mirror of
https://github.com/hwchase17/langchain
synced 2024-11-04 06:00:26 +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
71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
"""Tool for the Serper.dev Google Search API."""
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from typing import Optional
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from langchain_core.callbacks import (
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AsyncCallbackManagerForToolRun,
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CallbackManagerForToolRun,
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)
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from langchain_core.pydantic_v1 import Field
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from langchain_core.tools import BaseTool
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from langchain_community.utilities.google_serper import GoogleSerperAPIWrapper
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class GoogleSerperRun(BaseTool):
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"""Tool that queries the Serper.dev Google search API."""
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name: str = "google_serper"
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description: str = (
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"A low-cost Google Search API."
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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: GoogleSerperAPIWrapper
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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 str(self.api_wrapper.run(query))
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async def _arun(
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self,
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query: str,
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool asynchronously."""
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return (await self.api_wrapper.arun(query)).__str__()
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class GoogleSerperResults(BaseTool):
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"""Tool that queries the Serper.dev Google Search API
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and get back json."""
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name: str = "google_serper_results_json"
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description: str = (
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"A low-cost Google Search API."
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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 object of the query results"
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)
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api_wrapper: GoogleSerperAPIWrapper = Field(default_factory=GoogleSerperAPIWrapper)
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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 str(self.api_wrapper.results(query))
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async def _arun(
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self,
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query: str,
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool asynchronously."""
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return (await self.api_wrapper.aresults(query)).__str__()
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