Skip to main content

PyCharacterAI

An asynchronous Python api wrapper for Character AI using curl-cffi.

[!WARNING] This is an unofficial library made by an enthusiast who has no relation to the CharacterAI development team. CharacterAI has no official api and all breakpoints were found manually using reverse proxy. The author is not responsible for possible consequences of using this library.

The library is under constant development, trying to match the functionality of the website. Anything that isn't described in the documentation may be changed or removed without backward compatibility!


📚 Documentation.


TO-DO:

  • Exceptions.
  • Logging?
  • Finish the docs.


If you have any questions, problems, suggestions, please open an issue or contact me:

Tag


Getting started

First, you need to install the library:

pip install PyCharacterAI


Import the Client class from the library and create a new instance of it:

from PyCharacterAI import Client
client = Client()

Then you need to authenticate client using token:

await client.authenticate("TOKEN")

if you want to be able to upload your avatar you also need to specify web_next_auth token as an additional argument (only this way for now, this may change in the future):

await client.authenticate("TOKEN", web_next_auth="WEB_NEXT_AUTH")


Or you can just call get_client() method:

from PyCharacterAI import get_client

client = await get_client(token="TOKEN", web_next_auth="WEB_NEXT_AUTH")

After authentication, we can use all available library methods.


About tokens and how to get them

⚠️ WARNING, DO NOT SHARE THESE TOKENS WITH ANYONE! Anyone with your tokens has full access to your account!

This library uses two types of tokens: a common token and web_next_auth. The first one is required for almost all methods here and the second one only and only for upload_avatar() method (may change in the future).

Instructions for getting a token

  1. Open the Character.AI website in your browser
  2. Open the developer tools (F12, Ctrl+Shift+I, or Cmd+J)
  3. Go to the Nerwork tab
  4. Interact with website in some way, for example, go to your profile and look for Authorization in the request header
  5. Copy the value after Token

For example, token in https://plus.character.ai/chat/user/public/following/ request headers: img

Instructions for getting a web_next_auth token

  1. Open the Character.AI website in your browser
  2. Open the developer tools (F12, Ctrl+Shift+I, or Cmd+J)
  3. Go to the Storage section and click on Cookies
  4. Look for the web-next-auth key
  5. Copy its value

img


Examples

Here are just some examples of the library's features. If you want to know about all methods and types with explanations, go to methods and types documentation sections.

Simple chatting example

import asyncio

from PyCharacterAI import get_client
from PyCharacterAI.exceptions import SessionClosedError

token = "TOKEN"
character_id = "ID"


async def main():
    client = await get_client(token=token)

    me = await client.account.fetch_me()
    print(f"Authenticated as @{me.username}")

    chat, greeting_message = await client.chat.create_chat(character_id)

    print(f"{greeting_message.author_name}: {greeting_message.get_primary_candidate().text}")

    try:
        while True:
            # NOTE: input() is blocking function!
            message = input(f"[{me.name}]: ")

            answer = await client.chat.send_message(character_id, chat.chat_id, message)
            print(f"[{answer.author_name}]: {answer.get_primary_candidate().text}")

    except SessionClosedError:
        print("session closed. Bye!")

    finally:
        # Don't forget to explicitly close the session
        await client.close_session()

asyncio.run(main())

A more advanced example. You can use so-called streaming to receive a message in parts, as is done on a website, instead of waiting for it to be completely generated:

import asyncio

from PyCharacterAI import get_client
from PyCharacterAI.exceptions import SessionClosedError

token = "TOKEN"
character_id = "ID"


async def main():
    client = await get_client(token=token)

    me = await client.account.fetch_me()
    print(f'Authenticated as @{me.username}')

    chat, greeting_message = await client.chat.create_chat(character_id)

    print(f"[{greeting_message.author_name}]: {greeting_message.get_primary_candidate().text}")

    try:
        while True:
            # NOTE: input() is blocking function!
            message = input(f"[{me.name}]: ")

            answer = await client.chat.send_message(character_id, chat.chat_id, message, streaming=True)

            printed_length = 0
            async for message in answer:
                if printed_length == 0:
                    print(f"[{message.author_name}]: ", end="")

                text = message.get_primary_candidate().text
                print(text[printed_length:], end="")

                printed_length = len(text)
            print("\n")

    except SessionClosedError:
        print("session closed. Bye!")

    finally:
        # Don't forget to explicitly close the session
        await client.close_session()

asyncio.run(main())

Working with images

# We can generate images from a prompt
# (It will return list of urls)
images = await client.utils.generate_image("prompt")

# We can upload an image to use it as an 
# avatar for character/persona/profile

# NOTE: This method requires the specified web_next_auth token
avatar_file = "path to file or url"
avatar = await client.utils.upload_avatar(avatar_file)

Working with voices

# We can search for voices
voices = await client.utils.search_voices("name")

# We can upload the audio as a voice
voice_file = "path to file or url"
voice = await client.utils.upload_voice(voice_file, "voice name")

# We can set and unset a voice for character  
await client.account.set_voice("character_id", "voice_id")
await client.account.unset_voice("character_id")

# And we can use voice to generate speech from the character's messages
speech = await client.utils.generate_speech("chat_id", "turn_id", "candidate_id", "voice_id")

# It will return bytes, so we can use it for example like this:
filepath = "voice.mp3"

with open(filepath, 'wb') as f:
  f.write(speech)
# or we can get just the url.
speech_url = await client.utils.generate_speech("chat_id", "turn_id", "candidate_id", 
                                            "voice_id", return_url=True)

Special Thanks

Release files for PyCharacterAI 2.2.50

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PyCharacterAI 2.2.50
File Size Uploaded
pycharacterai-2.2.50.tar.gz 371.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for PyCharacterAI 2.2.50
File Interpreter ABI Platform
pycharacterai-2.2.50-py3-none-any.whl Python 3 none any Details

Total release size: 397.6 kB

Release files / pycharacterai-2.2.50.tar.gz

Download URL pycharacterai-2.2.50.tar.gz
Size 371.9 kB
Tags Source
SHA-256 checksum
How to use checksums
c4fa978751511764c6e1af4a71e49f7c1c7f038fabcffba30f0c8a1ffeb83090
BLAKE2b-256 checksum
How to use checksums
0935bc64b3a807268c0d948c73f72af5e5b79b14730f13cc8e8175eadd5e2d24
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Release files / pycharacterai-2.2.50-py3-none-any.whl

Download URL pycharacterai-2.2.50-py3-none-any.whl
Size 25.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1d91ad3e32605a6f70c88d634408102a8413cea5ab73b0ad890ea5e15889407b
BLAKE2b-256 checksum
How to use checksums
45cdb0fc5fbce9c0d64b9d04593ff40c7951ac60c108b6a5b639385b1dab08ca
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.5

Release history Release notifications | RSS feed

This release

2.2.50 This release

2 release files

2.2.49

2 release files

2.2.48

2 release files

2.2.47

2 release files

2.2.46

2 release files

2.2.45

2 release files

2.2.44

2 release files

2.2.43

2 release files

2.2.42

2 release files

2.2.41

2 release files

2.2.4

2 release files

2.2.3

2 release files

2.2.2

2 release files

1.1.0

1 release file

1.0.3

1 release file

1.0.2

1 release file

1.0.1

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page