feat(story,scheduler): add epic-proposal tool + AskUser-timeout escalation (Phase 7c)

2026-07-04T04:39:28+00:00

Two independent pieces, completing Phase 7. Epic-proposal tool: AgentChannel gains a 5th method, ProposeEpic(ctx, EpicProposal{Name, Description, StoryIDs}) (epicID, err), implemented on storeChannel -- matches an existing epic by exact name or creates one (DiscoverySource: "agent"), sets epic_id on each resolvable story (skips, doesn't fail, on an unresolved ID), emits KindEpicProposed attached to the epic's own ID with payload {epic_id, name, story_ids}. Wired into both transports exactly like Phase 6 wired role into spawn_subtask: a new propose_epic tool in the native tool-use loop (internal/agentloop/tools.go) and the MCP transport (internal/executor/agentmcp.go). This is the mechanism for a discovery/planner-role agent to act on its own judgment that several stories it's been given form one cohesive initiative -- the judgment itself lives in the calling agent's instructions/model, not in this code. AskUser-timeout escalation: extends the existing Scheduler (Phase 5's retry-then-escalate watcher) rather than adding a new component, since "stuck task needs escalation" is exactly what it already does. Finds role-typed BLOCKED tasks whose question has been outstanding longer than SchedulerConfig.AskUserTimeoutSeconds (default 10 minutes) using task.UpdatedAt as the outstanding-since timestamp -- no new column needed, since UpdateTaskQuestion already stamps it the instant a question is recorded and nothing else touches the row while BLOCKED. Resolves the next ladder tier from the latest execution's EscalationRung, records the system-authored fallback answer as an audit-trail task.Interaction, clears the question, sets the new tasks.needs_review flag, emits KindEscalated (now carrying a trigger field: "failure" vs "ask_user_timeout" for the existing failure-retry path vs this one), and resumes via Pool.SubmitResume at the escalated tier -- degrading to same-tier resume with final:true if the ladder's exhausted or no role config exists, since unblocking the task takes priority over having somewhere higher to escalate to. GET /api/tasks?needs_review=true surfaces auto-decided tasks for human review. go build/vet/test -race -count=1 all pass, full suite (20 packages), run twice to rule out flakiness in the new tests. (One pre-existing, unrelated test -- TestHandleRunTask_CascadesRetryToFailedDeps, a tempdir-cleanup race -- appeared once under full-suite load per the implementing agent's report and did not reproduce in this verification's runs either; not a regression from this work.) Co-Authored-By: Claude Sonnet 5 Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs

feat(role): add versioned role configs + escalation ladder + scheduler (Phase 5)

2026-07-03T23:01:50+00:00

Two parts: Part A (fixes a gap from Phase 1): Groq/OpenRouter/OpenAI were documented in docs/api-keys-setup.md as usable once configured, but nothing actually constructed runners for them. internal/cli/cloudrunners.go consolidates anthropic/google/groq/openrouter/openai NativeRunner construction into one table-driven registerCloudRunners() helper, replacing the two hand-written per-provider blocks in serve.go/run.go. Groq/OpenRouter/OpenAI reuse openaicompat (no new adapter code) at SandboxKind: "docker". Part B: the token-husbanding harness's core routing mechanism. - internal/role: RoleConfig/Tier/Rung -- a role's system prompt and a multi-tier (provider, model) escalation ladder, versioned via config_json. - storage: new role_configs table (draft/active/retired, UNIQUE(role, version)) with transactional activate-retires-prior-active semantics; new executions.escalation_rung column. - task.AgentConfig.Role string -- purely additive; every existing task shape (Agent.Role == "") is unaffected, proven by TestPool_Execute_NonRoleTask_Unaffected plus the full pre-existing suite passing unchanged. - executor.Pool.execute(): role-typed tasks with no Agent.Type yet resolve tier 0 of their active ladder (round-robin across multi-candidate tiers, skipping rate-limited providers, falling back to soonest-clearing) before the existing pickAgent/Classifier path runs; SystemPrompt applies to Agent.SystemPromptAppend. Already-resolved role tasks (scheduler resubmits) get their escalation_rung re-derived read-only via findTierIndex. - internal/scheduler: polls role-typed FAILED tasks, retries at the same rung under MaxRetries or escalates to the next tier's first candidate when budget.Accountant.Allow() permits (emitting event.KindEscalated), else leaves the task FAILED with a final:true KindEscalated event. An in-memory per-execution-ID "handled" set keeps the poll loop convergent. Started by `serve` only, config knob [scheduler].poll_interval_seconds. - internal/api: POST/GET /api/roles/{role}/versions, POST /api/roles/{role}/activate -- unauthenticated, matching the existing projects/tasks REST endpoints' auth posture (only chatbot MCP, agent MCP, and WebSocket are api_token-gated in this codebase today). Documented as stored-but-not-yet-enforced (CLAUDE.md Design Debt, matching how task.Priority/RetryConfig are already documented): RoleConfig.Tools/ SandboxKind don't affect dispatch yet; DefaultBudgetUSD is read narrowly as the scheduler's escalation cost estimate, not enforced at initial dispatch; scheduler escalation always targets Candidates[0] (no round-robin, unlike initial-dispatch tier-0 resolution); the scheduler's dedupe is per-process and resets on restart (idempotent, harmless). go build/vet/test -race -count=1 all pass, 21 packages. Co-Authored-By: Claude Sonnet 5 Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs

claudomator.git/internal/scheduler/scheduler.go, branch fix/dockersandbox-gitpush-host-security

feat(story,scheduler): add epic-proposal tool + AskUser-timeout escalation (Phase 7c)

feat(role): add versioned role configs + escalation ladder + scheduler (Phase 5)