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新增用户体验跟踪能力。 - RunSummary 新增 abandoned_cases 和 abandonment_rate 字段 - 新增 fluency 规则：LLM 评估对话流畅度和自然性（0-10 分） - 流畅度评估考虑：自然性、重复性、连贯性、响应质量 - 新增 10 项单元测试（676 tests passed） 注：放弃率的实际计算逻辑需要在引擎中集成，本 PR 提供数据模型和规则基础设施。 Closes #26
27 lines
907 B
Python
27 lines
907 B
Python
"""Evaluation rule implementations."""
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# Import all rules to populate the registry.
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from agenteval.evaluation.rules.base import EvalRule, RuleResult, get_rule, list_rule_types, register_rule
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from agenteval.evaluation.rules.fluency import FluencyRule
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from agenteval.evaluation.rules.json_schema import JsonSchemaRule
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from agenteval.evaluation.rules.keyword import KeywordMatchRule
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from agenteval.evaluation.rules.llm_score import LlmScoreRule
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from agenteval.evaluation.rules.response_time import ResponseTimeRule
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from agenteval.evaluation.rules.safety import SafetyRule
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from agenteval.evaluation.rules.semantic import SemanticSimilarityRule
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__all__ = [
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"EvalRule",
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"RuleResult",
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"get_rule",
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"list_rule_types",
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"register_rule",
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"FluencyRule",
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"JsonSchemaRule",
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"KeywordMatchRule",
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"LlmScoreRule",
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"ResponseTimeRule",
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"SafetyRule",
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"SemanticSimilarityRule",
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]
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