GreenNode MaaS API

GreenNode MaaS API

GreenNode MaaS provides an OpenAI-compatible API for seamless model inference. You can integrate it easily using Python, JavaScript SDK, or directly via the terminal with cURL.

Use GreenNode MaaS API with OpenAI client libraries

Install the library

Run the command below to install OpenAI client
  1. pip install openai
Switching to GreenNode MaaS with OpenAI-compatible libraries is simple. You only need to configure two settings:
  1. base_url: Set this to http://maas.greennode.ai/v1
  2. api_key: Use your GreenNode API key (store it securely)
Don't have a GreenNode API Key? Get yours from the GreenNode AI Platform Portal
To get started, create a client instance in a new file:
  1. import os
  2. from openai import OpenAI
  3. client = OpenAI(base_url="http://maas.greennode.ai/v1", api_key=os.environ.get("GREENNODE_API_KEY"))
  4. response = client.chat.completions.create(
  5.                                 model="GreenNode/GreenMind-Medium-14B-R1",
  6.                                 messages=[
  7.                                                     {"role": "user",
  8.                                                      "content": "Hello, who are you?"}]
  9.                              )
  10. print(response.to_json())

Use GreenNode MaaS API with GreenNode client libraries

Install the library

Run the command below to install OpenAI client
  1. pip install greennode
For full documentation, installation instructions, and usage examples, visit: https://github.com/greennode-ai/greennode-python/tree/main 
To get started, create a client instance in a new file:
  1. import os
  2. from greennode import GreenNode
  3. client = GreenNode(api_key=os.environ.get("GREENNODE_API_KEY"))
  4. response = client.chat.completions.create(
  5.                                 model="GreenNode/GreenMind-Medium-14B-R1", 
  6.                                 messages=[
  7.                                                     {"role": "user",
  8.                                                      "content": "Hello, who are you?"}]
  9.                              )
  10. print(response.choices[0].message.content)

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