agent_action: Prompt-lab work item started
agent_action: Pinned repository checkout verified
agent_action: I’ll inspect the repo first to understand the agent stack and integration constrain...
command: /bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.lock'"' | head -200"
command: /bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.lock'"' | head -200"
command: /bin/bash -lc "rg -n \"agent|tool|search|retriev|openai|anthropic|langchain|llama|browser|web\" -S . -g '"'!*node_modules*'"' -g '"'!*.lock'"'"
command: /bin/bash -lc "rg -n \"agent|tool|search|retriev|openai|anthropic|langchain|llama|browser|web\" -S . -g '"'!*node_modules*'"' -g '"'!*.lock'"'"
command: /bin/bash -lc 'git status --short'
command: /bin/bash -lc 'git status --short'
agent_action: `rg` is not installed in this environment, so I’m falling back to `find`/`grep` and...
command: /bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -path './.agents' -prune -o -path './.codex' -prune -o -type f | sed 's#"'^./##'"' | head -250"
command: /bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -path './.agents' -prune -o -path './.codex' -prune -o -type f | sed 's#"'^./##'"' | head -250"
command: /bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -type f \\( -name '*.py' -o -name '*.ts' -o -name '*.tsx' -o -name '*.js' -o -name '*.json' -o -name '*.md' -o -name '*.toml' -o -name '*.yaml' -o -name '*.yml' \\) -print | xargs grep -nEi \"agent|tool|search|retriev|openai|anthropic|langchain|llama|browser|web\""
command: /bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -type f \\( -name '*.py' -o -name '*.ts' -o -name '*.tsx' -o -name '*.js' -o -name '*.json' -o -name '*.md' -o -name '*.toml' -o -name '*.yaml' -o -name '*.yml' \\) -print | xargs grep -nEi \"agent|tool|search|retriev|openai|anthropic|langchain|llama|browser|web\""
agent_action: The repo is a LlamaIndex RAG chatbot: local document ingestion, Chroma/vector retri...
command: /bin/bash -lc "sed -n '1,260p' rag_chatbot/core/engine/retriever.py"
command: /bin/bash -lc "sed -n '1,260p' rag_chatbot/core/engine/retriever.py"
command: /bin/bash -lc "sed -n '1,220p' rag_chatbot/core/engine/engine.py"
command: /bin/bash -lc "sed -n '1,220p' rag_chatbot/core/engine/engine.py"
command: /bin/bash -lc "sed -n '1,140p' pyproject.toml"
command: /bin/bash -lc "sed -n '1,140p' pyproject.toml"
command: /bin/bash -lc "sed -n '1,180p' rag_chatbot/setting/setting.py"
command: /bin/bash -lc "sed -n '1,180p' rag_chatbot/setting/setting.py"
command: /bin/bash -lc "sed -n '1,220p' rag_chatbot/pipeline.py"
command: /bin/bash -lc "sed -n '1,220p' rag_chatbot/pipeline.py"
agent_action: This codebase does not currently have tool-calling or web retrieval; it builds a `C...
command: /bin/bash -lc "sed -n '1,180p' README.md"
command: /bin/bash -lc "sed -n '1,180p' README.md"
command: /bin/bash -lc "sed -n '1,360p' rag_chatbot/ui/ui.py"
command: /bin/bash -lc "sed -n '1,360p' rag_chatbot/ui/ui.py"
command: /bin/bash -lc "find rag_chatbot -type f -name '*.py' -print | xargs grep -n \"class .*Engine\\|as_chat_engine\\|RetrieverTool\\|Tool\\|QueryEngineTool\\|FunctionTool\\|ReAct\\|OpenAIAgent\\|Agent\""
command: /bin/bash -lc "find rag_chatbot -type f -name '*.py' -print | xargs grep -n \"class .*Engine\\|as_chat_engine\\|RetrieverTool\\|Tool\\|QueryEngineTool\\|FunctionTool\\|ReAct\\|OpenAIAgent\\|Agent\""
search: managed web search retrieval API AI agents licensed content reputable sources Tavil...
search: Linkup Search API documentation high quality sources licensed content
url: https://docs.linkup.so/pages/documentation/endpoints/search/best-practices
url: https://you.com/docs/search/overview
search: site:docs.valyu.ai LlamaIndex Valyu integration
search: Exa search API docs neural search contents API LlamaIndex integration
url: https://docs.exa.ai/reference/livecrawling-contents
url: https://docs.linkup.so/pages/documentation/endpoints/search/best-practices
search: site:docs.valyu.ai data coverage licensed sources Valyu datasets proprietary source...
agent_action: I’ve got enough repo context and provider evidence. I’m checking exact line referen...
command: /bin/bash -lc "nl -ba rag_chatbot/core/engine/retriever.py | sed -n '1,220p'"
command: /bin/bash -lc "nl -ba rag_chatbot/core/engine/retriever.py | sed -n '1,220p'"
command: /bin/bash -lc "nl -ba rag_chatbot/pipeline.py | sed -n '1,140p'"
command: /bin/bash -lc "nl -ba rag_chatbot/pipeline.py | sed -n '1,140p'"
command: /bin/bash -lc "nl -ba rag_chatbot/core/engine/engine.py | sed -n '1,90p'"
command: /bin/bash -lc "nl -ba rag_chatbot/core/engine/engine.py | sed -n '1,90p'"
command: /bin/bash -lc "nl -ba rag_chatbot/setting/setting.py | sed -n '1,110p'"
command: /bin/bash -lc "nl -ba rag_chatbot/setting/setting.py | sed -n '1,110p'"
agent_action: **Provider** I’d choose **Valyu Search API**. This repo is a LlamaIndex RAG chatbot...
result: Selected unknown