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Source code for langchain.tools.eleven_labs.models from enum import Enum [docs]class ElevenLabsModel(str, Enum): """Models available for Eleven Labs Text2Speech.""" MULTI_LINGUAL = "eleven_multilingual_v1" MONO_LINGUAL = "eleven_monolingual_v1"
https://api.python.langchain.com/en/latest/_modules/langchain/tools/eleven_labs/models.html
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Source code for langchain.tools.eleven_labs.text2speech import tempfile from enum import Enum from typing import Any, Dict, Optional, Union from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import root_validator from langchain.tools.base import BaseTool from langchain.utils im...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/eleven_labs/text2speech.html
585b614a0dd5-1
"""Validate that api key exists in environment.""" _ = get_from_dict_or_env(values, "eleven_api_key", "ELEVEN_API_KEY") return values def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None ) -> str: """Use the tool.""" elevenlabs = _import_ele...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/eleven_labs/text2speech.html
cb6469a23cad-0
Source code for langchain.tools.zapier.tool """## Zapier Natural Language Actions API \ Full docs here: https://nla.zapier.com/start/ **Zapier Natural Language Actions** gives you access to the 5k+ apps, 20k+ actions on Zapier's platform through a natural language API interface. NLA supports apps like Gmail, Salesforce...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html
cb6469a23cad-1
2. Use LLMChain to generate a draft reply to (1) 3. Use NLA to send the draft reply (2) to someone in Slack via direct message In code, below: ```python import os # get from https://platform.openai.com/ os.environ["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY", "") # get from https://nla.zapier.com/docs/authen...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html
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agent = initialize_agent( toolkit.get_tools(), llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True ) agent.run(("Summarize the last email I received regarding Silicon Valley Bank. " "Send the summary to the #test-zapier channel in slack.")) ``` """ from typing import Any, Dict, Optional f...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html
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name: str = "" description: str = "" @root_validator def set_name_description(cls, values: Dict[str, Any]) -> Dict[str, Any]: zapier_description = values["zapier_description"] params_schema = values["params_schema"] if "instructions" in params_schema: del params_schema["i...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html
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) ZapierNLARunAction.__doc__ = ( ZapierNLAWrapper.run.__doc__ + ZapierNLARunAction.__doc__ # type: ignore ) # other useful actions [docs]class ZapierNLAListActions(BaseTool): """ Args: None """ name: str = "ZapierNLA_list_actions" description: str = BASE_ZAPIER_TOOL_PROMPT + ( "...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html
802a1b7e9a2c-0
Source code for langchain.tools.gmail.utils """Gmail tool utils.""" from __future__ import annotations import logging import os from typing import TYPE_CHECKING, List, Optional, Tuple if TYPE_CHECKING: from google.auth.transport.requests import Request from google.oauth2.credentials import Credentials from ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/utils.html
802a1b7e9a2c-1
"""Import googleapiclient.discovery.build function. Returns: build_resource: googleapiclient.discovery.build function. """ try: from googleapiclient.discovery import build except ImportError: raise ImportError( "You need to install googleapiclient to use this toolkit....
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/utils.html
802a1b7e9a2c-2
creds.refresh(Request()) else: # https://developers.google.com/gmail/api/quickstart/python#authorize_credentials_for_a_desktop_application # noqa flow = InstalledAppFlow.from_client_secrets_file( client_secrets_file, scopes ) creds = flow.run_local...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/utils.html
bae7f12933de-0
Source code for langchain.tools.gmail.send_message """Send Gmail messages.""" import base64 from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText from typing import Any, Dict, List, Optional, Union from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/send_message.html
bae7f12933de-1
) -> Dict[str, Any]: """Create a message for an email.""" mime_message = MIMEMultipart() mime_message.attach(MIMEText(message, "html")) mime_message["To"] = ", ".join(to if isinstance(to, list) else [to]) mime_message["Subject"] = subject if cc is not None: mi...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/send_message.html
a41ec0e2ac47-0
Source code for langchain.tools.gmail.get_message import base64 import email from typing import Dict, Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.gmail.base import GmailBaseTool from langchain.tools.gmail.utils ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/get_message.html
a41ec0e2ac47-1
cdispo = str(part.get("Content-Disposition")) if ctype == "text/plain" and "attachment" not in cdispo: message_body = part.get_payload(decode=True).decode("utf-8") break else: message_body = email_msg.get_payload(decode=True).decode("utf-8") ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/get_message.html
dcdb9ac7e9f7-0
Source code for langchain.tools.gmail.create_draft import base64 from email.message import EmailMessage from typing import List, Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.gmail.base import GmailBaseTool [docs]...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/create_draft.html
dcdb9ac7e9f7-1
draft_message["Subject"] = subject if cc is not None: draft_message["Cc"] = ", ".join(cc) if bcc is not None: draft_message["Bcc"] = ", ".join(bcc) encoded_message = base64.urlsafe_b64encode(draft_message.as_bytes()).decode() return {"message": {"raw": encoded_mes...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/create_draft.html
