fix: prompt do gerar ementa

_utils/gerar_documento_utils/utils.py

@@ -88,7 +88,7 @@ async def get_response_from_auxiliar_contextual_prompt(full_text_as_array: List[
 
 def split_text_by_tokens(full_text: str):
     tokens = encoding.encode(full_text)
-    max_tokens = 60000
+    max_tokens = 600000
 
     # Divide os tokens em partes de no máximo max_tokens
     token_chunks = [

gerar_documento/views.py

@@ -164,7 +164,8 @@ class GerarEmentaView(AsyncAPIView):
                     text_splitted_by_tokens = split_text_by_tokens(full_text)
                     for text in text_splitted_by_tokens:
                         prompt_template = PromptTemplate(
-                            input_variables=["context"], template=obj.user_message
+                            input_variables=["context"],
+                            template=obj.prompt_gerar_documento,
                         )
                         texto_da_parte = await gerar_documento_instance.checar_se_resposta_vazia_do_documento_final(
                             obj.llm_ultimas_requests,
@@ -267,7 +268,8 @@ class GerarEmentaComPDFProprioView(AsyncAPIView):
             text_splitted_by_tokens = split_text_by_tokens(full_text)
             for text in text_splitted_by_tokens:
                 prompt_template = PromptTemplate(
-                    input_variables=["context"], template=serializer_obj.user_message
+                    input_variables=["context"],
+                    template=serializer_obj.prompt_gerar_documento,
                 )
                 texto_da_parte = await gerar_documento_instance.checar_se_resposta_vazia_do_documento_final(
                     serializer_obj.llm_ultimas_requests,