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langchain[patch], experimental[patch], docs: update tools imports (#15433)

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Bagatur
2024-01-02 18:23:34 -05:00
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parent e57e50b213
commit 1678d6ca17
86 changed files with 369 additions and 315 deletions
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4
docs/docs/expression_language/cookbook/prompt_size.ipynb
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@@ -29,9 +29,9 @@
"from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
"from langchain.prompts.chat import ChatPromptValue\n",
"from langchain.tools import WikipediaQueryRun\n",
"from langchain.tools.render import format_tool_to_openai_function\n",
"from langchain.utilities import WikipediaAPIWrapper\n",
"from langchain_community.chat_models import ChatOpenAI"
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.tools.convert_to_openai import format_tool_to_openai_function"
]
},
{

2
docs/docs/integrations/document_loaders/nuclia.ipynb
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@@ -62,7 +62,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools.nuclia import NucliaUnderstandingAPI\n",
"from langchain_community.tools.nuclia import NucliaUnderstandingAPI\n",
"\n",
"nua = NucliaUnderstandingAPI(enable_ml=False)"
]

2
docs/docs/integrations/document_transformers/nuclia_transformer.ipynb
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@@ -52,7 +52,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools.nuclia import NucliaUnderstandingAPI\n",
"from langchain_community.tools.nuclia import NucliaUnderstandingAPI\n",
"\n",
"nua = NucliaUnderstandingAPI(enable_ml=True)"
]

12
docs/docs/integrations/platforms/google.mdx
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@@ -312,7 +312,7 @@ See a [usage example and authorization instructions](/docs/integrations/tools/go
```python
from langchain.utilities.google_drive import GoogleDriveAPIWrapper
from langchain.tools.google_drive.tool import GoogleDriveSearchTool
from langchain_community.tools.google_drive.tool import GoogleDriveSearchTool
```
### Google Places
@@ -359,7 +359,7 @@ pip install google-search-results
See a [usage example and authorization instructions](/docs/integrations/tools/google_finance).
```python
from langchain.tools.google_finance import GoogleFinanceQueryRun
from langchain_community.tools.google_finance import GoogleFinanceQueryRun
from langchain.utilities.google_finance import GoogleFinanceAPIWrapper
```
@@ -374,7 +374,7 @@ pip install google-search-results
See a [usage example and authorization instructions](/docs/integrations/tools/google_jobs).
```python
from langchain.tools.google_jobs import GoogleJobsQueryRun
from langchain_community.tools.google_jobs import GoogleJobsQueryRun
from langchain.utilities.google_finance import GoogleFinanceAPIWrapper
```
@@ -383,7 +383,7 @@ from langchain.utilities.google_finance import GoogleFinanceAPIWrapper
See a [usage example and authorization instructions](/docs/integrations/tools/google_lens).
```python
from langchain.tools.google_lens import GoogleLensQueryRun
from langchain_community.tools.google_lens import GoogleLensQueryRun
from langchain.utilities.google_lens import GoogleLensAPIWrapper
```
@@ -398,7 +398,7 @@ pip install google-search-results
See a [usage example and authorization instructions](/docs/integrations/tools/google_scholar).
```python
from langchain.tools.google_scholar import GoogleScholarQueryRun
from langchain_community.tools.google_scholar import GoogleScholarQueryRun
from langchain.utilities.google_scholar import GoogleScholarAPIWrapper
```
@@ -413,7 +413,7 @@ pip install google-search-results
See a [usage example and authorization instructions](/docs/integrations/tools/google_trends).
```python
from langchain.tools.google_trends import GoogleTrendsQueryRun
from langchain_community.tools.google_trends import GoogleTrendsQueryRun
from langchain.utilities.google_trends import GoogleTrendsAPIWrapper
```

2
docs/docs/integrations/providers/nuclia.mdx
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@@ -23,7 +23,7 @@ To use the Nuclia document transformer, we need to instantiate a `NucliaUndersta
tool with `enable_ml` set to `True`:
```python
from langchain.tools.nuclia import NucliaUnderstandingAPI
from langchain_community.tools.nuclia import NucliaUnderstandingAPI
nua = NucliaUnderstandingAPI(enable_ml=True)
```

2
docs/docs/integrations/providers/searx.mdx
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@@ -73,7 +73,7 @@ This examples showcases a quick way to create multiple tools from the same
wrapper.
