One-command bootstrap for OpenAI Agents SDK projects
Project description
create-agent 🤖
One-command bootstrap for OpenAI Agents SDK projects.
Usage
# npx (no install needed)
npx create-agent my-project
# With agent type
npx create-agent my-project --type single # default — single agent + tools
npx create-agent my-project --type multi # multi-agent with handoffs
npx create-agent my-project --type voice # voice pipeline (STT → agent → TTS)
# uvx (if you prefer Python toolchain)
uvx create-agent my-project
What you get
my-project/
├── main.py # Entry point — just run this
├── agents/ # Agent definitions
├── tools/ # @function_tool functions
├── tests/ # Pytest tests (ready to run)
├── pyproject.toml # uv-managed deps
├── Makefile # make run / make test / make lint
├── .env.example # Copy → .env, add OPENAI_API_KEY
├── .gitignore
└── .github/copilot-instructions.md # Copilot context — team onboarding
After bootstrap
cd my-project
cp .env.example .env # add your OPENAI_API_KEY
uv sync # install deps
uv run main.py # run your agent
Agent types
| Type | Description |
|---|---|
single |
Single agent with function tools. Best starting point. |
multi |
Orchestrator + specialist agents connected via handoffs. |
voice |
Voice pipeline skeleton (STT → agent → TTS). |
Copilot integration
Every project includes .github/copilot-instructions.md. When your teammate opens the project in VS Code with GitHub Copilot, it automatically loads the agent context — they can ask Copilot things like:
- "Add a tool that fetches weather data"
- "Add a guardrail that blocks off-topic questions"
- "Write a test for the orchestrator"
- "Add memory to persist conversation history"
Stack
- openai-agents — OpenAI Agents SDK
- uv — Python package manager
- pytest — testing
- ruff — linting + formatting
Author
Eddie Chan — github.com/unrealandychan
Project details
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