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@yelloyu yelloyu commented Oct 23, 2025

Related Issues or Context

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

@dosubot dosubot bot added the size:XS This PR changes 0-9 lines, ignoring generated files. label Oct 23, 2025
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Summary of Changes

Hello @yelloyu, 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 introduces a crucial bug fix for the Tongyi LLM model, specifically addressing how it processes tool parameters. The change ensures that the system can robustly handle scenarios where a tool parameter might lack a description, preventing runtime errors and enhancing the overall stability and reliability of tool integration within the model. This improves the model's resilience to variations in tool definitions.

Highlights

  • Tongyi Tool Parameter Description Handling: This pull request fixes an issue in the Tongyi LLM model where tool parameter descriptions were expected to always be present. It now gracefully handles cases where a description might be missing by defaulting to an empty string, preventing potential errors.
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@dosubot dosubot bot added the bug Something isn't working label Oct 23, 2025
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Code Review

This pull request correctly fixes a potential KeyError that could occur if a tool's parameter properties are missing a description. The change is a good improvement for robustness. I've added one suggestion to further refine the formatting of the generated description string to avoid a minor formatting issue.

desc = p_val["description"]
desc = p_val.get("description") or ""
if "enum" in p_val:
desc += f"; Only accepts one of the following predefined options: [{', '.join(p_val['enum'])}]"
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medium

While the change on the previous line correctly handles a missing description, this line can introduce a leading semicolon in the description string if the original description was empty (e.g., '; Only accepts...'). To improve the formatting, we can add the semicolon separator conditionally only when a description already exists.

Suggested change
desc += f"; Only accepts one of the following predefined options: [{', '.join(p_val['enum'])}]"
desc += ('; ' if desc else '') + f"Only accepts one of the following predefined options: [{', '.join(p_val['enum'])}]"

@crazywoola
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Please bump the version in the mainifest and link related PR in the description.

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3 participants