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Source code for langchain.tools.gmail.base """Base class for Gmail tools.""" from __future__ import annotations from typing import TYPE_CHECKING from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool from langchain.tools.gmail.utils import build_resource_service if TYPE_CHECKING: # This i...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/base.html
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Source code for langchain.tools.gmail.get_thread from typing import Dict, Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.gmail.base import GmailBaseTool [docs]class GetThreadSchema(BaseModel): """Input for GetM...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/get_thread.html
d36ebdf9b8d3-0
Source code for langchain.tools.gmail.search import base64 import email from enum import Enum from typing import Any, Dict, List, Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.gmail.base import GmailBaseTool from ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/search.html
d36ebdf9b8d3-1
"""Tool that searches for messages or threads in Gmail.""" name: str = "search_gmail" description: str = ( "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: Typ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/search.html
d36ebdf9b8d3-2
message_body = "" if email_msg.is_multipart(): for part in email_msg.walk(): ctype = part.get_content_type() cdispo = str(part.get("Content-Disposition")) if ctype == "text/plain" and "attachment" not in cdispo: ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/search.html
b16519a0326f-0
Source code for langchain.tools.playwright.extract_hyperlinks from __future__ import annotations import json from typing import TYPE_CHECKING, Any, Optional, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseModel, F...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_hyperlinks.html
b16519a0326f-1
soup = BeautifulSoup(html_content, "lxml") # Find all the anchor elements and extract their href attributes anchors = soup.find_all("a") if absolute_urls: base_url = page.url links = [urljoin(base_url, anchor.get("href", "")) for anchor in anchors] else: ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_hyperlinks.html
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Source code for langchain.tools.playwright.navigate_back from __future__ import annotations from typing import Optional, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseModel from langchain.tools.playwright.base im...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate_back.html
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response = await page.go_back() if response: return ( f"Navigated back to the previous page with URL '{response.url}'." f" Status code {response.status}" ) else: return "Unable to navigate back; no previous page in the history"
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate_back.html
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Source code for langchain.tools.playwright.extract_text from __future__ import annotations from typing import Optional, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseModel, root_validator from langchain.tools.pla...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_text.html
366764b096d2-1
async def _arun( self, run_manager: Optional[AsyncCallbackManagerForToolRun] = None ) -> str: """Use the tool.""" if self.async_browser is None: raise ValueError(f"Asynchronous browser not provided to {self.name}") # Use Beautiful Soup since it's faster than looping throu...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_text.html
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Source code for langchain.tools.playwright.utils """Utilities for the Playwright browser tools.""" from __future__ import annotations import asyncio from typing import TYPE_CHECKING, Any, Coroutine, TypeVar if TYPE_CHECKING: from playwright.async_api import Browser as AsyncBrowser from playwright.async_api impo...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/utils.html
28871d454f56-1
return context.pages[-1] [docs]def create_async_playwright_browser(headless: bool = True) -> AsyncBrowser: """ Create an async playwright browser. Args: headless: Whether to run the browser in headless mode. Defaults to True. Returns: AsyncBrowser: The playwright browser. """ fro...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/utils.html
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Source code for langchain.tools.playwright.get_elements from __future__ import annotations import json from typing import TYPE_CHECKING, List, Optional, Sequence, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseMod...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html
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page: SyncPage, selector: str, attributes: Sequence[str] ) -> List[dict]: """Get elements matching the given CSS selector.""" elements = page.query_selector_all(selector) results = [] for element in elements: result = {} for attribute in attributes: if attribute == "innerText...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html
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) -> str: """Use the tool.""" if self.async_browser is None: raise ValueError(f"Asynchronous browser not provided to {self.name}") page = await aget_current_page(self.async_browser) # Navigate to the desired webpage before using this tool results = await _aget_element...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html
bb8d53a7a853-0
Source code for langchain.tools.playwright.base from __future__ import annotations from typing import TYPE_CHECKING, Optional, Tuple, Type from langchain.pydantic_v1 import root_validator from langchain.tools.base import BaseTool if TYPE_CHECKING: from playwright.async_api import Browser as AsyncBrowser from pl...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/base.html
bb8d53a7a853-1
raise ValueError("Either async_browser or sync_browser must be specified.") return values [docs] @classmethod def from_browser( cls, sync_browser: Optional[SyncBrowser] = None, async_browser: Optional[AsyncBrowser] = None, ) -> BaseBrowserTool: """Instantiate the tool....
