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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 cr...

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PyQt5-based GUI chat window for LLM conversations with streaming responses and stop functionality. Use when working with pywayne.llm.chat_window module to cr...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

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  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

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

ParameterDefaultDescriptionbase_urlrequiredAPI base URLapi_keyrequiredAPI keymodel"deepseek-chat"Model nametemperature0.7Temperature (0-2)max_tokens2048Max output tokenstop_p1.0Nucleus samplingfrequency_penalty0.0Frequency penalty (-2 to 2)presence_penalty0.0Presence penalty (-2 to 2)system_prompt"你是一个严谨的助手"System promptwindow_title"AI Chat"Window titlewindow_width600Window widthwindow_height800Window heightwindow_x300Window X positionwindow_y300Window 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

ChatWindow

MethodDescription__init__(config)Initialize with ChatConfigset_system_messages(messages)Replace all system messagesadd_system_message(content)Add single system messagerun()Show window and start event looplaunch(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.

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc