urgent_issues — output mode, zero LLM
- No
solver+ anoutputmap = structured JSON on stdout, zero inference, sub-second after the tool call. - As a plan tool in chat, the agent receives the raw data — it can then reason over actual issue objects rather than a prose summary.
- The typed splice does the heavy lifting:
"{{E0.issues}}"is a real JSON array in the output,"{{E0.issues.length}}"a real number.
Recipe: fixtures + overrides
Check in the base inputs, override per run — the document is the base,--input layers on top:
Recipe: branch on outcomes
Exit codes separate “the data says act” from “the run broke” (full table):Recipe: silent action plan
A plan with no solver and no output performs side effects and exits — e.g. file a Linear issue for every failing canary from an exec tool’s output. Zero inference, fully deterministic, reviewable in the PR that adds the plan file.Concurrency note
Storage is safe under concurrent processes; useGRAPH_STORAGE=memory when a job should leave no state behind.