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import os
import random
import sys
from pathlib import Path
from aworld.core.task import Task
from aworld.core.agent.base import AgentFactory
from aworld.core.agent.swarm import Swarm
from aworld.runner import Runners
from aworld.agents.llm_agent import Agent
from aworld.config.conf import AgentConfig, ContextRuleConfig, ModelConfig, OptimizationConfig, LlmCompressionConfig
from aworld.core.context.base import Context
from aworld.core.event.base import Message
from aworld.runners.hook.hooks import PreLLMCallHook, PostLLMCallHook
from aworld.runners.hook.hook_factory import HookFactory
from aworld.utils.common import convert_to_snake
class ContextManagement():
"""Test cases for Context Management system based on README examples"""
def init_agent(self, config_type: str = "1", context_rule: ContextRuleConfig = None):
if config_type == "1":
conf = AgentConfig(
llm_model_name=self.mock_model_name,
llm_base_url=self.mock_base_url,
llm_api_key=self.mock_api_key
)
else:
conf = AgentConfig(
llm_config=ModelConfig(
llm_model_name=self.mock_model_name,
llm_base_url=self.mock_base_url,
llm_api_key=self.mock_api_key
)
)
return Agent(
conf=conf,
name="my_agent" + str(random.randint(0, 1000000)),
system_prompt="You are a helpful assistant.",
agent_prompt="You are a helpful assistant.",
context_rule=context_rule
)
def __init__(self):
"""Set up test fixtures"""
self.mock_model_name = "gpt-4o"
self.mock_base_url = "http://localhost:34567"
self.mock_api_key = "lm-studio"
os.environ["LLM_API_KEY"] = self.mock_api_key
os.environ["LLM_BASE_URL"] = self.mock_base_url
os.environ["LLM_MODEL_NAME"] = self.mock_model_name
class _AssertRaisesContext:
"""Context manager for assertRaises"""
def __init__(self, expected_exception):
self.expected_exception = expected_exception
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, traceback):
if exc_type is None:
raise AssertionError(
f"Expected {self.expected_exception.__name__} to be raised, but no exception was raised")
if not issubclass(exc_type, self.expected_exception):
raise AssertionError(
f"Expected {self.expected_exception.__name__} to be raised, but got {exc_type.__name__}: {exc_value}")
return True # Suppress the exception
def fail(self, msg=None):
"""Fail immediately with the given message"""
raise AssertionError(msg or "Test failed")
def run_agent(self, input, agent: Agent):
swarm = Swarm(agent, max_steps=1)
print('swarm ', swarm)
return Runners.sync_run(
input=input,
swarm=swarm
)
def run_multi_agent(self, input, agent1: Agent, agent2: Agent):
swarm = Swarm(agent1, agent2, max_steps=1)
return Runners.sync_run(
input=input,
swarm=swarm
)
def run_task(self, context: Context, agent: Agent):
swarm = Swarm(agent, max_steps=1)
task = Task(input="""What is an agent.""", swarm=swarm, context=context)
result = Runners.sync_run_task(task)
print("----------------------------------------------------------------------------------------------")
print(result)
def default_context_configuration(self):
# No need to explicitly configure context_rule, system automatically uses default configuration
# Default configuration is equivalent to:
# context_rule=ContextRuleConfig(
# optimization_config=OptimizationConfig(
# enabled=True,
# max_token_budget_ratio=1.0 # Use 100% of context window
# ),
# llm_compression_config=LlmCompressionConfig(
# enabled=False # Compression disabled by default
# )
# )
mock_agent = self.init_agent("1")
response = self.run_agent(input="""What is an agent. describe within 20 words""", agent=mock_agent)
print(response.answer)
def custom_context_configuration(self):
"""Test custom context configuration (README Configuration example)"""
# Create custom context rules
mock_agent = self.init_agent(context_rule=ContextRuleConfig(
optimization_config=OptimizationConfig(
enabled=True,
max_token_budget_ratio=0.00015
),
llm_compression_config=LlmCompressionConfig(
enabled=True,
trigger_compress_token_length=100,
compress_model=ModelConfig(
llm_model_name=self.mock_model_name,
llm_base_url=self.mock_base_url,
llm_api_key=self.mock_api_key,
)
)
))
response = self.run_agent(input="""describe What is an agent in details""", agent=mock_agent)
print(response.answer)
def state_management_and_recovery(self):
class StateModifyAgent(Agent):
async def async_policy(self, observation, info=None, **kwargs):
result = await super().async_policy(observation, info, **kwargs)
self.context.state['policy_executed'] = True
return result
class StateTrackingAgent(Agent):
async def async_policy(self, observation, info=None, **kwargs):
result = await super().async_policy(observation, info, **kwargs)
assert self.context.state['policy_executed'] == True
return result
# Create custom agent instance
custom_agent = StateModifyAgent(
conf=AgentConfig(
llm_model_name=self.mock_model_name,
llm_base_url=self.mock_base_url,
llm_api_key=self.mock_api_key
),
name="state_modify_agent",
system_prompt="You are a Python expert who provides detailed and practical answers.",
agent_prompt="You are a Python expert who provides detailed and practical answers.",
)
# Create a second agent for multi-agent testing
second_agent = StateTrackingAgent(
conf=AgentConfig(
llm_model_name=self.mock_model_name,
llm_base_url=self.mock_base_url,
llm_api_key=self.mock_api_key
),
name="state_tracking_agent",
system_prompt="You are a helpful assistant.",
agent_prompt="You are a helpful assistant.",
)
response = self.run_multi_agent(
input="What is an agent. describe within 20 words",
agent1=custom_agent,
agent2=second_agent
)
print(response.answer)
class TestHookSystem(ContextManagement):
def __init__(self):
super().__init__()
def hook_registration(self):
"""Test hook registration and retrieval"""
# Test that hooks are registered in _cls attribute
# Test hook creation using __call__ method
pre_hook = HookFactory("TestPreLLMHook")
post_hook = HookFactory("TestPostLLMHook")
def hook_execution(self):
mock_agent = self.init_agent("1")
response = self.run_agent(input="""What is an agent. describe within 20 words""", agent=mock_agent)
print(response.answer)
def task_context_transfer(self):
mock_agent = self.init_agent("1")
context = Context.instance()
context.state.update({"task": "What is an agent."})
self.run_task(context=context, agent=mock_agent)
if __name__ == '__main__':
testContextManagement = ContextManagement()
testContextManagement.default_context_configuration()
testContextManagement.custom_context_configuration()
testContextManagement.state_management_and_recovery()
# testHookSystem = TestHookSystem()
# testHookSystem.hook_registration()
# testHookSystem = TestHookSystem()
# testHookSystem.hook_execution()
# testHookSystem = TestHookSystem()
# testHookSystem.task_context_transfer()
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