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50 lines
2.2 KiB
Plaintext
50 lines
2.2 KiB
Plaintext
---
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title: Data Analysis
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---
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The **Overview -- Data Analysis** section displays metrics such as usage, active users, and LLM (Language Learning Model) invocation costs. This allows you to continuously improve the effectiveness, engagement, and cost-efficiency of your application operations. We will gradually provide more useful visualization capabilities, so please let us know what you need.
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***
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**Total Messages**
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Reflects the total number of daily interactions between users and AI. Each time the AI answers a user's question, it counts as one message. Prompt orchestration and debugging sessions are not included.
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**Active Users**
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The number of unique users who have had effective interactions with the AI, defined as having more than one question-and-answer exchange. Prompt orchestration and debugging sessions are not included.
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**Average Session Interactions**
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Reflects the number of continuous interactions per session user. For example, if a user has a 10-round Q\&A with the AI, it is counted as 10. This metric reflects user engagement. It is available only for conversational applications.
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**Token Output Speed**
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The number of tokens output per second, indirectly reflecting the model's generation rate and the application's usage frequency.
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**User Satisfaction Rate**
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The number of likes per 1,000 messages, reflecting the proportion of users who are very satisfied with the answers.
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**Token Usage**
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Reflects the daily token expenditure for language model requests by the application, useful for cost control.
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**Total Conversations**
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Daily AI conversation count; each new conversation session counts as one. A single conversation session may contain multiple message exchanges; messages related to prompt engineering and debugging are not included.
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{/*
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Contributing Section
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DO NOT edit this section!
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It will be automatically generated by the script.
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*/}
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---
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[Edit this page](https://github.com/langgenius/dify-docs/edit/main/en/guides/monitoring/analysis.mdx) | [Report an issue](https://github.com/langgenius/dify-docs/issues/new?template=docs.yml)
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