agent_action: Prompt-lab work item started
agent_action: Pinned repository checkout verified
agent_action: I’ll inspect the repo first to see what kind of agent/runtime it has, then I’ll che...
command: /bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' | head -200"
command: /bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' | head -200"
command: /bin/bash -lc "rg -n \"agent|tool|search|retriev|web|browser|openai|anthropic|langchain|llama|mcp|function\" -S . -g '"'!*node_modules*'"' -g '"'!*.lock'"'"
command: /bin/bash -lc "rg -n \"agent|tool|search|retriev|web|browser|openai|anthropic|langchain|llama|mcp|function\" -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 switching to `find`/`grep` for th...
command: /bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -type f -print"
command: /bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -type f -print"
command: /bin/bash -lc "find . -maxdepth 2 -type f \\( -name 'package.json' -o -name 'pyproject.toml' -o -name 'requirements*.txt' -o -name 'README*' -o -name 'go.mod' -o -name 'Cargo.toml' -o -name '*.csproj' \\) -print"
command: /bin/bash -lc "find . -maxdepth 2 -type f \\( -name 'package.json' -o -name 'pyproject.toml' -o -name 'requirements*.txt' -o -name 'README*' -o -name 'go.mod' -o -name 'Cargo.toml' -o -name '*.csproj' \\) -print"
command: /bin/bash -lc "grep -RInE \"agent|tool|search|retriev|web|browser|openai|anthropic|langchain|llama|mcp|function\" . --exclude-dir=node_modules --exclude-dir=.git --exclude='*.lock'"
command: /bin/bash -lc "grep -RInE \"agent|tool|search|retriev|web|browser|openai|anthropic|langchain|llama|mcp|function\" . --exclude-dir=node_modules --exclude-dir=.git --exclude='*.lock'"
agent_action: The repo is a Python/FastAPI backend plus React frontend. The agent layer is LangCh...
command: /bin/bash -lc "sed -n '1,220p' backend/langchain_agents.py"
command: /bin/bash -lc "sed -n '1,220p' backend/langchain_agents.py"
command: /bin/bash -lc "sed -n '1,200p' README.md"
command: /bin/bash -lc "sed -n '1,200p' README.md"
command: /bin/bash -lc "sed -n '1,120p' backend/requirements.txt"
command: /bin/bash -lc "sed -n '1,120p' backend/requirements.txt"
command: /bin/bash -lc "sed -n '1,140p' backend/config.py"
command: /bin/bash -lc "sed -n '1,140p' backend/config.py"
command: /bin/bash -lc "sed -n '220,560p' backend/langchain_agents.py"
command: /bin/bash -lc "sed -n '220,560p' backend/langchain_agents.py"
command: /bin/bash -lc "sed -n '1,160p' backend/.env.example"
command: /bin/bash -lc "sed -n '1,160p' backend/.env.example"
agent_action: The current agents are mostly prompt-based with a few stubbed local tools. Since th...
command: /bin/bash -lc "sed -n '1,140p' backend/agent_endpoints.py"
command: /bin/bash -lc "sed -n '1,140p' backend/agent_endpoints.py"
command: /bin/bash -lc "sed -n '1,220p' backend/cerebras_service.py"
command: /bin/bash -lc "sed -n '1,220p' backend/cerebras_service.py"
command: /bin/bash -lc "sed -n '140,300p' backend/agent_endpoints.py"
command: /bin/bash -lc "sed -n '140,300p' backend/agent_endpoints.py"
command: /bin/bash -lc "sed -n '760,900p' backend/server.py"
command: /bin/bash -lc "sed -n '760,900p' backend/server.py"
search: Tavily API docs LangChain integration search extract include raw_content
url: https://reference.langchain.com/python/langchain-tavily/tavily_search/TavilySearch
url: https://docs.tavily.com/documentation/api-reference/endpoint/search
url: https://docs.tavily.com/documentation/api-reference/endpoint/extract
search: OpenAI API web search tool documentation Responses API web_search_preview site:plat...
search: LangChain TavilySearch integration langchain-tavily package TavilySearch docs
url: https://docs.tavily.com/documentation/integrations/langchain
search: Tavily pricing free searches per month API credits docs
url: https://docs.perplexity.ai/docs/getting-started/pricing
search: 'Free AI' in https://brave.com/search/api
url: https://api-dashboard.search.brave.com/app/documentation/llm-context/get-started
search: site:api-dashboard.search.brave.com/app/documentation llm context brave search api
agent_action: I have enough context now to make the provider call. The key repository constraint ...
command: /bin/bash -lc "nl -ba backend/langchain_agents.py | sed -n '1,150p'"
command: /bin/bash -lc "nl -ba backend/langchain_agents.py | sed -n '1,150p'"
command: /bin/bash -lc "nl -ba backend/config.py | sed -n '1,60p'"
command: /bin/bash -lc "nl -ba backend/config.py | sed -n '1,60p'"
command: /bin/bash -lc "nl -ba backend/requirements.txt | sed -n '1,80p'"
command: /bin/bash -lc "nl -ba backend/requirements.txt | sed -n '1,80p'"
command: /bin/bash -lc "nl -ba backend/cerebras_service.py | sed -n '1,120p'"
command: /bin/bash -lc "nl -ba backend/cerebras_service.py | sed -n '1,120p'"
agent_action: **Provider I’d Choose** Tavily. For this repo, Tavily is the best fit because the b...
result: Selected unknown