livekit/agents-js
Dec 2025 – Dec 2025
1 Month active
Languages Used
TypeScript
Technical Skills
AI integrationNode.jsTypeScriptWebSocket programmingfull stack development
Pooja V Kadam
PROFILE
Pooja V Kadam
Developed and integrated Baseten-hosted speech-to-text, text-to-speech, and large language model capabilities into the livekit/agents-js repository, enabling end-to-end AI-powered agent interactions. Leveraging TypeScript, Node.js, and WebSocket programming, the work introduced a Baseten plugin that allows LiveKit Agents to capture speech, transcribe audio, synthesize responses, and generate intelligent replies. This integration established a plug-and-play foundation for AI models within agent workflows, supporting rapid experimentation and seamless model replacement with minimal code changes. The project focused on stability and extensibility, expanding the potential for customer support automation and virtual assistant use-cases without introducing major bugs during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,213
Activity Months1
Your Network
79 peopleShared Repositories
79
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Baseten-hosted model integration for LiveKit Agents (livekit/agents-js). No major bugs were reported; minor stability refinements were performed during integration. Delivered end-to-end capabilities by enabling Baseten-hosted STT, TTS, and LLM-driven responses within LiveKit Agents via a new Baseten plugin, setting the foundation for plug-and-play AI models across agent workflows and accelerating AI-powered interactions.
1 Commits • 1 Features
Dec 1, 2025December 2025: Baseten-hosted model integration for LiveKit Agents (livekit/agents-js). No major bugs were reported; minor stability refinements were performed during integration. Delivered end-to-end capabilities by enabling Baseten-hosted STT, TTS, and LLM-driven responses within LiveKit Agents via a new Baseten plugin, setting the foundation for plug-and-play AI models across agent workflows and accelerating AI-powered interactions.
December 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
AI integrationNode.jsTypeScriptWebSocket programmingfull stack development
Repositories Contributed To
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