Create batch inference job (Bedrock format)
Creates a batch inference job using AWS Bedrock format.
Routes to native Bedrock by default; set x-model-provider to route the
job to another provider (openai, gemini, etc.).
AuthorizationBearer <token>
Bearer token authentication. Use your MPilot virtual-key JWT or admin JWT.
Virtual keys (prefixed with sk-bf-) can also be passed here.
In: header
Header Parameters
x-model-provider?string
Optional provider override for cross-provider batch routing.
modelId?string
Model ID for the batch job (optional, can be specified in request)
jobName?string
Name for the batch job
roleArnstring
IAM role ARN for the job
inputDataConfigobject
outputDataConfigobject
timeoutDurationInHours?integer
Timeout in hours
tags?array<object>
Response Body
curl -X POST "https://loading/{AI_GATEWAY_URL}/bedrock/model-invocation-job" \ -H "x-model-provider: string" \ -H "Content-Type: application/json" \ -d '{ "roleArn": "string", "inputDataConfig": {}, "outputDataConfig": {} }'{
"jobArn": "string",
"status": "Submitted",
"jobName": "string",
"modelId": "string",
"roleArn": "string",
"inputDataConfig": {},
"outputDataConfig": {},
"vpcConfig": {
"securityGroupIds": [
"string"
],
"subnetIds": [
"string"
]
},
"submitTime": "2019-08-24T14:15:22Z",
"lastModifiedTime": "2019-08-24T14:15:22Z",
"endTime": "2019-08-24T14:15:22Z",
"message": "string",
"clientRequestToken": "string",
"jobExpirationTime": "2019-08-24T14:15:22Z",
"timeoutDurationInHours": 0
}{
"message": "string",
"type": "string"
}{
"message": "string",
"type": "string"
}