rafaelpierre/openai-agents-redis

AI Summary: Develop a built-in monitoring dashboard for the OpenAI Agents Redis session management project, providing a polished visualization of conversation history, potentially similar to the UI of the openai/openai-cs-agents-demo project. The current solution uses RedisInsight for real-time visualization, but a more integrated and user-friendly dashboard is desired.

AI Summary: Implement vector similarity search and hybrid search capabilities for an OpenAI Agents SDK session management system using Redis. This builds upon existing functionality and requires integrating a vector database and potentially a search algorithm to enable efficient retrieval of relevant conversation contexts based on semantic similarity.

AI Summary: Implement full-text search (FTS) capabilities within the OpenAI Agents Redis session management project, leveraging Redis's built-in FTS features. This involves integrating FTS functionality into the existing RedisSession class to allow for efficient searching of conversation context stored within Redis.

AI Summary: Enhance the OpenAI Agents Redis session management implementation to store conversation context, which is currently omitted, within the Redis database. This requires careful consideration of compatibility with the existing `Session` base class and protocol to avoid breaking changes.