Docs/context compressor

[vinci-grape]

Change Summary

Related issue number

Checklist

• The pull request title is a good summary of the changes - it will be used in the changelog
• Unit tests for the changes exist
• Run pre-commit install and pre-commit run --all-files before git commit, and passed lint check.
• Documentation reflects the changes where applicable

[gemini-code-assist]

Summary of Changes

Hello, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the project's documentation by introducing a dedicated section for memory compression configurations. These new features are designed to improve context management in long conversations and specialized AI tasks, offering various compression methods to optimize performance and resource usage. The update ensures that users have clear guidance on configuring these advanced memory management capabilities.

Highlights

• New Memory Compression Documentation: Introduced a comprehensive section detailing memory compression configurations, including context_compressor, refine_condenser, and code_condenser.
• Context Management Features: Documented parameters for context management in long conversations, such as context_limit, prune_protect, prune_minimum, reserved_buffer, and enable_summary.
• Multilingual Documentation: Updated both English (docs/en/Components/Config.md) and Chinese (docs/zh/Components/config.md) configuration documentation to reflect the new memory compression features.

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[gemini-code-assist]

Code Review

This pull request introduces comprehensive documentation for the new memory compression configurations, including context_compressor, refine_condenser, and code_condenser. The added sections in both English and Chinese configuration guides provide clear YAML examples and a descriptive table of supported compressor types. This is a valuable addition that enhances the clarity and usability of the ms-agent configuration for managing long conversations and code generation tasks.