Prioritize HF Endpoint as primary provider and improve timeout handling

self healing/weather update

Implement AI Mentor/Sidekick architecture with HF Expert and Ollama Mentor

Implement hybrid AI architecture with HF Endpoint heavy lifting and Ollama local caching

Fix session state initialization error for selected_model_value

Prioritize HF Endpoint as primary provider and enhance error handling

Enhance Ollama provider with better timeout handling and error messages

Fix chat message display issues with two-step processing

Fix UI response display issues and enhance chat handling

Implement comprehensive analytics system for UI/UX improvements

Enhance HF endpoint monitoring with initialization status and better user guidance

Implement enhanced UI with proper response display and feedback

Implement enhanced UI with proper response display and feedback

Implement HF endpoint monitoring and integration with wake-up functionality

Implement context enrichment service for current data awareness

Implement circuit breaker pattern and enhanced fallback logic

Enhance modular LLM provider interface with HF endpoint integration

Implement modular LLM provider interface with Hugging Face support

Simplify CosmicCat AI Assistant - Remove HF expert features and branding changes

Fix UI response display and extend session timeout

Targeted chat response fix: enhanced debugging, improved session handling, and better error reporting

Fix chat response issues: st.experimental_rerun(), remove nested chat messages, increase session timeout

Fix import errors in app.py by using provider classes directly instead of legacy functions

Fix chat interface response issues: proper session handling, error handling, and UI display fixes

Fix nested chat message errors, improve response display, and fix story handling

Fix UI response display issues, increase session timeout, and improve error handling

Remove Performance Reports tab and keep only About tab

Implement efficiency improvements: HF endpoint monitoring optimization, Redis connection pooling, API request caching, session management optimization, async processing, model validation caching, and config singleton pattern

Implement efficiency improvements: HF endpoint monitoring optimization, Redis connection pooling, API request caching, session management optimization, async processing, model validation caching, and config singleton pattern

Enhanced system initialization, context awareness, and debug information

Implement Cosmic Cascade Response Mode without NASA API integration

Implement Cosmic Cascade Response Mode with three-stage AI flow

Enhance CosmicCat AI with space-themed personality, NASA integration, and improved UI

Fix syntax error in app.py - properly structure try/except/finally blocks

Fix Streamlit component issues - replace st.toggle with st.checkbox

Fix syntax error in coordinator.py - remove return statements with values from async generator

Fix syntax error in app.py and rebrand to CosmicCat AI Assistant

Rebrand from AI Life Coach to CosmicCat AI Assistant with space-cat theme

Update

Removed Semantic Scholar dependency and all related code references

Implemented comprehensive enhancements: removed TTS, fixed session state issues, improved UI/UX, added analytics, input validation, and feedback collection

Fixed expander nesting issue in HF Expert analysis section

Fixed syntax error in session validation and improved session state handling

Fixed session initialization issues and ensured proper message format to prevent Streamlit SessionInfo errors

Implemented timestamp injection at multiple levels to ensure AI always has access to current date/time

Fixed app layout to move chat input outside of tabs to comply with Streamlit constraints

Implemented live web search (Tavily), academic research access (Semantic Scholar), and evaluation dashboard with tabs

Implemented live web search (Tavily), academic research access (Semantic Scholar), and evaluation dashboard with tabs

Implemented live web search (Tavily), academic research access (Semantic Scholar), and evaluation dashboard with tabs

Implement UX enhancements: redesigned sidebar layout, stage-aware processing feedback, and user-friendly error messages