name: pywayne-llm-chat-window description: PyQt5-based GUI chat window for LLM conversations with streaming responses and stop functionality. Use when working with pywayne.llm.chat_window module to create desktop chat applications with customizable window configuration, system message management, and real-time streaming display.

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

  本技能来自小葱技能站7w4.net。

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.

这个 Skill 文档写得清晰明白，功能说明和使用示例都很详细，看起来是一个功能完整的桌面聊天工具。主要问题是它只提供了使用说明，却没有实际的代码文件，所以用户拿到手后可能无法直接使用，需要等待后续版本补充代码。对于想快速体验桌面 AI 对话功能的用户来说，目前版本的价值有限。