agent_action: Prompt-lab work item started
agent_action: Pinned repository checkout verified
agent_action: I'll research the repository structure first to understand what this agent is and h...
agent_action: Read /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0
command: find /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0 -maxdepth 2 -type f -name "README*" -o -name "*.md" | head -20
command: ls -la /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0/ | head -30
agent_action: Read README.md
agent_action: Read pyproject.toml
command: ls -la /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0/rag_chatbot/
command: find /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0/rag_chatbot -type f -name "*.py" | head -20
command: ls -la /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0/rag_chatbot/core/
command: ls -la /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0/rag_chatbot/setting/
agent_action: Read rag_chatbot/setting/setting.py
agent_action: Read rag_chatbot/pipeline.py
agent_action: Read rag_chatbot/core/engine/engine.py
agent_action: Read rag_chatbot/core/engine/retriever.py
agent_action: Read rag_chatbot/core/model/model.py
command: find /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0 -type f -name ".env*" -o -name "config*" | head -10
command: find /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0 -type f \( -name "*.env" -o -name ".env.example" -o -name ".env*" \) 2>/dev/null
command: ls -la /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0/rag_chatbot/ui/
command: grep -r "http\|requests\|api\|search" /home/user/worktrees/attempt-aef0a877-8d67-4e74-81fd-10b35ad40877-cap-0/rag_chatbot --include="*.py" | grep -i "web\|search\|fetch\|api" | head -20
agent_action: Read rag_chatbot/ui/ui.py
agent_action: Read rag_chatbot/__main__.py
agent_action: Read rag_chatbot/core/embedding/embedding.py
agent_action: Repo understood: a LlamaIndex-based local RAG PDF chatbot (Ollama/OpenAI). Now I'll...
agent_action: I'll consult the actual documentation of the leading providers. Let me fetch the Ll...
url: https://docs.tavily.com/documentation/integrations/llamaindex
url: https://docs.exa.ai/reference/getting-started
url: https://brave.com/search/api/
agent_action: Tavily confirmed with official LlamaIndex tool spec. Let me fetch Exa's redirected ...
url: https://exa.ai/docs/reference/getting-started
url: https://docs.llamaindex.ai/en/stable/examples/tools/tavily_research/
search: Tavily vs Exa vs Brave Search API for LLM RAG agent grounding 2026 pricing free tie...
agent_action: I have enough to make a grounded recommendation. This is a research task, so here's...
result: Selected openai