mirror of
https://github.com/Mintplex-Labs/langchain-python.git
synced 2026-07-18 18:34:27 -04:00
Leonid Ganeline
c7ca350cd3
In LangChain, all module classes are enumerated in the `__init__.py` file of the correspondent module. But some classes were missed and were not included in the module `__init__.py` This PR: - added the missed classes to the module `__init__.py` files - `__init__.py:__all_` variable value (a list of the class names) was sorted - `langchain.tools.sql_database.tool.QueryCheckerTool` was renamed into the `QuerySQLCheckerTool` because it conflicted with `langchain.tools.spark_sql.tool.QueryCheckerTool` - changes to `pyproject.toml`: - added `pgvector` to `pyproject.toml:extended_testing` - added `pandas` to `pyproject.toml:[tool.poetry.group.test.dependencies]` - commented out the `streamlit` from `collbacks/__init__.py`, It is because now the `streamlit` requires Python >=3.7, !=3.9.7 - fixed duplicate names in `tools` - fixed correspondent ut-s #### Who can review? @hwchase17 @dev2049
97 lines
3.4 KiB
Python
97 lines
3.4 KiB
Python
"""Chains are easily reusable components which can be linked together."""
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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.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.flare.base import FlareChain
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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.nebulagraph import NebulaGraphQAChain
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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_bash.base import LLMBashChain
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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_extraction_chain,
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create_extraction_chain_pydantic,
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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.pal.base import PALChain
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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_qa.base import RetrievalQA, VectorDBQA
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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.base import (
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SQLDatabaseChain,
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SQLDatabaseSequentialChain,
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)
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from langchain.chains.transform import TransformChain
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__all__ = [
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"APIChain",
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"AnalyzeDocumentChain",
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"ChatVectorDBChain",
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"ConstitutionalChain",
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"ConversationChain",
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"ConversationalRetrievalChain",
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"FlareChain",
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"GraphCypherQAChain",
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"GraphQAChain",
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"HypotheticalDocumentEmbedder",
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"LLMBashChain",
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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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"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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"OpenAIModerationChain",
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"OpenAPIEndpointChain",
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"PALChain",
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"QAGenerationChain",
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"QAWithSourcesChain",
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"RetrievalQA",
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"RetrievalQAWithSourcesChain",
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"RouterChain",
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"SQLDatabaseChain",
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"SQLDatabaseSequentialChain",
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"SequentialChain",
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"SimpleSequentialChain",
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"TransformChain",
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"VectorDBQA",
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"VectorDBQAWithSourcesChain",
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"create_extraction_chain",
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"create_extraction_chain_pydantic",
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"create_tagging_chain",
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"create_tagging_chain_pydantic",
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"load_chain",
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]
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