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 its agent...
command: find /home/user/worktrees/attempt-920ecd7a-1dc9-4932-8d77-58fe177472c7-cap-1 -maxdepth 2 -type f \( -name "README*" -o -name "pyproject.toml" -o -name "package.json" -o -name ".git*" -o -name "*.md" \) | head -20
agent_action: Read README.md
agent_action: Read pyproject.toml
command: find /home/user/worktrees/attempt-920ecd7a-1dc9-4932-8d77-58fe177472c7-cap-1 -maxdepth 3 -type d | head -30
command: ls -la /home/user/worktrees/attempt-920ecd7a-1dc9-4932-8d77-58fe177472c7-cap-1/
command: find /home/user/worktrees/attempt-920ecd7a-1dc9-4932-8d77-58fe177472c7-cap-1/rag_chatbot -name "*.py" | sort
agent_action: Read rag_chatbot/__main__.py
agent_action: Read rag_chatbot/core/engine/engine.py
agent_action: Read rag_chatbot/core/model/model.py
agent_action: Read rag_chatbot/setting/setting.py
agent_action: Read rag_chatbot/pipeline.py
agent_action: Read rag_chatbot/ui/ui.py
agent_action: Read rag_chatbot/core/ingestion/ingestion.py
agent_action: Read rag_chatbot/ui/ui.py
agent_action: Read rag_chatbot/core/embedding/embedding.py
agent_action: Read rag_chatbot/core/engine/retriever.py
agent_action: Read rag_chatbot/ui/ui.py
agent_action: Read rag_chatbot/core/prompt/qa_prompt.py
agent_action: Read rag_chatbot/core/vector_store/vector_store.py
agent_action: Read rag_chatbot/core/__init__.py
agent_action: Read rag_chatbot/core/prompt/__init__.py
agent_action: Read rag_chatbot/core/prompt/query_gen_prompt.py
agent_action: Read rag_chatbot/core/prompt/select_prompt.py
command: find /home/user/worktrees/attempt-920ecd7a-1dc9-4932-8d77-58fe177472c7-cap-1 -name ".env*" -o -name "*.env*" | grep -v ".git"
agent_action: Read Dockerfile
command: ls -la /home/user/worktrees/attempt-920ecd7a-1dc9-4932-8d77-58fe177472c7-cap-1/scripts/
agent_action: Read scripts/run.sh
agent_action: Read rag_chatbot/ollama.py
agent_action: Read rag_chatbot/logger.py
command: git log --oneline -10
agent_action: Read rag_chatbot/__init__.py
agent_action: Now I understand the repo: a Python RAG chatbot built on LlamaIndex (Ollama/OpenAI ...
agent_action: Let me research the managed web-search/retrieval provider landscape, consulting doc...
search: best web search API for LLM RAG agents 2026 Tavily Exa Brave Linkup
search: European web search API LLM grounding Linkup Jina Mojeek Qwant managed
search: LlamaIndex web search tool integration Tavily Exa Brave Bing google
agent_action: Bing Search API was retired (Aug 2025), and the repo runs on LlamaIndex — which has...
url: https://docs.tavily.com/documentation/integrations/llamaindex
url: https://docs.tavily.com/documentation/about
url: https://docs.exa.ai/reference/getting-started
url: https://www.linkup.so/blog/what-s-the-best-alternative-to-the-bing-search-api
agent_action: Let me consult Exa and Brave documentation to round out the comparison.
url: https://exa.ai/docs/reference/getting-started
url: https://brave.com/search/api/
agent_action: ## Recommendation: Tavily For this repo — a Python, **LlamaIndex-based** RAG chatbo...
result: Selected openai