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(docs) function calling

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ishaan-jaff 2023-10-16 21:58:18 -07:00
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docs/my-website/docs/completion/function_call.md
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# Function Calling
LiteLLM only supports: OpenAI gpt-4-0613 and gpt-3.5-turbo-0613 for function calling
## Quick Start
This is exactly how OpenAI supports function calling for gpt-4-0613 and gpt-3.5-turbo-0613
```python
import os, litellm
from litellm import completion
@ -11,10 +12,12 @@ messages = [
{"role": "user", "content": "What is the weather like in Boston?"}
]
# python function that will get executed
def get_current_weather(location):
if location == "Boston, MA":
return "The weather is 12F"
# JSON Schema to pass to OpenAI
functions = [
{
"name": "get_current_weather",
@ -40,13 +43,16 @@ response = completion(model="gpt-3.5-turbo-0613", messages=messages, functions=f
print(response)
```
## Using - litellm.utils.function_to_dict
## litellm.function_to_dict - Convert Functions to dictionary for OpenAI function calling
`function_to_dict` allows you to pass a function docstring and produce a dictionary usable for OpenAI function calling
### Usage
Define your function, use `litellm.utils.function_to_dict` to convert your function to a dictionary usable for OpenAI
### Using `function_to_dict`
1. Define your function `get_current_weather`
2. Add a docstring to your function `get_current_weather`
3. Pass the function to `litellm.utils.function_to_dict` to get the dictionary for OpenAI function calling
```python
# function with docstring
def get_current_weather(location: str, unit: str):
"""Get the current weather in a given location
@ -64,11 +70,13 @@ def get_current_weather(location: str, unit: str):
"""
if location == "Boston, MA":
return "The weather is 12F"
function_json = litellm.utils.function_to_dict(get_current_weather)
print(function_json)
# use litellm.utils.function_to_dict to convert function to dict
function_json = litellm.utils.function_to_dict(get_current_weather)
print(function_json)
```
#### Output
#### Output from function_to_dict
```json
{
'name': 'get_current_weather',