How to Integrate Gate.AI: A Quick Developer Onboarding Guide

Gate.AI API integration lets developers access a wide range of AI models through an OpenAI-compatible API. It provides unified model access, routing, and testing, without maintaining separate SDK configurations for each model provider. Whether you’re building a chatbot, internal tools, intelligent agents, workflow automation, or model evaluation scripts, the integration process is significantly simpler. This guide covers creating an API key, automatic routing, manual model selection, the OpenAI-compatible base URL, first-request testing, and troubleshooting common configuration mistakes. It does not cover advanced topics like enterprise-grade governance, billing strategy design, or custom security architectures.

Prerequisites:

• You have a Gate.AI account and access to Console settings.
• Your local environment has Python, Node.js, or curl configured.

What capabilities will you have after completing this guide?

After completing this guide, you will be able to create a Gate.AI API key, configure the OpenAI-compatible base URL, send your first API request using model: "auto", and test a specified model ID.

What applications can you build with Gate.AI API integration?

Developers can use Gate.AI API integration to access a multi-model ecosystem using a unified OpenAI-compatible request format. Typical use cases include:

When you want Gate.AI to automatically choose a model, use model: "auto". If you need reproducible behavior for a specific model, provide the exact model ID.

What do you need to prepare before you start?

Before you begin, you only need to meet two key conditions:

You do not need to choose all models at the start. First confirm that your API key and base URL work, then test manual model selection.

Step 1: Create a Gate.AI API key

In this step, you’ll create credentials for API authentication for your application.

How to do it:

1. Visit gate.ai.
2. Choose a login method and complete authorization.
3. Open Console → Settings → API keys.
4. Click Create key.
5. Copy the API key immediately and store it securely.

You will see the new key in the API keys area. If the secret is shown only once, make sure you copy the key before you close the creation window.

Step 2: Choose automatic routing or manual model selection

This step determines whether Gate.AI assigns a model automatically, or whether you specify the model in the request.

How to do it:

1. Open Console → Settings → Routing.
2. Check the Automatic routing toggle.
3. If you want Gate.AI to automatically select a model for every request, keep automatic routing enabled.
4. If you want to manually specify a model ID, turn off automatic routing and enter the model ID in the request body.

Automatic routing is ideal for quick onboarding and general routing tests. Manual selection is for scenarios where you need reproducible evaluation on a single model.

Step 3: Configure the OpenAI-compatible base URL

This step points your existing OpenAI-style client to Gate.AI instead of the default OpenAI endpoint.

Use the following base URL:

https://api.gate.ai/openai/v1

The authentication format is as follows:

Authorization: Bearer YOUR_API_KEY

Gate.AI documentation states that the API path is /openai/v1, not just /v1 (as of June 2026). Be sure to follow the example and enter the full base URL.

Most integration errors come from base URL abbreviations or copying the API key incorrectly. Confirm these two items first, then adjust your model configuration.

Step 4: Send your first API request

This step tests whether your API key, base URL, and OpenAI-compatible chat format work together.

Python example:

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.gate.ai/openai/v1",
)
completion = client.chat.completions.create(
    model="auto",
    messages=[
        {"role": "system", "content": "You are a concise assistant."},
        {"role": "user", "content": "Say hello from Gate.AI."}
    ],
)
print(completion.choices[0].message.content)

Node.js example:

import OpenAI from "openai";
const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://api.gate.ai/openai/v1",
});
const completion = await client.chat.completions.create({
  model: "auto",
  messages: [
    { role: "system", content: "You are a concise assistant." },
    { role: "user", content: "Say hello from Gate.AI." }
  ],
});
console.log(completion.choices[0].message.content);

curl example:

curl https://api.gate.ai/openai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "auto",
    "messages": [
      {"role": "system", "content": "You are a concise assistant."},
      {"role": "user", "content": "Say hello from Gate.AI."}
    ]
  }'

You should receive a normal assistant response. If you hit an authentication error, check the API key first. You don’t need to change your code right away.

Step 5: Test a specified model ID

This step verifies whether manual model selection takes effect when your application needs to specify a model.

Change the model parameter from auto to a specific supported model ID:

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.gate.ai/openai/v1",
)
completion = client.chat.completions.create(
    model="anthropic/claude-sonnet-4.6",
    messages=[
        {"role": "user", "content": "Explain model routing in one paragraph."}
    ],
)
print(completion.choices[0].message.content)

Enter the model ID exactly as shown in the Gate.AI model documentation or in the model list. If you mistype it, the request will fail even if your API key and base URL are correct.

How does Gate.AI’s automatic routing mechanism work in API requests?

Gate.AI automatic routing works by setting model: "auto" in the request body and using the routing configuration in the Gate.AI console to choose a model automatically. As of June 2026, the relevant routing controls are managed in Console → Settings → Routing.

Automatic routing is not the same as omitting the model field. You must include the model field in your request and set it to auto. Only then will Gate.AI route automatically.

Which integration approach should you choose?

Choose an integration method based on your runtime environment:

Most developers recommend using curl to validate first, then integrating with Python or Node.js into your real application.

What are common reasons Gate.AI API requests fail?

If you get blocked during integration, troubleshoot step by step using the table below:

Start troubleshooting in this order: authentication, base URL, then model ID. Most quick onboarding issues can be solved with these three steps.

What else can you configure next?

Once your first request succeeds, you can expand integration in three directions:

• Configure model routing behavior in the Gate.AI console: https://gate.ai/docs
• Check model availability and select fixed model IDs for production testing: https://gate.ai/models
• Compare prices and choose models for high-concurrency scenarios: https://gate.ai/pricing

FAQ

Why do you recommend using model: "auto" first?

Using model: "auto" lets you validate the API key, base URL, request format, and routing configuration in one go. After confirming everything is correct, then test a specified model ID.

Can I call Gate.AI using an existing OpenAI SDK?

Yes. Gate.AI supports OpenAI-compatible API formats. All you need to do is set your Gate.AI API key and replace the base URL with https://api.gate.ai/openai/v1.

Why does the request fail after switching to a specified model?

The model ID may not exist, may be misspelled, or may not be supported by your current account. Confirm the model ID in the Gate.AI model documentation, then try again.

Do I need to disable automatic routing when using a specified model?

Not necessarily. When you need to manually select a model, you can pass the model ID directly in the request body. If the behavior doesn’t match your expectations, check the console routing settings.