llm-session 0.1.3

A zero-configuration tool to automate web-based LLM interactions.

LLMSession

A zero-configuration tool to automate interactions with web-based LLM providers (currently ChatGPT). It handles authentication, session persistence, and chained prompt execution programmatically.

Features

• Zero-Config Setup: Automatically handles browser binaries via Playwright.
• Session Persistence: Reuses cookies/storage for subsequent runs (no need to login every time).
• Smart OTP Handling: Supports non-blocking callbacks for 2FA/OTP challenges.
• Resilient: Allows custom CSS selectors to adapt to UI changes without updating the library.

Prerequisites

You must set the following environment variables, or pass them directly to the constructor:

• CHATGPT_EMAIL
• CHATGPT_PASSWORD
• CHATGPT_GOOGLE_LOGIN (Optional: set to "true" if using Google Auth. Note: Google Auth is experimental and may require manual intervention.)

Disclaimer

[!WARNING] Cloudflare/Bot Detection: Automated interactions with ChatGPT are subject to high-security bot detection (Cloudflare). This library uses standard browser automation and may be blocked. For production reliability, please use the Official OpenAI API.

This tool automates a third-party web interface. It is subject to breakage if the target website changes its DOM structure. Use responsibly and in accordance with the provider's Terms of Service.

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Installation

pip install llm-session

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Quick Start

import logging
from llm_session import Automator

# 1. Configure Standard Logging
logging.basicConfig(level=logging.INFO)

# 2. Define OTP Callback (Optional, but recommended for headless envs)
def my_otp_handler():
    # In production, you might fetch this from an email API
    return input("Enter OTP Code sent to email: ")

# 3. Initialize
bot = Automator(
    provider="chatgpt",
    headless=False,  # Set to True for production (CURRENTLY ONLY WORKS WITH headless=False)
    credentials={
        "email": "[e-mail]", 
        "password": "your_password",
        "method": "email" # or "google"
    },
    on_otp_required=my_otp_handler
)

# 4. Single Prompt
print(bot.process_prompt("Hello, world!"))

# 5. Chained Prompt (Inject previous response)
chain = [
    "Write a haiku about Python.",
    "Translate this haiku to Spanish: {{previous}}"
]
responses = bot.process_chain(chain)
print(responses)

bot.close()

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Advanced Configuration

Custom Selectors

Websites change their layout often. If ChatGPT updates their CSS class names, you don't need to wait for a package update. You can inject your own selectors during initialization.

bot = Automator(
    provider="chatgpt", 
    config={
        "selectors": {
            "textarea": "#new-prompt-id",
            "send_btn": ".new-send-button-class",
            "assistant_msg": ".new-message-wrapper"
        }
    }
)

Using Environment Variables

Instead of passing credentials directly, you can use environment variables:

import os

os.environ["CHATGPT_EMAIL"] = "[e-mail]"
os.environ["CHATGPT_PASSWORD"] = "your_password"

bot = Automator(provider="chatgpt", headless=False)

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Session Management

This library stores browser cookies and local storage in your OS's standard user data directory:

• Windows: %LOCALAPPDATA%\LLMSession
• Linux: ~/.local/share/LLMSession
• macOS: ~/Library/Application Support/LLMSession

Key Features:

• Persistence: Sessions persist across reboots—no need to login every time
• Security: Sensitive data is stored locally and never transmitted
• Reusable: Once authenticated, subsequent runs will skip the login process

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API Reference

Automator

The main class for automating LLM interactions.

Constructor

Automator(
    provider: str,
    headless: bool = False,
    credentials: dict = None,
    session_path: str = None,
    config: dict = None,
    on_otp_required: callable = None
)

Parameters:

• provider (str): The LLM provider to use (currently only "chatgpt" is supported)
• headless (bool): Whether to run browser in headless mode. Default: False
• credentials (dict): Dictionary containing login credentials:
  • email (str): Login email
  • password (str): Login password
  • method (str): Authentication method - "email" or "google". Default: "email"
• session_path (str, optional): Custom path for session storage. If not provided, uses OS default
• config (dict, optional): Configuration options including custom selectors
• on_otp_required (callable, optional): Callback function to handle OTP/2FA challenges

Methods

process_prompt(prompt: str) -> str

Process a single prompt and return the response.

response = bot.process_prompt("What is Python?")
print(response)

process_chain(prompts: list) -> list

Process a chain of prompts where {{previous}} in a prompt will be replaced with the previous response.

chain = [
    "Write a poem about clouds.",
    "Translate the following to French: {{previous}}"
]
responses = bot.process_chain(chain)

close()

Close the browser and clean up resources.

bot.close()

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Examples

Example 1: Basic Usage

from llm_session import Automator

bot = Automator(
    provider="chatgpt",
    headless=False,
    credentials={
        "email": "[e-mail]",
        "password": "password123"
    }
)

response = bot.process_prompt("Explain quantum computing in simple terms.")
print(response)

bot.close()

Example 2: Chained Prompts

from llm_session import Automator

bot = Automator(provider="chatgpt", headless=False)

# Create a story step by step
chain = [
    "Write the first paragraph of a sci-fi story.",
    "Continue this story: {{previous}}",
    "Write a dramatic ending for: {{previous}}"
]

story_parts = bot.process_chain(chain)
full_story = "\n\n".join(story_parts)
print(full_story)

bot.close()

Example 3: With OTP Handler

from llm_session import Automator

def handle_otp():
    """Fetch OTP from email or user input"""
    code = input("Enter the OTP sent to your email: ")
    return code

bot = Automator(
    provider="chatgpt",
    headless=False,
    credentials={
        "email": "[e-mail]",
        "password": "password123"
    },
    on_otp_required=handle_otp
)

response = bot.process_prompt("Hello!")
print(response)

bot.close()

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Troubleshooting

Issue: Login fails with "Invalid credentials"

Solution:

• Verify your email and password are correct
• Check if you have 2FA enabled (provide on_otp_required callback)
• Try logging in manually in a browser first to ensure your account is accessible

Issue: "Cloudflare challenge detected"

Solution:

• This library uses standard browser automation which may be detected
• Try running with headless=False to solve CAPTCHA manually
• For production use, consider using the official OpenAI API instead

Issue: Selectors not working after ChatGPT update

Solution:

• Use the custom selectors feature to update CSS selectors
• Or wait for a library update with fixed selectors
• Check GitHub issues for community-reported solutions

Issue: Session not persisting

Solution:

• Ensure the session directory has write permissions
• Check if antivirus is blocking file writes
• Try specifying a custom session_path with known write access

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Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines on how to:

• Set up your development environment
• Run tests and verification scripts
• Submit pull requests
• Report issues

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions