Replace all instances of Sonnet to Opus

scientific-skills/markitdown/SKILL.md

@@ -139,7 +139,7 @@ client = OpenAI(
 
 md = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",  # recommended for scientific vision
+    llm_model="anthropic/claude-opus-4.5",  # recommended for scientific vision
     llm_prompt="Describe this image in detail for scientific documentation"
 )
 
@@ -262,7 +262,7 @@ client = OpenAI(
 
 md = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",  # recommended for presentations
+    llm_model="anthropic/claude-opus-4.5",  # recommended for presentations
     llm_prompt="Describe this slide image in detail, focusing on key visual elements and data"
 )
 
@@ -419,7 +419,7 @@ client = OpenAI(
 
 md_ai = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",
+    llm_model="anthropic/claude-opus-4.5",
     llm_prompt="Describe scientific figures with technical precision"
 )
 ```

scientific-skills/markitdown/assets/example_usage.md

@@ -101,7 +101,7 @@ from openai import OpenAI
 client = OpenAI()
 md = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",
+    llm_model="anthropic/claude-opus-4.5",
     llm_prompt="Describe this scientific slide, focusing on data and key findings"
 )
 
@@ -143,7 +143,7 @@ Be technical and precise.
 
 md = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",  # recommended for scientific vision
+    llm_model="anthropic/claude-opus-4.5",  # recommended for scientific vision
     llm_prompt=scientific_prompt
 )
 
@@ -167,14 +167,14 @@ client = OpenAI(
 # Scientific papers - use Claude for technical analysis
 scientific_md = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",
+    llm_model="anthropic/claude-opus-4.5",
     llm_prompt="Describe scientific figures with technical precision"
 )
 
 # Presentations - use GPT-4o for visual understanding
 presentation_md = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",
+    llm_model="anthropic/claude-opus-4.5",
     llm_prompt="Summarize slide content and key visual elements"
 )
 

scientific-skills/markitdown/references/api_reference.md

@@ -23,7 +23,7 @@ md = MarkItDown(
 | Parameter | Type | Default | Description |
 |-----------|------|---------|-------------|
 | `llm_client` | OpenAI client | `None` | OpenAI-compatible client for AI image descriptions |
-| `llm_model` | str | `None` | Model name (e.g., "anthropic/claude-sonnet-4.5") for image descriptions |
+| `llm_model` | str | `None` | Model name (e.g., "anthropic/claude-opus-4.5") for image descriptions |
 | `llm_prompt` | str | `None` | Custom prompt for image description |
 | `docintel_endpoint` | str | `None` | Azure Document Intelligence endpoint |
 | `enable_plugins` | bool | `False` | Enable 3rd-party plugins |
@@ -235,7 +235,7 @@ client = OpenAI(
 # Create MarkItDown with AI support
 md = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",  # recommended for scientific vision
+    llm_model="anthropic/claude-opus-4.5",  # recommended for scientific vision
     llm_prompt="Describe this image in detail for scientific documentation"
 )
 
@@ -246,11 +246,8 @@ result = md.convert("presentation.pptx")
 ### Available Models via OpenRouter
 
 Popular models with vision support:
-- `anthropic/claude-sonnet-4.5` - **Recommended for scientific vision**
+- `anthropic/claude-opus-4.5` - **Recommended for scientific vision**
-- `anthropic/claude-opus-4.5` - Advanced vision model
+- `google/gemini-3-pro-preview` - Gemini Pro Vision
-- `openai/gpt-4o` - GPT-4 Omni
-- `openai/gpt-4-vision` - GPT-4 Vision
-- `google/gemini-pro-vision` - Gemini Pro Vision
 
 See https://openrouter.ai/models for the complete list.
 
@@ -269,7 +266,7 @@ Be precise and technical.
 
 md = MarkItDown(
     llm_client=client,
-    llm_model="anthropic/claude-sonnet-4.5",
+    llm_model="anthropic/claude-opus-4.5",
     llm_prompt=scientific_prompt
 )
 ```

scientific-skills/markitdown/scripts/convert_with_ai.py

@@ -71,7 +71,7 @@ def convert_with_ai(
     input_file: Path,
     output_file: Path,
     api_key: str,
-    model: str = "anthropic/claude-sonnet-4.5",
+    model: str = "anthropic/claude-opus-4.5",
     prompt_type: str = "general",
     custom_prompt: str = None
 ) -> bool:
@@ -82,7 +82,7 @@ def convert_with_ai(
         input_file: Path to input file
         output_file: Path to output Markdown file
         api_key: OpenRouter API key
-        model: Model name (default: anthropic/claude-sonnet-4.5)
+        model: Model name (default: anthropic/claude-opus-4.5)
         prompt_type: Type of prompt to use
         custom_prompt: Custom prompt (overrides prompt_type)
         
