Checkpoints
Permissions
List checkpoint permissions
PermissionRetrieveResponse fineTuning().checkpoints().permissions().retrieve(PermissionRetrieveParamsparams = PermissionRetrieveParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
get /fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions
NOTE: This endpoint requires an admin API key.
Organization owners can use this endpoint to view all permissions for a fine-tuned model checkpoint.
Parameters
-
PermissionRetrieveParams params-
Optional<String> fineTunedModelCheckpoint -
Optional<String> afterIdentifier for the last permission ID from the previous pagination request.
-
Optional<Long> limitNumber of permissions to retrieve.
-
Optional<Order> orderThe order in which to retrieve permissions.
-
ASCENDING("ascending") -
DESCENDING("descending")
-
-
Optional<String> projectIdThe ID of the project to get permissions for.
-
Returns
-
class PermissionRetrieveResponse:-
List<Data> data-
String idThe permission identifier, which can be referenced in the API endpoints.
-
long createdAtThe Unix timestamp (in seconds) for when the permission was created.
-
JsonValue; object_ "checkpoint.permission"constantThe object type, which is always "checkpoint.permission".
CHECKPOINT_PERMISSION("checkpoint.permission")
-
String projectIdThe project identifier that the permission is for.
-
-
boolean hasMore -
JsonValue; object_ "list"constantLIST("list")
-
Optional<String> firstId -
Optional<String> lastId
-
Example
package com.openai.example;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.finetuning.checkpoints.permissions.PermissionRetrieveParams;
import com.openai.models.finetuning.checkpoints.permissions.PermissionRetrieveResponse;
public final class Main {
private Main() {}
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
PermissionRetrieveResponse permission = client.fineTuning().checkpoints().permissions().retrieve("ft-AF1WoRqd3aJAHsqc9NY7iL8F");
}
}
Response
{
"data": [
{
"id": "id",
"created_at": 0,
"object": "checkpoint.permission",
"project_id": "project_id"
}
],
"has_more": true,
"object": "list",
"first_id": "first_id",
"last_id": "last_id"
}
List checkpoint permissions
PermissionListPage fineTuning().checkpoints().permissions().list(PermissionListParamsparams = PermissionListParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
get /fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions
NOTE: This endpoint requires an admin API key.
Organization owners can use this endpoint to view all permissions for a fine-tuned model checkpoint.
Parameters
-
PermissionListParams params-
Optional<String> fineTunedModelCheckpoint -
Optional<String> afterIdentifier for the last permission ID from the previous pagination request.
-
Optional<Long> limitNumber of permissions to retrieve.
-
Optional<Order> orderThe order in which to retrieve permissions.
-
ASCENDING("ascending") -
DESCENDING("descending")
-
-
Optional<String> projectIdThe ID of the project to get permissions for.
-
Returns
-
class PermissionListResponse:The
checkpoint.permissionobject represents a permission for a fine-tuned model checkpoint.-
String idThe permission identifier, which can be referenced in the API endpoints.
-
long createdAtThe Unix timestamp (in seconds) for when the permission was created.
-
JsonValue; object_ "checkpoint.permission"constantThe object type, which is always "checkpoint.permission".
CHECKPOINT_PERMISSION("checkpoint.permission")
-
String projectIdThe project identifier that the permission is for.
-
Example
package com.openai.example;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.finetuning.checkpoints.permissions.PermissionListPage;
import com.openai.models.finetuning.checkpoints.permissions.PermissionListParams;
public final class Main {
private Main() {}
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
PermissionListPage page = client.fineTuning().checkpoints().permissions().list("ft-AF1WoRqd3aJAHsqc9NY7iL8F");
}
}
Response
{
"data": [
{
"id": "id",
"created_at": 0,
"object": "checkpoint.permission",
"project_id": "project_id"
}
],
"has_more": true,
"object": "list",
"first_id": "first_id",
"last_id": "last_id"
}
Create checkpoint permissions
PermissionCreatePage fineTuning().checkpoints().permissions().create(PermissionCreateParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
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
-
PermissionCreateParams params-
Optional<String> fineTunedModelCheckpoint -
List<String> projectIdsThe project identifiers to grant access to.
-
Returns
-
class PermissionCreateResponse:The
checkpoint.permissionobject represents a permission for a fine-tuned model checkpoint.-
String idThe permission identifier, which can be referenced in the API endpoints.
-
long createdAtThe Unix timestamp (in seconds) for when the permission was created.
-
JsonValue; object_ "checkpoint.permission"constantThe object type, which is always "checkpoint.permission".
CHECKPOINT_PERMISSION("checkpoint.permission")
-
String projectIdThe project identifier that the permission is for.
-
Example
package com.openai.example;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.finetuning.checkpoints.permissions.PermissionCreatePage;
import com.openai.models.finetuning.checkpoints.permissions.PermissionCreateParams;
public final class Main {
private Main() {}
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
PermissionCreateParams params = PermissionCreateParams.builder()
.fineTunedModelCheckpoint("ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd")
.addProjectId("string")
.build();
PermissionCreatePage page = client.fineTuning().checkpoints().permissions().create(params);
}
}
Response
{
"data": [
{
"id": "id",
"created_at": 0,
"object": "checkpoint.permission",
"project_id": "project_id"
}
],
"has_more": true,
"object": "list",
"first_id": "first_id",
"last_id": "last_id"
}
Delete checkpoint permission
PermissionDeleteResponse fineTuning().checkpoints().permissions().delete(PermissionDeleteParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
delete /fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions/{permission_id}
NOTE: This endpoint requires an admin API key.
Organization owners can use this endpoint to delete a permission for a fine-tuned model checkpoint.
Parameters
-
PermissionDeleteParams params-
String fineTunedModelCheckpoint -
Optional<String> permissionId
-
Returns
-
class PermissionDeleteResponse:-
String idThe ID of the fine-tuned model checkpoint permission that was deleted.
-
boolean deletedWhether the fine-tuned model checkpoint permission was successfully deleted.
-
JsonValue; object_ "checkpoint.permission"constantThe object type, which is always "checkpoint.permission".
CHECKPOINT_PERMISSION("checkpoint.permission")
-
Example
package com.openai.example;
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.finetuning.checkpoints.permissions.PermissionDeleteParams;
import com.openai.models.finetuning.checkpoints.permissions.PermissionDeleteResponse;
public final class Main {
private Main() {}
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.fromEnv();
PermissionDeleteParams params = PermissionDeleteParams.builder()
.fineTunedModelCheckpoint("ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd")
.permissionId("cp_zc4Q7MP6XxulcVzj4MZdwsAB")
.build();
PermissionDeleteResponse permission = client.fineTuning().checkpoints().permissions().delete(params);
}
}
Response
{
"id": "id",
"deleted": true,
"object": "checkpoint.permission"
}