```python
from langchain.tools.searx_search.tool import SearxSearchResults
from langchain_community.tools.searx_search.tool import SearxSearchResults
wrapper = SearxSearchWrapper(searx_host="**")
github_tool = SearxSearchResults(name="Github", wrapper=wrapper,

13
docs/docs/integrations/toolkits/gmail.ipynb
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@@ -63,7 +63,10 @@
},
"outputs": [],
"source": [
"from langchain.tools.gmail.utils import build_resource_service, get_gmail_credentials\n",
"from langchain_community.tools.gmail.utils import (\n",
" build_resource_service,\n",
" get_gmail_credentials,\n",
")\n",
"\n",
"# Can review scopes here https://developers.google.com/gmail/api/auth/scopes\n",
"# For instance, readonly scope is 'https://www.googleapis.com/auth/gmail.readonly'\n",
@@ -86,11 +89,11 @@
{
"data": {
"text/plain": [
"[GmailCreateDraft(name='create_gmail_draft', description='Use this tool to create a draft email with the provided message fields.', args_schema=<class 'langchain.tools.gmail.create_draft.CreateDraftSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>),\n",
"[GmailCreateDraft(name='create_gmail_draft', description='Use this tool to create a draft email with the provided message fields.', args_schema=<class 'langchain_community.tools.gmail.create_draft.CreateDraftSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>),\n",
" GmailSendMessage(name='send_gmail_message', description='Use this tool to send email messages. The input is the message, recipents', args_schema=None, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>),\n",
" GmailSearch(name='search_gmail', description=('Use this tool to search for email messages or threads. The input must be a valid Gmail query. The output is a JSON list of the requested resource.',), args_schema=<class 'langchain.tools.gmail.search.SearchArgsSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>),\n",
" GmailGetMessage(name='get_gmail_message', description='Use this tool to fetch an email by message ID. Returns the thread ID, snipet, body, subject, and sender.', args_schema=<class 'langchain.tools.gmail.get_message.SearchArgsSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>),\n",
" GmailGetThread(name='get_gmail_thread', description=('Use this tool to search for email messages. The input must be a valid Gmail query. The output is a JSON list of messages.',), args_schema=<class 'langchain.tools.gmail.get_thread.GetThreadSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>)]"
" GmailSearch(name='search_gmail', description=('Use this tool to search for email messages or threads. The input must be a valid Gmail query. The output is a JSON list of the requested resource.',), args_schema=<class 'langchain_community.tools.gmail.search.SearchArgsSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>),\n",
" GmailGetMessage(name='get_gmail_message', description='Use this tool to fetch an email by message ID. Returns the thread ID, snipet, body, subject, and sender.', args_schema=<class 'langchain_community.tools.gmail.get_message.SearchArgsSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>),\n",
" GmailGetThread(name='get_gmail_thread', description=('Use this tool to search for email messages. The input must be a valid Gmail query. The output is a JSON list of messages.',), args_schema=<class 'langchain_community.tools.gmail.get_thread.GetThreadSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, api_resource=<googleapiclient.discovery.Resource object at 0x10e5c6d10>)]"
]
},
"execution_count": 5,

4
docs/docs/integrations/toolkits/json.ipynb
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@@ -35,8 +35,8 @@
"import yaml\n",
"from langchain.agents import create_json_agent\n",
"from langchain.agents.agent_toolkits import JsonToolkit\n",
"from langchain.tools.json.tool import JsonSpec\n",
"from langchain_community.llms.openai import OpenAI"
"from langchain_community.llms.openai import OpenAI\n",
"from langchain_community.tools.json.tool import JsonSpec"
]
},
{

10
docs/docs/integrations/toolkits/office365.ipynb
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@@ -64,11 +64,11 @@
{
"data": {
"text/plain": [