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/base.html
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Source code for langchain.tools.playwright.current_page from __future__ import annotations from typing import Optional, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseModel from langchain.tools.playwright.base imp...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/current_page.html
a6dc52799f09-0
Source code for langchain.tools.playwright.navigate from __future__ import annotations from typing import Optional, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.playwright.base ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate.html
a6dc52799f09-1
page = await aget_current_page(self.async_browser) response = await page.goto(url) status = response.status if response else "unknown" return f"Navigating to {url} returned status code {status}"
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate.html
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Source code for langchain.tools.playwright.click from __future__ import annotations from typing import Optional, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.playwright.base imp...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/click.html
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page = get_current_page(self.sync_browser) # Navigate to the desired webpage before using this tool selector_effective = self._selector_effective(selector=selector) from playwright.sync_api import TimeoutError as PlaywrightTimeoutError try: page.click( selecto...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/click.html
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Source code for langchain.tools.json.tool # flake8: noqa """Tools for working with JSON specs.""" from __future__ import annotations import json import re from pathlib import Path from typing import Dict, List, Optional, Union from langchain.pydantic_v1 import BaseModel from langchain.callbacks.manager import ( Asy...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/json/tool.html
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""" try: items = _parse_input(text) val = self.dict_ for i in items: if i: val = val[i] if not isinstance(val, dict): raise ValueError( f"Value at path `{text}` is not a dict, get the value di...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/json/tool.html
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""" spec: JsonSpec def _run( self, tool_input: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: return self.spec.keys(tool_input) async def _arun( self, tool_input: str, run_manager: Optional[AsyncCallbackManagerForToolRun] =...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/json/tool.html
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Source code for langchain.tools.google_serper.tool """Tool for the Serper.dev Google Search API.""" from typing import Optional from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/google_serper/tool.html
8f7cf4d31dd2-1
"Input should be a search query. Output is a JSON object of the query results" ) api_wrapper: GoogleSerperAPIWrapper = Field(default_factory=GoogleSerperAPIWrapper) def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the t...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/google_serper/tool.html
07ac229952f4-0
Source code for langchain.tools.pubmed.tool from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool from langchain.utilities.pubmed import PubMedAPIWrapper [docs]class PubmedQueryRun(BaseTool): ""...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/pubmed/tool.html
bd53727bca4a-0
Source code for langchain.tools.openweathermap.tool """Tool for the OpenWeatherMap API.""" from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool from langchain.utilities import OpenWeatherMapAPIWrap...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/openweathermap/tool.html
1e63c185e60d-0
Source code for langchain.tools.searchapi.tool """Tool for the SearchApi.io search API.""" from typing import Optional from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool from lan...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/searchapi/tool.html
1e63c185e60d-1
"with the query results." ) api_wrapper: SearchApiAPIWrapper = Field(default_factory=SearchApiAPIWrapper) def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the tool.""" return str(self.api_wrapper.results(query))...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/searchapi/tool.html
1aa553c9ace3-0
Source code for langchain.tools.google_places.tool """Tool for the Google search API.""" from typing import Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.base import BaseTool from langchain.utilities.google_places...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/google_places/tool.html
9bb7f9f6bd50-0
Source code for langchain.tools.edenai.text_moderation from __future__ import annotations import logging from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.edenai.edenai_base_tool import EdenaiTool logger = logging.getLogger(__name__) [docs]class EdenAiTex...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/text_moderation.html
9bb7f9f6bd50-1
) language: str feature: str = "text" subfeature: str = "moderation" def _parse_response(self, response: list) -> str: formatted_result = [] for result in response: if "nsfw_likelihood" in result.keys(): formatted_result.append( "nsfw_likel...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/text_moderation.html
b6d53db5f7cf-0
