Arize has first-class support for LlamaIndex applications. After instrumentation, you will have a full trace of every part of your LLM application, including input, embeddings, retrieval, functions, and output messages.
We follow a standardized format for how a trace data should be structured using openinference, which is our open source package based on OpenTelemetry.
Use our code block below to get started using our LlamaIndexInstrumentor.
The following code snippet showcases how to automatically instrument your LLM application.
import os# Import open-telemetry dependenciesfrom opentelemetry import trace as trace_apifrom opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporterfrom opentelemetry.sdk import trace as trace_sdkfrom opentelemetry.sdk.resources import Resourcefrom opentelemetry.sdk.trace.export import SimpleSpanProcessor# Import the automatic instrumentor from OpenInferencefrom openinference.instrumentation.llama_index import LlamaIndexInstrumentor# Set the Space and API keys as headers for authenticationheaders =f"space_key={ARIZE_SPACE_KEY},api_key={ARIZE_API_KEY}"os.environ['OTEL_EXPORTER_OTLP_TRACES_HEADERS']= headers# Set resource attributes for the name and version for your applicationresource =Resource( attributes={"model_id":"llamaindex-llm-tracing", # Set this to any name you'd like for your app"model_version":"1.0", # Set this to a version number string })# Define the span processor as an exporter to the desired endpointendpoint ="https://otlp.arize.com/v1"span_exporter =OTLPSpanExporter(endpoint=endpoint)span_processor =SimpleSpanProcessor(span_exporter=span_exporter)# Set the tracer providertracer_provider = trace_sdk.TracerProvider(resource=resource)tracer_provider.add_span_processor(span_processor=span_processor)trace_api.set_tracer_provider(tracer_provider=tracer_provider)# Finish automatic instrumentationLlamaIndexInstrumentor().instrument()
Now start asking questions to your LLM app and watch the traces being collected by Arize. For more in-detail demonstration, check our Colab tutorial: