justlovemaki/AIClient-2-API
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaScript
Technical Skills
AI integrationAPI DevelopmentAPI developmentAPI integrationBackend DevelopmentJavaScript
Zhafron Kautsar
PROFILE
Zhafron Kautsar
Zhafron Adani enhanced the justlovemaki/AIClient-2-API repository by delivering five new features focused on improving API reliability and maintainability. He replaced client-side token estimation with server-provided context usage metrics, increasing token counting accuracy for both streaming and non-streaming responses. Using JavaScript and Node.js, Zhafron improved model identification by adding display names to model list responses and preserved tool definitions in multi-turn conversations to prevent API errors. He also extended streaming support with advanced thinking block parsing and prompt prefix injection. Throughout, he prioritized code quality by restoring documentation and simplifying tool description handling for consistent, maintainable backend development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
5
Lines of code
1,432
Activity Months1
Your Network
35 peopleShared Repositories
35
liushizeMember
yin1245Member
何夕2077Member
leonaiMember
Ikko AshimineMember
bee4comeMember
AIClient BotMember
Jie MaMember
WenaixiMember
Work History
January 2026
7 Commits • 5 Features
Jan 1, 2026January 2026 (2026-01) monthly summary for justlovemaki/AIClient-2-API: Delivered significant token counting accuracy improvements, enhanced model identification, strengthened multi-turn tool handling, and improved streaming thinking capabilities. Also improved code quality and tool description handling, contributing to robust performance and maintainability across the API ecosystem.
7 Commits • 5 Features
Jan 1, 2026January 2026 (2026-01) monthly summary for justlovemaki/AIClient-2-API: Delivered significant token counting accuracy improvements, enhanced model identification, strengthened multi-turn tool handling, and improved streaming thinking capabilities. Also improved code quality and tool description handling, contributing to robust performance and maintainability across the API ecosystem.
January 2026
Activity
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Quality Metrics
Correctness97.2%
Maintainability85.8%
Architecture85.8%
Performance82.8%
AI Usage37.2%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
AI integrationAPI DevelopmentAPI developmentAPI integrationBackend DevelopmentJavaScriptNode.jsbackend developmentdocumentationerror handlingfull stack developmentstreaming data handling
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