G4F – Complete Configuration Guide

This is the all-in-one reference for configuring GPT4Free:
Authentication, API Keys, Cookies, .har files, Debug Mode, Proxy Setup, and GUI Authentication.


1. Environment Variable & API Key Configuration

Create a .env file in your cookies/config directory:

HUUGINGFACE_API_KEY=
POLLINATIONS_API_KEY=
GEMINI_API_KEY=
TOGETHER_API_KEY=
DEEPINFRA_API_KEY=
OPENAI_API_KEY=
GROQ_API_KEY=
OPENROUTER_API_KEY=

2. API Key Setup

Set your API keys as environment variables:

# macOS / Linux
export OPENAI_API_KEY="your_key"
export GEMINI_API_KEY="your_key"

# Windows CMD
set OPENAI_API_KEY=your_key

# Windows PowerShell
$env:OPENAI_API_KEY = "your_key"

Example in Python:

import os
from g4f.client import Client
from g4f.Provider import OpenaiAPI

client = Client(provider=OpenaiAPI, api_key=os.getenv("OPENAI_API_KEY"))


4. .HAR File Setup

What is a .HAR File?

A .HAR (HTTP Archive) file captures all network requests and cookies from a session.
Some providers like OpenaiChat require a .HAR file to authenticate without an API key.

Creating a .HAR File:

  1. Login to the provider (e.g., chatgpt.com).
  2. Open Developer Tools (Right-click → Inspect or F12).
  3. Go to the Network tab.
  4. Reload the page to capture activity.
  5. Perform at least one chat action/message.
  6. Right-click inside Network requests → Save all as HAR with content.
  7. Save it as provider_name.har inside ./har_and_cookies/.

🔒 Security Note: .HAR files contain sensitive cookies — never share them.

Example Auto-Loading HAR in Python:

from g4f.cookies import read_cookie_files
read_cookie_files()  # Auto-loads all .har and .json cookie files in the cookies dir

5. Debug Mode

Enable debug output:

import g4f.debug
g4f.debug.logging = True

Example debug log output:

Read .har file: ./har_and_cookies/you.com.har
Cookies added: 10 from .you.com
Read cookie file: ./har_and_cookies/google.json
Cookies added: 16 from .google.com

6. Proxy Configuration

Set a global proxy to hide/change your IP:

macOS / Linux:

export G4F_PROXY="http://host:port"

Windows CMD:

set G4F_PROXY=http://host:port

7. GUI Authentication

Set a password:

export G4F_API_KEY="mypassword"

Run the server:

python -m g4f --debug --port 8080 --g4f-api-key $G4F_API_KEY

Access web UI:

  • Go to: http://localhost:8080/chat/
  • Username: anything (e.g., admin)
  • Password: your G4F_API_KEY

8. Best Practices

  • 🔒 Never hardcode credentials — use .env or environment variables
  • 🔄 Rotate keys every 90 days
  • 🛡 Secure .har and .json cookie files
  • 📊 Use rate limiting in production

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