"[O365SearchEvents(name='events_search', description=\" Use this tool to search for the user's calendar events. The input must be the start and end datetimes for the search query. The output is a JSON list of all the events in the user's calendar between the start and end times. You can assume that the user can not schedule any meeting over existing meetings, and that the user is busy during meetings. Any times without events are free for the user. \", args_schema=<class 'langchain.tools.office365.events_search.SearchEventsInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302),\n",
" O365CreateDraftMessage(name='create_email_draft', description='Use this tool to create a draft email with the provided message fields.', args_schema=<class 'langchain.tools.office365.create_draft_message.CreateDraftMessageSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302),\n",
" O365SearchEmails(name='messages_search', description='Use this tool to search for email messages. The input must be a valid Microsoft Graph v1.0 $search query. The output is a JSON list of the requested resource.', args_schema=<class 'langchain.tools.office365.messages_search.SearchEmailsInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302),\n",
" O365SendEvent(name='send_event', description='Use this tool to create and send an event with the provided event fields.', args_schema=<class 'langchain.tools.office365.send_event.SendEventSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302),\n",
" O365SendMessage(name='send_email', description='Use this tool to send an email with the provided message fields.', args_schema=<class 'langchain.tools.office365.send_message.SendMessageSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302)]"
"[O365SearchEvents(name='events_search', description=\" Use this tool to search for the user's calendar events. The input must be the start and end datetimes for the search query. The output is a JSON list of all the events in the user's calendar between the start and end times. You can assume that the user can not schedule any meeting over existing meetings, and that the user is busy during meetings. Any times without events are free for the user. \", args_schema=<class 'langchain_community.tools.office365.events_search.SearchEventsInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302),\n",
" O365CreateDraftMessage(name='create_email_draft', description='Use this tool to create a draft email with the provided message fields.', args_schema=<class 'langchain_community.tools.office365.create_draft_message.CreateDraftMessageSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302),\n",
" O365SearchEmails(name='messages_search', description='Use this tool to search for email messages. The input must be a valid Microsoft Graph v1.0 $search query. The output is a JSON list of the requested resource.', args_schema=<class 'langchain_community.tools.office365.messages_search.SearchEmailsInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302),\n",
" O365SendEvent(name='send_event', description='Use this tool to create and send an event with the provided event fields.', args_schema=<class 'langchain_community.tools.office365.send_event.SendEventSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302),\n",
" O365SendMessage(name='send_email', description='Use this tool to send an email with the provided message fields.', args_schema=<class 'langchain_community.tools.office365.send_message.SendMessageSchema'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, handle_tool_error=False, account=Account Client Id: f32a022c-3c4c-4d10-a9d8-f6a9a9055302)]"
]
},
"execution_count": 3,

4
docs/docs/integrations/toolkits/openapi.ipynb
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@@ -584,8 +584,8 @@
"source": [
"from langchain.agents import create_openapi_agent\n",
"from langchain.agents.agent_toolkits import OpenAPIToolkit\n",
"from langchain.tools.json.tool import JsonSpec\n",
"from langchain_community.llms.openai import OpenAI"
"from langchain_community.llms.openai import OpenAI\n",
"from langchain_community.tools.json.tool import JsonSpec"
]
},
{

8
docs/docs/integrations/toolkits/playwright.ipynb
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@@ -97,12 +97,12 @@
{
"data": {
"text/plain": [
