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
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
from typing import Dict, List
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from langchain_community.agent_toolkits.base import BaseToolkit
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from langchain_community.tools import BaseTool
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from langchain_community.tools.nasa.prompt import (
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NASA_CAPTIONS_PROMPT,
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NASA_MANIFEST_PROMPT,
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NASA_METADATA_PROMPT,
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NASA_SEARCH_PROMPT,
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)
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from langchain_community.tools.nasa.tool import NasaAction
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from langchain_community.utilities.nasa import NasaAPIWrapper
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class NasaToolkit(BaseToolkit):
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"""Nasa Toolkit."""
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tools: List[BaseTool] = []
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@classmethod
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def from_nasa_api_wrapper(cls, nasa_api_wrapper: NasaAPIWrapper) -> "NasaToolkit":
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operations: List[Dict] = [
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{
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"mode": "search_media",
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"name": "Search NASA Image and Video Library media",
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"description": NASA_SEARCH_PROMPT,
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},
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{
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"mode": "get_media_metadata_manifest",
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"name": "Get NASA Image and Video Library media metadata manifest",
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"description": NASA_MANIFEST_PROMPT,
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},
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{
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"mode": "get_media_metadata_location",
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"name": "Get NASA Image and Video Library media metadata location",
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"description": NASA_METADATA_PROMPT,
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},
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{
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"mode": "get_video_captions_location",
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"name": "Get NASA Image and Video Library video captions location",
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"description": NASA_CAPTIONS_PROMPT,
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},
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]
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tools = [
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NasaAction(
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name=action["name"],
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description=action["description"],
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mode=action["mode"],
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api_wrapper=nasa_api_wrapper,
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)
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for action in operations
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]
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return cls(tools=tools)
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def get_tools(self) -> List[BaseTool]:
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"""Get the tools in the toolkit."""
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return self.tools
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