- Add Python package with LangGraph-based agent for consistent tool calling - Provides reliable tool execution for providers with inconsistent native support - Includes tools: shell, file_read, file_write, web_search, http_request, memory - Discord bot integration included - CLI tool for quick interactions - Works with any OpenAI-compatible provider (Z.AI, OpenRouter, Groq, etc.) Why: Some LLM providers (e.g., GLM-5/Zhipu) have inconsistent tool calling behavior. LangGraph's structured approach guarantees reliable tool execution across all providers.
113 lines
3.4 KiB
Python
113 lines
3.4 KiB
Python
"""
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CLI entry point for zeroclaw-tools.
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"""
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import argparse
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import asyncio
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import os
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import sys
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from langchain_core.messages import HumanMessage
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from .agent import create_agent
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from .tools import (
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shell,
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file_read,
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file_write,
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web_search,
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http_request,
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memory_store,
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memory_recall,
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)
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DEFAULT_SYSTEM_PROMPT = """You are ZeroClaw, an AI assistant with full system access. Use tools to accomplish tasks.
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Be concise and helpful. Execute tools directly without excessive explanation."""
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async def chat(message: str, api_key: str, base_url: str, model: str) -> str:
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"""Run a single chat message through the agent."""
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agent = create_agent(
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tools=[shell, file_read, file_write, web_search, http_request, memory_store, memory_recall],
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model=model,
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api_key=api_key,
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base_url=base_url,
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system_prompt=DEFAULT_SYSTEM_PROMPT,
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)
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result = await agent.ainvoke({"messages": [HumanMessage(content=message)]})
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return result["messages"][-1].content or "Done."
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def main():
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"""CLI main entry point."""
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parser = argparse.ArgumentParser(
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description="ZeroClaw Tools - LangGraph-based tool calling for LLMs"
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)
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parser.add_argument("message", nargs="+", help="Message to send to the agent")
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parser.add_argument("--model", "-m", default="glm-5", help="Model to use")
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parser.add_argument("--api-key", "-k", default=None, help="API key")
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parser.add_argument("--base-url", "-u", default=None, help="API base URL")
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parser.add_argument("--interactive", "-i", action="store_true", help="Interactive mode")
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args = parser.parse_args()
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api_key = args.api_key or os.environ.get("API_KEY") or os.environ.get("GLM_API_KEY")
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base_url = args.base_url or os.environ.get("API_BASE", "https://api.z.ai/api/coding/paas/v4")
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if not api_key:
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print("Error: API key required. Set API_KEY env var or use --api-key", file=sys.stderr)
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sys.exit(1)
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if args.interactive:
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print("ZeroClaw Tools CLI (Interactive Mode)")
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print("Type 'exit' to quit\n")
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agent = create_agent(
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tools=[
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shell,
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file_read,
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file_write,
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web_search,
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http_request,
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memory_store,
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memory_recall,
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],
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model=args.model,
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api_key=api_key,
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base_url=base_url,
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system_prompt=DEFAULT_SYSTEM_PROMPT,
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)
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history = []
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while True:
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try:
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user_input = input("You: ").strip()
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if not user_input:
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continue
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if user_input.lower() in ["exit", "quit", "q"]:
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print("Goodbye!")
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break
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history.append(HumanMessage(content=user_input))
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result = asyncio.run(agent.ainvoke({"messages": history}))
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for msg in result["messages"][len(history) :]:
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history.append(msg)
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response = result["messages"][-1].content or "Done."
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print(f"\nZeroClaw: {response}\n")
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except KeyboardInterrupt:
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print("\nGoodbye!")
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break
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else:
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message = " ".join(args.message)
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result = asyncio.run(chat(message, api_key, base_url, args.model))
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print(result)
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if __name__ == "__main__":
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main()
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