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# LLM Routing
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This demo shows how you can arch gateway to manage keys and route to appropriate LLM.
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# Starting the demo
1. Please make sure the [pre-requisites ](https://github.com/katanemo/arch/?tab=readme-ov-file#prerequisites ) are installed correctly
1. Start Arch
```sh
sh run_demo.sh
```
1. Navigate to http://localhost:18080/
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Following screen shows an example of interaction with arch gateway showing dynamic routing. You can select between different LLMs using "override model" option in the chat UI.

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You can also pass in a header to override model when sending prompt. Following example shows how you can use `x-arch-llm-provider-hint` header to override model selection,
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```bash
$ curl --header 'Content-Type: application/json' \
--header 'x-arch-llm-provider-hint: ministral-3b' \
--data '{"messages": [{"role": "user","content": "hello"}]}' \
http://localhost:12000/v1/chat/completions 2> /dev/null | jq .
{
"id": "xxx",
"object": "chat.completion",
"created": 1737760394,
"model": "ministral-3b-latest",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"tool_calls": null,
"content": "Hello! How can I assist you today? Let's chat about anything you'd like. 😊"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 4,
"total_tokens": 25,
"completion_tokens": 21
}
}
```
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# Observability
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Arch gateway publishes stats endpoint at http://localhost:19901/stats. In this demo we are using prometheus to pull stats from arch and we are using grafana to visualize the stats in dashboard. To see grafana dashboard follow instructions below,
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1. Navigate to http://localhost:3000/ to open grafana UI (use admin/grafana as credentials)
1. From grafana left nav click on dashboards and select "Intelligent Gateway Overview" to view arch gateway stats
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1. For tracing you can head over to http://localhost:16686/ to view recent traces.
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Following is a screenshot of tracing UI showing call received by arch gateway and making upstream call to LLM,
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