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0ca9d91b72 |
v0.16.0: fastapi-guard HTTP security layer — calibrated + scanner honeytrap (#290)
* [fastapi-guard] Phase 1a: gated config flags for the HTTP security layer Adds the ROBOCO_GUARD_* settings (all default-off / secure-default) for the upcoming fastapi-guard 7.2.0 hardening — guard_enabled (master switch), guard_fail_secure (fail-closed default; NAS overrides to false), guard_telemetry_enabled + guard_agent_api_key + guard_project_id (guard-agent telemetry, opt-in), guard_emergency + guard_emergency_whitelist (lockdown kill switch). Inert until consumed: nothing reads them yet, so the request path is unchanged. Foundation for v0.16.0. * [fastapi-guard] Phase 1b: security foundation module + gated wiring Add fastapi-guard 7.2.0 + guard-core 3.3.0 (bare, unpinned) and roboco/security.py: - build_security_config() from settings — behind-nginx real-IP (trusted_proxies + trust_x_forwarded_proto), HSTS/CSP headers, threat-ban + 404-sweep rules, redis-backed state, exclude_paths (/ws + health + docs), env-driven enforce_https, fail_secure (secure default), emergency lockdown, guard-agent telemetry (opt-in), passive-mode calibration switch. - guard_deco singleton (SecurityDecorator) for per-route decorators (Phase 2+). - Three custom content validators guard's WAF can't cover: prompt-injection / role-override, secret-exfil / credential-in-body, internal-SSRF. - apply_guard(app) + guarded_lifespan() wired into create_app AFTER settings. guard_passive_mode config flag added. Entirely gated by ROBOCO_GUARD_ENABLED (default off): create_app mounts nothing and returns the unchanged app when off (verified). make quality GREEN (cov 95.32%, pip-audit clean, import-linter 2/0). 12 new unit tests. * [fastapi-guard] Phase 2: critical-path decorators Apply guard decorators to the highest-value endpoints (metadata-only; enforced only when the middleware is mounted, so no-op while ROBOCO_GUARD_ENABLED is off): - provider keys (ollama/grok/self-hosted writes): strict rate_limit + max_request_size + block_clouds (no datacenter IP should touch secret writes). - settings write + release approve/reject (CEO-gated): strict rate_limit. - intake chat (prompter start/messages/events): rate_limit + max_request_size + custom_validation(prompt_injection_validator) — the prompt-facing free-text ingress gets the injection/role-override/secret-exfil content scan. make quality GREEN (cov 95.32%, contracts 2/0). App builds with guard off, decorators inert (verified). * [fastapi-guard] Phase 3: wide decorator coverage across ingress + sensitive routes Targeted-wide application (metadata-only; no-op until ROBOCO_GUARD_ENABLED). The global SecurityMiddleware already rate-limits + WAF-scans every request, so this adds the custom content validators on free-text ingress + tight limits on sensitive ops (not blanket per-route rate_limit on reads): - agent gateway do verbs (note/say/commit/dm/pitch/progress/draft_playbook/...): rate_limit + max_request_size + custom_validation(secret_exfil or prompt_injection). - a2a message/send + chat writes: rate_limit + size + prompt_injection. - optimal/RAG (kb/search, rag/query, mentor/ask, errors/decisions/standards/ learnings): prompt_injection on searches, secret_exfil on record writes; docs index → internal_ssrf. - tasks: create/update → prompt_injection; QA/doc/PM transitions → secret_exfil; CEO-gated verbs → tight rate_limit. - secretary chat → prompt_injection; research → internal_ssrf; orchestrator spawn/mutations → rate_limit; git ops + flow verbs → tight rate_limit. Pure GET/reads left to the global middleware. Applied via a Sonnet workflow, then verified: app builds with guard off (decorators inert), make quality GREEN (cov 95.37%, contracts 2/0). Decoy/honeypot-path surface deferred (needs verified guard ban-API integration — not rushed). * [fastapi-guard] Phase 5: arm the NAS composes in passive/log-only mode Arm ROBOCO_GUARD_ENABLED=true + ROBOCO_GUARD_PASSIVE_MODE=true + ROBOCO_GUARD_FAIL_SECURE=false on the two NAS composes (docker-compose.yaml + .yml). Passive = guard mounts and logs what it WOULD block but blocks nothing, so the next NAS deploy calibrates against real traffic; flip