LCORE-1223: Add e2e tests for rlsapi v1 /infer endpoint

[major]

Description

Add end-to-end test coverage for the rlsapi v1 /infer endpoint, which serves RHEL Lightspeed Command Line Assistant (CLA) clients.

This PR adds 7 high-value test scenarios covering:

• Basic inference with minimal request (question only)
• Inference with full context (systeminfo populated)
• Authentication enforcement (401 for missing/empty auth)
• Input validation (422 for empty/whitespace question)
• Response structure validation (data.text, data.request_id)
• Statelessness validation (unique request_ids)

Type of change

• End to end tests improvement

Tools used to create PR

• Assisted-by: Claude
• Generated by: N/A

Related Tickets & Documents

• Related Issue: LCORE-1223
• Closes: LCORE-1223

Checklist before requesting a review

• I have performed a self-review of my code.
• PR has passed all pre-merge test jobs.
• If it is a core feature, I have added thorough tests.

Summary by CodeRabbit

• New Features

  • Added inference configuration with OpenAI as the default provider and gpt-4o-mini as the default model.

• Tests

  • Expanded end-to-end coverage for the inference API (/infer): new feature scenarios for auth, request validation, response structure, and request_id uniqueness; added test step implementations and updated test suite listing.

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[coderabbitai]

Walkthrough

Adds an inference top-level config (defaults: default_provider: openai, default_model: gpt-4o-mini) to four e2e YAML configs and introduces new end-to-end BDD tests and step definitions for the rlsapi v1 /infer endpoint; also registers the new feature in the test list.

Changes

Cohort / File(s)	Summary
E2E Configuration Files tests/e2e/configuration/library-mode/lightspeed-stack-auth-noop-token.yaml, tests/e2e/configuration/library-mode/lightspeed-stack.yaml, tests/e2e/configuration/server-mode/lightspeed-stack-auth-noop-token.yaml, tests/e2e/configuration/server-mode/lightspeed-stack.yaml	Added top-level inference block with default_provider: openai and default_model: gpt-4o-mini (+3 lines each).
RLS API v1 Feature Tests tests/e2e/features/rlsapi_v1.feature	Added BDD scenarios exercising /v1/infer: auth checks (401), validation (422 for empty questions), response structure assertions, request_id uniqueness, and full-context requests (+89 lines).
RLS API v1 Step Definitions tests/e2e/features/steps/rlsapi_v1.py	Added step implementations: check_rlsapi_response_structure(context), store_rlsapi_request_id(context), check_rlsapi_request_id_different(context) (validations and request_id storage/comparison) (+65 lines).
Test List tests/e2e/test_list.txt	Registered features/rlsapi_v1.feature in test list (+1 line).

Sequence Diagram(s)

(omitted — changes are configuration and tests; no new multi-component control flow implemented)

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

Possibly related PRs

• RSPEED-2229: Add rlsapi v1 endpoint registration and CLA documentation #928: Adds/exercises rlsapi v1 /infer surface and related inference configuration used by these tests.
• feat(rlsapi): implement LLM integration for v1 /infer endpoint #916: Implements default model/LLM retrieval logic for the v1 /infer endpoint that these e2e tests validate.
• LCORE-792: Lightspeed core needs to fully support VertexAI LLM provider #924: Updates inference defaults (default_provider/default_model) and e2e configurations overlapping with these changes.

Suggested labels

ok-to-test

Suggested reviewers

• tisnik
• radofuchs

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly and specifically describes the main change: adding end-to-end tests for the rlsapi v1 /infer endpoint, which aligns with all file modifications in the changeset.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

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✨ Finishing touches

• 📝 Generate docstrings

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[coderabbitai]

Actionable comments posted: 1

🤖 Fix all issues with AI agents

In `@tests/e2e/features/steps/rlsapi_v1.py`:
- Around line 30-56: In both store_rlsapi_request_id and
check_rlsapi_request_id_different, tighten validation so request_id is a
non-empty string: after extracting response_json and before assigning
context.stored_request_id (in store_rlsapi_request_id) assert that
response_json["data"]["request_id"] is an instance of str and not empty, and in
check_rlsapi_request_id_different assert the same for current_request_id before
comparing; use clear assertion messages and keep referencing response_json,
current_request_id, and context.stored_request_id to locate the checks.

🧹 Nitpick comments (1)

tests/e2e/features/rlsapi_v1.feature (1)

65-73: Consider consolidating with the basic inference scenario.

This scenario validates the same assertions as "Basic inference with minimal request" (lines 8-16): both check for a 200 status code and valid response structure. Unless there's a specific reason to test with different question content, consider removing this scenario to reduce test duplication.