GetStream/Vision-Agents
Aug 2025 – Mar 2026
7 Months active
Languages Used
PythonYAMLDart
Technical Skills
backend developmenterror handlingloggingAI DevelopmentAI IntegrationAI integration
Deven Joshi
PROFILE
Deven Joshi
Contributed to GetStream/Vision-Agents by engineering real-time AI meeting assistants, robust video and audio processing pipelines, and cross-provider LLM integrations. Leveraged Python, Flutter, and WebRTC to deliver features such as transcript buffering, privacy-preserving overlays, and seamless function calling across OpenAI, Gemini, and AWS Bedrock. Focused on backend development, event-driven architecture, and observability, implementing OpenTelemetry, Prometheus, and Grafana dashboards for operational insight. Enhanced reliability through error handling, resource management, and modular plugin systems, while optimizing real-time collaboration and multi-user session workflows. Delivered solutions that improved agent realism, reduced latency, and enabled scalable, maintainable AI-driven communication experiences for enterprise environments.
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
57Total
Bugs
9
Commits
57
Features
17
Lines of code
88,949
Activity Months7
Your Network
24 peopleShared Repositories
24
Work History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 highlights for GetStream/Vision-Agents: Delivered the Real-time AI Meeting Assistant featuring transcript buffering and an overlay coaching experience, plus a privacy-preserving macOS overlay that does not appear in screen captures. Implemented a Flutter-based macOS overlay app that captures audio and streams it to a Python backend for speech-to-text (Deepgram STT) and AI analysis (Gemini LLM), delivering coaching suggestions in real time via Stream Chat. Consolidated real-time transcripts into single chat messages to improve conversation flow and reduce fragmentation. Added a context-tuning capability via a PUT /context endpoint to inject meeting context into prompts. Major bug fix included buffering transcripts into single messages to prevent chat fragmentation (#383) and improved latency controls by dropping the oldest audio chunks when the buffer is full. Key refactors and releases included path updates and release-cleanup for the macOS project. Co-authored commits underpinning these changes: - a8dbc68147456eb22fb4e2a5ea577d1806580cd3: fix: Buffer realtime transcripts into single chat messages (#383) - a0098723f8777814d1321473a2f0da512a3be165: Add sales assistant example — real-time AI meeting coach (macOS overlay, Flutter, Python agent with Deepgram STT + Gemini LLM) and streaming updates; UI and privacy enhancements; release cleanup.
2 Commits • 1 Features
Mar 1, 2026March 2026 highlights for GetStream/Vision-Agents: Delivered the Real-time AI Meeting Assistant featuring transcript buffering and an overlay coaching experience, plus a privacy-preserving macOS overlay that does not appear in screen captures. Implemented a Flutter-based macOS overlay app that captures audio and streams it to a Python backend for speech-to-text (Deepgram STT) and AI analysis (Gemini LLM), delivering coaching suggestions in real time via Stream Chat. Consolidated real-time transcripts into single chat messages to improve conversation flow and reduce fragmentation. Added a context-tuning capability via a PUT /context endpoint to inject meeting context into prompts. Major bug fix included buffering transcripts into single messages to prevent chat fragmentation (#383) and improved latency controls by dropping the oldest audio chunks when the buffer is full. Key refactors and releases included path updates and release-cleanup for the macOS project. Co-authored commits underpinning these changes: - a8dbc68147456eb22fb4e2a5ea577d1806580cd3: fix: Buffer realtime transcripts into single chat messages (#383) - a0098723f8777814d1321473a2f0da512a3be165: Add sales assistant example — real-time AI meeting coach (macOS overlay, Flutter, Python agent with Deepgram STT + Gemini LLM) and streaming updates; UI and privacy enhancements; release cleanup.
March 2026
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.
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.
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.
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
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.
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.
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.
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
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.
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.
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.
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
Activity
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Quality Metrics
Correctness94.4%
Maintainability86.0%
Architecture89.2%
Performance86.6%
AI Usage49.2%
Skills & Technologies
Programming Languages
DartPythonYAML
Technical Skills
AI DevelopmentAI IntegrationAI integrationAPI DevelopmentAPI IntegrationAPI designAPI developmentAPI integrationAWSAsyncIOBackend DevelopmentDecorator PatternDevOpsEvent-driven ArchitectureFlutter
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