PASSIVE_MODE off after the false-positive review to enforce. fail_secure=false keeps a guard-internal error from 500ing the personal deploy. The registry (user-facing) compose is deliberately left unarmed so its published default stays conservative. Phase 4 (passive calibration) is the operational step this enables. * feat(security): Phase 3b — full-arsenal per-route guard enrichment Stack the applicable guard decorators per surface instead of the minimal rate_limit/max_request_size/custom_validation triad: content_type_filter on every JSON-body write, honeypot_detection form-traps on human-facing POSTs, block_clouds on key-writes + CEO release ops, behavior_analysis runaway-rate rules on the agent flow/do verbs, suspicious_detection + usage_monitor on the sensitive surfaces. Nine distinct decorators now applied thoughtfully per endpoint. All metadata-only — no-op while ROBOCO_GUARD_ENABLED is off. * fix(a2a): permit PR reviewer to deliver gate verdicts to the owning PM can_a2a_direct had no pr_reviewer rule, so a reviewer (team=board, or a cell team) fell through to the cell-member path and was cross-cell-denied when the in-path gate delivered a pr_fail change-request to main-pm (or a cross-cell cell-pm): "Cannot A2A main-pm ... Ask None to coordinate with None". The delivery is best-effort, so pr_fail still transitioned but the verdict never reached the owning PM — the blind-re-submit signal-gap the pr_fail fix closes. Add an explicit pr_reviewer handler: it may A2A only cell_pm / main_pm (its sole comms surface — everything else it posts on the PR itself), with a matching route hint. The cell reviewers kept same-team access by coincidence; this scopes every reviewer to PM-only, the correct model, with no other A2A caller affected. Refresh uv.lock to the current resolution. * feat(models): adopt Claude Sonnet 5 as the sonnet tier Point the 'sonnet' alias at claude-sonnet-5 (MODEL_MAP) and give pr_reviewer its own opus tier in ROLE_MODEL_MAP — it was falling through to the sonnet default, and the role gates untrusted external/fork PRs plus root→master, which warrants opus. Price claude-sonnet-5 at the promotional 33% off Sonnet 4.6 ($2.01 / $10.05, cache 0.201 / 0.5025) through 2026-08-31 via a dedicated pricing fragment that beats the bare 'sonnet' alias; revert to full rate when the promo ends. Bare 'sonnet' stays full-rate as a conservative fallback (prod prices the resolved claude-sonnet-5 id from the transcript). Update the model docs and the billing / usage / manifest / spawn tests. * feat(security): calibrate the guard WAF for RoboCo traffic + document the layer The first end-to-end run of the fastapi-guard layer showed active enforcement would block ~50% of legitimate agent traffic — RoboCo request bodies are code, SQL, diffs, file paths, HTML, and URLs, which the stock signature WAF reads as attacks. build_security_config now excludes RoboCo's free-text top-level body fields (derived from the real request models, including the free-form container fields whose nested prose is stringified and scanned) from WAF scanning, dropping the active-mode false-positive rate to zero while keeping the WAF on every non-excluded (id/enum/slug/branch) field and leaving the prompt-injection / secret-exfil / internal-SSRF validators — which run independently of the exclusion — fully in force. enable_penetration_detection is made explicit. Only excluded_detection_body_fields is reliable on guard 7.2.1: the per-route categories knob is bypassed for JSON bodies, and the body scanner excludes top-level keys only (scanning str(value) of every non-excluded field), so free-form container fields must be excluded wholesale. Adds tests/unit/test_security_middleware.py — the first end-to-end exercise of the middleware (mounts it, drives guard's lifespan, fires real requests): proves passive mode is log-only, active mode does not false-positive on realistic agent payloads, threats are still blocked inside excluded fields, and the WAF still fires on non-excluded fields. Docs: CHANGELOG (Unreleased); a user-facing Optional-subsystems page + nav + env reference for the HTTP security layer; the agent-facing RAG corpus (what it is + why a request could be blocked); and