Skip to main content

Corporate Governance

Administrator Logs​

Administrator logs are files or database records that document the activities and operations of administrators within a system. They are typically used for monitoring, auditing, and analyzing administrator behavior to ensure system security, compliance, and performance.

Information Provided by Administrator Logs​

Administrator logs can provide the following key information:

  • Account Information
    Records the administrator account that performed the operation, helping to trace which user carried out specific actions.

  • IP Address
    Logs the IP address used by the administrator during login or operations, aiding in identifying the source of the activity.

  • Client Information
    Records the type of client used by the administrator (e.g., browser, operating system), helping to understand the operational environment.

  • Operation Details
    Provides detailed records of specific actions performed by the administrator, such as login, configuration changes, or file deletions.

  • Operation Time
    Logs the exact time of the operation, facilitating time-series analysis and troubleshooting.

Functions of Administrator Logs​

  • Security Monitoring: Administrator logs help detect unauthorized access or suspicious activities, enhancing system security.
  • Compliance Auditing: Log records provide evidence for compliance requirements, ensuring administrator actions align with company or industry regulations.
  • Problem Troubleshooting: The recorded time and operation details in administrator logs assist in tracing and quickly resolving issues.

File Logs​

File logs are systems that document user actions related to file operations within the system. They provide detailed records of various file-related activities, such as uploading, downloading, modifying, and deleting files. File logs are crucial for maintaining system security, auditing compliance, and tracking user behavior.

Information Provided by File Logs​

File logs can provide the following key information:

  • Account Records
    Logs the user account that performed the operation, helping to trace which user carried out specific actions.

  • IP Address
    Records the IP address used by the user during login or operations, aiding in identifying the source of the activity.

  • Client Information
    Logs the type of client used by the user (e.g., browser, operating system), helping to understand the operational environment.

  • Operation Details
    Provides detailed records of specific actions performed by the user, such as file uploads, downloads, modifications, or deletions.

  • Operation Time
    Logs the exact time of the operation, facilitating time-series analysis and troubleshooting.

  • File Information
    Records details about the files involved in the operation, such as file name, file path, and file space.

Functions of File Logs​

  • Security Monitoring: File logs help detect illegal operations or unauthorized access, enhancing system security.
  • Compliance Auditing: File logs provide evidence for compliance checks, ensuring file operations adhere to regulations.
  • Behavior Tracking: By recording user actions, file logs enable tracing file changes and identifying responsible parties.
  • Problem Troubleshooting: The recorded time and operation details in file logs assist in analyzing and resolving file operation-related system issues.

Billing Details​

In the SERVICEME system, users can view detailed billing information related to Token usage. The line chart at the top of the interface displays Token-related value changes over time, providing a clear visualization of usage trends. The table below records detailed information about Token consumption for various models during specific time periods, including associated usage types and costs, making it easy to understand the billing details for each Token usage.

Information Provided by the Billing Details Page​

The billing details interface provides the following information:

  • Model Group: Displays the group category to which the model belongs.

  • Model Set: Indicates the collection name to which the model belongs.

  • Model: Shows the specific model used.

  • Channel: Identifies the pathway through which the model operates.

  • API Key Name: Displays the name of the API key used to access the model.

  • Input Token: Records the number of Tokens input into the model.

  • Input Token (Cache Hit): Shows the number of Tokens input when the cache is hit.

  • Output Token: Displays the number of Tokens consumed by the model to produce output results.

  • Token Cost: Lists the cost incurred for using Tokens.

  • Time: Logs the exact time of the model operation.

  • Actions: Provides options for viewing log details and other executable actions.

Functions of Billing Details​

  • Real-Time Monitoring of Token Consumption: Administrators can view Token consumption in real time and use the line chart to assess usage trends.
  • Cost Tracking: Facilitates tracking the cost of each operation, helping administrators manage expenses.
  • Log Viewing: The action column provides a log detail viewing feature, allowing users to delve into the specifics of each model operation for troubleshooting.

Data Center​

The data center offers comprehensive statistics and analysis of intelligent assistant usage and user conversation content, helping users better understand the effectiveness and operational status of AI, thereby optimizing management and decision-making.

The data center supports data statistics from the perspectives of assistant dimension, system API dimension, and time dimension.

Assistant Analysis​

This section focuses on quantifying the usage of various AI assistants, including:

  • Number of Users: The number of unique users who have interacted with the assistant.
  • Number of Conversations: The total number of interactions between users and the assistant, measuring usage activity.
  • Token Consumption: Measures the resource consumption of model calls during assistant operations.
  • Assistant Usage Ranking: Ranks all assistants by usage frequency to identify high-frequency assistants.
  • Token Consumption Ranking: Statistics on Token usage by each assistant, aiding resource optimization and cost control.

Conversation Analysis​

This section delves into the content of conversations between users and assistants, providing insights into user needs and interaction patterns, including:

  • High-Frequency Word Analysis: Extracts keywords from user conversations to identify focus areas and demand trends.
  • Conversation Logs: Allows viewing of historical conversation details for quality review, issue troubleshooting, and content auditing.

💡 Tip: Conversation statistics and assistant usage rankings are updated daily; other information, such as conversation logs, is updated in real time.