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This commit is contained in:
2026-08-20 13:12:50 +00:00
commit b119135836
10275 changed files with 3284984 additions and 0 deletions
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"""Test import bootstrap for the agent-with-event-trigger experiment."""
from pathlib import Path
import sys
EXPERIMENT_ROOT = Path(__file__).resolve().parents[1]
if str(EXPERIMENT_ROOT) not in sys.path:
sys.path.insert(0, str(EXPERIMENT_ROOT))
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"""
Simple demo script to test the event-triggered agent locally
without needing the server/client architecture
"""
import os
import sys
from pathlib import Path
EXPERIMENT_ROOT = Path(__file__).resolve().parents[2]
if str(EXPERIMENT_ROOT) not in sys.path:
sys.path.insert(0, str(EXPERIMENT_ROOT))
from agent import EventTriggeredAgent, SystemHintConfig, resolve_provider_and_key
from event_types import Event, EventType
def _reasoning_safe_temperature(model, requested=1.0):
"""Reasoning models (Kimi K3, GPT-5, ...) only accept temperature=1.
Return 1 for those; otherwise the requested value so non-reasoning
providers (Doubao, DeepSeek, older Moonshot) are unchanged."""
m = str(model or "").lower().replace("/", "-")
return 1 if ("kimi-k3" in m or "gpt-5" in m) else requested
def main():
"""Run a simple demo of the event-triggered agent"""
print("\n" + "="*80)
print("🧪 EVENT-TRIGGERED AGENT DEMO")
print("="*80)
print()
# Get provider and API key (including DashScope/Bailian aliases and fallback)
provider = os.getenv("LLM_PROVIDER", "kimi").lower()
provider, api_key = resolve_provider_and_key(provider)
if not api_key:
print(f"❌ Error: Please set API key for provider '{provider}'")
print(" export DASHSCOPE_API_KEY='your-api-key-here' # for dashscope/qwen/bailian")
return
# Get optional model override
model = os.getenv("LLM_MODEL")
# Create agent with full system hints (matching conversational_agent.py config)
config = SystemHintConfig(
enable_timestamps=True,
enable_tool_counter=True,
enable_todo_list=True,
enable_detailed_errors=True,
enable_system_state=True,
save_trajectory=True,
trajectory_file="demo_trajectory.json",
temperature=_reasoning_safe_temperature(model, 0.7), # Matching conversational_agent.py
max_tokens=4096 # Matching conversational_agent.py
)
agent = EventTriggeredAgent(
api_key=api_key,
provider=provider,
model=model,
config=config,
verbose=True
)
print("✅ Agent initialized\n")
# Demo 1: Web message
print("\n" + "-"*80)
print("📋 Demo 1: Web Interface Message")
print("-"*80)
event1 = Event(
event_type=EventType.WEB_MESSAGE,
content="Create a simple Python script that prints 'Hello, Event-Triggered Agent!' and save it as demo_hello.py",
metadata={"user_id": "demo_user"}
)
result1 = agent.handle_event(event1, max_iterations=10)
print(f"\n✅ Event handled. Success: {result1['success']}")
print(f" Iterations: {result1['iterations']}")
print(f" Tool calls: {len(result1['tool_calls'])}")
# Demo 2: IM message
print("\n" + "-"*80)
print("📋 Demo 2: Instant Message")
print("-"*80)
event2 = Event(
event_type=EventType.IM_MESSAGE,
content="Can you run the script you just created?",
metadata={"sender": "Alice", "platform": "Slack"}
)
result2 = agent.handle_event(event2, max_iterations=10)
print(f"\n✅ Event handled. Success: {result2['success']}")
print(f" Iterations: {result2['iterations']}")
print(f" Tool calls: {len(result2['tool_calls'])}")
# Demo 3: System alert
print("\n" + "-"*80)
print("📋 Demo 3: System Alert")
print("-"*80)
event3 = Event(
event_type=EventType.SYSTEM_ALERT,
content="Please check the current directory and list all Python files.",
metadata={"alert_type": "routine_check"}
)
result3 = agent.handle_event(event3, max_iterations=10)
print(f"\n✅ Event handled. Success: {result3['success']}")
print(f" Iterations: {result3['iterations']}")
print(f" Tool calls: {len(result3['tool_calls'])}")
# Summary
print("\n" + "="*80)
print("📊 DEMO SUMMARY")
print("="*80)
print(f"Total events processed: 3")
print(f"Total tool calls: {len(agent.tool_calls)}")
print(f"Total conversation messages: {len(agent.conversation_history)}")
print(f"Trajectory saved to: {config.trajectory_file}")
print()
print("✅ Demo completed successfully!")
