* feat: deterministic eval graders (AGI SDK + WebArena-Infinity) (#664)
* feat: add deterministic eval graders (AGI SDK + WebArena-Infinity)
Two new benchmark integrations with programmatic grading — no LLM judge.
AGI SDK / REAL Bench (52 tasks):
- 11 React/Next.js clones of consumer apps (DoorDash, Amazon, Gmail, etc.)
- Grader navigates browser to /finish, extracts state diff from <pre> tag
- Python verifier checks exact values via jmespath queries
WebArena-Infinity (50 hard tasks):
- 13 LLM-generated SaaS clones (Gmail, GitLab, Linear, Figma, etc.)
- InfinityAppManager starts fresh app server per task per worker
- Python verifier calls /api/state and asserts on JSON state
Infrastructure:
- GraderInput extended with mcpUrl + infinityAppUrl for parallel workers
- Each worker gets isolated ports (no cross-worker state contamination)
- CI workflow: pip install agisdk, clone webarena-infinity repo
* chore: switch eval configs back to kimi-k2p5
* fix: register deterministic graders in pass rate calculation
Add agisdk_state_diff and infinity_state to PASS_FAIL_GRADER_ORDER
in both runner types and weekly report script, so scores show correctly
in the dashboard.
* chore: temp switch to opus 4.6 for eval run
* chore: restore kimi-k2p5 as default eval config
* ci: add timeout and continue-on-error for trend report step
* fix(eval): drop omnizon from AGISDK dataset (DMCA takedown)
evals-omnizon.vercel.app returns HTTP 451 ("This content has been
blocked for legal reasons / DMCA_TAKEDOWN"). All 5 omnizon-* tasks
fail grading with "Failed to fetch /finish endpoint: JSON Parse error".
Adds an EXCLUDED_WEBSITES set to the dataset builder and regenerates
agisdk-real.jsonl (52 → 47 tasks).
* fix(eval): correct Infinity port-assignment bugs
Two related bugs in the Infinity eval runner that cause silent port
collisions / fallbacks under parallel execution:
1. build-infinity-dataset.py emitted "app_port" but task-executor and
the committed JSONL both read "app_base_port". Re-running the build
script would silently make every task fall back to the 8000 default,
ignoring per-app port assignments. Renamed the key to match.
2. task-executor derived workerIndex as `base_server_port - 9110`, but
parallel-executor doesn't override base_server_port per worker —
only server_url. Every worker computed workerIndex = 0, causing all
parallel workers to spawn Infinity app servers on the same port.
Threading workerIndex explicitly through TaskExecutor instead.
Also drops an unused app_name parameter from load_tasks().
