mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-08 15:48:29 +00:00
e66a135d5d
* move base_tool to main package and consolidate tool desscription generation * update import path * update tests * update doc * add base_tool test * migrate agent delegation tools to use BaseTool * update tests * update import path for tool * fix lint * update param signature * add from_langchain to BaseTool for backwards support of langchain tools * fix the case where StructuredTool doesn't have func --------- Co-authored-by: c0dez <li@vitablehealth.com> Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
110 lines
4.1 KiB
Python
110 lines
4.1 KiB
Python
from typing import Callable
|
|
from crewai.tools import BaseTool, tool
|
|
|
|
|
|
def test_creating_a_tool_using_annotation():
|
|
@tool("Name of my tool")
|
|
def my_tool(question: str) -> str:
|
|
"""Clear description for what this tool is useful for, you agent will need this information to use it."""
|
|
return question
|
|
|
|
# Assert all the right attributes were defined
|
|
assert my_tool.name == "Name of my tool"
|
|
assert (
|
|
my_tool.description
|
|
== "Tool Name: Name of my tool\nTool Arguments: {'question': {'description': None, 'type': 'str'}}\nTool Description: Clear description for what this tool is useful for, you agent will need this information to use it."
|
|
)
|
|
assert my_tool.args_schema.schema()["properties"] == {
|
|
"question": {"title": "Question", "type": "string"}
|
|
}
|
|
assert (
|
|
my_tool.func("What is the meaning of life?") == "What is the meaning of life?"
|
|
)
|
|
|
|
# Assert the langchain tool conversion worked as expected
|
|
converted_tool = my_tool.to_langchain()
|
|
assert converted_tool.name == "Name of my tool"
|
|
|
|
assert (
|
|
converted_tool.description
|
|
== "Tool Name: Name of my tool\nTool Arguments: {'question': {'description': None, 'type': 'str'}}\nTool Description: Clear description for what this tool is useful for, you agent will need this information to use it."
|
|
)
|
|
assert converted_tool.args_schema.schema()["properties"] == {
|
|
"question": {"title": "Question", "type": "string"}
|
|
}
|
|
assert (
|
|
converted_tool.func("What is the meaning of life?")
|
|
== "What is the meaning of life?"
|
|
)
|
|
|
|
|
|
def test_creating_a_tool_using_baseclass():
|
|
class MyCustomTool(BaseTool):
|
|
name: str = "Name of my tool"
|
|
description: str = (
|
|
"Clear description for what this tool is useful for, you agent will need this information to use it."
|
|
)
|
|
|
|
def _run(self, question: str) -> str:
|
|
return question
|
|
|
|
my_tool = MyCustomTool()
|
|
# Assert all the right attributes were defined
|
|
assert my_tool.name == "Name of my tool"
|
|
|
|
assert (
|
|
my_tool.description
|
|
== "Tool Name: Name of my tool\nTool Arguments: {'question': {'description': None, 'type': 'str'}}\nTool Description: Clear description for what this tool is useful for, you agent will need this information to use it."
|
|
)
|
|
assert my_tool.args_schema.schema()["properties"] == {
|
|
"question": {"title": "Question", "type": "string"}
|
|
}
|
|
assert my_tool.run("What is the meaning of life?") == "What is the meaning of life?"
|
|
|
|
# Assert the langchain tool conversion worked as expected
|
|
converted_tool = my_tool.to_langchain()
|
|
assert converted_tool.name == "Name of my tool"
|
|
|
|
assert (
|
|
converted_tool.description
|
|
== "Tool Name: Name of my tool\nTool Arguments: {'question': {'description': None, 'type': 'str'}}\nTool Description: Clear description for what this tool is useful for, you agent will need this information to use it."
|
|
)
|
|
assert converted_tool.args_schema.schema()["properties"] == {
|
|
"question": {"title": "Question", "type": "string"}
|
|
}
|
|
assert (
|
|
converted_tool.run("What is the meaning of life?")
|
|
== "What is the meaning of life?"
|
|
)
|
|
|
|
|
|
def test_setting_cache_function():
|
|
class MyCustomTool(BaseTool):
|
|
name: str = "Name of my tool"
|
|
description: str = (
|
|
"Clear description for what this tool is useful for, you agent will need this information to use it."
|
|
)
|
|
cache_function: Callable = lambda: False
|
|
|
|
def _run(self, question: str) -> str:
|
|
return question
|
|
|
|
my_tool = MyCustomTool()
|
|
# Assert all the right attributes were defined
|
|
assert not my_tool.cache_function()
|
|
|
|
|
|
def test_default_cache_function_is_true():
|
|
class MyCustomTool(BaseTool):
|
|
name: str = "Name of my tool"
|
|
description: str = (
|
|
"Clear description for what this tool is useful for, you agent will need this information to use it."
|
|
)
|
|
|
|
def _run(self, question: str) -> str:
|
|
return question
|
|
|
|
my_tool = MyCustomTool()
|
|
# Assert all the right attributes were defined
|
|
assert my_tool.cache_function()
|