OpenInference LlamaIndex Instrumentation
Python auto-instrumentation library for LlamaIndex.
These traces are fully OpenTelemetry compatible and can be sent to an OpenTelemetry collector for viewing, such as Arize Phoenix or Arize AX.
Installation
pip install openinference-instrumentation-llama-index
Compatibility
| llama-index version | openinference-instrumentation-llama-index version |
|---|---|
| >=0.12.3 | >=4.0 |
| >=0.11.0 | >=3.0 |
| >=0.10.43 | >=2.0, <3.0 |
| >=0.10.0, <0.10.43 | >=1.0, <0.2 |
| >=0.9.14, <0.10.0 | 0.1.3 |
Quickstart
Install packages needed for this demonstration.
python -m pip install --upgrade \
openinference-instrumentation-llama-index \
opentelemetry-sdk \
opentelemetry-exporter-otlp \
"opentelemetry-proto>=1.12.0" \
arize-phoenix
Start the Phoenix app in the background as a collector. By default, it listens on http://localhost:6006. You can visit the app via a browser at the same address.
The Phoenix app does not send data over the internet. It only operates locally on your machine.
python -m phoenix.server.main serve
The following Python code sets up the LlamaIndexInstrumentor to trace llama-index and send the traces to Phoenix at the endpoint shown below.
from openinference.instrumentation.llama_index import LlamaIndexInstrumentor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
endpoint = "http://127.0.0.1:6006/v1/traces"
tracer_provider = trace_sdk.TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))
LlamaIndexInstrumentor().instrument(tracer_provider=tracer_provider)
To demonstrate tracing, we'll use LlamaIndex below to query a document.
First, download a text file.
import tempfile
from urllib.request import urlretrieve
from llama_index.core import SimpleDirectoryReader
url = "https://raw.githubusercontent.com/Arize-ai/phoenix-assets/main/data/paul_graham/paul_graham_essay.txt"
with tempfile.NamedTemporaryFile() as tf:
urlretrieve(url, tf.name)
documents = SimpleDirectoryReader(input_files=[tf.name]).load_data()
Next, we'll query using OpenAI. To do that you need to set up your OpenAI API key in an environment variable.
import os
os.environ["OPENAI_API_KEY"] = "<your openai key>"
Now we can query the indexed documents.
from llama_index.core import VectorStoreIndex
query_engine = VectorStoreIndex.from_documents(documents).as_query_engine()
print(query_engine.query("What did the author do growing up?"))
Visit the Phoenix app at http://localhost:6006 to see the traces.
More Info
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file openinference_instrumentation_llama_index-4.4.5.tar.gz.
File metadata
- Download URL: openinference_instrumentation_llama_index-4.4.5.tar.gz
- Upload date:
- Size: 63.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/6.1.0 CPython/3.13.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b516901345dda3607cff91d31ca6320093f3f13f181a3501302b05c17969690
|
|
| MD5 |
6ee8e7c461fc11feb86b60c86d2058e0
|
|
| BLAKE2b-256 |
3db261666f3a4342577fb52328a017aa375f9fcc8c1ce8f0ecc233f13708ffe1
|
Provenance
The following attestation bundles were made for openinference_instrumentation_llama_index-4.4.5.tar.gz:
Publisher:
publish.yaml on Arize-ai/openinference
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
openinference_instrumentation_llama_index-4.4.5.tar.gz -
Subject digest:
7b516901345dda3607cff91d31ca6320093f3f13f181a3501302b05c17969690 - Sigstore transparency entry: 2370803698
- Sigstore integration time:
-
Permalink:
Arize-ai/openinference@5b9114cdca81af4250531d4e4d8b8eecf7907192 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/Arize-ai
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yaml@5b9114cdca81af4250531d4e4d8b8eecf7907192 -
Trigger Event:
workflow_dispatch
-
Statement type:
File details
Details for the file openinference_instrumentation_llama_index-4.4.5-py3-none-any.whl.
File metadata
- Download URL: openinference_instrumentation_llama_index-4.4.5-py3-none-any.whl
- Upload date:
- Size: 29.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/6.1.0 CPython/3.13.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d34dd6d887a55f68002f532b29f69aa13110155e5c1ea5b97ed469cce1c667f5
|
|
| MD5 |
1d9aff72b099bf773db61d8168b303ad
|
|
| BLAKE2b-256 |
2ac9a72b6947713ea736f13fd4a9181a56748735d478c4f42abc34933c986426
|
Provenance
The following attestation bundles were made for openinference_instrumentation_llama_index-4.4.5-py3-none-any.whl:
Publisher:
publish.yaml on Arize-ai/openinference
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
openinference_instrumentation_llama_index-4.4.5-py3-none-any.whl -
Subject digest:
d34dd6d887a55f68002f532b29f69aa13110155e5c1ea5b97ed469cce1c667f5 - Sigstore transparency entry: 2370803750
- Sigstore integration time:
-
Permalink:
Arize-ai/openinference@5b9114cdca81af4250531d4e4d8b8eecf7907192 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/Arize-ai
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yaml@5b9114cdca81af4250531d4e4d8b8eecf7907192 -
Trigger Event:
workflow_dispatch
-
Statement type:
