> ## Documentation Index
> Fetch the complete documentation index at: https://docs.keywordsai.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart

> Get started with the keywordsai-tracing Python SDK

## Installation

<Note>
  **Python Requirement**: This package requires **Python 3.9** or later.
</Note>

```bash theme={"system"}
pip install keywordsai-tracing
```

## Configure credentials

```python theme={"system"}
import os
from keywordsai_tracing import KeywordsAITelemetry

os.environ["KEYWORDSAI_API_KEY"] = "your-api-key"
os.environ["KEYWORDSAI_BASE_URL"] = "https://api.keywordsai.co/api"

k_tl = KeywordsAITelemetry()
```

## Trace a workflow and task

```python theme={"system"}
from keywordsai_tracing.decorators import workflow, task

@workflow(name="hello_world")
def hello_world():
    @task(name="compute")
    def compute():
        return "Hello Tracing"
    return compute()

print(hello_world())
```

## Class methods usage

```python theme={"system"}
from openai import OpenAI
from keywordsai_tracing import KeywordsAITelemetry
from keywordsai_tracing.decorators import workflow, task

k_tl = KeywordsAITelemetry()
client = OpenAI()

@workflow(name="joke_agent", method_name="run")
class JokeAgent:
    @task(name="joke_creation")
    def create_joke(self):
        completion = client.chat.completions.create(
            model="gpt-4o-mini",
            messages=[{"role": "user", "content": "Tell me a joke about tracing"}],
        )
        return completion.choices[0].message.content

    def run(self):
        return self.create_joke()

print(JokeAgent().run())
```

## Next Steps

* Learn the [workflow decorator](/tracing-sdk/decorators/workflow)
* Learn the [task decorator](/tracing-sdk/decorators/task)
* Explore the [Client API](/tracing-sdk/client/get-client)
* Configure [Instrumentation](/tracing-sdk/instrumentation/overview)