GraphQL API Issue: Launching Pod Fails (GRAPHQL_VALIDATION_FAILED)
I'm unable to launch a specific pod configuration via the GraphQL API (podFindAndDeployOnDemand at https://api.runpod.io/graphql), consistently getting an HTTP 400 GRAPHQL_VALIDATION_FAILED error.
My myself query works fine with the same API key.
Target Configuration:
GPU: NVIDIA A40
Image: runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04
Network Volume ID: hlm2fs1bpr (at /workspace)
Ports: 8888/http, 8188/http, 22/tcp
Container Disk: 20 GB
Attempts:
Using templateId="runpod-torch-v240" (like the UI sends) -> fails validation.
Using imageName with various input parameters (minimal, mimicking UI details like minMemoryInGb, dataCenterId, etc.) -> also fails validation.
Example Failed Input (using imageName):
{
"input": {
"imageName": "runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04",
"gpuTypeId": "NVIDIA A40",
"containerDiskInGb": 20,
"ports": "8888/http,8188/http,22/tcp",
"networkVolumeId": "hlm2fs1bpr",
"volumeMountPath": "/workspace"
}
}
Question:
What is the correct input structure required by the API to launch this specific configuration successfully?
My myself query works fine with the same API key.
Target Configuration:
GPU: NVIDIA A40
Image: runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04
Network Volume ID: hlm2fs1bpr (at /workspace)
Ports: 8888/http, 8188/http, 22/tcp
Container Disk: 20 GB
Attempts:
Using templateId="runpod-torch-v240" (like the UI sends) -> fails validation.
Using imageName with various input parameters (minimal, mimicking UI details like minMemoryInGb, dataCenterId, etc.) -> also fails validation.
Example Failed Input (using imageName):
{
"input": {
"imageName": "runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04",
"gpuTypeId": "NVIDIA A40",
"containerDiskInGb": 20,
"ports": "8888/http,8188/http,22/tcp",
"networkVolumeId": "hlm2fs1bpr",
"volumeMountPath": "/workspace"
}
}
Question:
What is the correct input structure required by the API to launch this specific configuration successfully?
