sydney-py 0.15.2

Python Client for Bing Chat, also known as Sydney.

Sydney.py

Python Client for Bing Chat, also known as Sydney.

Note This is an unofficial client.

Features

• Connect to Bing Chat, Microsoft's AI-powered personal assistant.
• Ask questions and have a conversation in various conversation styles.
• Compose content in various formats and tones.
• Stream response tokens for real-time communication.
• Retrieve citations and suggested user responses.
• Use asyncio for efficient and non-blocking I/O operations.

Requirements

• Python 3.9 or newer
• Microsoft account with access to Bing Chat

Installation

To install Sydney.py, run the following command:

pip install sydney-py

or, if you use poetry:

poetry add sydney-py

Note Make sure you're using the latest version of Sydney.py to ensure best compatibility with Bing Chat.

Usage

Prerequisites

To use Sydney.py you first need to extract the _U cookie from Bing. The _U cookie is used to authenticate your requests to the Bing Chat API.

To get the _U cookie, follow these steps:

• Log in to Bing using your Microsoft account.
• Open the developer tools in your browser (usually by pressing F12 or right-clicking and selecting Inspect element).
• Select the Storage tab and click on the Cookies option to view all cookies associated with the website.
• Look for the _U cookie and click on it to expand its details.
• Copy the value of the _U cookie (it should look like a long string of letters and numbers).

Then, set it as an environment variable in your shell:

export BING_U_COOKIE=<your-cookie>

or, in your Python code:

os.environ["BING_U_COOKIE"] = "<your-cookie>"

It is also recommended to manually write a message to Bing Chat on the Bing page. This will result in a message box containing a Verifying message, which will then switch to Success! Without this step, it is possible that Sydney.py will fail with a CaptchaChallenge error.

Example

You can use Sydney.py to easily create a CLI client for Bing Chat:

import asyncio

from sydney import SydneyClient


async def main() -> None:
    async with SydneyClient() as sydney:
        while True:
            prompt = input("You: ")

            if prompt == "!reset":
                await sydney.reset_conversation()
                continue
            elif prompt == "!exit":
                break

            print("Sydney: ", end="", flush=True)
            async for response in sydney.ask_stream(prompt):
                print(response, end="", flush=True)
            print("\n")


if __name__ == "__main__":
    asyncio.run(main())

Sydney Client

You can create a Sydney Client and initialize a connection with Bing Chat which starts a conversation:

sydney = SydneyClient()

await sydney.start_conversation()

# Conversation

await sydney.end_conversation()

Alternatively, you can use the async with statement to keep the code compact:

async with SydneyClient() as sydney:
    # Conversation

Conversation Style

You can set the conversation style when creating a Sydney Client:

sydney = SydneyClient(style="creative")

The available options are creative, balanced and precise.

Reset Conversation

You can reset the conversation in order to make the client forget the previous conversation. You can also change the conversation style without creating a new client:

async withSydneyClient() as sydney:
    # Conversation
    await sydney.reset_conversation(style="creative")

Ask

You can ask Bing Chat questions and (optionally) include citations in the results:

async with SydneyClient() as sydney:
    response = await sydney.ask("When was Bing Chat released?", citations=True)
    print(response)

You can also stream the response tokens:

async with SydneyClient() as sydney:
    async for response in sydney.ask_stream("When was Bing Chat released?", citations=True):
        print(response, end="", flush=True)

Both versions of the ask method support the same parameters.

Compose

You can ask Bing Chat to compose different types of content, such emails, articles, ideas and more:

async with SydneyClient() as sydney:
    response = sydney.compose("Why Python is a great language", format="ideas")
    print(response)

You can also stream the response tokens:

async with SydneyClient() as sydney:
   async for response in sydney.compose_stream("Why Python is a great language", format="ideas"):
        print(response, end="", flush=True)

The available options for the tone parameter are:

• professional
• casual
• enthusiastic
• informational
• funny

The available options for the format parameter are:

• paragraph
• email
• blogpost
• ideas

The available options for the length parameter are:

• short
• medium
• long

Both versions of the compose method support the same parameters.

Suggested Responses

You can also receive the suggested user responses as generated by Bing Chat along with the text answer. Both ask and ask_stream support this feature:

async with SydneyClient() as sydney:
    response, suggested_responses = await sydney.ask(prompt, suggestions=True)
    if suggested_responses:
        print("Suggestions:")
        for suggestion in suggested_responses:
            print(suggestion)

Note The suggested user responses are returned only if the suggestions parameter is true. Otherwise, the ask and ask_stream methods return only the response.

Note When using the ask_stream method with the suggestions parameter, only the suggested user responses returned lastly may contain a value. For all previous iterations, the suggested user responses will be None.

Raw Response

You can also receive the raw JSON response that comes from Bing Chat instead of a text answer. Both ask and compose support this feature:

async with SydneyClient() as sydney:
    response = await sydney.ask("When was Bing Chat released?", raw=True)
    print(response)

Conversations

You can also receive all existing conversations that were made with the current client:

async with SydneyClient() as sydney:
    response = await sydney.get_conversations()
    print(response)

For more detailed documentation and options, please refer to the code docstrings.

License

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