EfficientContext/ContextPilot
Accelerating Long Context LLM Inference with Accuracy-Preserving Context Optimization in SGLang, vLLM, llama.cpp, RAG, and Agentic AI.
ContextPilot helps large language models (LLMs) process very long texts much faster and more efficiently, especially in applications like RAG (Retrieval Augmented Generation) or AI agents. It intelligently reuses shared information across requests, reducing redundant computations. This is ideal for developers and MLOps engineers who are building and deploying LLM applications that deal with extensive and repetitive context.
Available on PyPI.
Use this if you are running LLM applications that involve lengthy input contexts, such as analyzing many documents or maintaining long conversational memory, and you want to improve their speed and reduce computational costs.
Not ideal if your LLM applications primarily deal with very short, simple prompts that have minimal overlapping context.
Stars
63
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
13
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