> ## Documentation Index
> Fetch the complete documentation index at: https://www.traceloop.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# What is OpenLLMetry?
OpenLLMetry is an open source project that allows you to easily start monitoring and debugging the execution of your LLM app.
Tracing is done in a non-intrusive way, built on top of OpenTelemetry.
You can choose to export the traces to Traceloop, or to your existing observability stack.
You can use OpenLLMetry whether you use a [supported LLM framework](/openllmetry/tracing/supported#frameworks), or
directly interact with a foundation model API.
```python Python theme={null}
import os
from openai import OpenAI
from traceloop.sdk import Traceloop
from traceloop.sdk.decorators import workflow
Traceloop.init(app_name="joke_generation_service")
@workflow(name="joke_creation")
def create_joke():
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
completion = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Tell me a joke about opentelemetry"}],
)
return completion.choices[0].message.content
```
```js Typescript theme={null}
import * as traceloop from "@traceloop/node-server-sdk";
import OpenAI from "openai";
traceloop.initialize({ appName: "joke_generation_service" })
const openai = new OpenAI();
class MyLLM {
@traceloop.workflow("joke_creation")
async create_joke() {
completion = await openai.chat.completions.create({
model: "gpt-3.5-turbo",
messages: [{"role": "user", "content": "Tell me a joke about opentelemetry"}],
})
return completion.choices[0].message.content
}
```
## Getting Started
Select from the following guides to learn more about how to use OpenLLMetry:
Set up Traceloop Python SDK in your project
Set up Traceloop Javascript SDK in your project
Set up Traceloop Go SDK in your project
Learn how to annotate your code to enrich your traces
Learn how to connect to your existing observability stack
How we secure your data