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d9122ac936
Replace the generic summarization prompt ('Summarize these conversation
turns concisely') with a task-oriented handoff prompt inspired by
OpenAI's Codex CLI compaction flow (researched in #499).
The new prompt frames compression as a 'CONTEXT CHECKPOINT COMPACTION'
and instructs the summarization model to produce a structured handoff
summary that includes:
- Current progress and key decisions
- User preferences and constraints discovered
- Clear next steps remaining
- Critical data (file paths, URLs, error messages, code snippets)
- Tool calls made and their key results
This produces better summaries because the model understands the summary
will be used by another LLM to continue the work, rather than treating
it as a generic text compression task.
No behavioral change to the compression algorithm itself — same
positional protection, same role alternation, same [CONTEXT SUMMARY]:
prefix. Only the prompt sent to the summarization model changes.
Inspired by PR #776 by @kshitijk4poor.
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| .. | ||
| __init__.py | ||
| auxiliary_client.py | ||
| context_compressor.py | ||
| display.py | ||
| insights.py | ||
| model_metadata.py | ||
| prompt_builder.py | ||
| prompt_caching.py | ||
| redact.py | ||
| skill_commands.py | ||
| trajectory.py | ||