Authorization notice. iFixAi is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.
Credentials. Two provider keys are needed, and both will be used for paid API calls, so restrict them to the audit account.
Who it is forA team lead who needs an audit result to show a customer, auditor, or internal review board.
The problemA grade where the agent grades itself is not credible evidence of how it behaves.
The outcomeA report in ./ifixai-results/ where a different vendor's judge graded your agent, making the grade citable.
What you need first
- Python 3.10 or newer, with pip (or uv for the zero-install paths)
- An API key for the model or agent you want to test
- A second API key from a different vendor if you want a citable grade (the judge)
- A terminal, or an agent such as Claude Code or Codex that can install a plugin
Steps
- Run
pip install "ifixai[anthropic,openai]"to install the SDKs for both the agent and the judge. - Export
ANTHROPIC_API_KEYfor the agent under test andOPENAI_API_KEYfor the judge. - Run
ifixai run --provider anthropic --api-key "$ANTHROPIC_API_KEY" --fixture ./my-fixture.yaml. - Check the report to confirm the judge came from a different provider than the agent under test.
Prompt for your agent
Use the iFixAi repo at ifixai-ai/iFixAi to produce a citable grade for <agent provider> using a judge from a different vendor and my fixture at <fixture path>. Verify in the report that the judge provider differs from the agent provider and that the run is not flagged as self-judged before you report the grade.
Caveat. Without your own fixture, the bundled default seeds defects on purpose, so its failures will appear on your scorecard unless you pass --fixture.
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