Sydney.py

Python Client for Copilot (formerly named Bing Chat), also known as Sydney.

Note

This is an unofficial client.

Features

Connect to Copilot, 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.
Customize your experience using any of the supported personas.
Use asyncio for efficient and non-blocking I/O operations.

Requirements

Python 3.9 or newer
Microsoft account with access to Copilot (optional)

Installation

To install Sydney.py, run the following command:

pip install sydney-py

or, if you use poetry:

poetry add sydney-py

Tip

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

Usage

Prerequisites

To use Sydney.py, you first need to extract all the cookies from the Copilot web page. These cookies are used to authenticate your requests to the Copilot API.

To get the cookies, follow these steps on Microsoft Edge:

Go to the Copilot web page.
Open the developer tools in your browser (usually by pressing F12 or right-clicking on the chat dialog and selecting Inspect).
Select the Network tab to view all requests sent to Copilot.
Write a message on the chat dialog that appears on the web page.
Find a request named create?bundleVersion=XYZ and click on it.
Scroll down to the requests headers section and copy the entire value after the Cookie: field.

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

export BING_COOKIES=<your-cookies>

or, in your Python code:

os.environ["BING_COOKIES"] = "<your-cookies>"

Tip

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

Tip

It is also possible to use the Cookie-Editor extension, export the cookies in Header String format and set them the same way.

Important

For regions where a cookie is required, it is recommended to manually write messages to Copilot until a box containing a Verifying message appears, which should then switch to a Success! message. 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 Copilot:

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 Copilot which starts a conversation:

sydney = SydneyClient()

await sydney.start_conversation()

# Conversation

await sydney.close_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 Copilot 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 or a local image file path 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-or-path>")
    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)

Web Search

It is possible to determine if Copilot can search the web for information to use in the results:

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

Searching the web is enabled by default.

Note

Web search cannot be disabled when the response is streamed.

Personas

It is possible to use specialized versions of Copilot, suitable for specific tasks or conversations:

async with SydneyClient(persona="travel") as sydney:
    response = await sydney.ask("Tourist attractions in Sydney")
    print(response)

The available options for the persona parameter are:

copilot
travel
cooking
fitness

By default, Sydney will use the copilot persona.

Compose

You can ask Copilot 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 Copilot 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 Copilot 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 Copilot was found	Retry
`ConnectionTimeoutException`	Attempt to connect to Copilot timed out	Retry
`NoResponseException`	No response was returned from Copilot	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.

iamfaith/sydney.py

Sydney.py

Features

Requirements

Installation

Usage

Prerequisites

Example

Sydney Client

Conversation Style

Reset Conversation

Ask

Attachment

Web Context

Web Search

Personas

Compose

Suggested Responses

Compose using Suggestions

Raw Response

Conversations

Exceptions

License