Skip to main content

Toolkit for Chat API

Project description

中文文档移步这里

ChatAPI Toolkit

PyPI version Tests Documentation Status Coverage

Toolkit for Chat API, supporting multi-turn dialogue, proxy, and asynchronous data processing.

Installation

pip install chattool --upgrade

Usage

Set API Key and Base URL

Method 1, write in Python code:

import chattool
chattool.api_key = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
chattool.base_url = "https://api.example.com"

Method 2, set environment variables in ~/.bashrc or ~/.zshrc:

export OPENAI_API_KEY="sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
export OPENAI_BASE_URL="https://api.example.com"

Examples

Example 1, simulate multi-turn dialogue:

# first chat
chat = Chat("Hello, GPT-3.5!")
resp = chat.getresponse()

# continue the chat
chat.user("How are you?")
next_resp = chat.getresponse()

# add response manually
chat.user("What's your name?")
chat.assistant("My name is GPT-3.5.")

# save the chat history
chat.save("chat.json", mode="w") # default to "a"

# print the chat history
chat.print_log()

Example 2, process data in batch, and use a checkpoint file checkpoint:

# write a function to process the data
def msg2chat(msg):
    chat = Chat(api_key=api_key)
    chat.system("You are a helpful translator for numbers.")
    chat.user(f"Please translate the digit to Roman numerals: {msg}")
    chat.getresponse()

checkpoint = "chat.jsonl"
msgs = ["%d" % i for i in range(1, 10)]
# process the data
chats = process_chats(msgs[:5], msg2chat, checkpoint, clearfile=True)
# process the rest data, and read the cache from the last time
continue_chats = process_chats(msgs, msg2chat, checkpoint)

Example 3, process data in batch (asynchronous), print hello using different languages, and use two coroutines:

from chattool import async_chat_completion, load_chats

langs = ["python", "java", "Julia", "C++"]
chatlogs = ["print hello using %s" % lang for lang in langs]
async_chat_completion(chatlogs, chkpoint="async_chat.jsonl", ncoroutines=2)
chats = load_chats("async_chat.jsonl")

License

This package is licensed under the MIT license. See the LICENSE file for more details.

update log

Current version 1.0.0 is a stable version, with the redundant feature function call removed, and the asynchronous processing tool added.

Beta version

  • Since version 0.2.0, Chat type is used to handle data
  • Since version 0.3.0, you can use different API Key to send requests.
  • Since version 0.4.0, this package is mantained by cubenlp.
  • Since version 0.5.0, one can use process_chats to process the data, with a customized msg2chat function and a checkpoint file.
  • Since version 0.6.0, the feature function call is added.

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

chattool-2.2.0.tar.gz (18.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

chattool-2.2.0-py3-none-any.whl (20.2 kB view details)

Uploaded Python 3

File details

Details for the file chattool-2.2.0.tar.gz.

File metadata

  • Download URL: chattool-2.2.0.tar.gz
  • Upload date:
  • Size: 18.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for chattool-2.2.0.tar.gz
Algorithm Hash digest
SHA256 f15b9f39ba44e60767e0ec4bae2df4e32dd87c86ff6448b75be0f3dbc3b6fd43
MD5 b32454262de0847e364c019215867421
BLAKE2b-256 2a93ebaae3b41e226520bbc60d7191a305ba1b1e06f4ebda0f90758fde161270

See more details on using hashes here.

File details

Details for the file chattool-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: chattool-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 20.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for chattool-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 45410baa30223414d598efc4a9ff4d9966a68e9015541fa9c1da60417fc91b20
MD5 f9238ca0932f2b6986d80a7f2b09d527
BLAKE2b-256 49b4bc3726c66da8d4109401f5a2055b1fe32e4c44978a0a740280aef1978439

See more details on using hashes here.

Supported by

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