For AI agents: The documentation index is at https://docs.digitalocean.com/llms.txt. Markdown versions of pages use the same URL with index.html.md in place of the HTML page (for example, append index.html.md to the directory path instead of opening the HTML document).

The following foundation and embeddings models are available for DigitalOcean AI Platform.

Foundation Models

DigitalOcean AI Platform supports both open source and commercial foundation models. You can use these models for:

• Building agents using the control panel, CLI, or API

• Building and deploying agents using the Agent Development Kit (ADK)

• Testing configurations in the Agent Playground

Open source models are generally published by research labs, available under open licenses. Commercial models are proprietary such as OpenAI and Anthropic models. All models are offered using DigitalOcean API access keys, but you can also bring your own provider’s API keys to access the commercial models.

We regularly update our model offerings to provide the most performant and efficient models, and deprecate older models. For information on our model deprecation policy and recommended model replacements, see Model Support Policy.

We offer the following foundation models, subject to the AI Model Terms, our Service Terms, and the Terms of Service Agreement.

You can use these models in serverless inference, dedicated inference, inference routers, or batch inference. See the model-specific usage information below.

Embeddings Models

An embedding model converts data into vector embeddings. DigitalOcean stores vector embeddings in an OpenSearch database cluster for use with agent knowledge bases. The following embeddings models are available on the platform, along with their token windows and recommended chunking ranges.

Reranking Models

Reranking models reorder retrieved results to improve relevance after the initial retrieval step. DigitalOcean supports the following reranking model for knowledge base retrieval: