feat: add tests for guardrails with huggingface detectors

[adolfo-ab]

This PR adds a new test class with tests for the GuardrailsOrchestrator paired with HuggingFace detectors.

Description

These tests verify that the GuardrailsOrchestrator works as expected when using HuggingFace detectors
Steps:
- Deploy an LLM (Qwen2.5-0.5B-Instruct) using the vLLM SR.
- Deploy the GuardrailsOrchestrator.
- Deploy a prompt injection detector using the HuggingFace SR.
- Check that the detector works when we have an unsuitable input.
- Check that the detector works when we have a harmless input (no detection).

Also includes some utils functions and minor improvements.

How Has This Been Tested?

Running on PSI.

Merge criteria:

• The commits are squashed in a cohesive manner and have meaningful messages.
• Testing instructions have been added in the PR body (for PRs involving changes that are not immediately obvious).
• The developer has manually tested the changes and verified that the changes work

[coderabbitai]

📝 Walkthrough

Summary by CodeRabbit

• New Features

  • Added support for testing prompt injection detection using Hugging Face-based detectors alongside built-in detectors.
  • Introduced new test scenarios and fixtures to validate multiple detector backends and configurations.

• Bug Fixes

  • Improved clarity and consistency in test input naming and payload construction.

• Tests

  • Expanded test coverage to include prompt injection detection and multiple detector orchestration setups.
  • Updated test payload helper functions and improved test structure for maintainability.

• Chores

  • Updated model and image references to newer versions for improved compatibility and performance.

Walkthrough

The changes extend and modularize test fixtures and test classes for the Guardrails Orchestrator to support both built-in and Hugging Face detectors. New fixtures, routes, and runtime support are introduced for Hugging Face-based detectors, and the test suite is expanded to cover prompt injection detection scenarios with improved payload handling.

Changes

File(s)	Change Summary
tests/model_explainability/guardrails/conftest.py	Refactored and extended fixtures to support both built-in and Hugging Face detectors, added new configmaps, inference service, runtime, and route fixtures for prompt injection detection.
tests/model_explainability/guardrails/test_guardrails.py	Updated tests to use new payload helper, improved input naming, added tests for Hugging Face detectors, and expanded negative/positive detection scenarios.
tests/model_explainability/guardrails/utils.py	Replaced get_chat_payload with get_chat_detections_payload to support detectors and additional payload parameters.
tests/model_explainability/lm_eval/conftest.py	Updated model identifier in lmevaljob_hf fixture from "Qwen/Qwen2.5-0.5B" to "Qwen/Qwen2.5-0.5B-Instruct".
utilities/constants.py	Updated image reference for QWEN_MINIO_CONFIG in the MinIo.PodConfig class.

Possibly related PRs

• feat: add tests for guardrails builtin detectors #357: Adds tests and fixtures for built-in detectors in Guardrails Orchestrator; directly related as the current PR expands this to include Hugging Face detector support and modularizes the fixture setup.

Suggested labels

Verified, lgtm-by-mwaykole, lgtm-by-dbasunag, ModelServing

Suggested reviewers

• mwaykole
• sheltoncyril

✨ Finishing Touches

• 📝 Generate Docstrings

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[adolfo-ab]

/verified

[coderabbitai]

Actionable comments posted: 2

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between db67d52 and 7c5a058.

📒 Files selected for processing (5)

• tests/model_explainability/guardrails/conftest.py (8 hunks)
• tests/model_explainability/guardrails/test_guardrails.py (7 hunks)
• tests/model_explainability/guardrails/utils.py (1 hunks)
• tests/model_explainability/lm_eval/conftest.py (1 hunks)
• utilities/constants.py (1 hunks)

🧰 Additional context used

🪛 Pylint (3.3.7)

tests/model_explainability/guardrails/test_guardrails.py

[refactor] 156-156: Too many arguments (7/5)

(R0913)

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[refactor] 156-156: Too many positional arguments (7/5)

(R0917)

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[refactor] 201-201: Too many arguments (8/5)

(R0913)

---

[refactor] 201-201: Too many positional arguments (8/5)

(R0917)

---

[refactor] 229-229: Too many arguments (8/5)

(R0913)

---

[refactor] 229-229: Too many positional arguments (8/5)

(R0917)

🔇 Additional comments (4)

utilities/constants.py (1)

274-274: LGTM!

The MinIO image update to support HuggingFace LLM models aligns with the PR's objective.

tests/model_explainability/guardrails/utils.py (1)

15-41: Well-structured enhancement to support detector configurations!

The new get_chat_detections_payload function properly extends the payload construction with model and detector support, maintaining clear typing and documentation.

tests/model_explainability/lm_eval/conftest.py (1)

38-38: Good choice using the instruction-tuned model variant!

The Qwen2.5-0.5B-Instruct model is more appropriate for this fixture since it includes system instructions and chat templates.

tests/model_explainability/guardrails/test_guardrails.py (1)

1-249: Excellent test coverage for both detector backends!

The test suite properly validates both built-in regex and HuggingFace prompt injection detectors with appropriate positive and negative test cases. The static analysis warnings about too many arguments can be safely ignored as they're standard for pytest fixtures.

[kpunwatk]

PR lgtm!

[github-actions]

Status of building tag latest: success.
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