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 '"'!*.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`/targeted rea...
command: /bin/bash -lc "find . -path './.git' -prune -o -path './node_modules' -prune -o -path './dist' -prune -o -path './build' -prune -o -type f -maxdepth 4 -print"
command: /bin/bash -lc "find . -path './.git' -prune -o -path './node_modules' -prune -o -path './dist' -prune -o -path './build' -prune -o -type f -maxdepth 4 -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 'Cargo.toml' -o -name 'go.mod' -o -name '.env.example' \\) -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 'Cargo.toml' -o -name 'go.mod' -o -name '.env.example' \\) -print"
agent_action: This is a compact Python repo, so I’m reading the agent entry points and configurat...
command: /bin/bash -lc "sed -n '1,260p' main.py"
command: /bin/bash -lc "sed -n '1,260p' main.py"
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 '1,260p' travel_planner.py"
command: /bin/bash -lc "sed -n '1,260p' travel_planner.py"
command: /bin/bash -lc "sed -n '1,260p' llm_client.py"
command: /bin/bash -lc "sed -n '1,260p' llm_client.py"
agent_action: The current app is an LLM-only travel planner: prompts ask for costs/tips, but ther...
command: /bin/bash -lc "sed -n '240,520p' llm_client.py"
command: /bin/bash -lc "sed -n '240,520p' llm_client.py"
command: /bin/bash -lc "sed -n '1,280p' prompts.py"
command: /bin/bash -lc "sed -n '1,280p' prompts.py"
command: /bin/bash -lc "sed -n '1,280p' config.py"
command: /bin/bash -lc "sed -n '1,280p' config.py"
command: /bin/bash -lc "sed -n '1,200p' .env.example && sed -n '1,160p' requirements.txt"
command: /bin/bash -lc "sed -n '1,200p' .env.example && sed -n '1,160p' requirements.txt"
search: Tavily API documentation search API topic news time_range days include_raw_content
url: https://docs.tavily.com/api-reference/endpoint/search
url: https://docs.tavily.com/api-reference/endpoint/search
search: Tavily API pricing credits search endpoint 2026
search: OpenAI API web search tool documentation current information citations
search: site:docs.anthropic.com web search tool API citations max_uses allowed_domains 2026...
url: https://tavilyai.mintlify.app/documentation/api-credits
url: https://ai.google.dev/gemini-api/docs/grounding?authuser=2
command: /bin/bash -lc "nl -ba config.py | sed -n '1,150p'"
command: /bin/bash -lc "nl -ba config.py | sed -n '1,150p'"
command: /bin/bash -lc "nl -ba travel_planner.py | sed -n '1,130p'"
command: /bin/bash -lc "nl -ba travel_planner.py | sed -n '1,130p'"
command: /bin/bash -lc "nl -ba prompts.py | sed -n '1,110p'"
command: /bin/bash -lc "nl -ba prompts.py | sed -n '1,110p'"
command: /bin/bash -lc "nl -ba llm_client.py | sed -n '1,180p'"
command: /bin/bash -lc "nl -ba llm_client.py | sed -n '1,180p'"
search: Anthropic web search tool docs web_search_20250305 site:docs.anthropic.com/en
agent_action: **Provider Choice** I’d choose **Tavily Search API** as the managed web-search/retr...
result: Selected unknown