Update notification service

AppImage/scripts/ai_providers/anthropic_provider.py

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+"""Anthropic (Claude) provider implementation.
+
+Anthropic's Claude models are excellent for text generation and translation.
+Claude Haiku is particularly fast and affordable for notification enhancement.
+"""
+from typing import Optional
+from .base import AIProvider, AIProviderError
+
+
+class AnthropicProvider(AIProvider):
+    """Anthropic provider using their Messages API."""
+    
+    NAME = "anthropic"
+    DEFAULT_MODEL = "claude-3-haiku-20240307"
+    REQUIRES_API_KEY = True
+    API_URL = "https://api.anthropic.com/v1/messages"
+    API_VERSION = "2023-06-01"
+    
+    def generate(self, system_prompt: str, user_message: str,
+                 max_tokens: int = 200) -> Optional[str]:
+        """Generate a response using Anthropic's API.
+        
+        Note: Anthropic uses a different API format than OpenAI.
+        The system prompt goes in a separate field, not in messages.
+        
+        Args:
+            system_prompt: System instructions
+            user_message: User message to process
+            max_tokens: Maximum response length
+            
+        Returns:
+            Generated text or None if failed
+            
+        Raises:
+            AIProviderError: If API key is missing or request fails
+        """
+        if not self.api_key:
+            raise AIProviderError("API key required for Anthropic")
+        
+        # Anthropic uses a different format - system is a top-level field
+        payload = {
+            'model': self.model,
+            'system': system_prompt,
+            'messages': [
+                {'role': 'user', 'content': user_message},
+            ],
+            'max_tokens': max_tokens,
+        }
+        
+        headers = {
+            'Content-Type': 'application/json',
+            'x-api-key': self.api_key,
+            'anthropic-version': self.API_VERSION,
+        }
+        
+        result = self._make_request(self.API_URL, payload, headers)
+        
+        try:
+            # Anthropic returns content as array of content blocks
+            content = result['content']
+            if isinstance(content, list) and len(content) > 0:
+                return content[0].get('text', '').strip()
+            return str(content).strip()
+        except (KeyError, IndexError) as e:
+            raise AIProviderError(f"Unexpected response format: {e}")