List Models

Endpoint

GET https://api.pipellm.ai/v1/models

Authentication

Use any supported authentication header:

Header	Example
`Authorization`	`Bearer $PIPELLM_API_KEY`
`x-api-key`	`$PIPELLM_API_KEY`

Code Examples

cURL
Python
Node.js

curl https://api.pipellm.ai/v1/models \
  -H "Authorization: Bearer $PIPELLM_API_KEY"

import os
from openai import OpenAI

client = OpenAI(
api_key=os.getenv('PIPELLM_API_KEY'),
base_url='https://api.pipellm.ai/v1'
)

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

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.PIPELLM_API_KEY,
  baseURL: 'https://api.pipellm.ai/v1'
});

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

Response

{
  "object": "list",
  "data": [
    {
      "id": "claude-sonnet-4-20250514",
      "display_name": "Claude Sonnet 4",
      "type_target": "anthropic",
      "created_at": "2025-05-14T00:00:00Z"
    },
    {
      "id": "gpt-4o",
      "display_name": "Gpt 4o",
      "type_target": "openai",
      "created_at": "2024-05-01T00:00:00Z"
    },
    {
      "id": "gemini-2.5-pro",
      "display_name": "Gemini 2.5 Pro",
      "type_target": "openai",
      "created_at": "2025-03-01T00:00:00Z"
    }
  ],
  "total": 3
}

Response Fields

Field	Type	Description
`object`	string	Always `"list"`
`data`	array	Array of model objects
`data[].id`	string	Model ID, used in API requests
`data[].display_name`	string	Human-readable model name
`data[].type_target`	string	API format: `openai` or `anthropic`
`data[].created_at`	string	Model creation timestamp (RFC3339)
`total`	integer	Total number of available models

Getting Started

OpenAI Compatible

Anthropic

Gemini

Endpoint

Authentication

Code Examples

Response

Response Fields

Getting Started

OpenAI Compatible

Anthropic

Gemini

​Endpoint

​Authentication

​Code Examples

​Response

​Response Fields

Endpoint

Authentication

Code Examples

Response

Response Fields