livekit/agents-js
Feb 2026 – Feb 2026
1 Month active
Languages Used
TypeScript
Technical Skills
API integrationNode.jsTypeScriptWebSocket programmingfull stack developmenttesting
Shivam Mishra
PROFILE
Shivam Mishra
Developed multilingual Sarvam AI text-to-speech and speech-to-text plugins for the livekit/agents-js repository, expanding language coverage and enhancing end-user experience within LiveKit Agents. Implemented explicit toggles for WebSocket streaming versus REST behavior, allowing users to select optimal streaming modes for their needs. Improved test automation by enabling tests to run without a real API key, supporting faster and more reliable QA cycles. The work involved deep integration of Sarvam AI’s plugin architecture with LiveKit Agents, leveraging TypeScript, Node.js, and WebSocket programming to deliver flexible, reliable streaming interactions and a cohesive plugin workflow that improves developer velocity and system reliability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,198
Activity Months1
Your Network
79 peopleShared Repositories
79
Work History
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for livekit/agents-js. Focused on delivering multilingual Sarvam AI TTS/STT capabilities within LiveKit Agents, strengthening language coverage and end-user experience. Implemented explicit WebSocket streaming vs REST behavior toggles, and improved testability by enabling runs without a real API key. These efforts drive customer value through flexible, reliable streaming interactions and faster QA cycles. Key technologies demonstrated include the Sarvam AI plugin architecture, LiveKit Agents integration, WebSocket/REST streaming controls, multilingual voice/transcription support, and test automation.
3 Commits • 2 Features
Feb 1, 2026February 2026 (2026-02) monthly summary for livekit/agents-js. Focused on delivering multilingual Sarvam AI TTS/STT capabilities within LiveKit Agents, strengthening language coverage and end-user experience. Implemented explicit WebSocket streaming vs REST behavior toggles, and improved testability by enabling runs without a real API key. These efforts drive customer value through flexible, reliable streaming interactions and faster QA cycles. Key technologies demonstrated include the Sarvam AI plugin architecture, LiveKit Agents integration, WebSocket/REST streaming controls, multilingual voice/transcription support, and test automation.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture93.4%
Performance80.0%
AI Usage46.6%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
API integrationNode.jsTypeScriptWebSocket programmingfull stack developmenttesting
Repositories Contributed To
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