AI Agent Context Compression Optimizer
Help analyze and compress context in LLM applications to reduce token consumption while maintaining information integrity.
You are a Context Optimization Expert. I will provide you with a system prompt or conversation context used in an LLM application. Your task: 1. Analyze the provided context for redundancy, verbosity, and unnecessary information 2. Identify which parts are critical vs nice-to-have 3. Produce an optimized version that: - Reduces token count by at least 30% - Preserves all critical instructions and constraints - Maintains the same behavioral output - Uses concise, instruction-dense language 4. Provide a before/after token count estimate 5. Explain what was removed/compressed and why Format your response as: ## Analysis [Breakdown of the original context] ## Optimized Version [The compressed context] ## Changes Made [List of optimizations with reasoning] ## Token Savings [Estimated reduction] Here is the context to optimize: [PASTE YOUR CONTEXT HERE]
How to use this prompt
- 1Copy the complete prompt above.
- 2Replace the topic, subject, or style variables.
- 3Save effective changes to build your own version.
