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3 months ago
3
Native OpenAI Agents SDK session management implementation using Redis as the persistence layer.
- 🧠 Intelligent Agents: Built on OpenAI's powerful Agents SDK
- ⚡ Redis Integration: Lightning-fast caching and persistent storage
- 🔄 Conversation Memory: Maintain context across interactions
# Using uv (recommended)
uv add openai-agents-redis
# Using pip
pip install openai-agents-redis
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
)
🐳 Docker
⚡️ uv
🦾 OpenAI Agents SDK (optional)
🔑 OpenAI API Key (optional)
# Run all tests
uv run pytest
# Run with coverage
uv run pytest --cov
- Storing conversation context
- Full text search
- Vector similarity search & Hybrid Search
- Built-in monitoring dashboard
Made with ❤️ by Rafael
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