Python

Introduction

Users are empowered by the Python Tool to offer customized code snippets as self-contained executable nodes in PromptFlow. Users can effortlessly create Python tools, edit code, and verify results with ease.

Inputs

Name	Type	Description	Required
Code	string	Python code snippet	Yes
Inputs	-	List of tool function parameters and its assignments	-

Types

Type	Python example	Description
int	param: int	Integer type
bool	param: bool	Boolean type
string	param: str	String type
double	param: float	Double type
list	param: list or param: List[T]	List type
object	param: dict or param: Dict[K, V]	Object type
Connection	param: CustomConnection	Connection type, will be handled specially

Parameters with Connection type annotation will be treated as connection inputs, which means:

• Promptflow extension will show a selector to select the connection.

• During execution time, promptflow will try to find the connection with the name same from parameter value passed in.

Note that Union[...] type annotation is supported ONLY for connection type, for example, param: Union[CustomConnection, OpenAIConnection].

Outputs

The return of the python tool function.

How to write Python Tool?

Guidelines

1. Python Tool Code should consist of a complete Python code, including any necessary module imports.

2. Python Tool Code must contain a function decorated with @tool (tool function), serving as the entry point for execution. The @tool decorator should be applied only once within the snippet.

   Below sample defines python tool “my_python_tool”, decorated with @tool

3. Python tool function parameters must be assigned in ‘Inputs’ section

   Below sample defines inputs “message” and assign with “world”

4. Python tool function shall have return

   Below sample returns a concatenated string

Code

The snippet below shows the basic structure of a tool function. Promptflow will read the function and extract inputs from function parameters and type annotations.

from promptflow import tool
from promptflow.connections import CustomConnection

# The inputs section will change based on the arguments of the tool function, after you save the code
# Adding type to arguments and return value will help the system show the types properly
# Please update the function name/signature per need
@tool
def my_python_tool(message: str, my_conn: CustomConnection) -> str:
    my_conn_dict = dict(my_conn)
    # Do some function call with my_conn_dict...
    return 'hello ' + message

Inputs

Name	Type	Sample Value in Flow Yaml	Value passed to function
message	string	“world”	“world”
my_conn	CustomConnection	“my_conn”	CustomConnection object

Promptflow will try to find the connection named ‘my_conn’ during execution time.

outputs

"hello world"