feat: Add multi-package support and CI/CD workflows

[yinxulai]

• Add GitHub Actions workflows for automated testing and release
• Implement matrix build strategy for three package types:
  • qiniu-models: AI inference services only
  • qiniu-tools: Cloud storage management tools only
  • qiniu: Complete package with both AI and storage features
• Add separate AI model provider implementation (qiniu_ai.py)
• Update provider configurations for modular architecture
• Support automatic package generation and release asset upload

[niupilot]

🔍 PR Review: Multi-package Support and CI/CD Workflows

Overview

This PR introduces a sophisticated matrix build strategy to generate three distinct package variants from a single codebase. The implementation is well-architected and addresses a real need for modular distribution.

---

✅ Strengths

1. Excellent Modular Architecture

• Clean separation of AI models (qiniu-models) and storage tools (qiniu-tools)
• Smart provider file renaming: qiniu.py → qiniu_ai.py for better clarity
• Maintains backward compatibility with complete package (qiniu)

2. Robust CI/CD Implementation

• Matrix strategy efficiently handles 3 package types across 2 Python versions (6 total combinations)
• Proper file exclusions prevent unwanted artifacts in packages
• Dynamic manifest modification using yq is clean and reliable

3. Good Security Practices

• No hardcoded secrets or credentials
• Proper use of GitHub Actions context variables
• Safe file operations with appropriate error handling

---

⚠️ Issues & Concerns

🔴 Critical Issues

1. Incomplete Manifest Updates (.github/workflows/release.yml:62-67, .github/workflows/runnable.yml:53-58)

   # Missing reference updates in manifest.yaml
   plugins:
     models:
     - provider/qiniu.yaml  # ❌ Should be qiniu_ai.yaml for AI packages

   Impact: Packages will fail to load due to missing provider files
   Fix: Update manifest references when renaming providers

2. Inconsistent Package Descriptions (provider/qiniu_tools.yaml:6)

   description:
     en_US: Official Qiniu Cloud Dify plugin providing comprehensive AI inference services and cloud storage management...
     # ❌ Tools-only package shouldn't mention AI inference

🟡 Medium Priority Issues

3. Workflow Job Naming Inconsistency

   • release.yml uses build job name
   • runnable.yml uses test job name
   • Suggestion: Use consistent naming like build-and-test

4. Missing Error Handling (.github/workflows/release.yml:85-95)

   if [ "${{ matrix.keep_models }}" = "false" ]; then
     rm -rf models/  # ❌ No check if directory exists

   Fix: Add existence checks before deletion operations

5. Hardcoded Binary URLs (.github/workflows/release.yml:40)

   curl -L -o /tmp/dify-cli/dify-plugin-linux-amd64 https://github.com/langgenius/dify-plugin-daemon/releases/download/0.2.0/dify-plugin-linux-amd64

   Suggestion: Use latest release or make version configurable

🟢 Minor Improvements

6. Documentation Gaps

   • README.md doesn't mention the new package variants
   • No installation instructions for specific package types
   • Missing build/development documentation for matrix strategy

7. Optimization Opportunities

   • Duplicate yq installation in both workflows (consider action)
   • Could cache downloaded CLI tools between jobs
   • rsync operations could be optimized with better exclusion patterns

---

📋 Specific Recommendations

Fix Manifest References

# In workflow files, after renaming files:
+ if [ "${{ matrix.keep_models }}" = "true" ]; then
+   yq eval '.plugins.models[0] = "provider/qiniu_ai.yaml"' -i manifest.yaml
+ fi

Update Package Descriptions

Create package-specific descriptions in the matrix configuration:

- type: "kodo"
  description: "Cloud storage management tools for Qiniu Cloud"
  description_zh: "七牛云存储管理工具"

Add Safety Checks

if [ -d models/ ] && [ "${{ matrix.keep_models }}" = "false" ]; then
  rm -rf models/
fi

---

🎯 Architecture Review

Excellent Design Decisions:

• Matrix strategy eliminates code duplication
• Clean provider separation enables focused packages
• Dynamic configuration approach is maintainable

Future Considerations:

• Consider using GitHub Actions composite actions for common steps
• Package validation tests could verify correct files are included/excluded
• Automated testing of each package variant would strengthen CI

---

📚 Documentation Consistency

Issues Found:

• README.md installation section doesn't mention package variants: README.md:44-68
• Provider descriptions still reference full functionality in specialized packages
• No developer documentation for the matrix build system

Recommendations:

• Add section explaining the three package types and their use cases
• Update installation instructions to mention variant selection
• Document the build matrix strategy for contributors

---

🔧 Suggested Next Steps

1. High Priority: Fix manifest reference updates in workflows
2. High Priority: Update package descriptions to match their actual scope
3. Medium Priority: Add error handling for file operations
4. Low Priority: Update README.md with package variant information

---

💡 Overall Assessment

This is a well-architected PR that successfully implements a complex requirement. The matrix build strategy is elegant and the modular approach is sound. With the critical manifest reference fixes, this will provide excellent value for users who need specialized packages.

Recommendation: ✅ Approve after addressing the manifest reference issues

---

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[gemini-code-assist]

Summary of Changes

Hello @yinxulai, 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 significantly enhances the project's architecture by introducing a multi-package structure and automating the build and release processes. The changes aim to provide more granular control over package distribution and streamline development workflows through robust CI/CD pipelines.

Highlights

• Multi-package Architecture: Introduces support for three distinct package types: qiniu-models (AI inference), qiniu-tools (cloud storage), and qiniu (complete package), enabling modular distribution.
• Automated CI/CD Workflows: Implements GitHub Actions for automated testing and release processes, including a matrix build strategy for the new package types and automatic package generation/release asset upload.
• AI Model Provider Refactoring: Separates the AI model provider implementation into a dedicated file (qiniu_ai.py) and updates related configurations for a more modular design.

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[gemini-code-assist]

Code Review

This pull request introduces multi-package support for the Qiniu provider by splitting it into AI-only, tools-only, and a complete package, and adds CI/CD workflows. My review of the configuration changes found that while the labels for the new packages have been updated, the descriptions have not been fully aligned with the new package structure. I've left comments on these inconsistencies, as correcting them will improve clarity for users.

[gemini-code-assist]

While changing the label to 七牛云 AI is correct for the AI-only package, the description on lines 6-7 is now inconsistent. It still mentions 'cloud storage management' and related features. To align with the multi-package structure, please update the description to only include AI inference services.

For example:

• en_US: Official Qiniu Cloud Dify plugin providing comprehensive AI inference services. Supports multiple LLM models including GPT-OSS、deepseek、GLM、Kimi、Qwen series.
• zh_Hans: 七牛云官方 Dify 插件，提供全面的 AI 推理服务。支持 GPT-OSS、deepseek、GLM、Kimi、Qwen 系列等多种大语言模型。

[gemini-code-assist]

The new label 七牛云存储 is appropriate for the tools-only package. However, the description on lines 8-9 should be updated. It currently includes 'AI inference services', which is not part of this package. Please revise the description to focus solely on cloud storage management capabilities.

For example:

• en_US: Official Qiniu Cloud Dify plugin providing cloud storage management. Offers complete file management capabilities such as file upload, bucket operations, and content retrieval.
• zh_Hans: 七牛云官方 Dify 插件，提供云存储管理功能。提供完整的文件管理能力，包括文件上传、存储空间操作和内容获取等功能。