APIs

Python interfaces for building applications that run inference on Metis hardware.

API	What it covers
InferenceStream API	The recommended Python API for inference applications. create_inference_stream, FrameResult, metadata types (detection, tracking, classification, etc.), display, and tracers.
axelera.runtime API	The low-level Python API for direct AIPU access. Context, Connection, Model, tensor management. Use this when you need fine-grained control over device selection, buffer management, or multi-instance execution.
Pipeline Builder API	The Pythonic API for composable ML pipelines using axelera.runtime.op. Build pipelines with operators for transforms, inference, postprocessing, tracking, and more. Includes quickstart, model compilation guide, and full operator reference.

For most applications, start with the InferenceStream API and the Run Inference in Python tutorial.