Integrate Main API with FastAPI Model Endpoint & Create Related Services

[abdullahazmy]

📝 Description

We need to establish integration between our main API and the FastAPI service that handles interaction with the ML model. This includes sending user input to the model and receiving predictions/responses, then wrapping that logic inside a dedicated service class for clean usage.

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✅ Tasks

• Analyze the FastAPI endpoint specs (routes, expected request/response formats)
• Design and implement HTTP client logic to call FastAPI from our API
• Create a service (e.g., ModelInteractionService) to encapsulate FastAPI communication
• Handle timeouts, failures, and error messages gracefully
• Add logging for request/response exchange with the model
• Write integration tests for the service
• Document the usage of this service

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📌 Acceptance Criteria

• Our API can successfully communicate with FastAPI and receive valid responses
• All model-related logic is abstracted inside a reusable service
• Proper error handling and logging are implemented
• Integration is covered with tests and documented

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🏷️ Labels

integration services fastapi machine-learning

📅 Priority

High