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Add support to delegate work

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This commit is contained in:
Joao Moura
2023-11-10 18:15:45 -03:00
parent d6989b7959
commit 6ff18128a7
15 changed files with 1786 additions and 1636 deletions
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5
crewai/crew.py
View File

@@ -4,6 +4,7 @@ from pydantic.v1 import BaseModel, Field
from .process import Process
from .agent import Agent
from .task import Task
from .tools.agent_tools import AgentTools
class Crew(BaseModel):
"""
@@ -35,6 +36,10 @@ class Crew(BaseModel):
"""
task_outcome = None
for task in self.tasks:
# Add delegation tools to the task if the agent allows it
if task.agent.allow_delegation:
tools = AgentTools(agents=self.agents).tools()
task.tools += tools
task_outcome = task.execute(task_outcome)
return task_outcome

12
crewai/task.py
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@@ -22,17 +22,21 @@ class Task(BaseModel):
@root_validator(pre=False)
def _set_tools(cls, values):
if values.get('agent'):
values['tools'] = values.get('agent.tools')
if (values.get('agent')) and not (values.get('tools')):
values['tools'] = values.get('agent').tools
return values
def execute(self, context) -> str:
def execute(self, context: str = None) -> str:
"""
Execute the task.
Returns:
output (str): Output of the task.
"""
if self.agent:
return self.agent.execute_task(self.description, context)
return self.agent.execute_task(
task = self.description,
context = context,
tools = self.tools
)
else:
raise Exception(f"The task '{self.description}' has no agent assigned, therefore it can't be executed directly and should be executed in a Crew using a specific process that support that, either consensual or hierarchical.")

57
crewai/tools/agent_tools.py Normal file
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@@ -0,0 +1,57 @@
from typing import List, Any
from pydantic.v1 import BaseModel, Field
from textwrap import dedent
from langchain.tools import Tool
from ..agent import Agent
class AgentTools(BaseModel):
"""Tools for generic agent."""
agents: List[Agent] = Field(description="List of agents in this crew.")
def tools(self):
return [
Tool.from_function(
func=self.delegate_work,
name="Delegate Work to Co-Worker",
description=dedent(f"""Useful to delegate a specific task to one of the
following co-workers: [{', '.join([agent.role for agent in self.agents])}].
The input to this tool should be a pipe (|) separated text of length
three, representing the role you want to delegate it to, the task and
information necessary. For example, `coworker|task|information`.
""")
),
Tool.from_function(
func=self.ask_question,
name="Ask Question to Co-Worker",
description=dedent(f"""Useful to ask a question, opinion or take from on
of the following co-workers: [{', '.join([agent.role for agent in self.agents])}].
The input to this tool should be a pipe (|) separated text of length
three, representing the role you want to ask it to, the question and
information necessary. For example, `coworker|question|information`.
""")
),
]
def delegate_work(self, command):
"""Useful to delegate a specific task to a coworker."""
return self.__execute(command)
def ask_question(self, command):
"""Useful to ask a question, opinion or take from a coworker."""
return self.__execute(command)
def __execute(self, command):
"""Execute the command."""
agent, task, information = command.split("|")
if not agent or not task or not information:
return "Error executing tool."
agent = [available_agent for available_agent in self.agents if available_agent.role == agent]
if len(agent) == 0:
return "Error executing tool."
agent = agent[0]
result = agent.execute_task(task, information)
return result

39
tests/agent_test.py
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@@ -18,7 +18,7 @@ def test_agent_creation():
assert agent.backstory == "test backstory"
assert agent.tools == []
def test_agent_default_value():
def test_agent_default_values():
agent = Agent(
role="test role",
goal="test goal",
@@ -29,6 +29,7 @@ def test_agent_default_value():
assert agent.llm.model_name == "gpt-4"
assert agent.llm.temperature == 0.7
assert agent.llm.verbose == False
assert agent.allow_delegation == True
def test_custom_llm():
agent = Agent(
@@ -50,11 +51,12 @@ def test_agent_execution():
agent = Agent(
role="test role",
goal="test goal",
backstory="test backstory"
backstory="test backstory",
allow_delegation=False
)
output = agent.execute_task("How much is 1 + 1?")
assert output == "1 + 1 equals 2."
assert output == "1 + 1 = 2"
@pytest.mark.vcr()
def test_agent_execution_with_tools():
@@ -73,8 +75,35 @@ def test_agent_execution_with_tools():
role="test role",
goal="test goal",
backstory="test backstory",
tools=[multiplier]
tools=[multiplier],
allow_delegation=False
)
output = agent.execute_task("What is 3 times 4")
assert output == "3 times 4 is 12."
assert output == "3 times 4 is 12"
@pytest.mark.vcr()
def test_agent_execution_with_specific_tools():
from langchain.tools import tool
@tool
def multiplier(numbers) -> float:
"""Useful for when you need to multiply two numbers together.
The input to this tool should be a comma separated list of numbers of
length two, representing the two numbers you want to multiply together.
For example, `1,2` would be the input if you wanted to multiply 1 by 2."""
a, b = numbers.split(',')
return int(a) * int(b)
agent = Agent(
role="test role",
goal="test goal",
backstory="test backstory",
allow_delegation=False
)
output = agent.execute_task(
task="What is 3 times 4",
tools=[multiplier]
)
assert output == "12"

