playlab-api 0.1.0

A Python client for the Playlab API

Playlab Python Client

A Python client for interacting with the Playlab API.

Requirements

• Python 3.7 or later
• Required Python packages (installed automatically):
  • requests>=2.31.0
  • readline (on non-Windows platforms)

Installation

pip install playlab-python

Quick Start

Basic Usage

from playlab_python import PlaylabClient

# Initialize the client
client = PlaylabClient(
    api_key="your_api_key_here",
    project_id="your_project_id_here"
)

# Create a new conversation
conversation = client.create_conversation()
conversation_id = conversation["conversation"]["id"]

# Send a message and get the response
response = client.send_message(conversation_id, "Hello, AI!")

# Stream a response with real-time updates
def on_chunk(chunk):
    print(chunk, end="", flush=True)

full_response = client.stream_message(
    conversation_id,
    "Tell me a story",
    on_chunk=on_chunk
)

# List all messages in a conversation
messages = client.list_messages(conversation_id)

Interactive Chat Example

The package includes an interactive chat example that you can run directly:

from playlab_python import start_chat

# Start an interactive chat session
start_chat(
    api_key="your_api_key_here",
    project_id="your_project_id_here"
)

Or run it from the command line:

# Set environment variables
export PLAYLAB_API_KEY="your_api_key_here"
export PLAYLAB_PROJECT_ID="your_project_id_here"

# Run the interactive chat (either way works)
playlab-chat
# or
python -m playlab_python

Environment Variables

You can set your API key and project ID using environment variables:

export PLAYLAB_API_KEY="your_api_key_here"
export PLAYLAB_PROJECT_ID="your_project_id_here"

Then initialize the client without parameters:

client = PlaylabClient()

Features

• Create new conversations
• Send messages and receive responses
• Stream responses in real-time
• List conversation messages
• Support for file attachments
• Environment variable configuration
• Interactive chat interface

API Reference

PlaylabClient

The main client class for interacting with the Playlab API.

Methods

• create_conversation(instruction_variables=None, use_form=False): Create a new conversation
• send_message(conversation_id, message, file_path=None, use_form=False): Send a message in a conversation
• list_messages(conversation_id): List all messages in a conversation
• stream_message(conversation_id, message, on_chunk=None, use_form=False): Send a message and stream the response

Interactive Chat

The package provides an interactive chat interface through the start_chat function:

from playlab_python import start_chat

start_chat(api_key="your_api_key_here", project_id="your_project_id_here")

This will start an interactive session where you can:

• Type messages and press Enter to send
• See AI responses in real-time
• Type "exit" to end the conversation

License

MIT License