From b0f2804266f10fdd9ec068ea624b4726b2a9b706 Mon Sep 17 00:00:00 2001 From: whimo Date: Wed, 17 Apr 2024 21:16:13 +0400 Subject: [PATCH] Upload project snapshot --- .flake8 | 2 + .gitignore | 88 + .readthedocs.yaml | 31 + Makefile | 18 + README.md | 84 + examples/delegation_crewai.py | 72 + examples/math_crewai.py | 53 + examples/single_crewai.py | 44 + examples/single_llama_index.py | 42 + examples/single_openai_tools_react.py | 51 + motleycrew/__init__.py | 3 + motleycrew/agent/__init__.py | 3 + motleycrew/agent/coordinator.py | 10 + motleycrew/agent/crewai/__init__.py | 2 + motleycrew/agent/crewai/crewai.py | 131 + motleycrew/agent/crewai/crewai_agent.py | 26 + motleycrew/agent/langchain/__init__.py | 4 + motleycrew/agent/langchain/langchain.py | 116 + .../agent/langchain/openai_tools_react.py | 226 ++ motleycrew/agent/langchain/react.py | 36 + motleycrew/agent/llama_index/__init__.py | 2 + motleycrew/agent/llama_index/llama_index.py | 77 + .../agent/llama_index/llama_index_react.py | 41 + motleycrew/agent/parent.py | 16 + motleycrew/agent/shared.py | 108 + motleycrew/common/__init__.py | 6 + motleycrew/common/defaults.py | 8 + motleycrew/common/enums.py | 7 + motleycrew/common/exceptions.py | 33 + motleycrew/common/llms.py | 41 + motleycrew/common/types.py | 3 + motleycrew/common/utils.py | 16 + motleycrew/crew.py | 141 + motleycrew/tasks/__init__.py | 4 + motleycrew/tasks/graph.py | 39 + motleycrew/tasks/task.py | 97 + motleycrew/tool/__init__.py | 1 + motleycrew/tool/llm_tool.py | 52 + motleycrew/tool/python_repl.py | 24 + motleycrew/tool/tool.py | 62 + poetry.lock | 3248 +++++++++++++++++ pyproject.toml | 27 + tests/__init__.py | 0 tests/test_tasks/__init__.py | 0 tests/test_tasks/test_graph.py | 32 + tests/test_tasks/test_task.py | 110 + tests/test_tools/__init__.py | 0 tests/test_tools/test_repl_tool.py | 10 + tests/test_tools/test_tool.py | 72 + 49 files changed, 5319 insertions(+) create mode 100644 .flake8 create mode 100644 .gitignore create mode 100644 .readthedocs.yaml create mode 100644 Makefile create mode 100644 README.md create mode 100644 examples/delegation_crewai.py create mode 100644 examples/math_crewai.py create mode 100644 examples/single_crewai.py create mode 100644 examples/single_llama_index.py create mode 100644 examples/single_openai_tools_react.py create mode 100644 motleycrew/__init__.py create mode 100644 motleycrew/agent/__init__.py create mode 100644 motleycrew/agent/coordinator.py create mode 100644 motleycrew/agent/crewai/__init__.py create mode 100644 motleycrew/agent/crewai/crewai.py create mode 100644 motleycrew/agent/crewai/crewai_agent.py create mode 100644 motleycrew/agent/langchain/__init__.py create mode 100644 motleycrew/agent/langchain/langchain.py create mode 100644 motleycrew/agent/langchain/openai_tools_react.py create mode 100644 motleycrew/agent/langchain/react.py create mode 100644 motleycrew/agent/llama_index/__init__.py create mode 100644 motleycrew/agent/llama_index/llama_index.py create mode 100644 motleycrew/agent/llama_index/llama_index_react.py create mode 100644 motleycrew/agent/parent.py create mode 100644 motleycrew/agent/shared.py create mode 100644 motleycrew/common/__init__.py create mode 100644 motleycrew/common/defaults.py create mode 100644 motleycrew/common/enums.py create mode 100644 motleycrew/common/exceptions.py create mode 100644 motleycrew/common/llms.py create mode 100644 motleycrew/common/types.py create mode 100644 motleycrew/common/utils.py create mode 100644 motleycrew/crew.py create mode 100644 motleycrew/tasks/__init__.py create mode 100644 motleycrew/tasks/graph.py create mode 100644 motleycrew/tasks/task.py create mode 100644 motleycrew/tool/__init__.py create mode 100644 motleycrew/tool/llm_tool.py create mode 100644 motleycrew/tool/python_repl.py create mode 100644 motleycrew/tool/tool.py create mode 100644 poetry.lock create mode 100644 pyproject.toml create mode 100644 tests/__init__.py create mode 100644 tests/test_tasks/__init__.py create mode 100644 tests/test_tasks/test_graph.py create mode 100644 tests/test_tasks/test_task.py create mode 100644 tests/test_tools/__init__.py create mode 100644 tests/test_tools/test_repl_tool.py create mode 100644 tests/test_tools/test_tool.py diff --git a/.flake8 b/.flake8 new file mode 100644 index 00000000..e14b7619 --- /dev/null +++ b/.flake8 @@ -0,0 +1,2 @@ +[flake8] +max-line-length=88 diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..4759ae9b --- /dev/null +++ b/.gitignore @@ -0,0 +1,88 @@ +# Editors +.vscode/ +.idea/ + +# Vagrant +.vagrant/ + +# Mac/OSX +.DS_Store + +# Windows +Thumbs.db + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +.hypothesis/ +.pytest_cache/ + +# Translations +*.mo +*.pot + +# IPython +profile_default/ +ipython_config.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ +.python-version + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json +*.pyc + +scripts/ diff --git a/.readthedocs.yaml b/.readthedocs.yaml new file mode 100644 index 00000000..7970726e --- /dev/null +++ b/.readthedocs.yaml @@ -0,0 +1,31 @@ +# Read the Docs configuration file +# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details + +# Required +version: 2 + +# Set the OS, Python version and other tools you might need +build: + os: ubuntu-22.04 + tools: + python: "3.12" + # You can also specify other tool versions: + # nodejs: "19" + # rust: "1.64" + # golang: "1.19" + +# Build documentation in the "docs/" directory with Sphinx +sphinx: + configuration: docs/conf.py + +# Optionally build your docs in additional formats such as PDF and ePub +# formats: +# - pdf +# - epub + +# Optional but recommended, declare the Python requirements required +# to build your documentation +# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html +# python: +# install: +# - requirements: docs/requirements.txt diff --git a/Makefile b/Makefile new file mode 100644 index 00000000..01f502a0 --- /dev/null +++ b/Makefile @@ -0,0 +1,18 @@ +.PHONY: all +all: clean cov build + +.PHONY: clean +clean: + rm -rf dist/ + +.PHONY: test +test: + poetry run pytest + +.PHONY: cov +cov: + poetry run pytest --cov --cov-report=term-missing + +.PHONY: build +build: + poetry build diff --git a/README.md b/README.md new file mode 100644 index 00000000..77477601 --- /dev/null +++ b/README.md @@ -0,0 +1,84 @@ +# motleycrew +A lightweight agent interaction framework. + +Minimal example with maximum automation (might take a while to build ;) ): + +```python +from motleycrew import Task, MotleyCrew + +task = Task("""Research arxiv on the latest trends in machine learning +and produce an engaging blog post on the topic""", + documents=["paper1.pdf", "paper2.pdf"]) +crew = MotleyCrew(tasks=[task]) +crew.run() +``` +Come to think of it, might it make sense to make it 2 libraries, one with the interaction +primitives, and the other on top of it with the automation? + +Here the MotleyCrew auto-spawns agents to complete the task, and picks additional tools for them. + +Short term, more crewAI-style (here some is copy-pasted from crewAI, +will need to edit before going public) +```python +from langchain import hub +from langchain_community.tools import DuckDuckGoSearchRun +from langchain_openai import ChatOpenAI +from langchain.agents import AgentExecutor, create_openai_tools_agent + +from motley_crew import Task, MotleyCrew +from motley_crew.agents import LangchainAgent, MotleyAgent + +tools=[DuckDuckGoSearchRun()] +researcher_prompt = hub.pull("hwchase17/openai-tools-agent") +llm = ChatOpenAI(model="gpt-4-0125-preview", temperature=0) + +researcher_agent = AgentExecutor( + agent=create_openai_tools_agent(llm, tools, researcher_prompt), + tools=tools, + verbose=True, +) + +researcher = LangchainAgent( + agent=researcher_agent, + goal="Research the web and any documents they are given, and summarize the results", + allow_delegation=False +) + +writer = MotleyAgent( + goal="Craft compelling content on tech advancements", + description="""You are a renowned Content Strategist, known for your insightful and engaging articles. + You transform complex concepts into compelling narratives.""", + verbose=True, + kind = "crewai", + delegation=True, +) + +# Create tasks for your agents +task1 = Task( + description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. + Identify key trends, breakthrough technologies, and potential industry impacts. + Your final answer MUST be a full analysis report""", + agent=researcher, + documents = ["paper1.pdf", "paper2.pdf"], +) + +task2 = Task( + description="""Using the insights provided, develop an engaging blog + post that highlights the most significant AI advancements. + Your post should be informative yet accessible, catering to a tech-savvy audience. + Make it sound cool, avoid complex words so it doesn't sound like AI. + Your final answer MUST be the full blog post of at least 4 