GitHub Copilot

To create the same configuration in the UI, follow these steps.

1. Set your OpenAI API key, create a configuration file with an empty llm section, and start agentgateway. The UI checks that the OPENAI_API_KEY environment variable exists when you save the model.

   export OPENAI_API_KEY='<your-api-key>'
   cat > config.yaml <<'EOF'
   llm:
     models: []
   EOF
   agentgateway -f config.yaml

2. Add the model.

   1. Open LLM > Models, such as http://localhost:15000/ui/llm/models, and click Add model.

   2. From the Provider dropdown, select OpenAI.

   3. In the Incoming model match field, replace the default openai/* with *.

   4. For the Provider API key, select Env var, and enter OPENAI_API_KEY.

      

      

   5. Click Save model.

3. Serve LLM traffic on port 3000.

   1. Open the Gateway Overview page, such as http://localhost:15000/ui/.

   2. On the LLM row, click Settings.

   3. Enter 3000 for the Port, and click Save settings.

      

      

The UI writes the same deprecated llm.port field as the Config file tab, plus an empty llm.gateways list. If your configuration defines gateways, the Settings drawer shows a Gateway dropdown instead of Port, and binds LLM traffic to the gateway that you select. The UI also writes the provider as openai instead of openAI. Agentgateway accepts both values.

Whether the UI can save depends on your storage mode. For more information, see Save changes from the UI.