Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
Pywayne Llm Chat Bot
LLM chat interface using OpenAI-compatible APIs with streaming support and session management. Use when working with pywayne.llm.chat_bot module for creating...
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LLM chat interface using OpenAI-compatible APIs with streaming support and session management. Use when working with pywayne.llm.chat_bot module for creating...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
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Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- wangyendt
- Source page
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Documentation
Pywayne LLM Chat Bot
This module provides a synchronous LLM chat interface compatible with OpenAI APIs (including local servers like Ollama).
Quick Start
from pywayne.llm.chat_bot import LLMChat # Create chat instance chat = LLMChat( base_url="https://api.example.com/v1", api_key="your_api_key", model="deepseek-chat" ) # Single-turn conversation (non-streaming) response = chat.ask("Hello, LLM!", stream=False) print(response) # Streaming response for token in chat.ask("Explain recursion", stream=True): print(token, end='', flush=True)
Multi-turn Conversation
# Use chat() for history tracking for token in chat.chat("What is a class in Python?"): print(token, end='', flush=True) # Continuation - remembers previous context for token in chat.chat("How do I define a constructor?"): print(token, end='', flush=True) # View history for msg in chat.history: print(f"{msg['role']}: {msg['content']}") # Clear history chat.clear_history()
LLMConfig Class
from pywayne.llm.chat_bot import LLMConfig config = LLMConfig( base_url="https://api.example.com/v1", api_key="your_api_key", model="deepseek-chat", temperature=0.7, max_tokens=8192, top_p=1.0, frequency_penalty=0.0, presence_penalty=0.0, system_prompt="You are a helpful assistant" ) chat = LLMChat(**config.to_dict())
Dynamic System Prompt Update
chat.update_system_prompt("You are now a Python expert, provide code examples")
Managing Multiple Sessions
from pywayne.llm.chat_bot import ChatManager manager = ChatManager( base_url="https://api.example.com/v1", api_key="your_api_key", model="deepseek-chat", timeout=300 # Session timeout in seconds ) # Get or create chat instance (maintains per-session history) chat1 = manager.get_chat("user1") chat2 = manager.get_chat("user2") # Sessions are independent chat1.chat("Hello from user1") chat2.chat("Hello from user2") # Remove a session manager.remove_chat("user1")
Custom Configuration per Session
custom_config = LLMConfig( base_url=base_url, api_key=api_key, model="deepseek-chat", temperature=0.9, system_prompt="You are a creative writer" ) chat3 = manager.get_chat("user3", config=custom_config)
LLMChat
MethodDescriptionask(prompt, stream=False)Single-turn conversation without historychat(prompt, stream=True)Multi-turn conversation with history trackingupdate_system_prompt(prompt)Update system prompt in-placeclear_history()Clear conversation history (keeps system prompt)history (property)Get copy of current conversation history
ChatManager
MethodDescriptionget_chat(chat_id, stream=True, config=None)Get or create chat instance by IDremove_chat(chat_id)Remove chat session
Parameters
ParameterDefaultDescriptionbase_urlrequiredAPI base URL (e.g., https://api.deepseek.com/v1)api_keyrequiredAPI authentication keymodel"deepseek-chat"Model nametemperature0.7Controls randomness (0-2)max_tokens2048/8192Maximum output tokenstop_p1.0Nucleus sampling (0-1)frequency_penalty0.0Reduces repetition (-2 to 2)presence_penalty0.0Encourages new topics (-2 to 2)system_prompt"δ½ ζ―δΈδΈͺδΈ₯θ°¨ηε©ζ"System messagetimeoutinfSession timeout in seconds (ChatManager only)
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
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Package contents
Included in package
1 Docs
- SKILL.md