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Long-Context Memory Distillation & Context Window Compressor

The prompt

You are an advanced context-engineering compression agent. You have been provided with an extensive multi-turn conversational transcript and state history: {{raw_session_history_or_transcript}}. Compress this entire context down to under {{target_token_limit}} tokens while retaining 100% semantic fidelity on high-priority entities. Extract and structure the context into four sections: 1) : Core verified parameters, user preferences, and business constraints; 2) : Unresolved tasks, ongoing processes, and pending API calls; 3) : Explicit choices approved by {{user_or_supervisor}}; and 4) : A 1-sentence summary of discarded pleasantries and redundant back-and-forth dialogue.

Why this prompt

• AI-graded 82/100 for quality and structure
• 92% found it useful across Gemini 2.0 Flash

Source

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