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Examples

Deterministic Demo Replay

python examples/demo_replay.py

The replay uses:

  • examples/demo_config/train.jsonl
  • examples/demo_config/test.jsonl
  • examples/demo_config/rubric.json
  • examples/demo_config/variants.json
  • examples/_demo_output.txt

It runs mini-antemortem-cli check through the package CLI entrypoint in text and JSON modes. The output is deterministic and compared against the committed fixture.

Direct CLI

mini-antemortem-cli check \
  --target-provider openai \
  --target-model gpt-4o \
  --judge-provider openai \
  --judge-model gpt-4o \
  --train examples/demo_config/train.jsonl \
  --test examples/demo_config/test.jsonl \
  --rubric examples/demo_config/rubric.json \
  --variants examples/demo_config/variants.json \
  --judge-output-budget small \
  --json

Expected behavior: at least one REAL finding and at least one GHOST finding. No API keys or network access are used.