adicionado sistema de seleção de provedor de llm para GROQ ou Open ai

config.py

@@ -39,6 +39,8 @@ class Settings:
         """Inicializa as configurações."""
         logger.debug("Carregando configurações do Redis...")
 
+        self.ACTIVE_LLM_PROVIDER = self.get_redis_value("ACTIVE_LLM_PROVIDER", "groq")
+        self.OPENAI_API_KEY = self.get_redis_value("OPENAI_API_KEY", "")
         self.GROQ_API_KEY = self.get_redis_value("GROQ_API_KEY", "gsk_default_key")
         self.BUSINESS_MESSAGE = self.get_redis_value("BUSINESS_MESSAGE", "*Impacte AI* Premium Services")
         self.PROCESS_GROUP_MESSAGES = self.get_redis_value("PROCESS_GROUP_MESSAGES", "false").lower() == "true"

manager.py

@@ -252,7 +252,7 @@ def login_page():
 # Modificar a função de logout no dashboard
 def dashboard():
     # Versão do sistema
-    APP_VERSION = "2.3.2"
+    APP_VERSION = "2.3.3"
     
     show_logo()
     st.sidebar.markdown('<div class="sidebar-header">TranscreveZAP - Menu</div>', unsafe_allow_html=True)
@@ -728,8 +728,9 @@ def manage_settings():
     st.title("⚙️ Configurações")
     
     # Criar tabs para melhor organização
-    tab1, tab2, tab3, tab4 = st.tabs([
+    tab1, tab2, tab3, tab4, tab5 = st.tabs([
         "🔑 Chaves API",
+        "🤖 Provedor LLM",
         "🌐 Configurações Gerais",
         "📝 Formatação de Mensagens",
         "🗣️ Idiomas e Transcrição"
@@ -787,6 +788,46 @@ def manage_settings():
         pass
     
     with tab2:
+        st.subheader("Configuração do Provedor LLM")
+        
+        # Select provider
+        current_provider = storage.get_llm_provider()
+        provider = st.selectbox(
+            "Provedor de Serviço",
+            options=["groq", "openai"],
+            format_func=lambda x: "Groq (Open Source)" if x == "groq" else "OpenAI (API Paga)",
+            index=0 if current_provider == "groq" else 1
+        )
+        
+        if provider == "openai":
+            st.info("""
+            A OpenAI é um serviço pago que requer uma chave API válida.
+            Obtenha sua chave em https://platform.openai.com
+            """)
+            
+            # OpenAI Key Management
+            openai_key = st.text_input(
+                "OpenAI API Key",
+                type="password",
+                help="Chave que começa com 'sk-'"
+            )
+            
+            if st.button("Adicionar Chave OpenAI"):
+                if openai_key and openai_key.startswith("sk-"):
+                    storage.add_openai_key(openai_key)
+                    st.success("✅ Chave OpenAI adicionada com sucesso!")
+                else:
+                    st.error("Chave inválida! Deve começar com 'sk-'")
+                    
+        # Save provider selection
+        if st.button("💾 Salvar Configuração do Provedor"):
+            try:
+                storage.set_llm_provider(provider)
+                st.success(f"Provedor alterado para: {provider}")
+            except Exception as e:
+                st.error(f"Erro ao salvar provedor: {str(e)}")
+    
+    with tab3:
         st.subheader("Configurações do Sistema")
     
         # Business Message
@@ -850,7 +891,7 @@ def manage_settings():
         )
         pass
     
-    with tab3:
+    with tab4:
         st.subheader("Formatação de Mensagens")
         
         # Headers personalizados
@@ -935,7 +976,7 @@ def manage_settings():
             st.error(f"Erro ao salvar configurações: {str(e)}")
 
     
-    with tab4:
+    with tab5:
         st.subheader("Idiomas e Transcrição")
         
         # Adicionar estatísticas no topo

openai_handler.py

@@ -0,0 +1,74 @@
+import aiohttp
+import json
+from datetime import datetime
+import logging
+from storage import StorageHandler
+
+logger = logging.getLogger("OpenAIHandler")
+logger.setLevel(logging.DEBUG)
+handler = logging.StreamHandler()
+formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+handler.setFormatter(formatter)
+logger.addHandler(handler)
+
+async def test_openai_key(key: str) -> bool:
+    """Test if an OpenAI key is valid and working."""
+    url = "https://api.openai.com/v1/models"
+    headers = {"Authorization": f"Bearer {key}"}
+
+    try:
+        async with aiohttp.ClientSession() as session:
+            async with session.get(url, headers=headers) as response:
+                if response.status == 200:
+                    data = await response.json()
+                    return len(data.get("data", [])) > 0
+                return False
+    except Exception as e:
+        logger.error(f"Error testing OpenAI key: {e}")
+        return False
+
+async def handle_openai_request(
+    url: str, 
+    headers: dict, 
+    data: any, 
+    storage: StorageHandler,
+    is_form_data: bool = False
+) -> tuple[bool, dict, str]:
+    """Handle requests to OpenAI API with retries."""
+    max_retries = 3
+    
+    for attempt in range(max_retries):
+        try:
+            async with aiohttp.ClientSession() as session:
+                if is_form_data:
+                    async with session.post(url, headers=headers, data=data) as response:
+                        response_data = await response.json()
+                        if response.status == 200:
+                            if is_form_data and response_data.get("text"):
+                                return True, response_data, ""
+                            elif not is_form_data and response_data.get("choices"):
+                                return True, response_data, ""
+                else:
+                    async with session.post(url, headers=headers, json=data) as response:
+                        response_data = await response.json()
+                        if response.status == 200 and response_data.get("choices"):
+                            return True, response_data, ""
+                
+                error_msg = response_data.get("error", {}).get("message", "")
+                
+                if "invalid_api_key" in error_msg or "invalid authorization" in error_msg.lower():
+                    logger.error(f"OpenAI API key invalid or expired")
+                    return False, response_data, error_msg
+                
+                if attempt < max_retries - 1:
+                    continue
+
+                return False, response_data, error_msg
+
+        except Exception as e:
+            logger.error(f"Error in request: {str(e)}")
+            if attempt < max_retries - 1:
+                continue
+            return False, {}, f"Request failed: {str(e)}"
+
+    return False, {}, "All retries failed"

services.py

@@ -47,6 +47,7 @@ async def summarize_text_if_needed(text):
     storage.add_log("DEBUG", "Iniciando processo de resumo", {
         "text_length": len(text)
     })
+    provider = storage.get_llm_provider()
     
     # Obter idioma configurado
     language = redis_client.get("TRANSCRIPTION_LANGUAGE") or "pt"
@@ -54,12 +55,20 @@ async def summarize_text_if_needed(text):
     "language": language,
     "redis_value": redis_client.get("TRANSCRIPTION_LANGUAGE")
     })
-    url_completions = "https://api.groq.com/openai/v1/chat/completions"
+    
-    groq_key = await get_working_groq_key(storage)
+    if provider == "openai":
-    if not groq_key:
+        api_key = storage.get_openai_keys()[0]
+        url = "https://api.openai.com/v1/chat/completions"
+        model = "gpt-4o-mini"
+    else:  # groq
+        url = "https://api.groq.com/openai/v1/chat/completions"
+        api_key = await get_working_groq_key(storage)
+        if not api_key:
             raise Exception("Nenhuma chave GROQ disponível")
+        model = "llama-3.3-70b-versatile"
+        
     headers = {
-        "Authorization": f"Bearer {groq_key}",
+        "Authorization": f"Bearer {api_key}",
         "Content-Type": "application/json",
     }
     
@@ -143,11 +152,11 @@ async def summarize_text_if_needed(text):
             "role": "user",
             "content": f"{base_prompt}\n\nTexto para resumir: {text}",
         }],
-        "model": "llama-3.3-70b-versatile",
+        "model": model,
     }
 
     try:
-        success, response_data, error = await handle_groq_request(url_completions, headers, json_data, storage, is_form_data=False)
+        success, response_data, error = await handle_groq_request(url, headers, json_data, storage, is_form_data=False)
         if not success:
            raise Exception(error)
        
@@ -195,12 +204,20 @@ async def transcribe_audio(audio_source, apikey=None, remote_jid=None, from_me=F
         "from_me": from_me,
         "remote_jid": remote_jid
     })
+    provider = storage.get_llm_provider()
     
-    url = "https://api.groq.com/openai/v1/audio/transcriptions"
+    if provider == "openai":
-    groq_key = await get_working_groq_key(storage)
+        api_key = storage.get_openai_keys()[0]  # Get first OpenAI key
-    if not groq_key:
+        url = "https://api.openai.com/v1/audio/transcriptions"
+        model = "whisper-1"
+    else:  # groq
+        api_key = await get_working_groq_key(storage)
+        if not api_key:
             raise Exception("Nenhuma chave GROQ disponível")
-    groq_headers = {"Authorization": f"Bearer {groq_key}"}
+        url = "https://api.groq.com/openai/v1/audio/transcriptions"
+        model = "whisper-large-v3"
+
+    headers = {"Authorization": f"Bearer {api_key}"}
     
     # Inicializar variáveis
     contact_language = None
@@ -238,9 +255,9 @@ async def transcribe_audio(audio_source, apikey=None, remote_jid=None, from_me=F
                     with open(audio_source, 'rb') as audio_file:
                         data = aiohttp.FormData()
                         data.add_field('file', audio_file, filename='audio.mp3')
-                        data.add_field('model', 'whisper-large-v3')
+                        data.add_field('model', model)
 
-                        success, response_data, error = await handle_groq_request(url, groq_headers, data, storage, is_form_data=True)
+                        success, response_data, error = await handle_groq_request(url, headers, data, storage, is_form_data=True)
                         if success:
                             initial_text = response_data.get("text", "")
 
@@ -311,14 +328,14 @@ async def transcribe_audio(audio_source, apikey=None, remote_jid=None, from_me=F
         with open(audio_source, 'rb') as audio_file:
             data = aiohttp.FormData()
             data.add_field('file', audio_file, filename='audio.mp3')
-            data.add_field('model', 'whisper-large-v3')
+            data.add_field('model', model)
             data.add_field('language', transcription_language)
 
             if use_timestamps:
                 data.add_field('response_format', 'verbose_json')
 
             # Usar handle_groq_request para ter retry e validação
-            success, response_data, error = await handle_groq_request(url, groq_headers, data, storage, is_form_data=True)
+            success, response_data, error = await handle_groq_request(url, headers, data, storage, is_form_data=True)
             if not success:
                 raise Exception(f"Erro na transcrição: {error}")
 
@@ -428,6 +445,7 @@ async def detect_language(text: str) -> str:
     Returns:
         str: Código ISO 639-1 do idioma detectado
     """
+    provider = storage.get_llm_provider()
     storage.add_log("DEBUG", "Iniciando detecção de idioma", {
         "text_length": len(text)
     })
@@ -437,14 +455,19 @@ async def detect_language(text: str) -> str:
         "pt", "en", "es", "fr", "de", "it", "ja", "ko", 
         "zh", "ro", "ru", "ar", "hi", "nl", "pl", "tr"
     }
-    
+    if provider == "openai":
-    url_completions = "https://api.groq.com/openai/v1/chat/completions"
+        api_key = storage.get_openai_keys()[0]
-    groq_key = await get_working_groq_key(storage)
+        url = "https://api.openai.com/v1/chat/completions"
-    if not groq_key:
+        model = "gpt-4o-mini"
+    else:  # groq
+        url = "https://api.groq.com/openai/v1/chat/completions"
+        api_key = await get_working_groq_key(storage)
+        if not api_key:
             raise Exception("Nenhuma chave GROQ disponível")
+        model = "llama-3.3-70b-versatile"
         
     headers = {
-        "Authorization": f"Bearer {groq_key}",
+        "Authorization": f"Bearer {api_key}",
         "Content-Type": "application/json",
     }
     
