fix(models/gemini): lock plugin dependencies for reproducible installs

[WH-2099]

Related Issues or Context

2764

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, 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 focuses on enhancing the stability and reproducibility of the Gemini plugin by meticulously locking its Python dependencies. The changes involve updating the plugin's version, refining the dependency generation process to use a more explicit uv export command, and updating a wide array of package versions to ensure a consistent and reliable environment for the plugin's operation. This ensures that the plugin can be installed and run with the exact same dependency tree across different environments.

Highlights

• Dependency Locking and Reproducibility: The plugin's dependencies have been locked to specific versions in requirements.txt to ensure reproducible installations, aligning with best practices for dependency management.
• Updated Dependency Generation Command: The pyproject.toml file now reflects the use of uv export with specific flags (--format requirements.txt --no-dev --no-hashes --frozen --no-emit-project) for generating the requirements.txt file, replacing the older uv pip compile command.
• Plugin Version Bump: The Gemini plugin's version has been incremented from 0.7.17 to 0.7.18 in manifest.yaml.
• Dependency Updates: Numerous direct and transitive dependencies within requirements.txt have been updated to their latest compatible versions, including anyio, certifi, cryptography, google-api-core, google-generativeai, pydantic, and others, along with the addition of colorama and removal of setuptools.

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[gemini-code-assist]

Code Review

This pull request aims to lock plugin dependencies for reproducible installs by using uv.lock. The changes to .gitignore to track the lock file and updating the generation command in pyproject.toml are appropriate. However, the generated requirements.txt file contains several package versions that appear to be invalid and do not exist on PyPI, which would break the installation. This critical issue needs to be addressed.