Create checkpoint permissions
fine_tuning.checkpoints.permissions.create(strfine_tuned_model_checkpoint, PermissionCreateParams**kwargs) -> SyncPage[PermissionCreateResponse]
POST/fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions
NOTE: Calling this endpoint requires an admin API key.
This enables organization owners to share fine-tuned models with other projects in their organization.
Parameters
fine_tuned_model_checkpoint: str
The project identifiers to grant access to.
Returns
Create checkpoint permissions
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("OPENAI_API_KEY"), # This is the default and can be omitted
)
page = client.fine_tuning.checkpoints.permissions.create(
fine_tuned_model_checkpoint="ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd",
project_ids=["string"],
)
page = page.data[0]
print(page.id){
"object": "list",
"data": [
{
"object": "checkpoint.permission",
"id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
"created_at": 1721764867,
"project_id": "proj_abGMw1llN8IrBb6SvvY5A1iH"
}
],
"first_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
"last_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
"has_more": false
}
Returns Examples
{
"object": "list",
"data": [
{
"object": "checkpoint.permission",
"id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
"created_at": 1721764867,
"project_id": "proj_abGMw1llN8IrBb6SvvY5A1iH"
}
],
"first_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
"last_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
"has_more": false
}