order

templates/anthropic-iterative-search/anthropic_iterative_search/chain.py

@@ -1,6 +1,6 @@
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatAnthropic
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import ConfigurableField
 

templates/anthropic-iterative-search/anthropic_iterative_search/retriever_agent.py

@@ -1,7 +1,7 @@
 from langchain.agents import AgentExecutor
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatAnthropic
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough
 
 from .agent_scratchpad import format_agent_scratchpad

templates/basic-critique-revise/basic_critique_revise/chain.py

@@ -5,8 +5,8 @@
 from typing import Any, Dict, Sequence
 
 from langchain.chains.openai_functions import convert_to_openai_function
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel, Field, ValidationError, conint
 from langchain_core.runnables import (
     Runnable,

templates/bedrock-jcvd/bedrock_jcvd/chain.py

@@ -1,7 +1,7 @@
 import os
 
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import BedrockChat
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import ConfigurableField
 
 # For a description of each inference parameter, see

templates/cassandra-entomology-rag/cassandra_entomology_rag/__init__.py

@@ -1,11 +1,11 @@
 import os
 
 import cassio
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import Cassandra
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnablePassthrough
 
 from .populate_vector_store import populate

templates/cassandra-synonym-caching/cassandra_synonym_caching/__init__.py

@@ -3,9 +3,9 @@
 import cassio
 import langchain
 from langchain.cache import CassandraCache
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.schema import BaseMessage
 from langchain_community.chat_models import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnableLambda
 
 use_cassandra = int(os.environ.get("USE_CASSANDRA_CLUSTER", "0"))

templates/chat-bot-feedback/chat_bot_feedback/chain.py

@@ -6,7 +6,6 @@
 from langchain.callbacks.tracers.evaluation import EvaluatorCallbackHandler
 from langchain.callbacks.tracers.schemas import Run
 from langchain.output_parsers.openai_functions import JsonOutputFunctionsParser
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain.schema import (
     AIMessage,
     BaseMessage,
@@ -15,6 +14,7 @@
     get_buffer_string,
 )
 from langchain_community.chat_models import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.runnables import Runnable
 from langsmith.evaluation import EvaluationResult, RunEvaluator

templates/cohere-librarian/cohere_librarian/blurb_matcher.py

@@ -1,9 +1,9 @@
 import csv
 
 from langchain.chains.question_answering import load_qa_chain
-from langchain_core.prompts import PromptTemplate
 from langchain_community.embeddings import CohereEmbeddings
 from langchain_community.vectorstores import Chroma
+from langchain_core.prompts import PromptTemplate
 
 from .chat import chat
 

templates/cohere-librarian/cohere_librarian/router.py

@@ -1,5 +1,5 @@
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnableBranch
 
 from .blurb_matcher import book_rec_chain

templates/csv-agent/csv_agent/agent.py

@@ -2,11 +2,11 @@
 
 import pandas as pd
 from langchain.agents import AgentExecutor, OpenAIFunctionsAgent
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain.tools.retriever import create_retriever_tool
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import FAISS
+from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_experimental.tools import PythonAstREPLTool
 

templates/extraction-anthropic-functions/extraction_anthropic_functions/chain.py

@@ -1,8 +1,8 @@
 from typing import List, Optional
 
 from langchain.output_parsers.openai_functions import JsonKeyOutputFunctionsParser
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.utils.openai_functions import convert_pydantic_to_openai_function
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_experimental.llms.anthropic_functions import AnthropicFunctions
 

templates/extraction-openai-functions/extraction_openai_functions/chain.py

@@ -1,9 +1,9 @@
 import json
 from typing import List, Optional
 
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.utils.openai_functions import convert_pydantic_to_openai_function
 from langchain_community.chat_models import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 
 template = """A article will be passed to you. Extract from it all papers that are mentioned by this article. 

templates/guardrails-output-parser/guardrails_output_parser/chain.py

@@ -1,6 +1,6 @@
 from langchain.output_parsers import GuardrailsOutputParser
-from langchain_core.prompts import PromptTemplate
 from langchain_community.llms import OpenAI
+from langchain_core.prompts import PromptTemplate
 
 # Define rail string
 

templates/hybrid-search-weaviate/hybrid_search_weaviate/chain.py

@@ -1,10 +1,10 @@
 import os
 
 import weaviate
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.retrievers.weaviate_hybrid_search import WeaviateHybridSearchRetriever
 from langchain_community.chat_models import ChatOpenAI
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough
 
 # Check env vars

templates/hyde/hyde/chain.py

@@ -1,8 +1,8 @@
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnableParallel
 

templates/llama2-functions/llama2_functions/chain.py

@@ -1,5 +1,5 @@
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.llms import Replicate
+from langchain_core.prompts import ChatPromptTemplate
 
 # LLM
 replicate_id = "andreasjansson/llama-2-13b-chat-gguf:60ec5dda9ff9ee0b6f786c9d1157842e6ab3cc931139ad98fe99e08a35c5d4d4"  # noqa: E501

templates/mongo-parent-document-retrieval/mongo_parent_document_retrieval/chain.py

