List artifacts — GET /v1/train/artifacts

Answers the org's objects — its uploads and its jobs' outputs, one per sha256 — with what produced each, whether it is published and when retention deletes it.

GET /v1/train/artifacts

Addresshttps://api.hanzo.ai/v1/train/artifacts
MethodGET
Operationget_train_artifacts
AuthAuthorization: Bearer $HANZO_API_KEY

Answers the org's objects — its uploads and its jobs' outputs, one per sha256 — with what produced each, whether it is published and when retention deletes it.

Request

GET /v1/train/artifacts takes no parameters and no body — the credential is the whole request.

Response

StatusBodyMeaning
200train.objectsOutok
defaultproblem-detailsrefused

200 body — 11 fields.

FieldInTypeAlwaysDescription
databodytrain.Object[]—Data is the org's objects, newest first.
data[].expiresbodyinteger (int64)—Expires is when retention deletes it unless published, unix seconds; absent while it is published, pending, or retention keeps everything.
data[].jobsbodystring[]—Jobs are the jobs that produced or hold it; none for an upload.
data[].kindbodystring—Kind is dataset for an upload, else the output kind a job produced it as.
data[].namebodystring—Name labels it.
data[].publishedbodyboolean—Published says a job of the org has it published.
data[].sha256bodystring—SHA256 names the bytes.
data[].sizebodyinteger (int64)—Size is its byte count.
data[].statebodystring—State is pending until its bytes are read back, then stored.
data[].storedbodyinteger (int64)—Stored is when its bytes were read back, unix seconds.
data[].urlbodystring—URL fetches the bytes for ten minutes, on a read of one stored object.

Failure carries the platform error shape — see Errors.

Examples

hanzo has no subcommand for this operation — the CLI serves only what cloud's live route table confirms. Use HTTP or an SDK.

import { Configuration, TrainApi } from 'hanzoai';

const api = new TrainApi(new Configuration({ accessToken: process.env.HANZO_API_KEY }));
const { data } = await api.getTrainArtifacts();
from hanzoai.cloud import ApiClient, Configuration
from hanzoai.cloud.api import TrainApi

client = ApiClient(Configuration(access_token=os.environ["HANZO_API_KEY"]))
result = TrainApi(client).get_train_artifacts()
cfg := hanzoai.NewConfiguration()
cfg.AddDefaultHeader("Authorization", "Bearer "+os.Getenv("HANZO_API_KEY"))
client := hanzoai.NewAPIClient(cfg)

resp, _, err := client.TrainAPI.GetTrainArtifacts(context.Background()).Execute()
if err != nil {
	return err
}
use hanzo_client::apis::{configuration::Configuration, train_api};

let mut cfg = Configuration::new();
cfg.bearer_access_token = std::env::var("HANZO_API_KEY").ok();

let result = train_api::get_train_artifacts(&cfg, Default::default()).await?;
import ai.hanzo.cloud.ApiClient;
import ai.hanzo.cloud.api.TrainApi;

ApiClient client = new ApiClient();
client.setBearerToken(System.getenv("HANZO_API_KEY"));

var result = new TrainApi(client).getTrainArtifacts();
curl https://api.hanzo.ai/v1/train/artifacts \
  -H "Authorization: Bearer $HANZO_API_KEY"

MCP declares no tool for train — tools/list on https://api.hanzo.ai/v1/mcp names the products it does reach. Use HTTP or an SDK.


Train API · All Hanzo APIs · Interactive reference

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