GetStream/Vision-Agents
Aug 2025 – Jan 2026
6 Months active
Languages Used
PythonYAML
Technical Skills
backend developmenterror handlingloggingAI DevelopmentAI IntegrationAI integration
Deven Joshi
PROFILE
Deven Joshi
Deven contributed to the GetStream/Vision-Agents repository, building and optimizing real-time AI agent features over six months. He engineered robust video and audio processing pipelines, integrated OpenAI and Gemini LLMs, and enabled cross-provider function calling using Python and WebRTC. His work included modularizing the multi-channel protocol system, enhancing error handling, and implementing observability with OpenTelemetry, Prometheus, and Grafana. Deven improved session reliability by addressing race conditions, refining event-driven architectures, and supporting late-joining agents. He also delivered realistic avatar streaming and streamlined onboarding. The depth of his contributions reflects strong backend development, API integration, and real-time system engineering skills.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
55Total
Bugs
9
Commits
55
Features
16
Lines of code
86,996
Activity Months6
Your Network
16 people
Work History
January 2026
8 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) — Delivered key stability and observability improvements for Vision-Agents. Implemented graceful shutdown of video processing on participant leave, hardened WebRTC cleanup to avoid race conditions, and established a comprehensive observability stack with OpenTelemetry, Grafana dashboards, and Prometheus metrics. Added real-time events and deployment docs to empower operations and data-driven decision-making. These efforts reduce resource waste, improve session robustness, and enable faster incident response across LLM, STT, and TTS pipelines.
8 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) — Delivered key stability and observability improvements for Vision-Agents. Implemented graceful shutdown of video processing on participant leave, hardened WebRTC cleanup to avoid race conditions, and established a comprehensive observability stack with OpenTelemetry, Grafana dashboards, and Prometheus metrics. Added real-time events and deployment docs to empower operations and data-driven decision-making. These efforts reduce resource waste, improve session robustness, and enable faster incident response across LLM, STT, and TTS pipelines.
January 2026
December 2025
4 Commits • 3 Features
Dec 1, 2025During December 2025, the Vision-Agents team delivered performance, reliability, and collaboration enhancements in GetStream/Vision-Agents. Key features were delivered to accelerate real-time decision-making and improve media and transcription fidelity, while critical bugs were fixed to ensure consistent system behavior across LLM configurations and session workflows. The work enabled smoother onboarding for late-joining agents, stabilized real-time communication, and strengthened the overall reliability of OpenAI tool usage in live sessions. The month demonstrated proficiency in OpenAI API optimization, real-time collaboration engineering, and testing for multi-user environments, delivering tangible business value in faster feature delivery and more robust operation.
December 2025
4 Commits • 3 Features
Dec 1, 2025During December 2025, the Vision-Agents team delivered performance, reliability, and collaboration enhancements in GetStream/Vision-Agents. Key features were delivered to accelerate real-time decision-making and improve media and transcription fidelity, while critical bugs were fixed to ensure consistent system behavior across LLM configurations and session workflows. The work enabled smoother onboarding for late-joining agents, stabilized real-time communication, and strengthened the overall reliability of OpenAI tool usage in live sessions. The month demonstrated proficiency in OpenAI API optimization, real-time collaboration engineering, and testing for multi-user environments, delivering tangible business value in faster feature delivery and more robust operation.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 focused on delivering immersive AI agent capabilities and stabilizing cross-model workflows. Delivered HeyGen avatars with lip-sync and WebRTC streaming for AI agents, plus a streamlined processor attachment to simplify deployment. Resolved Gemini 3 Pro function calling issues by implementing thought signature extraction, removing empty messages from chat history, and ensuring backward compatibility with Gemini 2.x models. These efforts delivered tangible business value: improved agent realism, reliable multi-model integration, and a smoother developer experience.
