# OpenAI Provider Fixes Summary

## Issues Fixed

Based on the test logs, the following critical issues have been addressed:

### 1. ✅ GPT-5 Series API Parameter Fix
**Problem**: GPT-5, GPT-5-mini, GPT-5-nano required `max_completion_tokens` instead of `max_tokens`
**Error**: `"Unsupported parameter: 'max_tokens' is not supported with this model. Use 'max_completion_tokens' instead."`

**Fix Applied**:
- Modified `src/libs/llms/providers/openai/client.py` in the `chat()` method
- Added model-specific parameter handling that detects GPT-5 series models
- Automatically converts `max_tokens` to `max_completion_tokens` for GPT-5 models

**Code Change**:
```python
# Handle model-specific parameter requirements
model = request.model or self.default_model

# GPT-5 series models use max_completion_tokens instead of max_tokens
if model.startswith("gpt-5"):
    if "max_tokens" in openai_request:
        openai_request["max_completion_tokens"] = openai_request.pop("max_tokens")
```

### 2. ✅ GPT-Image-1 API Parameter Fix
**Problem**: GPT-Image-1 doesn't support the `response_format` parameter
**Error**: `"Unknown parameter: 'response_format'."`

**Fix Applied**:
- Modified `src/libs/llms/providers/openai/client.py` in the `generate_image()` method
- Added conditional parameter inclusion based on model type
- Only includes `response_format` for models that support it (excludes gpt-image-*)

**Code Change**:
```python
# Add response_format only for models that support it (not gpt-image-1)
if request.response_format and not model.startswith("gpt-image"):
    dalle_request["response_format"] = request.response_format
```

### 3. ✅ Updated Old Model References
**Problem**: Some demo functions still referenced `gpt-3.5-turbo` instead of new models
**Error**: `"Model 'gpt-3.5-turbo' is not supported by provider 'openai'"`

**Fix Applied**:
- Updated streaming demo to use `gpt-4.1` instead of `gpt-3.5-turbo`
- Updated performance testing to use `gpt-5-nano` instead of `gpt-3.5-turbo`
- Maintained functional equivalence while using supported models

### 4. ✅ File Processing Bug Fix
**Problem**: File processing demo had AttributeError trying to iterate over processor info
**Error**: `"'list' object has no attribute 'items'"`

**Fix Applied**:
- Fixed `comprehensive_usage_demo.py` file processing section
- Changed from dictionary iteration to list iteration
- Properly handles the `List[Dict[str, Any]]` return type from `get_processor_info()`

**Code Change**:
```python
# processor_info is a list of dictionaries, not a dictionary
for i, proc_info in enumerate(processor_info, 1):
    proc_name = proc_info.get('name', f'Processor {i}')
    description = proc_info.get('description', 'No description')
    print(f"  - {proc_name}: {description}")
```

## Expected Results

After these fixes:

1. **GPT-5 series models should work correctly** - no more max_tokens parameter errors
2. **GPT-Image-1 should generate images successfully** - no more response_format errors
3. **All demo functions should use supported models** - no more model not found errors
4. **File processing demo should complete without crashes** - proper processor info display

## Files Modified

1. `src/libs/llms/providers/openai/client.py` - Core provider logic fixes
2. `comprehensive_usage_demo.py` - Demo script fixes

## Verification

All modified files have been syntax-checked and should work correctly. The comprehensive demo should now run without the parameter-related errors that were occurring before.