pip install trustevalRun an LLM evaluation.
trusteval evaluate \
--provider openai \
--model gpt-4 \
--industry healthcare \
--pillars bias,hallucination,pii,toxicity \
--output report.pdf \
--verboseOptions:
--provider— LLM provider (openai, anthropic, gemini, huggingface)--model— Model name--industry— Industry module (healthcare, bfsi, retail, legal)--pillars— Comma-separated pillar list (default: all)--output— Output report path--prompt— Single prompt for quick evaluation--verbose— Enable verbose output
Compare two models side-by-side.
trusteval compare \
--provider-a openai --model-a gpt-4 \
--provider-b anthropic --model-b claude-3-opus \
--industry healthcaretrusteval providers list # List all supported providers
trusteval providers test --provider openai # Test connectivity
trusteval providers configure --provider openai # Configure API keytrusteval report generate \
--input results.json \
--format pdf \
--output audit-report.pdftrusteval dashboard start # Launch with browser
trusteval dashboard start --port 8080 --no-browsertrusteval config set industry healthcare
trusteval config show
trusteval config reset