mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
84 lines
2.5 KiB
Python
84 lines
2.5 KiB
Python
"""Tool for the DuckDuckGo search API."""
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import warnings
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from typing import Any, Optional, Type
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_core.tools import BaseTool
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from langchain_community.utilities.duckduckgo_search import DuckDuckGoSearchAPIWrapper
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class DDGInput(BaseModel):
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query: str = Field(description="search query to look up")
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class DuckDuckGoSearchRun(BaseTool):
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"""Tool that queries the DuckDuckGo search API."""
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name: str = "duckduckgo_search"
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description: str = (
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"A wrapper around DuckDuckGo Search. "
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"Useful for when you need to answer questions about current events. "
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"Input should be a search query."
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)
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api_wrapper: DuckDuckGoSearchAPIWrapper = Field(
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default_factory=DuckDuckGoSearchAPIWrapper
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)
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args_schema: Type[BaseModel] = DDGInput
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def _run(
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self,
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query: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool."""
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return self.api_wrapper.run(query)
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class DuckDuckGoSearchResults(BaseTool):
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"""Tool that queries the DuckDuckGo search API and gets back json."""
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name: str = "DuckDuckGo Results JSON"
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description: str = (
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"A wrapper around Duck Duck Go Search. "
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"Useful for when you need to answer questions about current events. "
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"Input should be a search query. Output is a JSON array of the query results"
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)
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max_results: int = Field(alias="num_results", default=4)
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api_wrapper: DuckDuckGoSearchAPIWrapper = Field(
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default_factory=DuckDuckGoSearchAPIWrapper
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)
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backend: str = "text"
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args_schema: Type[BaseModel] = DDGInput
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def _run(
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self,
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query: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool."""
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res = self.api_wrapper.results(query, self.max_results, source=self.backend)
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res_strs = [", ".join([f"{k}: {v}" for k, v in d.items()]) for d in res]
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return ", ".join([f"[{rs}]" for rs in res_strs])
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def DuckDuckGoSearchTool(*args: Any, **kwargs: Any) -> DuckDuckGoSearchRun:
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"""
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Deprecated. Use DuckDuckGoSearchRun instead.
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Args:
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*args:
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**kwargs:
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Returns:
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DuckDuckGoSearchRun
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"""
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warnings.warn(
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"DuckDuckGoSearchTool will be deprecated in the future. "
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"Please use DuckDuckGoSearchRun instead.",
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DeprecationWarning,
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)
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return DuckDuckGoSearchRun(*args, **kwargs)
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