readme update & refactor llm_provider

sources/llm_provider.py

@@ -14,7 +14,6 @@ from openai import OpenAI
 from sources.logger import Logger
 from sources.utility import pretty_print, animate_thinking
 
-
 class Provider:
     def __init__(self, provider_name, model, server_address="127.0.0.1:5000", is_local=False):
         self.provider_name = provider_name.lower()
@@ -58,38 +57,6 @@ class Provider:
             exit(1)
         return api_key
 
-    def anthropic_fn(self, history, verbose=False):
-        """
-        Use Anthropic to generate text.
-        """
-        from anthropic import Anthropic
-
-        client = Anthropic(api_key=self.api_key)
-        system_message = None
-        messages = []
-        for message in history:
-            clean_message = {'role': message['role'], 'content': message['content']}
-            if message['role'] == 'system':
-                system_message = message['content']
-            else:
-                messages.append(clean_message)
-
-        try:
-            response = client.messages.create(
-                model=self.model,
-                max_tokens=1024,
-                messages=messages,
-                system=system_message
-            )
-            if response is None:
-                raise Exception("Anthropic response is empty.")
-            thought = response.content[0].text
-            if verbose:
-                print(thought)
-            return thought
-        except Exception as e:
-            raise Exception(f"Anthropic API error: {str(e)}") from e
-
     def respond(self, history, verbose=True):
         """
         Use the choosen provider to generate text.
@@ -255,6 +222,38 @@ class Provider:
         except Exception as e:
             raise Exception(f"OpenAI API error: {str(e)}") from e
 
+    def anthropic_fn(self, history, verbose=False):
+        """
+        Use Anthropic to generate text.
+        """
+        from anthropic import Anthropic
+
+        client = Anthropic(api_key=self.api_key)
+        system_message = None
+        messages = []
+        for message in history:
+            clean_message = {'role': message['role'], 'content': message['content']}
+            if message['role'] == 'system':
+                system_message = message['content']
+            else:
+                messages.append(clean_message)
+
+        try:
+            response = client.messages.create(
+                model=self.model,
+                max_tokens=1024,
+                messages=messages,
+                system=system_message
+            )
+            if response is None:
+                raise Exception("Anthropic response is empty.")
+            thought = response.content[0].text
+            if verbose:
+                print(thought)
+            return thought
+        except Exception as e:
+            raise Exception(f"Anthropic API error: {str(e)}") from e
+
     def google_fn(self, history, verbose=False):
         """
         Use google gemini to generate text.