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templates[patch]: fix pydantic imports (#14632)

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Erick Friis 2023-12-12 15:31:14 -08:00 committed by GitHub
parent 945f6eb5d6
commit b885880344
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7 changed files with 7 additions and 7 deletions
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2
templates/chat-bot-feedback/chat_bot_feedback/chain.py
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@ -15,10 +15,10 @@ from langchain.schema import (
StrOutputParser,
get_buffer_string,
)
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.runnables import Runnable
from langsmith.evaluation import EvaluationResult, RunEvaluator
from langsmith.schemas import Example
from pydantic import BaseModel, Field
###############################################################################
# | Chat Bot Evaluator Definition

2
templates/plate-chain/plate_chain/utils.py
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@ -1,6 +1,6 @@
import json
from pydantic import BaseModel, Field, conint
from langchain_core.pydantic_v1 import BaseModel, Field, conint
class LLMPlateResponse(BaseModel):

2
templates/rag-conversation/rag_conversation/chain.py
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@ -9,13 +9,13 @@ from langchain.prompts.prompt import PromptTemplate
from langchain.schema import AIMessage, HumanMessage, format_document
from langchain.vectorstores import Pinecone
from langchain_core.output_parsers import StrOutputParser
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.runnables import (
RunnableBranch,
RunnableLambda,
RunnableParallel,
RunnablePassthrough,
)
from pydantic import BaseModel, Field
if os.environ.get("PINECONE_API_KEY", None) is None:
raise Exception("Missing `PINECONE_API_KEY` environment variable.")

2
templates/rag-elasticsearch/rag_elasticsearch/chain.py
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@ -6,8 +6,8 @@ from langchain.embeddings import HuggingFaceEmbeddings
from langchain.schema import BaseMessage, format_document
from langchain.vectorstores.elasticsearch import ElasticsearchStore
from langchain_core.output_parsers import StrOutputParser
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.runnables import RunnableParallel, RunnablePassthrough
from pydantic import BaseModel, Field
from .connection import es_connection_details
from .prompts import CONDENSE_QUESTION_PROMPT, DOCUMENT_PROMPT, LLM_CONTEXT_PROMPT

2
templates/rag-self-query/rag_self_query/chain.py
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@ -8,8 +8,8 @@ from langchain.retrievers import SelfQueryRetriever
from langchain.schema import format_document
from langchain.vectorstores.elasticsearch import ElasticsearchStore
from langchain_core.output_parsers import StrOutputParser
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.runnables import RunnableParallel, RunnablePassthrough
from pydantic.v1 import BaseModel, Field
from .prompts import CONDENSE_QUESTION_PROMPT, DOCUMENT_PROMPT, LLM_CONTEXT_PROMPT

2
templates/rag-timescale-conversation/rag_timescale_conversation/chain.py
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@ -11,13 +11,13 @@ from langchain.prompts.prompt import PromptTemplate
from langchain.schema import AIMessage, HumanMessage, format_document
from langchain.vectorstores.timescalevector import TimescaleVector
from langchain_core.output_parsers import StrOutputParser
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.runnables import (
RunnableBranch,
RunnableLambda,
RunnableParallel,
RunnablePassthrough,
)
from pydantic import BaseModel, Field
from .load_sample_dataset import load_ts_git_dataset

2
templates/rag-timescale-hybrid-search-time/rag_timescale_hybrid_search_time/chain.py
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@ -11,8 +11,8 @@ from langchain.prompts import ChatPromptTemplate
from langchain.retrievers.self_query.base import SelfQueryRetriever
from langchain.vectorstores.timescalevector import TimescaleVector
from langchain_core.output_parsers import StrOutputParser
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables import RunnableParallel, RunnablePassthrough
from pydantic import BaseModel
from .load_sample_dataset import load_ts_git_dataset