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Add context compression feature for long conversations
- Implemented automatic context compression to manage long conversations that approach the model's context limit. - Configured the feature to summarize middle turns while protecting the first three and last four turns, ensuring important context is retained. - Added configuration options in `cli-config.yaml` and environment variables for enabling/disabling compression and setting thresholds. - Updated documentation in `README.md`, `cli.md`, and `.env.example` to explain the context compression functionality and its configuration. - Enhanced the `cli.py` to load compression settings into environment variables, ensuring seamless integration with the CLI. - Completed the implementation of context compression as outlined in the TODO list, marking it as a significant enhancement to conversation management.
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.env.example
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.env.example
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@ -154,3 +154,13 @@ WEB_TOOLS_DEBUG=false
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VISION_TOOLS_DEBUG=false
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MOA_TOOLS_DEBUG=false
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IMAGE_TOOLS_DEBUG=false
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# =============================================================================
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# CONTEXT COMPRESSION (Auto-shrinks long conversations)
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# =============================================================================
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# When conversation approaches model's context limit, middle turns are
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# automatically summarized to free up space.
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#
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# CONTEXT_COMPRESSION_ENABLED=true # Enable auto-compression (default: true)
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# CONTEXT_COMPRESSION_THRESHOLD=0.85 # Compress at 85% of context limit
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# CONTEXT_COMPRESSION_MODEL=google/gemini-2.0-flash-001 # Fast model for summaries
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