forked from phoenix/litellm-mirror
docs(realtime.md): add new /v1/realtime endpoint
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docs/my-website/docs/realtime.md
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docs/my-website/docs/realtime.md
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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# Realtime Endpoints
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Use this to loadbalance across Azure + OpenAI.
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## Proxy Usage
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### Add model to config
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<Tabs>
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<TabItem value="openai" label="OpenAI">
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```yaml
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model_list:
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- model_name: openai-gpt-4o-realtime-audio
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litellm_params:
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model: openai/gpt-4o-realtime-preview-2024-10-01
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api_key: os.environ/OPENAI_API_KEY
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```
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</TabItem>
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<TabItem value="openai+azure" label="OpenAI + Azure">
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```yaml
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model_list:
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- model_name: gpt-4o
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litellm_params:
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model: azure/gpt-4o-realtime-preview
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api_key: os.environ/AZURE_SWEDEN_API_KEY
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api_base: os.environ/AZURE_SWEDEN_API_BASE
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- model_name: openai-gpt-4o-realtime-audio
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litellm_params:
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model: openai/gpt-4o-realtime-preview-2024-10-01
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api_key: os.environ/OPENAI_API_KEY
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```
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</TabItem>
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</Tabs>
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### Start proxy
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```bash
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litellm --config /path/to/config.yaml
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# RUNNING on http://0.0.0.0:8000
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```
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### Test
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Run this script using node - `node test.js`
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```js
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// test.js
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const WebSocket = require("ws");
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const url = "ws://0.0.0.0:4000/v1/realtime?model=openai-gpt-4o-realtime-audio";
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// const url = "wss://my-endpoint-sweden-berri992.openai.azure.com/openai/realtime?api-version=2024-10-01-preview&deployment=gpt-4o-realtime-preview";
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const ws = new WebSocket(url, {
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headers: {
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"api-key": `f28ab7b695af4154bc53498e5bdccb07`,
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"OpenAI-Beta": "realtime=v1",
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},
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});
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ws.on("open", function open() {
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console.log("Connected to server.");
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ws.send(JSON.stringify({
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type: "response.create",
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response: {
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modalities: ["text"],
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instructions: "Please assist the user.",
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}
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}));
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});
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ws.on("message", function incoming(message) {
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console.log(JSON.parse(message.toString()));
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});
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ws.on("error", function handleError(error) {
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console.error("Error: ", error);
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});
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```
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@ -221,6 +221,7 @@ const sidebars = {
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"rerank",
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"assistants",
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"batches",
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"realtime",
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"fine_tuning",
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{
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type: "link",
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