Integrate Langchain usage patch and update UI metrics: Apply Langchain usage patch in agent.py, adjust pipeline stage layout in index.html, and enhance metric descriptions in main.js for improved clarity and functionality.
Enhance metrics handling and add EOU support: Update ChannelPublisher and TurnTracer to include end-of-utterance (EOU) metrics, refactor latency calculations, and improve metric attribute handling. Modify UI tooltips for clarity and adjust test cases to validate new metrics structure.
Refactor Streamlit app and UI for session management: Replace token generation with session bootstrap URL, update client rendering logic, and enhance error handling for session initialization. Improve metrics logging in agent and metrics collector for better tracking of session metadata.
Refactor MetricsCollector and UI for improved latency tracking: Simplify metric calculations by consolidating functions, enhance tooltip descriptions for clarity, and adjust CSS for better layout and responsiveness in index.html.
Refactor UI metrics and enhance tooltip descriptions: Remove average metrics display from index.html and main.js, update tooltip content for latency metrics to provide clearer explanations, and adjust CSS for improved layout and responsiveness.
Update UI styles and metrics handling: Add .vscode to .gitignore, enhance button styles in index.html, and introduce new metrics for voice generation in main.js. Refactor metric calculations and improve layout for better responsiveness.
Update metrics display and calculations: Rename and add new metrics for EOU Delay, STT Finalization, LLM TTFT, LLM→TTS Handoff, and TTS TTFB. Adjust layout for better responsiveness and improve average calculations in the metrics collector.
Enhance live metrics display and update metric handling: Adjust grid layout for metrics, rename and add new metrics for EOU Delay, STT Finalization, LLM TTFT, and LLM→TTS Handoff. Refactor metric update logic for clarity and accuracy.
efactor MetricsCollector and UI to enhance latency tracking and simplify display: Update latency calculations to include STT finalization and LLM generation wait metrics. Remove unused session and trace ID elements from the UI for a cleaner interface. Improve test coverage for new latency metrics and ensure accurate reporting in conversation turns.
Add Langfuse tracing support and enhance agent dispatch logic: Introduce optional Langfuse tracing configuration in .env.example and settings.py. Update agent and metrics collector to handle Langfuse traces per user turn. Refactor agent dispatch logic to ensure proper agent management and session metadata handling in the Streamlit app. Enhance UI to display session and trace information.
Implement speech-to-text provider selection and configuration: Update environment settings to support both Moonshine and NVIDIA STT providers, refactor STT initialization logic in the agent, and enhance footer generation in the Streamlit app for improved user experience. Update dependencies and settings management for better flexibility in model selection.
Refactor Streamlit app layout and enhance UI styling: Update page configuration for a wider layout, improve header visibility, and apply new CSS styles for better user experience. Adjust audio visualization in JavaScript for improved responsiveness and aesthetics.
implement LLM provider selection and configuration: Update environment settings to support HuggingFace alongside NVIDIA, refactor LLM initialization logic in the agent, and enhance settings management for improved flexibility in model selection.
Enhance metrics tracking and visualization: Integrate live and average metrics display in the UI, update JavaScript for metrics handling, and improve audio synthesis logging in Pocket TTS. Adjust Streamlit app for better component height and scrolling.
Enhance LiveKit integration: Add audio input and VAD configurations, update settings, and improve Streamlit app for better agent dispatch and error handling.
Update environment configuration for LiveKit integration, modify Dockerfile for Python version compatibility, and enhance settings management with LiveKit parameters.
