TEN-framework/ten_framework
Jan 2026 – Jan 2026
1 Month active
Languages Used
JSONPython
Technical Skills
AI DevelopmentAPI integrationConfiguration ManagementPython ProgrammingPython developmentasynchronous programming
liaochenliang
PROFILE
Liaochenliang
Liao Chenliang enhanced the TEN-framework/ten_framework repository by improving the reliability and configurability of Deepgram ASR for real-time transcription. Focusing on Python and asynchronous programming, Liao strengthened reconnection logic and error handling to reduce ASR-related incidents and increase uptime. The work included updating the mip_opt_out configuration within the speech recognition extension, allowing for more flexible opt-out behavior and clearer error reporting to remote services. By integrating robust API handling and configuration management, Liao delivered targeted changes that addressed stability and visibility issues. The depth of the work reflects a strong understanding of AI development and real-time system requirements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
174
Activity Months1
Your Network
52 peopleSame Organization
@agora.io15
Shared Repositories
37
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026: Deepgram ASR reliability improvements and opt-out configuration across TEN-framework/ten_framework. Strengthened reconnection/error handling and updated mip_opt_out behavior in the speech recognition extension, improving stability and configurability for real-time transcription features. Two commits implemented: 4e08e0542c9d3e4480daa129b0f69bb88d73dcab and b5869821af051b3b27e22c4fb47838dd00b55544. Result: higher uptime, fewer ASR-related incidents, and clearer error reporting.
2 Commits • 1 Features
Jan 1, 2026January 2026: Deepgram ASR reliability improvements and opt-out configuration across TEN-framework/ten_framework. Strengthened reconnection/error handling and updated mip_opt_out behavior in the speech recognition extension, improving stability and configurability for real-time transcription features. Two commits implemented: 4e08e0542c9d3e4480daa129b0f69bb88d73dcab and b5869821af051b3b27e22c4fb47838dd00b55544. Result: higher uptime, fewer ASR-related incidents, and clearer error reporting.
January 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
AI DevelopmentAPI integrationConfiguration ManagementPython ProgrammingPython developmentasynchronous programmingerror handling
Repositories Contributed To
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