acheong08 / EdgeGPT

Reverse engineered API of Microsoft's Bing Chat AI
The Unlicense
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bing-ai binggpt chatgpt edge edgegpt gpt reverse-engineering

This project has been archived. Due to personal circumstances, I lack the time to maintain this repository.

EdgeGPT # Edge GPT _The reverse engineering the chat feature of the new version of Bing_ English - 简体中文 - 繁體中文 - Español - 日本語

PyPI version Python version Total downloads

# Setup ## Install package ```bash python3 -m pip install EdgeGPT --upgrade ``` ## Requirements - python 3.8+ - A Microsoft Account with access to (Optional, depending on your region) - Required in a supported country or region with New Bing (Chinese mainland VPN required) - [Selenium](https://pypi.org/project/selenium/) (for automatic cookie setup) ## Authentication !!! POSSIBLY NOT REQUIRED ANYMORE !!! **In some regions**, Microsoft has made the chat feature **available** to everyone, so you might be able to **skip this step**. You can check this with a browser (with user-agent set to reflect Edge), by **trying to start a chat without logging in**. It was also found that it might **depend on your IP address**. For example, if you try to access the chat features from an IP that is known to **belong to a datacenter range** (vServers, root servers, VPN, common proxies, ...), **you might be required to log in** while being able to access the features just fine from your home IP address. If you receive the following error, you can try **providing a cookie** and see if it works then: `Exception: Authentication failed. You have not been accepted into the beta.` ### Collect cookies 1. Get a browser that looks like Microsoft Edge. - a) (Easy) Install the latest version of Microsoft Edge - b) (Advanced) Alternatively, you can use any browser and set the user-agent to look like you're using Edge (e.g., `Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36 Edg/111.0.1661.51`). You can do this easily with an extension like "User-Agent Switcher and Manager" for [Chrome](https://chrome.google.com/webstore/detail/user-agent-switcher-and-m/bhchdcejhohfmigjafbampogmaanbfkg) and [Firefox](https://addons.mozilla.org/en-US/firefox/addon/user-agent-string-switcher/). 2. Open [bing.com/chat](https://bing.com/chat) 3. If you see a chat feature, you are good to continue... 4. Install the cookie editor extension for [Chrome](https://chrome.google.com/webstore/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) or [Firefox](https://addons.mozilla.org/en-US/firefox/addon/cookie-editor/) 5. Go to [bing.com](https://bing.com) 6. Open the extension 7. Click "Export" on the bottom right, then "Export as JSON" (This saves your cookies to clipboard) 8. Paste your cookies into a file `bing_cookies_*.json`. - NOTE: The **cookies file name MUST follow the regex pattern `bing_cookies_*.json`**, so that they could be recognized by internal cookie processing mechanisms ### Use cookies in code: ```python cookies = json.loads(open("./path/to/cookies.json", encoding="utf-8").read()) # might omit cookies option bot = await Chatbot.create(cookies=cookies) ```
# How to use Chatbot ## Run from Command Line ``` $ python3 -m EdgeGPT.EdgeGPT -h EdgeGPT - A demo of reverse engineering the Bing GPT chatbot Repo: github.com/acheong08/EdgeGPT By: Antonio Cheong !help for help Type !exit to exit usage: EdgeGPT.py [-h] [--enter-once] [--search-result] [--no-stream] [--rich] [--proxy PROXY] [--wss-link WSS_LINK] [--style {creative,balanced,precise}] [--prompt PROMPT] [--cookie-file COOKIE_FILE] [--history-file HISTORY_FILE] [--locale LOCALE] options: -h, --help show this help message and exit --enter-once --search-result --no-stream --rich --proxy PROXY Proxy URL (e.g. socks5://127.0.0.1:1080) --wss-link WSS_LINK WSS URL(e.g. wss://sydney.bing.com/sydney/ChatHub) --style {creative,balanced,precise} --prompt PROMPT prompt to start with --cookie-file COOKIE_FILE path to cookie file --history-file HISTORY_FILE path to history file --locale LOCALE your locale (e.g. en-US, zh-CN, en-IE, en-GB) ``` (China/US/UK/Norway has enhanced support for locale) ## Run in Python ### 1. The `Chatbot` class and `asyncio` for more granular control Use Async for the best experience, for example: ```python import asyncio, json from EdgeGPT.EdgeGPT import Chatbot, ConversationStyle async def main(): bot = await Chatbot.create() # Passing cookies is "optional", as explained above response = await bot.ask(prompt="Hello world", conversation_style=ConversationStyle.creative, simplify_response=True) print(json.dumps(response, indent=2)) # Returns """ { "text": str, "author": str, "sources": list[dict], "sources_text": str, "suggestions": list[str], "messages_left": int } """ await bot.close() if __name__ == "__main__": asyncio.run(main()) ``` ### 2) The `Query` and `Cookie` helper classes Create a simple Bing Chat AI query (using the 'precise' conversation style by default) and see just the main text output rather than the whole API response: Remeber to store your cookies in a specific format: `bing_cookies_*.json`. ```python from EdgeGPT.EdgeUtils import Query, Cookie q = Query("What are you? Give your answer as Python code") print(q) ``` The default directory for storing Cookie files is `HOME/bing_cookies` but you can change it with: ```python Cookie.dir_path = Path(r"...") ``` Or change the conversation style or cookie file to be used: ```python q = Query( "What are you? Give your answer as Python code", style="creative", # or: 'balanced', 'precise' cookie_file="./bing_cookies_alternative.json" ) # Use `help(Query)` to see other supported parameters. ``` Quickly extract the text output, code snippets, list of sources/references, or suggested follow-on questions from a response using the following attributes: ```python q.output # Also: print(q) q.sources q.sources_dict q.suggestions q.code q.code_blocks q.code_block_formatsgiven) ``` Get the orginal prompt and the conversation style you specified: ```python q.prompt q.ignore_cookies q.style q.simplify_response q.locale repr(q) ``` Access previous Queries made since importing `Query`: ```python Query.index # A list of Query objects; updated dynamically Query.image_dir_path ``` And finally, the `Cookie` class supports multiple cookie files, so if you create additional cookie files with the naming convention `bing_cookies_*.json`, your queries will automatically try using the next file (alphabetically) if you've exceeded your daily quota of requests (currently set at 200). Here are the main attributes which you can access: ```python Cookie.current_file_index Cookie.current_file_path Cookie.current_data Cookie.dir_path Cookie.search_pattern Cookie.files Cookie.image_token Cookie.import_next Cookie.rotate_cookies Cookie.ignore_files Cookie.supplied_files Cookie.request_count ``` --- ## Run with Docker This assumes you have a file cookies.json in your current working directory ```bash docker run --rm -it -v $(pwd)/cookies.json:/cookies.json:ro -e COOKIE_FILE='/cookies.json' ghcr.io/acheong08/edgegpt ``` You can add any extra flags as following ```bash docker run --rm -it -v $(pwd)/cookies.json:/cookies.json:ro -e COOKIE_FILE='/cookies.json' ghcr.io/acheong08/edgegpt --rich --style creative ```

# How to use Image generator ## Run from Command Line ```bash $ python3 -m ImageGen.ImageGen -h usage: ImageGen.py [-h] [-U U] [--cookie-file COOKIE_FILE] --prompt PROMPT [--output-dir OUTPUT_DIR] [--quiet] [--asyncio] optional arguments: -h, --help show this help message and exit -U U Auth cookie from browser --cookie-file COOKIE_FILE File containing auth cookie --prompt PROMPT Prompt to generate images for --output-dir OUTPUT_DIR Output directory --quiet Disable pipeline messages --asyncio Run ImageGen using asyncio ``` ## Run in Python ### 1) The `ImageQuery` helper class Generate images based on a simple prompt and download to the current working directory: ```python from EdgeGPT.EdgeUtils import ImageQuery q=ImageQuery("Meerkats at a garden party in Devon") ``` Change the download directory for all future images in this session: ``` Query.image_dirpath = Path("./to_another_folder") ``` ### 2) The `ImageGen` class and `asyncio` for more granular control ```python from EdgeGPT.ImageGen import ImageGen import argparse import json async def async_image_gen(args) -> None: async with ImageGenAsync(args.U, args.quiet) as image_generator: images = await image_generator.get_images(args.prompt) await image_generator.save_images(images, output_dir=args.output_dir) if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("-U", help="Auth cookie from browser", type=str) parser.add_argument("--cookie-file", help="File containing auth cookie", type=str) parser.add_argument( "--prompt", help="Prompt to generate images for", type=str, required=True, ) parser.add_argument( "--output-dir", help="Output directory", type=str, default="./output", ) parser.add_argument( "--quiet", help="Disable pipeline messages", action="store_true" ) parser.add_argument( "--asyncio", help="Run ImageGen using asyncio", action="store_true" ) args = parser.parse_args() # Load auth cookie with open(args.cookie_file, encoding="utf-8") as file: cookie_json = json.load(file) for cookie in cookie_json: if cookie.get("name") == "_U": args.U = cookie.get("value") break if args.U is None: raise Exception("Could not find auth cookie") if not args.asyncio: # Create image generator image_generator = ImageGen(args.U, args.quiet) image_generator.save_images( image_generator.get_images(args.prompt), output_dir=args.output_dir, ) else: asyncio.run(async_image_gen(args)) ```
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# Contributors This project exists thanks to all the people who contribute.