"[ClickTool(name='click_element', description='Click on an element with the given CSS selector', args_schema=<class 'langchain.tools.playwright.click.ClickToolInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" NavigateTool(name='navigate_browser', description='Navigate a browser to the specified URL', args_schema=<class 'langchain.tools.playwright.navigate.NavigateToolInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
"[ClickTool(name='click_element', description='Click on an element with the given CSS selector', args_schema=<class 'langchain_community.tools.playwright.click.ClickToolInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" NavigateTool(name='navigate_browser', description='Navigate a browser to the specified URL', args_schema=<class 'langchain_community.tools.playwright.navigate.NavigateToolInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" NavigateBackTool(name='previous_webpage', description='Navigate back to the previous page in the browser history', args_schema=<class 'pydantic.main.BaseModel'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" ExtractTextTool(name='extract_text', description='Extract all the text on the current webpage', args_schema=<class 'pydantic.main.BaseModel'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" ExtractHyperlinksTool(name='extract_hyperlinks', description='Extract all hyperlinks on the current webpage', args_schema=<class 'langchain.tools.playwright.extract_hyperlinks.ExtractHyperlinksToolInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" GetElementsTool(name='get_elements', description='Retrieve elements in the current web page matching the given CSS selector', args_schema=<class 'langchain.tools.playwright.get_elements.GetElementsToolInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" ExtractHyperlinksTool(name='extract_hyperlinks', description='Extract all hyperlinks on the current webpage', args_schema=<class 'langchain_community.tools.playwright.extract_hyperlinks.ExtractHyperlinksToolInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" GetElementsTool(name='get_elements', description='Retrieve elements in the current web page matching the given CSS selector', args_schema=<class 'langchain_community.tools.playwright.get_elements.GetElementsToolInput'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>),\n",
" CurrentWebPageTool(name='current_webpage', description='Returns the URL of the current page', args_schema=<class 'pydantic.main.BaseModel'>, return_direct=False, verbose=False, callbacks=None, callback_manager=None, sync_browser=None, async_browser=<Browser type=<BrowserType name=chromium executable_path=/Users/wfh/Library/Caches/ms-playwright/chromium-1055/chrome-mac/Chromium.app/Contents/MacOS/Chromium> version=112.0.5615.29>)]"
]
},

2
docs/docs/integrations/tools/edenai_tools.ipynb
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@@ -48,7 +48,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools.edenai import (\n",
"from langchain_community.tools.edenai import (\n",
" EdenAiExplicitImageTool,\n",
" EdenAiObjectDetectionTool,\n",
" EdenAiParsingIDTool,\n",

20
docs/docs/integrations/tools/filesystem.ipynb
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@@ -56,13 +56,13 @@
{
"data": {
"text/plain": [
"[CopyFileTool(name='copy_file', description='Create a copy of a file in a specified location', args_schema=<class 'langchain.tools.file_management.copy.FileCopyInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" DeleteFileTool(name='file_delete', description='Delete a file', args_schema=<class 'langchain.tools.file_management.delete.FileDeleteInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" FileSearchTool(name='file_search', description='Recursively search for files in a subdirectory that match the regex pattern', args_schema=<class 'langchain.tools.file_management.file_search.FileSearchInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" MoveFileTool(name='move_file', description='Move or rename a file from one location to another', args_schema=<class 'langchain.tools.file_management.move.FileMoveInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" ReadFileTool(name='read_file', description='Read file from disk', args_schema=<class 'langchain.tools.file_management.read.ReadFileInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" WriteFileTool(name='write_file', description='Write file to disk', args_schema=<class 'langchain.tools.file_management.write.WriteFileInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" ListDirectoryTool(name='list_directory', description='List files and directories in a specified folder', args_schema=<class 'langchain.tools.file_management.list_dir.DirectoryListingInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug')]"
