benchmarks[major]: bump core to 0.3

.github/workflows/ci.yml

@@ -31,12 +31,6 @@ jobs:
       working-directory: .
     secrets: inherit
 
-  pydantic-compatibility:
-    uses:
-      ./.github/workflows/_pydantic_compatibility.yml
-    with:
-      working-directory: .
-    secrets: inherit
   test:
     timeout-minutes: 5
     runs-on: ubuntu-latest

archived/langchain-docs-benchmarking/packages/anthropic-iterative-search/anthropic_iterative_search/chain.py

@@ -1,8 +1,8 @@
 from langchain.chat_models import ChatAnthropic
 from langchain.prompts import ChatPromptTemplate
-from langchain.pydantic_v1 import BaseModel
 from langchain.schema.output_parser import StrOutputParser
 from langchain.schema.runnable import RunnableLambda
+from pydantic import BaseModel
 
 from .prompts import answer_prompt
 from .retriever_agent import executor

archived/langchain-docs-benchmarking/packages/openai-functions-agent/openai_functions_agent/agent.py

@@ -4,12 +4,12 @@
 from langchain.agents.format_scratchpad import format_to_openai_functions
 from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
 from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
-from langchain.pydantic_v1 import BaseModel, Field
 from langchain.schema.messages import AIMessage, HumanMessage
 from langchain.tools import tool
 from langchain.tools.render import format_tool_to_openai_function
 from langchain_docs_retriever.retriever import get_retriever
 from langchain_openai import ChatOpenAI
+from pydantic import BaseModel, Field
 
 # This is used to tell the model how to best use the retriever.
 

langchain_benchmarks/extraction/tasks/chat_extraction/schema.py

@@ -1,7 +1,7 @@
 from enum import Enum
 from typing import List, Optional
 
-from langchain.pydantic_v1 import BaseModel, Field
+from pydantic import BaseModel, Field
 
 
 class QuestionCategory(str, Enum):

langchain_benchmarks/extraction/tasks/email_task.py

@@ -2,7 +2,7 @@
 from typing import List, Optional
 
 from langchain.prompts import ChatPromptTemplate
-from langchain.pydantic_v1 import BaseModel, Field
+from pydantic import BaseModel, Field
 
 from langchain_benchmarks.schema import ExtractionTask
 

langchain_benchmarks/extraction/tasks/high_cardinality/name_correction.py

@@ -1,7 +1,7 @@
 from langchain.smith import RunEvalConfig
-from langchain_core.pydantic_v1 import BaseModel, Field
 from langsmith.evaluation import EvaluationResult, run_evaluator
 from langsmith.schemas import Example, Run
+from pydantic import BaseModel, Field
 
 from langchain_benchmarks.schema import ExtractionTask
 

langchain_benchmarks/rag/utils/indexing.py

@@ -6,7 +6,6 @@
 from langchain.indexes import SQLRecordManager, index
 from langchain.output_parsers.openai_functions import JsonKeyOutputFunctionsParser
 from langchain.prompts import ChatPromptTemplate
-from langchain.pydantic_v1 import BaseModel
 from langchain.retrievers.multi_vector import MultiVectorRetriever
 from langchain.retrievers.parent_document_retriever import ParentDocumentRetriever
 from langchain.schema.document import Document
@@ -18,6 +17,7 @@
 from langchain.storage import InMemoryStore
 from langchain.text_splitter import RecursiveCharacterTextSplitter, TextSplitter
 from langchain_openai import ChatOpenAI
+from pydantic import BaseModel
 from tqdm.auto import tqdm
 
 logger = logging.getLogger(__name__)

langchain_benchmarks/tool_usage/tasks/query_analysis.py

@@ -1,10 +1,10 @@
 from datetime import datetime
 from typing import List, Literal, Union, cast
 
-from langchain.pydantic_v1 import BaseModel, Field
 from langchain.tools import BaseTool, tool
 from langchain_core.messages import HumanMessage
 from langsmith.client import Client
+from pydantic import BaseModel, Field
 
 from langchain_benchmarks.schema import ToolUsageEnvironment, ToolUsageTask