Triton AI Docs
Developer tools

Integrations

Connect coding agents and developer tools to the Triton AI Developer API.

Use the Developer API with clients that accept an Anthropic or OpenAI-compatible endpoint.

Supported by Triton AI

Triton AI tests these setup paths and maintains the instructions on this site.

ClientAvailable surfacesProtocol
Claude CodeCLI, desktop app, and VS CodeAnthropic Messages
CodexCLI, desktop app, and VS CodeOpenAI Responses

Jira and Confluence tools

Use MCP connections to add Jira and Confluence tools to your client. MCP configuration is separate from the model-provider connection on this page.

Community integrations

Continue, Hermes Agent, OpenClaw, Cline, Aider, and Open WebUI can use custom OpenAI-compatible endpoints.

Best-effort support

Other projects maintain these clients. Triton AI does not guarantee compatibility with every release.

Choose the correct base URL

Client protocolBase URL
Anthropic Messageshttps://tritonai-api.ucsd.edu
OpenAI compatiblehttps://tritonai-api.ucsd.edu/v1

Claude clients add /v1/messages to the Anthropic base URL. Do not add /v1 to that base URL.

Before you start

  1. Request Developer API access.
  2. Choose a model that supports the tools your client needs.
  3. Store the API key in a user-level secret or environment variable.
  4. Send a harmless test prompt after setup.

Features depend on the selected model

The model route determines support for tool use, image input, reasoning controls, and other client features.

On this page