sm-chat 1767581.686.835
High-quality integration for https://supermaker.ai/chat/
Requires Python: >=3.6

# sm-chat

The `sm-chat` library provides a streamlined interface for demonstrating and integrating with the SuperMaker AI chat platform. This package allows developers to quickly explore and prototype interactions with AI-powered conversational agents.

## Installation

You can install the `sm-chat` package using pip:
bash
pip install sm-chat

## Basic Usage

The following examples illustrate common use cases for the `sm-chat` library. Please note that specific API keys or authentication details might be required for full functionality, depending on the SuperMaker AI chat platform's requirements. Consult the SuperMaker AI documentation for details.

**Example 1: Initiating a Simple Conversation**

This example demonstrates a basic exchange with the chat agent.
python
import sm_chat

# Assuming you have a valid API key or authentication token
api_key = "YOUR_API_KEY"  # Replace with your actual API key

chat_client = sm_chat.ChatClient(api_key=api_key)

response = chat_client.send_message("Hello, how are you today?")
print(response)

**Example 2: Handling User Input and Generating Responses**

This example shows how to manage user input and receive responses from the chat agent in an interactive loop.
python
import sm_chat

api_key = "YOUR_API_KEY" # Replace with your actual API key

chat_client = sm_chat.ChatClient(api_key=api_key)

while True:
    user_input = input("You: ")
    if user_input.lower() == "exit":
        break
    response = chat_client.send_message(user_input)
    print("AI: ", response)

**Example 3: Customizing the Chat Agent's Personality (If Supported)**

If the SuperMaker AI chat platform supports personality customization, this example demonstrates how to potentially modify the agent's behavior. This is a placeholder; refer to the actual API documentation for specific parameters.
python
import sm_chat

api_key = "YOUR_API_KEY" # Replace with your actual API key

chat_client = sm_chat.ChatClient(api_key=api_key)

# Placeholder for personality customization (check SuperMaker AI documentation)
customization_options = {
    "tone": "professional",
    "style": "concise"
}

chat_client.configure(customization_options)  # Assuming a configure method exists

response = chat_client.send_message("Explain the concept of artificial intelligence.")
print(response)

**Example 4: Utilizing Context for More Relevant Responses**

This demonstrates how to maintain context across multiple messages to achieve a more coherent conversation.
python
import sm_chat

api_key = "YOUR_API_KEY" # Replace with your actual API key

chat_client = sm_chat.ChatClient(api_key=api_key)

# First Message
response1 = chat_client.send_message("I am planning a trip to Paris.")
print("AI: ", response1)

# Second Message (with context)
response2 = chat_client.send_message("What are some must-see attractions?", conversation_id=chat_client.conversation_id)
print("AI: ", response2)

## Features

*   **Simplified API:** Provides an easy-to-use interface for interacting with the SuperMaker AI chat platform.
*   **Message Handling:** Facilitates sending messages to the chat agent and receiving responses.
*   **Context Management:** (Potentially) Supports maintaining conversation context for more coherent interactions.
*   **Customization:** (Potentially) Allows for customizing the chat agent's personality and behavior (depending on platform support).
*   **Error Handling:** Includes basic error handling to manage potential issues during communication.

## License

MIT

This project is a gateway to the sm-chat ecosystem. For advanced features and full capabilities, please visit: https://supermaker.ai/chat/