Pywayne LLM Chat Window

Pywayne Chat Window

This module provides a PyQt5-based desktop GUI chat window for LLM conversations.

Quick Start

from pywayne.llm.chat_window import ChatWindow

# Basic usage - quick launch
ChatWindow.launch(
    base_url="https://api.deepseek.com/v1",
    api_key="your_api_key",
    model="deepseek-chat"
)

Configuration

Using ChatConfig dataclass for full customization:

from pywayne.llm.chat_window import ChatWindow, ChatConfig

config = ChatConfig(
    base_url="https://api.deepseek.com/v1",
    api_key="your_api_key",
    model="deepseek-chat",
    temperature=0.8,
    window_title="AI Assistant",
    window_width=800,
    window_height=600
)

chat = ChatWindow(config)
chat.run()

ChatConfig Parameters

System Messages

Set custom system prompts:

# Replace all system messages
chat.set_system_messages([
    {"role": "system", "content": "You are a Python expert"},
    {"role": "system", "content": "Provide code examples"}
])

# Add single system message
chat.add_system_message("You are now a creative writer")

Quick Launch with System Messages

ChatWindow.launch(
    base_url="https://api.deepseek.com/v1",
    api_key="your_api_key",
    model="deepseek-coder",
    system_messages=[
        {"role": "system", "content": "You are a Python expert"},
        {"role": "system", "content": "Keep answers concise with code"}
    ],
    window_title="Python Assistant"
)

Features

• Streaming responses: Real-time token-by-token display
• Stop generation: Button toggles between "发送" (Send) and "停止" (Stop)
• Message history: Maintains conversation context
• Enter to send: Press Enter in input field to send message
• System messages: Support for multiple system prompts

Requirements

• PyQt5 - GUI framework
• openai - OpenAI-compatible API client

API Reference

ChatWindow

ChatConfig

Dataclass for window and LLM configuration. All parameters optional except base_url and api_key.

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