AgentOps works seamlessly with LlamaIndex, a framework for building context-augmented generative AI applications with LLMs.
LlamaIndex is a framework for building context-augmented generative AI applications with LLMs. AgentOps provides observability into your LlamaIndex applications through automatic instrumentation.
1
Install the AgentOps SDK
pip install agentops
poetry add agentops
2
Install LlamaIndex AgentOps Instrumentation
pip install llama-index-instrumentation-agentops
poetry add llama-index-instrumentation-agentops
3
Add 2 lines of code
Make sure to call agentops.init before calling any openai, cohere, crew, etc models.
from llama_index.core import set_global_handler# NOTE: Feel free to set your AgentOps environment variables (e.g., 'AGENTOPS_API_KEY')# as outlined in the AgentOps documentation, or pass the equivalent keyword arguments# anticipated by AgentOps' AOClient as **eval_params in set_global_handler.set_global_handler("agentops")
Set your API key as an .env variable for easy access.
Here’s a simple example of how to use AgentOps with LlamaIndex:
from llama_index.core import set_global_handlerimport llama_index.core# Set the global handler to AgentOpsset_global_handler("agentops")# Your LlamaIndex application code here# AgentOps will automatically track LLM calls and other operations
