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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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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. |