Backpropagation driven context tuning for LLM apps. Observes prompts, learns from feedback, and refines future context to improve output quality over time.
MIT © 2025 OpenInteractions
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Context Engineering module for OpenInteractions. It observes prompts, builds meaningful context, manages conversation history, performs retrieval-augmented generation (RAG), suggests prompt improvements, switches between fast and slow LLMs, and applies feedback-based backpropagation to refine future interactions.
OpenInteractions/context-engineer
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Context Engineering module for OpenInteractions. It observes prompts, builds meaningful context, manages conversation history, performs retrieval-augmented generation (RAG), suggests prompt improvements, switches between fast and slow LLMs, and applies feedback-based backpropagation to refine future interactions.
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