the roboco mapping (api-core-websocket / deployment-tooling / _complete_map). * feat(security): Surface N — scanner honeytrap (guard /api auto-ban + nginx edge-drop) Turns scanner probes against the scanner, in two layers matched to where traffic lands. Behind nginx only /api, /ws, /health, /ready reach the orchestrator, so guard can only see (and ban) scanner probes on those paths; the classic root probes (/.env, /wp-login.php, /phpmyadmin, /.git/config) hit the panel. So: - build_security_config's threat_ban_config gains recon / sensitive_file / cms_probing categories. A scanner probing those fingerprints on an /api path is detected on the URL-path scan; repeated probes from one IP trip an adaptive per-IP auto-ban (redis-backed, 24h). Only bans in active mode (passive logs the recon hit) and needs redis (the 24h ban exceeds the in-memory cap). The spec's decoy-route file is redundant — the WAF url-path scan bans regardless of a registered route — so it is intentionally omitted. - docker/nginx.conf drops the classic root scanner paths at the edge with 444 (connection closed, no response) before they reach the panel, anchored to known scanner fingerprints so /.well-known and every real panel/API route are untouched. Always on, independent of ROBOCO_GUARD_ENABLED. Tests: 2 unit (the exclusion set + the scanner-ban categories are present) and 2 integration (a decoy path is blocked in active mode, passes in passive). The nginx regex was validated against 15 scanner + 19 legit paths (0 false positives). Docs: CHANGELOG, the HTTP-security page, the roboco mapping, and the agent-facing RAG corpus. * Token optimization — per-role observability, compute policy, spawn preflight (#291) * test(models): lock the sonnet→claude-sonnet-5 MODEL_MAP invariant * feat(usage): surface cache tokens + cache_hit_rate in usage breakdowns * feat(usage): add per-role usage breakdown endpoint * feat(usage): add spawn-waste signal (per-role unproductive rate + respawn strikes) * feat(panel): surface per-role cost/cache + spawn-waste on the metrics page * feat(routing): Phase 2 per-role compute policy — qa→haiku, main_pm→sonnet, per-role effort env mechanism (default-inert) * feat(orchestrator): Phase 3 flag-gated spawn preflight — refuse non-gateway delivery roles (respawn-forever guard) * chore(compose): arm ROBOCO_SPAWN_PREFLIGHT_ENABLED on the NAS composes * docs: per-role usage observability, per-role compute policy, and spawn preflight --------- Co-authored-by: Renn F <rennf93@users.noreply.github.com> * fix(panel): pin outputFileTracingRoot so the standalone build isn't broken by stray lockfiles * feat(routing): populate ROLE_EFFORT_MAP + wire the verified --effort flag (cell_pm/board/auditor to medium) * feat(gateway): omit empty context_briefing sections (Phase 4 payload compaction) * refactor(orchestrator): extract spawn chokepoint guards to restore xenon rank B on spawn_agent --------- Co-authored-by: Renn F <rennf93@users.noreply.github.com> |
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153723406e |
Feat/autonomous maintenance (#264)
* feat(ci-watch): config flags Default-off CI-watch config (mirrors self_heal_*): ci_watch_enabled, ci_watch_default_workflow (ci.yml), ci_watch_interval_seconds (1800), ci_watch_max_open_tasks (3), ci_watch_max_per_cycle (1). Registers ci_watch_enabled in the panel FEATURE_FLAGS. 4 tests. * feat(ci-watch): per-project ci_watch_enabled/workflow (migration 048) Adds projects.ci_watch_enabled (bool NOT NULL default false) + projects.ci_watch_workflow (varchar null) — the per-project opt-in for multi-repo CI-watch. ProjectTable + Pydantic Project fields + migration 048 (off 047_ws_single_active). Real upgrade->downgrade->upgrade chain verified against a throwaway Postgres; 2 ORM round-trip tests. * feat(runtime): prune dangling agent images in the background sweeper Every agent-image rebuild orphans the prior build's layers as an untagged <none> image; across deploys these pile up (the operator hit ~80). The sweeper now runs 'docker image prune -f --filter dangling=true' (dangling only — a tagged image or one backing a running container is never dangling), throttled to settings.image_prune_interval_seconds (default 6h) and gated by image_prune_enabled (default on). Best-effort: any failure is logged, never raised into the sweeper. Mirrors the transcript-retention prune. 