feat: atualizando modelo do gemini 2.5 pro

_utils/gerar_documento_utils/GerarDocumento.py

@@ -226,7 +226,7 @@ class GerarDocumento:
         elif llm_ultimas_requests == "gemini-2.0-flash":
             llm = llm_instance.google_gemini("gemini-2.0-flash")
         elif llm_ultimas_requests == "gemini-2.5-pro":
-            llm = llm_instance.google_gemini("gemini-2.5-pro-exp-03-25")
+            llm = llm_instance.google_gemini("gemini-2.5-pro-preview-05-06")
         return llm
 
     async def gerar_documento_final(

_utils/gerar_documento_utils/llm_calls.py

@@ -60,7 +60,7 @@ def gpt_answer(
 async def agemini_answer(
     prompt,
     model: Literal[
-        "gemini-2.5-pro-exp-03-25", "gemini-2.0-flash", "gemini-2.0-flash-lite"
+        "gemini-2.5-pro-preview-05-06", "gemini-2.0-flash", "gemini-2.0-flash-lite"
     ] = "gemini-2.0-flash",
 ) -> str:
     gemini = llm.google_gemini(model)

_utils/langchain_utils/LLM_class.py

@@ -10,7 +10,7 @@ google_api_key = cast(str, os.environ.get("GOOGLE_API_KEY_PEIXE"))
 open_ai_token = cast(str, os.environ.get("OPENAI_API_KEY"))
 
 Google_llms = Literal[
-    "gemini-2.5-pro-exp-03-25", "gemini-2.0-flash", "gemini-2.0-flash-lite"
+    "gemini-2.5-pro-preview-05-06", "gemini-2.0-flash", "gemini-2.0-flash-lite"
 ]