Add openrouter model
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dimitrievgs
parent
bc6de735d8
commit
606cef3040
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@ -55,14 +55,17 @@ MODELS: Dict[str, Dict[str, Any]] = {
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"capabilities": ["vision"],
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},
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"gemini-2.5-flash-openrouter": {
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"name": "gemini-2.5-flash-openrouter",
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"provider": "openai", # Изменено на "openai"
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"model_name": "gemini-2.5-flash", # Добавлено имя модели для LangChain
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"apiBase":
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"https://openrouter.ai", # "generativelanguage.googleapis.com", # "https://render-service-gsu7.onrender.com/g/v1beta",
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"apiKey": "AIzaSyDpueKFWVqknVKlQn6TdasLmJ2lvAUiBik",
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"name": "google/gemini-2.5-flash",
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"provider": "openai",
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"model_name": "google/gemini-2.5-flash",
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"apiBase": "https://openrouter.ai/api/v1", # Добавлено /api/v1
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"apiKey":
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"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",
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"stream": True,
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"capabilities": ["vision"],
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"capabilities": ["vision", "reasoning"],
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"model_kwargs": {
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"include_reasoning": True
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}
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},
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"gemini-2.5-flash-bh": {
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"name": "gemini-2.5-flash",
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@ -77,7 +80,8 @@ MODELS: Dict[str, Dict[str, Any]] = {
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"gemini-3-flash-preview-bh": {
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"name": "gemini-3-flash-preview",
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"provider": "openai", # Изменено на "openai"
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"model_name": "gemini-3-flash-preview", # Добавлено имя модели для LangChain
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"model_name":
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"gemini-3-flash-preview", # Добавлено имя модели для LangChain
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"apiBase": "https://bothub.chat/api/v2/openai/v1",
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"apiKey":
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"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6ImQ3MTMwYTk0LTJiNmMtNDgzZi04Y2NiLWM5MjgwNzlmNDFlZSIsImlzRGV2ZWxvcGVyIjp0cnVlLCJpYXQiOjE3NTQ0NzYwMDcsImV4cCI6MjA3MDA1MjAwN30._64_DXNZatdd4-4VbXp8dOXdDhIlNWMQt9A_Nn6mu3g",
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@ -87,7 +91,8 @@ MODELS: Dict[str, Dict[str, Any]] = {
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"gemini-3.1-pro-preview-bh": {
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"name": "gemini-3.1-pro-preview",
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"provider": "openai", # Изменено на "openai"
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"model_name": "gemini-3.1-pro-preview", # Добавлено имя модели для LangChain
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"model_name":
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"gemini-3.1-pro-preview", # Добавлено имя модели для LangChain
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"apiBase": "https://bothub.chat/api/v2/openai/v1",
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"apiKey":
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"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6ImQ3MTMwYTk0LTJiNmMtNDgzZi04Y2NiLWM5MjgwNzlmNDFlZSIsImlzRGV2ZWxvcGVyIjp0cnVlLCJpYXQiOjE3NTQ0NzYwMDcsImV4cCI6MjA3MDA1MjAwN30._64_DXNZatdd4-4VbXp8dOXdDhIlNWMQt9A_Nn6mu3g",
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@ -97,7 +102,8 @@ MODELS: Dict[str, Dict[str, Any]] = {
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"claude-4.5-sonnet-bh": {
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"name": "claude-4.5-sonnet-bh",
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"provider": "openai", # Изменено на "openai"
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"model_name": "claude-sonnet-4.5", # Добавлено имя модели для LangChain
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"model_name":
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"claude-sonnet-4.5", # Добавлено имя модели для LangChain
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"apiBase": "https://bothub.chat/api/v2/openai/v1",
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"apiKey":
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"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6ImQ3MTMwYTk0LTJiNmMtNDgzZi04Y2NiLWM5MjgwNzlmNDFlZSIsImlzRGV2ZWxvcGVyIjp0cnVlLCJpYXQiOjE3NTQ0NzYwMDcsImV4cCI6MjA3MDA1MjAwN30._64_DXNZatdd4-4VbXp8dOXdDhIlNWMQt9A_Nn6mu3g",
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@ -107,9 +113,9 @@ MODELS: Dict[str, Dict[str, Any]] = {
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"mistral-small-latest": {
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"name": "mistral-small-latest",
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"provider": "mistralai",
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"model_name": "mistral-small-latest", # Добавлено имя модели для LangChain
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"apiBase":
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"https://api.mistral.ai",
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"model_name":
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"mistral-small-latest", # Добавлено имя модели для LangChain
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"apiBase": "https://api.mistral.ai",
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"apiKey": "Q0m29fvxBY0Cfdj4sjHaKqccy1NjonLW",
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"stream": True,
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"capabilities": ["vision"],
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@ -117,9 +123,9 @@ MODELS: Dict[str, Dict[str, Any]] = {
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"mistral-small-latest-r": {
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"name": "mistral-small-latest",
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"provider": "mistralai",
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"model_name": "mistral-small-latest", # Добавлено имя модели для LangChain
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"apiBase":
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"https://render-service-gsu7.onrender.com/m",
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"model_name":
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"mistral-small-latest", # Добавлено имя модели для LangChain
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"apiBase": "https://render-service-gsu7.onrender.com/m",
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"apiKey": "Q0m29fvxBY0Cfdj4sjHaKqccy1NjonLW",
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"stream": True,
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"capabilities": ["vision"],
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@ -127,9 +133,9 @@ MODELS: Dict[str, Dict[str, Any]] = {
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"mistral-small-latest-error": {
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"name": "mistral-small-latest",
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"provider": "mistralai",
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"model_name": "mistral-small-latest-error", # Добавлено имя модели для LangChain
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"apiBase":
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"https://render-service-gsu7.onrender.com/m",
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"model_name":
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"mistral-small-latest-error", # Добавлено имя модели для LangChain
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"apiBase": "https://render-service-gsu7.onrender.com/m",
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"apiKey": "Q0m29fvxBY0Cfdj4sjHaKqccy1NjonLW",
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"stream": True,
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"capabilities": ["vision"],
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@ -152,14 +158,14 @@ class CustomLLM:
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if self.provider == "openai":
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# Инициализация Gemini через OpenAI API
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self.client = OpenAI(api_key=config["apiKey"],
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base_url=config["apiBase"])
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base_url=config["apiBase"])
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self.model_name = config["model_name"]
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self.stream = config["stream"]
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elif self.provider == "mistralai":
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# Для Mistral используем прямые HTTP-запросы
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self.client = Mistral(api_key=config["apiKey"],
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server_url=config["apiBase"])
