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12 daysfeat(story,role): add retro ceremony -- closes the self-improvement loop ↵Claude Sonnet 5
(Phase 8) The final mechanism the versioned role-config model (Phase 5) was built for: when a story reaches DONE, StoryOrchestrator spawns a retro-role task that reflects on the story's full history and proposes draft role_configs versions for a human to review and activate via the existing (unchanged) POST /api/roles/{role}/activate. - AgentChannel gains a 6th method, ProposeRoleConfig(ctx, role.RoleConfig) (version, err), following ProposeEpic's precedent (Phase 7c): a structured tool call, not summary-parsing. storeChannel.ProposeRoleConfig calls the same Store.CreateRoleConfig the human-facing POST /api/roles/{role}/versions endpoint already uses (proposed_by: "retro"), landing a new draft row without touching whatever's currently active. Wired through both transports exactly like ProposeEpic: internal/agentloop/tools.go (native loop) and internal/executor/agentmcp.go (MCP). - StoryOrchestrator.Tick now routes a story at status DONE to a new processRetro stage instead of processStory -- a sibling stage, not a continuation, since the Builder->Evaluators->Arbitration chain is long settled by then. processRetro only *reads* that settled pipeline (read-only findEvaluators/findArbitration counterparts to ensureEvaluators/ensureArbitration -- it never spawns/mutates Builder-pipeline tasks) to locate the Arbitration task the retro task depends on, then spawns (idempotently -- checks for an existing retro-role dependent first) one retro-role task with instructions assembled from the story's spec/acceptance-criteria, full task tree, per- task cost/escalation history, active role_configs per role encountered, and the story's own event stream (evaluator verdicts, arbitration decision). - event.KindRetroCaptured (attached to the story's ID, matching KindEvalVerdict/KindArbitrationDecided's convention) fires once the retro task completes (auto-accepted like every other pipeline task), aggregating every event.KindRoleConfigProposed the retro task recorded (one per propose_role_config call) into {task_id, proposals: [{role, version}], summary} -- the summary is the "capturing lessons" half of this ceremony, the proposals are the versioned-config half. - Human activation is completely untouched: drafts land through the identical CreateRoleConfig/config_json path Phase 5's endpoints already handle, confirmed via existing role-endpoint tests passing unmodified. go build/vet/test -race -count=1 all pass, full suite (20 packages) -- one run hit a known, pre-existing, intermittent flake under full-suite load (unrelated to this phase's files) that did not reproduce on two immediate reruns, both in isolation and full-suite. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs
13 daysfeat(story,scheduler): add epic-proposal tool + AskUser-timeout escalation ↵Claude Sonnet 5
(Phase 7c) 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 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01V1moSNCJRcP6kykA4tyUSs
2026-05-26test(spike): manual agent-MCP validation harness + Phase 2 validation findingsClaude
Adds cmd/spike, a manual (never run by CI) harness that starts the agent MCP server on the host and points a real agent CLI at it to confirm tool calls reach the AgentChannel. Validates Phase 2 end-to-end without Docker. Findings against real claude 2.1.150 (sonnet-4-6): - PASS: claude discovers the server via --mcp-config (streamable HTTP + bearer) and calls record_progress + report_summary; both reach the AgentChannel, zero permission denials. - PASS: claude calls ask_user, gets the ErrAgentBlocked "end your turn" response, and ends its turn cleanly (human-in-the-loop path). - PRODUCTION NOTE: claude rejects --permission-mode bypassPermissions under root — the in-container agent must run non-root (ContainerRunner sets --user to the host uid), or tools must be pre-allowed via --allowedTools. - GEMINI spike could not run (no gemini binary); the harness's gemini path writes the production mcpServers/httpUrl settings and is ready to run where a binary exists. https://claude.ai/code/session_01SESwn7kQ7oP62trWw6pc39