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ADR 001: Use FastAPI for Control Plane API#

Status#

Accepted

Date#

2024-01-15

Context#

We need to build a high-performance API backend for the mutx control plane that handles:

  • Agent management and orchestration
  • Deployment provisioning
  • Webhook handling
  • Real-time communication (WebSockets)

Decision#

We will use FastAPI (Python) for the control plane API.

Consequences#

Positive#

  • High performance: FastAPI is one of the fastest Python web frameworks
  • Async support: Native async/await for handling concurrent requests
  • Auto-documentation: Built-in OpenAPI/Swagger generation
  • Type safety: Pydantic integration for data validation
  • Large ecosystem: Access to Python ML/AI libraries for agent runtime

Negative#

  • Python GIL: Limits true parallelism (mitigated by using async workers)
  • Cold starts: Serverless deployment may have latency spikes

Alternatives Considered#

  • Node.js/Express: Rejected due to better Python ecosystem for AI/ML
  • Go: Rejected due to slower development velocity for our team
  • Rust: Rejected due to steep learning curve and slower development

References#

  • FastAPI Documentation
  • [Tech benchmark results (internal)]
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