Context Window Management
Context window management decides what information enters the model input and in what priority order. It is critical for long documents, chat history, and RAG systems.
Advanced Architecture
When to use
Use it when inputs are long, conversation history matters, or several sources compete for limited context space.
Prompt example
Task: Apply Context Window Management to the user's request. Context: describe the input, constraints, target audience, and desired format. Instruction: be explicit, keep the output structured, and state any assumptions.
Output example
Structured answer based on the requested technique. Key result: the model follows the stated task and format. Notes: validate the output before using it in production.
Best practices
- Put critical instructions near the start and end.
- Summarize older conversation history.
- Select only the most relevant retrieved chunks.
- Reserve enough tokens for the answer.
Common pitfalls
- Middle content can be underweighted.
- Over-compression can remove important detail.
- Effective context length may be shorter than the advertised limit.