt: str, session_id: str | None = None) -> str:
+    """Send a prompt to the agent and return the text output."""
+    deps = DeepAgentDeps()
+    result = await agent.run(prompt, deps=deps)
+    return result.output
@@ -0,0 +1,10 @@
+"""Entry point — run with `uv run python -m backend.main` or `uvicorn backend.app:create_app`."""
+
+import uvicorn
+
+from backend.app import create_app
+
+app = create_app()
+
+if __name__ == "__main__":
+    uvicorn.run("backend.app:create_app", host="0.0.0.0", port=8000, reload=True, factory=True)
@@ -0,0 +1,28 @@
+"""Chat API endpoint — streams agent responses using SSE."""
+
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel
+
+from backend.core.agent import ask
+
+router = APIRouter(prefix="/api/chat", tags=["chat"])
+
+
+class ChatRequest(BaseModel):
+    message: str
+    session_id: str | None = None
+
+
+class ChatResponse(BaseModel):
+    reply: str
+    session_id: str | None = None
+
+
+@router.post("", response_model=ChatResponse)
+async def chat_endpoint(body: ChatRequest) -> ChatResponse:
+    """Send a user message to the agent and return its reply."""
+    try:
+        output = await ask(body.message, session_id=body.session_id)
+        return ChatResponse(reply=output, session_id=body.session_id)
+    except Exception as exc:
+        raise HTTPException(status_code=500, detail=str(exc))
@@ -0,0 +1,10 @@
+"""Health-check endpoint."""
+
+from fastapi import APIRouter
+
+router = APIRouter(tags=["health"])
+
+
+@router.get("/api/health")
+async def health_check() -> dict[str, str]:
+    return {"status": "ok"}
@@ -0,0 +1,12 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Agent Alpha</title>
+  </head>
+  <body class="bg-gray-950 text-gray-100 antialiased">
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>
@@ -0,0 +1,25 @@
+{
+  "name": "agent-alpha-frontend",
+  "private": true,
+  "version": "0.1.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "tsc -b && vite build",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "react": "^18.3.1",
+    "react-dom": "^18.3.1"
+  },
+  "devDependencies": {
+    "@types/react": "^18.3.12",
+    "@types/react-dom": "^18.3.1",
+    "@vitejs/plugin-react": "^4.3.4",
+    "autoprefixer": "^10.4.20",
+    "postcss": "^8.4.49",
+    "tailwindcss": "^3.4.16",
+    "typescript": "^5.6.3",
+    "vite": "^6.0.3"
+  }
+}
@@ -0,0 +1,6 @@
+export default {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+};
@@ -0,0 +1,153 @@
+import { useState, useRef, useEffect } from "react";
+import { sendMessage, type ChatResponse } from "./api";
+
+/* ------------------------------------------------------------------ */
+/*  Types                                                              */
+/* ------------------------------------------------------------------ */
+
+interface Message {
+  role: "user" | "assistant";
+  content: string;
+}
+
+/* ------------------------------------------------------------------ */
+/*  Component                                                          */
+/* ------------------------------------------------------------------ */
+
+export default function App() {
+  const [messages, setMessages] = useState<Message[]>([
+    { role: "assistant", content: "Hello! I'm **Agent Alpha**. How can I help you today?" },
+  ]);
+  const [input, setInput] = useState("");
+  const [loading, setLoading] = useState(false);
+  const [sessionId, setSessionId] = useState<string | undefined>();
+  const bottomRef = useRef<HTMLDivElement>(null);
+
+  /* Auto-scroll on new messages */
+  useEffect(() => {
+    bottomRef.current?.scrollIntoView({ behavior: "smooth" });
+  }, [messages]);
+
+  const handleSubmit = async (e: React.FormEvent) => {
+    e.preventDefault();
+    const text = input.trim();
+    if (!text || loading) return;
+
+    setInput("");
+    setMessages((prev) => [...prev, { role: "user", content: text }]);
+    setLoading(true);
+
+    try {
+      const data: ChatResponse = await sendMessage(text, sessionId);
