- Move from OpenAI to Mistral Embeddings

- Move embedding model settings from tenant to catalog
- BUG: error processing configuration for chunking patterns in HTML_PROCESSOR
- Removed eveai_chat from docker-files and nginx configuration, as it is now obsolete
- BUG: error in Library Operations when creating a new default RAG library
- BUG: Added public type in migration scripts
- Removed SocketIO from all code and requirements.txt

tests/specialist_execution/test_specialist_client.py

@@ -18,9 +18,7 @@ sys.path.append(project_root)
 API_BASE_URL = "http://macstudio.ask-eve-ai-local.com:8080/api/api/v1"
 TENANT_ID = 2  # Replace with your tenant ID
 API_KEY = "EveAI-5096-5466-6143-1487-8085-4174-2080-7208"  # Replace with your API key
-SPECIALIST_TYPE = "SPIN_SPECIALIST"  # Replace with your specialist type
 SPECIALIST_ID = 5  # Replace with your specialist ID
-ROOT_FOLDER = "../.."
 
 
 def get_auth_token() -> str:
@@ -52,15 +50,27 @@ def get_session_id(auth_token: str) -> str:
     return response.json()["session_id"]
 
 
-def load_specialist_config() -> Dict[str, Any]:
-    """Load specialist configuration from YAML file"""
-    config_path = f"{ROOT_FOLDER}/config/specialists/{SPECIALIST_TYPE}/1.0.0.yaml"
-    if not os.path.exists(config_path):
-        print(colored(f"Error: Configuration file not found: {config_path}", "red"))
-        sys.exit(1)
+def get_specialist_config(auth_token: str, specialist_id: int) -> Dict[str, Any]:
+    """Get specialist configuration from API"""
+    headers = {
+        'Authorization': f'Bearer {auth_token}',
+        'Content-Type': 'application/json'
+    }
 
-    with open(config_path, 'r') as f:
-        return yaml.safe_load(f)
+    response = requests.get(
+        f"{API_BASE_URL}/specialist-execution/specialist_arguments",
+        headers=headers,
+        json={
+            'specialist_id': specialist_id
+        }
+    )
+
+    print(colored(f"Status Code: {response.status_code}", "cyan"))
+    if response.status_code == 200:
+        config_data = response.json()
+        return config_data.get('arguments', {})
+    else:
+        raise Exception(f"Failed to get specialist configuration: {response.text}")
 
 
 def get_argument_value(arg_name: str, arg_config: Dict[str, Any], previous_value: Any = None) -> Any:
@@ -163,8 +173,10 @@ def main():
         auth_token = get_auth_token()
 
         # Load specialist configuration
-        print(colored(f"Loading specialist configuration {SPECIALIST_TYPE}", "cyan"))
-        config = load_specialist_config()
+        print(colored(f"Loading specialist configuration", "cyan"))
+        config = {
+            'arguments': get_specialist_config(auth_token, SPECIALIST_ID)
+        }
         previous_args = None
 
         while True: