[
  {
    "id": "learned_compression_context_pack_fixture",
    "prompt": "Fixture-only synthetic learned-compression task. Review a sanitized context-pack summary and answer which source file should be inspected next. No learned compressor, latent-context helper, or provider call is executed by this fixture; future real runs must record provider-measured tokens/costs for matched successful tasks.",
    "model": "sonnet",
    "effort": "medium",
    "max_turns": 3,
    "max_budget_usd": 1.0,
    "allowed_tools": [],
    "success_command": "python3 -c \"raise SystemExit('fixture-only placeholder: replace success_command before real benchmark runs')\"",
    "success_cwd": ".",
    "variant_prompt_files": {
      "baseline_uncompressed_fixture": "learned-compression-baseline-context-pack.prompt.example.md",
      "fixture_only_learned_compression_candidate": "learned-compression-candidate-digest.prompt.example.md"
    }
  },
  {
    "id": "learned_compression_artifact_digest_fixture",
    "prompt": "Fixture-only synthetic learned-compression task. Compare a baseline artifact digest with a compressed digest candidate and state whether required evidence is still retrievable. Real claims need matched successful baseline and variant runs, failure-rate guardrail, human corrections, shifted-cost accounting, and provider-measured primary token/cost fields.",
    "model": "sonnet",
    "effort": "medium",
    "max_turns": 3,
    "max_budget_usd": 1.0,
    "allowed_tools": [],
    "success_command": "python3 -c \"raise SystemExit('fixture-only placeholder: replace success_command before real benchmark runs')\"",
    "success_cwd": "."
  }
]