@@ -473,12 +496,12 @@ async def detect_language(text: str) -> str:
             "role": "user",
             "content": f"{prompt}\n\n{text[:500]}"  # Limitando para os primeiros 500 caracteres
         }],
-        "model": "llama-3.3-70b-versatile",
+        "model": model,
         "temperature": 0.1
     }
 
     try:
-        success, response_data, error = await handle_groq_request(url_completions, headers, json_data, storage, is_form_data=False)
+        success, response_data, error = await handle_groq_request(url, headers, json_data, storage, is_form_data=False)
         if not success:
             raise Exception(f"Falha na detecção de idioma: {error}")
         
@@ -651,6 +674,7 @@ async def translate_text(text: str, source_language: str, target_language: str)
     Returns:
         str: Texto traduzido
     """
+    provider = storage.get_llm_provider()
     storage.add_log("DEBUG", "Iniciando tradução", {
        "source_language": source_language,
        "target_language": target_language,
@@ -661,13 +685,19 @@ async def translate_text(text: str, source_language: str, target_language: str)
     if source_language == target_language:
         return text
    
-   url_completions = "https://api.groq.com/openai/v1/chat/completions"
+    if provider == "openai":
-   groq_key = await get_working_groq_key(storage)
+        api_key = storage.get_openai_keys()[0]
-   if not groq_key:
+        url = "https://api.openai.com/v1/chat/completions"
+        model = "gpt-4o-mini"
+    else:  # groq
+        url = "https://api.groq.com/openai/v1/chat/completions"
+        api_key = await get_working_groq_key(storage)
+        if not api_key:
             raise Exception("Nenhuma chave GROQ disponível")
+        model = "llama-3.3-70b-versatile"
         
     headers = {
-       "Authorization": f"Bearer {groq_key}",
+        "Authorization": f"Bearer {api_key}",
         "Content-Type": "application/json",
     }
    
@@ -695,12 +725,12 @@ async def translate_text(text: str, source_language: str, target_language: str)
             "role": "user",
             "content": prompt
         }],
-       "model": "llama-3.3-70b-versatile",
+        "model": model,
         "temperature": 0.3
     }
 
     try:
-       success, response_data, error = await handle_groq_request(url_completions, headers, json_data, storage, is_form_data=False)
+        success, response_data, error = await handle_groq_request(url, headers, json_data, storage, is_form_data=False)
         if not success:
             raise Exception(f"Falha na tradução: {error}")
         

storage.py

@@ -694,3 +694,24 @@ class StorageHandler:
         self.redis.lpush(key, json.dumps(failed_delivery))
         # Manter apenas as últimas 100 falhas
         self.redis.ltrim(key, 0, 99)
+    
+    def get_llm_provider(self) -> str:
+        """Returns active LLM provider (groq or openai)"""
+        return self.redis.get(self._get_redis_key("active_llm_provider")) or "groq"
+    
+    def set_llm_provider(self, provider: str):
+        """Sets active LLM provider"""
+        if provider not in ["groq", "openai"]:
+            raise ValueError("Provider must be 'groq' or 'openai'")
+        self.redis.set(self._get_redis_key("active_llm_provider"), provider)
+    
+    def get_openai_keys(self) -> List[str]:
+        """Get stored OpenAI API keys"""
+        return list(self.redis.smembers(self._get_redis_key("openai_keys")))
+    
+    def add_openai_key(self, key: str):
+        """Add OpenAI API key"""
+        if key and key.startswith("sk-"):
+            self.redis.sadd(self._get_redis_key("openai_keys"), key)
+            return True
+        return False