API Reference

List models through the Gemini compatible endpoint

List models through the Gemini compatible endpoint within the current credential scope.

GET https://api.tu-zi.com/v1beta/openai/models

Preview guide

Paste into an AI assistant to help with integration. Documentation and examples only; no real credentials.

# List models through the Gemini compatible endpoint

List models through the Gemini compatible endpoint within the current credential scope.

## Endpoint and authentication

`GET https://api.tu-zi.com/v1beta/openai/models`

Transport: json

Use an inference API key. Examples contain placeholders; read credentials from environment variables.

```http
Authorization: Bearer YOUR_API_KEY
```

## Request parameters

No request body is needed; send the authentication described above.

## Before running

Replace https://api.tu-zi.com with this site origin (do not append /v1 twice), and YOUR_MODEL with the exact marketplace model ID. Install requests for Python; use Node.js 20+ and save JavaScript as .mjs. WebSocket samples list their own dependencies.

Create an inference key on the site and set API_KEY in the environment; replace YOUR_API_KEY in cURL. Prepare local input.png/input.wav files for upload examples.

Start with a minimal request, then read the result using the response fields below. For async APIs, a returned task ID requires polling; acceptance does not mean generation has finished.

## Code examples

### curl

```bash
curl --request GET 'https://api.tu-zi.com/v1beta/openai/models' \
  --header 'Authorization: Bearer YOUR_API_KEY'
```

### python

```python
import json
import os
import requests

url = "https://api.tu-zi.com/v1beta/openai/models"
headers = json.loads("{\"Authorization\":\"Bearer YOUR_API_KEY\"}")
headers["Authorization"] = "Bearer " + os.environ["API_KEY"]
response = requests.request("GET", url, headers=headers, timeout=120)
response.raise_for_status()
result = response.json()
if isinstance(result, dict) and (result.get("success") is False or result.get("error")):
    raise RuntimeError(json.dumps(result, ensure_ascii=False))
print(result)  # Also inspect protocol-specific status/code fields.
```

### javascript

```javascript
// Node.js 20+
const url = "https://api.tu-zi.com/v1beta/openai/models";
const headers = {
  "Authorization": "Bearer YOUR_API_KEY"
};
headers.Authorization = 'Bearer ' + process.env.API_KEY;
const response = await fetch(url, { method: "GET", headers });
if (!response.ok) throw new Error(await response.text());
const result = await response.json();
if (result?.success === false || result?.error) throw new Error(JSON.stringify(result));
console.log(result); // Also inspect protocol-specific status/code fields.
```

## Response fields

| Field | Type | Description / constraints |
| --- | --- | --- |
| object | string | List type. |
| data[].id | string | Exact model ID for requests. |
| data[].object | string | Model object type. |
| data[].owned_by | string | Model owner label. |

Illustrative response; some endpoints show essential fields only. Optional fields may be absent.

```json
{
  "success": true,
  "data": {}
}
```

## Errors and retries

Check HTTP status and protocol-specific errors; do not mix error formats across protocols. For 401/403 check credentials and permissions, for 429 back off, and for 5xx check gateway/upstream status. Error bodies may contain error/message/code depending on the protocol.

Use bounded exponential backoff for reads. Do not blindly retry task creation, generation, or key mutations, to avoid duplicate billing or execution.

## Constraints

Visibility follows key, group and account permissions. Listing does not guarantee support on every protocol.

## Documentation source

Definition version: 1

Reviewed: 2026-11-02

Source: https://api.tu-zi.com/en/docs/api/reference-models-gemini-openai

This export contains documentation and examples only, without real credentials, account data or user requests.

Updated 2026-11-02 · Reviewed 2026-11-02

Endpoint and authentication

GET https://api.tu-zi.com/v1beta/openai/models

Transport: json

Use an inference API key. Examples contain placeholders; read credentials from environment variables.

Authorization: Bearer YOUR_API_KEY

Before running

Replace https://api.tu-zi.com with this site origin (do not append /v1 twice), and YOUR_MODEL with the exact marketplace model ID. Install requests for Python; use Node.js 20+ and save JavaScript as .mjs. WebSocket samples list their own dependencies.

Create an inference key on the site and set API_KEY in the environment; replace YOUR_API_KEY in cURL. Prepare local input.png/input.wav files for upload examples.

Start with a minimal request, then read the result using the response fields below. For async APIs, a returned task ID requires polling; acceptance does not mean generation has finished.

Constraints

Visibility follows key, group and account permissions. Listing does not guarantee support on every protocol.

Request parameters

No request body is needed; send the authentication described above.

Response fields

Field	Type	Description / constraints
object	string	List type.
data[].id	string	Exact model ID for requests.
data[].object	string	Model object type.
data[].owned_by	string	Model owner label.

Illustrative response; some endpoints show essential fields only. Optional fields may be absent.

{
  "success": true,
  "data": {}
}

Errors and retries

Check HTTP status and protocol-specific errors; do not mix error formats across protocols. For 401/403 check credentials and permissions, for 429 back off, and for 5xx check gateway/upstream status. Error bodies may contain error/message/code depending on the protocol.

Use bounded exponential backoff for reads. Do not blindly retry task creation, generation, or key mutations, to avoid duplicate billing or execution.

Document information and sources

Documentation source

Definition version: 1

Reviewed: 2026-11-02

Source: https://api.tu-zi.com/en/docs/api/reference-models-gemini-openai

This export contains documentation and examples only, without real credentials, account data or user requests.

Request examples

curl --request GET 'https://api.tu-zi.com/v1beta/openai/models' \
  --header 'Authorization: Bearer YOUR_API_KEY'

import json
import os
import requests

url = "https://api.tu-zi.com/v1beta/openai/models"
headers = json.loads("{\"Authorization\":\"Bearer YOUR_API_KEY\"}")
headers["Authorization"] = "Bearer " + os.environ["API_KEY"]
response = requests.request("GET", url, headers=headers, timeout=120)
response.raise_for_status()
result = response.json()
if isinstance(result, dict) and (result.get("success") is False or result.get("error")):
    raise RuntimeError(json.dumps(result, ensure_ascii=False))
print(result)  # Also inspect protocol-specific status/code fields.

// Node.js 20+
const url = "https://api.tu-zi.com/v1beta/openai/models";
const headers = {
  "Authorization": "Bearer YOUR_API_KEY"
};
headers.Authorization = 'Bearer ' + process.env.API_KEY;
const response = await fetch(url, { method: "GET", headers });
if (!response.ok) throw new Error(await response.text());
const result = await response.json();
if (result?.success === false || result?.error) throw new Error(JSON.stringify(result));
console.log(result); // Also inspect protocol-specific status/code fields.