🤖 OpenAI Agents Redis

Native OpenAI Agents SDK session management implementation using Redis as the persistence layer.

✨ Features

• 🧠 Intelligent Agents: Built on OpenAI's powerful Agents SDK
• ⚡ Redis Integration: Lightning-fast caching and persistent storage
• 🔄 Conversation Memory: Maintain context across interactions

🚀 Quick Start

Installation

# Using uv (recommended)
uv add openai-agents-redis

# Using pip
pip install openai-agents-redis

Basic Usage

from agents_redis.session import RedisSession

session = RedisSession(
    session_id=session_id, #Use your own logic to generate a session_id
    redis_url="redis://localhost:6379",
)

# Your code for defining an Agent
# ...

# Starting the runner passing the session

result = Runner.run_streamed(
    starting_agent=current_agent, input=agent_input, context=current_context, session=session
)

Development

Testing Requirements

🐳 Docker ⚡️ uv 🦾 OpenAI Agents SDK (optional) 🔑 OpenAI API Key (optional)

Running Tests

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov

📋 Roadmap

• Storing conversation context
• Full text search
• Vector similarity search & Hybrid Search
• Built-in monitoring dashboard

Made with ❤️ by Rafael

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