chore(tongyi): update tool_calls retrieval method

[Nov1c444]

Related Issues or Context

Fixes #2521
Fix KeyError: 'tool_calls' by replacing getattr() with .get() for dict-style access on the response message object.

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,<0.6.0 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

[gemini-code-assist]

Summary of Changes

Hello @Nov1c444, 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 enhances the stability of the Tongyi model integration by resolving a KeyError that could arise during the retrieval of tool_calls from LLM responses. The change ensures that the application gracefully handles scenarios where tool_calls might not be present, thereby preventing unexpected crashes and improving the overall reliability of the plugin.

Highlights

• Bug Fix: Addresses a KeyError: 'tool_calls' that occurred when processing responses from the Tongyi model.
• Robustness Improvement: Replaces getattr() with the safer .get() method for dictionary-style access to tool_calls, preventing errors when the attribute might be missing.
• Version Update: Bumps the Tongyi plugin version from 0.1.23 to 0.1.24 to reflect the changes.

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[gemini-code-assist]

Code Review

This pull request includes a version bump for the Tongyi plugin and a crucial fix in the llm.py file. The primary change addresses a potential KeyError by replacing getattr() with the more appropriate .get() method when retrieving tool_calls from the model's response, enhancing the robustness of the code.

[gemini-code-assist]

The change from getattr(response.output.choices[0].message, "tool_calls", []) to response.output.choices[0].message.get("tool_calls", []) is a good improvement. Using .get() is the idiomatic and safer way to access keys in dictionary-like objects, preventing a KeyError if the 'tool_calls' key is absent, as noted in the PR description. This enhances the code's robustness.

Suggested change

	tool_calls=response.output.choices[0].message.get("tool_calls", []),
	tool_calls=response.output.choices[0].message.get("tool_calls", [])