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diagnostic
by ifixai-ai
Provider-agnostic 32-test diagnostic for AI misalignment with reproducible manifests
Python
Updated Jul 26, 2026
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What It Does
Runs a 32-test diagnostic suite for AI misalignment, covering fabrication, deception, manipulation, unpredictability, and opacity. Executes provider-agnostic checks against OpenAI, Anthropic, Bedrock, Azure, Gemini and more, then returns a letter grade and a content-addressed manifests for bit-identical replay. Designed to be fast (grades in under 5 minutes) and reproducible via its content-addressed manifests and iMe-powered backend.
Why It Matters
As LLMs and agent systems are deployed, quick, reproducible assessments of misalignment vectors are essential for trust and governance. Diagnostic gives teams a repeatable baseline to detect hallucination, prompt-injection, manipulation, and other failure modes across providers. That visibility helps integrate reputation and evaluation signals into agent track records and continuous assessment pipelines.
Ideal For
Security, governance, and MLOps teams who need a quick, reproducible check of model misalignment across multiple providers before deployment.
How It's Used
- Run a quick pre-deployment misalignment checklist across multiple LLM providers
- Reproduce and audit failing behaviors using content-addressed manifests for bit-identical replay
- Integrate routine checks into CI/CD or governance pipelines to track model quality over time
Works With
openaianthropicaws-bedrockazuregoogle-geminiime
Topics
agent-evaluationaiai-alignmentai-evaluationai-governanceai-safetyclidiagnostic-tooleu-ai-acthallucination-detection+10 more
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Keywords
llm-evaluationai-alignmentagent-evaluationagent-reliability