Connecting models,
made simple.

Choose where to start

Start with APIGO Cloud when you want to connect to hosted models right away. Follow Community open-source progress when you want to build infrastructure in your own environment. Explore the Enterprise offering when you need a dedicated environment or organization-level governance.

Use the OpenAI SDK you already know

1. Create an account and API key

   Go to APIGO Cloud ↗, sign in, and create an API key in your Workspace.

2. Choose an available model

   Use the model catalog ↗ to confirm a model ID, availability, and pricing. Account balance and model access conditions are determined by the Cloud platform.

3. Set environment variables and send a request

   Install the Python SDK with pip install openai. Set APIGO_API_KEY and APIGO_MODEL, then run the example below.

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://api.apigo.ai/v1",
    api_key=os.environ["APIGO_API_KEY"],
)

response = client.chat.completions.create(
    model=os.environ["APIGO_MODEL"],
    messages=[
        {"role": "user", "content": "Hello, APIGO"}
    ],
)
print(response.choices[0].message.content)

Keep API keys in server-side environment variables; do not embed them in public web pages. This example makes a real model request, and charges follow Cloud platform pricing.

Community release status

Community is planned to provide a unified model gateway, a foundational control plane, team workspaces, keys, quotas, and usage capabilities. The Lyra intelligence engine and commercial strategy are outside the open-source scope.

Licenses, release packages, supported protocols, and deployment requirements are determined by the files actually published in each repository. This page does not grant an open-source license for every component.

Move from integration to production

Continue with the edition boundaries, or talk with the APIGO team about private environments, identity integration, operations, and service assurance.