AI Studio API

AI Studio is a unified platform for building, fine-tuning, and deploying custom AI models. These endpoints let you manage base models, run inference, build fine-tuning datasets, launch training jobs, and deploy custom models.

Base URLhttps://console.hyperstack.cloud/ai/api/v1Differs from the core API base URL (infrahub-api.nexgencloud.com/v1).

Authentication

Pass your API key as the api_key request header (no prefix). The same key works for both this and the core Hyperstack API. See Authentication for key generation and rotation.

Resources

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Base Models

Browse available foundation models and their pricing.

3 endpoints

Inference

Send chat completions to deployed base or fine-tuned models.

1 endpoint

Image Generation

Generate and edit images from text or source images using vision models.

4 endpoints

Conversations

Create conversation threads and retrieve message history.

6 endpoints

Knowledge Bases

Index your own documents so models can search them and cite the passages used.

11 endpoints

Datasets

Upload and manage training datasets.

4 endpoints

Training Data

Access and manage raw training log data.

11 endpoints

Fine-tuning

Create and manage fine-tuning jobs.

12 endpoints

Models

Deploy, undeploy, and manage fine-tuned and imported models.

11 endpoints

Model Evaluations

Run and retrieve model evaluation results.

10 endpoints

Synthetic Data

Generate and manage synthetic training examples.

6 endpoints

System Prompts

Save and manage reusable system prompt templates.

5 endpoints

Overview

Retrieve an organization-level summary of AI Studio resource usage and model activity.

1 endpoint

Billing

Usage history and cost breakdowns for data synthesis, fine-tuning, model evaluations, and serverless inference.

12 endpoints