---
name: Comprehensive Codebase Examination and Cleanup
overview: Comprehensive examination of the codebase to identify inconsistencies, unused code, and areas for improvement across all modules.
todos:
  - id: audit-toolset-patterns
    content: Audit all toolset.py files for consistency in patterns, error handling, and metrics tracking
    status: pending
  - id: audit-storage-patterns
    content: Audit all storage.py files for consistency in initialization, methods, and error handling
    status: pending
  - id: standardize-metrics-pattern
    content: Standardize metrics tracking pattern across all toolsets (decide on manual vs wrapper approach)
    status: pending
  - id: verify-protocols
    content: Verify all Protocol classes match their implementations and include all required methods
    status: pending
  - id: check-type-hints
    content: Review and improve type hints across codebase, replace Any where possible
    status: pending
  - id: standardize-error-handling
    content: Standardize error handling patterns across all toolset functions
    status: pending
  - id: verify-imports
    content: Check for circular imports and standardize import patterns
    status: pending
  - id: update-documentation
    content: Update documentation to reflect standards and patterns
    status: pending
---

# Comprehensive Codebase Examination and Cleanup

## Examination Areas

### 1. Metrics Tracking Consistency

**Current State**:

- 12/13 toolsets have metrics tracking implemented
- `multi_persona_analysis` missing metrics (covered in Plan 1)
- All toolsets manually call `_metrics.record_invocation()` - inconsistent pattern
- `create_tracking_wrapper()` exists but is unused

**Recommendations**:

- Standardize metrics tracking pattern across all toolsets
- Consider using `create_tracking_wrapper()` for consistency (or document why manual tracking is preferred)
- Ensure all toolsets follow same timing/metrics collection pattern

### 2. Storage Class Consistency

**Current State**:

- All storage classes have `get_statistics()` method
- All storage classes have `clear()` method
- All storage classes support `track_usage` parameter
- Missing `summary()` method (covered in Plan 1)

**Recommendations**:

- Verify all storage classes follow same initialization pattern
- Ensure consistent error handling in storage operations
- Standardize property getters/setters across all storage classes

### 3. Toolset Function Patterns

**Current State**:

- All toolsets follow similar structure with `_get_status_summary()` and `_get_next_hint()`
- Tool functions are async
- Metrics tracking pattern varies slightly

**Recommendations**:

- Document standard toolset creation pattern
- Ensure consistent error handling across all tool functions
- Verify all toolsets have proper docstrings

### 4. Type Hints and Protocols

**Current State**:

- All storage classes have Protocol definitions
- Type hints are generally consistent

**Recommendations**:

- Verify all Protocol classes match their implementations
- Ensure type hints are complete and accurate
- Check for any `Any` types that could be more specific

### 5. Import Patterns

**Current State**:

- Some toolsets use conditional imports for metrics
- Some use TYPE_CHECKING imports

**Recommendations**:

- Standardize import patterns across all toolsets
- Use TYPE_CHECKING consistently for type-only imports
- Verify no circular import issues

### 6. Documentation Consistency

**Current State**:

- All toolsets have docstrings
- Storage classes have examples

**Recommendations**:

- Verify all docstrings follow same format
- Ensure examples are up-to-date
- Check for missing or outdated documentation

### 7. Error Handling

**Current State**:

- Toolsets handle errors in tool functions
- Storage operations may have inconsistent error handling

**Recommendations**:

- Standardize error handling patterns
- Ensure all storage operations handle edge cases
- Verify error messages are helpful

### 8. Testing Coverage

**Current State**:

- Evals module exists for testing toolsets
- Some unused eval code (covered in Plan 2)

**Recommendations**:

- Verify all toolsets are covered by evals
- Ensure eval cases test edge cases
- Check for missing test scenarios

## Specific Issues to Address

### Issue 1: Inconsistent Metrics Initialization

- Some toolsets check `hasattr(_storage, "metrics")`
- Some directly access `_storage.metrics`
- Standardize to one pattern

### Issue 2: Missing Type Information

- Some storage classes use `dict[str, Any]` for statistics
- Could be more specific with TypedDict

### Issue 3: Protocol Completeness

- Verify all Protocol classes include all required methods
- Ensure protocols match actual implementations

### Issue 4: Storage Clear Methods

- All have `clear()` but may not reset all state consistently
- Verify all storage classes clear all relevant state

## Action Items

1. **Audit all toolset.py files** for consistency
2. **Audit all storage.py files** for consistency  
3. **Create standardization document** for toolset patterns
4. **Fix inconsistencies** found during audit
5. **Update documentation** to reflect standards
6. **Add type hints** where missing or too generic
7. **Verify error handling** is consistent
8. **Check for dead code** beyond evals module

## Files to Examine

### Toolsets (13 files):

- `chain_of_thought_reasoning/toolset.py`
- `tree_of_thought_reasoning/toolset.py`
- `beam_search_reasoning/toolset.py`
- `graph_of_thought_reasoning/toolset.py`
- `monte_carlo_reasoning/toolset.py`
- `reflection/toolset.py`
- `self_ask/toolset.py`
- `self_refine/toolset.py`
- `to_do/toolset.py`
- `search/toolset.py`
- `multi_persona_debate/toolset.py`
- `multi_persona_analysis/toolset.py`
- `_shared/metrics.py`

### Storage (12 files):

- All `storage.py` files in each toolset directory

### Evals (covered in Plan 2):

- All files in `evals/` directory

## Expected Outcomes

1. Consistent patterns across all toolsets
2. All unused code removed
3. Standardized metrics tracking
4. Complete storage summary methods
5. Improved type safety
6. Better error handling
7. Updated documentation
8. Cleaner, more maintainable codebase