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swarms/docs/swarms/utils/phoenix_tracer.md

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# Phoenix Trace Decorator Documentation
## Introduction
Welcome to the documentation for the `phoenix_trace_decorator` module. This module provides a convenient decorator for tracing Python functions and capturing exceptions using Phoenix, a versatile tracing and monitoring tool. Phoenix allows you to gain insights into the execution of your code, capture errors, and monitor performance.
## Table of Contents
1. [Installation](#installation)
2. [Getting Started](#getting-started)
3. [Decorator Usage](#decorator-usage)
4. [Examples](#examples)
5. [Best Practices](#best-practices)
6. [References](#references)
## 1. Installation <a name="installation"></a>
Before using the `phoenix_trace_decorator`, you need to install the Swarms library. You can install Phoenix using pip:
```bash
pip install swarms
```
## 2. Getting Started <a name="getting-started"></a>
Phoenix is a powerful tracing and monitoring tool, and the `phoenix_trace_decorator` simplifies the process of tracing functions and capturing exceptions within your Python code. To begin, ensure that Phoenix is installed, and then import the `phoenix_trace_decorator` module into your Python script.
```python
from swarms import phoenix_trace_decorator
```
## 3. Decorator Usage <a name="decorator-usage"></a>
The `phoenix_trace_decorator` module provides a decorator, `phoenix_trace_decorator`, which can be applied to functions you want to trace. The decorator takes a single argument, a docstring that describes the purpose of the function being traced.
Here is the basic structure of using the decorator:
```python
@phoenix_trace_decorator("Description of the function")
def my_function(param1, param2):
# Function implementation
pass
```
## 4. Examples <a name="examples"></a>
Let's explore some practical examples of using the `phoenix_trace_decorator` in your code.
### Example 1: Basic Tracing
In this example, we'll trace a simple function and print a message.
```python
@phoenix_trace_decorator("Tracing a basic function")
def hello_world():
print("Hello, World!")
# Call the decorated function
hello_world()
```
### Example 2: Tracing a Function with Parameters
You can use the decorator with functions that have parameters.
```python
@phoenix_trace_decorator("Tracing a function with parameters")
def add_numbers(a, b):
result = a + b
print(f"Result: {result}")
# Call the decorated function with parameters
add_numbers(2, 3)
```
### Example 3: Tracing Nested Calls
The decorator can also trace nested function calls.
```python
@phoenix_trace_decorator("Outer function")
def outer_function():
print("Outer function")
@phoenix_trace_decorator("Inner function")
def inner_function():
print("Inner function")
inner_function()
# Call the decorated functions
outer_function()
```
### Example 4: Exception Handling
Phoenix can capture exceptions and provide detailed information about them.
```python
@phoenix_trace_decorator("Function with exception handling")
def divide(a, b):
try:
result = a / b
except ZeroDivisionError as e:
raise ValueError("Division by zero") from e
# Call the decorated function with an exception
try:
divide(5, 0)
except ValueError as e:
print(f"Error: {e}")
```
## 5. Best Practices <a name="best-practices"></a>
When using the `phoenix_trace_decorator`, consider the following best practices:
- Use meaningful docstrings to describe the purpose of the traced functions.
- Keep your tracing focused on critical parts of your code.
- Make sure Phoenix is properly configured and running before using the decorator.
## 6. References <a name="references"></a>
For more information on Phoenix and advanced usage, please refer to the [Phoenix Documentation](https://phoenix-docs.readthedocs.io/en/latest/).
---
By following this documentation, you can effectively use the `phoenix_trace_decorator` to trace your Python functions, capture exceptions, and gain insights into the execution of your code. This tool is valuable for debugging, performance optimization, and monitoring the health of your applications.