Python API to use WorkHub API for conversational AI.
Project description
Workhub API Client
The Workhub API Client is a Python package designed to simplify interactions with the Workhub API. It supports user authentication, company information retrieval, conversation management, message handling, and direct integration with GPT-4 for processing messages.
Features
- User authentication
- Fetch company information
- Manage conversations
- Send messages with optional GPT-4 processing
- Stream bot responses directly after sending a message
Installation
To install the Workhub API Client, use pip:
pip install workhub-client
Quick Start
Initialize the Client
First, create an instance of the WorkhubClient:
from workhub_client import WorkhubClient
client = WorkhubClient()
Authenticate
Log in using your Workhub credentials:
client.login('your_email@example.com', 'your_password')
Fetch Company Information
Retrieve and automatically set your active company UUID:
company_info = client.get_company_info()
print(company_info)
Send a Message
Send a message to a specific conversation. You can specify GPT-4 processing by setting document_type='GPT4'.
conversation_uuid = 'your_conversation_uuid_here'
response = client.send_user_message(
conversation_uuid,
"What's the weather like today?",
document_type='GPT4'
)
print(response)
Stream Bot Responses
Send a user message and directly stream the bot's response:
client.stream_bot_message(
conversation_uuid="your_conversation_uuid",
content="when was uark founded?",
document_type="GPT4"
)
This method sends a message and immediately starts listening for and printing the streamed response from the bot.
Workhub API Client Example
This section provides a simple Python program example that uses the Workhub API Client to authenticate, fetch company information, send a message with GPT-4 processing, and stream the bot's response.
Example Program
from workhub_client import WorkHubClient
def main():
# Initialize the Workhub API client
client = WorkHubClient()
# Login with your Workhub credentials
print("Logging in...")
client.login('your_email@example.com', 'your_password')
# Fetch and display company information
print("Fetching company information...")
company_info = client.get_company_info()
print(f"Company Info: {company_info}")
# Specify the UUID of the conversation you want to interact with
conversation_uuid = 'your_conversation_uuid_here'
# Send a message using GPT-4 processing and display the response
print("Sending a message with GPT-4 processing...")
message_response = client.send_user_message(
conversation_uuid,
"What's the weather like today?",
document_type='GPT4'
)
print(f"Message Response: {message_response}")
# Stream bot's response directly after sending a message
print("Streaming bot's response...")
client.stream_bot_message(
conversation_uuid=conversation_uuid,
content="when was uark founded?",
document_type="GPT4"
)
if __name__ == "__main__":
main()
Running the Example
- Replace
'your_email@example.com','your_password', and'your_conversation_uuid_here'with your actual Workhub credentials and the UUID of the conversation you want to send a message to. - Save the program to a file, for example,
workhub_example.py. - Run the program using Python:
python workhub_example.py
This example demonstrates the core functionalities of the Workhub API Client, making it easy for users to understand how to use the package in their applications. Remember, when sharing or using your credentials and sensitive information, always ensure they are secured and not hardcoded in production scripts.
Contributing
Contributions to the Workhub API Client are welcome. Please feel free to submit pull requests or report issues to improve the project.
License
This project is released under the MIT License.
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