servicenow-ai-aprielguard
Version: 1
ServiceNow-AI/AprielGuard powered by vLLM
Chat Completions API
Send Request
You can use cURL or any REST Client to send a request to the Azure ML endpoint with your Azure ML token.curl <AZUREML_ENDPOINT_URL> \
-X POST \
-H "Authorization: Bearer <AZUREML_TOKEN>" \
-H "Content-Type: application/json" \
-d '{"model":"ServiceNow-AI/AprielGuard","messages":[{"role":"user","content":"What is Deep Learning?"}]}'
Supported Parameters
The following are the only mandatory parameters to send in the HTTP POST request tov1/chat/completions.
- model (string): Model ID used to generate the response, in this case since only a single model is deployed within the same endpoint you can either set it to ServiceNow-AI/AprielGuard or leave it blank instead.
- messages (array): A list of messages comprising the conversation so far. Depending on the model you use, different message types (modalities) are supported, like text, images, and audio.
/openapi.json for the current Azure ML Endpoint.
Example payload
{
"model": "ServiceNow-AI/AprielGuard",
"messages": [
{"role":"user","content":"What is Deep Learning?"}
],
"max_completion_tokens": 256,
"temperature": 0.6
}
Model Specifications
LicenseMit
Last UpdatedDecember 2025
ProviderHugging Face