Plan and allocate your available context window token budget across competing components: system prompt instructions, conversation history, RAG documents, tool definitions, and reserved output space. Generate a context budget report that ensures you never hit context overflow in production.
Run Context Budget Planner Interactively100% client-side execution in your browser. Zero data retention.
Production AI deployments require predictable token economics, rigorous parameter verification, and deterministic schema handling. Context Budget Planner isolates parameters client-side before payloads hit third-party foundation model APIs.
Primary Production Use Cases
Plan context budget for long-running customer support agent
Allocate tokens across multi-step RAG pipeline
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.
Want to automate this tool across multiple models?Orchestrate workflows in Agent Studio