### What problem does this PR solve?

Move test cases only - CI still runs tests under sdk/python

### Type of change

- [x] Refactoring

### What problem does this PR solve?

This PR introduces Pydantic-based validation for the delete dataset HTTP
API, improving code clarity and robustness. Key changes include:

1. Pydantic Validation
2. Error Handling
3. Test Updates
4. Documentation Updates

### Type of change

- [x] Documentation Update
- [x] Refactoring

### What problem does this PR solve?

This PR introduces Pydantic-based validation for the update dataset HTTP
API, improving code clarity and robustness. Key changes include:
1. Pydantic Validation
2. ​​Error Handling
3. Test Updates
4. Documentation Updates
5. fix bug: #5915

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Documentation Update
- [x] Refactoring

### What problem does this PR solve?

 Refactor test fixtures and test cases

### Type of change

- [ ] Refactoring test cases

### What problem does this PR solve?

cover [list
chunks](https://ragflow.io/docs/v0.17.2/http_api_reference#list-chunks)
endpoints

### Type of change

- [x] update test cases

### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change

- [x] update test cases

### What problem does this PR solve?

Add license statement.

### Type of change

- [x] Refactoring

Signed-off-by: Jin Hai <haijin.chn@gmail.com>

### What problem does this PR solve?

Add back beartype

### Type of change

- [x] Refactoring

### What problem does this PR solve?

Fix errors detected by Ruff

### Type of change

- [x] Refactoring

### What problem does this PR solve?

This PR introduces the `ragflow_chat` plugin for the ChatGPT-on-WeChat
project, extending its functionality by integrating Retrieval-Augmented
Generation (RAG) capabilities. It allows users to have more contextually
relevant conversations by retrieving information from external knowledge
sources (via the RAGFlow API) and incorporating it into their chat
interactions.

The primary goal of this PR is to enable seamless communication between
ChatGPT-on-WeChat and the RAGFlow server, improving response accuracy by
embedding knowledge-based data into conversational flows. This is
particularly useful for users who need more complex, data-driven
responses.

This PR adds a new plugin that enhances ChatGPT-on-WeChat with Ragflow
capabilities, allowing for a more enriched conversational experience
driven by external knowledge.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)