POST
/
ai
/
async-prediction
/
passthrough
/
{MODEL_ID}
Passthrough use case
curl --request POST \
  --url https://application_id.applications.lucidworks.com/ai/async-prediction/passthrough/{MODEL_ID} \
  --header 'Content-Type: application/json' \
  --data '{
  "batch": [
    {
      "text": "[{\\\"role\\\": \\\"system\\\", \\\"content\\\": \\\"You are a helpful utility program instructed to accomplish a word correction task. Provide the most likely suggestion to the user without an preamble or elaboration.\\\"}, {\\\"role\\\": \\\"user\\\", \\\"content\\\": \\\"misspeled\\\"}, {\\\"role\\\": \\\"assistant\\\", \\\"content\\\": \\\"CORRECT:\\\"}]"
    }
  ],
  "useCaseConfig": {
    "useSystemPrompt": true,
    "dataType": "text"
  },
  "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]"
  }
}'
{
  "predictionId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "status": "SUBMITTED"
}

Headers

Authorization: Bearer ACCESS_TOKEN
string

The authentication and authorization access token.

Content-Type
string

application/json

Example:

"application/json"

Path Parameters

MODEL_ID
string
required

Unique identifier for the model.

Example:

"6a092bd4-5098-466c-94aa-40bf6829430\""

Body

application/json

Response

200
application/json

OK

This is the response to the POST prediction request submitted for a specific useCase and modelId.