# Configure model routing in LLM Proxy

Send model calls through a controlled path with provider, fallback, and policy context.

- Category: LLM Proxy
- Last updated: 2026-07-15
- URL: https://help.irongorilla.ai/articles/configure-model-routing-in-llm-proxy

## Route model calls through one governed path

LLM Proxy gives model traffic a consistent route. That route can record provider, latency, token usage, cost, [policy decisions](/articles/create-a-policy-from-plain-language), and refusal context before a response becomes part of an agent run.

## Supported OpenAI models

OpenAI supports general reasoning, coding, realtime voice, transcription, and embeddings through the managed catalog.

- General and chat — GPT-5.2, GPT-5.1, GPT-5, GPT-5 mini, GPT-5 nano, GPT-5.2 Chat*, GPT-5.1 Chat*, and GPT-5 Chat*.
- Coding — GPT-5.2 Codex, GPT-5.1 Codex Max, GPT-5.1 Codex, and GPT-5 Codex.
- Higher-compute reasoning — GPT-5.2 pro and GPT-5 pro.
- Earlier general models — GPT-4.1, GPT-4.1 mini, GPT-4.1 nano, GPT-4o, and GPT-4o mini.
- Voice and transcription — GPT Realtime 2.1 and GPT Realtime Whisper.
- Embeddings — Text Embedding 3 Small.

> * Chat-labeled models are supported, but are not recommended for long-running fully autonomous agents. Prefer a general or reasoning model for autonomous loops. The Chat label is not a requirement for Iron Gorilla chat: supported non-Chat models work with the chat feature too.

## Supported Anthropic models

- Claude Opus 4.8
- Claude Sonnet 4.6
- Claude Haiku 4.5

## Supported xAI models

Grok 4.5 adds xAI as another provider in the existing proxy. It supports chat and tool use with a large context window. It appears only when the xAI provider and model are enabled for your organization.

## Choose preferred and fallback pairs

Review the enabled catalog, then choose preferred and fallback provider-model pairs for the default route or a narrower team, agent, or environment scope. Existing routes without a model choice continue to follow the request model.

Availability depends on provider enablement, model enablement, and organization policy; the catalog in LLM Proxy is the source of truth for your workspace. Apply [policies](/articles/create-a-policy-from-plain-language) before requests leave the boundary, and use an [LLM trace](/articles/read-an-llm-trace) to explain one call.

## Related articles

- [Read an LLM trace](https://help.irongorilla.ai/articles/read-an-llm-trace)
- [Create a policy from plain language](https://help.irongorilla.ai/articles/create-a-policy-from-plain-language)
- [Investigate blocked actions](https://help.irongorilla.ai/articles/investigate-blocked-actions)

## Support

Need help? Tell us where you got stuck: https://help.irongorilla.ai/contact