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Product briefing
ArcoreMaestro
ProductionData & Intelligence
Arcore Maestro is an AI workflow orchestration platform that routes tasks through LangGraph-based workflows, local or remote LLMs, and sandboxed worker services. It provides a unified control plane for defining, executing, and monitoring multi-step AI pipelines across the Arcore ecosystem.
API: Available
Endpoints
6
Key features
6
Stack components
10
Controls noted
6
What changed
May 15, 2026: Added governance-aligned copy, compare tooling support, and transparency notes.
Key Features
- 1Graph-based workflow orchestration with conditional branching
- 2CRUD management for services, models, workflows, graphs, and templates
- 3Asynchronous execution with Celery workers and scheduled runs
- 4Real-time run status, analytics dashboards, and WebSocket updates
- 5Multi-method auth: JWT, API keys, and OIDC/SSO
- 6Comprehensive audit logging, rate limiting, and security headers
API Endpoints
| Method | Path | Description |
|---|---|---|
| GET | /api/v1/workflows/ | List all workflow definitions |
| POST | /api/v1/workflows/ | Create a new workflow definition |
| POST | /api/v1/workflows/{id}/execute | Trigger a workflow execution |
| GET | /api/v1/dashboard/stats | Retrieve live dashboard statistics |
| GET | /api/v1/analytics/overview | Retrieve execution analytics overview |
| POST | /api/v1/auth/login | Log in and obtain access tokens |
Usage Example
python
import requests
# Example interaction
response = requests.get(
url="https://api.arcore.internal/api/v1/workflows",
headers={"Authorization": "Bearer <token>"}
)
print(response.json())Recommended next products
Tech Stack
PythonFastAPIReactVitePostgreSQLRedis/CeleryLangGraphFlaskDockerJaeger
Authentication
- •**Header:** `Authorization: Bearer <token>` for JWT access tokens
- •**API Keys:** `X-API-Key: <key>` for service-to-service automation
- •**SSO:** OIDC authorization and callback endpoints are implemented under `/api/v1/auth/oidc/*`
- •**Scopes:** Admin/editor/viewer RBAC is enforced on API routes.
Compliance & Security
Compliance
- ✓Audit Logging: Admin-viewable audit logs for auth, configuration, and workflow actions
- ✓Encryption: Sensitive values are encrypted at rest with Fernet
- ✓Security Controls: Rate limiting, security headers, request IDs, and password policy enforcement
- ✓Observability: Prometheus metrics, Sentry integration, and Jaeger tracing are built in
Security
- ✓Encryption: Sensitive values are encrypted at rest with Fernet
- ✓Security Controls: Rate limiting, security headers, request IDs, and password policy enforcement
Coming Soon
3 plannedSelf-Healing Workflows
Target: Phase 3
Advanced LLM Output Validation
Target: Phase 2 Enhancement
Prompt Injection Protection
Target: Phase 2 Enhancement
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