@@ -154,10 +154,10 @@ Examples:
   python convert_with_ai.py paper.pdf output.md --prompt-type scientific
   
   # Convert a presentation with custom model
-  python convert_with_ai.py slides.pptx slides.md --model anthropic/claude-sonnet-4.5 --prompt-type presentation
+  python convert_with_ai.py slides.pptx slides.md --model anthropic/claude-opus-4.5 --prompt-type presentation
   
   # Use custom prompt with advanced vision model
-  python convert_with_ai.py diagram.png diagram.md --model anthropic/claude-sonnet-4.5 --custom-prompt "Describe this technical diagram"
+  python convert_with_ai.py diagram.png diagram.md --model anthropic/claude-opus-4.5 --custom-prompt "Describe this technical diagram"
   
   # Set API key via environment variable
   export OPENROUTER_API_KEY="sk-or-v1-..."
@@ -167,11 +167,8 @@ Environment Variables:
   OPENROUTER_API_KEY    OpenRouter API key (required if not passed via --api-key)
 
 Popular Models (use with --model):
-  anthropic/claude-sonnet-4.5 - Recommended for scientific vision
+  anthropic/claude-opus-4.5 - Recommended for scientific vision
-  anthropic/claude-opus-4.5   - Advanced vision model
+  google/gemini-3-pro-preview   - Gemini Pro Vision
-  openai/gpt-4o              - GPT-4 Omni (vision support)
-  openai/gpt-4-vision        - GPT-4 Vision
-  google/gemini-pro-vision   - Gemini Pro Vision
         """
     )
     
@@ -183,8 +180,8 @@ Popular Models (use with --model):
     )
     parser.add_argument(
         '--model', '-m',
-        default='anthropic/claude-sonnet-4.5',
+        default='anthropic/claude-opus-4.5',
-        help='Model to use via OpenRouter (default: anthropic/claude-sonnet-4.5)'
+        help='Model to use via OpenRouter (default: anthropic/claude-opus-4.5)'
     )
     parser.add_argument(
         '--prompt-type', '-t',

scientific-skills/neuropixels-analysis/references/AI_CURATION.md

@@ -67,7 +67,7 @@ result = npa.analyze_unit_visually(
     analyzer,
     unit_id=0,
     api_client=client,
-    model='claude-3-5-sonnet-20241022',
+    model='claude-opus-4.5',
     task='quality_assessment'
 )
 
@@ -287,7 +287,7 @@ Currently supported APIs:
 
 | Provider | Client | Model Examples |
 |----------|--------|----------------|
-| Anthropic | `anthropic.Anthropic()` | claude-3-5-sonnet-20241022 |
+| Anthropic | `anthropic.Anthropic()` | claude-opus-4.5 |
 | OpenAI | `openai.OpenAI()` | gpt-4-vision-preview |
 | Google | `google.generativeai` | gemini-pro-vision |
 

scientific-skills/neuropixels-analysis/references/api_reference.md

@@ -284,7 +284,7 @@ npa.analyze_unit_visually(
     analyzer: SortingAnalyzer,
     unit_id: int,
     api_client: Any = None,
-    model: str = 'claude-3-5-sonnet-20241022',
+    model: str = 'claude-opus-4.5',
     task: str = 'quality_assessment',
     custom_prompt: str = None,
 ) -> dict
@@ -304,7 +304,7 @@ npa.batch_visual_curation(
     analyzer: SortingAnalyzer,
     unit_ids: list = None,
     api_client: Any = None,
-    model: str = 'claude-3-5-sonnet-20241022',
+    model: str = 'claude-opus-4.5',
     output_dir: str = None,
     progress_callback: callable = None,
 ) -> dict