This document is relevant for: Inf1, Inf2, Trn1, Trn2, Trn3

Component Release Notes for Neuron Agentic Development#

Latest version (in 2.32.0): 1.3

The release notes for Neuron Agentic Development, the open-source suite of AI agents and skills that author, debug, profile, and analyze NKI kernels, port HuggingFace models to NxD Inference, and validate numerical equivalence of ported models on AWS Trainium from inside agentic IDEs such as Claude Code and Kiro. Read these notes for the changes, improvements, and bug fixes in each AWS Neuron SDK release. For an introduction to the feature, see Neuron Agentic Development.

Source, installation instructions, and the current catalog of agents and skills are maintained in the open-source repository: aws-neuron/neuron-agentic-development on GitHub.


Neuron Agentic Development (Neuron 2.32.0 Release)#

Improvements#

  • New Autoport skill for vLLM Neuron. The new neuron-framework-autoport-vllm-neuron skill ports GPU-compliant transformer models to the vLLM Neuron backend on AWS Trainium. The agent researches the model architecture, sizes tensor and expert parallelism, generates the model implementation, registers it in the vLLM model registry, and validates accuracy — so you can bring a model to vLLM Neuron serving without writing the port by hand. See the Autoport vLLM Neuron deep dive.

  • Model Equivalence now validates vLLM Neuron ports. The Deep dive: Validate model ports with the Equivalence skill skill adds a vLLM Neuron adapter so you can verify numerical equivalence for ports that target the vLLM Neuron backend, not just NxD Inference. Select it with target_stack: vllm_neuron, or let the skill auto-detect it from the modeling file’s imports. See the vLLM Neuron section of the Equivalence deep dive.

  • NKI 0.6.0 skill support. The NKI agentic skills are updated for compatibility with NKI 0.6.0. This includes migration guidance for the deprecated nl.dynamic_range and while reg: loop constructs — the agent can walk you through converting them to the new fori_loop() and while_loop() APIs.

New and updated documentation#


Neuron Agentic Development (Neuron 2.31.0 Release)#

Improvements#

  • NKI 0.5.0 skill support. The NKI agentic skills are updated for compatibility with NKI 0.5.0.


Neuron Agentic Development (Neuron 2.30.0 Release)#

New skills#

  • neuron-framework-autoport — Ports HuggingFace transformer models to NxD Inference with full compilation and accuracy validation. The agent handles architecture analysis, implementation, compilation, inference testing, and greedy-token-match validation end to end. (Source)

  • neuron-framework-equivalence — Validates numerical equivalence between a HuggingFace reference model and its NxD Inference port. Uses progressive 3-tensor R-ratio analysis, component-level testing, fault localization, and end-to-end accuracy verification. (Source)

New and updated documentation#

  • Added Getting Started guide covering installation, environment setup, and first agent invocation.

  • Added Autoport developer guide — deep dive on how the Autoport skill works internally, including workflow stages, parameters, and environment setup.

  • Added Equivalence developer guide — deep dive on the Equivalence skill’s 8-stage validation workflow and R-ratio methodology.

  • Added Autoport tutorial — step-by-step walkthrough of porting a HuggingFace model using the Autoport agent.

  • Added Equivalence tutorial — step-by-step walkthrough of validating a ported model using the Equivalence agent.


This document is relevant for: Inf1, Inf2, Trn1, Trn2, Trn3