Definition
What is Context Window Management? — Plain-Language AI Definition
Strategies for managing the finite token limit in conversations with a language model to maintain quality and avoid truncation.
What is Context Window Management?
Context window management is the practice of carefully controlling what goes into a model's context window -- the finite number of tokens the model can process in a single request.
Key Strategies
- Summarization -- Compress older context while preserving key information
- Sliding window -- Keep the most recent N messages
- Selective inclusion -- Only include relevant tool results
- System prompt efficiency -- Keep system prompts concise
- Message pruning -- Remove intermediate reasoning steps
Key Takeaway
The context window is a finite resource. Treat it like memory in a program: allocate intentionally and free what you no longer need.
Learn This in Practice
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