> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agentops.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Llama Stack
> Llama Stack is a framework from Meta AI for building Agentic applications.
AgentOps integrates with Llama Stack via its python [client](https://github.com/meta-llama/llama-stack-client-python) to provide observability into applications that leverage it.
Llama Stack has comprehensive [documentation](https://llama-stack.readthedocs.io/) available as well as a great [quickstart](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html) guide. You can use this guide to setup the Llama Stack server and client or alternatively use our Docker [compose](https://github.com/AgentOps-AI/agentops/blob/main/examples/llama_stack_client_examples/docker-compose.yml) file.
## Adding AgentOps to Llama Stack applications
```bash pip theme={null}
pip install agentops
```
```bash poetry theme={null}
poetry add agentops
```
```bash pip theme={null}
pip install llama-stack-client
```
```bash poetry theme={null}
poetry add llama-stack-client
```
Make sure to call `agentops.init` before calling any `openai`, `cohere`, `crew`, etc models.
```python python theme={null}
import agentops
agentops.init()
```
Set your API key as an `.env` variable for easy access.
```python .env theme={null}
AGENTOPS_API_KEY=
```
Read more about environment variables in [Advanced Configuration](/v1/usage/advanced-configuration)
Execute your program and visit [app.agentops.ai/drilldown](https://app.agentops.ai/drilldown) to observe your waterfall! 🕵️
After your run, AgentOps prints a clickable url to console linking directly to your session in the Dashboard
## Examples
An example notebook is available [here](https://github.com/AgentOps-AI/agentops/blob/main/examples/llama_stack_client_examples/notebook.ipynb) to showcase how to use the Llama Stack client with AgentOps.