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Run the arthur-observability-sdk unit tests. Use when you want to verify SDK logic without building a wheel or spinning up external services.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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Arthur onboarding sub-skill — Step 4: Analyze the target repository (language, framework, existing instrumentation). Writes detection results to .arthur-engine.env.
Arthur onboarding sub-skill — Step 8: Configure an LLM provider for continuous evals (OpenAI, Anthropic, Gemini, Bedrock, or Vertex AI). Reads/writes .arthur-engine.env.
Arthur onboarding sub-skill — Step 9: Recommend and configure continuous LLM evals for the Arthur task. Reads credentials and eval provider from .arthur-engine.env.
Arthur onboarding sub-skill — Step 5: Instrument the target repository with Arthur tracing (Python SDK, Mastra TS, or OpenInference). Reads detection results from .arthur-engine.env.
Arthur onboarding sub-skill — Step 2: Ensure Arthur GenAI Engine is available (local install or remote). Reads/writes .arthur-engine.env.
Onboard an agentic application to Arthur GenAI Engine. Guides through engine connection, task setup, code instrumentation, trace verification, and eval configuration. Invoke from any agentic application repository.
| name | test-unit |
| description | Run the arthur-observability-sdk unit tests. Use when you want to verify SDK logic without building a wheel or spinning up external services. |
| allowed-tools | Bash, Read |
Unit tests cover Arthur initialization, env-var resolution, prompt management, context helpers, and telemetry setup. They run entirely in-process — no wheel build, no network calls.
python/src/arthur_genai_client/ must exist (it is gitignored). If missing:
./scripts/generate_openapi_client.sh generate python
./scripts/generate_openapi_client.sh install python
From the arthur-observability-sdk/python/ directory:
uv run pytest tests -m unit_tests -v
uv run pytest tests/test_client.py -v
uv run pytest tests/test_client.py::test_arthur_requires_task_or_service_name -v
uv run pytest tests -m unit_tests -k "env" -v
@pytest.mark.unit_tests (via pytestmark at the module level).OTLPSpanExporter boundary or use InMemorySpanExporter — no real OTLP endpoint needed.arthur_genai_client and fail with ModuleNotFoundError, the generated client is missing (python/src/arthur_genai_client/). Run the generate-client skill first.