0
tests/agent_tools/__init__.py Normal file
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46
tests/agent_tools/agent_tools_test.py Normal file
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@@ -0,0 +1,46 @@
"""Test Agent creation and execution basic functionality."""
import pytest
from ...crewai import Agent
from ...crewai.tools.agent_tools import AgentTools
researcher = Agent(
role="researcher",
goal="make the best research and analysis on content about AI and AI agents",
backstory="You're an expert researcher, specialized in technology",
allow_delegation=False
)
tools = AgentTools(agents=[researcher])
@pytest.mark.vcr()
def test_delegate_work():
result = tools.delegate_work(
command="researcher|share your take on AI Agents|I heard you hate them"
)
assert result == "As a technology researcher, it's important to maintain objectivity. AI agents have their own merits and demerits. On the positive side, they can automate routine tasks, improve efficiency, and enable new forms of communication and decision-making. However, there are potential downsides, like job displacement due to automation and concerns about privacy and security. It's not accurate to say that I hate them, but rather, I recognize the potential implications - both positive and negative - of their use."
@pytest.mark.vcr()
def test_ask_question():
result = tools.ask_question(
command="researcher|do you hate AI Agents?|I heard you LOVE them"
)
assert result == "As a researcher, my feelings towards AI Agents are neutral. I neither love nor hate them. I study and analyze them objectively to understand their potential, capabilities, and limitations. While I appreciate the technological advancement they represent, my job is to approach them from an analytical and scientific perspective."
def test_delegate_work_to_wrong_agent():
result = tools.ask_question(
command="writer|share your take on AI Agents|I heard you hate them"
)
assert result == "Error executing tool."
def test_ask_question_to_wrong_agent():
result = tools.ask_question(
command="writer|do you hate AI Agents?|I heard you LOVE them"
)
assert result == "Error executing tool."

207
tests/agent_tools/cassettes/test_ask_question.yaml Normal file
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tests/agent_tools/cassettes/test_delegate_work.yaml Normal file
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error, increasing efficiency, and revolutionizing customer experience. The importance
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49
tests/crew_test.py
View File

