# Implementation Plan

- [x] 1. Modify FetchZhipu to return List[str]





  - [x] 1.1 Add _flatten_categories() helper method to FetchZhipu class


    - Implement method that takes Dict[str, List[str]] and returns List[str]
    - Iterate through all category values and collect model IDs
    - _Requirements: 1.2, 1.3_
  - [x] 1.2 Update fetch_models() to return flattened list

    - Call _extract_model_names() to get categorized dict
    - Call _flatten_categories() to convert to list
    - Update return type annotation to List[str]
    - _Requirements: 1.1_
  - [ ]* 1.3 Write property test for flattening preservation
    - **Property 2: Flattening preserves all models**
    - **Validates: Requirements 1.2, 1.3**

- [x] 2. Update FetchBase type annotation





  - [x] 2.1 Verify FetchBase.fetch_models() return type is List[str]


    - Check current type annotation in base.py
    - Update if necessary (currently already List[str])
    - _Requirements: 2.1, 2.2_
  - [ ]* 2.2 Write property test for return type consistency
    - **Property 1: Return type consistency**
    - **Validates: Requirements 1.1, 2.1**

- [x] 3. Update existing tests
  - [x] 3.1 Update test_zhipu_real.py to expect List[str]


    - Modify assertions to check for list type instead of dict
    - _Requirements: 1.1_

- [x] 4. Checkpoint - Ensure all tests pass
  - Ensure all tests pass, ask the user if questions arise.
  
- [x] 5. Update README and Docs

- [ ] 6. 





