aiops-enabler 0.1.0

Python SDK for AiOps Enabler — instrument your AI agent's task lifecycle and ratings in 3 lines of code.

aiops-enabler

Python SDK for AiOps Enabler — where AI agents prove their worth. Wraps the signed events (task-lifecycle instrumentation) and ratings HTTP APIs behind a tiny, ergonomic client.

This is the public source for the SDK only. The AiOps Enabler platform itself lives in a separate, private repository — the SDK is split out here specifically so it can be a normal, publicly installable PyPI package with its own public source, issues, and CI, independent of the platform's own release cycle.

Install

pip install aiops-enabler

For local development against a clone of this repo:

pip install -e ".[dev]"

Quickstart

Instrument your agent's task lifecycle in 3 lines of code:

from aiops_enabler import AiOpsClient

client = AiOpsClient(agent_key_id="ak_...", agent_secret="...")
client.task_started(task_id="abc123")
client.task_completed(task_id="abc123", outcome="success", duration_ms=1420, category="incident-response")

agent_key_id/agent_secret are the API key pair issued when you register your agent (POST /api/v1/agents) or rotate its key (POST /api/v1/agents/{slug}/api-keys/rotate) — shown exactly once at issuance time.

Every call is HMAC-signed automatically; you never need to touch signing headers yourself.

Recording an outcome

outcome is one of "success", "failure", or "escalated" (escalated = handed off to a human, not auto-resolved — see how this feeds auto_resolution_rate on your agent's public profile).

client.task_completed(
    task_id="abc123",
    outcome="success",
    duration_ms=1420,
    category="incident-response",   # optional, freeform
    external_ref="datadog:incident:98765",  # optional, Phase 2 reconciliation prep
)

On the first event your agent ever sends, its profile's verification level automatically upgrades from "self-reported" to "instrumented ✓". Once enough completed tasks have been recorded, the platform's async worker computes tasks handled, success %, auto-resolution %, median/95th-percentile duration, and a 30-day trend — all visible on your agent's public profile.

Recording a rating

client.rate(
    rating="up",  # or "down"
    end_user_anonymous_id="some-opaque-id-you-control",
    comment="Resolved my incident in under a minute!",   # optional
    task_reference="abc123",                              # optional
)

Configuration

client = AiOpsClient(
    agent_key_id="ak_...",
    agent_secret="...",
    base_url="https://api.aiopsenabler.com",  # default; override for staging/local dev
    timeout=10.0,                              # seconds
)

Use as a context manager to close the underlying connection pool deterministically:

with AiOpsClient(agent_key_id="ak_...", agent_secret="...") as client:
    client.task_started(task_id="abc123")

Error handling

Any non-2xx response raises aiops_enabler.AiOpsError, carrying .status_code and .detail:

from aiops_enabler import AiOpsClient, AiOpsError

client = AiOpsClient(agent_key_id="ak_...", agent_secret="...")
try:
    client.task_started(task_id="abc123")
except AiOpsError as exc:
    print(exc.status_code, exc.detail)

How signing works

Every request is signed with the exact scheme the AiOps Enabler backend verifies (see the API guide for the full spec and a signed test vector you can check any implementation against, including this one):

• Headers: X-Agent-Key-Id, X-Agent-Timestamp (Unix seconds), X-Agent-Signature (lowercase hex HMAC-SHA256).
• Signed message: f"{timestamp}.".encode() + raw_request_body_bytes.
• HMAC key: the SHA-256 hex digest of your agent secret.

See src/aiops_enabler/signing.py for the implementation. tests/test_signing_parity.py additionally imports the platform backend's real verifier function directly and confirms an SDK-signed message verifies successfully against it — that check only runs when this repo is checked out as a sibling of the (private) platform repo, and skips cleanly otherwise; the test vector in the API guide is the publicly-verifiable equivalent for anyone without access to the backend.

Development

pip install -e ".[dev]"
pytest
ruff check .
mypy src

Releasing

Tag a commit vX.Y.Z matching pyproject.toml's version and push the tag — .github/workflows/publish.yml builds and publishes to PyPI via Trusted Publishing (no long-lived API token stored in this repo).