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langchain[patch]: getattr import from langchain.chains (#18160)
This commit is contained in:
Erick Friis
GitHub
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commit
a88f62ec3c
@ -17,135 +17,79 @@ The Chain interface makes it easy to create apps that are:
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Chain --> <name>Chain # Examples: LLMChain, MapReduceChain, RouterChain
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"""
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from langchain.chains.api.base import APIChain
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from langchain.chains.api.openapi.chain import OpenAPIEndpointChain
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from langchain.chains.combine_documents.base import AnalyzeDocumentChain
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from langchain.chains.combine_documents.map_reduce import MapReduceDocumentsChain
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from langchain.chains.combine_documents.map_rerank import MapRerankDocumentsChain
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from langchain.chains.combine_documents.reduce import ReduceDocumentsChain
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from langchain.chains.combine_documents.refine import RefineDocumentsChain
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from langchain.chains.combine_documents.stuff import StuffDocumentsChain
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from langchain.chains.constitutional_ai.base import ConstitutionalChain
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from langchain.chains.conversation.base import ConversationChain
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from langchain.chains.conversational_retrieval.base import (
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ChatVectorDBChain,
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ConversationalRetrievalChain,
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)
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from langchain.chains.example_generator import generate_example
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from langchain.chains.flare.base import FlareChain
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from langchain.chains.graph_qa.arangodb import ArangoGraphQAChain
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from langchain.chains.graph_qa.base import GraphQAChain
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from langchain.chains.graph_qa.cypher import GraphCypherQAChain
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from langchain.chains.graph_qa.falkordb import FalkorDBQAChain
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from langchain.chains.graph_qa.hugegraph import HugeGraphQAChain
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from langchain.chains.graph_qa.kuzu import KuzuQAChain
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from langchain.chains.graph_qa.nebulagraph import NebulaGraphQAChain
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from langchain.chains.graph_qa.neptune_cypher import NeptuneOpenCypherQAChain
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from langchain.chains.graph_qa.neptune_sparql import NeptuneSparqlQAChain
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from langchain.chains.graph_qa.ontotext_graphdb import OntotextGraphDBQAChain
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from langchain.chains.graph_qa.sparql import GraphSparqlQAChain
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from langchain.chains.history_aware_retriever import create_history_aware_retriever
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from langchain.chains.hyde.base import HypotheticalDocumentEmbedder
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from langchain.chains.llm import LLMChain
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from langchain.chains.llm_checker.base import LLMCheckerChain
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from langchain.chains.llm_math.base import LLMMathChain
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from langchain.chains.llm_requests import LLMRequestsChain
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from langchain.chains.llm_summarization_checker.base import LLMSummarizationCheckerChain
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from langchain.chains.loading import load_chain
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from langchain.chains.mapreduce import MapReduceChain
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from langchain.chains.moderation import OpenAIModerationChain
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from langchain.chains.natbot.base import NatBotChain
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from langchain.chains.openai_functions import (
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create_citation_fuzzy_match_chain,
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create_extraction_chain,
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create_extraction_chain_pydantic,
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create_qa_with_sources_chain,
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create_qa_with_structure_chain,
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create_tagging_chain,
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create_tagging_chain_pydantic,
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)
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from langchain.chains.qa_generation.base import QAGenerationChain
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from langchain.chains.qa_with_sources.base import QAWithSourcesChain
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from langchain.chains.qa_with_sources.retrieval import RetrievalQAWithSourcesChain
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from langchain.chains.qa_with_sources.vector_db import VectorDBQAWithSourcesChain
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from langchain.chains.retrieval import create_retrieval_chain
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from langchain.chains.retrieval_qa.base import (
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RetrievalQA,
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VectorDBQA,
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)
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from langchain.chains.router import (
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LLMRouterChain,
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MultiPromptChain,
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MultiRetrievalQAChain,
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MultiRouteChain,
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RouterChain,
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)
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from langchain.chains.sequential import SequentialChain, SimpleSequentialChain
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from langchain.chains.sql_database.query import create_sql_query_chain
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from langchain.chains.structured_output import create_structured_output_runnable
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from langchain.chains.summarize import load_summarize_chain
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from langchain.chains.transform import TransformChain
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import importlib
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from typing import Any
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__all__ = [
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"APIChain",
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"AnalyzeDocumentChain",
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"ArangoGraphQAChain",
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"ChatVectorDBChain",
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"ConstitutionalChain",
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"ConversationChain",
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"ConversationalRetrievalChain",
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"FalkorDBQAChain",
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"FlareChain",
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"GraphCypherQAChain",
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"GraphQAChain",
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"GraphSparqlQAChain",
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"OntotextGraphDBQAChain",
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"HugeGraphQAChain",
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"HypotheticalDocumentEmbedder",
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"KuzuQAChain",
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"LLMChain",
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"LLMCheckerChain",
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"LLMMathChain",
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"LLMRequestsChain",
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"LLMRouterChain",
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"LLMSummarizationCheckerChain",
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"MapReduceChain",
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"MapReduceDocumentsChain",
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"MapRerankDocumentsChain",
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"MultiPromptChain",
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"MultiRetrievalQAChain",
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"MultiRouteChain",
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"NatBotChain",
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"NebulaGraphQAChain",
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"NeptuneOpenCypherQAChain",
