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RAG and context

Context Compression Planner

Design compression strategies for long-running agent conversations that accumulate history. Compare rolling window, summarization, hierarchical compression, and selective retention strategies. Calculate the token cost and information loss tradeoffs for each approach.

Run Context Compression Planner Interactively 100% client-side execution in your browser. Zero data retention.
Open Interactive Tool

What Problem Context Compression Planner Solves

Production AI deployments require predictable token economics, rigorous parameter verification, and deterministic schema handling. Context Compression Planner isolates parameters client-side before payloads hit third-party foundation model APIs.

Primary Production Use Cases

  • Handle multi-hour customer support conversations
  • Manage context in long research agent sessions

Security & Data Privacy Considerations

All computations execute locally in browser memory. No prompt payloads, test inputs, or secret credentials are ever retained or stored on central servers.

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