Complete the OpenAI to Gate.AI API migration in three steps

Gate.AI API migration lets developers send requests compatible with OpenAI through Gate.AI. With a single API configuration, you can access routing model calls. If you’re already using the OpenAI SDK or an OpenAI-style HTTP client, the migration mainly involves swapping credentials, confirming Credits, updating the Base URL, and testing a request once. This article will walk you through migrating from openai to gate.ai in three steps. This guide does not cover enterprise approval workflows, custom routing strategy design, or vendor-level benchmark testing.

Prerequisites:

• Have a Gate.AI account with access to the Console.
• Your local project or terminal environment can send OpenAI-style API requests via Python, Node.js, or curl.

Source materials: Gate.AI official documentation, Gate.AI API integration materials, Gate.AI pricing information, and the Gate.AI guide requirements uploaded in June 2026. Gate.AI product materials describe the three-step integration order as creating an API Key, topping up Credits, and replacing the Base URL and API Key.

Environment notes: The examples below are written based on the OpenAI Python SDK pattern and curl request testing. Before launch, verify the exact Console labels in the latest Console UI, since product UI labels may change as the documentation is updated.

What capabilities will you gain after completing this guide?

After finishing this guide, you can migrate from openai to gate.ai by creating a Gate.AI API Key, topping up Credits, replacing the OpenAI API configuration with Gate.AI parameters, and successfully sending a test request.

Covers: API Key creation, Credits top-up, OpenAI-compatible Base URL replacement, model: "auto", curl verification, Python SDK verification, and troubleshooting common migration errors.

Not covered: production go-live planning, enterprise security reviews, cost allocation strategies, custom model allowlists, or application-level prompt adjustments.

For a more complete developer integration workflow, refer to Gate.AI Developer API Integration Guide.

Step 1: Create API credentials

This step creates a Gate.AI API Key to replace the OpenAI API Key in your application.

Procedure:

1. Log in to your Gate.AI account.
2. Open the Console area used to manage API Keys.
3. Create a new API Key.
4. Copy the API Key immediately.
5. Store the API Key in a local environment variable, your CI secrets, or a secrets manager.

In the Gate.AI official integration guide, the API Key flow is Console → Settings → API keys → Create keys (as of June 2026). Please verify the actual Console path before publishing or taking screenshots.

To test in your local terminal, save the key as an environment variable:

export GATEAI_API_KEY="YOUR_API_KEY"

Replace YOUR_API_KEY with the Gate.AI API Key you copied from the Console. Do not commit your API Key to a code repository.

Step 2: Top up Credits

This step confirms that your Gate.AI account has the Credits required for model calls before you change your application code.

Procedure:

1. Open Gate.AI’s Credits or billing management page.
2. Top up Credits using an available payment method.
3. Confirm your account balance can cover at least one test request.

According to Gate.AI product materials from June 2026, connecting to Gate.AI requires creating an API Key, topping up Credits, and replacing the Base URL and API Key. Gate.AI pricing information shows that it uses pay-as-you-go billing with prepaid Credits.

If your enterprise needs to complete supplier, finance, or security approvals before routing production traffic to a new API gateway, handle it according to your internal process first. This guide covers only the technical migration flow.

Step 3: Replace the OpenAI configuration

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

Procedure:

Replace the OpenAI API Key with the Gate.AI API Key, and set the Base URL to:

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

For direct HTTP requests, the authentication format is:

Authorization: Bearer YOUR_API_KEY

According to Gate.AI documentation from June 2026, Gate.AI supports OpenAI-compatible API calls via https://api.gate.ai/openai/v1. The integration guide specifically reminds you that the API path is /openai/v1, and you cannot use only /v1.

Use the following Python example to test the migration using the OpenAI SDK pattern:

from openai import OpenAI
import os
client = OpenAI(
    api_key=os.environ["GATEAI_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)

If you want to verify the Base URL, API Key, and request body without changing your application code, you can use the following curl command:

curl https://api.gate.ai/openai/v1/chat/completions \
  -H "Authorization: Bearer $GATEAI_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 get an authentication error, first check your API Key and the Authorization: Bearer header, then consider changing the model parameter.

Which parameters need to be replaced during migration?

When migrating from openai to gate.ai in an existing codebase, you can refer to the table below:

For your first use, we recommend model: "auto". Gate.AI will route automatically. If you need the application to follow a fixed model behavior afterward, specify a specific model ID.

Common reasons for Gate.AI migration failure and a troubleshooting checklist

• Symptom: The request returns 401 or says the API Key is invalid.
  Cause: API Key is missing, expired, copied incorrectly, or not sent in Bearer format.
  Fix: Copy the Gate.AI API Key again, export it as GATEAI_API_KEY, and confirm the request header is Authorization: Bearer $GATEAI_API_KEY.

• Symptom: After changing the Base URL, the request returns 404.
  Cause: The Base URL was simplified to https://api.gate.ai/v1, or your SDK Base URL includes the full endpoint path.
  Fix: The Base URL should be https://api.gate.ai/openai/v1—do not use https://api.gate.ai/v1.

• Symptom: auto works, but switching to a specific model fails.
  Cause: The model ID is misspelled, unavailable, or the current account doesn’t support it.
  Fix: Check the Gate.AI model documentation for the correct model ID, or fall back to model: "auto" for routing tests.

• Symptom: Automatic routing behaves abnormally.
  Cause: Auto routing is disabled, or your Console routing settings don’t match what you expected.
  Fix: Enable the routing settings in the Console, check that the auto routing switch is on, then adjust your application code.

• Symptom: The response is empty, malformed, or different from what your application expects.
  Cause: The request body includes extra parameters, the messages array format is wrong, or there are differences in model behavior.
  Fix: First run the simplest curl request from Step 3 to confirm you get a normal response, then add application parameters step by step.

For troubleshooting Gate.AI API integrations, we recommend prioritizing checks for authentication, Base URL, and model ID to avoid blindly rewriting integration logic.

What else can you further configure or integrate?

If you want to connect an AI coding editor to the same OpenAI-compatible endpoint, refer to Gate.AI Cursor Integration Guide.

If you want to support an Anthropic-compatible CLI configuration, refer to Gate.AI Claude Code Integration Guide.

If you want to integrate framework-based applications, after direct API requests succeed, refer to Gate.AI LangChain and LangGraph Integration or Gate.AI LlamaIndex Integration.

To review details on API authentication and endpoint parameters, visit Gate.AI Developer Documentation.

Frequently Asked Questions

After migration, can I still use the OpenAI SDK?
Yes. Gate.AI supports OpenAI-compatible API calls. Just set your Gate.AI API Key and replace the Base URL with openai/v1.

Should the first migration request use auto or a specific model ID?
We recommend using model: "auto" for the first time. This can test your API Key authentication, Base URL configuration, request format, and Gate.AI routing in one go.

Why does the request fail after switching to a specific model?
It could be due to a misspelled model ID, an unavailable model, or that your current account doesn’t support it. Please confirm the correct model ID in Gate.AI model documentation and try again.

Do I need to rewrite my existing OpenAI integration?
In most cases, you don’t need to rewrite a standard OpenAI-compatible chat completion flow. Replace the API Key, Base URL, and model parameters first, then test any custom parameters separately.