Diagnose Your Agent's Production Behavior

This skill is a production diagnostician. It reads the real traffic, not the code, and answers: what is my agent actually doing out there, where is it failing, who is it annoying, and where is the money going. It is read-only on the platform: the only thing it writes is a report file.

Step 1: Set up the LangWatch CLI

Use langwatch docs <path> to read documentation as Markdown. Some useful entry points:

langwatch docs                                    # Docs index
langwatch docs integration/python/guide           # Python integration
langwatch docs integration/typescript/guide       # TypeScript integration
langwatch docs prompt-management/cli              # Prompts CLI
langwatch scenario-docs                           # Scenario docs index

Discover commands with langwatch --help and langwatch <subcommand> --help. List and get commands accept --format json for machine-readable output. Every list command takes --limit <n> to cap the rows and --jq <expr> to read part of the answer. A paginated list answers with an envelope, so count its rows through the row array (--jq '.traces | length'), and read how many there are in all at .pagination.total. Bare --jq length counts the fields of the envelope, not the rows. Read the docs first instead of guessing SDK APIs or CLI flags.

If no shell is available, fetch the same Markdown over plain HTTP. Append .md to any docs path (e.g. https://langwatch.ai/docs/integration/python/guide.md). Index: https://langwatch.ai/docs/llms.txt. Scenario index: https://langwatch.ai/scenario/llms.txt