paragraphs. + """, + agent=writer, + depends_on=task1, +) + +# Instantiate your crew with a sequential process +crew = MotleyCrew( + agents=[researcher, writer], + tasks=[task1, task2], + verbose=2, # You can set it to 1 or 2 to different logging levels +) + +# Get your crew to work! +result = crew.run() diff --git a/examples/delegation_crewai.py b/examples/delegation_crewai.py new file mode 100644 index 00000000..994ebdb5 --- /dev/null +++ b/examples/delegation_crewai.py @@ -0,0 +1,72 @@ +from dotenv import load_dotenv +from langchain_community.tools import DuckDuckGoSearchRun + +from motleycrew import MotleyCrew, Task +from motleycrew.agent.crewai import CrewAIMotleyAgent + +load_dotenv() + +search_tool = DuckDuckGoSearchRun() + +researcher = CrewAIMotleyAgent( + role="Senior Research Analyst", + goal="Uncover cutting-edge developments in AI and data science", + backstory="""You work at a leading tech think tank. +Your expertise lies in identifying emerging trends. +You have a knack for dissecting complex data and presenting actionable insights.""", + verbose=True, + delegation=False, + tools=[search_tool], +) + +writer = CrewAIMotleyAgent( + role="Tech Content Strategist", + goal="Craft compelling content on tech advancements", + backstory="""You are a renowned Content Strategist, known for your insightful and engaging articles. +You transform complex concepts into compelling narratives.""", + verbose=True, + delegation=True, +) + +# Create tasks for your agents +crew = MotleyCrew() +task1 = Task( + crew=crew, + name="produce comprehensive analysis report on AI advancements", + description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. +Identify key trends, breakthrough technologies, and potential industry impacts. +Your final answer MUST be a full analysis report""", + agent=researcher, + documents=["paper1.pdf", "paper2.pdf"], # will be ignored for now +) + +task2 = Task( + crew=crew, + name="provide a literature summary of recent papers on AI", + description="""Conduct a comprehensive literature review of the latest advancements in AI in 2024. +Identify key papers, researchers, and companies in the space. +Your final answer MUST be a full literature review with citations""", + agent=researcher, +) + + +task3 = Task( + crew=crew, + name="produce blog post on AI advancements", + description="""Using the insights provided by a thorough web search, develop an engaging blog +post that highlights the most significant AI advancements. +Your post should be informative yet accessible, catering to a tech-savvy audience. +Make it sound cool, avoid complex words so it doesn't sound like AI. +Create a blog post of at least 4 paragraphs.""", + agent=writer, +) + +[task1, task2] >> task3 + +# Get your crew to work! +result = crew.run( + agents=[researcher, writer], + verbose=2, # You can set it to 1 or 2 to different logging levels +) + +print(list(result._done)[0].outputs) diff --git a/examples/math_crewai.py b/examples/math_crewai.py new file mode 100644 index 00000000..8eb073e3 --- /dev/null +++ b/examples/math_crewai.py @@ -0,0 +1,53 @@ +from dotenv import load_dotenv + +from motleycrew import MotleyCrew, Task +from motleycrew.agent.crewai import CrewAIMotleyAgent +from motleycrew.tool.python_repl import create_repl_tool + +load_dotenv() + +repl_tool = create_repl_tool() + +# Define your agents with roles and goals +solver1 = CrewAIMotleyAgent( + role="High School Math Teacher", + goal="Generate great solutions to math problems", + backstory="""You are a high school math teacher with a passion for problem-solving. +To solve a math problem, you first reason about it, step by step, then generate the code to solve it exactly, +using sympy, then use the REPL tool to evaluate that code, and then +use the output to generate a human-readable solution.""", + verbose=True, + delegation=False, + tools=[repl_tool], +) + +solver = solver1 + +problems = [ + "Problem: If $725x + 727y = 1500$ and $729x+ 731y = 1508$, what are the values of $x$, $y$, and $x - y$ ?", + "Drei Personen erhalten zusammen Fr. 2450. Die erste Person erh\u00e4lt Fr. 70 mehr als die zweite, aber Fr. 60 weniger als die dritte.\nWie viel erh\u00e4lt jede Person? ", + "Find all numbers $a$ for which the graph of $y=x^2+a$ and the graph of $y=ax$ intersect. Express your answer in interval notation.", +] + +# Create tasks for your agents +crew = MotleyCrew() +task1 = Task( + crew=crew, + name="solve math problem", + description=f"""Create a nice human-readable solution to the following problem: + {problems[1]} + IN THE SAME LANGUAGE AS THE PROBLEM""", + agent=solver, +) + + +# Instantiate your crew with a sequential process +result = crew.run( + agents=[solver], + verbose=True, # You can set it to 1 or 2 to different logging levels +) + +# Get your crew to work! +print(list(result._done)[0].outputs) + +print("######################") diff --git a/examples/single_crewai.py b/examples/single_crewai.py new file mode 100644 index 00000000..75a5e6a3 --- /dev/null +++ b/examples/single_crewai.py @@ -0,0 +1,44 @@ +from dotenv import load_dotenv +from langchain_community.tools import DuckDuckGoSearchRun + +from motleycrew import MotleyCrew, Task +from motleycrew.agent.crewai import CrewAIMotleyAgent + +load_dotenv() + +search_tool = DuckDuckGoSearchRun() + +researcher = CrewAIMotleyAgent( + role="Senior Research Analyst", + goal="Uncover cutting-edge developments in AI and data science", + backstory="""You work at a leading tech think tank. +Your expertise lies in identifying emerging trends. +You have a knack for dissecting complex data and presenting actionable insights.""", + verbose=True, + delegation=False, + tools=[search_tool], +) + + +# Create tasks for your agents +crew = MotleyCrew() +task1 = Task( + crew=crew, + name="produce comprehensive analysis report on AI advancements", + description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. + Identify key trends, breakthrough technologies, and potential industry impacts. + Your final answer MUST be a full analysis report""", + agent=researcher, + documents=["paper1.pdf", "paper2.pdf"], +) + +# Instantiate your crew with a sequential process +result = crew.run( + agents=[researcher], + verbose=2, # You can set it to 1 or 2 to different logging levels +) + +# Get your crew to work! +print(list(result._done)[0].outputs) + +print("######################") diff --git a/examples/single_llama_index.py b/examples/single_llama_index.py new file mode 100644 index 00000000..bc003b36 --- /dev/null +++ b/examples/single_llama_index.py @@ -0,0 +1,42 @@ +from dotenv import load_dotenv +from langchain_community.tools import DuckDuckGoSearchRun + + +from motleycrew import MotleyCrew, Task +from motleycrew.agent.llama_index import ReActLlamaIndexMotleyAgent + +load_dotenv() + +search_tool = DuckDuckGoSearchRun() + +# TODO: add LlamaIndex native tools +researcher = ReActLlamaIndexMotleyAgent( + goal="Uncover cutting-edge developments in AI and data science", + tools=[search_tool], + verbose=True, +) + + +crew = MotleyCrew() + +# Create tasks for your agents +task1 = Task( + crew=crew, + name="produce comprehensive analysis report on AI advancements", + description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. + Identify key trends, breakthrough technologies, and potential industry impacts. + Your final answer MUST be a full analysis report""", + agent=researcher, + documents=["paper1.pdf", "paper2.pdf"], +) + +# Instantiate your crew with a sequential process +result = crew.run( + agents=[researcher], + verbose=2, # You can set it to 1 or 2 to different logging levels +) + +# Get your crew to work! +print(list(result._done)[0].outputs) + +print("######################") diff --git a/examples/single_openai_tools_react.py b/examples/single_openai_tools_react.py new file mode 100644 index 00000000..7b2cac40 --- /dev/null +++ b/examples/single_openai_tools_react.py @@ -0,0 +1,51 @@ +from dotenv import load_dotenv +from langchain_community.tools import DuckDuckGoSearchRun + +from motleycrew import MotleyCrew, Task, MotleyTool +from motleycrew.agent.langchain.openai_tools_react import ReactOpenAIToolsAgent +from motleycrew.agent.langchain.react import ReactMotleyAgent + +# # You can delete this block if you don't want to use Langsmith +# from langsmith import Client +# +# unique_id = uuid4().hex[0:8] +# os.environ["LANGCHAIN_TRACING_V2"] = "true" +# os.environ["LANGCHAIN_PROJECT"] = f"Tracing Walkthrough - {unique_id}" +# os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com" +# os.environ["LANGCHAIN_API_KEY"] = credentials["LANGCHAIN_API_KEY"] +# +# client = Client() +# # End of Langsmith block + +load_dotenv() + +search_tool = DuckDuckGoSearchRun() + + +tools = [search_tool] + + +researcher = ReactOpenAIToolsAgent(tools=tools, verbose=True) +researcher2 = ReactMotleyAgent(tools=tools, verbose=True) + +for r in [researcher, researcher2]: + + crew = MotleyCrew() + task1 = Task( + crew=crew, + name="produce comprehensive analysis report on AI advancements", + description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. + Identify key trends, breakthrough technologies, and potential industry impacts. + Your final answer MUST be a full analysis report""", + agent=r, + documents=["paper1.pdf", "paper2.pdf"], # will be ignored for now + ) + result = crew.run( + agents=[r], + verbose=2, # You can set it to 1 or 2 to different logging levels + ) + + # Get your crew to work! + print(list(result._done)[0].outputs) + +print("######################") diff --git a/motleycrew/__init__.py b/motleycrew/__init__.py new file mode 100644 index 00000000..e22635cc --- /dev/null +++ b/motleycrew/__init__.py @@ -0,0 +1,3 @@ +from .crew import MotleyCrew +from .tasks import Task, TaskGraph +from .tool import MotleyTool diff --git a/motleycrew/agent/__init__.py b/motleycrew/agent/__init__.py new file mode 100644 index 00000000..fe87eb45 --- /dev/null +++ b/motleycrew/agent/__init__.py @@ -0,0 +1,3 @@ +from .langchain import LangchainMotleyAgentParent +from .crewai import CrewAIMotleyAgentParent +from .llama_index import LlamaIndexMotleyAgentParent diff --git a/motleycrew/agent/coordinator.py b/motleycrew/agent/coordinator.py new file mode 100644 index 00000000..237325b7 --- /dev/null +++ b/motleycrew/agent/coordinator.py @@ -0,0 +1,10 @@ +from abc import ABC, abstractmethod +from typing import Sequence + +from motleycrew.task import Task + + +class TaskCoordinator(ABC): + @abstractmethod + def order(self, tasks: Sequence[Task]) -> Sequence[Task]: + pass diff --git a/motleycrew/agent/crewai/__init__.py b/motleycrew/agent/crewai/__init__.py new file mode 100644 index 00000000..d4086743 --- /dev/null +++ b/motleycrew/agent/crewai/__init__.py @@ -0,0 +1,2 @@ +from .crewai import CrewAIMotleyAgentParent +from .crewai_agent import CrewAIMotleyAgent diff --git a/motleycrew/agent/crewai/crewai.py b/motleycrew/agent/crewai/crewai.py new file mode 100644 index 00000000..b6c5db21 --- /dev/null +++ b/motleycrew/agent/crewai/crewai.py @@ -0,0 +1,131 @@ +import logging +from typing import Any, Optional, Sequence, Callable + +from crewai import Agent +from langchain_core.runnables import RunnableConfig + +from motleycrew.agent.parent import MotleyAgentAbstractParent +from motleycrew.agent.shared import MotleyAgentParent +from motleycrew.tasks import Task, TaskGraph +from motleycrew.tool import MotleyTool +from motleycrew.common import MotleySupportedTool +from motleycrew.common.utils import to_str +from motleycrew.common import LLMFramework +from motleycrew.common.llms import init_llm + + +class CrewAIMotleyAgentParent(MotleyAgentParent): + def __init__( + self, + goal: str, + name: str | None = None, + agent_factory: Callable[[dict[str, MotleyTool]], Agent] | None = None, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + verbose: bool = False, + ): + super().__init__( + goal=goal, + name=name, + agent_factory=agent_factory, + delegation=delegation, + tools=tools, + verbose=verbose, + ) + + def invoke( + self, + task: Task | str, + config: Optional[RunnableConfig] = None, + **kwargs: Any, + ) -> Any: + self.materialize() + + if isinstance(task, str): + # TODO: feed in context/task.message_history correctly + # TODO: attach the current task, if any, as a dependency of the new task + # TODO: this preamble should really be a decorator to be shared across agent wrappers + task = Task( + description=task, + name=task, + agent=self, + # TODO inject the new subtask as a dep and reschedule the parent + # TODO probably can't do this from here since we won't know if + # there are other tasks to schedule + task_graph=TaskGraph(), + ) + elif not isinstance(task, Task): + # TODO: should really have a conversion function here from langchain tools to crewai tools + raise ValueError(f"`task` must be a string or a Task, not {type(task)}") + + langchain_tools = [tool.to_langchain_tool() for tool in self.tools.values()] + out = self.agent.execute_task( + task, to_str(task.message_history), tools=langchain_tools + ) + task.outputs = [out] + # TODO: extract message history from agent, attach it to the task + return task + + # TODO: what do these do? + def set_cache_handler(self, cache_handler: Any) -> None: + return self.agent.set_cache_handler(cache_handler) + + def set_rpm_controller(self, rpm_controller: Any) -> None: + return self.agent.set_rpm_controller(rpm_controller) + + @staticmethod + def from_crewai_params( + role: str, + goal: str, + backstory: str, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + llm: Optional[Any] = None, + verbose: bool = False, + ): + if tools is None: + tools = [] + + if llm is None: + # CrewAI uses Langchain LLMs by default + llm = init_llm(llm_framework=LLMFramework.LANGCHAIN) + + def agent_factory(tools: dict[str, MotleyTool]): + langchain_tools = [t.to_langchain_tool() for t in tools.values()] + agent = Agent( + role=role, + goal=goal, + backstory=backstory, + verbose=verbose, + allow_delegation=False, # Delegation handled by MotleyAgentParent + tools=langchain_tools, + llm=llm, + ) + return agent + + return CrewAIMotleyAgentParent( + goal=goal, + name=role, + agent_factory=agent_factory, + delegation=delegation, + tools=tools, + verbose=verbose, + ) + + @staticmethod + def from_agent( + agent: Agent, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + verbose: bool = False, + ): + tools += agent.tools + wrapped_agent = CrewAIMotleyAgentParent( + goal=agent.goal, + name=agent.role, + delegation=delegation, + tools=tools, + verbose=verbose, + ) + wrapped_agent._agent = agent + return wrapped_agent diff --git a/motleycrew/agent/crewai/crewai_agent.py b/motleycrew/agent/crewai/crewai_agent.py new file mode 100644 index 00000000..976cacf5 --- /dev/null +++ b/motleycrew/agent/crewai/crewai_agent.py @@ -0,0 +1,26 @@ +from typing import Optional, Any, Sequence + +from motleycrew.common import MotleySupportedTool +from motleycrew.agent.parent import MotleyAgentAbstractParent +from motleycrew.agent.crewai import CrewAIMotleyAgentParent + + +class CrewAIMotleyAgent(CrewAIMotleyAgentParent): + def __new__( + cls, + role: str, + goal: str, + backstory: str, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + llm: Optional[Any] = None, + verbose: bool = False,) -> "CrewAIMotleyAgent": + return cls.from_crewai_params( + role=role, + goal=goal, + backstory=backstory, + delegation=delegation, + tools=tools, + llm=llm, + verbose=verbose, + ) diff --git a/motleycrew/agent/langchain/__init__.py b/motleycrew/agent/langchain/__init__.py new file mode 100644 index 00000000..4bd7480d --- /dev/null +++ b/motleycrew/agent/langchain/__init__.py @@ -0,0 +1,4 @@ +from .langchain import LangchainMotleyAgentParent + +from .react import ReactMotleyAgent +from .openai_tools_react import OpenAIToolsAgentOutputParser diff --git a/motleycrew/agent/langchain/langchain.py b/motleycrew/agent/langchain/langchain.py new file mode 100644 index 00000000..d6f9b92c --- /dev/null +++ b/motleycrew/agent/langchain/langchain.py @@ -0,0 +1,116 @@ +from typing import Any, Optional, Sequence, Callable + +from langchain.agents import AgentExecutor +from langchain_core.runnables import RunnableConfig +from langchain_core.language_models import BaseLanguageModel +from langchain_core.prompts.chat import ChatPromptTemplate + +from motleycrew.agent.shared import MotleyAgentParent +from motleycrew.tasks import Task + +from motleycrew.tool import MotleyTool +from motleycrew.common import MotleySupportedTool +from motleycrew.common import LLMFramework +from motleycrew.common.llms import init_llm + + +class LangchainMotleyAgentParent(MotleyAgentParent): + def __init__( + self, + goal: str, + name: str | None = None, + agent_factory: Callable[[dict[str, MotleyTool]], AgentExecutor] | None = None, + delegation: bool | Sequence[MotleyAgentParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + verbose: bool = False, + ): + super().__init__( + goal=goal, + name=name, + agent_factory=agent_factory, + delegation=delegation, + tools=tools, + verbose=verbose + ) + + def invoke( + self, + task: Task | str, + config: Optional[RunnableConfig] = None, + **kwargs: Any, + ) -> Task: + self.materialize() + + if isinstance(task, str): + # TODO: feed in context/task.message_history correctly + # TODO: attach the current task, if any, as a dependency of the new task + new_task = Task(description=task, name=task, agent=self) + return new_task.invoke() + elif isinstance(task, Task): + # TODO: feed in context/task.message_history correctly + # TODO: extract the message history from the agent and attach it to the task + out = self.agent.invoke({"input": task.description}, config, **kwargs) + task.outputs = [out["output"]] + return task + else: + raise ValueError(f"`task` must be a string or a Task, not {type(task)}") + + @staticmethod + def from_function( + function: Callable[..., Any], + goal: str, + llm: BaseLanguageModel | None = None, + delegation: bool | Sequence[MotleyAgentParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + prompt: ChatPromptTemplate | Sequence[ChatPromptTemplate] | None = None, + require_tools: bool = False, + verbose: bool = False, + ) -> "LangchainMotleyAgentParent": + if llm is None: + llm = init_llm(llm_framework=LLMFramework.LANGCHAIN) + + if require_tools and not len(tools): + raise ValueError( + "You must provide at least one tool to the ReactMotleyAgent" + ) + + def agent_factory(tools: dict[str, MotleyTool]): + langchain_tools = [t.to_langchain_tool() for t in tools.values()] + # TODO: feed goal into the agent's prompt + agent = function(llm=llm, tools=langchain_tools, prompt=prompt) + agent_executor = AgentExecutor( + agent=agent, + tools=langchain_tools, + verbose=verbose, + ) + return agent_executor + + return LangchainMotleyAgentParent( + goal=goal, + agent_factory=agent_factory, + delegation=delegation, + tools=tools, + verbose=verbose, + ) + + @staticmethod + def from_agent( + agent: AgentExecutor, + goal: str, + delegation: bool | Sequence[MotleyAgentParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + verbose: bool = False + ): + # TODO: do we really need to unite the tools implicitly like this? + # TODO: confused users might pass tools both ways at the same time + # TODO: and we will silently unite them, which can have side effects (e.g. doubled tools) + # TODO: besides, getting tools can be tricky for other frameworks (e.g. LlamaIndex) + tools += agent.tools + wrapped_agent = LangchainMotleyAgentParent( + goal=goal, + delegation=delegation, + tools=tools, + verbose=verbose + ) + wrapped_agent._agent = agent + return wrapped_agent diff --git a/motleycrew/agent/langchain/openai_tools_react.py b/motleycrew/agent/langchain/openai_tools_react.py new file mode 100644 index 00000000..2bfe4e31 --- /dev/null +++ b/motleycrew/agent/langchain/openai_tools_react.py @@ -0,0 +1,226 @@ +from typing import Sequence, List, Union + +from langchain_core.messages import BaseMessage +from langchain_core.language_models import BaseLanguageModel +from langchain_core.prompts.chat import ChatPromptTemplate +from langchain_core.runnables import Runnable, RunnablePassthrough, RunnableLambda +from langchain_core.tools import BaseTool +from langchain_core.utils.function_calling import convert_to_openai_tool +from langchain.tools.render import render_text_description +from langchain_core.agents import AgentFinish, AgentActionMessageLog + +from langchain.agents.format_scratchpad.openai_tools import format_to_openai_tool_messages +from langchain.agents.output_parsers.openai_tools import OpenAIToolsAgentOutputParser + +from motleycrew.agent.parent import MotleyAgentAbstractParent +from motleycrew.agent.langchain.langchain import LangchainMotleyAgentParent +from motleycrew.common import MotleySupportedTool + + +default_think_prompt = ChatPromptTemplate.from_template( + """ +Answer the following questions as best you can; think carefully, one step at a time, and outline the next step +towards answering the question. + +You will later have access to the following tools: +{tools} + +Your reply must begin with "Thought:" and then +describe what the next step should be, given the information so far - either to use one of the tools from +the above list (and details on how to use it), or give the final answer like described below. ] +Do NOT return a tool call, just a thought about what +it should be. +If the information so far is not sufficient to answer the question precisely and completely +(rather than sloppily and approximately), don't hesitate to +request to use tools again, until sufficient information is gathered. Don't stop this until +you are certain that you have enough information to answer the question. + +If you have sufficient information to answer the question, your reply must look like +``` +Thought: I now know the final answer +Final Answer: [the final answer to the original input question] +``` +but without the backticks. + +Begin! + +Question: {input} +Thought: {agent_scratchpad} +""" +) + + +default_act_prompt = ChatPromptTemplate.from_template( + """ +Your objective is to contribute to answering the below question, by using the tools at your disposal. + +You have access to the following tools: +{tools} + +Your response MUST be a tool call to one of these unless the last input +message contains the words "Final Answer"; if it does, just repeat it. + + +Question: {input} +Thought:{agent_scratchpad} +""" +) + + +def print_passthrough(x): + return x + + +def add_thought_to_background(x: dict): + out = x["background"] + out["agent_scratchpad"] += [x["thought"]] + return out + + +def check_variables(prompt: ChatPromptTemplate): + missing_vars = {"agent_scratchpad"}.difference(prompt.input_variables) + if missing_vars: + raise ValueError(f"Prompt missing required variables: {missing_vars}") + + +def create_openai_tools_react_agent( + llm: BaseLanguageModel, + tools: Sequence[BaseTool], + prompt: Union[ChatPromptTemplate, Sequence[ChatPromptTemplate]] | None = None, +) -> Runnable: + """Create an agent that uses OpenAI tools. + #TODO: this docstring is out of date, need to update it + + Args: + llm: LLM to use as the agent. + tools: Tools this agent has access to. + prompt: The prompt to use. See Prompt section below for more on the expected + input variables. + + Returns: + A Runnable sequence representing an agent. It takes as input all the same input + variables as the prompt passed in does. It returns as output either an + AgentAction or AgentFinish. + + Example: + + .. code-block:: python + + from langchain import hub + from langchain_community.chat_models import ChatOpenAI + from langchain.agents import AgentExecutor, create_openai_tools_agent + + prompt = hub.pull("hwchase17/openai-tools-agent") + model = ChatOpenAI() + tools = ... + + agent = create_openai_tools_agent(model, tools, prompt) + agent_executor = AgentExecutor(agent=agent, tools=tools) + + agent_executor.invoke({"input": "hi"}) + + # Using with chat history + from langchain_core.messages import AIMessage, HumanMessage + agent_executor.invoke( + { + "input": "what's my name?", + "chat_history": [ + HumanMessage(content="hi! my name is bob"), + AIMessage(content="Hello Bob! How can I assist you today?"), + ], + } + ) + + Prompt: + + The agent prompt must have an `agent_scratchpad` key that is a + ``MessagesPlaceholder``. Intermediate agent actions and tool output + messages will be passed in here. + + Here's an example: + + .. code-block:: python + + from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder + + prompt = ChatPromptTemplate.from_messages( + [ + ("system", "You are a helpful assistant"), + MessagesPlaceholder("chat_history", optional=True), + ("human", "{input}"), + MessagesPlaceholder("agent_scratchpad"), + ] + ) + """ + if prompt is None: + + think_prompt = default_think_prompt + act_prompt = default_act_prompt + else: + think_prompt = prompt[0] + act_prompt = prompt[1] + + think_prompt = think_prompt.partial(tools=render_text_description(list(tools))) + act_prompt = act_prompt.partial(tools=render_text_description(list(tools))) + + check_variables(think_prompt) + check_variables(act_prompt) + + llm_with_tools = llm.bind(tools=[convert_to_openai_tool(tool) for tool in tools]) + + second_llm_call = ( + RunnableLambda(add_thought_to_background) + | RunnableLambda(print_passthrough) + | act_prompt + | RunnableLambda(print_passthrough) + | llm_with_tools + | RunnableLambda(print_passthrough) + | OpenAIToolsAgentOutputParser() + ) + + agent = ( + RunnableLambda(print_passthrough) + | RunnablePassthrough.assign( + agent_scratchpad=lambda x: format_to_openai_tool_messages( + x["intermediate_steps"] + ) + ) + | {"thought": think_prompt | llm, "background": RunnablePassthrough()} + | RunnableLambda(print_passthrough) + | {"action": second_llm_call, "thought": RunnableLambda(lambda x: x["thought"])} + | RunnableLambda(print_passthrough) + | RunnableLambda(lambda x: add_messages_to_action(x["action"], [x["thought"]])) + | RunnableLambda(print_passthrough) + ) + return agent + + +def add_messages_to_action( + actions: List[AgentActionMessageLog] | AgentFinish, messages: List[BaseMessage] +) -> List[AgentActionMessageLog] | AgentFinish: + if not isinstance(actions, AgentFinish): + for action in actions: + action.message_log = messages + list(action.message_log) + return actions + + +class ReactOpenAIToolsAgent(LangchainMotleyAgentParent): + def __new__( + cls, + tools: Sequence[MotleySupportedTool], + goal: str = "", # gets ignored at the moment + prompt: str | None = None, + llm: BaseLanguageModel | None = None, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + verbose: bool = False, + ): + return