FriendliAI Docs

With FriendliAI, your team gets fast, affordable, and reliable AI inference at scale.Start with Friendli Model APIs, a curated set of popular, open-weight models that are ready for you today.If you want to run any model—including your own—on dedicated GPUs, try Friendli Dedicated Endpoints.

Get Started

import os
from openai import OpenAI

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

completion = client.chat.completions.create(
  model="zai-org/GLM-5.3",
  messages=[
    {"role": "system", "content": "You are a friendly assistant."},
    {"role": "user", "content": "Describe FriendliAI in one sentence."},
  ],
)

print(completion.choices[0].message)

import OpenAI from "openai"

const client = new OpenAI({
  baseURL: "https://api.friendli.ai/serverless/v1",
  apiKey: process.env.FRIENDLIAI_API_KEY,
})

const completion = await client.chat.completions.create({
  model: "zai-org/GLM-5.3",
  messages: [
    { role: "system", content: "You are a friendly assistant." },
    { role: "user", content: "Describe FriendliAI in one sentence." },
  ],
})

console.log(completion.choices[0].message)

curl -X POST https://api.friendli.ai/serverless/v1/chat/completions \
  -H 'Content-Type: application/json' \
  -H "Authorization: Bearer $FRIENDLIAI_API_KEY" \
  -d '{
    "model": "zai-org/GLM-5.3",
    "messages": [
      {"role": "system", "content": "You are a friendly assistant."},
      {"role": "user", "content": "Describe FriendliAI in one sentence."}
    ]
}'

Explore the Docs

Guides

Learn about AI inference by reading how-tos and best-practice articles. For example, learn how to control reasoning.

Examples

See real-world use cases for popular AI models, coding agents, and SDKs. Start building your next AI project today.

Reference

Look up the operations and parameters you need to send your next request. For example, look up the Chat Completions API.

Tool Calling

Use OpenAI-compatible tool calling with broad model support, strict schema enforcement, and parallel tool calls.

Reasoning

Control how a model reasons. Compare controllable and always-on reasoning models. Then, set the reasoning effort and budget.

Models and Pricing

View pricing per model. Compare token-based and audio-based rates across text and audio models.

Featured Examples

Set Up Agents Automatically

Use the FriendliLink CLI to connect your agent to FriendliAI with one command. Once you’re done, your agent will send requests to FriendliAI.

Use GLM-5.3

Use Z.ai’s flagship open-weight model with FriendliAI. Review the model’s properties and pricing, then choose a feature to start building.

Use Hermes Agent

Set up Hermes Agent to connect to FriendliAI. Once you complete these steps, your agent will send requests to FriendliAI.

Last modified on October 26, 2026