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Get started with Friendli Model APIs in two ways: interact with models in the playground, or call the API directly from your application. This quickstart walks you through both.

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Explore Models in the Playground

Try models directly in Friendli Suite. The playground provides an interactive experience where you can test prompts, inspect responses, and fine-tune inference settings.

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1. Sign Up or Log In

Create an account or log in at Friendli Suite.

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2. Navigate to the Model APIs Page

Go to the Model APIs page to see all available models.

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3. Choose a Model

Select a model from the list. Each model page includes a brief overview and usage details.

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4. Send a Prompt

The playground offers a chat-style interface with built-in tools such as a calculator and Linkup web search. You can also adjust inference parameters like temperature and top-p to fine-tune the model’s behavior.

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Use the API in Your Application

To use a model in your application, call it directly through the API. Each model page includes ready-to-use example code you can paste into your application.

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1. Sign Up or Log In

Create an account or log in at Friendli Suite.

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2. Create a Personal API Key

You can create and manage API Keys in: Personal Settings > API Keys. Set your key as an environment variable: 
export API_KEY="YOUR API KEY HERE"

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3. Install an SDK

Use the Friendli Python SDK or any OpenAI-compatible SDK. 
# uv
uv add friendli

# pip
pip install friendli

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4. Send an API Request

You can now start sending API requests right away. 
import os

from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("API_KEY"),
    base_url="https://api.friendli.ai/serverless/v1",
)

completion = client.chat.completions.create(
    model="zai-org/GLM-5.2",
    extra_body={
        "parse_reasoning": True,
        "chat_template_kwargs": {"enable_thinking": True},
    },
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"},
    ],
)

print("Reasoning: ", completion.choices[0].message.reasoning_content)
print(completion.choices[0].message.content)
Last modified on June 22, 2026