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server_url=config["apiBase"])
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self.model_name = config["model_name"]
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self.stream = config["stream"]
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# self.capabilities = config.get("capabilities", [])
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@ -233,7 +239,10 @@ class CustomLLM:
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elif self.provider == "mistralai":
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mistralai_messages = []
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if isinstance(messages, str):
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mistralai_messages.append({"role": "user", "content": messages})
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mistralai_messages.append({
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"role": "user",
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"content": messages
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})
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elif isinstance(messages, list):
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for msg in messages:
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if isinstance(msg, HumanMessage):
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@ -261,16 +270,16 @@ class CustomLLM:
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})
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try:
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response = self.client.chat.stream(
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model=self.model_name,
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messages=mistralai_messages
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)
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response = self.client.chat.stream(model=self.model_name,
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messages=mistralai_messages)
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if self.stream:
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collected_messages = []
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for chunk in response:
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delta = chunk.data.choices[0].delta
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chunk_message = getattr(delta, "content", None) # или delta.content, если всегда есть
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chunk_message = getattr(
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delta, "content",
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None) # или delta.content, если всегда есть
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if chunk_message is not None:
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collected_messages.append(chunk_message)
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@ -320,10 +329,8 @@ class CustomLLM:
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mistralai_messages = self._prepare_mistralai_messages(messages)
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try:
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response = self.client.chat.stream(
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model=self.model_name,
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messages=mistralai_messages
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)
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response = self.client.chat.stream(model=self.model_name,
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messages=mistralai_messages)
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for chunk in response:
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delta = chunk.data.choices[0].delta
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@ -343,7 +350,8 @@ class CustomLLM:
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print(f"Ошибка при стриминге Mistral API: {e}")
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raise
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def _prepare_openai_messages(self, messages: List[Any]) -> List[Dict[str, str]]:
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def _prepare_openai_messages(self,
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messages: List[Any]) -> List[Dict[str, str]]:
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"""Подготавливает сообщения в формате OpenAI."""
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openai_messages = []
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if isinstance(messages, str):
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@ -351,19 +359,31 @@ class CustomLLM:
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elif isinstance(messages, list):
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for msg in messages:
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if isinstance(msg, HumanMessage):
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openai_messages.append({"role": "user", "content": msg.content})
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openai_messages.append({
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"role": "user",
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"content": msg.content
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})
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elif isinstance(msg, SystemMessage):
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openai_messages.append({"role": "system", "content": msg.content})
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openai_messages.append({
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"role": "system",
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"content": msg.content
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})
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elif isinstance(msg, AIMessage):
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openai_messages.append({"role": "assistant", "content": msg.content})
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openai_messages.append({
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"role": "assistant",
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"content": msg.content
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})
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else:
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openai_messages.append({
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"role": msg.type if hasattr(msg, 'type') else 'user',
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"content": msg.content
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"role":
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msg.type if hasattr(msg, 'type') else 'user',
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"content":
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msg.content
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})
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return openai_messages
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def _prepare_mistralai_messages(self, messages: List[Any]) -> List[Dict[str, str]]:
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def _prepare_mistralai_messages(
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self, messages: List[Any]) -> List[Dict[str, str]]:
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"""Подготавливает сообщения в формате Mistral AI."""
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mistralai_messages = []
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if isinstance(messages, str):
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@ -371,15 +391,26 @@ class CustomLLM:
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elif isinstance(messages, list):
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for msg in messages:
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if isinstance(msg, HumanMessage):
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mistralai_messages.append({"role": "user", "content": msg.content})
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mistralai_messages.append({
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"role": "user",
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"content": msg.content
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})
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elif isinstance(msg, SystemMessage):
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mistralai_messages.append({"role": "system", "content": msg.content})
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mistralai_messages.append({
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"role": "system",
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"content": msg.content
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})
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elif isinstance(msg, AIMessage):
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mistralai_messages.append({"role": "assistant", "content": msg.content})
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mistralai_messages.append({
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"role": "assistant",
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"content": msg.content
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})
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else:
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mistralai_messages.append({
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"role": msg.type if hasattr(msg, 'type') else 'user',
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"content": msg.content
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"role":
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msg.type if hasattr(msg, 'type') else 'user',
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"content":
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msg.content
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})
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return mistralai_messages
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