Support and Roadmap

Support Channels

• Contact the AI Gateway support team for account or billing issues.
• Engage your local CESI requester for onboarding updates.

Report an Issue

When reporting a problem, include:

• Team name
• Model used
• Error code and message
• Minimal reproducible request example if possible (a code snippet is ideal)

The team may ask you to re-run your code with additional logging enabled.

Current Scope

Initial launch priorities focus on reliable model access, budget controls, and core API workflows.

Advanced LiteLLM features (agents, skills, MCP integrations, and related orchestration capabilities) are not yet available.

Roadmap Themes

• Improved onboarding automation
• Expanded model catalog visibility
• More advanced governance and policy controls
• Explore agent/skill/MCP management
• Better understand performance and usage patterns

AI Gateway 1.0 notes

As the AI Gateway launches to the University of Minnesota community, there are a lot of "unknowns" we're looking to resolve. We want to understand what real world needs are like around performance, model availability, rate limits, budget controls, and other operational concerns. We also want to understand what advanced capabilities are most useful to the community, and how we can best support those needs - agents, mcps, skills, etc.

Our goal for 1.0 was to provide a stable, cost-managed way to access a breadth of models, and we think we've provided that. Now we're going to be focused on evolving this platform to meet a broader set of needs.

Please reach out to the support team with your feedback, and we'll do our best to incorporate it into our roadmap. aigateway@umn.edu

Getting Involved

• Share documentation feedback
• Propose feature priorities for your unit
• Request collaborative pilots for advanced capabilities