
Context Gateway is an agentic proxy that automatically compacts conversation history and optimizes context windows to improve efficiency and scalability of AI agent workflows.
Context Gateway is an agentic proxy designed to optimize how AI agents manage and use context during interactions. It sits between your application and underlying language models to provide automatic history compaction, context management, and prompt optimization. Its primary purpose is to help developers build more efficient, scalable, and stateful AI workflows without manually handling token limits or complex conversation histories.
The tool offers instant history compaction, allowing long-running conversations to be summarized and compressed while preserving essential information. It supports configurable context windows and policies so developers can control what is retained, summarized, or discarded based on application needs. Context Gateway also provides tools for structuring and enriching prompts, enabling more consistent agent behavior and better utilization of available tokens. By abstracting away low-level context handling, it reduces the risk of context overflows, redundant information, and degraded model performance in complex workflows.
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