agent_action: Prompt-lab work item started
agent_action: Pinned repository checkout verified
agent_action: I'll research the repository structure first to understand the architecture, then e...
command: find /home/user/worktrees/attempt-1848a91b-6965-4ead-9356-dc543f5120e4-cap-1 -type f -name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.json" -o -name "*.txt" -o -name "*.md" | head -100
command: ls -la /home/user/worktrees/attempt-1848a91b-6965-4ead-9356-dc543f5120e4-cap-1/
agent_action: Read README.md
command: find /home/user/worktrees/attempt-1848a91b-6965-4ead-9356-dc543f5120e4-cap-1/server -type f | sort
command: find /home/user/worktrees/attempt-1848a91b-6965-4ead-9356-dc543f5120e4-cap-1/client -type f | sort
agent_action: Read server/main.py
agent_action: Read server/modules/llm.py
agent_action: Read server/modules/vectorstore.py
agent_action: Read server/config.py
agent_action: Read client/main.py
agent_action: Read client/api_client.py
agent_action: Read server/modules/auth.py
agent_action: Read server/db/models.py
agent_action: Read requirements.server.txt
agent_action: Read requirements.client.txt
agent_action: Read client/config.py
agent_action: Read client/auth_utils.py
agent_action: Read server/db/database.py
agent_action: Read server/schemas/auth.py
agent_action: Read server/tests/test_hybrid_search.py
agent_action: Read compose.yaml
agent_action: Read Dockerfile.server
command: git -C /home/user/worktrees/attempt-1848a91b-6965-4ead-9356-dc543f5120e4-cap-1 log --oneline -15
command: grep -r "GROQ_API_KEY\|API_KEY\|requests.get\|requests.post" /home/user/worktrees/attempt-1848a91b-6965-4ead-9356-dc543f5120e4-cap-1 --include="*.py" 2>/dev/null
command: cat /home/user/worktrees/attempt-1848a91b-6965-4ead-9356-dc543f5120e4-cap-1/.env 2>/dev/null || echo "No .env file found"
agent_action: Read .gitignore
agent_action: Read Dockerfile.client
command: grep -r "from langchain\|from requests\|import requests" /home/user/worktrees/attempt-1848a91b-6965-4ead-9356-dc543f5120e4-cap-1 --include="*.py" | head -30
agent_action: The repo is a LangChain RAG system (Groq LLM, Chroma + BM25 hybrid retrieval). Now ...
agent_action: Now I'll consult the actual documentation of the top contenders for agent grounding...
url: https://docs.tavily.com/documentation/api-reference/endpoint/search
url: https://docs.exa.ai/reference/answer
url: https://docs.perplexity.ai/api-reference/chat-completions-post
agent_action: Let me fetch the Exa redirect and research independent accuracy benchmarks comparin...
url: https://exa.ai/docs/reference/answer
search: web search API for LLM agents accuracy benchmark comparison Tavily Exa Perplexity L...
agent_action: Let me read the Linkup benchmark (focused on hallucination/faithfulness) and verify...
url: https://www.linkup.so/blog/evaluating-ai-search-systems-on-complex-queries
search: langchain-tavily langchain-exa official LangChain retriever integration documentati...
agent_action: ## Recommendation: Tavily For this repo — a LangChain RAG (`server/modules/llm.py` ...
result: Selected unknown