OpenAI-compatible

Models

Use the Privatemode model API to get a list of currently available models. The API is compatible with the OpenAI list models API. To list models, send your requests to the Privatemode proxy.

GET/v1/models

Returns

The response is a list of model objects.

objectstring

Always "list".

datalist

The currently available models.

Show properties

idstring

The model ID. Note: Starting with v1.28.0, shortened model IDs (without prefixes and suffixes) were introduced. For backward compatibility, the original full model IDs remain supported, so this endpoint may return both the shortened and the full model IDs for older models. This duplication doesn't affect the behavior of any other endpoints.

objectstring

Always "model".

taskslist

The tasks the model supports: embed (create vector representations of input text), generate (generate text completions or chat responses from prompts), tool_calling (invoke function calls or tools, such as retrieval-augmented generation or plugins), and vision (process image inputs). Note: tasks isn't part of the OpenAI API spec.

Example request

#!/usr/bin/env bash

curl http://localhost:8080/v1/models \
  -H "Authorization: Bearer ${PRIVATE_MODE_API_KEY}"

import os

from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("PRIVATE_MODE_API_KEY"),
    base_url="http://localhost:8080/v1",
)

for model in client.models.list():
    print(model.id)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.PRIVATE_MODE_API_KEY,
  baseURL: 'http://localhost:8080/v1',
});

for await (const model of client.models.list()) {
  console.log(model.id);
}

package main

import (
	"context"
	"fmt"
	"os"

	"github.com/openai/openai-go/v3"
	"github.com/openai/openai-go/v3/option"
)

func main() {
	client := openai.NewClient(
		option.WithAPIKey(os.Getenv("PRIVATE_MODE_API_KEY")),
		option.WithBaseURL("http://localhost:8080/v1"),
	)

	models, err := client.Models.List(context.Background())
	if err != nil {
		panic(err)
	}

	for _, model := range models.Data {
		fmt.Println(model.ID)
	}
}

Example response

{
  "object": "list",
  "data": [
    {
      "id": "gpt-oss-120b",
      "object": "model",
      "tasks": [
        "generate",
        "tool_calling"
      ]
    },
    {
      "id": "gemma-4-31b",
      "object": "model",
      "tasks": [
        "generate",
        "tool_calling",
        "vision"
      ]
    },
    {
      "id": "qwen3-embedding-4b",
      "object": "model",
      "tasks": [
        "embed"
      ]
    }
  ]
}