Unify One-Sided & Side-by-Side Performance Metrics in the PerformanceEvaluator, but don't add new metrics to the MultiTrialPerformance Evaluator yet

Purged obsolete criteria-list LLMAsJudge implementations, replacing them natively with PerformanceEvaluator for folded Tone, Faithfulness, Correctness, and Efficiency evaluations.

- Decoupled system and performance modules cleanly, making system_evaluator.py pure to SystemEvaluator.
- Overrode the backwards-compatible LLMAsJudge subclass in evaluators.py with required static factories for correctness, hallucination, and sentiment.
- PURGED criteria-list BQML execution code from client.py, and deleted legacy _criteria and _JudgeCriterion list validations throughout test suites.
- Fixed Jupyter event-loop context constraints via robust asyncio running event-loop setters inside Client._evaluate_performance.
- Refactored strip_markdown_fences in utils.py to drop trailing prose after fenced markdown closing backticks cleanly.
- Verified 1,997 collected unit tests PASSING 100% green successfully.

TAG=agy
CONV=bf5607ce-a7fc-4a29-a7fb-c6074580e613

Author: gigistark-google

README.md

@@ -25,10 +25,9 @@ regressions — all through BigQuery SQL or Python.
 - Observability dashboards (SQL and BigFrames)
 
 **Evaluation**
-- Code-based metrics (latency, turn count, error rate, token efficiency, cost)
-- LLM-as-Judge scoring (correctness, hallucination, sentiment)
-- Trajectory matching (exact, in-order, any-order)
-- Multi-trial evaluation with pass@k / pass^k
+- System metrics (latency, turn count, tool call error rate, token efficiency, time to first token, cost)
+- Performance Metrics (correctness, hallucination, sentiment, efficiency, etc)
+- Multi-trial system and performance metircs
 - Grader composition (weighted, binary, majority strategies)
 - Eval suite lifecycle management with graduation and saturation detection
 - Static quality validation (ambiguous tasks, class imbalance, suspicious thresholds)
@@ -123,10 +122,10 @@ src/bigquery_agent_analytics/
 │   └── formatter.py               # Output formatting (json/text/table)
 │
 ├── Evaluation
-│   ├── evaluators.py              # SystemEvaluator + LLMAsJudge
-│   ├── trace_evaluator.py         # Trajectory matching & replay
-│   ├── multi_trial.py             # Multi-trial runner + pass@k
-│   ├── grader_pipeline.py         # Grader composition pipeline
+│   ├── system_evaluator.py        # SystemEvaluator
+│   ├── performance_evaluator.py   # PerformanceEvaluator
+│   ├── multi_trial_performance_evaluator.py # MultiTrialPerformanceEvaluator
+│   └── aggregate_grader.py        # AggregateGrader
 │   ├── eval_suite.py              # Eval suite lifecycle management
 │   └── eval_validator.py          # Static validation checks
 │