
Worked on the langgenius/dify-plugins repository to deliver a TTC Compression plugin that adds input text compression middleware for optimizing token usage before prompts are sent to large language models. The solution features configurable compression aggressiveness, optional token limits, and safeguards for JSON structure, all integrated between input sources and LLMs. Updated documentation and versioning in Markdown to support easier onboarding and integration. Streamlined the packaging process by removing source files and distributing only the .difypkg artifact, simplifying deployment. Utilized Python for middleware and plugin development, focusing on API integration and text compression to reduce token costs and preserve context.
Monthly summary for 2026-01 focusing on high-value token-efficiency improvements and packaging simplification in the dify-plugins portfolio. Delivered the TTC Compression plugin, adding input text compression middleware to reduce token usage before sending prompts to LLMs, with configurable aggressiveness, optional token limits, and JSON structure protection. Updated README and version documentation to reflect integration with input processing and LLMs. Also streamlined distribution by removing plugin source files and retaining only the packaging artifact (.difypkg). No critical bugs reported; changes validated within the packaging workflow. Overall impact: lower token costs, preserved context, and faster onboarding for customers.
Monthly summary for 2026-01 focusing on high-value token-efficiency improvements and packaging simplification in the dify-plugins portfolio. Delivered the TTC Compression plugin, adding input text compression middleware to reduce token usage before sending prompts to LLMs, with configurable aggressiveness, optional token limits, and JSON structure protection. Updated README and version documentation to reflect integration with input processing and LLMs. Also streamlined distribution by removing plugin source files and retaining only the packaging artifact (.difypkg). No critical bugs reported; changes validated within the packaging workflow. Overall impact: lower token costs, preserved context, and faster onboarding for customers.

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