Source code for langchain.tools.edenai.image_explicitcontent from __future__ import annotations import logging from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.edenai.edenai_base_tool import EdenaiTool logger = logging.getLogger(__name__) [docs]class Ede...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/image_explicitcontent.html
b6d53db5f7cf-1
result_str += f"{idx}: {label} likelihood {likelihood},\n" return result_str[:-2] def _parse_response(self, json_data: list) -> str: if len(json_data) == 1: result = self._parse_json(json_data[0]) else: for entry in json_data: if entry.get("provider") ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/image_explicitcontent.html
d1a57614fe72-0
Source code for langchain.tools.edenai.ocr_invoiceparser from __future__ import annotations import logging from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.edenai.edenai_base_tool import EdenaiTool logger = logging.getLogger(__name__) [docs]class EdenAiP...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/ocr_invoiceparser.html
d1a57614fe72-1
) else: for entry in response: if entry.get("provider") == "eden-ai": self._parse_json_multilevel( entry["extracted_data"][0], formatted_list ) return "\n".join(formatted_list) def _run( self, ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/ocr_invoiceparser.html
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Source code for langchain.tools.edenai.edenai_base_tool from __future__ import annotations import logging from abc import abstractmethod from typing import Any, Dict, List, Optional import requests from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import root_validator from la...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/edenai_base_tool.html
fd320bdc1f0a-1
query_params (dict): The parameters to include in the API call. Returns: requests.Response: The response from the EdenAI API call. """ # faire l'API call headers = { "Authorization": f"Bearer {self.edenai_api_key}", "User-Agent": self.get_user_agent(),...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/edenai_base_tool.html
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# not the provider response directly provider_response = response.json()[0] if provider_response.get("status") == "fail": err_msg = provider_response["error"]["message"] raise ValueError(err_msg) @abstractmethod def _run( self, query: str, run_mana...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/edenai_base_tool.html
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self._parse_json_multilevel(subsections, formatted_list, level + 1) def _list_handling( self, subsection_list: list, formatted_list: list, level: int ) -> None: for list_item in subsection_list: if isinstance(list_item, dict): self._parse_json_multilevel(list_item, fo...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/edenai_base_tool.html
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Source code for langchain.tools.edenai.image_objectdetection from __future__ import annotations import logging from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.edenai.edenai_base_tool import EdenaiTool logger = logging.getLogger(__name__) [docs]class Ede...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/image_objectdetection.html
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[x_min, x_max, y_min, y_max] ): # some providers don't return positions label_str += f""",at the position x_min: {x_min}, x_max: {x_max}, y_min: {y_min}, y_max: {y_max}""" label_info.append(label_str) result.append("\n".join(label_info)) return "...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/image_objectdetection.html
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Source code for langchain.tools.edenai.audio_text_to_speech from __future__ import annotations import logging from typing import Dict, List, Literal, Optional import requests from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import Field, root_validator, validator from langcha...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/audio_text_to_speech.html
426f887c34e9-1
voice: Literal["MALE", "FEMALE"] """voice option : 'MALE' or 'FEMALE' """ feature: str = "audio" subfeature: str = "text_to_speech" @validator("providers") def check_only_one_provider_selected(cls, v: List[str]) -> List[str]: """ This tool has no feature to combine providers results....
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/audio_text_to_speech.html
426f887c34e9-2
return "audio.wav" def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the tool.""" all_params = { "text": query, "language": self.language, "option": self.voice, "return_typ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/audio_text_to_speech.html
81536b63445c-0
Source code for langchain.tools.edenai.audio_speech_to_text from __future__ import annotations import json import logging import time from typing import List, Optional import requests from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import validator from langchain.tools.edena...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/audio_speech_to_text.html
81536b63445c-1
""" This tool has no feature to combine providers results. Therefore we only allow one provider """ if len(v) > 1: raise ValueError( "Please select only one provider. " "The feature to combine providers results is not available " ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/audio_speech_to_text.html
81536b63445c-2
job_id = self._call_eden_ai(query_params) url = self.base_url + job_id audio_analysis_result = self._wait_processing(url) result = audio_analysis_result.text formatted_text = json.loads(result) return formatted_text["results"][self.providers[0]]["text"]
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/audio_speech_to_text.html
1f1a11609df4-0
