Enhance UI and functionality of prompt suggestions and chat interface. Update styles for quick prompts and category-based prompts to align with Perplexity-style design. Improve JavaScript handling for prompt chip interactions and visibility management. Refactor geometry query detection in MeeTARA agent to support radius and diameter extraction, enhancing calculator capabilities for geometry-related queries. Adjust logging for better debugging and user experience.

Add prompt suggestions feature with Perplexity-style UI. Introduce loading mechanism for prompt suggestions from a JSON config file, including categories and quick prompts. Enhance HTML generation for displaying suggestions based on chat state. Update styles for prompt chips and implement JavaScript for interaction and visibility management. Create a new JSON configuration file for prompt suggestions.

Add detailed analysis of MeeTARA Core and Agent scripts, highlighting their roles, responsibilities, and interactions. Introduce a new Word Problem Handling Strategy document outlining the approach for different types of word problems. Update README to include model configuration details, emphasizing customizable system prompts and generation settings. Enhance agent configuration to support geometry keywords and word problem strategies for improved query handling.

Enhance README with detailed Google Custom Search API cost information and automatic fallback to DuckDuckGo. Introduce a new TEST_QUESTIONS.md file with comprehensive sample queries for various functionalities, including math, web search, and algorithms. Update agent configuration to improve news query handling and enhance calculator capabilities with natural language processing for percentages, divisions, and geometry queries. Improve logging for better debugging and user experience.

Implement environment variable loading for local development and enhance README with search provider setup details. Remove smolagents dependency, transitioning to a direct agent approach with improved web search functionality using Google Custom Search API and DuckDuckGo. Update agent configuration to support multiple search providers and enhance logging for better debugging.

Enhance query extraction logic in MeeTARAAgent for improved search accuracy. Implement smart cleaning techniques for various query formats, validate extracted search queries, and ensure robust handling of edge cases. Update logging to provide better insights into query processing and web search results.

Refactor agent mode handling and enhance calculator/web search tools. Agent mode is now always enabled by default, removing the checkbox UI. The calculator and web search functions have been updated to operate independently of smolagents, with improved error handling and logging for better debugging.

Update README with agent flow diagram and configuration details. Add config-based agent system with agent_config.json for tool detection keywords and patterns.

Remove smolagents dependency - use simple direct agent. Add detailed logging for tool results fed to model

Fix: Remove verbose parameter (not supported in smolagents 1.23.0 MultiStepAgent)

Try ToolCallingAgent first (better for tool use), add debug logging

Add verbose logging to agent run() to debug tool usage

Fix: Handle ChatMessage objects from smolagents (not dicts) + try CodeAgent first

Fix: Add generate() method to MeeTARAModelWrapper (smolagents calls .generate() not __call__) + clarify smolagents role

Fix: Create custom web search tool (DuckDuckGoSearchTool not in smolagents 1.23.0)

Debug smolagents import - add step-by-step logging to identify API issue

Add Smolagents integration - Agent Mode with web search and calculator tools

Improve math accuracy: update system prompt to prioritize correctness, lower temp to 0.2

Remove broken/inaccurate models (qwen3-1.7b, qwen2.5-1.5b), lower temp to 0.3 for accuracy

Only add BOS token for Qwen3 thinking models, preserve Qwen2.5 behavior

Fix Qwen3: add BOS token, lower temp to 0.3, add repeat_penalty, better debug logging

Fix Qwen3: remove /no_think (causes garbage), let model think and handle in post-processing

Add debug logging for Qwen3 to diagnose early end token

Fix Qwen3: increase min tokens to 150 before stop check, cleanup unused core modules

Remove deprecated modules: delete document processor, complexity analyzer, content safety, emotion analyzer, enhanced domain detector, enhanced integration, identity handler, lab emotion detector, lab router, lab translation, lab voice synthesis, personalization manager, response validator, and structure adapter files.

Fix Qwen3 thinking models: add /no_think suffix and improve end token detection

Fix Qwen3: Require 30+ tokens before stopping, don't cut at position 0, add debug logging

Fix: Qwen3 - remove /no_think, dont cutoff at position 0

Fix: Qwen3 early stop (require 10+ tokens), handle None response

Revert: max_tokens back to 400 (model stops naturally)

Reduce max_tokens to 250, remove duplicates, clean leaked text

Simplify prompt + clean leaked rules (STRICT RULES)

Optimize: HF Free tier (2 vCPU, 16GB RAM) settings

Strict: Answer FIRST, no repeating, exact order

Force rebuild: Version 2.1

Fix: All indentation errors (except blocks)

Fix: Indentation error on line 160 (break statement)

Fix: Indentation error on line 74 (except block)

Balance: Reasonable limits (3-4 bullets, 1-2 sentence note)

Strict: 150 word limit, ONE sentence Note, no rambling

Fix: Enforce concise sections (1-2 sentences, 2-4 bullets, no repeating)

Optimize: Cleaner system prompt with essential rules (~100 tokens)

Fix: Better cutoff for hallucinated conversations (Human:, H:, User:)

Fix: Explicit emoji format + concise Note section

Balance: Clearer format in prompt (~80 tokens)

Optimize: Compact system prompt (~50 tokens vs ~350)

Fix: Universal system prompt + clean leaked rules from output

ENHANCE: Refine crisis keyword detection and system prompt for improved user safety

ENHANCE: Implement hard-coded safety checks for crisis and violence responses

REFINE: Update system prompt for clarity and relevance