+      setSessionId(data.session_id ?? undefined);
+      setMessages((prev) => [
+        ...prev,
+        { role: "assistant", content: data.reply },
+      ]);
+    } catch (err: unknown) {
+      const msg = err instanceof Error ? err.message : "Unknown error";
+      setMessages((prev) => [
+        ...prev,
+        { role: "assistant", content: `❌ **Error:** ${msg}` },
+      ]);
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  return (
+    <div className="mx-auto flex h-dvh max-w-4xl flex-col">
+      {/* ---- Header ---- */}
+      <header className="flex items-center gap-3 border-b border-gray-800 px-6 py-4">
+        <div className="flex h-9 w-9 items-center justify-center rounded-lg bg-gradient-to-br from-indigo-500 to-purple-600 text-sm font-bold text-white shadow-lg shadow-indigo-500/25">
+          α
+        </div>
+        <div>
+          <h1 className="text-lg font-semibold leading-tight tracking-tight">
+            Agent Alpha
+          </h1>
+          <p className="text-xs text-gray-500">powered by pydantic-ai</p>
+        </div>
+      </header>
+
+      {/* ---- Messages ---- */}
+      <div className="flex-1 overflow-y-auto px-6 py-4 scrollbar-thin">
+        <div className="space-y-4">
+          {messages.map((msg, i) => (
+            <div
+              key={i}
+              className={`flex ${msg.role === "user" ? "justify-end" : "justify-start"}`}
+            >
+              <div
+                className={`max-w-[80%] rounded-2xl px-4 py-2.5 text-sm leading-relaxed ${
+                  msg.role === "user"
+                    ? "bg-indigo-600 text-white"
+                    : "bg-gray-800 text-gray-100"
+                }`}
+              >
+                <Markdown content={msg.content} />
+              </div>
+            </div>
+          ))}
+
+          {loading && (
+            <div className="flex justify-start">
+              <div className="max-w-[80%] rounded-2xl bg-gray-800 px-4 py-3 text-sm text-gray-400">
+                <span className="inline-flex gap-1">
+                  <span className="animate-bounce">●</span>
+                  <span className="animate-bounce [animation-delay:0.15s]">●</span>
+                  <span className="animate-bounce [animation-delay:0.3s]">●</span>
+                </span>
+              </div>
+            </div>
+          )}
+
+          <div ref={bottomRef} />
+        </div>
+      </div>
+
+      {/* ---- Input ---- */}
+      <form
+        onSubmit={handleSubmit}
+        className="border-t border-gray-800 px-6 py-4"
+      >
+        <div className="flex gap-3">
+          <input
+            type="text"
+            value={input}
+            onChange={(e) => setInput(e.target.value)}
+            placeholder="Ask Agent Alpha anything…"
+            disabled={loading}
+            className="flex-1 rounded-xl border border-gray-700 bg-gray-900 px-4 py-2.5 text-sm text-gray-100 placeholder-gray-500 outline-none transition focus:border-indigo-500 focus:ring-1 focus:ring-indigo-500 disabled:opacity-50"
+          />
+          <button
+            type="submit"
+            disabled={loading || !input.trim()}
+            className="rounded-xl bg-indigo-600 px-5 py-2.5 text-sm font-medium text-white transition hover:bg-indigo-500 disabled:cursor-not-allowed disabled:opacity-40"
+          >
+            Send
+          </button>
+        </div>
+      </form>
+    </div>
+  );
+}
+
+/* ------------------------------------------------------------------ */
+/*  Minimal Markdown renderer (inline only — no deps needed)          */
+/* ------------------------------------------------------------------ */
+
+function Markdown({ content }: { content: string }) {
+  /* Bold */
+  const rendered = content
+    .replace(/\*\*(.+?)\*\*/g, "<strong>$1</strong>")
+    .replace(/(?<!\*)__(.+?)__(?!\*)/g, "<strong>$1</strong>")
+    /* Code blocks */
+    .replace(/```(\w*)\n([\s\S]*?)```/g, "<pre class='my-2 overflow-x-auto rounded-lg bg-gray-900 p-3 text-xs'><code>$2</code></pre>")
