SDKs and frameworks

OpenAI SDK

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.saygm.com/v1",
    api_key=os.environ["GM_API_KEY"],
)

response = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "Say gm."}],
)

See OpenAI compatibility for Node.js and Responses examples.

Anthropic SDK

import os
from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.saygm.com",
    api_key=os.environ["GM_API_KEY"],
)

message = client.messages.create(
    model="claude-opus-4-8",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Say gm."}],
)

See Anthropic compatibility for Node.js and discovery examples.

Google GenAI SDK

import os
from google import genai
from google.genai import types

client = genai.Client(
    api_key=os.environ["GM_API_KEY"],
    http_options=types.HttpOptions(base_url="https://api.saygm.com"),
)

response = client.models.generate_content(
    model="gemini-2.5-pro",
    contents="Say gm.",
)

Vercel AI SDK

import { createOpenAI } from "@ai-sdk/openai";
import { generateText } from "ai";

const gm = createOpenAI({
  baseURL: "https://api.saygm.com/v1",
  apiKey: process.env.GM_API_KEY,
});

const { text } = await generateText({
  model: gm("gpt-5.5"),
  prompt: "Say gm.",
});

LangChain

import os
from langchain_openai import ChatOpenAI

model = ChatOpenAI(
    base_url="https://api.saygm.com/v1",
    api_key=os.environ["GM_API_KEY"],
    model="gpt-5.5",
)

print(model.invoke("Say gm.").content)

Before copying an example, use the model catalog to confirm the model ID and compatibility shape.