"[CopyFileTool(name='copy_file', description='Create a copy of a file in a specified location', args_schema=<class 'langchain_community.tools.file_management.copy.FileCopyInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" DeleteFileTool(name='file_delete', description='Delete a file', args_schema=<class 'langchain_community.tools.file_management.delete.FileDeleteInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" FileSearchTool(name='file_search', description='Recursively search for files in a subdirectory that match the regex pattern', args_schema=<class 'langchain_community.tools.file_management.file_search.FileSearchInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" MoveFileTool(name='move_file', description='Move or rename a file from one location to another', args_schema=<class 'langchain_community.tools.file_management.move.FileMoveInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" ReadFileTool(name='read_file', description='Read file from disk', args_schema=<class 'langchain_community.tools.file_management.read.ReadFileInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" WriteFileTool(name='write_file', description='Write file to disk', args_schema=<class 'langchain_community.tools.file_management.write.WriteFileInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" ListDirectoryTool(name='list_directory', description='List files and directories in a specified folder', args_schema=<class 'langchain_community.tools.file_management.list_dir.DirectoryListingInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug')]"
]
},
"execution_count": 2,
@@ -96,9 +96,9 @@
{
"data": {
"text/plain": [
"[ReadFileTool(name='read_file', description='Read file from disk', args_schema=<class 'langchain.tools.file_management.read.ReadFileInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" WriteFileTool(name='write_file', description='Write file to disk', args_schema=<class 'langchain.tools.file_management.write.WriteFileInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" ListDirectoryTool(name='list_directory', description='List files and directories in a specified folder', args_schema=<class 'langchain.tools.file_management.list_dir.DirectoryListingInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug')]"
"[ReadFileTool(name='read_file', description='Read file from disk', args_schema=<class 'langchain_community.tools.file_management.read.ReadFileInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" WriteFileTool(name='write_file', description='Write file to disk', args_schema=<class 'langchain_community.tools.file_management.write.WriteFileInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug'),\n",
" ListDirectoryTool(name='list_directory', description='List files and directories in a specified folder', args_schema=<class 'langchain_community.tools.file_management.list_dir.DirectoryListingInput'>, return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1156f4350>, root_dir='/var/folders/gf/6rnp_mbx5914kx7qmmh7xzmw0000gn/T/tmpxb8c3aug')]"
]
},
"execution_count": 3,

2
docs/docs/integrations/tools/google_drive.ipynb
View File

@@ -99,8 +99,8 @@
},
"outputs": [],
"source": [
"from langchain.tools.google_drive.tool import GoogleDriveSearchTool\n",
"from langchain.utilities.google_drive import GoogleDriveAPIWrapper\n",
"from langchain_community.tools.google_drive.tool import GoogleDriveSearchTool\n",
"\n",
"# By default, search only in the filename.\n",
"tool = GoogleDriveSearchTool(\n",

2
docs/docs/integrations/tools/google_finance.ipynb
View File

@@ -43,8 +43,8 @@
"source": [
"import os\n",
"\n",
"from langchain.tools.google_finance import GoogleFinanceQueryRun\n",
"from langchain.utilities.google_finance import GoogleFinanceAPIWrapper\n",
"from langchain_community.tools.google_finance import GoogleFinanceQueryRun\n",
"\n",
