LianjiaTech/bella-openai4j
Mar 2025 – Mar 2025
1 Month active
Languages Used
JavaMarkdown
Technical Skills
API DevelopmentDocumentationJavaObject-Oriented Programming
Anthony Anyanwu
PROFILE
Anthony Anyanwu
Worked on the LianjiaTech/bella-openai4j repository to enhance API client functionality by introducing detailed token usage tracking for both prompts and completions. Leveraged Java and object-oriented programming to add new CompletionTokensDetails and PromptTokensDetails classes, integrating them into the existing Usage model for more granular analytics and improved client-side reporting. Updated and expanded test coverage to ensure reliability of the new features, while also upgrading the OpenAI4J library dependency to version 0.22.92. Maintained compatibility with Gradle and Maven builds, and revised multilingual documentation in Markdown to reflect these changes, supporting both English and Chinese developer audiences.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
98
Activity Months1
Your Network
13 peopleWork History
March 2025
2 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: In LianjiaTech/bella-openai4j, delivered enhanced usage visibility and updated dependency to maintain stability. The new token usage tracking provides granular breakdown of prompt and completion tokens via CompletionTokensDetails and PromptTokensDetails, enabling better cost controls, usage analytics, and improved client-side reporting. This was supported by test updates and documentation improvements. A library upgrade to OpenAI4J 0.22.92 aligns with the latest features and security fixes, with corresponding README and docs updated for English and Chinese audiences, preserving compatibility with Gradle and Maven builds. These changes improve reliability, developer experience, and customer value through more accurate token reporting, reduced maintenance risk, and smoother integration. Technologies/skills demonstrated: Java, OpenAI4J, tokenization details, test-driven development, Gradle/Maven dependency management, multilingual documentation.
2 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: In LianjiaTech/bella-openai4j, delivered enhanced usage visibility and updated dependency to maintain stability. The new token usage tracking provides granular breakdown of prompt and completion tokens via CompletionTokensDetails and PromptTokensDetails, enabling better cost controls, usage analytics, and improved client-side reporting. This was supported by test updates and documentation improvements. A library upgrade to OpenAI4J 0.22.92 aligns with the latest features and security fixes, with corresponding README and docs updated for English and Chinese audiences, preserving compatibility with Gradle and Maven builds. These changes improve reliability, developer experience, and customer value through more accurate token reporting, reduced maintenance risk, and smoother integration. Technologies/skills demonstrated: Java, OpenAI4J, tokenization details, test-driven development, Gradle/Maven dependency management, multilingual documentation.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
API DevelopmentDocumentationJavaObject-Oriented Programming
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline