az-ai-healthcheck

Lightweight health checks for Azure OpenAI and Azure AI Vision — no heavy SDKs required for OpenAI, and an optional extra for Vision.

• Minimal data-plane calls with tiny payloads and short timeouts
• Clear, predictable behavior (always returns HealthResult)
• Small install footprint; add Vision via optional extras
• Perfect for application startup probes and CI/CD smoke tests

Installation

Core (OpenAI only):

pip install az-ai-healthcheck

With Vision support:

pip install "az-ai-healthcheck[vision]"

Quickstart

Set your credentials (example using environment variables), then call the checks.

import os
from az_ai_healthcheck import check_azure_openai, check_azure_ai_vision

res_aoai = check_azure_openai(
    endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
    api_key=os.environ["AZURE_OPENAI_API_KEY"],
    api_version="2024-02-15-preview",
    deployment="gpt-4o-mini",
)
print(res_aoai)

res_vision = check_azure_ai_vision(
    endpoint=os.environ["AZURE_VISION_ENDPOINT"],
    api_key=os.environ["AZURE_VISION_API_KEY"],
)
print(res_vision)

Sample output

# HealthResult full repr examples (your values will vary)

print(res_aoai)
# HealthResult(provider='azure_openai',
#              endpoint='https://my-endpoint.openai.azure.com',
#              ok=True,
#              status_code=200,
#              message='Azure OpenAI reachable. Credentials and deployment appear valid.')

print(res_vision)
# HealthResult(provider='azure_ai_vision',
#              endpoint='https://my-cv.cognitiveservices.azure.com',
#              ok=False,
#              status_code=401,
#              message='Azure Vision authentication/permission failed (401/403). Verify API key and endpoint.')

Usage

Azure OpenAI (Chat Completions) health check

from az_ai_healthcheck import check_azure_openai

res = check_azure_openai(
    endpoint="https://my-endpoint.openai.azure.com",
    api_key="***",
    api_version="2024-02-15-preview",
    deployment="gpt-4o",
    timeout=10.0,
)
print(res.ok, res.status_code, res.message)

Behavior:

• 200 -> ok=True
• else (401/403 and other non-2xx, or network errors) -> ok=False with details

Azure AI Vision (Image Analysis) health check

from az_ai_healthcheck import check_azure_ai_vision

res = check_azure_ai_vision(
    endpoint="https://my-cv.cognitiveservices.azure.com",
    api_key="***",
    timeout=10.0,
)
print(res.ok, res.status_code, res.message)

• Uses ImageAnalysisClient.analyze with VisualFeatures.CAPTION.
• Sends an in-memory PNG. use_min_size_image=True (default) uses 50x50 to reduce 400s.
• use_min_size_image=False can trigger 400 (e.g., InvalidImageSize) → returns ok=False with details.
• 404 is treated as failure with guidance (often wrong endpoint/path; occasionally an image too small to analyze).

Notes

• Azure OpenAI uses requests only; no SDK dependency.
• Azure Vision requires azure-ai-vision-imageanalysis (install via extra).
• No custom User-Agent header is set (keep requests minimal).

Troubleshooting

• Azure OpenAI 404: API key may be valid, but the endpoint/path, api-version, or deployment is likely incorrect. Verify the endpoint format (no extra path), the api-version, and the deployment name.
• Azure AI Vision 404: Often indicates a wrong endpoint/path. In some cases a too-small test image can also lead to errors—try the default use_min_size_image=True.
• 401/403: Permission/auth errors. Check keys, role assignments, and resource-level access.

CI/CD and startup probes

Use these checks in your pipelines or app startup to fail fast with clear guidance.

def app_startup_probe():
    from az_ai_healthcheck import check_azure_openai
    res = check_azure_openai(endpoint=..., api_key=..., api_version=..., deployment=...)
    if not res.ok:
        raise RuntimeError(f"OpenAI health check failed: {res.message}")