LlamaIndex Workflows

LlamaIndex Workflows are a subset of the LlamaIndex package specifically designed to support agent development.

Our LlamaIndexInstrumentor automatically captures traces for LlamaIndex Workflows agents. If you've already enabled that instrumentor, you do not need to complete the steps below.

We recommend using llama_index >= 0.11.0 .

Install

pip install openinference-instrumentation-llama_index

Setup

Initialize the LlamaIndexInstrumentor before your application code. This instrumentor will trace both LlamaIndex Workflows calls, as well as calls to the general LlamaIndex package.

# Import open-telemetry dependencies
from arize.otel import register

# Setup OTel via our convenience function
tracer_provider = register(
    space_id = "your-space-id", # in app space settings page
    api_key = "your-api-key", # in app space settings page
    project_name = "your-project-name", # name this to whatever you would like
)

from openinference.instrumentation.llama_index import LlamaIndexInstrumentor
LlamaIndexInstrumentor().instrument(tracer_provider=tracer_provider)

Run LlamaIndex Workflows

By instrumenting LlamaIndex, spans will be created whenever an agent is invoked and will be sent to the Phoenix server for collection.

Observe

Now that you have tracing setup, all invocations of chains will be streamed to Arize for observability and evaluation.

Resources

• Example project
• OpenInference package