GetStream/Vision-Agents
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
AI integrationfull stack developmentreal-time audio processingtext-to-speech
Amos Gyamfi
PROFILE
Amos Gyamfi
Developed and integrated Grok Text-to-Speech functionality into the GetStream/Vision-Agents repository, enabling real-time streaming voices and enhanced audio processing for more natural user interactions. The work involved migrating Grok TTS to the xAI package, refining the audio pipeline, and improving session management and error handling to increase reliability and throughput. Leveraging Python and expertise in AI integration and real-time audio processing, the developer implemented diagnostics, logging enhancements, and precise sample rate handling for accurate playback. Updates also included improved session configuration, explicit event handling, and tooling consistency, resulting in a more robust, low-latency text-to-speech experience within Vision Agents.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
880
Activity Months1
Your Network
29 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for GetStream/Vision-Agents: Delivered Grok Text-to-Speech (TTS) integration to Vision Agents with streaming voices and enhanced audio processing, enabling richer and more natural user interactions. Migrated Grok TTS to the xAI package and implemented targeted improvements across the realtime audio pipeline, session management, and error handling to boost reliability and throughput. Added diagnostics and logging improvements, refined model/session configuration, and corrected sampling rate handling to ensure accurate playback and lower latency.
1 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for GetStream/Vision-Agents: Delivered Grok Text-to-Speech (TTS) integration to Vision Agents with streaming voices and enhanced audio processing, enabling richer and more natural user interactions. Migrated Grok TTS to the xAI package and implemented targeted improvements across the realtime audio pipeline, session management, and error handling to boost reliability and throughput. Added diagnostics and logging improvements, refined model/session configuration, and corrected sampling rate handling to ensure accurate playback and lower latency.
April 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI integrationfull stack developmentreal-time audio processingtext-to-speech
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