Fix type annotation errors in llm_generator.py

[hargunsiingh]

Added explicit list[DatasetCase] type annotations to the cases variable in both LlamaDatasetGenerator.generate() and OpenAIDatasetGenerator.generate() methods to satisfy Mypy type checking.

Closes #67

Description

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Summary by CodeRabbit

• Chores
  • Improved internal type annotations for dataset handling to strengthen code clarity and tooling support.
  • These changes are internal only—no runtime behavior, API/signature changes, or user-facing effects were introduced.

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Walkthrough

Added explicit list[DatasetCase] type annotations to two local cases variables in src/agentunit/generators/llm_generator.py to address mypy warnings; no runtime logic or behavior changed.

Changes

Cohort / File(s)	Summary
Type Annotations src/agentunit/generators/llm_generator.py	Annotated two local cases variables as list[DatasetCase] where previously assigned with cases = [], resolving mypy "need type annotation" warnings.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and concisely summarizes the main change: adding type annotations to fix errors in llm_generator.py.
Description check	✅ Passed	The description includes a clear summary, references the linked issue #67, and identifies the changes made. However, most template sections (Type of Change, Testing, Code Quality checkboxes) are unchecked and left incomplete.
Linked Issues check	✅ Passed	The PR directly addresses the objective in issue #67 by adding explicit list[DatasetCase] type annotations to the cases variable in both LlamaDatasetGenerator and OpenAIDatasetGenerator methods.
Out of Scope Changes check	✅ Passed	All changes are directly scoped to addressing the type annotation requirement in issue #67; no unrelated modifications to other files or functionality are present.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

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[aviralgarg05]

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Docstrings generation - SUCCESS
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Actionable comments posted: 0

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⚠️ Outside diff range comments (1)

src/agentunit/generators/llm_generator.py (1)

310-316: ⚠️ Potential issue | 🟡 Minor

Pre-existing issue: raise appears to be outside the except block.

This is outside the scope of this PR, but the raise at line 316 is at the same indentation level as except, placing it outside the exception handler. Compare with the LlamaDatasetGenerator (lines 163-170) where raise is correctly indented inside the except block.

If a JSONDecodeError occurs, this would cause RuntimeError: No active exception to re-raise after the except block completes.

🐛 Suggested fix (can be addressed in a follow-up PR)

         except json.JSONDecodeError:
             logger.error(
                 "Failed to parse OpenAI response JSON. Raw response:\n%s",
                 response_text,
                 exc_info=True,
             )
-        raise
+            raise