/realtime
使用這個來在 Azure + OpenAI + xAI 等之間進行負載平衡。
支援的提供者:
- OpenAI
- Azure
- xAI (查看完整文件)
- Google AI Studio (Gemini)
- Vertex AI
- Bedrock
代理程式用法
將模型加入設定檔
- OpenAI
- OpenAI + Azure
- xAI Grok 語音代理程式
model_list:
- model_name: openai-gpt-4o-realtime-audio
litellm_params:
model: openai/gpt-4o-realtime-preview-2024-10-01
api_key: os.environ/OPENAI_API_KEY
model_info:
mode: realtime
model_list:
- model_name: gpt-4o
litellm_params:
model: azure/gpt-4o-realtime-preview
api_key: os.environ/AZURE_SWEDEN_API_KEY
api_base: os.environ/AZURE_SWEDEN_API_BASE
- model_name: openai-gpt-4o-realtime-audio
litellm_params:
model: openai/gpt-4o-realtime-preview-2024-10-01
api_key: os.environ/OPENAI_API_KEY
model_list:
- model_name: grok-voice-agent
litellm_params:
model: xai/grok-voice-latest
api_key: os.environ/XAI_API_KEY
model_info:
mode: realtime
啟動代理程式
litellm --config /path/to/config.yaml
# RUNNING on http://0.0.0.0:8000
測試
使用 node 執行這個腳本 - node test.js
// test.js
const WebSocket = require("ws");
const url = "ws://0.0.0.0:4000/v1/realtime?model=openai-gpt-4o-realtime-audio";
// const url = "wss://my-azure-endpoint.openai.azure.com/openai/realtime?api-version=2024-10-01-preview&deployment=gpt-4o-realtime-preview";
const ws = new WebSocket(url, {
headers: {
"api-key": `sk-1234`,
"OpenAI-Beta": "realtime=v1",
},
});
ws.on("open", function open() {
console.log("Connected to server.");
ws.send(JSON.stringify({
type: "response.create",
response: {
modalities: ["text"],
instructions: "Please assist the user.",
}
}));
});
ws.on("message", function incoming(message) {
console.log(JSON.parse(message.toString()));
});
ws.on("error", function handleError(error) {
console.error("Error: ", error);
});
防護欄
您可以將 LiteLLM 防護欄 套用到即時工作階段。
在金鑰或團隊上設定防護欄
最簡單的正式環境設定方式——將防護欄附加到虛擬金鑰或團隊上,讓它們自動套用,且無需任何用戶端端的變更。
請參閱 虛擬金鑰 → 防護欄 和 團隊 → 防護欄。
動態傳遞防護欄(方便測試)
在開啟 WebSocket 時,將 guardrails 作為查詢參數傳入。
適合在不修改金鑰/團隊設定的情況下測試防護欄。
// node test.js
const WebSocket = require("ws");
const guardrails = ["your-guardrail-name"]; // comma-separated list
const url = `ws://0.0.0.0:4000/v1/realtime?model=openai-gpt-4o-realtime-audio&guardrails=${guardrails.join(",")}`;
const ws = new WebSocket(url, {
headers: {
"Authorization": "Bearer sk-1234",
},
});
ws.on("open", function open() {
console.log("Connected — guardrails active:", guardrails);
});
ws.on("message", function incoming(message) {
const data = JSON.parse(message);
if (data.type === "error") {
// Guardrail block is sent as an error event before the connection closes
console.error("Guardrail error:", data.error.message);
}
});
ws.on("close", function close(code, reason) {
console.log("Closed:", code, reason.toString());
// code 1011 = blocked by guardrail at pre_call
});
或者使用 Python:
import asyncio
import websockets
async def main():
url = "ws://0.0.0.0:4000/v1/realtime?model=openai-gpt-4o-realtime-audio&guardrails=your-guardrail-name"
async with websockets.connect(
url,
additional_headers={"Authorization": "Bearer sk-1234"},
) as ws:
print("Connected — guardrail active")
async for msg in ws:
import json
data = json.loads(msg)
if data["type"] == "error":
print("Guardrail blocked:", data["error"]["message"])
break
asyncio.run(main())
當防護欄封鎖請求時,代理程式會透過 WebSocket 傳送一個 error 事件,然後關閉連線:
{
"type": "error",
"error": {
"type": "guardrail_error",
"message": "Guardrail blocked this request: <reason>"
}
}
記錄
為避免請求被丟棄,LiteLLM 預設只會記錄這些事件類型:
session.createdresponse.createresponse.done
您可以在設定檔中設定 logged_real_time_event_types 參數來覆寫這個行為。例如:
litellm_settings:
logged_real_time_event_types: "*" # Log all events
## OR ##
logged_real_time_event_types: ["session.created", "response.create", "response.done"] # Log only these event types