Probably functional. Testing

core/llm.py

@@ -5,17 +5,14 @@ import os
 import json
 from pathlib import Path
 from typing import Optional
-from dotenv import load_dotenv
 from openai import OpenAI
 
 
 class LLMClient:
-    def __init__(self, prompts_dir: Path):
-        load_dotenv()
-        
-        self.api_url = os.getenv('OPENAI_API_URL', 'https://api.openai.com/v1')
-        self.model = os.getenv('OPENAI_MODEL', 'gpt-4')
-        self.api_key = os.getenv('OPENAI_API_KEY', '')
+    def __init__(self, prompts_dir: Path, api_config: dict):
+        self.api_url = api_config.get('url', 'https://api.openai.com/v1')
+        self.model = api_config.get('model', 'gpt-4')
+        self.api_key = api_config.get('api_key', '')
         
         self.client = OpenAI(
             base_url=self.api_url,
@@ -23,25 +20,6 @@ class LLMClient:
         ) if self.api_key else None
         
         self.prompts_dir = prompts_dir
-        if not prompts_dir.exists():
-            prompts_dir.mkdir(parents=True)
-            self._create_default_prompt()
-    
-    def _create_default_prompt(self):
-        """Create default system prompt"""
-        default_prompt = """You are a metadata extraction assistant for markdown documents.
-
-Your task is to analyze the document content and suggest appropriate frontmatter metadata.
-
-Guidelines:
-- For tags: prefer selecting from the provided existing tags list when appropriate
-- You may create new tags if they better fit the content
-- New tags must follow the rules: lowercase letters, numbers, and underscores only
-- Be concise and accurate
-- Preserve important existing metadata when present"""
-        
-        with open(self.prompts_dir / 'default.txt', 'w', encoding='utf-8') as f:
-            f.write(default_prompt)
     
     def load_prompt(self, name: str = 'default') -> str:
         """Load prompt template"""