Skip to main content

Python Client for Bing Chat, also known as Sydney.

Project description

Sydney.py

Latest Release Python MIT License

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.
  • Enhance your prompts with images for an enriched experience.
  • Use asyncio for efficient and non-blocking I/O operations.

Requirements

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

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 the Bing Chat sidebar. The _U cookie is used to authenticate your requests to the Bing Chat API.

To get the _U cookie, follow these steps on Microsoft Edge:

  • Open the Bing Chat side bar by clicking the top right Bing button.
  • Write a message on the chat dialog that appears.
  • Open the developer tools in your browser (usually by pressing F12 or right-clicking on the chat dialog and selecting Inspect).
  • Select the Application tab and click on the Cookies option to view all cookies associated with https://edgeservices.bing.com.
  • 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>"

Note In some regions, using the _U cookie is not required, in which case the above instructions can be skipped.

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 with SydneyClient() 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.

Attachment

It is also possible to provide a URL to an image as an attachment, which will be used as input together with the prompt:

async with SydneyClient() as sydney:
    response = await sydney.ask("What does this picture show?", attachment="<image-url>")
    print(response)

Web Context

You can also provide the contents of a web page as additional context to be used along with the prompt:

async with SydneyClient() as sydney:
    response = await sydney.ask("Describe the webpage", context="<web-page-source>")
    print(response)

Compose

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

async with SydneyClient() as sydney:
    response = await 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 default available options for the tone parameter are:

  • professional
  • casual
  • enthusiastic
  • informational
  • funny

It is also possible to provide any other value for the tone parameter.

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, ask_stream support this feature:

async with SydneyClient() as sydney:
    response, suggested_responses = await sydney.ask("When was Bing Chat released?", suggestions=True)
    if suggested_responses:
        print("Suggestions:")
        for suggestion in suggested_responses:
            print(suggestion)

And also compose and compose_stream:

async with SydneyClient() as sydney:
    response, suggested_responses = await sydney.compose(
        "Why Python is a great language", format="ideas", 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, all ask and compose methods return only the response.

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

Compose using Suggestions

You can also improve or alter the results of compose by using either the suggested responses or any other prompt:

async with SydneyClient() as sydney:
    response, suggested_responses = await sydney.compose(
        prompt="Why Python is a great language", format="ideas", suggestions=True,
    )

    response, suggested_responses = await sydney.compose(
        prompt=suggested_responses[0], format="ideas", suggestions=True
    )

    print(response)

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)

Exceptions

When something goes wrong, Sydney.py might throw one of the following exceptions:

Exception Meaning Solution
NoConnectionException No connection to Bing Chat was found Retry
NoResponseException No response was returned from Bing Chat Retry or use new cookie
ThrottledRequestException Request is throttled Wait and retry
CaptchaChallengeException Captcha challenge must be solved Use new cookie
ConversationLimitException Reached conversation limit of N messages Start new conversation
CreateConversationException Failed to create conversation Retry or use new cookie
GetConversationsException Failed to get conversations Retry

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sydney_py-0.17.0.tar.gz (15.1 kB view hashes)

Uploaded Source

Built Distribution

sydney_py-0.17.0-py3-none-any.whl (14.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page