print()
print("💡 Next steps:")
print(" - Check demo_hello.py to see the created file")
print(" - View demo_trajectory.json to see the full conversation")
print(" - Run 'python server.py' and 'python client.py' for the full system")
print("="*80 + "\n")
if __name__ == "__main__":
main()
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"""Regression tests for the code interpreter's execution namespace."""
import importlib.util
import sys
import types
import unittest
from pathlib import Path
from unittest.mock import patch
def _load_agent_module():
openai = types.ModuleType("openai")
openai.OpenAI = type("OpenAI", (), {})
mcp = types.ModuleType("mcp")
mcp.__path__ = []
mcp.ClientSession = type("ClientSession", (), {})
mcp.StdioServerParameters = type("StdioServerParameters", (), {})
mcp_client = types.ModuleType("mcp.client")
mcp_client.__path__ = []
mcp_stdio = types.ModuleType("mcp.client.stdio")
mcp_stdio.stdio_client = lambda *args, **kwargs: None
mcp_types = types.ModuleType("mcp.types")
mcp_types.TextContent = type("TextContent", (), {})
stubs = {
"openai": openai,
"mcp": mcp,
"mcp.client": mcp_client,
"mcp.client.stdio": mcp_stdio,
"mcp.types": mcp_types,
}
module_path = Path(__file__).resolve().parents[1] / "agent.py"
module_name = "_event_trigger_agent_under_test"
spec = importlib.util.spec_from_file_location(module_name, module_path)
module = importlib.util.module_from_spec(spec)
with patch.dict(sys.modules, stubs):
sys.modules[module_name] = module
sys.path.insert(0, str(module_path.parent))
try:
spec.loader.exec_module(module)
finally:
sys.path.pop(0)
return module
class CodeInterpreterNamespaceTests(unittest.TestCase):
def test_code_interpreter_shares_names_with_defined_functions(self):
agent_module = _load_agent_module()
agent = agent_module.EventTriggeredAgent.__new__(agent_module.EventTriggeredAgent)
result = agent._tool_code_interpreter(
"value = 5\n"
"def double():\n"
" return value * 2\n"
"print(double())"
)
self.assertEqual(
result,
{
"success": True,
"stdout": "10\n",
"stderr": "",
},
)
if __name__ == "__main__":
unittest.main()
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"""Regression test: malformed AGENT_PORT must not crash server startup.
Both server variants parsed AGENT_PORT with bare int() (one inside
build_parser's default, one in main), so AGENT_PORT=abc crashed with an
unhandled ValueError at startup. They now fall back to 8000 with a warning.
"""
import os
import sys
sys.path.insert(0, os.path.dirname(__file__))
import server
import server_fastapi
def test_env_int_falls_back_on_malformed(monkeypatch):
monkeypatch.setenv("AGENT_PORT", "abc")
assert server._env_int("AGENT_PORT", 8000) == 8000
assert server_fastapi._env_int("AGENT_PORT", 8000) == 8000
def test_env_int_parses_valid_value(monkeypatch):
monkeypatch.setenv("AGENT_PORT", "9000")
assert server._env_int("AGENT_PORT", 8000) == 9000
assert server_fastapi._env_int("AGENT_PORT", 8000) == 9000
def test_env_int_default_when_unset(monkeypatch):
monkeypatch.delenv("AGENT_PORT", raising=False)
assert server._env_int("AGENT_PORT", 8000) == 8000
def test_build_parser_survives_malformed_env(monkeypatch):
monkeypatch.setenv("AGENT_PORT", "not-a-port")
args = server.build_parser().parse_args([])
assert args.port == 8000
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"""
Test suite locking out TypeError in event server response formatting
when handle_event returns a result dictionary with tool_calls or todo_list set to None.
"""
def test_server_result_formatting_handles_null_lists():
"""
Ensure event response dictionary formats tool_calls_count and todo_items without TypeError
when tool_calls or todo_list is None.
"""
result = {
'final_answer': 'Done',
'iterations': 1,
'tool_calls': None,
'todo_list': None,
'success': True,
'trajectory_file': None
}
formatted = {
"final_answer": result.get('final_answer'),
"iterations": result.get('iterations'),
"tool_calls_count": len(result.get('tool_calls') or []),
"todo_items": len(result.get('todo_list') or []),
"success": result.get('success', False),
"trajectory_file": result.get('trajectory_file')
}
assert formatted["tool_calls_count"] == 0
assert formatted["todo_items"] == 0