@@ -1,11 +1,11 @@
 import os
 
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import MongoDBAtlasVectorSearch
 from langchain_core.documents import Document
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough
 from pymongo import MongoClient

templates/neo4j-advanced-rag/ingest.py

@@ -2,12 +2,12 @@
 from typing import List
 
 from langchain.chains.openai_functions import create_structured_output_chain
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.text_splitter import TokenTextSplitter
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.document_loaders import TextLoader
 from langchain_community.embeddings.openai import OpenAIEmbeddings
 from langchain_community.graphs import Neo4jGraph
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel, Field
 from neo4j.exceptions import ClientError
 

templates/neo4j-advanced-rag/neo4j_advanced_rag/chain.py

@@ -1,8 +1,8 @@
 from operator import itemgetter
 
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import ConfigurableField, RunnableParallel
 

templates/neo4j-cypher-ft/neo4j_cypher_ft/chain.py

@@ -2,10 +2,10 @@
 
 from langchain.chains.graph_qa.cypher_utils import CypherQueryCorrector, Schema
 from langchain.chains.openai_functions import create_structured_output_chain
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.graphs import Neo4jGraph
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.runnables import RunnablePassthrough
 

templates/neo4j-cypher-memory/neo4j_cypher_memory/chain.py

@@ -2,10 +2,10 @@
 
 from langchain.chains.graph_qa.cypher_utils import CypherQueryCorrector, Schema
 from langchain.memory import ChatMessageHistory
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.graphs import Neo4jGraph
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnablePassthrough
 

templates/neo4j-cypher/neo4j_cypher/chain.py

@@ -1,8 +1,8 @@
 from langchain.chains.graph_qa.cypher_utils import CypherQueryCorrector, Schema
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.graphs import Neo4jGraph
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnablePassthrough
 

templates/neo4j-generation/neo4j_generation/chain.py

@@ -3,11 +3,11 @@
 from langchain.chains.openai_functions import (
     create_structured_output_chain,
 )
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.schema import Document
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.graphs import Neo4jGraph
 from langchain_community.graphs.graph_document import GraphDocument
+from langchain_core.prompts import ChatPromptTemplate
 
 from neo4j_generation.utils import (
     KnowledgeGraph,

templates/neo4j-parent/neo4j_parent/chain.py

@@ -1,8 +1,8 @@
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import Neo4jVector
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough
 

templates/neo4j-vector-memory/neo4j_vector_memory/chain.py

@@ -1,14 +1,14 @@
 from operator import itemgetter
 
+from langchain_community.chat_models import ChatOpenAI
+from langchain_community.embeddings import OpenAIEmbeddings
+from langchain_community.vectorstores import Neo4jVector
+from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import (
     ChatPromptTemplate,
     MessagesPlaceholder,
     PromptTemplate,
 )
-from langchain_community.chat_models import ChatOpenAI
-from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Neo4jVector
-from langchain_core.output_parsers import StrOutputParser
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnablePassthrough
 

templates/openai-functions-tool-retrieval-agent/openai_functions_tool_retrieval_agent/agent.py

@@ -6,10 +6,6 @@
 )
 from langchain.agents.format_scratchpad import format_to_openai_functions
 from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
-from langchain_core.prompts import (
-    ChatPromptTemplate,
-    MessagesPlaceholder,
-)
 from langchain.schema import Document
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
@@ -18,6 +14,10 @@
 from langchain_community.utilities.tavily_search import TavilySearchAPIWrapper
 from langchain_community.vectorstores import FAISS
 from langchain_core.messages import AIMessage, HumanMessage
+from langchain_core.prompts import (
+    ChatPromptTemplate,
+    MessagesPlaceholder,
+)
 from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.runnables import Runnable, RunnableLambda, RunnableParallel
 from langchain_core.tools import BaseTool

templates/pii-protected-chatbot/pii_protected_chatbot/chain.py

@@ -1,9 +1,9 @@
 from typing import List, Tuple
 
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_community.chat_models import ChatOpenAI
 from langchain_core.messages import AIMessage, HumanMessage
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnablePassthrough
 from presidio_analyzer import AnalyzerEngine

templates/pirate-speak-configurable/pirate_speak_configurable/chain.py

@@ -1,5 +1,5 @@
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatAnthropic, ChatCohere, ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import ConfigurableField
 
 _prompt = ChatPromptTemplate.from_messages(

templates/plate-chain/plate_chain/chain.py

@@ -1,9 +1,9 @@
 import base64
 import json
 
-from langchain_core.prompts import ChatPromptTemplate, SystemMessagePromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate, SystemMessagePromptTemplate
 from langchain_core.pydantic_v1 import Field
 from langserve import CustomUserType
 

templates/python-lint/python_lint/agent_executor.py

@@ -5,10 +5,10 @@
 
 from langchain.agents import AgentType, initialize_agent
 from langchain.agents.tools import Tool
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.pydantic_v1 import BaseModel, Field, ValidationError, validator
 from langchain_community.chat_models import ChatOpenAI
 from langchain_core.language_models import BaseLLM
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import ConfigurableField, Runnable
 
 

templates/rag-astradb/astradb_entomology_rag/__init__.py

@@ -1,10 +1,10 @@
 import os
 
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import AstraDB
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnablePassthrough
 
 from .populate_vector_store import populate

templates/rag-aws-bedrock/rag_aws_bedrock/chain.py

@@ -1,10 +1,10 @@
 import os
 
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.embeddings import BedrockEmbeddings
 from langchain_community.llms.bedrock import Bedrock
 from langchain_community.vectorstores import FAISS
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough
 

templates/rag-aws-kendra/rag_aws_kendra/chain.py

@@ -1,9 +1,9 @@
 import os
 
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.retrievers import AmazonKendraRetriever
 from langchain_community.llms.bedrock import Bedrock
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough
 

templates/rag-chroma-private/rag_chroma_private/chain.py

@@ -1,11 +1,11 @@
 # Load
-from langchain_core.prompts import ChatPromptTemplate
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain_community.chat_models import ChatOllama
 from langchain_community.document_loaders import WebBaseLoader
 from langchain_community.embeddings import GPT4AllEmbeddings
 from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough
 

templates/rag-chroma/rag_chroma/chain.py

@@ -1,8 +1,8 @@
-from langchain_core.prompts import ChatPromptTemplate
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import Chroma
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables import RunnableParallel, RunnablePassthrough