AgentOps integrates with Llama Stack via its python client to provide observability into applications that leverage it. Llama Stack has comprehensive documentation available as well as a great quickstart guide. You can use this guide to setup the Llama Stack server and client or alternatively use our Docker compose file.

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Adding AgentOps to Llama Stack applications

1

Install the AgentOps SDK

pip install agentops
2

Install the Llama Stack Client

pip install llama-stack-client
3

Add 3 lines of code

Make sure to call agentops.init before calling any openai, cohere, crew, etc models.
import agentops
agentops.init(<INSERT YOUR API KEY HERE>)
Set your API key as an .env variable for easy access.
AGENTOPS_API_KEY=<YOUR API KEY>
Read more about environment variables in Advanced Configuration
4

Run your 🦙🥞 application

Execute your program and visit 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

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Examples

An example notebook is available here to showcase how to use the Llama Stack client with AgentOps.