- adding other LLMs

Config_files/message_system_config.json

@@ -21,7 +21,7 @@
   "AI_phrases_singeo": ["your voice deserves more"],
   "header_limit": 30,
   "message_limit": 110,
-  "LLM_models": ["gpt-4o-mini", "gpt-4o", "gpt-4.1-mini"],
+  "LLM_models": ["gpt-4o-mini", "gpt-4o", "gpt-4.1-mini", "gemini-2.5-flash-lite-preview-06-17", "claude-3-5-haiku-latest", "google/gemma-3-27b-instruct/bf-16"],
   "openai_models": ["gpt-4o-mini", "gpt-4o", "gpt-4.1-nano", "gpt-3.5-turbo", "gpt-4.1-mini"],
   "reasoning": ["o1", "o4-mini", "o1-mini", "o3-mini"],
   "ollama_models": ["deepseek-r1:1.5b", "gemma3:4b", "deepseek-r1:7b", "gemma3:4b"],

Messaging_system/LLM.py

@@ -419,16 +419,39 @@ class LLM:
             return None
 
     # ===============================================================
+    # def preprocess_and_parse_json_claude(self, response: str):
+    #     """
+    #     process claude response and extract JSON
+    #     :param response:
+    #     :return:
+    #     """
+    #     json_start = response.index("{")
+    #     json_end = response.rfind("}")
+    #     parsed_response = json.loads(response[json_start:json_end + 1])
+    #     return parsed_response
+    #
+
     def preprocess_and_parse_json_claude(self, response: str):
         """
-        process claude response and extract JSON
-        :param response:
-        :return:
+        Process Claude response and extract JSON content safely
         """
-        json_start = response.index("{")
-        json_end = response.rfind("}")
-        parsed_response = json.loads(response[json_start:json_end + 1])
-        return parsed_response
+        try:
+            json_start = response.index("{")
+            json_end = response.rfind("}")
+            json_string = response[json_start:json_end + 1]
+
+            parsed_response = json.loads(json_string)
+
+            if not isinstance(parsed_response, dict):
+                raise ValueError(f"Parsed response is not a dict: {parsed_response}")
+
+            return parsed_response
+
+        except ValueError as ve:
+            raise ValueError(f"Could not extract JSON from Claude response: {ve}\nOriginal response: {response}")
+        except json.JSONDecodeError as je:
+            raise ValueError(f"Failed to parse JSON from string: {json_string}\nError: {je}")
+
 
 
 

Messaging_system/PromptGenerator.py

@@ -253,6 +253,7 @@ Goal: Make the recommendation feel personalized and casually relevant — not ge
 
         instructions = f"""
 ### **Output instructions**:
+- header < {self.Core.config_file["header_limit"]} and message < {self.Core.config_file["message_limit"]} characters.
 
 **Expected output structure:**
 

messaging_main_test.py

@@ -194,7 +194,7 @@ Message: These lessons are curated just for you. Start singing today!
     # o3-mini o1-mini o4-mini o1
 
     users_message = permes.create_personalize_messages(session=session,
-                                                model="gpt-4o-mini",
+                                                model="google/gemma-3-27b-instruct/bf-16",
                                                 users=users,
                                                 brand=brand,
                                                 config_file=config_file,