@@ -8,13 +8,15 @@ def test_crew_creation():
researcher = Agent(
role="Researcher",
goal="Make the best research and analysis on content about AI and AI agents",
backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer."
backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
allow_delegation=False
)
writer = Agent(
role="Senior Content Officer",
role="Senior Writer",
goal="Write the best content about AI and AI agents.",
backstory="You're a senior content officer, specialized in technology, software engineering, AI and startups. You work as a freelancer and are now working on writing content for a new customer."
backstory="You're a senior writer, specialized in technology, software engineering, AI and startups. You work as a freelancer and are now working on writing content for a new customer.",
allow_delegation=False
)
tasks = [
@@ -34,12 +36,43 @@ def test_crew_creation():
tasks=tasks,
)
assert crew.kickoff() == """1. AI in Healthcare: Dive into an exploratory journey where silicon meets stethoscope, unraveling how Artificial Intelligence is revolutionizing the healthcare industry. From early diagnosis of life-threatening diseases to personalized treatment plans, AI is not just an assistant; it's becoming a lifesaver. Imagine a world where technology doesn't just assist doctors but empowers patients, offering them more control over their health and well-being.
assert crew.kickoff() == """1. AI and Ethics: In a world that is increasingly being dominated by Artificial Intelligence, the question of ethics is ever more important. This article will delve into the complex intersection of AI and ethics, exploring how the decisions made by AI can impact society. From privacy concerns to the accountability of AI decisions, this piece will provide readers with a comprehensive understanding of the ethical dilemmas posed by AI.
2. Ethical Implications of AI: Unearth the moral minefield that AI has become in this thought-provoking piece. As AI's capabilities grow, so do the ethical dilemmas. Should machines make life or death decisions? Can an algorithm be biased? Who bears responsibility for AI-induced outcomes? Join us as we navigate these murky waters, balancing the scales of technological advancement and ethical responsibility.
2. The Role of AI in Climate Change: Climate change is the defining issue of our time. This article will examine how AI is playing a pivotal role in combating this global challenge. From predicting climate patterns to optimizing renewable energy use, the piece will highlight how AI is not just a part of the problem, but also a crucial part of the solution.
3. AI in Climate Change: Witness how AI is becoming an indispensable ally in the fight against climate change. From forecasting weather patterns and predicting natural disasters to optimizing energy use and promoting sustainable practices, AI is proving to be a game-changer. Explore how this nascent technology can help us steer towards a more sustainable future.
3. AI in Healthcare: The fusion of AI and healthcare holds a transformative potential. This article will explore how AI is revolutionizing healthcare, from improving diagnosis and treatment to enhancing patient care and hospital management. It will show how AI is not just improving healthcare outcomes but also driving a more efficient and patient-centered healthcare system.
4. AI and Art: Embark on a fascinating exploration of where creativity meets code. Can a machine create a masterpiece? How does AI challenge our traditional notions of art? Delve into the world of AI-generated art, where algorithms are the artists and pixels are the palette, pushing the boundaries of what we consider "art".
4. The Future of AI and Work: The rise of AI has sparked a lively debate on its impact on jobs and the future of work. This article will explore this topic in-depth, examining both the potential job losses and the new opportunities created by AI. It will provide a balanced and insightful analysis of how AI is reshaping the world of work.
5. The Future of AI Agents: Step into the realm of speculation and prediction, where we explore the potential future of AI agents. How will they shape industries, influence our daily lives, and even redefine our understanding of "intelligence"? Engage in a lively discourse around the possibilities and perils that the future of AI agents might hold."""
5. AI in Space Exploration: The final frontier is not beyond the reach of AI. This article will spotlight the role of AI in space exploration, from analyzing vast amounts of astronomical data to autonomous spacecraft navigating the vast expanse of space. The piece will highlight how AI is not just aiding but also accelerating our quest to explore the universe."""
@pytest.mark.vcr()
def test_crew_with_delegating_agents():
ceo = Agent(
role="CEO",
goal="Make sure the writers in your company produce amazing content.",
backstory="You're an long time CEO of a content creation agency with a Senior Writer on the team. You're now working on a new project and want to make sure the content produced is amazing.",
allow_delegation=True
)
writer = Agent(
role="Senior Writer",
goal="Write the best content about AI and AI agents.",
backstory="You're a senior writr, specialized in technology, software engineering, AI and startups. You work as a freelancer and are now working on writing content for a new customer.",
allow_delegation=False
)
tasks = [
Task(
description="Produce and amazing 1 paragraph draft of an article about AI Agents.",
agent=ceo
)
]
crew = Crew(
agents=[ceo, writer],
process=Process.sequential,
tasks=tasks,
)
assert crew.kickoff() == 'The Senior Writer produced an amazing paragraph about AI Agents: "Artificial Intelligence (AI) agents, the cutting-edge technology that is reshaping the digital landscape, are software entities that autonomously perform tasks to achieve specific goals. These agents, programmed to make decisions based on their environment, are the driving force behind a multitude of innovations, from self-driving cars to personalized recommendations in e-commerce. They are pushing boundaries in various sectors, mitigating human error, increasing efficiency, and revolutionizing customer experience. The importance of AI agents is underscored by their ability to adapt and learn, ushering in a new era of technology where machines can mimic, and often surpass, human intelligence. Understanding AI agents is akin to peering into the future, a future where technology is seamless, intuitive, and astoundingly smart."'

57
tests/task_test.py Normal file
View File

@@ -0,0 +1,57 @@
"""Test Agent creation and execution basic functionality."""
import pytest
from ..crewai import Agent, Task
def test_task_tool_reflect_agent_tools():
from langchain.tools import tool
@tool
def fake_tool() -> None:
"Fake tool"
pass
researcher = Agent(
role="Researcher",
goal="Make the best research and analysis on content about AI and AI agents",
backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
tools=[fake_tool],
allow_delegation=False
)
task = Task(
description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
agent=researcher
)
assert task.tools == [fake_tool]
def test_task_tool_takes_precedence_ove_agent_tools():
from langchain.tools import tool
@tool
def fake_tool() -> None:
"Fake tool"
pass
@tool
def fake_task_tool() -> None:
"Fake tool"
pass
researcher = Agent(
role="Researcher",
goal="Make the best research and analysis on content about AI and AI agents",
backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
tools=[fake_tool],
allow_delegation=False
)
task = Task(
description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
agent=researcher,
tools=[fake_task_tool],
allow_delegation=False
)
assert task.tools == [fake_task_tool]