News Summary

• Unified multi-layer caching for AI Agent pipelines.
• Drop it in front of any LLM call, embedding, retrieval query, or agent workflow to eliminate redundant API calls and cut latency and cost.
• Every AI agent pipeline makes the same expensive calls repeatedly.Cache the string or dict output of anyLLM call keyed by model + messages + params.
• Returns a cached answer for semantically similar queries (cosine ≥ threshold).
• Requires pip install 'omnicache-ai[ vector-faiss]'.