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Get started with Friendli Dedicated Endpoints. This quickstart walks you through launching your first endpoint and sending your first request.

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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 Dedicated Endpoints Page

Go to Dedicated Endpoints to see your endpoint list.

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3. Prepare Your Model

Select a model to serve from Hugging Face, or upload your own. Hugging Face

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4. Deploy Your Endpoint

Deploy the model from step 3 with your selected GPU. You can also configure replicas and optimization options.

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5. Generate Responses

Generate responses in two ways: the playground or the endpoint URL. Use the playground tab to test your model in a chat-style interface. For programmatic use, send requests to your endpoint address—shown on the endpoint information tab—through our API. See this guide for how to create a Personal API key. 
import os
from openai import OpenAI

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

chat_completion = client.chat.completions.create(
    model="YOUR_ENDPOINT_ID",
    messages=[
        {
            "role": "user",
            "content": "Tell me how to make a delicious pancake"
        }
    ]
)
print(chat_completion.choices[0].message.content)

import os
from friendli import SyncFriendli

client = SyncFriendli(
    token=os.getenv("API_KEY"),
)

chat_completion = client.dedicated.chat.complete(
    model="YOUR_ENDPOINT_ID",
    messages=[
        {
            "role": "user",
            "content": "Tell me how to make a delicious pancake"
        }
    ]
)

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

curl -X POST https://api.friendli.ai/dedicated/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-Friendli-Team: $TEAM_ID" \
  -H "Authorization: Bearer $API_KEY" \
  -d '{
    "model": "YOUR_ENDPOINT_ID",
    "messages": [
      {
        "role": "user",
        "content": "Python is a popular"
      }
    ]
  }'
For a more detailed tutorial, refer to our guide for using Hugging Face models.
Last modified on July 9, 2026