fix(): fix prompt and attribute settings

agents/property.json

@@ -1841,9 +1841,9 @@
                             "greeting": "ASTRA agent connected. How can i help you today?",
                             "max_memory_length": 10,
                             "max_output_tokens": 512,
-                            "model": "gemini-1.0-pro-latest",
+                            "model": "gemini-1.5-flash",
                             "prompt": "",
-                            "temperature": 0.1,
+                            "temperature": 1.0,
                             "top_k": 40,
                             "top_p": 0.95
                         }
@@ -2375,4 +2375,4 @@
             }
         ]
     }
-}
+}

agents/property.json.example

@@ -1961,9 +1961,9 @@
                             "greeting": "ASTRA agent connected. How can i help you today?",
                             "max_memory_length": 10,
                             "max_output_tokens": 512,
-                            "model": "gemini-1.0-pro-latest",
+                            "model": "gemini-1.5-flash",
                             "prompt": "",
-                            "temperature": 0.1,
+                            "temperature": 1.0,
                             "top_k": 40,
                             "top_p": 0.95
                         }

agents/ten_packages/extension/gemini_llm_python/gemini_llm.py

@@ -24,9 +24,9 @@ def default_config(cls):
         return cls(
             api_key="",
             max_output_tokens=512,
-            model="gemini-1.0-pro-latest",
+            model="gemini-1.5-flash",
             prompt="You are a voice assistant who talks in a conversational way and can chat with me like my friends. I will speak to you in English or Chinese, and you will answer in the corrected and improved version of my text with the language I use. Don’t talk like a robot, instead I would like you to talk like a real human with emotions. I will use your answer for text-to-speech, so don’t return me any meaningless characters. I want you to be helpful, when I’m asking you for advice, give me precise, practical and useful advice instead of being vague. When giving me a list of options, express the options in a narrative way instead of bullet points.",
-            temperature=0.1,
+            temperature=1.0,
             top_k=40,
             top_p=0.95,
         )
@@ -36,12 +36,12 @@ class GeminiLLM:
     def __init__(self, config: GeminiLLMConfig):
         self.config = config
         genai.configure(api_key=self.config.api_key)
-        self.model = genai.GenerativeModel(self.config.model)
+        self.model = genai.GenerativeModel(model_name=self.config.model, system_instruction=self.config.prompt)
 
     def get_chat_completions_stream(self, messages: List[Dict[str, str]]):
         try:
             chat = self.model.start_chat(history=messages[0:-1])
-            response = chat.send_message((self.config.prompt, messages[-1].get("parts")),
+            response = chat.send_message(messages[-1].get("parts"),
                                             generation_config=genai.types.GenerationConfig(
                                                 max_output_tokens=self.config.max_output_tokens,
                                                 temperature=self.config.temperature,

agents/ten_packages/extension/gemini_llm_python/gemini_llm_extension.py

@@ -59,19 +59,19 @@ def on_start(self, ten: TenEnv) -> None:
             try:
                 val = ten.get_property_string(key)
                 if val:
-                    gemini_llm_config.key = val
+                    setattr(gemini_llm_config, key, val)
             except Exception as e:
                 logger.warning(f"get_property_string optional {key} failed, err: {e}")
 
         for key in [PROPERTY_TEMPERATURE, PROPERTY_TOP_P]:
             try:
-                gemini_llm_config.key = float(ten.get_property_float(key))
+                setattr(gemini_llm_config, key, float(ten.get_property_float(key)))
             except Exception as e:
                 logger.warning(f"get_property_float optional {key} failed, err: {e}")
 
         for key in [PROPERTY_MAX_OUTPUT_TOKENS, PROPERTY_TOP_K]:
             try:
-                gemini_llm_config.key = int(ten.get_property_int(key))
+                setattr(gemini_llm_config, key, int(ten.get_property_int(key)))
             except Exception as e:
                 logger.warning(f"get_property_int optional {key} failed, err: {e}")