4 tests. * feat(ci-watch): source tag + open-task dedupe query CI_WATCH_SOURCE='ci_watch' + TaskService.list_open_ci_watch_tasks(git_url=None): non-terminal ci_watch tasks (the dedupe + open-cap basis), optionally scoped to one repo by git_url — a monorepo registers several cell-projects on one git_url, so dedupe keys on the repo, not the slug. 2 real-PG tests. * feat(ci-watch): multi-project CI telemetry fan-out MultiProjectCITelemetrySource.fetch(projects) reuses the hardened per-project get_latest_ci_conclusion for each opted-in project (passing its ci_watch_workflow or the configured default). Per-project isolation: a GitHub error or absent signal yields NO sample (unknown, never read as green) and never aborts the sweep; only a real conclusion yields a sample (fail→breach, pass→non-breach). self-heal source untouched. 3 tests + self-heal regression green. * feat(ci-watch): engine — fan-out, originate, dedupe, cap CiWatchEngine.run_cycle(projects) mirrors SelfHealEngine: assess via MultiProjectCITelemetrySource, open one PENDING ci_watch fix task per red repo (team=main_pm, assigned_to=main-pm, confirmed_by_human=True so it dispatches without an Approve-&-Start — the |
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889f3689e7 |
MegaTask (#248)
* feat(batch): batch_id + collision descriptor columns
Sequenced batch intake ("Mega task") foundation: tasks.batch_id (indexed)
groups a batch of top-level tasks created together; intends_to_touch (text[]),
adds_migration and touches_shared (bool, NOT NULL default false) are the
per-task collision surface the SequencingService will read to wire dependency
waves. Mirrored on the Task model + TaskCreateRequest and wired through
TaskService.create. Migration 046 (real upgrade->downgrade->upgrade verified
vs a throwaway pgvector PG); a non-batch task declares no surface (defaults).
Task 1 of the 0.11.0 sequenced-batch-intake plan.
* feat(batch): flag + draft collision descriptors
Default-off ROBOCO_BATCH_INTAKE_ENABLED (config + FEATURE_FLAGS + panel card);
the propose_draft tool doc + the TS DraftProposal gain the per-task collision
surface intends_to_touch / adds_migration / touches_shared. The draft is a loose
dict so the descriptors ride it through the relay intact (test asserts the
forwarded payload); the analyzer (Task 3) reads them to wire dependency waves.
Task 2 of the 0.11.0 sequenced-batch-intake plan.
* feat(batch): deterministic collision-sequencing analyzer
SequencingService.analyze turns a batch's per-task collision surfaces into a
dependency DAG + execution waves — correctness in CODE, not agent judgment.
Rules in order: file overlap serializes (more-important first), migrations form
a serial chain (no concurrent Alembic heads), touches_shared runs last, cell
contention warns (never serializes); then dedupe, existence + cycle check, and
Kahn topological layering. Pure (no DB/services); SequencingError on a cycle or
out-of-range edge.
Golden test reproduces the CEO's hand-sequenced 4 waves of the 11-item
guard-core-app batch (the effort that deadlocked the Main PM): S6 alone last,
the R1/R3/R4 migration chain, R2/R3/S8 serialized on the shared threat service,
S1/S2/S7 in one parallel wave.
Task 3 of the 0.11.0 sequenced-batch-intake plan.
* chore(batch): brand the user-facing surfaces "MegaTask"
The user-facing name is MegaTask: the feature-flag label is "MegaTask intake",
the panel flag-card and the config description lead with MegaTask. Internal
names stay technical (batch_intake_enabled, batch_id, SequencingService).
* chore(batch): drop the feature flag — MegaTask is a core intake scope
MegaTask is additive and opt-in by its own nature (the Prompter proposes a
batch only when the CEO asks for several tasks; single-task intake is
unchanged), so there is no risk surface a flag protects — 'don't create a
MegaTask' is the off switch. Remove batch_intake_enabled from config, the
FEATURE_FLAGS registry, the panel flag card, and its tests. MegaTask will be
a third scope option in the Intake modal (single-cell / multi-project /
MegaTask), not a toggle.
