Introduce Evaluator Experiment (#3133)

* feat: add exchanged messages in LLMCallCompletedEvent

* feat: add GoalAlignment metric for Agent evaluation

* feat: add SemanticQuality metric for Agent evaluation

* feat: add Tool Metrics for Agent evaluation

* feat: add Reasoning Metrics for Agent evaluation, still in progress

* feat: add AgentEvaluator class

This class will evaluate Agent' results and report to user

* fix: do not evaluate Agent by default

This is a experimental feature we still need refine it further

* test: add Agent eval tests

* fix: render all feedback per iteration

* style: resolve linter issues

* style: fix mypy issues

* fix: allow messages be empty on LLMCallCompletedEvent

* feat: add Experiment evaluation framework with baseline comparison

* fix: reset evaluator for each experiement iteraction

* fix: fix track of new test cases

* chore: split Experimental evaluation classes

* refactor: remove unused method

* refactor: isolate Console print in a dedicated class

* fix: make crew required to run an experiment

* fix: use time-aware to define experiment result

* test: add tests for Evaluator Experiment

* style: fix linter issues

* fix: encode string before hashing

* style: resolve linter issues

* feat: add experimental folder for beta features (#3141)

* test: move tests to experimental folder
This commit is contained in:
Lucas Gomide
2025-07-14 10:06:45 -03:00
committed by GitHub
parent 3ada4053bd
commit 1b6b2b36d9
27 changed files with 2512 additions and 16 deletions

View File

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from typing import Dict, Any
from rich.console import Console
from rich.table import Table
from rich.panel import Panel
from crewai.experimental.evaluation.experiment.result import ExperimentResults
class ExperimentResultsDisplay:
def __init__(self):
self.console = Console()
def summary(self, experiment_results: ExperimentResults):
total = len(experiment_results.results)
passed = sum(1 for r in experiment_results.results if r.passed)
table = Table(title="Experiment Summary")
table.add_column("Metric", style="cyan")
table.add_column("Value", style="green")
table.add_row("Total Test Cases", str(total))
table.add_row("Passed", str(passed))
table.add_row("Failed", str(total - passed))
table.add_row("Success Rate", f"{(passed / total * 100):.1f}%" if total > 0 else "N/A")
self.console.print(table)
def comparison_summary(self, comparison: Dict[str, Any], baseline_timestamp: str):
self.console.print(Panel(f"[bold]Comparison with baseline run from {baseline_timestamp}[/bold]",
expand=False))
table = Table(title="Results Comparison")
table.add_column("Metric", style="cyan")
table.add_column("Count", style="white")
table.add_column("Details", style="dim")
improved = comparison.get("improved", [])
if improved:
details = ", ".join([f"{test_identifier}" for test_identifier in improved[:3]])
if len(improved) > 3:
details += f" and {len(improved) - 3} more"
table.add_row("✅ Improved", str(len(improved)), details)
else:
table.add_row("✅ Improved", "0", "")
regressed = comparison.get("regressed", [])
if regressed:
details = ", ".join([f"{test_identifier}" for test_identifier in regressed[:3]])
if len(regressed) > 3:
details += f" and {len(regressed) - 3} more"
table.add_row("❌ Regressed", str(len(regressed)), details, style="red")
else:
table.add_row("❌ Regressed", "0", "")
unchanged = comparison.get("unchanged", [])
table.add_row("⏺ Unchanged", str(len(unchanged)), "")
new_tests = comparison.get("new_tests", [])
if new_tests:
details = ", ".join(new_tests[:3])
if len(new_tests) > 3:
details += f" and {len(new_tests) - 3} more"
table.add_row(" New Tests", str(len(new_tests)), details)
missing_tests = comparison.get("missing_tests", [])
if missing_tests:
details = ", ".join(missing_tests[:3])
if len(missing_tests) > 3:
details += f" and {len(missing_tests) - 3} more"
table.add_row(" Missing Tests", str(len(missing_tests)), details)
self.console.print(table)