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AI USE CASES

How to have a different vendor's model judge your agent's behavior with iFixAi

Choose an independent judge so the agent is not grading its own homework.

Seen in the wild

Evidence: X, Oct 2026

Similar to what people reported. The steps and prompt below are AI written, not copied from those posts.

Who it is forTeam lead who does not trust a model to score its own output

The problemIf the same vendor's model both runs and grades the agent, blind spots can go unnoticed.

The outcomeAn audit graded by a separate vendor's judge (or a multi-judge ensemble), giving a more independent score.

What you need first

  • Python 3.10+
  • An API key for the model provider you want to test or to act as judge (the engine is free, model calls cost extra)
  • An agent or model endpoint to audit (any supported provider, or your agent's own HTTP endpoint)
  • Optional: uv, only for the zero-install skill route

Steps

  1. Install extras for both the tested and judge providers, e.g. pip install "ifixai[openai]"
  2. Run ifixai setup and pick a self, single independent vendor, or ensemble judge
  3. Run: ifixai run --dry-run to inspect the call estimate first
  4. Run: ifixai run and compare the scorecard to a self-graded run if you have one

Prompt for your agent

Use ifixai-ai/iFixAi to audit <my agent> with <vendor A> as the tested model and <vendor B> as the judge. Do a --dry-run first, then a full run, and note any category where the independent judge scored lower. Verify the judge vendor in the report matches what I chose.

Caveat. Using a second vendor means a second API key and added model-call cost on top of the tested model.

About iFixAi

An auditing tool that checks whether an AI agent is doing what it is supposed to do. Part of this week's top 10 repos: ranked #10 on Repo Radar. View ifixai-ai/iFixAi on GitHub.

More with iFixAi

See all use cases for ifixai-ai/iFixAi

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