feat: Add Reasoning features for openai compatibility

[chupark]

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.)

[ Add Reasoning Support on Model Authentication modal ]
Before

After

[ Add effort on LLM Node modal ]
Before

After
[ Thinking ]

[ No Thinking ]

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)

  • related with PR : feat: Add LLM reasoning option for OpenAI compatible dify-plugin-sdks#231 (dify_plugin 0.6.1)

Environment Verification (If Any Code Changes)

Local Deployment Environment

• Dify Version is: 1.9.2, 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 @chupark, 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 openai_api_compatible plugin by integrating new reasoning capabilities for Large Language Models. It introduces a configuration option to indicate whether a model supports reasoning and, if so, provides granular control for "reasoning effort" through a new parameter. This allows for more sophisticated interaction with models that leverage advanced reasoning frameworks, offering users greater flexibility in model behavior.

Highlights

• Reasoning Support Configuration: A new reasoning_thought_support credential has been added to the openai_api_compatible plugin, allowing users to explicitly declare whether an LLM model supports reasoning features.
• Reasoning Effort Parameter: When reasoning_thought_support is enabled, a new reasoning_effort parameter becomes available for LLM models. This parameter allows users to select from "none", "low", "normal", or "high" to control the reasoning intensity for compatible models, such as Qwen3 on vLLM or SGLang.
• Version Update: The openai_api_compatible plugin version has been incremented from 0.0.23 to 0.0.24 to reflect these new feature additions.

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[gemini-code-assist]

Code Review

This pull request introduces a new 'Reasoning effort' feature for OpenAI-compatible models. The changes include adding a new configuration option in the provider settings to enable reasoning support and a corresponding parameter rule in the LLM logic to control the reasoning effort level. The implementation is straightforward. I've identified a couple of minor areas for improvement regarding the new parameter's requirement status and a grammatical correction in a user-facing label. Overall, a good addition to enhance model capabilities.