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* 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().