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How to trace each request's cost and route, then replay it on another upstream with Think Watch Lite

See which upstream served a request, what it cost, and compare the answer with a replay on a different upstream.

Who it is forA user who runs the same model through several upstreams and wants to know which one is cheaper or more reliable.

The problemWithout a record of routes and costs, it is hard to tell which upstream answered a request or whether a price is accurate.

The outcomeEach request shows the rule it matched, the upstreams it tried, format conversions and its cost, and a finished request can be replayed side by side on another upstream.

What you need first

  • A supported computer: macOS 12 or later on Apple silicon, Windows 10 21H2 or later, or a Linux x86_64 or aarch64 machine
  • At least one upstream you already have access to, such as an API key, a relay, or a local model
  • The AI client you want to connect, such as Claude Code or Codex, already installed

Steps

  1. Install the app and route your client through the gateway.
  2. Add two or more upstreams that serve the same model.
  3. Send a few requests from the client and open the request history.
  4. Pick a finished request and replay it against a different upstream.
  5. Compare the two answers and costs side by side, noting that estimated amounts are marked.

Prompt for your agent

Using the repo ThinkWatchProject/ThinkWatch-Lite, send one prompt through the upstream <upstream A> and replay it on <upstream B>, then report both costs and whether each cost is marked as estimated. Expected output: a side-by-side comparison of the two answers and costs. Verify that requests without a price are counted separately, not as zero.

Caveat. The README says requests without a known price are counted separately instead of as zero, so totals may not cover every request.

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