Skip to main content

OpenInference guardrails Instrumentation

pypi

Python auto-instrumentation library for LLM applications implemented with Guardrails

Guards are fully OpenTelemetry-compatible and can be sent to an OpenTelemetry collector for monitoring, such as Arize Phoenix or Arize AX.

Installation

pip install openinference-instrumentation-guardrails

Quickstart

This quickstart shows you how to instrument your guardrailed LLM application

Install required packages.

pip install openinference-instrumentation-guardrails guardrails-ai arize-phoenix opentelemetry-sdk opentelemetry-exporter-otlp

Start Phoenix 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. (Phoenix does not send data over the internet. It only operates locally on your machine.)

python -m phoenix.server.main serve

Install the TwoWords validator that's used in the Guard.

guardrails hub install hub://guardrails/two_words

Set up GuardrailsInstrumentor to trace your guardrails application and sends the traces to Phoenix at the endpoint defined below.

from openinference.instrumentation.guardrails import GuardrailsInstrumentor
from opentelemetry import trace as trace_api
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
import os

os.environ["OPENAI_API_KEY"] = "YOUR_KEY_HERE"

endpoint = "http://127.0.0.1:6006/v1/traces"
tracer_provider = trace_sdk.TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))
trace_api.set_tracer_provider(tracer_provider)

GuardrailsInstrumentor().instrument()

Set up a simple example of LLM call using a Guard

from guardrails import Guard
from guardrails.hub import TwoWords
import openai

guard = Guard().use(
    TwoWords(),
)

response = guard(
    llm_api=openai.chat.completions.create,
    prompt="What is another name for America?",
    model="gpt-3.5-turbo",
    max_tokens=1024,
)

print(response)

More Info

Release files for openinference-instrumentation-guardrails 0.1.21

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for openinference-instrumentation-guardrails 0.1.21
File Size Uploaded
openinference_instrumentation_guardrails-0.1.21.tar.gz 9.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for openinference-instrumentation-guardrails 0.1.21
File Interpreter ABI Platform
openinference_instrumentation_guardrails-0.1.21-py3-none-any.whl Python 3 none any Details

Total release size: 20.9 kB

Release files / openinference_instrumentation_guardrails-0.1.21.tar.gz

Download URL openinference_instrumentation_guardrails-0.1.21.tar.gz
Size 9.7 kB
Tags Source
SHA-256 checksum
How to use checksums
6d2b7d15b04426d1f60506cbfa7cdd456aaa3ce893551c08a859ee1df3e988b8
BLAKE2b-256 checksum
How to use checksums
c047f6ec676d7e9a8ee8376274de4868f2a497ba2a8bbcd4451781702ac7e0fa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 9, 2026.

Transparency log

Release files / openinference_instrumentation_guardrails-0.1.21-py3-none-any.whl

Download URL openinference_instrumentation_guardrails-0.1.21-py3-none-any.whl
Size 11.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
50049bf6102bda10e64f4704b8b24ee79750775be6120bd8e0eb101f8d7989ec
BLAKE2b-256 checksum
How to use checksums
202992888736a156c0572fa4ebfa1b1225dcd29f148f48bfd0f11b5dd663250a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 9, 2026.

Transparency log

Release history Release notifications | RSS feed

0.1.24

2 release files

0.1.23

2 release files

0.1.22

2 release files

This release

0.1.21 This release

2 release files

0.1.19

2 release files

0.1.18

2 release files

0.1.17

2 release files

0.1.15

2 release files

0.1.14

2 release files

0.1.13

2 release files

0.1.12

2 release files

0.1.11

2 release files

0.1.10

2 release files

0.1.9

2 release files

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page