* feat(batch): MegaTask identity predicate + orchestrator branchless recognition
The single source of truth for the umbrella's exemptions: pure
is_batch_umbrella / is_batch_root_subtask / is_branchless_coordination
(foundation/policy/batch.py) — an umbrella has a batch_id and is top-level; a
root-subtask shares the batch_id but is parented. The orchestrator's
_is_coordination_task now consults is_branchless_coordination, so a MegaTask
umbrella is recognized as doing no git of its own (git-exempt at spawn-readiness
/ stuck-detection) exactly like a product fan-out root. Non-batch behavior is
identical (the predicate reduces to the old no-project+product check; the
orchestrator coordination suite stays green), and the umbrella branch is inert
until the create path exists.
First slice of the MegaTask umbrella enforcement (branchless guard).
* feat(batch): branchless umbrella guard across the git-exemption sites
A MegaTask umbrella does no git of its own — every git-exemption site in
TaskService now consults the shared is_branchless_coordination predicate
instead of an inline product-only check, so the umbrella's exemptions
cannot drift between sites:
- the claimed->in_progress branch gate (GitContext.is_coordination) lets
an unbranched umbrella reach in_progress and delegate;
- _ensure_branch_for_task short-circuits an umbrella to "" instead of the
misconfigured raise (the claim path ignores the return, treating it as
branchless);
- CEO-reject routing sends a rejected umbrella to the Main PM in PENDING
(needs_revision is developer-claim-only and would deadlock it).
Covers both shapes via the predicate (product fan-out root OR umbrella);
a batch root-subtask keeps its own branch/PR. Adds orchestrator
recognition tests for the umbrella plus claim/branch/reject integration
tests.
* feat(batch): umbrella assembles no PR; completes branchless
submit_root now hard-rejects a MegaTask umbrella up front (a preflight
that also folds in the unknown-role refusal to stay within the
return-count budget): the umbrella spans many projects with no single
master, so each root-subtask opens and is reviewed on its own PR — the
umbrella never enters the in-path review gate. The Main PM completes it
directly once every root-subtask is terminal.
Umbrella completion needs no new code: it is branchless (no branch_name),
so _main_pm_complete_guard already accepts it from in_progress, checks
all_subtasks_terminal, and main_pm_complete walks it to awaiting_pm_review
and escalates to the CEO with no PR creation — exactly the product
fan-out root path. Adds the submit_root-reject and umbrella-completion
gateway tests; pins batch_id=None on the normal-root submit_root test
(a MagicMock auto-attr would otherwise read as an umbrella).
* feat(batch): MegaTask create path — umbrella + sequenced root-subtasks
PrompterService.confirm_live_batch turns N confirmed drafts into a real
MegaTask: it builds each draft's collision surface, runs the pure
SequencingService to get conflict-free waves, creates the branchless
umbrella (batch_id, no project/product), then one root-subtask per draft
(own project, parent=umbrella, sequence=wave index, descriptors), and
wires the analyzer's edges through add_dependency so the existing
dependency-gate runs the waves in order. The route picks the start path
like a single confirm: 'board' holds the root-subtasks in BACKLOG for the
batch review; 'main_pm' creates them PENDING so wave 0 dispatches at once.
create_task_from_draft gains a BatchPlacement (parent/batch/sequence/
team_override) and forwards the collision descriptors; the exactly-one-
target rule (here and the TaskService.create invariant) is relaxed for an
umbrella, which legitimately targets neither. New route
POST /live/{session}/confirm-batch + BatchConfirmRequest mirror the single
confirm. Adds the structural-invariant + board-hold + empty-batch tests.
* feat(batch): release MegaTask root-subtasks on CEO approval; board awareness
The board route holds a MegaTask's root-subtasks in BACKLOG so the work
waits for the batch review. approve_and_start (CEO gate #1, board->Main PM)
now releases them via _activate_batch_root_subtasks: each held child flips
BACKLOG -> PENDING + team=main_pm so the dependency-gate dispatches wave 0.
No-op for a non-umbrella; idempotent (children past BACKLOG untouched).
The Product Owner and Head of Marketing identity prompts gain a MegaTask
section so they review the whole batch + wave plan and adjust scope before
sign-off (they review drafts; the umbrella is their unit). Also extracts
the create() target invariant into _require_target_or_umbrella to keep the
method under the complexity gate after the umbrella exemption. Adds the
umbrella-approval activation test.
* feat(batch): multi-project intake scope for MegaTask
A MegaTask spans several possibly-unrelated repos, so the intake chat can
now be scoped to an explicit project list (not just one project or one
product). StartLiveRequest gains project_ids; /live/start threads it
through start/spawn_intake_session -> _spawn_intake_container ->
_clone_intake_scope. The multi-repo clone machinery already existed for
products; _intake_scope_slugs now also resolves an explicit project_ids
set (split into _slugs_for_project_ids / _slugs_for_product), cloning each
repo with the first as the primary cwd and the siblings readable. Scope
validation is now 'exactly one of project_slug / product_id / project_ids'
via the shared _require_one_intake_scope. Adds scope-resolution, spawn,
and route tests for the MegaTask path.
* feat(batch): propose_batch intake tool (MegaTask multi-draft hand-off)
The intake agent can now hand the panel a whole MegaTask in one tool call.
Both intake paths gain propose_batch alongside propose_draft:
- Claude (intake_driver): a propose_batch tool registered on the in-SDK
MCP server + allowlisted; the driver intercepts the ToolUseBlock and
emits ONE StreamChunk(kind="batch") carrying {drafts:[...], title}.
- grok (intake_server): a propose_batch tool that POSTs a "batch" relay
event via the shared _post_event helper (post_draft/post_batch).
A batch carries N drafts, each the propose_draft shape PLUS its own
project_id (a MegaTask spans unrelated repos) and collision surface so the
analyzer sequences the waves. The prompter prompt documents the MegaTask
scope + when to call propose_batch. Adds Claude-normalize and grok-relay
tests for the batch path.
* feat(batch): MegaTask intake panel — third scope, batch review, waves
The panel now drives a MegaTask end to end. The intake modal gains a
third scope, 'MegaTask', beside Single cell and Board-led: a multi-project
checklist (a MegaTask spans several possibly-unrelated repos), validated
to at least two. start() sends project_ids; use-prompter accumulates the
agent's single propose_batch hand-off as a 'batch' SSE event into a
BatchProposal and lands in a new batch_preview state.
A new BatchReviewCard lists every proposed task with its target project +
collision-surface badges (migration / shared) and offers one start path
for the whole batch — Board review & Start or Approve & Start — wired to
confirmBatch → POST /confirm-batch. The success card shows the sequenced
result: N tasks in M waves (+ any advisory notes). prompter.ts gains the
DraftScale 'megatask' + the BatchConfirm payload/result types; the SSE
client allows the 'batch' kind. Panel typecheck + lint + 113 tests green.
* docs(batch): MegaTask across changelog, CLAUDE.md, site, and RAG
The four documentation obligations for the MegaTask feature:
- CHANGELOG: an Unreleased entry covering the umbrella model, sequencing,
multi-project intake, propose_batch, and the create/approval path.
- CLAUDE.md: a MegaTask section (identity predicate, umbrella/root-subtask
hierarchy, sequencing rules, intake + create path, board activation).
- Published site: a user-facing company/megatask.md (scopes, waves, the
umbrella, the two start buttons) + nav entry; a pointer added to the
intake chapter of the Tour.
- RAG corpus: workflows/megatask.md so the Main PM (and any agent) can
retrieve the umbrella's branchless / no-PR / completion rules at runtime.
The runtime concurrent-migration guard is intentionally NOT added: the
analyzer already chains migration-adders into dependencies and the
dependency-gate serializes them, so a separate guard would be dead code.
* feat(batch): batch_id guardrail + wave preview + batch_id on TaskResponse
Guardrail (CEO): a batch_id is denied on any task that is not a well-formed
MegaTask member. is_valid_batch_shape permits batch_id only on an umbrella
(no parent → must target neither project nor product) or a root-subtask
(has a parent → exactly one target); TaskService.create enforces it AND
verifies a root-subtask's parent is the batch umbrella (same batch_id,
top-level). This closes a latent hole: is_batch_umbrella is true for a
batch_id + no-parent task even with a project, so a stray batch_id could
have spoofed the branchless branch-gate / no-PR exemption. (The public
task API never exposed batch_id for write; this guards the service layer.)
