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Summary of Changes

Hello @luispater, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request primarily enhances the system's ability to manage and track usage data by introducing export and import capabilities for request statistics. It also refines the authentication indexing mechanism to provide a more stable and consistent identifier for authentication records. Additionally, the project's documentation has been updated to include a new integration.

Highlights

  • Usage Data Management: Introduced new API endpoints for exporting and importing usage statistics, allowing for backup and migration of historical request data. The import functionality includes logic to merge snapshots and deduplicate entries.
  • Stable Authentication Indexing: Refactored the authentication index (AuthIndex) from a monotonically increasing uint64 to a stable string derived from a hash of authentication metadata (filename, API key, or ID). This change improves consistency and reliability of auth indexing across restarts.
  • Documentation Update: Added 'Quotio' to the list of projects based on CLIProxyAPI in both the English and Chinese README files.
  • Type Refactoring: Updated the AuthIndex field across multiple internal and SDK components (e.g., usageReporter, RequestDetail, Record) to reflect the change from uint64 to string.

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@luispater luispater merged commit 6186069 into router-for-me:main Dec 26, 2025
2 checks passed
@luispater luispater deleted the plus branch December 26, 2025 04:14
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Code Review

This pull request introduces a valuable feature for exporting and importing usage statistics, which is great for backup and migration purposes. The implementation of the new API endpoints and the logic for merging statistics snapshots seems solid. Additionally, the refactoring of AuthIndex from a numeric ID to a stable, hash-based string is a significant improvement for consistency and reliability across restarts. I've found one area with minor code duplication that could be refactored for better maintainability. Overall, these are great changes.

Comment on lines +456 to +463
func normaliseTokenStats(tokens TokenStats) TokenStats {
if tokens.TotalTokens == 0 {
tokens.TotalTokens = tokens.InputTokens + tokens.OutputTokens + tokens.ReasoningTokens
}
if tokens.TotalTokens == 0 {
tokens.TotalTokens = tokens.InputTokens + tokens.OutputTokens + tokens.ReasoningTokens + tokens.CachedTokens
}
return tokens

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medium

The logic in this new normaliseTokenStats function is identical to the logic within the existing normaliseDetail function (lines 447-452). This introduces code duplication. To improve maintainability, you could refactor normaliseDetail to use this new normaliseTokenStats function, which would centralize the token normalization logic.

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2 participants