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"""Example 2: Simple Agent Usage
This example demonstrates how to create and run a basic agent
to perform simple file operations.
Based on: tests/test_agent.py
"""
import asyncio
import tempfile
from pathlib import Path
from mini_agent import LLMClient
from mini_agent.agent import Agent
from mini_agent.config import Config
from mini_agent.tools import BashTool, EditTool, ReadTool, WriteTool
async def demo_file_creation():
"""Demo: Agent creates a file based on user request."""
print("\n" + "=" * 60)
print("Demo: Agent-Driven File Creation")
print("=" * 60)
# Load configuration
config_path = Path("mini_agent/config/config.yaml")
if not config_path.exists():
print("❌ config.yaml not found. Please set up your API key first.")
print(" Run: cp mini_agent/config/config-example.yaml mini_agent/config/config.yaml")
return
config = Config.from_yaml(config_path)
# Check API key
if not config.llm.api_key or config.llm.api_key.startswith("YOUR_"):
print("❌ API key not configured in config.yaml")
return
# Create temporary workspace
with tempfile.TemporaryDirectory() as workspace_dir:
print(f"📁 Workspace: {workspace_dir}\n")
# Load system prompt (Agent will auto-inject workspace info)
system_prompt_path = Path("mini_agent/config/system_prompt.md")
if system_prompt_path.exists():
system_prompt = system_prompt_path.read_text(encoding="utf-8")
else:
system_prompt = "You are a helpful AI assistant that can use tools."
# Initialize LLM client
llm_client = LLMClient(
api_key=config.llm.api_key,
api_base=config.llm.api_base,
model=config.llm.model,
)
# Initialize tools
tools = [
ReadTool(workspace_dir=workspace_dir),
WriteTool(workspace_dir=workspace_dir),
EditTool(workspace_dir=workspace_dir),
BashTool(),
]
# Create agent
agent = Agent(
llm_client=llm_client,
system_prompt=system_prompt,
tools=tools,
max_steps=10,
workspace_dir=workspace_dir,
)
# Task: Create a Python hello world file
task = """
Create a Python file named 'hello.py' that:
1. Defines a function called greet(name)
2. The function prints "Hello, {name}!"
3. Calls the function with name="Mini Agent"
"""
print("📝 Task:")
print(task)
print("\n" + "=" * 60)
print("🤖 Agent is working...\n")
agent.add_user_message(task)
try:
result = await agent.run()
print("\n" + "=" * 60)
print("✅ Agent completed the task!")
print("=" * 60)
print(f"\nAgent's response:\n{result}\n")
# Check if file was created
hello_file = Path(workspace_dir) / "hello.py"
if hello_file.exists():
print("=" * 60)
print("📄 Created file content:")
print("=" * 60)
print(hello_file.read_text())
print("=" * 60)
else:
print("⚠️ File was not created (but agent may have completed differently)")
except Exception as e:
print(f"❌ Error: {e}")
import traceback
traceback.print_exc()
async def demo_bash_task():
"""Demo: Agent executes bash commands."""
print("\n" + "=" * 60)
print("Demo: Agent-Driven Bash Commands")
print("=" * 60)
# Load configuration
config_path = Path("mini_agent/config/config.yaml")
if not config_path.exists():
print("❌ config.yaml not found")
return
config = Config.from_yaml(config_path)
if not config.llm.api_key or config.llm.api_key.startswith("YOUR_"):
print("❌ API key not configured")
return
with tempfile.TemporaryDirectory() as workspace_dir:
print(f"📁 Workspace: {workspace_dir}\n")
# Load system prompt (Agent will auto-inject workspace info)
system_prompt_path = Path("mini_agent/config/system_prompt.md")
if system_prompt_path.exists():
system_prompt = system_prompt_path.read_text(encoding="utf-8")
else:
system_prompt = "You are a helpful AI assistant that can use tools."
# Initialize LLM
llm_client = LLMClient(
api_key=config.llm.api_key,
api_base=config.llm.api_base,
model=config.llm.model,
)
# Tools
tools = [
ReadTool(workspace_dir=workspace_dir),
WriteTool(workspace_dir=workspace_dir),
BashTool(),
]
# Create agent
agent = Agent(
llm_client=llm_client,
system_prompt=system_prompt,
tools=tools,
max_steps=10,
workspace_dir=workspace_dir,
)
# Task: Use bash to get system info
task = """
Use bash commands to:
1. Show the current date and time
2. List all Python files in the current directory
3. Count how many Python files exist
"""
print("📝 Task:")
print(task)
print("\n" + "=" * 60)
print("🤖 Agent is working...\n")
agent.add_user_message(task)
try:
result = await agent.run()
print("\n" + "=" * 60)
print("✅ Agent completed!")
print("=" * 60)
print(f"\nAgent's response:\n{result}\n")
except Exception as e:
print(f"❌ Error: {e}")
async def main():
"""Run all demos."""
print("=" * 60)
print("Simple Agent Usage Examples")
print("=" * 60)
print("\nThese examples show how to create an agent and give it tasks.")
print("The agent uses LLM to decide which tools to call.\n")
# Run demos
await demo_file_creation()
print("\n" * 2)
await demo_bash_task()
print("\n" + "=" * 60)
print("All demos completed! ✅")
print("=" * 60)
if __name__ == "__main__":
asyncio.run(main())
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