Reshape + Fit Techniques: Implementing Context Trimming and Compaction | Alpha | PandaiTech

Reshape + Fit Techniques: Implementing Context Trimming and Compaction

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OpenAI Coding Optimization

Use Trimming (removing old turns) and Compaction (stripping tool results while keeping messages) to reduce noise in the context window. This helps your AI agents stay focused and significantly reduces latency.

Tips for Controlling Precedence Rules

Don't let the model focus 100% on memory objects alone. Use precedence rules in your prompt so the agent doesn't treat memory as absolute instructions; instead, it should be used as contextual reference that may be stale (outdated).

The Importance of Hallucination Control

During the 'Compaction' process (summarizing data), there is a high risk of AI hallucinating. Ensure your summarization prompt includes explicit instructions to maintain temporal ordering so that the chronology of issues does not become confused.

Advantages of Cross-Session Injection

By enabling cross-session features, summaries from previous sessions are injected directly into the new session's System Prompt. This creates a personalized experience where the AI appears to remember user history even after a session reset.

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