import requests

url = "https://application_id.applications.lucidworks.com/ai/prediction/standalone-query-rewriter/{MODEL_ID}"

payload = {
    "batch": [{ "text": "Is it a framework?" }],
    "useCaseConfig": { "memoryUuid": "27a887fe-3d7c-4ef0-9597-e2dfc054c20e" },
    "modelConfig": {
        "temperature": 0.8,
        "topP": 1,
        "topK": -1,
        "presencePenalty": 2,
        "frequencyPenalty": 1,
        "maxTokens": 1,
        "apiKey": "API key specific to use case and model",
        "azureDeployment": "DEPLOYMENT_NAME",
        "azureEndpoint": "https://azure.endpoint.com",
        "googleProjectId": "[GOOGLE_PROJECT_ID]",
        "googleRegion": "[GOOGLE_PROJECT_REGION_OF_MODEL_ACCESS]"
    }
}
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

{
  "predictions": [
    {
      "response": "Is RAG a framework?",
      "tokensUsed": {
        "promptTokens": 148,
        "completionTokens": 27,
        "totalTokens": 175
      }
    }
  ]
}