ci: update langchain version

apps/setting/models_provider/base_model_provider.py

@@ -11,7 +11,7 @@ from enum import Enum
 from functools import reduce
 from typing import Dict, Iterator, Type, List
 
-from pydantic.v1 import BaseModel
+from pydantic import BaseModel
 
 from common.exception.app_exception import AppApiException
 from django.utils.translation import gettext_lazy as _

apps/setting/models_provider/impl/base_chat_open_ai.py

@@ -10,7 +10,6 @@ from langchain_core.outputs import ChatGenerationChunk, ChatGeneration
 from langchain_core.runnables import RunnableConfig, ensure_config
 from langchain_core.utils.pydantic import is_basemodel_subclass
 from langchain_openai import ChatOpenAI
-from langchain_openai.chat_models.base import _convert_chunk_to_generation_chunk
 
 from common.config.tokenizer_manage_config import TokenizerManage
 
@@ -98,7 +97,7 @@ class BaseChatOpenAI(ChatOpenAI):
                 if not isinstance(chunk, dict):
                     chunk = chunk.model_dump()
 
-                generation_chunk = _convert_chunk_to_generation_chunk(
+                generation_chunk = super()._convert_chunk_to_generation_chunk(
                     chunk,
                     default_chunk_class,
                     base_generation_info if is_first_chunk else {},

apps/setting/models_provider/impl/gemini_model_provider/model/llm.py

@@ -9,16 +9,19 @@
 from typing import List, Dict, Optional, Sequence, Union, Any, Iterator, cast
 
 from google.ai.generativelanguage_v1 import GenerateContentResponse
-from google.generativeai.responder import ToolDict
-from google.generativeai.types import FunctionDeclarationType, SafetySettingDict
-from google.generativeai.types import Tool as GoogleTool
+from google.ai.generativelanguage_v1beta.types import (
+    Tool as GoogleTool,
+)
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.messages import BaseMessage
 from langchain_core.outputs import ChatGenerationChunk
 from langchain_google_genai import ChatGoogleGenerativeAI
-from langchain_google_genai._function_utils import _ToolConfigDict
-from langchain_google_genai.chat_models import _chat_with_retry, _response_to_result
-
+from langchain_google_genai._function_utils import _ToolConfigDict, _ToolDict
+from langchain_google_genai.chat_models import _chat_with_retry, _response_to_result, \
+    _FunctionDeclarationType
+from langchain_google_genai._common import (
+    SafetySettingDict,
+)
 from setting.models_provider.base_model_provider import MaxKBBaseModel
 
 
@@ -54,8 +57,8 @@ class GeminiChatModel(MaxKBBaseModel, ChatGoogleGenerativeAI):
             stop: Optional[List[str]] = None,
             run_manager: Optional[CallbackManagerForLLMRun] = None,
             *,
-            tools: Optional[Sequence[Union[ToolDict, GoogleTool]]] = None,
-            functions: Optional[Sequence[FunctionDeclarationType]] = None,
+            tools: Optional[Sequence[Union[_ToolDict, GoogleTool]]] = None,
+            functions: Optional[Sequence[_FunctionDeclarationType]] = None,
             safety_settings: Optional[SafetySettingDict] = None,
             tool_config: Optional[Union[Dict, _ToolConfigDict]] = None,
             generation_config: Optional[Dict[str, Any]] = None,

apps/setting/models_provider/impl/local_model_provider/model/embedding.py

@@ -10,7 +10,7 @@ from typing import Dict, List
 
 import requests
 from langchain_core.embeddings import Embeddings
-from langchain_core.pydantic_v1 import BaseModel
+from pydantic import BaseModel
 from langchain_huggingface import HuggingFaceEmbeddings
 
 from setting.models_provider.base_model_provider import MaxKBBaseModel

apps/setting/models_provider/impl/local_model_provider/model/reranker.py

@@ -6,7 +6,7 @@
     @date：2024/9/2 16:42
     @desc:
 """
-from typing import Sequence, Optional, Dict, Any
+from typing import Sequence, Optional, Dict, Any, ClassVar
 
