py/ai.py

@@ -1,6 +1,5 @@
 from mistralai import Mistral
 from openai import OpenAI
-import anthropic
 import ollama
 
 
@@ -45,8 +44,7 @@ class AI:
 
         stream_response = client.chat.completions.create(
             model=model,
-            messages=messages,
+            messages=messages
-            stream=True
         )
 
         with return_class.ai_response_lock:
@@ -55,20 +53,3 @@ class AI:
         for chunk in stream_response:
             with return_class.ai_response_lock:
                 return_class.ai_response[access_token] += chunk.choices[0].delta.content
-
-    @staticmethod
-    def process_anthropic(model, messages, return_class, access_token, api_key):
-
-        client = anthropic.Anthropic(api_key=api_key)
-
-        with return_class.ai_response_lock:
-            return_class.ai_response[access_token] = ""
-
-        with client.messages.stream(
-                max_tokens=1024,
-                model=model,
-                messages=messages,
-        ) as stream:
-            for text in stream.text_stream:
-                with return_class.ai_response_lock:
-                    return_class.ai_response[access_token] += text

py/api.py

@@ -46,18 +46,6 @@ class API:
                 thread.start()
                 thread.join()
                 return jsonify({'status': 200})
-            elif model_type == "openai":
-                api_key = data.get('api_key')
-                thread = threading.Thread(target=self.ai.process_openai, args=(ai_model, messages, self, access_token, api_key))
-                thread.start()
-                thread.join()
-                return jsonify({'status': 200})
-            elif model_type == "anthropic":
-                api_key = data.get('api_key')
-                thread = threading.Thread(target=self.ai.process_anthropic, args=(ai_model, messages, self, access_token, api_key))
-                thread.start()
-                thread.join()
-                return jsonify({'status': 200})
 
             return jsonify({'status': 401, 'error': 'Invalid AI model type'})
 

py/requirements.txt

@@ -3,5 +3,4 @@ flask-cors
 ollama
 mistralai
 openai
-anthropic
 pyOpenSSL