FeaturesGateway

Providers & models

Create custom models and track their usage.
  1. Sign up — Create an account at platform.respan.ai
  2. Create an API key — Generate one on the API keys page
  3. Add credits or a provider key — Add credits on the Credits page or connect your own provider key on the Integrations page

Add the Docs MCP to your AI coding tool to get help building with Respan. No API key needed.

1{
2  "mcpServers": {
3    "respan-docs": {
4      "url": "https://mcp.respan.ai/mcp/docs"
5    }
6  }
7}

In Respan, we support 250+ LLMs across different providers.

Sometimes, though, you may want to:

  • Use your own naming conventions (aliases) for existing models.
  • Add a newly released model from a supported provider before we’ve listed it.

You can do this by creating a custom model in your model list.

Why use a custom model?

Custom models let you create multiple aliases for the same underlying model.

This is useful when:

  • Different use cases: Reuse the same base model but track usage separately.
  • Analytics: Monitor usage by alias, not just the raw model name.
  • Try new models before we’ve listed them.

How to create a custom model

Create model
  1. Go to the Models page and select + Create custom model.
  2. Fill out the form: model name, provider, costs, modality, etc.
  3. Save — your custom model will now appear in the model list.
  4. Copy the model ID and use it in your code.

Copy from a base model

Instead of starting from scratch, you can also copy a base model and give it a new name.

This saves time if you just want multiple aliases of the same model without reconfiguring everything.

FAQ

Can I use a custom model in the LLM Gateway?

Yes — as long as it maps to a valid provider model.

Example: If OpenAI launches gpt-6, you can add it as a custom model and immediately call it through the AI Gateway.

When should I use “copy base model”?

Think of it as a preset. It’s the fastest way to create aliases without re-entering configuration details.