Pywayne Llm Chat Window

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.

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Install

openclaw skills install 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

Parameter	Default	Description
`base_url`	required	API base URL
`api_key`	required	API key
`model`	`"deepseek-chat"`	Model name
`temperature`	`0.7`	Temperature (0-2)
`max_tokens`	`2048`	Max output tokens
`top_p`	`1.0`	Nucleus sampling
`frequency_penalty`	`0.0`	Frequency penalty (-2 to 2)
`presence_penalty`	`0.0`	Presence penalty (-2 to 2)
`system_prompt`	`"你是一个严谨的助手"`	System prompt
`window_title`	`"AI Chat"`	Window title
`window_width`	`600`	Window width
`window_height`	`800`	Window height
`window_x`	`300`	Window X position
`window_y`	`300`	Window Y position

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

Method	Description
`__init__(config)`	Initialize with ChatConfig
`set_system_messages(messages)`	Replace all system messages
`add_system_message(content)`	Add single system message
`run()`	Show window and start event loop
`launch(base_url, api_key, ...)`	Class method to quickly launch chat window

ChatConfig

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