cls.from_function( + goal=goal, + llm=llm, + delegation=delegation, + tools=tools, + prompt=prompt, + function=create_openai_tools_react_agent, + require_tools=True, + verbose=verbose, + ) diff --git a/motleycrew/agent/langchain/react.py b/motleycrew/agent/langchain/react.py new file mode 100644 index 00000000..f43f07f4 --- /dev/null +++ b/motleycrew/agent/langchain/react.py @@ -0,0 +1,36 @@ +from typing import Sequence + + +from langchain import hub +from langchain_core.language_models import BaseLanguageModel +from langchain.agents import create_react_agent + + +from motleycrew.agent.parent import MotleyAgentAbstractParent +from motleycrew.agent.langchain.langchain import LangchainMotleyAgentParent +from motleycrew.common import MotleySupportedTool + + +class ReactMotleyAgent(LangchainMotleyAgentParent): + def __new__( + cls, + tools: Sequence[MotleySupportedTool], + goal: str = "", # gets ignored at the moment + prompt: str | None = None, + llm: BaseLanguageModel | None = None, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + verbose: bool = False, + ): + if prompt is None: + # TODO: feed goal into the agent's prompt + prompt = hub.pull("hwchase17/react") + return cls.from_function( + goal=goal, + llm=llm, + delegation=delegation, + tools=tools, + prompt=prompt, + function=create_react_agent, + require_tools=True, + verbose=verbose, + ) diff --git a/motleycrew/agent/llama_index/__init__.py b/motleycrew/agent/llama_index/__init__.py new file mode 100644 index 00000000..79a5f2da --- /dev/null +++ b/motleycrew/agent/llama_index/__init__.py @@ -0,0 +1,2 @@ +from .llama_index import LlamaIndexMotleyAgentParent +from .llama_index_react import ReActLlamaIndexMotleyAgent diff --git a/motleycrew/agent/llama_index/llama_index.py b/motleycrew/agent/llama_index/llama_index.py new file mode 100644 index 00000000..cd66ea54 --- /dev/null +++ b/motleycrew/agent/llama_index/llama_index.py @@ -0,0 +1,77 @@ +from typing import Any, Optional, Sequence, Callable + +from llama_index.core.agent import AgentRunner +from langchain_core.runnables import RunnableConfig + +from motleycrew.agent.parent import MotleyAgentAbstractParent +from motleycrew.agent.shared import MotleyAgentParent +from motleycrew.tasks import Task, TaskGraph +from motleycrew.tool import MotleyTool +from motleycrew.common import MotleySupportedTool + + +class LlamaIndexMotleyAgentParent(MotleyAgentParent): + def __init__( + self, + goal: str, + name: str | None = None, + agent_factory: Callable[[dict[str, MotleyTool]], AgentRunner] | None = None, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + verbose: bool = False + ): + super().__init__( + goal=goal, + name=name, + agent_factory=agent_factory, + delegation=delegation, + tools=tools, + verbose=verbose + ) + + def invoke( + self, + task: Task | str, + config: Optional[RunnableConfig] = None, + **kwargs: Any, + ) -> Any: + self.materialize() + + if isinstance(task, str): + # TODO: feed in context/task.message_history correctly + # TODO: attach the current task, if any, as a dependency of the new task + # TODO: this preamble should really be a decorator to be shared across agent wrappers + task = Task( + description=task, + name=task, + agent=self, + # TODO inject the new subtask as a dep and reschedule the parent + # TODO probably can't do this from here since we won't know if + # there are other tasks to schedule + task_graph=TaskGraph(), + ) + elif not isinstance(task, Task): + # TODO: should really have a conversion function here from langchain tools to crewai tools + raise ValueError(f"`task` must be a string or a Task, not {type(task)}") + + out = self.agent.chat(task.description) + task.outputs = [out] + # TODO: extract message history from agent, attach it to the task + return task + + @staticmethod + def from_agent( + agent: AgentRunner, + goal: str, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + verbose: bool = False, + ): + wrapped_agent = LlamaIndexMotleyAgentParent( + goal=goal, + delegation=delegation, + tools=tools, + verbose=verbose + ) + wrapped_agent._agent = agent + return wrapped_agent diff --git a/motleycrew/agent/llama_index/llama_index_react.py b/motleycrew/agent/llama_index/llama_index_react.py new file mode 100644 index 00000000..0f8ebb68 --- /dev/null +++ b/motleycrew/agent/llama_index/llama_index_react.py @@ -0,0 +1,41 @@ +from typing import Sequence +from llama_index.core.agent import ReActAgent +from llama_index.core.llms import LLM + +from motleycrew.agent.llama_index import LlamaIndexMotleyAgentParent +from motleycrew.agent.parent import MotleyAgentAbstractParent +from motleycrew.tool import MotleyTool +from motleycrew.common import MotleySupportedTool +from motleycrew.common import LLMFramework +from motleycrew.common.llms import init_llm + + +class ReActLlamaIndexMotleyAgent(LlamaIndexMotleyAgentParent): + def __init__(self, + goal: str, + name: str | None = None, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + llm: LLM | None = None, + verbose: bool = False): + if llm is None: + llm = init_llm(llm_framework=LLMFramework.LLAMA_INDEX) + + def agent_factory(tools: dict[str, MotleyTool]): + llama_index_tools = [t.to_llama_index_tool() for t in tools.values()] + # TODO: feed goal into the agent's prompt + agent = ReActAgent.from_tools( + tools=llama_index_tools, + llm=llm, + verbose=verbose, + ) + return agent + + super().__init__( + goal=goal, + name=name, + agent_factory=agent_factory, + delegation=delegation, + tools=tools, + verbose=verbose + ) diff --git a/motleycrew/agent/parent.py b/motleycrew/agent/parent.py new file mode 100644 index 00000000..d67a2783 --- /dev/null +++ b/motleycrew/agent/parent.py @@ -0,0 +1,16 @@ +from abc import ABC, abstractmethod +from typing import Dict, Optional, Any, Union + +from langchain_core.messages import BaseMessage +from langchain_core.runnables import RunnableConfig + + +class MotleyAgentAbstractParent(ABC): + @abstractmethod + def invoke( + self, + task: Union["Task", str], + config: Optional[RunnableConfig] = None, + **kwargs: Any, + ) -> "Task": + pass diff --git a/motleycrew/agent/shared.py b/motleycrew/agent/shared.py new file mode 100644 index 00000000..5e043cb4 --- /dev/null +++ b/motleycrew/agent/shared.py @@ -0,0 +1,108 @@ +import logging +import json +from typing import TYPE_CHECKING, Any, Sequence, Callable + +from langchain_core.tools import Tool + +from motleycrew.agent.parent import MotleyAgentAbstractParent +from motleycrew.tasks import Task, TaskGraph +from motleycrew.tool import MotleyTool + +from motleycrew.common import MotleySupportedTool +from motleycrew.common.exceptions import AgentNotMaterialized +from motleycrew.common.exceptions import CannotModifyMaterializedAgent + +if TYPE_CHECKING: + from motleycrew.crew import MotleyCrew + + +class MotleyAgentParent(MotleyAgentAbstractParent): + def __init__( + self, + goal: str, + name: str | None = None, + agent_factory: Callable[[dict[str, MotleyTool]], Any] | None = None, + delegation: bool | Sequence[MotleyAgentAbstractParent] = False, + tools: Sequence[MotleySupportedTool] | None = None, + verbose: bool = False, + ): + self.name = name or goal + self.goal = goal # becomes tool description + self.agent_factory = agent_factory + self.delegation = delegation # will be init'd at crew creation + self.tools: dict[str, MotleyTool] = {} + self.verbose = verbose + self.crew: MotleyCrew | None = None + + self._agent = None + + if tools: + self.add_tools(tools) + + @property + def agent(self): + """ + Getter for the inner agent that makes sure it's already materialized. + The inner agent should always be accesed via this property method. + """ + if not self.is_materialized: + raise AgentNotMaterialized(agent_name=self.name) + return self._agent + + @property + def is_materialized(self): + return self._agent is not None + + def materialize(self): + if self.is_materialized: + logging.info("Agent is already materialized, skipping materialization") + return + assert self.agent_factory, "Cannot materialize agent without a factory provided" + self._agent = self.agent_factory(tools=self.tools) + + def add_tools(self, tools: Sequence[MotleySupportedTool]): + if self.is_materialized: + raise CannotModifyMaterializedAgent(agent_name=self.name) + + for t in tools: + motley_tool = MotleyTool.from_supported_tool(t) + if motley_tool.name not in self.tools: + self.tools[motley_tool.name] = motley_tool + + def as_tool(self) -> MotleyTool: + # To be specialized if we expect structured input + return MotleyTool.from_langchain_tool( + Tool(name=self.name, description=self.goal, func=self.call_as_tool) + ) + + def call_as_tool(self, *args, **kwargs) -> Any: + logging.info("Entering delegation for %s", self.name) + + if len(args) > 0: + input_ = args[0] + elif "tool_input" in kwargs: + # Is this a crewai notation? + input_ = kwargs["tool_input"] + else: + input_ = json.dumps(kwargs) + + logging.info("Made the args: %s", input) + + # TODO: pass context of parent task to agent nicely? + # TODO: mark the current task as depending on the new task + task = Task( + description=input_, + name=input_, + agent=self, + # TODO inject the new subtask as a dep and reschedule the parent + # TODO probably can't do this from here since we won't know if + # there are other tasks to schedule + task_graph=TaskGraph(), + ) + + # TODO: make sure tools return task objects, which are properly used by callers + logging.info("Executing subtask '%s'", task.name) + result = self.crew.execute(task, return_result=True) + logging.info("Finished subtask '%s' - %s", task.name, result) + + return result diff --git a/motleycrew/common/__init__.py b/motleycrew/common/__init__.py new file mode 100644 index 00000000..af7c6f1b --- /dev/null +++ b/motleycrew/common/__init__.py @@ -0,0 +1,6 @@ +from .enums import LLMFamily +from .enums import LLMFramework + +from .defaults import Defaults + +from .types import MotleySupportedTool diff --git a/motleycrew/common/defaults.py b/motleycrew/common/defaults.py new file mode 100644 index 00000000..877f96ca --- /dev/null +++ b/motleycrew/common/defaults.py @@ -0,0 +1,8 @@ +from motleycrew.common import LLMFamily + + +class Defaults: + DEFAULT_LLM_FAMILY = LLMFamily.OPENAI + DEFAULT_LLM_NAME = "gpt-4-0125-preview" + DEFAULT_LLM_TEMPERATURE = 0.0 + LLM_MAP = {} diff --git a/motleycrew/common/enums.py b/motleycrew/common/enums.py new file mode 100644 index 00000000..740221e5 --- /dev/null +++ b/motleycrew/common/enums.py @@ -0,0 +1,7 @@ +class LLMFamily: + OPENAI = "openai" + + +class LLMFramework: + LANGCHAIN = "langchain" + LLAMA_INDEX = "llama_index" diff --git a/motleycrew/common/exceptions.py b/motleycrew/common/exceptions.py new file mode 100644 index 00000000..e132f4cd --- /dev/null +++ b/motleycrew/common/exceptions.py @@ -0,0 +1,33 @@ +class LLMFamilyNotSupported(Exception): + def __init__(self, llm_framework: str, llm_family: str): + self.llm_framework = llm_framework + self.llm_family = llm_family + + def __str__(self) -> str: + return f"LLM family `{self.llm_family}` is not supported via the framework `{self.llm_framework}`" + + +class LLMFrameworkNotSupported(Exception): + def __init__(self, llm_framework: str): + self.llm_framework = llm_framework + + def __str__(self) -> str: + return f"LLM framework `{self.llm_framework}` is not supported" + + +class AgentNotMaterialized(Exception): + def __init__(self, agent_name: str): + self.agent_name = agent_name + + def __str__(self) -> str: + return f"Agent `{self.agent_name}` is not yet materialized" + + +class CannotModifyMaterializedAgent(Exception): + def __init__(self, agent_name: str | None): + self.agent_name = agent_name + + def __str__(self) -> str: + return "Cannot modify agent{} as it is already materialized".format( + f" `{self.agent_name}`" if self.agent_name is not None else "" + ) diff --git a/motleycrew/common/llms.py b/motleycrew/common/llms.py new file mode 100644 index 00000000..ae2aec6e --- /dev/null +++ b/motleycrew/common/llms.py @@ -0,0 +1,41 @@ +from motleycrew.common import Defaults +from motleycrew.common import LLMFamily, LLMFramework +from motleycrew.common.exceptions import LLMFamilyNotSupported, LLMFrameworkNotSupported + + +def langchain_openai_llm( + llm_name: str = Defaults.DEFAULT_LLM_NAME, + llm_temperature: float = Defaults.DEFAULT_LLM_TEMPERATURE, +): + from langchain_openai import ChatOpenAI + + return ChatOpenAI(model=llm_name, temperature=llm_temperature) + + +def llama_index_openai_llm( + llm_name: str = Defaults.DEFAULT_LLM_NAME, + llm_temperature: float = Defaults.DEFAULT_LLM_TEMPERATURE, +): + from llama_index.llms.openai import OpenAI + + return OpenAI(model=llm_name, temperature=llm_temperature) + + +Defaults.LLM_MAP = { + (LLMFramework.LANGCHAIN, LLMFamily.OPENAI): langchain_openai_llm, + (LLMFramework.LLAMA_INDEX, LLMFamily.OPENAI): llama_index_openai_llm, +} + + +def init_llm( + llm_framework: str, + llm_family: str = Defaults.DEFAULT_LLM_FAMILY, + llm_name: str = Defaults.DEFAULT_LLM_NAME, + llm_temperature: float = Defaults.DEFAULT_LLM_TEMPERATURE, +): + + func = Defaults.LLM_MAP.get((llm_framework, llm_family), None) + if func is not None: + return func(llm_name=llm_name, llm_temperature=llm_temperature) + + raise LLMFamilyNotSupported(llm_framework=llm_framework, llm_family=llm_family) diff --git a/motleycrew/common/types.py b/motleycrew/common/types.py new file mode 100644 index 00000000..77db0dc3 --- /dev/null +++ b/motleycrew/common/types.py @@ -0,0 +1,3 @@ +from typing import Any + +MotleySupportedTool = Any # TODO: more specific typing for supported tools diff --git a/motleycrew/common/utils.py b/motleycrew/common/utils.py new file mode 100644 index 00000000..517d57be --- /dev/null +++ b/motleycrew/common/utils.py @@ -0,0 +1,16 @@ +from typing import Sequence +from langchain_core.messages import BaseMessage + + +def to_str(value: str | BaseMessage | Sequence[str] | Sequence[BaseMessage]) -> str: + if isinstance(value, str): + return value + elif isinstance(value, BaseMessage): + return value.content + else: + try: + return "\n".join([to_str(v) for v in value]) + except TypeError: + raise TypeError( + f"Expected str, BaseMessage, or an iterable of them, got {type(value)}" + ) diff --git a/motleycrew/crew.py b/motleycrew/crew.py new file mode 100644 index 00000000..60c18768 --- /dev/null +++ b/motleycrew/crew.py @@ -0,0 +1,141 @@ +import concurrent.futures +import os +from concurrent.futures import Future, ThreadPoolExecutor +from typing import Iterable, Sequence, Set +from uuid import uuid4 + +from motleycrew.agent.shared import MotleyAgentParent +from motleycrew.tasks import Task, TaskGraph +from motleycrew.tool.tool import BaseTool + + +class MotleyCrew: + def __init__(self): + self.uuid = uuid4() + # TODO: impute number of workers or allow configurable + self.thread_pool = ThreadPoolExecutor(max_workers=8) + self.futures: Set[Future] = set() + self.task_graph = TaskGraph() + self.single_thread = os.environ.get("MC_SINGLE_THREAD", False) + self.tools = [] + + def run( + self, + agents: Sequence[MotleyAgentParent] | None = None, + tools: Sequence[BaseTool] | None = None, + verbose: int = 0, + ) -> TaskGraph: + # TODO: propagate the `verbose` argument + + self.task_graph.check_cyclical_dependencies() + + if isinstance(tools, Sequence): + self.tools = list(tools) + + # TODO: need to specify agents both to tasks and to crew, redundant? + self.agents = agents + + if self.single_thread: + print("Running in single-thread mode") + return self._run_sync() + + print("Running in threaded mode") + return self._run_async() + + def _run_sync(self): + tasks = self.task_graph + while tasks.num_tasks_remaining(): + self.dispatch_next_batch() + return tasks + + def _run_async(self): + tasks = self.task_graph + self.adispatch_next_batch() + while self.futures: + # TODO handle errors + # TODO pass results to next task + done, _ = concurrent.futures.wait( + self.futures, return_when=concurrent.futures.FIRST_COMPLETED + ) + + for future in done: + task = future.mc_task + print(f"Finished task '{task.name}'") + self.futures.remove(future) + tasks.set_task_done(task) + self.adispatch_next_batch() + + return tasks + + def add_task(self, task: Task): + self.task_graph.add_task(task) + + def dispatch_next_batch(self): + next_ = self.task_graph.get_ready_tasks() + for t in next_: + print(f"Dispatching task '{t.name}'") + self.task_graph.set_task_running(t) + self.execute(t, True) + self.task_graph.set_task_done(t) + + def adispatch_next_batch(self): + next_ = self.task_graph.get_ready_tasks() + for t in next_: + self.task_graph.set_task_running(t) + print(f"Dispatching task '{t.name}'") + future = self.thread_pool.submit( + self.execute, + t, + True, + ) + self.futures.add(future) + future.mc_task = t + + def execute(self, task: Task, return_result: bool = True): + agent = self.assign_agent(task) + if return_result: + return agent.invoke(task).outputs[-1] + else: + raise NotImplementedError("Async task spawning not yet implemented") + # return f"Subtask {task.name} spawned successfully" + + def assign_agent(self, task: Task) -> MotleyAgentParent: + if isinstance(task.agent, MotleyAgentParent): + # TODO: make a deepcopy here, perhaps via cloudpickle? + # Agents are meant to be transient, so we don't want to modify the original + agent = task.agent + else: + agent = spawn_agent(task) + + tools = self.get_agent_tools(agent, task) + agent.add_tools(tools) + + return agent + + def get_agent_tools( + self, agent: MotleyAgentParent, task: Task + ) -> Sequence[BaseTool]: + # Task is needed later when we do smart tool selection + # TODO: Smart tool selection goes here + # Add the agents as tools to each other for delegation + # later might want to get a bit fancier here to prevent endlessly-deep delegation + # TODO: do we want to auto-include the agents from the