This page tracks the benchmark runs we use to measure whether Roder is becoming more reliable and more capable. Full-suite scores are shown separately from targeted reruns and provider-validation subsets so the trend stays honest. These are development trajectory results, not final benchmark submissions.
Last updated 14 Jul, 01:05
85.4%theoretical pass-once score
+33passes since baseline
11fewer soft timeouts vs first run
59.6%latest clean full-suite run
Theoretical leaderboard context
If the codex-parity pass-once projection were compared directly against the current Terminal-Bench 2.1 leaderboard, its 85.4% figure would theoretically place around #1 of 13 entries, level with the top entry on the same model.
The 76/89 (85.4%) figure is a pass-once oracle union across several local codex-parity development runs on the same model as the top leaderboard entry (gpt-5.5 xhigh) — not a single verified run. Individual passing trials come from different local configs, some used access-token-only auth and a modified agent timeout multiplier, and 13 remaining tasks are still being confirmed after a Docker disk-pressure infra failure. It is published to show trajectory, not as a submittable Terminal-Bench leaderboard result.
#183.4%
Codex CLI with GPT-5.5 (xhigh)
Roder projection85.4%
Theoretical #1
#266.1%
Terminus 2 with Claude Opus 4.7
Full-suite trend
Points are clean full-suite runs; the final marker is the 85.4% pass-once projection on the codex-parity build.
Run history
Initial full GPT-5.5 medium run
full-suite
48.3%
43 passing tasks · 89 trials · codex/gpt-5.5 · medium · 24 May, 19:16
First clean full-suite score recorded in the current public dashboard.
Established the baseline for deadline, timeout, and score-improvement work.
Strict medium baseline
full-suite
52.8%
47 passing tasks · 89 trials · codex/gpt-5.5 · medium · 24 May, 23:46
Disabled speed-policy drift and removed disqualifying Docker task resource overrides.
Improved the baseline by four passes while keeping Harbor errors at zero.
Deadline and reliability full run
full-suite
56.2%
50 passing tasks · 89 trials · codex/gpt-5.5 · medium · 25 May, 03:05
Added deadline-aware command execution and graceful finalization paths.
Reached 50/89 on the full suite, a seven-pass lift from the initial baseline.
Clean one-attempt local development run over all 89 Terminal-Bench 2.1 tasks with Harbor 0.16.1, n-concurrent=4, codex/gpt-5.5, and reasoning=xhigh.
Harbor reported 53 reward-1 tasks, 36 reward-0 scored failures, and 0 exceptions; the analyzer reported no harness error classes.
This is intentionally not a submittable leaderboard run: it used a local access-token auth file, Roder soft_timeout_sec=780, and Harbor agent-timeout-multiplier=2.0 to keep adapter finalization inside Harbor's outer timeout.
Ran the codex-parity native-loop build against every task that had not yet passed once, to measure further conversions from the new tool surface.
Newly converted break-filter-js-from-html and db-wal-recovery cleanly (reward 1.0).
13 of 15 trials errored on Docker environment startup under local disk pressure (docker compose up --wait) rather than on task capability; they are being re-run serially with environment cleanup and are excluded from the pass count.
Full-suite detail
Run
Score
Lift
Soft timeouts
Policy blocks
Clean
Initial full GPT-5.5 medium run evals/reports/harbor/roder-tbench-full-gpt55-medium-analysis.json
48.3%
baseline
21 total, 17 failed
1
clean
Strict medium baseline evals/reports/harbor/roder-tbench-full-gpt55-medium-strict-analysis.json
52.8%
+4
13 total, 11 failed
5
clean
Deadline and reliability full run evals/reports/harbor/roder-tbench-full-gpt55-medium-deadline-reliability-analysis.json
56.2%
+3
11 total, 8 failed
6
clean
Terminal-Bench 2.1 xhigh full run evals/reports/harbor/roder-tbench-21-full-gpt55-xhigh-analysis.json
73%
+15
3 total, 2 failed
0
needs triage
Terminal-Bench 2.1 xhigh clean local run evals/reports/harbor/roder-tbench-21-full-gpt55-xhigh-local-clean-soft780-agentx2-accessauth-v1-analysis.json
59.6%
-12
10 total, 9 failed
1
clean
How to keep this current. Add each new Harbor analysis artifact tosrc/data/evalResults.ts with the suite, model, pass count, clean-run status, notable failure signals, and the report path. Full-suite runs appear in the trend chart; targeted and smoke runs stay in the history without being blended into the headline score.