agent_action: Prompt-lab work item started
agent_action: Pinned repository checkout verified
agent_action: I’ll inspect the repository first to understand the agent architecture and extensio...
command: /bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' -g '"'!*.lock'"'"
command: /bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' -g '"'!*.lock'"'"
command: /bin/bash -lc 'git status --short'
command: /bin/bash -lc 'git status --short'
agent_action: `rg` is not installed in this workspace, so I’m falling back to `find` and targeted...
command: /bin/bash -lc "find . -path './.git' -prune -o -path './node_modules' -prune -o -path './.next' -prune -o -path './dist' -prune -o -path './build' -prune -o -type f -print"
command: /bin/bash -lc "find . -path './.git' -prune -o -path './node_modules' -prune -o -path './.next' -prune -o -path './dist' -prune -o -path './build' -prune -o -type f -print"
command: /bin/bash -lc "find . -maxdepth 3 -type f \\( -name 'package.json' -o -name 'pyproject.toml' -o -name 'requirements*.txt' -o -name 'README*' -o -name 'Cargo.toml' -o -name 'go.mod' -o -name 'tsconfig*.json' -o -name '.env*' \\) -print"
command: /bin/bash -lc "find . -maxdepth 3 -type f \\( -name 'package.json' -o -name 'pyproject.toml' -o -name 'requirements*.txt' -o -name 'README*' -o -name 'Cargo.toml' -o -name 'go.mod' -o -name 'tsconfig*.json' -o -name '.env*' \\) -print"
agent_action: I’ve found a compact Python RAG app rather than a broad agent framework. Next I’m r...
command: /bin/bash -lc "sed -n '1,240p' README.md"
command: /bin/bash -lc "sed -n '1,240p' README.md"
command: /bin/bash -lc "sed -n '1,240p' pyproject.toml"
command: /bin/bash -lc "sed -n '1,240p' pyproject.toml"
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 '1,260p' rag_chatbot/pipeline.py"
command: /bin/bash -lc "sed -n '1,260p' rag_chatbot/pipeline.py"
agent_action: The app already uses LlamaIndex retrievers over uploaded PDFs, with a `LocalRetriev...
command: /bin/bash -lc "sed -n '1,260p' rag_chatbot/core/prompt/qa_prompt.py"
command: /bin/bash -lc "sed -n '1,260p' rag_chatbot/core/prompt/qa_prompt.py"
command: /bin/bash -lc "sed -n '1,280p' rag_chatbot/core/engine/engine.py"
command: /bin/bash -lc "sed -n '1,280p' rag_chatbot/core/engine/engine.py"
command: /bin/bash -lc "sed -n '1,280p' rag_chatbot/setting/setting.py"
command: /bin/bash -lc "sed -n '1,280p' rag_chatbot/ui/ui.py"
command: /bin/bash -lc "sed -n '1,280p' rag_chatbot/setting/setting.py"
command: /bin/bash -lc "sed -n '1,280p' rag_chatbot/ui/ui.py"
agent_action: I’m going to verify the provider landscape from current docs now. The shortlist is ...
search: Tavily API official documentation search endpoint include answer raw_content citations
agent_action: I’m including OpenAI’s hosted web search as a finalist because this repo already ha...
command: /bin/bash -lc "sed -n '1,220p' /home/user/.codex/skills/.system/openai-docs/SKILL.md"
command: /bin/bash -lc "sed -n '1,220p' /home/user/.codex/skills/.system/openai-docs/SKILL.md"
search: site:platform.openai.com/docs web search tool Responses API official docs
url: https://platform.openai.com/docs/api-reference/responses/compact?api-mode=responses
search: Tavily search API reference include_raw_content official docs
url: https://docs.tavily.com/documentation/api-reference/endpoint/search
search: 'raw_content' in https://docs.tavily.com/documentation/api-reference/endpoint/search
search: LlamaIndex TavilyToolSpec official docs Tavily search tool
url: https://api-dashboard.search.brave.com/api-reference/summarizer/llm_context/get
search: Tavily API pricing official credits free plan docs
agent_action: The docs check changed the tradeoff a bit: Brave now has a dedicated LLM Context en...
command: /bin/bash -lc "nl -ba pyproject.toml | sed -n '1,80p'"
command: /bin/bash -lc "nl -ba pyproject.toml | sed -n '1,80p'"
command: /bin/bash -lc "nl -ba rag_chatbot/pipeline.py | sed -n '1,170p'"
command: /bin/bash -lc "nl -ba rag_chatbot/pipeline.py | sed -n '1,170p'"
command: /bin/bash -lc "nl -ba rag_chatbot/core/engine/engine.py | sed -n '1,140p'"
command: /bin/bash -lc "nl -ba rag_chatbot/core/engine/engine.py | sed -n '1,140p'"
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'"
agent_action: I have enough to make the recommendation. I’m not editing the repo in this turn bec...
agent_action: **Provider I’d Choose** I’d choose **Tavily Search API** for this repository. This ...
result: Selected unknown