tasks in this? + tools = self.tools + if agent.delegation is True: + tools += [aa.as_tool() for aa in self.agents if aa != agent] + elif isinstance(agent.delegation, Iterable): + for aa in agent.delegation: + tools.append(aa.as_tool()) + elif agent.delegation is False: + pass + else: + raise ValueError( + f"Invalid delegation value: {agent.delegation}, must be bool or iterable of agents" + ) + + return tools + + +def spawn_agent(task: Task) -> MotleyAgentParent: + # TODO: Code to select agent from library, or auto-spawn one, goes here + raise NotImplementedError("For now, must explicitly assign an agent to each task") diff --git a/motleycrew/tasks/__init__.py b/motleycrew/tasks/__init__.py new file mode 100644 index 00000000..19d8c31c --- /dev/null +++ b/motleycrew/tasks/__init__.py @@ -0,0 +1,4 @@ +from motleycrew.tasks.graph import TaskGraph +from motleycrew.tasks.task import Task, TaskDependencyCycleError + +__all__ = ["Task", "TaskDependencyCycleError", "TaskGraph"] diff --git a/motleycrew/tasks/graph.py b/motleycrew/tasks/graph.py new file mode 100644 index 00000000..29a11aad --- /dev/null +++ b/motleycrew/tasks/graph.py @@ -0,0 +1,39 @@ +from typing import TYPE_CHECKING, List, Set + +if TYPE_CHECKING: + from motleycrew.tasks import Task + + +class TaskGraph: + def __init__(self): + self._pending: Set[Task] = set() + self._running: Set[Task] = set() + self._done: Set[Task] = set() + + def add_task(self, task: "Task"): + self._pending.add(task) + + def set_task_running(self, task: "Task"): + self._pending.remove(task) + self._running.add(task) + + def set_task_done(self, task: "Task"): + self._running.remove(task) + self._done.add(task) + task.done = True + + def pause_running_task(self, task: "Task"): + self._running.remove(task) + self._pending.add(task) + + def get_ready_tasks(self) -> List["Task"]: + return [t for t in self._pending if t.is_ready()] + + def check_cyclical_dependencies(self): + pass + + def num_tasks_remaining(self): + return len(self._pending) + len(self._running) + + def num_tasks_pending(self): + return len(self._pending) diff --git a/motleycrew/tasks/task.py b/motleycrew/tasks/task.py new file mode 100644 index 00000000..9ab8c217 --- /dev/null +++ b/motleycrew/tasks/task.py @@ -0,0 +1,97 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING, Any, Sequence, Set + +from motleycrew.agent.parent import MotleyAgentAbstractParent + +if TYPE_CHECKING: + from motleycrew.tasks.graph import MotleyCrew + +PROMPT_TEMPLATE_WITH_DEPS = """ +{description} + +You must use the results of these upstream tasks: + +{upstream_results_section} +""" + + +class TaskDependencyCycleError(Exception): + """Raised when a task is set to depend on itself""" + + +class Task: + def __init__( + self, + description: str, + name: str, + crew: MotleyCrew, + agent: MotleyAgentAbstractParent | None = None, + documents: Sequence[Any] | None = None, + creator_name: str | None = None, + return_to_creator: bool = False, + ): + self.name = name # does it really need one? Where does it get used? + self.description = description + self.crew = crew + self.agent = agent # to be auto-assigned at crew creation if missing? + # should tasks own agents or should agents own tasks? + self.documents = documents # to be passed to an auto-init'd retrieval, later on + self.creator_name = creator_name or "Human" + self.return_to_creator = ( + return_to_creator # for orchestrator to know to send back to creator + ) + self.message_history = [] # Useful when task is passed around between agents + self.outputs = [] # to be filled in by the agent(s) once the task is complete + self.used_tools = 0 # a hack for CrewAI compatibility + + self.done: bool = False + + self.upstream_tasks: Set[Task] = set() + self.downstream_tasks: Set[Task] = set() + + self.crew.add_task(self) + + def prompt(self) -> str: + """ + For compatibility with crewai.Agent.execute_task + :return: + """ + if not self.upstream_tasks: + return self.description + + # TODO include the rest of the outputs list + upstream_results = [f"##{t.name}\n{t.outputs[-1]}" for t in self.upstream_tasks] + upstream_results_section = "\n\n".join(upstream_results) + return PROMPT_TEMPLATE_WITH_DEPS.format( + description=self.description, + upstream_results_section=upstream_results_section, + ) + + def is_ready(self) -> bool: + return not self.done and all(t.done for t in self.upstream_tasks) + + def set_upstream(self, task: Task) -> Task: + if task is self: + raise TaskDependencyCycleError(f"Task {task.name} can not depend on itself") + + self.upstream_tasks.add(task) + task.downstream_tasks.add(self) + + return self + + def __rshift__(self, other: Task | Sequence[Task]) -> Task: + if isinstance(other, Task): + tasks = {other} + else: + tasks = other + + for task in tasks: + task.set_upstream(self) + + return self + + def __rrshift__(self, other: Sequence[Task]) -> Sequence[Task]: + for task in other: + self.set_upstream(task) + return other diff --git a/motleycrew/tool/__init__.py b/motleycrew/tool/__init__.py new file mode 100644 index 00000000..84596777 --- /dev/null +++ b/motleycrew/tool/__init__.py @@ -0,0 +1 @@ +from .tool import MotleyTool diff --git a/motleycrew/tool/llm_tool.py b/motleycrew/tool/llm_tool.py new file mode 100644 index 00000000..9d8991bd --- /dev/null +++ b/motleycrew/tool/llm_tool.py @@ -0,0 +1,52 @@ +from typing import Optional + +from langchain_core.tools import Tool +from langchain_core.prompts import PromptTemplate +from langchain_core.language_models import BaseLanguageModel +from langchain_core.pydantic_v1 import BaseModel, Field + +from motleycrew.tool import MotleyTool +from motleycrew.common import LLMFramework +from motleycrew.common.llms import init_llm + + +class LLMTool(MotleyTool): + def __init__( + self, + name: str, + description: str, + prompt: str, + llm: Optional[BaseLanguageModel] = None, + ): + langchain_tool = create_llm_langchain_tool(name, description, prompt, llm) + super().__init__(langchain_tool) + + +def create_llm_langchain_tool( + name: str, + description: str, + prompt: str, + llm: Optional[BaseLanguageModel] = None, + input_description: Optional[str] = "Input for the tool.", +): + if llm is None: + llm = init_llm(llm_framework=LLMFramework.LANGCHAIN) + + class LLMToolInput(BaseModel): + """Input for the tool.""" + + input: str = Field(description=input_description) + + p = PromptTemplate.from_template(prompt) + assert "input" in p.input_variables, "Prompt must contain an `input` variable" + + def call_llm(input: str) -> str: + chain = p | llm + return chain.invoke({"input": input}) + + return Tool.from_function( + func=call_llm, + name=name, + description=description, + args_schema=LLMToolInput, + ) diff --git a/motleycrew/tool/python_repl.py b/motleycrew/tool/python_repl.py new file mode 100644 index 00000000..caeae51b --- /dev/null +++ b/motleycrew/tool/python_repl.py @@ -0,0 +1,24 @@ +from langchain.agents import Tool +from langchain_experimental.utilities import PythonREPL +from langchain_core.pydantic_v1 import BaseModel, Field + +from .tool import MotleyTool + + +class REPLToolInput(BaseModel): + """Input for the REPL tool.""" + + command: str = Field(description="code to execute") + + +# You can create the tool to pass to an agent +def create_repl_tool(): + return MotleyTool.from_langchain_tool( + Tool.from_function( + func=PythonREPL().run, + name="python_repl", + description="A Python shell. Use this to execute python commands. Input should be a valid python command. " + "MAKE SURE TO PRINT OUT THE RESULTS YOU CARE ABOUT USING `print(...)