Source code for langchain.tools.edenai.ocr_identityparser from __future__ import annotations import logging from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.edenai.edenai_base_tool import EdenaiTool logger = logging.getLogger(__name__) [docs]class EdenAi...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/ocr_identityparser.html
1f1a11609df4-1
) return "\n".join(formatted_list) def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the tool.""" query_params = { "file_url": query, "language": self.language, "attributes_as_...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/edenai/ocr_identityparser.html
ff82c26e89f2-0
Source code for langchain.tools.spark_sql.tool # flake8: noqa """Tools for interacting with Spark SQL.""" from typing import Any, Dict, Optional from langchain.pydantic_v1 import BaseModel, Extra, Field, root_validator from langchain.schema.language_model import BaseLanguageModel from langchain.callbacks.manager import...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html
ff82c26e89f2-1
"""Execute the query, return the results or an error message.""" return self.db.run_no_throw(query) [docs]class InfoSparkSQLTool(BaseSparkSQLTool, BaseTool): """Tool for getting metadata about a Spark SQL.""" name: str = "schema_sql_db" description: str = """ Input to this tool is a comma-separa...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html
ff82c26e89f2-2
template: str = QUERY_CHECKER llm: BaseLanguageModel llm_chain: LLMChain = Field(init=False) name: str = "query_checker_sql_db" description: str = """ Use this tool to double check if your query is correct before executing it. Always use this tool before executing a query with query_sql_db! ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html
43d5c825f5d3-0
Source code for langchain.tools.arxiv.tool """Tool for the Arxiv API.""" from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool from langchain.utilities.arxiv import ArxivAPIWrapper [docs]class Arxiv...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/arxiv/tool.html
8f93354bfe97-0
Source code for langchain.tools.office365.utils """O365 tool utils.""" from __future__ import annotations import logging import os from typing import TYPE_CHECKING if TYPE_CHECKING: from O365 import Account logger = logging.getLogger(__name__) [docs]def clean_body(body: str) -> str: """Clean body of a message o...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/utils.html
8f93354bfe97-1
if account.is_authenticated is False: if not account.authenticate( scopes=[ "https://graph.microsoft.com/Mail.ReadWrite", "https://graph.microsoft.com/Mail.Send", "https://graph.microsoft.com/Calendars.ReadWrite", "https://graph.microso...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/utils.html
5076960fbdf9-0
Source code for langchain.tools.office365.send_message from typing import List, Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.office365.base import O365BaseTool [docs]class SendMessageSchema(BaseModel): """Inp...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/send_message.html
5076960fbdf9-1
# Assign message values message.body = body message.subject = subject message.to.add(to) if cc is not None: message.cc.add(cc) if bcc is not None: message.bcc.add(cc) message.send() output = "Message sent: " + str(message) return ou...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/send_message.html
312d6154a482-0
Source code for langchain.tools.office365.create_draft_message from typing import List, Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.office365.base import O365BaseTool [docs]class CreateDraftMessageSchema(BaseMod...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/create_draft_message.html
312d6154a482-1
message = mailbox.new_message() # Assign message values message.body = body message.subject = subject message.to.add(to) if cc is not None: message.cc.add(cc) if bcc is not None: message.bcc.add(cc) message.save_draft() output = "Dr...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/create_draft_message.html
bac970bb991a-0
Source code for langchain.tools.office365.messages_search """Util that Searches email messages in Office 365. Free, but setup is required. See link below. https://learn.microsoft.com/en-us/graph/auth/ """ from typing import Any, Dict, List, Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRu...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/messages_search.html
bac970bb991a-1
"range example: received:2023-06-08..2023-06-09 matching example: " "from:amy OR from:david." ) ) max_results: int = Field( default=10, description="The maximum number of results to return.", ) truncate: bool = Field( default=True, description=( ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/messages_search.html
bac970bb991a-2
if folder != "": mailbox = mailbox.get_folder(folder_name=folder) # Retrieve messages based on query query = mailbox.q().search(query) messages = mailbox.get_messages(limit=max_results, query=query) # Generate output dict output_messages = [] for message in me...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/messages_search.html
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Source code for langchain.tools.office365.send_event """Util that sends calendar events in Office 365. Free, but setup is required. See link below. https://learn.microsoft.com/en-us/graph/auth/ """ from datetime import datetime as dt from typing import List, Optional, Type from langchain.callbacks.manager import Callba...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/send_event.html
235aa632ff78-1
