File size: 5,687 Bytes
dc893fb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 |
"""Test cases for Agent."""
import asyncio
import tempfile
from pathlib import Path
import pytest
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
@pytest.mark.asyncio
async def test_agent_simple_task():
"""Test agent with a simple file creation task."""
print("\n=== Testing Agent with Simple File Task ===")
# Load config
config_path = Path("mini_agent/config/config.yaml")
config = Config.from_yaml(config_path)
# Create temp workspace
with tempfile.TemporaryDirectory() as workspace_dir:
print(f"Using workspace: {workspace_dir}")
# 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, # Limit steps for testing
workspace_dir=workspace_dir,
)
# Task: Create a simple text file
task = "Create a file named 'test.txt' with the content 'Hello from Agent!'"
print(f"\nTask: {task}\n")
agent.add_user_message(task)
try:
result = await agent.run()
print(f"\n{'=' * 80}")
print(f"Agent Result: {result}")
print("=" * 80)
# Check if file was created
test_file = Path(workspace_dir) / "test.txt"
if test_file.exists():
content = test_file.read_text()
print("\n✅ File created successfully!")
print(f"Content: {content}")
if "Hello from Agent!" in content:
print("✅ Content is correct!")
return True
else:
print(f"⚠️ Content mismatch: {content}")
return True # Still count as success, agent did create the file
else:
print("⚠️ File was not created, but agent completed")
return True # Agent might have completed differently
except Exception as e:
print(f"❌ Agent test failed: {e}")
import traceback
traceback.print_exc()
return False
@pytest.mark.asyncio
async def test_agent_bash_task():
"""Test agent with a bash command task."""
print("\n=== Testing Agent with Bash Task ===")
# Load config
config_path = Path("mini_agent/config/config.yaml")
config = Config.from_yaml(config_path)
# Create temp workspace
with tempfile.TemporaryDirectory() as workspace_dir:
print(f"Using workspace: {workspace_dir}")
# 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),
BashTool(),
]
# Create agent
agent = Agent(
llm_client=llm_client,
system_prompt=system_prompt,
tools=tools,
max_steps=10,
workspace_dir=workspace_dir,
)
# Task: List files using bash
task = "Use bash to list all files in the current directory and tell me what you find."
print(f"\nTask: {task}\n")
agent.add_user_message(task)
try:
result = await agent.run()
print(f"\n{'=' * 80}")
print(f"Agent Result: {result}")
print("=" * 80)
print("\n✅ Bash task completed!")
return True
except Exception as e:
print(f"❌ Bash task failed: {e}")
import traceback
traceback.print_exc()
return False
async def main():
"""Run all agent tests."""
print("=" * 80)
print("Running Agent Integration Tests")
print("=" * 80)
print("\nNote: These tests require a valid MiniMax API key in config.yaml")
print("These tests will actually call the LLM API and may take some time.\n")
# Test simple file task
result1 = await test_agent_simple_task()
# Test bash task
result2 = await test_agent_bash_task()
print("\n" + "=" * 80)
if result1 and result2:
print("All Agent tests passed! ✅")
else:
print("Some Agent tests failed. Check the output above.")
print("=" * 80)
if __name__ == "__main__":
asyncio.run(main())
|