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Quick Start

Get started with Featherless AI in under 2 minutes: 
from portkey_ai import Portkey

# 1. Install: pip install portkey-ai
# 2. Add @featherless-ai provider in model catalog
# 3. Use it:

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.chat.completions.create(
    model="@featherless-ai/google/gemma-3-4b-it",
    messages=[{"role": "user", "content": "Hello!"}]
)

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

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Add Provider in Model Catalog

Before making requests, add Featherless AI to your Model Catalog:
  1. Go to Model Catalog → Add Provider
  2. Select Featherless AI
  3. Enter your Featherless AI API key
  4. Name your provider (e.g., featherless-ai)

Complete Setup Guide

See all setup options and detailed configuration instructions

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Supported Models

Featherless AI provides access to 11,900+ open-source models with unlimited tokens: Check Featherless AI’s documentation for the complete model catalog.

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Next Steps

Gateway Configs

Add fallbacks, load balancing, and more

Observability

Monitor and trace your Featherless requests

Prompt Library

Manage and version your prompts

Metadata

Add custom metadata to requests
For complete SDK documentation:

SDK Reference

Complete Portkey SDK documentation
Last modified on February 9, 2026