2 Commits • 1 Features
Nov 1, 2025November 2025 focused on delivering immersive AI agent capabilities and stabilizing cross-model workflows. Delivered HeyGen avatars with lip-sync and WebRTC streaming for AI agents, plus a streamlined processor attachment to simplify deployment. Resolved Gemini 3 Pro function calling issues by implementing thought signature extraction, removing empty messages from chat history, and ensuring backward compatibility with Gemini 2.x models. These efforts delivered tangible business value: improved agent realism, reliable multi-model integration, and a smoother developer experience.
November 2025
October 2025
13 Commits • 6 Features
Oct 1, 2025October 2025 contributions for GetStream/Vision-Agents focused on reliability, real-time performance, and platform improvements. Delivered a revamped video processing pipeline with a shared forwarder and separate raw/processed track publishing, plus robust error handling, addressing critical feed mismatches and resource leaks. Optimized real-time mode checks by moving them to the top of turn-event handling, reducing latency and CPU usage. Migrated turn detection to EventManager, removed the standalone Krisp core, and integrated the Krisp plugin to use the new event system, improving maintainability and compatibility. Enhanced agent LLM triggering and turn-detection for multi-chunk transcripts, with improved event emission and TTS interruption handling. Added AWS Bedrock Realtime function calling support, alongside documentation/tests, and updated example projects to reflect the new vision-agent plugin architecture. These efforts deliver higher reliability, faster real-time responses, better testability, and stronger readiness for real-time GitHub interactions and enterprise deployment.
October 2025
13 Commits • 6 Features
Oct 1, 2025October 2025 contributions for GetStream/Vision-Agents focused on reliability, real-time performance, and platform improvements. Delivered a revamped video processing pipeline with a shared forwarder and separate raw/processed track publishing, plus robust error handling, addressing critical feed mismatches and resource leaks. Optimized real-time mode checks by moving them to the top of turn-event handling, reducing latency and CPU usage. Migrated turn detection to EventManager, removed the standalone Krisp core, and integrated the Krisp plugin to use the new event system, improving maintainability and compatibility. Enhanced agent LLM triggering and turn-detection for multi-chunk transcripts, with improved event emission and TTS interruption handling. Added AWS Bedrock Realtime function calling support, alongside documentation/tests, and updated example projects to reflect the new vision-agent plugin architecture. These efforts deliver higher reliability, faster real-time responses, better testability, and stronger readiness for real-time GitHub interactions and enterprise deployment.
September 2025
27 Commits • 4 Features
Sep 1, 2025September 2025 highlights: Rebuilt and hardened the Function Calling System (Core) across providers, implemented the MCP framework for multi-channel invocation, and advanced real-time LLM integration. Achieved a modular MCP architecture via the MCPManager, and hardened code quality with comprehensive linting/type-checking fixes and CI mocks. These efforts improved reliability, reduced onboarding time for new providers, and strengthened the platform's cross-provider, real-time capabilities.
27 Commits • 4 Features
Sep 1, 2025September 2025 highlights: Rebuilt and hardened the Function Calling System (Core) across providers, implemented the MCP framework for multi-channel invocation, and advanced real-time LLM integration. Achieved a modular MCP architecture via the MCPManager, and hardened code quality with comprehensive linting/type-checking fixes and CI mocks. These efforts improved reliability, reduced onboarding time for new providers, and strengthened the platform's cross-provider, real-time capabilities.
September 2025
August 2025
1 Commits
Aug 1, 2025Month: 2025-08 — Focused on stability and observability for Vision-Agents OpenAI integration. Delivered a critical bug fix and enhanced error visibility, enabling faster debugging and reducing incident risk.
August 2025
1 Commits
Aug 1, 2025Month: 2025-08 — Focused on stability and observability for Vision-Agents OpenAI integration. Delivered a critical bug fix and enhanced error visibility, enabling faster debugging and reducing incident risk.
Activity
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Quality Metrics
Correctness94.6%
Maintainability86.2%
Architecture89.6%
Performance87.0%
AI Usage48.4%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
AI DevelopmentAI IntegrationAI integrationAPI DevelopmentAPI IntegrationAPI designAPI developmentAPI integrationAWSAsyncIOBackend DevelopmentDecorator PatternDevOpsEvent-driven ArchitectureFunction Calling
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