Wave preview: PrompterService.preview_batch + POST .../preview-batch
compute a MegaTask's waves from the proposed drafts WITHOUT creating
anything, so the panel can show the sequencing before confirm. Extracted
_sequence_drafts as the single source shared by preview and confirm, so
the previewed waves are exactly the ones wired.
TaskResponse now carries batch_id so the panel can badge the umbrella.
* feat(batch): MegaTask review — project editor, wave preview, persistence, badge
Closes the panel gaps in the MegaTask review experience:
- Per-task project editor: each proposed task gets an inline project
Select (updateBatchDraftProject), so a task the agent put in the wrong
or no repo can be fixed before launch — not only by re-chatting. Launch
stays blocked until every task has a project.
- Wave preview: on a batch proposal the panel fetches POST .../preview-batch
(no task created) and shows the conflict-free wave plan, so the human
reviews the sequencing before confirming.
- Refresh durability: the MegaTask review (batch + waves + projectIds) is
persisted, so a browser reload mid-review restores it like a single draft.
- MegaTask badge: TaskResponse exposes batch_id, the panel Task type
carries it, and the task table badges the umbrella row 'MegaTask'.
Panel typecheck + lint + 113 tests green.
* test(batch): stub task carries batch_id for task_to_response
task_to_response now serializes batch_id (TaskResponse field), so the
_stub_task SimpleNamespace fixture must provide it — without it the reader
hit AttributeError, failing the 8 task-schema serialization/enrichment
tests. Test-only; the real TaskTable carries the column (migration 046).
* fix(batch): close MegaTask audit gaps — completion crash, analyzer cycle, guardrails
An adversarial multi-agent audit of the feature surfaced 20 verified gaps;
this closes the backend ones.
HIGH:
- Umbrella completion crashed. escalate_to_ceo hard-required a pr_number,
which a branchless umbrella never has, so main_pm_complete dereferenced
None. Both pr_number gates now waive a MegaTask umbrella (escalate_to_ceo
+ the awaiting_pm_review->awaiting_ceo_approval lifecycle gate via a new
GitContext.is_umbrella), and main_pm_complete guards a None return. The
completion test had mocked escalate_to_ceo, hiding it — now a real
service test covers the waiver.
- The collision analyzer could fabricate a cycle (a touches_shared +
adds_migration draft overlapping another migration draft) and raise
SequencingError — a bare ValueError that escaped as an opaque 500. The
migration chain is now shared-last-aware (never contradicts rule 3), and
_sequence_drafts translates SequencingError to a clean 400.
MEDIUM:
- Collisions are now project-scoped: two repos can't collide on a
coincidental path or serialize independent migrations (DraftSurface
carries project_id; rules 1/2/3 respect it).
- The batch_id guardrail ran only at create. update() + the PATCH
null-clear path now re-assert is_valid_batch_shape, so a mutation can't
break a member's shape and spoof the branchless exemption.
- A draft missing title/acceptance_criteria now raises ValidationError
(was a bare KeyError -> 500).
- confirm_live_batch re-asserts every draft targets a scoped project and
the batch spans >=2 distinct projects (project_ids added to the request).
- Route-level tests for confirm-batch / preview-batch.
LOW: strict multi-repo clone (fail loud on any unresolvable project);
malformed/empty propose_batch surfaces an error chunk (Claude) / refuses
to POST (grok) instead of silently acking; dropped malformed drafts are
counted and surfaced; stale grok intake docstrings updated.
* fix(batch): MegaTask panel + doc audit gaps
Frontend half of the audit fixes:
- The confirm payload now carries project_ids (the schema requires it), and
the panel re-checks every task targets one of the scoped repos before
launching, naming the offending task.
- The Review-MegaTask project picker is filtered to the scoped repos and
the per-task validity (border + launch gate) keys off scoped membership,
so a task can only be (re)pointed at an in-scope project — also fixing the
case where the agent emitted a non-UUID / unknown project.
- Dropped malformed drafts are surfaced as a chat error so the human knows
the batch shrank instead of silently confirming fewer tasks.
- Doc wording: a wave releases on the previous wave's terminal state
(normally a merge; a cancellation releases it too), not strictly 'merged'.