`.", + args_schema=REPLToolInput, + ) + ) diff --git a/motleycrew/tool/tool.py b/motleycrew/tool/tool.py new file mode 100644 index 00000000..d1f4891f --- /dev/null +++ b/motleycrew/tool/tool.py @@ -0,0 +1,62 @@ +from typing import Union + +from langchain.tools import BaseTool + +from llama_index.core.tools import BaseTool as LlamaIndex__BaseTool +from llama_index.core.tools import FunctionTool as LlamaIndex__FunctionTool + + +def normalize_input(args, kwargs): + if "tool_input" in kwargs: + return kwargs["tool_input"] + else: + return args[0] + + +class MotleyTool: + """ + Base tool class compatible with MotleyAgents. + It is a wrapper for LangChain's BaseTool, containing all necessary adapters and converters. + """ + def __init__(self, tool: BaseTool): + self.tool = tool + + @property + def name(self): + #TODO: do we really want to make a thin wrapper in this fashion? + return self.tool.name + + def invoke(self, *args, **kwargs): + return self.tool.invoke(*args, **kwargs) + + @staticmethod + def from_langchain_tool(langchain_tool: BaseTool) -> "MotleyTool": + return MotleyTool(tool=langchain_tool) + + @staticmethod + def from_llama_index_tool(llama_index_tool: LlamaIndex__BaseTool) -> "MotleyTool": + langchain_tool = llama_index_tool.to_langchain_tool() + return MotleyTool.from_langchain_tool(langchain_tool=langchain_tool) + + @staticmethod + def from_supported_tool(tool: Union["MotleyTool", BaseTool, LlamaIndex__BaseTool]): + if isinstance(tool, MotleyTool): + return tool + elif isinstance(tool, BaseTool): + return MotleyTool.from_langchain_tool(tool) + elif isinstance(tool, LlamaIndex__BaseTool): + return MotleyTool.from_llama_index_tool(tool) + else: + raise Exception(f"Tool type `{type(tool)}` is not supported, please convert to MotleyTool first") + + def to_langchain_tool(self) -> BaseTool: + return self.tool + + def to_llama_index_tool(self) -> LlamaIndex__BaseTool: + llama_index_tool = LlamaIndex__FunctionTool.from_defaults( + fn=self.tool._run, + name=self.tool.name, + description=self.tool.description, + fn_schema=self.tool.args_schema + ) + return llama_index_tool diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 00000000..efe0f4a2 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,3248 @@ +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. + +[[package]] +name = "aiohttp" +version = "3.9.3" +description = "Async http client/server framework (asyncio)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"}, + {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc"}, + {file = "aiohttp-3.9.3-cp310-cp310-macosx_11_0_arm64.whl", hash = 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"^5.2.1" +llama-index = "^0.10.27" +langchain-experimental = "^0.0.57" + +[tool.poetry.group.dev.dependencies] +black = "^24.2.0" +pytest = "^8.0.2" +pytest-cov = "^4.1.0" +flake8 = "^7.0.0" +mypy = "^1.8.0" +isort = "^5.13.2" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/test_tasks/__init__.py b/tests/test_tasks/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/test_tasks/test_graph.py b/tests/test_tasks/test_graph.py new file mode 100644 index 00000000..b7eefbee --- /dev/null +++ b/tests/test_tasks/test_graph.py @@ -0,0 +1,32 @@ +import pytest + +from motleycrew import MotleyCrew, Task, TaskGraph + + +@pytest.fixture +def crew(): + return MotleyCrew() + + +@pytest.fixture +def graph(crew): + return crew.task_graph + + +def test_empty_graph_has_no_tasks_remaining(graph): + assert graph.num_tasks_remaining() == 0 + + +def test_registered_tasks_are_counted_as_pending(crew, graph): + _ = Task("", "", crew) + + assert crew, graph.num_tasks_pending() == 1 + assert crew, graph.num_tasks_remaining() == 1 + + +def test_registered_tasks_are_not_duplicated(crew, graph): + task = Task("", "", crew) + graph.add_task(task) + + assert graph.num_tasks_pending() == 1 + assert graph.num_tasks_remaining() == 1 diff --git a/tests/test_tasks/test_task.py b/tests/test_tasks/test_task.py new file mode 100644 index 00000000..45f263a7 --- /dev/null +++ b/tests/test_tasks/test_task.py @@ -0,0 +1,110 @@ +import pytest + +from motleycrew import MotleyCrew +from motleycrew.tasks import Task, TaskDependencyCycleError, TaskGraph + + +def create_dummy_task(crew: MotleyCrew, name: str): + return Task( + name=name, + description=name, + crew=crew, + ) + + +@pytest.fixture +def crew(): + return MotleyCrew() + + +@pytest.fixture +def task1(crew): + return create_dummy_task(crew, "1") + + +@pytest.fixture +def task2(crew): + return create_dummy_task(crew, "2") + + +@pytest.fixture +def task3(crew): + return create_dummy_task(crew, "3") + + +class TestSetUpstream: + def test_set_upstream_returns_self(self, task1, task2): + result = task2.set_upstream(task1) + + assert result is task2 + + def test_set_upstream_sets_upstream(self, task1, task2): + task2.set_upstream(task1) + + assert task1.upstream_tasks == set() + assert task2.upstream_tasks == {task1} + + def test_set_upstream_sets_downstreams(self, task1, task2): + task2.set_upstream(task1) + + assert task1.downstream_tasks == {task2} + assert task2.downstream_tasks == set() + + def test_rshift_returns_left(self, task1, task2): + result = task1 >> task2 + + assert result is task1 + + def test_rshift_sets_downstream(self, task1, task2): + task1 >> task2 + + assert task1.downstream_tasks == {task2} + assert task2.downstream_tasks == set() + + def test_rshift_sets_upstream(self, task1, task2): + task1 >> task2 + + assert task1.upstream_tasks == set() + assert task2.upstream_tasks == {task1} + + def test_rshift_set_multiple_downstream(self, task1, task2, task3): + task1 >> [task2, task3] + + assert task1.downstream_tasks == {task2, task3} + assert task2.downstream_tasks == set() + assert task3.downstream_tasks == set() + + def test_rshift_set_multiple_upstream(self, task1, task2, task3): + task1 >> [task2, task3] + + assert task1.upstream_tasks == set() + assert task2.upstream_tasks == {task1} + assert task3.upstream_tasks == {task1} + + def test_sequence_on_left_returns_sequence(self, task1, task2, task3): + result = [task1, task2] >> task3 + + assert result == [task1, task2] + + def test_sequence_on_left_sets_downstream(self, task1, task2, task3): + [task1, task2] >> task3 + + assert task1.downstream_tasks == {task3} + assert task2.downstream_tasks == {task3} + assert task3.downstream_tasks == set() + + def test_sequence_on_left_sets_upstream(self, task1, task2, task3): + [task1, task2] >> task3 + + assert task1.upstream_tasks == set() + assert task2.upstream_tasks == set() + assert task3.upstream_tasks == {task1, task2} + + def test_deduplicates(self, task1, task2): + task1 >> [task2, task2] + + assert task1.downstream_tasks == {task2} + + def test_error_on_direct_dependency_cycle(self, task1): + with pytest.raises(TaskDependencyCycleError): + task1 >> task1 diff --git a/tests/test_tools/__init__.py b/tests/test_tools/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/test_tools/test_repl_tool.py b/tests/test_tools/test_repl_tool.py new file mode 100644 index 00000000..893c3275 --- /dev/null +++ b/tests/test_tools/test_repl_tool.py @@ -0,0 +1,10 @@ +from motleycrew.tool.python_repl import create_repl_tool + + +class TestREPLTool: + def test_repl_tool(self): + repl_tool = create_repl_tool() + repl_tool_input_fields = list(repl_tool.tool.args_schema.__fields__.keys()) + + assert repl_tool_input_fields == ["command"] + assert repl_tool.invoke({repl_tool_input_fields[0]: "print(1)"}).strip() == "1" diff --git a/tests/test_tools/test_tool.py b/tests/test_tools/test_tool.py new file mode 100644 index 00000000..97463c18 --- /dev/null +++ b/tests/test_tools/test_tool.py @@ -0,0 +1,72 @@ +import pytest + +from langchain_core.pydantic_v1 import BaseModel, Field +from langchain.tools import BaseTool +from motleycrew import MotleyTool + +@pytest.fixture +def mock_tool_args_schema(): + class MockToolInput(BaseModel): + mock_input: str = Field(description="mock") + + return MockToolInput + +def mock_tool_function(mock_input: str): + return mock_input + +@pytest.fixture +def mock_input(): + return {"mock_input": "some_value"} + + +@pytest.fixture +def langchain_tool(mock_tool_args_schema): + from langchain.tools import Tool + return Tool.from_function(func=mock_tool_function, + name="mock_tool", + description="mock_description", + args_schema=mock_tool_args_schema) + + +@pytest.fixture +def llama_index_tool(mock_tool_args_schema): + from llama_index.core.tools import FunctionTool + return FunctionTool.from_defaults(fn=mock_tool_function, + name="mock_tool", + description="mock_description", + fn_schema=mock_tool_args_schema) + + +class TestMotleyTool: + def test_langchain_tool_conversion(self, langchain_tool, mock_input): + motley_tool = MotleyTool.from_supported_tool(langchain_tool) + assert isinstance(motley_tool.tool, BaseTool) + + converted_langchain_tool = motley_tool.to_langchain_tool() + + assert type(langchain_tool) is type(converted_langchain_tool) + assert motley_tool.name == langchain_tool.name + assert langchain_tool.name == converted_langchain_tool.name + assert langchain_tool.description == converted_langchain_tool.description + assert langchain_tool.args_schema == converted_langchain_tool.args_schema + + assert langchain_tool.invoke(mock_input) == converted_langchain_tool.invoke(mock_input) + + def test_llama_index_tool_conversion(self, llama_index_tool, mock_input): + motley_tool = MotleyTool.from_supported_tool(llama_index_tool) + assert isinstance(motley_tool.tool, BaseTool) + + converted_llama_index_tool = motley_tool.to_llama_index_tool() + + assert motley_tool.name == llama_index_tool.metadata.name + assert llama_index_tool.metadata.name == converted_llama_index_tool.metadata.name + assert llama_index_tool.metadata.description == converted_llama_index_tool.metadata.description + assert llama_index_tool.metadata.fn_schema == converted_llama_index_tool.metadata.fn_schema + + assert llama_index_tool(mock_input) == converted_llama_index_tool(mock_input) + + def test_motley_tool_self_conversion(self, langchain_tool): + motley_tool = MotleyTool.from_langchain_tool(langchain_tool) + motley_tool_2 = MotleyTool.from_supported_tool(motley_tool) + + assert motley_tool.name == motley_tool_2.name