AIMOWAY API Examples

OpenAI-compatible API examples for AIMOWAY LLM API access.

AIMOWAY provides affordable and reliable access to selected AI model services through a simple web platform and an OpenAI-compatible API. This repository shows how to call AIMOWAY using curl, Python, and Node.js.

Links

Resource	URL
Website	https://aimoway.com
Pricing	https://aimoway.com/pricing
Documentation	https://aimoway.com/docs
FAQ	https://aimoway.com/faq

What is included

Example	Location	Description
curl	This README	Minimal Chat Completions request
Python	examples/python/	OpenAI SDK example
Node.js	examples/node/	OpenAI SDK example

Before you start

Create an AIMOWAY account, add service credits, and create an API key.

Do not hard-code your API key in source code. Use an environment variable instead:

export AIMOWAY_API_KEY="your_aimoway_api_key_here"

The AIMOWAY OpenAI-compatible API base URL is:

https://aimoway.com/v1

Example model

The examples below use:

DeepSeek-V3.2

You can replace it with another supported model from the AIMOWAY Pricing page.

curl example

curl https://aimoway.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMOWAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "DeepSeek-V3.2",
    "messages": [
      {
        "role": "system",
        "content": "You are a concise and helpful assistant."
      },
      {
        "role": "user",
        "content": "Give me one practical idea for testing an LLM API."
      }
    ],
    "temperature": 0.2,
    "max_tokens": 128
  }'

Python example

Install dependencies:

pip install -r examples/python/requirements.txt

Run the example:

python examples/python/chat_completions.py

The Python example uses the OpenAI SDK with the AIMOWAY API base URL:

from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["AIMOWAY_API_KEY"],
    base_url="https://aimoway.com/v1",
)

response = client.chat.completions.create(
    model="DeepSeek-V3.2",
    messages=[
        {"role": "system", "content": "You are a concise and helpful assistant."},
        {"role": "user", "content": "Give me one practical idea for testing an LLM API."},
    ],
    temperature=0.2,
    max_tokens=128,
)

print(response.choices[0].message.content)

Node.js example

Install dependencies:

cd examples/node
npm install

Run the example:

npm start

The Node.js example uses the OpenAI SDK with the AIMOWAY API base URL:

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AIMOWAY_API_KEY,
  baseURL: "https://aimoway.com/v1",
});

const response = await client.chat.completions.create({
  model: "DeepSeek-V3.2",
  messages: [
    {
      role: "system",
      content: "You are a concise and helpful assistant.",
    },
    {
      role: "user",
      content: "Give me one practical idea for testing an LLM API.",
    },
  ],
  temperature: 0.2,
  max_tokens: 128,
});

console.log(response.choices[0].message.content);

Notes

AIMOWAY uses service credits.

Model usage is billed based on token consumption. Input and output token pricing may differ by model. See the Pricing page for the current supported model list and pricing.

AIMOWAY does not use customer prompts, outputs, uploaded files, API request content, or other customer work data to train AI models.

Security

Never commit API keys, tokens, .env files, logs, or request data that may contain private information.

Recommended local environment file pattern:

# .env
AIMOWAY_API_KEY="your_aimoway_api_key_here"

If you use a .env file, make sure it is ignored by Git:

.env
.env.*
!.env.example

Troubleshooting

Problem	Possible cause	Suggested check
401 Unauthorized	Missing or invalid API key	Confirm AIMOWAY_API_KEY is set correctly
404 Not Found	Wrong API base URL or endpoint	Use https://aimoway.com/v1
Model error	Unsupported or misspelled model name	Check the current model list on the Pricing page
Quota or billing error	Insufficient service credits	Check your AIMOWAY account balance

License

MIT