Modular Infrastructure

Orient AI’s plug‑and‑play modules promote extensibility and maintainability:

  • Layered Microservices: Independent service components for data ingestion, model serving, workflow orchestration, and execution allow targeted upgrades and scaling.

  • Plugin Architecture: Developers can integrate custom data connectors, model types, or execution adapters via standardized interfaces and SDK scaffolds without modifying core code.

  • Configuration‑Driven Deployment: YAML/JSON manifests define agent pipelines, resource allocations (CPU, GPU, memory), and security policies, enabling declarative CI/CD workflows.

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