+    /* Inline code */
+    .replace(/`([^`]+)`/g, "<code class='rounded bg-gray-900 px-1 py-0.5 text-xs text-indigo-300'>$1</code>")
+    /* Line breaks */
+    .replace(/\n/g, "<br />");
+
+  return <span dangerouslySetInnerHTML={{ __html: rendered }} />;
+}
@@ -0,0 +1,22 @@
+const API_BASE = "/api";
+
+export interface ChatResponse {
+  reply: string;
+  session_id: string | null;
+}
+
+export async function sendMessage(
+  message: string,
+  sessionId?: string,
+): Promise<ChatResponse> {
+  const res = await fetch(`${API_BASE}/chat`, {
+    method: "POST",
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify({ message, session_id: sessionId ?? null }),
+  });
+  if (!res.ok) {
+    const body = await res.json().catch(() => null);
+    throw new Error(body?.detail ?? `HTTP ${res.status}`);
+  }
+  return res.json();
+}
@@ -0,0 +1,15 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+/* Smooth scroll for the chat pane */
+.scrollbar-thin::-webkit-scrollbar {
+  width: 6px;
+}
+.scrollbar-thin::-webkit-scrollbar-track {
+  background: transparent;
+}
+.scrollbar-thin::-webkit-scrollbar-thumb {
+  background: #4b5563;
+  border-radius: 3px;
+}
@@ -0,0 +1,10 @@
+import { StrictMode } from "react";
+import { createRoot } from "react-dom/client";
+import App from "./App";
+import "./index.css";
+
+createRoot(document.getElementById("root")!).render(
+  <StrictMode>
+    <App />
+  </StrictMode>,
+);
@@ -0,0 +1 @@
+/// <reference types="vite/client" />
@@ -0,0 +1,8 @@
+/** @type {import('tailwindcss').Config} */
+export default {
+  content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"],
+  theme: {
+    extend: {},
+  },
+  plugins: [],
+};
@@ -0,0 +1,21 @@
+{
+  "compilerOptions": {
+    "target": "ES2020",
+    "useDefineForClassFields": true,
+    "lib": ["ES2020", "DOM", "DOM.Iterable"],
+    "module": "ESNext",
+    "skipLibCheck": true,
+    "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "isolatedModules": true,
+    "moduleDetection": "force",
+    "noEmit": true,
+    "jsx": "react-jsx",
+    "strict": true,
+    "noUnusedLocals": true,
+    "noUnusedParameters": true,
+    "noFallthroughCasesInSwitch": true,
+    "noUncheckedSideEffectImports": true
+  },
+  "include": ["src"]
+}
@@ -0,0 +1,15 @@
+import { defineConfig } from "vite";
+import react from "@vitejs/plugin-react";
+
+export default defineConfig({
+  plugins: [react()],
+  server: {
+    port: 5173,
+    proxy: {
+      "/api": {
+        target: "http://localhost:8000",
+        changeOrigin: true,
+      },
+    },
+  },
+});
@@ -5,6 +5,7 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
+    "fastapi[standard]>=0.136.3",
    "logfire[asyncpg,fastapi,httpx,sqlite3]>=4.36.0",
    "pydantic-ai-backend>=0.2.11",
    "pydantic-ai-harness[code-mode]>=0.3.0",
@@ -13,4 +14,5 @@ dependencies = [
    "pydantic-ai-slim[duckduckgo,mcp,openai]>=1.107.0",
    "pydantic-ai-todo>=0.2.4",
    "pydantic-deep>=0.3.28",
+    "uvicorn[standard]>=0.34.0",
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@@ -2,7 +2,8 @@ version = 1
 revision = 3
 requires-python = ">=3.12"
 resolution-markers = [
-    "python_full_version >= '3.13'",
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
    "python_full_version < '3.13'",
 ]

@@ -11,6 +12,7 @@ name = "agent-alpha"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
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    { name = "logfire", extra = ["asyncpg", "fastapi", "httpx", "sqlite3"] },
    { name = "pydantic-ai-backend" },
    { name = "pydantic-ai-harness", extra = ["code-mode"] },
@@ -19,10 +21,12 @@ dependencies = [
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    { name = "pydantic-ai-todo" },
    { name = "pydantic-deep" },
+    { name = "uvicorn", extra = ["standard"] },
 ]

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    { name = "pydantic-ai-todo", specifier = ">=0.2.4" },
    { name = "pydantic-deep", specifier = ">=0.3.28" },
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