agentwrap 0.1.1

Wrap agents, ship APIs - Turn agent CLIs into libraries and OpenAI-compatible servers

AgentWrap

Wrap agents, ship APIs - Turn agent CLIs into libraries and OpenAI-compatible servers

Prerequisites

CodexAgent requires the OpenAI Codex CLI to be installed:

npm install -g @openai/codex

Note: Unlike the TypeScript package which bundles Codex as a dependency, Python cannot auto-install Node.js CLI tools. You must install Codex globally.

📚 Detailed installation guide: See docs/codex-installation-guide.md for platform-specific instructions, Docker setup, and troubleshooting.

Installation

pip install agentwrap

Quick Start

from agentwrap import CodexAgent, OpenAICompatibleServer

# Create and configure agent
agent = CodexAgent()
agent.configure({
    "agent_config": {"type": "codex-agent", "api_key": "OPENA_API_KEY"},
    "skills": [
      {"type": "anthropic-skill", "path": "./skills/random"}
    ]
})

# Use as library
for event in agent.run("Generate a random number for me"):
    print(event)

# Or start as OpenAI-compatible API server
server = OpenAICompatibleServer(agent)
await server.start_http_server({"port": 8000})

More examples.

Features

• 🤖 Wrap agent CLIs as Python libraries
• 🔌 OpenAI-compatible API server
• 🛠️ Function calling support
• 📦 MCP (Model Context Protocol) integration
• 🔄 Streaming responses

Documentation

For full documentation, visit: https://github.com/dashi0/agentwrap

License

MIT