"os.environ[\"SERPAPI_API_KEY\"] = \"\"\n",
"tool = GoogleFinanceQueryRun(api_wrapper=GoogleFinanceAPIWrapper())"

2
docs/docs/integrations/tools/google_jobs.ipynb
View File

@@ -70,8 +70,8 @@
"source": [
"import os\n",
"\n",
"from langchain.tools.google_jobs import GoogleJobsQueryRun\n",
"from langchain.utilities.google_jobs import GoogleJobsAPIWrapper\n",
"from langchain_community.tools.google_jobs import GoogleJobsQueryRun\n",
"\n",
"os.environ[\"SERPAPI_API_KEY\"] = \"[your serpapi key]\"\n",
"tool = GoogleJobsQueryRun(api_wrapper=GoogleJobsAPIWrapper())"

2
docs/docs/integrations/tools/google_lens.ipynb
View File

@@ -50,8 +50,8 @@
"source": [
"import os\n",
"\n",
"from langchain.tools.google_lens import GoogleLensQueryRun\n",
"from langchain.utilities.google_lens import GoogleLensAPIWrapper\n",
"from langchain_community.tools.google_lens import GoogleLensQueryRun\n",
"\n",
"os.environ[\"SERPAPI_API_KEY\"] = \"\"\n",
"tool = GoogleLensQueryRun(api_wrapper=GoogleLensAPIWrapper())"

4
docs/docs/integrations/tools/google_scholar.ipynb
View File

@@ -39,8 +39,8 @@
"source": [
"import os\n",
"\n",
"from langchain.tools.google_scholar import GoogleScholarQueryRun\n",
"from langchain.utilities.google_scholar import GoogleScholarAPIWrapper"
"from langchain.utilities.google_scholar import GoogleScholarAPIWrapper\n",
"from langchain_community.tools.google_scholar import GoogleScholarQueryRun"
]
},
{

2
docs/docs/integrations/tools/google_trends.ipynb
View File

@@ -51,8 +51,8 @@
"source": [
"import os\n",
"\n",
"from langchain.tools.google_trends import GoogleTrendsQueryRun\n",
"from langchain.utilities.google_trends import GoogleTrendsAPIWrapper\n",
"from langchain_community.tools.google_trends import GoogleTrendsQueryRun\n",
"\n",
"os.environ[\"SERPAPI_API_KEY\"] = \"\"\n",
"tool = GoogleTrendsQueryRun(api_wrapper=GoogleTrendsAPIWrapper())"

2
docs/docs/integrations/tools/ifttt.ipynb
View File

@@ -51,7 +51,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools.ifttt import IFTTTWebhook"
"from langchain_community.tools.ifttt import IFTTTWebhook"
]
},
{

2
docs/docs/integrations/tools/nuclia.ipynb
View File

@@ -41,7 +41,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools.nuclia import NucliaUnderstandingAPI\n",
"from langchain_community.tools.nuclia import NucliaUnderstandingAPI\n",
"\n",
"nua = NucliaUnderstandingAPI(enable_ml=False)"
]

6
docs/docs/integrations/tools/reddit_search.ipynb
View File

@@ -50,8 +50,8 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools.reddit_search.tool import RedditSearchRun\n",
"from langchain.utilities.reddit_search import RedditSearchAPIWrapper\n",
"from langchain_community.tools.reddit_search.tool import RedditSearchRun\n",
"\n",
"search = RedditSearchRun(\n",
" api_wrapper=RedditSearchAPIWrapper(\n",
@@ -75,7 +75,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools.reddit_search.tool import RedditSearchSchema\n",
"from langchain_community.tools.reddit_search.tool import RedditSearchSchema\n",
"\n",
"search_params = RedditSearchSchema(\n",
" query=\"beginner\", sort=\"new\", time_filter=\"week\", subreddit=\"python\", limit=\"2\"\n",
@@ -173,9 +173,9 @@
"from langchain.chains import LLMChain\n",
"from langchain.memory import ConversationBufferMemory, ReadOnlySharedMemory\n",
"from langchain.prompts import PromptTemplate\n",
"from langchain.tools.reddit_search.tool import RedditSearchRun\n",
"from langchain.utilities.reddit_search import RedditSearchAPIWrapper\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.tools.reddit_search.tool import RedditSearchRun\n",
"\n",
"# Provide keys for Reddit\n",
"client_id = \"\"\n",

2
docs/docs/integrations/tools/tavily_search.ipynb
View File

@@ -82,9 +82,9 @@
"import os\n",
"\n",
"from langchain.agents import AgentType, initialize_agent\n",
"from langchain.tools.tavily_search import TavilySearchResults\n",
"from langchain.utilities.tavily_search import TavilySearchAPIWrapper\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.tools.tavily_search import TavilySearchResults\n",
"\n",
"# set up API key\n",
"os.environ[\"TAVILY_API_KEY\"] = \"...\"\n",

2
docs/docs/integrations/tools/yahoo_finance_news.ipynb
View File

@@ -53,8 +53,8 @@
"outputs": [],
"source": [
"from langchain.agents import AgentType, initialize_agent\n",