" components, and the time zone offset is specified as ±hh:mm. " ' For example: "2023-06-09T10:30:00+03:00" represents June 9th, ' " 2023, at 10:30 AM in a time zone with a positive offset of 3 " " hours from Coordinated Universal Time (UTC).", ) [docs]class O365SendEvent(O365BaseTool): ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/send_event.html
e992f9c3470f-0
Source code for langchain.tools.office365.base """Base class for Office 365 tools.""" from __future__ import annotations from typing import TYPE_CHECKING from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool from langchain.tools.office365.utils import authenticate if TYPE_CHECKING: from ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/base.html
840b0421f806-0
Source code for langchain.tools.office365.events_search """Util that Searches calendar events in Office 365. Free, but setup is required. See link below. https://learn.microsoft.com/en-us/graph/auth/ """ from datetime import datetime as dt from typing import Any, Dict, List, Optional, Type from langchain.callbacks.mana...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/events_search.html
840b0421f806-1
" components, and the time zone offset is specified as ±hh:mm. " ' For example: "2023-06-09T10:30:00+03:00" represents June 9th, ' " 2023, at 10:30 AM in a time zone with a positive offset of 3 " " hours from Coordinated Universal Time (UTC)." ) ) max_results: int = F...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/events_search.html
840b0421f806-2
extra = Extra.forbid def _run( self, start_datetime: str, end_datetime: str, max_results: int = 10, truncate: bool = True, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> List[Dict[str, Any]]: TRUNCATE_LIMIT = 150 # Get calendar objec...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/events_search.html
840b0421f806-3
"%Y-%m-%dT%H:%M:%S%z" ) output_event["end_datetime"] = event.end.astimezone(time_zone).strftime( "%Y-%m-%dT%H:%M:%S%z" ) output_event["modified_date"] = event.modified.astimezone( time_zone ).strftime("%Y-%m-%dT%H:%M:%S%z") ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/office365/events_search.html
9f63d89d8ce1-0
Source code for langchain.tools.metaphor_search.tool """Tool for the Metaphor search API.""" from typing import Dict, List, Optional, Union from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.tools.base import BaseTool from langchain.utilities.me...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/metaphor_search/tool.html
9f63d89d8ce1-1
start_published_date, end_published_date, use_autoprompt, ) except Exception as e: return repr(e) async def _arun( self, query: str, num_results: int, include_domains: Optional[List[str]] = None, exclude_domains:...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/metaphor_search/tool.html
3d6c2eee65ea-0
Source code for langchain.tools.requests.tool # flake8: noqa """Tools for making requests to an API endpoint.""" import json from typing import Any, Dict, Optional from langchain.pydantic_v1 import BaseModel from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) f...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html
3d6c2eee65ea-1
return await self.requests_wrapper.aget(_clean_url(url)) [docs]class RequestsPostTool(BaseRequestsTool, BaseTool): """Tool for making a POST request to an API endpoint.""" name: str = "requests_post" description: str = """Use this when you want to POST to a website. Input should be a json string with tw...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html
3d6c2eee65ea-2
name: str = "requests_patch" description: str = """Use this when you want to PATCH to a website. Input should be a json string with two keys: "url" and "data". The value of "url" should be a string, and the value of "data" should be a dictionary of key-value pairs you want to PATCH to the url. Be c...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html
3d6c2eee65ea-3
Input should be a json string with two keys: "url" and "data". The value of "url" should be a string, and the value of "data" should be a dictionary of key-value pairs you want to PUT to the url. Be careful to always use double quotes for strings in the json string. The output will be the text response...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html
3d6c2eee65ea-4
) -> str: """Run the tool.""" return self.requests_wrapper.delete(_clean_url(url)) async def _arun( self, url: str, run_manager: Optional[AsyncCallbackManagerForToolRun] = None, ) -> str: """Run the tool asynchronously.""" return await self.requests_wrappe...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html
e9c1540e11c4-0
Source code for langchain.utilities.golden_query """Util that calls Golden.""" import json from typing import Dict, Optional import requests from langchain.pydantic_v1 import BaseModel, Extra, root_validator from langchain.utils import get_from_dict_or_env GOLDEN_BASE_URL = "https://golden.com" GOLDEN_TIMEOUT = 5000 [d...
https://api.python.langchain.com/en/latest/_modules/langchain/utilities/golden_query.html
e9c1540e11c4-1
content = json.loads(response.content) query_id = content["id"] response = requests.get( ( f"{GOLDEN_BASE_URL}/api/v2/public/queries/{query_id}/results/" "?pageSize=10" ), headers=headers, timeout=GOLDEN_TIMEOUT, ) ...
https://api.python.langchain.com/en/latest/_modules/langchain/utilities/golden_query.html
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Source code for langchain.utilities.opaqueprompts from typing import Dict, Union [docs]def sanitize( input: Union[str, Dict[str, str]] ) -> Dict[str, Union[str, Dict[str, str]]]: """ Sanitize input string or dict of strings by replacing sensitive data with placeholders. It returns the sanitized inpu...
https://api.python.langchain.com/en/latest/_modules/langchain/utilities/opaqueprompts.html