Install the SDK

The ARMS SDK is the Python package elsai-arms 3.0.3. It is not on public PyPI. Install it from the Elsai index:

pip install --extra-index-url https://arms-packages.elsaifoundry.ai/root/elsai-arms/ elsai-arms==3.0.3

That also installs the zero-code CLI elsai-arms-instrument. Confirm:

elsai-arms-instrument --help

Copy-paste smoke test

Use this to confirm the SDK is installed, an LLM call is auto-instrumented, and a trace reaches ARMS. Create an ingest key in ARMS under Settings → API Keys.

pip install --extra-index-url https://arms-packages.elsaifoundry.ai/root/elsai-arms/ elsai-arms==3.0.3 openai

export OPENAI_API_KEY="sk-..."
export ELSAI_OBSERVE_API_KEY="<ingest-api-key>"

Save as test_arms_sdk.py and run python test_arms_sdk.py:

import os

import elsai_arms

elsai_arms.init(
    application_name="my-service",
    environment="production",
    otlp_endpoint="https://observe.elsai.ai/api/ingest",
    otlp_headers={"x-api-key": os.environ["ELSAI_OBSERVE_API_KEY"]},
)

from openai import OpenAI

client = OpenAI()
completion = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "What is LLM observability?"}],
)
print(completion.choices[0].message.content)

Ingest is https://observe.elsai.ai/api/ingest with header x-api-key. For a local ARMS instance, change otlp_endpoint to http://localhost:3000/api/ingest. If you omit otlp_endpoint, the SDK prints to the console instead of ARMS. Open Monitoring → Telemetry and look for application my-service.

Next

• Instrument your app
• Send telemetry to ARMS
• Configuration