Fix: Tongyi Qianwen model temporary file leak issue.

[WzzP]

• 添加临时文件追踪机制，在类初始化时创建 _temp_files 列表
• 在 _save_base64_to_file 方法中记录创建的临时文件
• 添加 _cleanup_temp_files 方法用于清理临时文件
• 在 _handle_generate_response 和 _handle_generate_stream_response 中使用 try-finally 确保临时文件被清理
• 修复 _upload_file_to_tongyi 方法中的临时文件泄漏问题

这个修复解决了处理 base64 编码的图片/视频和文档上传时临时文件累积的问题，避免长期运行服务时磁盘空间被占用。

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,<0.6.0 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 @WzzP, 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!

此拉取请求旨在解决通义千问模型在处理多模态输入（如 base64 编码的图片/视频和文档）时产生的临时文件泄漏问题。通过引入一套全面的临时文件追踪和清理机制，确保在模型响应生成和文件上传操作完成后，所有创建的临时文件都能被及时删除，从而有效防止服务长期运行导致磁盘空间被不必要地占用。

Highlights

• 临时文件追踪机制: 在 TongyiLargeLanguageModel 类初始化时引入 _temp_files 列表，用于追踪所有创建的临时文件。
• 临时文件记录: _save_base64_to_file 方法现在会将创建的临时文件路径记录到 _temp_files 列表中。
• 统一清理方法: 新增 _cleanup_temp_files 方法，负责遍历并删除 _temp_files 列表中记录的所有临时文件。
• 确保清理: 在 _handle_generate_response 和 _handle_generate_stream_response 方法中，使用 try-finally 结构确保在响应生成完成后，无论成功与否，都会调用 _cleanup_temp_files 进行清理。
• 修复上传文件泄漏: _upload_file_to_tongyi 方法现在也使用 try-finally 块，确保在文件上传到通义模型后，用于上传的临时文件会被删除。

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[gemini-code-assist]

Code Review

本次 PR 旨在修复通义千问模型中的临时文件泄漏问题，做得很好。通过引入 _temp_files 列表来追踪临时文件，并在 _save_base64_to_file 中记录，最后通过 try...finally 结构调用新的 _cleanup_temp_files 方法来确保清理，这个方案是正确且可靠的。

我在代码中发现了一个严重问题和一些可以改进的地方：

1. 在 _upload_file_to_tongyi 方法中，client.files.create 尝试使用一个已经关闭的临时文件对象，这将导致 ValueError。此外，在上传前文件指针没有被重置，可能导致上传空文件。我提供了一个代码建议来修复此问题。
2. 在 _cleanup_temp_files 和 _upload_file_to_tongyi 的 finally 块中，异常被静默地忽略了。虽然注释说明要记录错误，但代码中并没有实现，这可能会掩盖潜在的文件清理失败问题。建议添加日志记录。

[crazywoola]

Please bump the version in the manifest as well.

[WzzP]

Please bump the version in the manifest as well.

It has been changed, please check it