List models
Answers each base the caller can train today, in one shape: the base, the methods it trains by (adaptations), where it runs (runs: Hanzo's devices or the org's machines) with what one device-second costs there in nano-USD, then the resources that run it (nouns), its executor and devices, and the protections, objective terms, outputs and dataset schemes it takes.
GET /v1/train/models
| Address | https://api.hanzo.ai/v1/train/models |
| Method | GET |
| Operation | get_train_models |
| Auth | Authorization: Bearer $HANZO_API_KEY |
Answers each base the caller can train today, in one shape: the base, the methods it trains by (adaptations), where it runs (runs: Hanzo's devices or the org's machines) with what one device-second costs there in nano-USD, then the resources that run it (nouns), its executor and devices, and the protections, objective terms, outputs and dataset schemes it takes. Bases are ordered by name, a base's runs by place, then price. A create is validated against the same rows, and a noun the caller cannot start is not listed: the engine's clients are a SuperAdmin's.
Request
GET /v1/train/models takes no parameters and no body — the credential is the whole request.
Response
| Status | Body | Meaning |
|---|---|---|
200 | train.catalog | ok |
default | problem-details | refused |
200 body — 14 fields.
| Field | In | Type | Always | Description |
|---|---|---|---|---|
data | body | train.Family[] | — | Data is every base the caller can train, each with its methods, where it runs and what a device-second costs there. |
data[].adaptations | body | string[] | — | Adaptations are the methods it trains by: a create's adaptation.mode. |
data[].base | body | string | — | Base is the base model: kai, or engine for the models the engine loads. |
data[].datasets | body | string[] | — | Datasets are the dataset URI schemes it reads. |
data[].devices | body | string[] | — | Devices are the accelerator kinds it runs on, wherever it runs. |
data[].executor | body | string | — | Executor is what runs it. |
data[].nouns | body | string[] | — | Nouns are the resources that run it: jobs, clients. |
data[].outputs | body | string[] | — | Outputs are the output kinds it produces. |
data[].protect | body | string[] | — | Protect are the protections it runs: projection, distillation, capabilities. |
data[].runs | body | train.Run[] | — | Runs are where it runs, each with what a device-second costs there. |
data[].runs[].devices | body | string[] | — | Devices are the accelerator kinds it runs on there; none is the executor's own. |
data[].runs[].price_nano_usd | body | integer (int64) | — | Price is what one device-second costs there, in nano-USD: 0 on the org's machines. |
data[].runs[].where | body | string | — | Where is hanzo, Hanzo's devices, charged by the device-second to the payer inside the job's budget; or machines, the org's linked machines, charged nothing. |
data[].terms | body | string[] | — | Terms are the objective terms it runs. |
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.getTrainModels();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_models()cfg := hanzoai.NewConfiguration()
cfg.AddDefaultHeader("Authorization", "Bearer "+os.Getenv("HANZO_API_KEY"))
client := hanzoai.NewAPIClient(cfg)
resp, _, err := client.TrainAPI.GetTrainModels(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_models(&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).getTrainModels();curl https://api.hanzo.ai/v1/train/models \
-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.