# LangSmith API Wrappers
Some functionality to wrap common apis (e.g., `openai`) with [LangSmith](https://smith.langchain.com/) instrumentation.
Example:
```python
from langsmith.wrappers.openai import openai
result = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": "What's the weather like in san francisco right now?",
}
],
functions=[
{
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
"required": ["location"],
},
}
],
)
print(result)
```
You can try wrapping your own library. Function calls will be mapped as "chain" runs.
Example:
```python
from langsmith.wrappers.base import ModuleWrapper
import transformers as transformers_base
transformers = ModuleWrapper(transformers_base)
pipe = transformers.pipeline("text2text-generation", model="google/t5-efficient-tiny")
result = pipe("This is a test")
```
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