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"NeptuneSparqlQAChain",
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"OpenAIModerationChain",
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"OpenAPIEndpointChain",
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"QAGenerationChain",
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"QAWithSourcesChain",
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"ReduceDocumentsChain",
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"RefineDocumentsChain",
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"RetrievalQA",
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"RetrievalQAWithSourcesChain",
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"RouterChain",
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"SequentialChain",
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"SimpleSequentialChain",
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"StuffDocumentsChain",
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"TransformChain",
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"VectorDBQA",
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"VectorDBQAWithSourcesChain",
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"create_citation_fuzzy_match_chain",
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"create_extraction_chain",
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"create_extraction_chain_pydantic",
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"create_qa_with_sources_chain",
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"create_qa_with_structure_chain",
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"create_tagging_chain",
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"create_tagging_chain_pydantic",
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"generate_example",
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"load_chain",
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"create_sql_query_chain",
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"create_retrieval_chain",
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"create_history_aware_retriever",
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"create_structured_output_runnable",
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"load_summarize_chain",
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]
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_module_lookup = {
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"APIChain": "langchain.chains.api.base",
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"OpenAPIEndpointChain": "langchain.chains.api.openapi.chain",
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"AnalyzeDocumentChain": "langchain.chains.combine_documents.base",
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"MapReduceDocumentsChain": "langchain.chains.combine_documents.map_reduce",
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"MapRerankDocumentsChain": "langchain.chains.combine_documents.map_rerank",
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"ReduceDocumentsChain": "langchain.chains.combine_documents.reduce",
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"RefineDocumentsChain": "langchain.chains.combine_documents.refine",
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"StuffDocumentsChain": "langchain.chains.combine_documents.stuff",
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"ConstitutionalChain": "langchain.chains.constitutional_ai.base",
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"ConversationChain": "langchain.chains.conversation.base",
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"ChatVectorDBChain": "langchain.chains.conversational_retrieval.base",
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"ConversationalRetrievalChain": "langchain.chains.conversational_retrieval.base",
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"generate_example": "langchain.chains.example_generator",
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"FlareChain": "langchain.chains.flare.base",
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"ArangoGraphQAChain": "langchain.chains.graph_qa.arangodb",
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"GraphQAChain": "langchain.chains.graph_qa.base",
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"GraphCypherQAChain": "langchain.chains.graph_qa.cypher",
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"FalkorDBQAChain": "langchain.chains.graph_qa.falkordb",
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"HugeGraphQAChain": "langchain.chains.graph_qa.hugegraph",
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"KuzuQAChain": "langchain.chains.graph_qa.kuzu",
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"NebulaGraphQAChain": "langchain.chains.graph_qa.nebulagraph",
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"NeptuneOpenCypherQAChain": "langchain.chains.graph_qa.neptune_cypher",
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"NeptuneSparqlQAChain": "langchain.chains.graph_qa.neptune_sparql",
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"OntotextGraphDBQAChain": "langchain.chains.graph_qa.ontotext_graphdb",
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"GraphSparqlQAChain": "langchain.chains.graph_qa.sparql",
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"create_history_aware_retriever": "langchain.chains.history_aware_retriever",
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"HypotheticalDocumentEmbedder": "langchain.chains.hyde.base",
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"LLMChain": "langchain.chains.llm",
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"LLMCheckerChain": "langchain.chains.llm_checker.base",
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"LLMMathChain": "langchain.chains.llm_math.base",
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"LLMRequestsChain": "langchain.chains.llm_requests",
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"LLMSummarizationCheckerChain": "langchain.chains.llm_summarization_checker.base",
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"load_chain": "langchain.chains.loading",
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"MapReduceChain": "langchain.chains.mapreduce",
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"OpenAIModerationChain": "langchain.chains.moderation",
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"NatBotChain": "langchain.chains.natbot.base",
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"create_citation_fuzzy_match_chain": "langchain.chains.openai_functions",
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"create_extraction_chain": "langchain.chains.openai_functions",
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"create_extraction_chain_pydantic": "langchain.chains.openai_functions",
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"create_qa_with_sources_chain": "langchain.chains.openai_functions",
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"create_qa_with_structure_chain": "langchain.chains.openai_functions",
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"create_tagging_chain": "langchain.chains.openai_functions",
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"create_tagging_chain_pydantic": "langchain.chains.openai_functions",
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"QAGenerationChain": "langchain.chains.qa_generation.base",
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"QAWithSourcesChain": "langchain.chains.qa_with_sources.base",
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"RetrievalQAWithSourcesChain": "langchain.chains.qa_with_sources.retrieval",
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"VectorDBQAWithSourcesChain": "langchain.chains.qa_with_sources.vector_db",
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"create_retrieval_chain": "langchain.chains.retrieval",
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"RetrievalQA": "langchain.chains.retrieval_qa.base",
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"VectorDBQA": "langchain.chains.retrieval_qa.base",
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"LLMRouterChain": "langchain.chains.router",
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"MultiPromptChain": "langchain.chains.router",
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"MultiRetrievalQAChain": "langchain.chains.router",
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"MultiRouteChain": "langchain.chains.router",
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"RouterChain": "langchain.chains.router",
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"SequentialChain": "langchain.chains.sequential",
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"SimpleSequentialChain": "langchain.chains.sequential",
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"create_sql_query_chain": "langchain.chains.sql_database.query",
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"create_structured_output_runnable": "langchain.chains.structured_output",
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"load_summarize_chain": "langchain.chains.summarize",
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"TransformChain": "langchain.chains.transform",
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}
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def __getattr__(name: str) -> Any:
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if name in _module_lookup:
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module = importlib.import_module(_module_lookup[name])
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return getattr(module, name)
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raise AttributeError(f"module {__name__} has no attribute {name}")
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__all__ = list(_module_lookup.keys())
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