 import requests
 import torch
@@ -69,7 +69,7 @@ class LocalBaseReranker(MaxKBBaseModel, BaseDocumentCompressor):
     tokenizer: Any = None
     model: Optional[str] = None
     cache_dir: Optional[str] = None
-    model_kwargs = {}
+    model_kwargs: ClassVar = {}
 
     def __init__(self, model_name, cache_dir=None, **model_kwargs):
         super().__init__()

apps/setting/models_provider/impl/ollama_model_provider/model/reranker.py

@@ -1,10 +1,11 @@
 from typing import Sequence, Optional, Any, Dict
+
+from langchain_community.embeddings import OllamaEmbeddings
 from langchain_core.callbacks import Callbacks
 from langchain_core.documents import Document
-from langchain_community.embeddings import OllamaEmbeddings
 from setting.models_provider.base_model_provider import MaxKBBaseModel
 from sklearn.metrics.pairwise import cosine_similarity
-from pydantic.v1 import BaseModel, Field
+from pydantic import BaseModel, Field
 
 
 class OllamaReranker(MaxKBBaseModel, OllamaEmbeddings, BaseModel):

apps/setting/models_provider/impl/tencent_model_provider/model/hunyuan.py

@@ -18,7 +18,7 @@ from langchain_core.messages import (
     HumanMessageChunk, SystemMessage,
 )
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
-from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
+from pydantic import Field, SecretStr, root_validator
 from langchain_core.utils import (
     convert_to_secret_str,
     get_from_dict_or_env,
@@ -137,7 +137,7 @@ class ChatHunyuan(BaseChatModel):
     class Config:
         """Configuration for this pydantic object."""
 
-        allow_population_by_field_name = True
+        validate_by_name = True
 
     @root_validator(pre=True)
     def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:

pyproject.toml

@@ -12,9 +12,16 @@ django = "4.2.18"
 djangorestframework = "^3.15.2"
 drf-yasg = "1.21.7"
 django-filter = "23.2"
-langchain = "0.2.16"
-langchain_community = "0.2.17"
-langchain-huggingface = "^0.0.3"
+langchain-openai = "^0.3.0"
+langchain-anthropic = "^0.3.0"
+langchain-community = "^0.3.0"
+langchain-deepseek = "^0.1.0"
+langchain-google-genai = "^2.0.9"
+langchain-mcp-adapters = "^0.0.5"
+langchain-huggingface = "^0.1.2"
+langchain-ollama = "^0.2.3"
+langgraph = "^0.3.0"
+mcp = "^1.4.1"
 psycopg2-binary = "2.9.10"
 jieba = "^0.42.1"
 diskcache = "^5.6.3"
@@ -28,8 +35,6 @@ qianfan = "^0.3.6.1"
 pycryptodome = "^3.19.0"
 beautifulsoup4 = "^4.12.2"
 html2text = "^2024.2.26"
-langchain-openai = "^0.1.8"
-langchain-ollama = "0.1.3"
 django-ipware = "^6.0.4"
 django-apscheduler = "^0.6.2"
 pymupdf = "1.24.9"
@@ -42,8 +47,6 @@ zhipuai = "^2.0.1"
 httpx = "^0.27.0"
 httpx-sse = "^0.4.0"
 websockets = "^13.0"
-langchain-google-genai = "^1.0.3"
-langchain-anthropic= "^0.1.0"
 openpyxl = "^3.1.2"
 xlrd = "^2.0.1"
 gunicorn = "^22.0.0"
@@ -55,7 +58,7 @@ psutil = "^6.0.0"
 celery = { extras = ["sqlalchemy"], version = "^5.4.0" }
 django-celery-beat = "^2.6.0"
 celery-once = "^3.0.1"
-anthropic = "^0.34.2"
+anthropic = "^0.39.0"
 pylint = "3.1.0"
 pydub = "^0.25.1"
 cffi = "^1.17.1"