* test(batch): lock the CEO's EXACT 4-wave hand-sequencing as the golden bar
The golden test asserted the constraints (S6 last, the migration chain, the
shared-threats serialization, S1/S2/S7 parallel) but not the full wave
partition. The bar for MegaTask is 'reproduce my exact waves or it's not
done', so assert the exact 4-wave partition the analyzer produces for the
guard-core-app batch:
wave 1: R1 R2 S1 S2 S3 S5 S7 · wave 2: R3 · wave 3: R4 S8 · wave 4: S6
Confirmed unchanged by the audit's analyzer fixes (no migration is shared;
single project).
* fix(batch): tolerate a stub task in assert_batch_shape_intact
The batch-shape re-validation read task.batch_id directly, but update()'s
partial-caller contract is exercised with a SimpleNamespace stub that has no
batch_id column → AttributeError. Use getattr(..., None) for batch_id and the
shape fields so the guard no-ops on any task lacking the column (a stub, or a
non-batch task) while still enforcing on a real batch member.
* fix(orchestrator): authenticate internal API self-calls with the system identity
The dispatcher httpx clients were built without an agent identity, so the
orchestrator's self-PATCHes to /api/tasks/{id} (auto-block, auto-resume,
auto-recover, SLA annotation) were rejected 401 "Missing X-Agent-ID" and
silently no-op'd. The auto-resume that lifts a PM's paused parent could never
write, so paused/blocked parents stayed wedged and stranded their dependents
(the fe-pm/be-pm respawn churn seen in prod).
Header propagation was inconsistent across the separate AsyncClient call-sites:
only the main dispatch client carried the system identity; the readiness and
sweep clients did not. Hoist the identity into a shared _SYSTEM_API_HEADERS
constant and apply it to every API-facing dispatcher client. The system role
holds TaskAction.ASSIGN, so it is authorized for the audited admin_set_status
path those write routes use. The external provider-recovery probe client is
intentionally left untouched.
---------
Co-authored-by: Renn F <rennf93@users.noreply.github.com>
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Renn F
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28bb3b4374 |
docs: drop the unowned roboco.dev custom domain; serve on github.io
roboco.dev is not ours, so the docs.roboco.dev custom domain can never resolve. Remove the docs/CNAME and the custom-domain site_url, and point the advertised docs URL at the free GitHub Pages project URL (https://rennf93.github.io/roboco/) — no DNS required. |
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Renn F
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8e87506da4 |
docs: deploy via GitHub Pages Actions; serve at docs.roboco.dev
The gh-pages branch deploy (mkdocs gh-deploy --force) raced GitHub's built-in branch deployment and got canceled, and each force-push wiped the custom-domain CNAME. Switch to GitHub's official Pages Actions flow (build -> upload-pages-artifact -> deploy-pages) with a single 'pages' concurrency group, so there is one deterministic deployment and no branch to force-push. - Set the custom domain to docs.roboco.dev (site_url + a docs/CNAME that ships in the build artifact, so the domain persists across deploys). - Point the advertised docs URL at https://docs.roboco.dev across README, the usage/deployment stubs, the Makefile help, pyproject, and CLAUDE.md. - Requires a one-time Settings -> Pages -> Source = "GitHub Actions"; the gh-pages branch is no longer used. |
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Renn F
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2fb63fed1f |
docs: add the user-facing MkDocs documentation site
Build a complete user-facing documentation site (MkDocs Material) under docs/, served at roboco.dev/docs via a new gh-pages deploy workflow. - Sections: Get Started, The Company, the Tour, Operating the Panel, Choosing & Running Models, Cost & Observability, Optional Subsystems, Configure & Deploy, API Reference, Troubleshooting & Security (55 pages). - mkdocs.yml (Material theme; excludes the agent-facing rag/ corpus, internal scratch, and orphaned stub trees) and .github/workflows/docs.yml (mkdocs gh-deploy to gh-pages). - Retire the stale root usage.md and deployment.md to redirect stubs into the site. - Fix the docs tooling: add the pymarkdownlnt dependency + .pymarkdown.json, run serve-docs/lint-docs/fix-docs under the docs extra, add a build-docs strict gate. - Fix the roboco console-script entry point (cli, not the un-awaited async main). - README: correct the project-structure tree (optimal.py, alembic) and link the docs site. |