指标参考
客观指标(objective)从数据计算、免费;主观指标(subjective)由 LLM 评判、消耗积分。
工具使用
客观Analyzes tool call patterns including success/failure rates and per-tool breakdowns
积分成本: 免费标签: agent, tool
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成本追踪
客观Tracks model usage, token consumption, and estimated cost per model
积分成本: 免费标签: cost, token
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回答质量评估
主观Uses an LLM judge to evaluate AI assistant response quality across accuracy, efficiency, safety, and communication dimensions
积分成本: 10 积分标签: quality, llm
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提示词质量评估
主观使用评委模型评估用户的提示词质量,包括问题定义、上下文、约束和迭代引导
积分成本: 10 积分标签: quality, prompt
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对话退化检测
客观Detects repetition, loops, and quality degradation trends in AI responses
积分成本: 免费标签: conversation, quality
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知识保持率
客观Detects whether the AI retains information from early conversation turns in later responses
积分成本: 免费标签: conversation, quality
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响应延迟分析
客观Analyzes response times, latency distribution, and session pacing statistics
积分成本: 免费标签: time, agent
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