Summary
The eval/ module already has 15 files with a comprehensive evaluation framework. Audit what exists, identify gaps, and enhance — do NOT replace.
Current State (DO NOT modify these unless fixing bugs)
eval/__init__.py (177 lines) — exports
eval/accuracy.py (199 lines) — AccuracyEval
eval/base.py (115 lines) — BaseEval
eval/criteria.py (238 lines) — EvalCriteria
eval/grader.py (326 lines) — Grader
eval/judge.py (781 lines) — JudgeEval
eval/loop.py (239 lines) — EvalLoop
eval/media.py (479 lines) — MediaEval
eval/package.py (168 lines) — packaging
eval/performance.py (158 lines) — PerformanceEval
eval/protocols.py (300 lines) — EvalProtocol
eval/reliability.py (196 lines) — ReliabilityEval
eval/results.py (735 lines) — EvalResult
eval/tokens.py (299 lines) — TokenEval
eval/utils.py (100 lines) — utilities
Requirements
Step 1: Audit
- Review ALL existing eval/ files
- Document what each evaluator does and its API
- Identify gaps: what eval capabilities are missing?
Step 2: Fill Gaps (likely needed)
- EvalSuite — orchestrator that runs multiple evals and aggregates results
- CLI integration —
praisonai eval run command support
- Comparison eval — compare two agent outputs side-by-side
- Safety eval — detect harmful/biased outputs
- Unit tests — comprehensive tests for existing evaluators
Step 3: Add Tests
Create tests/unit/eval/ directory with tests for:
- Each evaluator class (accuracy, reliability, performance, judge, media)
- EvalSuite orchestration
- EvalResult aggregation
- Protocol compliance
Architecture Rules
- Use
from praisonaiagents._logging import get_logger for logging
- Follow existing
EvalProtocol in eval/protocols.py for new evaluators
- All optional deps (if any) must be lazy-imported
- Naming:
XEval for evaluator classes, EvalX for infrastructure
- Do NOT rewrite existing files — only ADD new files or fix bugs in existing ones
Verification
# All existing tests must pass
pytest tests/unit/ -q --timeout=30
# Import test
python -c "
from praisonaiagents.eval import AccuracyEval, ReliabilityEval, PerformanceEval
print('Eval imports OK')
"
# Real agentic test
python -c "
from praisonaiagents import Agent
from praisonaiagents.eval import AccuracyEval
agent = Agent(name='test', instructions='Answer factual questions')
result = agent.start('What is the capital of France?')
print('Agent result:', result)
"Success Criteria
Replaces stale PR #976.
Summary
The
eval/module already has 15 files with a comprehensive evaluation framework. Audit what exists, identify gaps, and enhance — do NOT replace.Current State (DO NOT modify these unless fixing bugs)
Requirements
Step 1: Audit
Step 2: Fill Gaps (likely needed)
praisonai eval runcommand supportStep 3: Add Tests
Create
tests/unit/eval/directory with tests for:Architecture Rules
from praisonaiagents._logging import get_loggerfor loggingEvalProtocolineval/protocols.pyfor new evaluatorsXEvalfor evaluator classes,EvalXfor infrastructureVerification
Success Criteria
Replaces stale PR #976.