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13 daysfeat(executor): add DAG auto-cascade-fail + role-typed subtask spawning ↵Claude Sonnet 5
(Phase 6) Two prerequisites for safe parallel evaluator fan-out (later phase): 1. Auto-cascade-fail: previously, a failed task's dependents just sat PENDING/QUEUED forever (or until something eventually tried to dispatch them and discovered the dependency was dead). Pool.cascadeFail now fires right after a task lands in a terminal failure state (FAILED/TIMED_OUT/ CANCELLED/BUDGET_EXCEEDED, from handleRunResult, the budget-gate reject path, and the checkDepsReady dependency-failure path), recursively cancelling every not-yet-run dependent (PENDING/QUEUED only -- RUNNING and terminal states are left alone) with a message referencing the upstream failure. A visited-set guards recursion, which turned out to be load-bearing rather than defense-in-depth: task creation does not prevent dependency cycles anywhere in this codebase. Correction to an earlier assumption: internal/executor's waitForDependencies is dead code, never called. The live mechanism is checkDepsReady, invoked synchronously in execute() with a self-requeue via time.AfterFunc. Added a freshness re-check (GetTask, bail if no longer QUEUED) at the top of that block so a task cascade-cancelled while sitting in the requeue loop stops silently instead of hitting an invalid CANCELLED->CANCELLED transition or, worse, still getting dispatched. 2. storeChannel.SpawnSubtask hardcoded Agent.Type: "claude" on every spawned child regardless of what role it should play -- a hard blocker for a Planner/Builder task spawning role-typed evaluator subtasks. SubtaskSpec (internal/agentchannel) gains a Role field; when set, the child task gets Agent.Role instead of a hardcoded Type, so Phase 5's role-resolution picks provider/model from that role's escalation ladder. spec.Role == "" (every existing caller) preserves today's exact behavior byte-for-byte -- proven by an explicit regression test, not just new-feature coverage. Threaded the new `role` parameter through both spawn_subtask transports: the native tool-use loop (internal/agentloop/tools.go) and the MCP tool exposed to ContainerRunner-driven claude/gemini agents (internal/executor/agentmcp.go). go build/vet/test -race -count=1 all pass, full suite (20 packages). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs
14 daysrefactor(executor): extract provider-neutral tool-use loop (Phase 1)Claude Sonnet 5
Splits LocalRunner's OpenAI-specific agentic loop into reusable, provider- agnostic pieces so later phases can add native Anthropic/OpenAI/Google/Groq/ OpenRouter adapters without duplicating the control flow: - internal/provider: neutral Provider/ChatRequest/ChatResponse types, plus an openaicompat adapter wrapping the existing internal/llm.Client unchanged - internal/sandbox: Sandbox interface + HostSandbox (git clone/push/cleanup, read_file/write_file/run_bash/glob), lifted verbatim from local.go/localtools.go - internal/agentloop: the extracted tool-use loop (request/response/tool- dispatch/loop, ask_user blocking, stream-json envelope, summary fallback) - internal/agentchannel: AgentChannel/SubtaskSpec/BlockedError/ErrAgentBlocked moved out of internal/executor so agentloop can use them without an import cycle; internal/executor re-exports via type aliases, so no call site changes - internal/executor/nativerunner.go: NativeRunner replaces LocalRunner, wiring agentloop.Loop + openaicompat + HostSandbox together - config.Providers map[string]ProviderConfig added (unused until Phase 2+) Zero intended behavior change: go test -race ./... passes across all packages, and end-to-end stream-json/summary/changestats output was verified byte-compatible against a fake OpenAI-compatible server. Adds test coverage for sandbox tool-dispatch (git clone/push, read/write/bash/glob) that LocalRunner never had. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs