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 how external tools ar...
command: /bin/bash -lc 'pwd && rg --files'
command: /bin/bash -lc 'pwd && rg --files'
command: /bin/bash -lc 'git status --short'
command: /bin/bash -lc 'git status --short'
agent_action: `rg` is not installed in this container, so I’m falling back to `find` and targeted...
command: /bin/bash -lc "find . -maxdepth 3 -type f | sed 's#"'^./##'"' | sort | head -300"
command: /bin/bash -lc "find . -maxdepth 3 -type f | sed 's#"'^./##'"' | sort | head -300"
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 'pom.xml' -o -name 'build.gradle' \\) -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 'pom.xml' -o -name 'build.gradle' \\) -print"
agent_action: The repo is a compact Python travel assistant rather than a larger agent framework....
command: /bin/bash -lc "sed -n '1,260p' README_NEW.md"
command: /bin/bash -lc "sed -n '1,260p' README_NEW.md"
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' requirements.txt"
command: /bin/bash -lc "sed -n '1,240p' requirements.txt"
command: /bin/bash -lc "sed -n '1,240p' config.py"
command: /bin/bash -lc "sed -n '1,240p' config.py"
agent_action: The current design already has a provider enum, `.env` configuration, a central LLM...
command: /bin/bash -lc "sed -n '1,320p' llm_client.py"
command: /bin/bash -lc "sed -n '1,320p' llm_client.py"
command: /bin/bash -lc "sed -n '1,260p' prompts.py"
command: /bin/bash -lc "sed -n '1,260p' prompts.py"
command: /bin/bash -lc "sed -n '1,320p' travel_planner.py"
command: /bin/bash -lc "sed -n '1,320p' travel_planner.py"
command: /bin/bash -lc "sed -n '1,300p' main.py"
command: /bin/bash -lc "sed -n '1,300p' main.py"
agent_action: The key repository constraint is that generated travel answers currently come from ...
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 '260,520p' prompts.py"
command: /bin/bash -lc "sed -n '260,520p' prompts.py"
command: /bin/bash -lc "sed -n '1,220p' .env.example"
command: /bin/bash -lc "sed -n '1,220p' .env.example"
command: /bin/bash -lc "find . -maxdepth 3 -type f -name '*test*' -o -name 'pytest.ini' -o -name 'tox.ini'"
command: /bin/bash -lc "find . -maxdepth 3 -type f -name '*test*' -o -name 'pytest.ini' -o -name 'tox.ini'"
search: Tavily API documentation search extract citations AI agents
search: SerpApi API documentation Google Search API organic_results snippet link pricing
url: https://docs.tavily.com/documentation/api-reference/endpoint/search
search: 'include_answer' in https://docs.tavily.com/documentation/api-reference/endpoint/se...
search: Tavily Extract API documentation cleaned parsed HTML markdown text
search: site:docs.tavily.com pricing credits Tavily API basic advanced search credit
search: Exa API pricing search contents credits official documentation
url: https://api-dashboard.search.brave.com/app/documentation/web-search/get-started
agent_action: I have enough repo context and am checking exact line references now. The recommend...
command: /bin/bash -lc "nl -ba config.py | sed -n '1,170p'"
command: /bin/bash -lc "nl -ba config.py | sed -n '1,170p'"
command: /bin/bash -lc "nl -ba travel_planner.py | sed -n '1,160p'"
command: /bin/bash -lc "nl -ba travel_planner.py | sed -n '1,160p'"
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'"
command: /bin/bash -lc "nl -ba prompts.py | sed -n '1,120p'"
command: /bin/bash -lc "nl -ba prompts.py | sed -n '1,120p'"
agent_action: No code changes are needed for this recommendation pass. I’m going to summarize the...
agent_action: **Provider I’d choose:** **Tavily** This repo is a Python travel-planning agent wit...
result: Selected openai