xlang-ai/OSWorld
Nov 2025 – May 2026
2 Months active
Languages Used
Python
Technical Skills
API integrationPythonerror handlingfull stack developmentloggingAI Development
Qichen Fu
PROFILE
Qichen Fu
Worked on the xlang-ai/OSWorld repository to deliver advanced AI features and improve system robustness over a two-month period. Developed support for the Claude Sonnet 4.5 model, enhancing action handling and integrating more resilient API interactions using Python. Introduced adaptive thinking and prompt optimization, enabling cognitive-load aware task execution and efficient token budgeting. Enhanced logging and error handling improved observability and reduced failure modes, while system prompt updates and evaluator fixes increased reliability. Collaborated on backend integration and full stack development, focusing on API integration, software engineering best practices, and scalable solutions to support larger reasoning pipelines and complex task workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,160
Activity Months2
Your Network
243 peopleShared Repositories
52
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 performance summary for xlang-ai/OSWorld: Delivered Adaptive Thinking and Prompt Optimization to enable cognitive-load aware task execution, introduced an effort control parameter for token budgeting, enhanced task tracking, and batched tool prompts for efficiency. Implemented system-prompt improvements and evaluator fixes to boost reliability, and completed targeted bug fixes that reduce crashes and edge-case failures. Overall, this work increases operational efficiency, reduces token waste, and improves scalability for larger prompts and tasks.
1 Commits • 1 Features
May 1, 2026May 2026 performance summary for xlang-ai/OSWorld: Delivered Adaptive Thinking and Prompt Optimization to enable cognitive-load aware task execution, introduced an effort control parameter for token budgeting, enhanced task tracking, and batched tool prompts for efficiency. Implemented system-prompt improvements and evaluator fixes to boost reliability, and completed targeted bug fixes that reduce crashes and edge-case failures. Overall, this work increases operational efficiency, reduces token waste, and improves scalability for larger prompts and tasks.
May 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 Overview: Delivered Claude Sonnet 4.5 model support and related robustness improvements in xlang-ai/OSWorld. Focused on feature delivery, improved action handling, enhanced observability, and more resilient API interactions to reduce failure modes and support customer adoption of the latest model capabilities. Key features delivered: - Claude Sonnet 4.5 model support: added compatibility and integration for the latest model features. - Action handling enhancements: improved type handling and routing of actions within tasks for more reliable execution. - Logging improvements: enhanced logging of task results to improve observability and troubleshooting. - API robustness enhancements: optimized Claude API interaction with better error handling and retry behavior. Major bugs fixed: - None reported this month; emphasis on feature delivery and reliability improvements. Overall impact and accomplishments: - Expanded capability for customers to leverage Claude Sonnet 4.5, increasing platform value and competitiveness. - Increased stability and observability of task executions, enabling faster issue diagnosis and reduced downtime. - Demonstrated strong backend integration with Claude API and proactive robustness improvements. Technologies/skills demonstrated: - Backend API integration, Claude API interaction, error handling and retry logic - Logging and observability best practices - Code quality, review, and collaboration with repo xlang-ai/OSWorld Commits: - 903ed3671547bc735d23e27154bac1b9c8e436d0
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 Overview: Delivered Claude Sonnet 4.5 model support and related robustness improvements in xlang-ai/OSWorld. Focused on feature delivery, improved action handling, enhanced observability, and more resilient API interactions to reduce failure modes and support customer adoption of the latest model capabilities. Key features delivered: - Claude Sonnet 4.5 model support: added compatibility and integration for the latest model features. - Action handling enhancements: improved type handling and routing of actions within tasks for more reliable execution. - Logging improvements: enhanced logging of task results to improve observability and troubleshooting. - API robustness enhancements: optimized Claude API interaction with better error handling and retry behavior. Major bugs fixed: - None reported this month; emphasis on feature delivery and reliability improvements. Overall impact and accomplishments: - Expanded capability for customers to leverage Claude Sonnet 4.5, increasing platform value and competitiveness. - Increased stability and observability of task executions, enabling faster issue diagnosis and reduced downtime. - Demonstrated strong backend integration with Claude API and proactive robustness improvements. Technologies/skills demonstrated: - Backend API integration, Claude API interaction, error handling and retry logic - Logging and observability best practices - Code quality, review, and collaboration with repo xlang-ai/OSWorld Commits: - 903ed3671547bc735d23e27154bac1b9c8e436d0
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI DevelopmentAPI IntegrationAPI integrationPythonPython ProgrammingSoftware Engineeringerror handlingfull stack developmentlogging
Repositories Contributed To
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