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The HUD platform takes the environments you build and runs models against their tasks. Each attempt comes back as a graded trace you can replay step by step. One API key connects the SDK, the CLI, the REST API, and the inference gateway. Every job exports its hud eval configuration, so any run can be reproduced from the terminal.
hub-environments

Build environments

Deploy an environment and turn its builds into runnable task templates.
hub-tasksets

Create tasksets

Freeze a set of tasks into a suite, so every job answers the same question.
hub-evaluations

Run evaluations

Run a taskset across models and drill into every trace.

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Platform features

Models

Choose gateway models and manage team-owned trainable forks.

QA agents

Save a reviewer once and rerun it on any trace.

Data

Upload a file once and select it from any compatible task form.

File tracking

Reconstruct workspace changes at each point in a trace.

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Operate and connect

Training

Run training from Python, then inspect checkpoints and results.

Team settings

Manage access, credentials, usage, billing, and limits.

REST API

Automate jobs, traces, models, and limits over HTTP.

Platform MCP

Let coding agents inspect environments, tasksets, jobs, and traces.
Coding agents read these docs too. The REST API is generated from openapi.json, and the Platform MCP serves the same objects as tools. To hand an agent everything at once, run npx skills add https://docs.hud.ai.