This page preserves the pre-run plan and contract for the completed 2026-07-12
Ravage-only XBEN Run 3. The current result and immutable artifacts start at
XBEN Run 3 evidence. Historical
evidence under docs/xben-run-evidence/20260710/ remains unchanged.
The official 2026-07-10 second-run preflight resolved:
hosted-openaihighopenaigpt-5.4high was Ravage’s route tier; it was not evidence that OpenAI reasoning effort
was set to high.
Run 3 used eval/model_profiles.gpt-5.4-referee.yaml:
gpt-5.4-2026-03-05$2.50 per million tokens$0.25 per million tokens$15.00 per million tokensThe snapshot pinned the model behavior instead of relying on the moving
gpt-5.4 alias. Ravage recorded input, cached-input, output, per-request cost,
per-case cost, and total cost for the run.
The clean Run 3 worktree was pinned to:
repository: xbow-engineering/validation-benchmarks
commit: a16cb1ba0701b20d63913846536fc7b0672082af
worktree: /private/tmp/xbow-validation-benchmarks-run3-20260712
The XBEN compatibility layer currently patches some legacy build files before building. Public artifacts must therefore record both the source commit and the post-patch build-context digest. A dirty historical checkout must not be used as the source baseline.
The approved XBEN-001-24 validation canary completed on 2026-07-12:
1 / 1gpt-5.4-2026-03-05231,185 / 0 / 541$0.0860775273.962 secondsThe canary is validation evidence, not part of the official Run 3 score. It was executed before the final source freeze and therefore must not be mixed into the 104-case result.
Run 3 followed the valid input contract from the official second run:
black-box mode with the benchmark description visiblemapta-awe-xben comparison profile and ctf-free-roam agent modeflag_captured evidence1, Docker platform linux/amd64, tool runtime dockergpt-5.4-2026-03-05, reasoning effort unset, temperature 0This is MAPTA/AWE-style description-only evaluation. It is not a claim of
same-model parity: the external systems used different model configurations.
Run 2 used Ravage’s auto tool runtime, which executed most free-roam shell
actions on the host. Run 3 intentionally uses an immutable Docker tool image so
the agent cannot inspect the host checkout or Docker control plane. Each agent
tool session runs on a Docker-internal network and can reach only fixed
forwarders for the active scoped localhost ports; it has no general public
network route. Network setup, immutable image identity, and verified teardown
are retained as per-case evidence. This is a disclosed isolation hardening, not
a prompt or benchmark-hint change.
The archived second run recorded 18,181,800 input tokens and 367,677 output
tokens. Repricing those tokens at current standard non-cached rates gives
$50.969655; it is an estimate, not the historical invoice. Run 2’s $20
setting was not enforced because its model route had no prices.
Run 3 used a 32,000-token policy estimate for the input side of an unmatched
provider attempt because Run 2 contained calls above the old 12,000-token
estimate. This is not an enforced prompt-token ceiling. The resulting
theoretical 104-case estimate is $588.390400. The approved practical global
cap is $75; an in-flight response may cause a one-request overshoot. If a
request cannot be matched to accountable provider usage, the runner records an
estimated budget charge, marks exact cost unknown, stops immediately, and
finalizes the matrix as incomplete.
The planning template below used <TOOL_IMAGE_ID> as a placeholder. The exact
expanded command and immutable image ID are recorded in the published
third-run/preflight-source.json evidence.
PYTHONPATH=packages/ravage/src:packages/schemas/src \
.venv/bin/python -m ravage xben \
--benchmarks-root /private/tmp/xbow-validation-benchmarks-run3-20260712/benchmarks \
--output-dir /private/tmp/ravage-referee-gpt54-run3-full-20260712 \
--all \
--concurrency 1 \
--mode black-box \
--flag-mode exact \
--comparison-profile mapta-awe-xben \
--agent-mode ctf-free-roam \
--model-config eval/model_profiles.gpt-5.4-referee.yaml \
--model-profile referee-openai-gpt-5.4 \
--model-tier high \
--max-turns 40 \
--case-timeout-seconds 600 \
--max-model-requests-per-case 40 \
--input-token-ceiling-per-model-call 32000 \
--max-cost-usd 75 \
--min-free-gib 30 \
--allow-paid-models \
--require-clean-source \
--tool-runtime docker \
--tool-image <TOOL_IMAGE_ID> \
--docker-platform linux/amd64 \
--prune-case-images \
--operator-log-root /private/tmp/ravage-referee-gpt54-run3-full-20260712/operator-logs
The runtime checks cost after each model response and stops before starting the next turn once the cap is reached. The XBEN parent passes only the remaining run budget into each subsequent case. A provider request already in flight may cause a small one-request overshoot, so the cap is not a transactional billing guarantee. Any unmatched request stops the entire matrix rather than continuing with an unverifiable exact cost.
After the source commit and command are frozen, Run 3 is immutable. A failed,
errored, timed-out, or quota-error case remains in the result. Do not modify
code, change prompts, retry individual cases, use --resume, or replace rows
with diagnostic reruns. If a host-level interruption prevents the command
from producing all 104 terminal rows, label that artifact aborted; do not
silently combine it with another execution.