agent_action: Prompt-lab work item started
agent_action: Pinned repository checkout verified
agent_action: I'll research the repository first to understand its architecture and how the agent...
command: find /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0 -type f -name "README*" -o -name "pyproject.toml" -o -name "package.json" | head -20
agent_action: Read README.md
agent_action: Read pyproject.toml
command: find /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0 -type f -name "*.py" | grep -E "(main|agent|chat|core)" | head -20
command: ls -la /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0/
agent_action: Read rag_chatbot/__main__.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-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0 -name "setting.py" -o -name "settings.py" | head -5
agent_action: Read rag_chatbot/setting/setting.py
command: find /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0 -name "*.py" -type f | xargs grep -l "class.*Pipeline" | head -5
agent_action: Read rag_chatbot/pipeline.py
command: find /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0 -name "ui.py" -o -name "ingestion.py" | head -5
agent_action: Read rag_chatbot/ui/ui.py
agent_action: Read rag_chatbot/core/embedding/embedding.py
command: find /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0 -type f -name "*.py" | wc -l && tree -L 3 -I '__pycache__|*.pyc' /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0/rag_chatbot/ 2>/dev/null | head -50
command: ls -la /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0/rag_chatbot/core/ && ls -la /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0/rag_chatbot/
command: ls -la /home/user/worktrees/attempt-69933a1c-261e-4ff0-bb90-2400d1d092a4-cap-0/rag_chatbot/core/engine/
agent_action: Read rag_chatbot/core/__init__.py
agent_action: Read rag_chatbot/core/ingestion/ingestion.py
agent_action: The repo is a LlamaIndex-based local RAG chatbot (Ollama/OpenAI) using hybrid BM25+...
agent_action: Let me consult the official docs for the top finalists in parallel: Tavily, Exa, Br...
url: https://docs.tavily.com/documentation/api-reference/endpoint/search
url: https://docs.exa.ai/reference/getting-started
url: https://api-dashboard.search.brave.com/app/documentation/web-search/get-started
url: https://docs.linkup.so/pages/get-started/introduction
agent_action: I'll fetch the redirected Exa docs and the corrected Linkup docs, plus verify the L...
url: https://exa.ai/docs/reference/getting-started
url: https://docs.llamaindex.ai/en/stable/api_reference/tools/tavily_research/
url: https://www.tavily.com/#pricing
agent_action: Let me confirm the LlamaIndex Tavily integration and Exa pricing/integration to fin...
url: https://developers.llamaindex.ai/python/framework-api-reference/tools/tavily_research/
url: https://exa.ai/docs/reference/pricing
search: Tavily API free tier monthly credits pricing 2026 vs Exa free credits
agent_action: ## Recommendation: Tavily For this repo — a LlamaIndex-based RAG chatbot (`rag_chat...
result: Selected openai