[PR #1325] fix(usage): correct completion_tokens counting error #1835

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opened 2026-02-16 10:24:07 -05:00 by yindo · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/langgenius/dify-official-plugins/pull/1325
Author: @jinrenjie
Created: 7/22/2025
Status: 🔄 Open

Base: mainHead: main


📝 Commits (2)

  • d52c90c fix(usage): correct completion_tokens counting error
  • bec2af8 chore(plugin): update plugin version

📊 Changes

2 files changed (+2 additions, -2 deletions)

View changed files

📝 models/vertex_ai/manifest.yaml (+1 -1)
📝 models/vertex_ai/models/llm/llm.py (+1 -1)

📄 Description

Related Issues or Context

Currently, the vertex_ai plugin calculates completion_tokens based on the assistant_prompt_message, which does not meet expectations.

This PR contains Changes to Non-Plugin

  • Documentation
  • Other

This PR contains Changes to Non-LLM Models Plugin

  • I have Run Comprehensive Tests Relevant to My Changes

This PR contains Changes to LLM Models Plugin

  • My Changes Affect Message Flow Handling (System Messages and User→Assistant Turn-Taking)
  • My Changes Affect Tool Interaction Flow (Multi-Round Usage and Output Handling, for both Agent App and Agent Node)
  • My Changes Affect Multimodal Input Handling (Images, PDFs, Audio, Video, etc.)
  • My Changes Affect Multimodal Output Generation (Images, Audio, Video, etc.)
  • My Changes Affect Structured Output Format (JSON, XML, etc.)
  • My Changes Affect Token Consumption Metrics
  • My Changes Affect Other LLM Functionalities (Reasoning Process, Grounding, Prompt Caching, etc.)
  • Other Changes (Add New Models, Fix Model Parameters etc.)

Version Control (Any Changes to the Plugin Will Require Bumping the Version)

  • I have Bumped Up the Version in Manifest.yaml (Top-Level Version Field, Not in Meta Section)

Dify Plugin SDK Version

  • I have Ensured dify_plugin>=0.3.0,<0.5.0 is in requirements.txt (SDK docs)

Environment Verification (If Any Code Changes)

Local Deployment Environment

  • Dify Version is: , I have Tested My Changes on Local Deployment Dify with a Clean Environment That Matches the Production Configuration.

SaaS Environment

  • I have Tested My Changes on cloud.dify.ai with a Clean Environment That Matches the Production Configuration

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/langgenius/dify-official-plugins/pull/1325 **Author:** [@jinrenjie](https://github.com/jinrenjie) **Created:** 7/22/2025 **Status:** 🔄 Open **Base:** `main` ← **Head:** `main` --- ### 📝 Commits (2) - [`d52c90c`](https://github.com/langgenius/dify-official-plugins/commit/d52c90c5ef13b4c92df2a8d43d2781489881fba2) fix(usage): correct completion_tokens counting error - [`bec2af8`](https://github.com/langgenius/dify-official-plugins/commit/bec2af82e75d830a0dba3859af5a3c2873d7c94c) chore(plugin): update plugin version ### 📊 Changes **2 files changed** (+2 additions, -2 deletions) <details> <summary>View changed files</summary> 📝 `models/vertex_ai/manifest.yaml` (+1 -1) 📝 `models/vertex_ai/models/llm/llm.py` (+1 -1) </details> ### 📄 Description ## Related Issues or Context Currently, the vertex_ai plugin calculates completion_tokens based on the assistant_prompt_message, which does not meet expectations. <!-- ⚠️ NOTE: This repository is for Dify Official Plugins only. For community contributions, please submit to https://github.com/langgenius/dify-plugins instead. - Link Related Issues if Applicable: #issue_number - Or Provide Context about Why this Change is Needed --> ## This PR contains Changes to *Non-Plugin* <!-- Put an `x` in all the boxes that apply by replacing [ ] with [x] For example: - [x] Documentation --> - [ ] Documentation - [ ] Other ## This PR contains Changes to *Non-LLM Models Plugin* - [ ] I have Run Comprehensive Tests Relevant to My Changes <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> ## This PR contains Changes to *LLM Models Plugin* <!-- LLM Models Test Example: --> <!-- https://github.com/langgenius/dify-official-plugins/blob/main/.assets/test-examples/llm-plugin-tests/llm_test_example.md --> - [ ] My Changes Affect Message Flow Handling (System Messages and User→Assistant Turn-Taking) <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> - [ ] My Changes Affect Tool Interaction Flow (Multi-Round Usage and Output Handling, for both Agent App and Agent Node) <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> - [ ] My Changes Affect Multimodal Input Handling (Images, PDFs, Audio, Video, etc.) <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> - [ ] My Changes Affect Multimodal Output Generation (Images, Audio, Video, etc.) <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> - [ ] My Changes Affect Structured Output Format (JSON, XML, etc.) <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> - [x] My Changes Affect Token Consumption Metrics <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> - [ ] My Changes Affect Other LLM Functionalities (Reasoning Process, Grounding, Prompt Caching, etc.) <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> - [ ] Other Changes (Add New Models, Fix Model Parameters etc.) <!-- 📷 Include Screenshots/Videos Demonstrating the Fix, New Feature, or the Behavior Before/After Breaking Changes. --> ## Version Control (Any Changes to the Plugin Will Require Bumping the Version) - [x] I have Bumped Up the Version in Manifest.yaml (Top-Level `Version` Field, Not in Meta Section) <!-- ⚠️ NOTE: Version Format: MAJOR.MINOR.PATCH - MAJOR (0.x.x): Reserved for Significant architectural changes or incompatible API modifications - MINOR (x.0.x): For New feature additions while maintaining backward compatibility - PATCH (x.x.0): For Backward-compatible bug fixes and minor improvements - Note: Each Version Component (MAJOR, MINOR, PATCH) Can Be 2 Digits, e.g., 10.11.22 --> ## Dify Plugin SDK Version - [ ] I have Ensured `dify_plugin>=0.3.0,<0.5.0` is in requirements.txt ([SDK docs](https://github.com/langgenius/dify-plugin-sdks/blob/main/python/README.md)) ## Environment Verification (If Any Code Changes) <!-- ⚠️ NOTE: At Least One Environment Must Be Tested. --> ### Local Deployment Environment - [x] Dify Version is: <!-- Specify Your Version (e.g., 1.2.0) -->, I have Tested My Changes on Local Deployment Dify with a Clean Environment That Matches the Production Configuration. <!-- - Python Virtual Env Matching Manifest.yaml & requirements.txt - No Breaking Changes in Dify That May Affect the Testing Result --> ### SaaS Environment - [ ] I have Tested My Changes on cloud.dify.ai with a Clean Environment That Matches the Production Configuration <!-- - Python Virtual Env Matching Manifest.yaml & requirements.txt --> --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
yindo added the pull-request label 2026-02-16 10:24:07 -05:00
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Reference: langgenius/dify-official-plugins#1835