docs: remove mentions of pydantic_v1 in tutorials (#1709)

docs/docs/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb

@@ -305,9 +305,11 @@
    "source": [
     "from langchain.smith import RunEvalConfig\n",
     "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
+    "\n",
     "\n",
     "class RedTeamingResult(BaseModel):\n",
     "    reasoning: str = Field(description=\"Reasoning behind whether you consider the \")\n",

docs/docs/tutorials/chatbots/information-gather-prompting.ipynb

@@ -94,8 +94,10 @@
     "from typing import List\n",
     "\n",
     "from langchain_core.messages import SystemMessage\n",
-    "from langchain_core.pydantic_v1 import BaseModel\n",
-    "from langchain_openai import ChatOpenAI"
+    "from langchain_openai import ChatOpenAI\n",
+    "\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel"
    ]
   },
   {

docs/docs/tutorials/code_assistant/langgraph_code_assistant.ipynb

@@ -138,8 +138,9 @@
    "outputs": [],
    "source": [
     "from langchain_core.prompts import ChatPromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_openai import ChatOpenAI\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "### OpenAI\n",
     "\n",
@@ -185,7 +186,6 @@
    "source": [
     "from langchain_anthropic import ChatAnthropic\n",
     "from langchain_core.prompts import ChatPromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "\n",
     "### Anthropic\n",
     "\n",
@@ -366,8 +366,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
-    "\n",
     "### Parameter\n",
     "\n",
     "# Max tries\n",
@@ -782,7 +780,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

docs/docs/tutorials/customer-support/customer-support.ipynb

@@ -3105,8 +3105,9 @@
     "from langchain_anthropic import ChatAnthropic\n",
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
     "from langchain_core.prompts import ChatPromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_core.runnables import Runnable, RunnableConfig\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "\n",
     "class Assistant:\n",

docs/docs/tutorials/extraction/retries.ipynb

@@ -394,7 +394,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_core.pydantic_v1 import BaseModel, Field, validator\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field, field_validator\n",
     "\n",
     "\n",
     "class Respond(BaseModel):\n",
@@ -403,7 +404,7 @@
     "    reason: str = Field(description=\"Step-by-step justification for the answer.\")\n",
     "    answer: str\n",
     "\n",
-    "    @validator(\"answer\")\n",
+    "    @field_validator(\"answer\")\n",
     "    def reason_contains_apology(cls, answer: str):\n",
     "        if \"llama\" not in answer.lower():\n",
     "            raise ValueError(\n",
@@ -1038,7 +1039,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

docs/docs/tutorials/introduction.ipynb

@@ -2102,8 +2102,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_core.pydantic_v1 import BaseModel\n",
-    "\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel\n",
     "\n",
     "class RequestAssistance(BaseModel):\n",
     "    \"\"\"Escalate the conversation to an expert. Use this if you are unable to assist directly or if the user requires support beyond your permissions.\n",
@@ -2519,7 +2519,8 @@
     "from langchain_anthropic import ChatAnthropic\n",
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
     "from langchain_core.messages import BaseMessage\n",
-    "from langchain_core.pydantic_v1 import BaseModel\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel\n",
     "from typing_extensions import TypedDict\n",
     "\n",
     "from langgraph.checkpoint.memory import MemorySaver\n",
@@ -2649,7 +2650,8 @@
     "from langchain_anthropic import ChatAnthropic\n",
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
     "from langchain_core.messages import AIMessage, ToolMessage\n",
-    "from langchain_core.pydantic_v1 import BaseModel\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel\n",
     "from typing_extensions import TypedDict\n",
     "\n",
     "from langgraph.checkpoint.memory import MemorySaver\n",
@@ -3051,7 +3053,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "env",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },

docs/docs/tutorials/lats/lats.ipynb

@@ -335,8 +335,9 @@
     "    PydanticToolsParser,\n",
     ")\n",
     "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_core.runnables import chain as as_runnable\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "\n",
     "class Reflection(BaseModel):\n",

docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb

@@ -617,7 +617,8 @@
    "outputs": [],
    "source": [
     "from langchain_core.messages import AIMessage\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "\n",
     "class FinalResponse(BaseModel):\n",

docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb

@@ -238,7 +238,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "\n",
     "class Plan(BaseModel):\n",

docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb

@@ -169,8 +169,10 @@
     "from typing import Literal\n",
     "\n",
     "from langchain_core.prompts import ChatPromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_openai import ChatOpenAI\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
+    "\n",
     "\n",
     "\n",
     "# Data model\n",
@@ -922,7 +924,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

docs/docs/tutorials/rag/langgraph_agentic_rag.ipynb

@@ -216,8 +216,10 @@
     "from langchain_core.messages import BaseMessage, HumanMessage\n",
     "from langchain_core.output_parsers import StrOutputParser\n",
     "from langchain_core.prompts import PromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_openai import ChatOpenAI\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
+    "\n",
     "\n",
     "from langgraph.prebuilt import tools_condition\n",
     "\n",
@@ -531,7 +533,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

docs/docs/tutorials/rag/langgraph_crag.ipynb

@@ -157,8 +157,9 @@
     "### Retrieval Grader\n",
     "\n",
     "from langchain_core.prompts import ChatPromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_openai import ChatOpenAI\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "\n",
     "# Data model\n",
@@ -693,7 +694,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

docs/docs/tutorials/rag/langgraph_self_rag.ipynb

@@ -177,8 +177,9 @@
     "\n",
     "\n",
     "from langchain_core.prompts import ChatPromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_openai import ChatOpenAI\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "\n",
     "# Data model\n",
@@ -784,7 +785,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

docs/docs/tutorials/reflexion/reflexion.ipynb

@@ -150,7 +150,8 @@
     "from langchain_core.messages import HumanMessage, ToolMessage\n",
     "from langchain_core.output_parsers.openai_tools import PydanticToolsParser\n",
     "from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field, ValidationError\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "\n",
     "class Reflection(BaseModel):\n",

docs/docs/tutorials/sql-agent.ipynb

@@ -526,8 +526,9 @@
     "from typing import Annotated, Literal\n",
     "\n",
     "from langchain_core.messages import AIMessage\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
     "from langchain_openai import ChatOpenAI\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "from typing_extensions import TypedDict\n",
     "\n",
     "from langgraph.graph import END, StateGraph, START\n",

docs/docs/tutorials/usaco/usaco.ipynb

@@ -348,7 +348,8 @@
    "source": [
     "from langchain_core.language_models import BaseChatModel\n",
     "from langchain_core.prompts import ChatPromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
+    "# NOTE: you must use langchain-core >= 0.3 with Pydantic v2\n",
+    "from pydantic import BaseModel, Field\n",
     "\n",
     "\n",
     "class writePython(BaseModel):\n",