"from langchain.tools.yahoo_finance_news import YahooFinanceNewsTool\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.tools.yahoo_finance_news import YahooFinanceNewsTool\n",
"\n",
"llm = ChatOpenAI(temperature=0.0)\n",
"tools = [YahooFinanceNewsTool()]\n",

4
docs/docs/integrations/tools/zapier.ipynb
View File

@@ -162,9 +162,9 @@
"source": [
"from langchain.chains import LLMChain, SimpleSequentialChain, TransformChain\n",
"from langchain.prompts import PromptTemplate\n",
"from langchain.tools.zapier.tool import ZapierNLARunAction\n",
"from langchain.utilities.zapier import ZapierNLAWrapper\n",
"from langchain_community.llms import OpenAI"
"from langchain_community.llms import OpenAI\n",
"from langchain_community.tools.zapier.tool import ZapierNLARunAction"
]
},
{

4
docs/docs/langsmith/walkthrough.ipynb
View File

@@ -143,8 +143,8 @@
"from langchain.agents.format_scratchpad import format_to_openai_function_messages\n",
"from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser\n",
"from langchain.tools import DuckDuckGoSearchResults\n",
"from langchain.tools.render import format_tool_to_openai_function\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.tools.convert_to_openai import format_tool_to_openai_function\n",
"\n",
"# Fetches the latest version of this prompt\n",
"prompt = hub.pull(\"wfh/langsmith-agent-prompt:latest\")\n",
@@ -337,8 +337,8 @@
"from langchain.agents import AgentExecutor, AgentType, initialize_agent, load_tools\n",
"from langchain.agents.format_scratchpad import format_to_openai_function_messages\n",
"from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser\n",
"from langchain.tools.render import format_tool_to_openai_function\n",
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.tools.convert_to_openai import format_tool_to_openai_function\n",
"\n",
"\n",
"# Since chains can be stateful (e.g. they can have memory), we provide\n",

4
docs/docs/modules/agents/how_to/agent_structured.ipynb
View File

@@ -232,8 +232,8 @@
"from langchain.agents import AgentExecutor\n",
"from langchain.agents.format_scratchpad import format_to_openai_function_messages\n",
"from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
"from langchain.tools.render import format_tool_to_openai_function\n",
"from langchain_community.chat_models import ChatOpenAI"
"from langchain_community.chat_models import ChatOpenAI\n",
"from langchain_community.tools.convert_to_openai import format_tool_to_openai_function"
]
},
{

2
docs/docs/modules/agents/how_to/custom_agent.ipynb
View File

@@ -129,7 +129,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.tools.render import format_tool_to_openai_function\n",
"from langchain_community.tools.convert_to_openai import format_tool_to_openai_function\n",
"\n",
"llm_with_tools = llm.bind(functions=[format_tool_to_openai_function(t) for t in tools])"
]

6
docs/docs/use_cases/code_understanding.ipynb
View File

@@ -998,8 +998,8 @@
" You can use the `ReActAgent` class and pass it the desired tools as, for example, you would do like this to create an agent with the `Lookup` and `Search` tool:\n",
"```python\n",
"from langchain.agents.react import ReActAgent\n",
"from langchain.tools.lookup import Lookup\n",
"from langchain.tools.search import Search\n",
"from langchain_community.tools.lookup import Lookup\n",
"from langchain_community.tools.search import Search\n",
"ReActAgent(Lookup(), Search())\n",
"```"
]
@@ -1019,7 +1019,7 @@
{
"data": {
"text/plain": [
"{'output_text': ' You can use the `ReActAgent` class and pass it the desired tools as, for example, you would do like this to create an agent with the `Lookup` and `Search` tool:\\n```python\\nfrom langchain.agents.react import ReActAgent\\nfrom langchain.tools.lookup import Lookup\\nfrom langchain.tools.search import Search\\nReActAgent(Lookup(), Search())\\n```'}"
"{'output_text': ' You can use the `ReActAgent` class and pass it the desired tools as, for example, you would do like this to create an agent with the `Lookup` and `Search` tool:\\n```python\\nfrom langchain.agents.react import ReActAgent\\nfrom langchain_community.tools.lookup import Lookup\\nfrom langchain_community.tools.search import Search\\nReActAgent(Lookup(), Search())\\n```'}"
]
},
"execution_count": 29,