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Source code for langchain.tools.wolfram_alpha.tool """Tool for the Wolfram Alpha API.""" from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.base import BaseTool from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper [docs]class WolframAlphaQu...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/wolfram_alpha/tool.html
e2e6ba16917f-0
Source code for langchain.tools.human.tool """Tool for asking human input.""" from typing import Callable, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool def _print_func(text: str) -> None: print("\n") ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/human/tool.html
1b636638737b-0
Source code for langchain.tools.searx_search.tool """Tool for the SearxNG search API.""" from typing import Optional from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import Extra from langchain.tools.base import BaseTool, Field fro...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/searx_search/tool.html
1b636638737b-1
"Useful for when you need to answer questions about current events." "Input should be a search query. Output is a JSON array of the query results" ) wrapper: SearxSearchWrapper num_results: int = 4 kwargs: dict = Field(default_factory=dict) class Config: """Pydantic config.""" ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/searx_search/tool.html
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Source code for langchain.tools.nuclia.tool """Tool for the Nuclia Understanding API. Installation: ```bash pip install --upgrade protobuf pip install nucliadb-protos ``` """ import asyncio import base64 import logging import mimetypes import os from typing import Any, Dict, Optional, Type, Union import request...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/nuclia/tool.html
4af5417870c5-1
"""Tool to process files with the Nuclia Understanding API.""" name: str = "nuclia_understanding_api" description: str = ( "A wrapper around Nuclia Understanding API endpoints. " "Useful for when you need to extract text from any kind of files. " ) args_schema: Type[BaseModel] = NUASchem...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/nuclia/tool.html
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self, action: str, id: str, path: Optional[str] = None, text: Optional[str] = None, run_manager: Optional[AsyncCallbackManagerForToolRun] = None, ) -> str: """Use the tool asynchronously.""" self._check_params(path, text) if path: self._pus...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/nuclia/tool.html
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) return "" else: field = { "filefield": {"file": f"{response.text}"}, "processing_options": {"ml_text": self._config["enable_ml"]}, } return self._pushField(id, field) def _pushField(self, id: str, f...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/nuclia/tool.html
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try: from nucliadb_protos.writer_pb2 import BrokerMessage except ImportError as e: raise ImportError( "nucliadb-protos is not installed. " "Run `pip install nucliadb-protos` to install." ) from e try: from google.protobuf.js...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/nuclia/tool.html
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if result["uuid"] == uuid: return id return None def _check_params(self, path: Optional[str], text: Optional[str]) -> None: if not path and not text: raise ValueError("File path or text is required") if path and text: raise ValueError("Cannot process b...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/nuclia/tool.html
7aa64b0e8cb6-0
Source code for langchain.tools.gitlab.tool """ This tool allows agents to interact with the python-gitlab library and operate on a GitLab repository. To use this tool, you must first set as environment variables: GITLAB_PRIVATE_ACCESS_TOKEN GITLAB_REPOSITORY -> format: {owner}/{repo} """ from typing import Opt...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/gitlab/tool.html
9c3a4200f388-0
Source code for langchain.tools.graphql.tool import json from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.base import BaseTool from langchain.utilities.graphql import GraphQLAPIWrapper [docs]class BaseGraphQLTool(BaseTool): """Base tool for querying ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/graphql/tool.html
0aa1d1d2bcc7-0
Source code for langchain.tools.sql_database.tool # flake8: noqa """Tools for interacting with a SQL database.""" 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.manage...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/sql_database/tool.html
0aa1d1d2bcc7-1
"""Execute the query, return the results or an error message.""" return self.db.run_no_throw(query) [docs]class InfoSQLDatabaseTool(BaseSQLDatabaseTool, BaseTool): """Tool for getting metadata about a SQL database.""" name: str = "sql_db_schema" description: str = """ Input to this tool is a com...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/sql_database/tool.html
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template: str = QUERY_CHECKER llm: BaseLanguageModel llm_chain: LLMChain = Field(init=False) name: str = "sql_db_query_checker" 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 sql_db_query! ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/sql_database/tool.html
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query=query, dialect=self.db.dialect, callbacks=run_manager.get_child() if run_manager else None, )
https://api.python.langchain.com/en/latest/_modules/langchain/tools/sql_database/tool.html
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Source code for langchain.tools.steamship_image_generation.utils """Steamship Utils.""" from __future__ import annotations import uuid from typing import TYPE_CHECKING if TYPE_CHECKING: from steamship import Block, Steamship [docs]def make_image_public(client: Steamship, block: Block) -> str: """Upload a block ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/steamship_image_generation/utils.html
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Source code for langchain.tools.steamship_image_generation.tool """This tool allows agents to generate images using Steamship. Steamship offers access to different third party image generation APIs using a single API key. Today the following models are supported: - Dall-E - Stable Diffusion To use this tool, you must f...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/steamship_image_generation/tool.html
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"Input: A detailed text-2-image prompt describing an image" "Output: the UUID of a generated image" ) @root_validator(pre=True) def validate_size(cls, values: Dict) -> Dict: if "size" in values: size = values["size"] model_name = values["model_name"] if si...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/steamship_image_generation/tool.html
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task.wait() blocks = task.output.blocks if len(blocks) > 0: if self.return_urls: return make_image_public(self.steamship, blocks[0]) else: return blocks[0].id raise RuntimeError(f"[{self.name}] Tool unable to generate image!")
https://api.python.langchain.com/en/latest/_modules/langchain/tools/steamship_image_generation/tool.html
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Source code for langchain.tools.powerbi.tool """Tools for interacting with a Power BI dataset.""" import logging from time import perf_counter from typing import Any, Dict, Optional, Tuple from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.chain...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html
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class Config: """Configuration for this pydantic object.""" arbitrary_types_allowed = True @validator("llm_chain") def validate_llm_chain_input_variables( # pylint: disable=E0213 cls, llm_chain: LLMChain ) -> LLMChain: """Make sure the LLM chain has the correct input variabl...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html
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query = self.llm_chain.predict( tool_input=tool_input, tables=self.powerbi.get_table_names(), schemas=self.powerbi.get_schemas(), examples=self.examples, callbacks=run_manager.get_child() if run_manager else None, ) exce...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html
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result if result else BAD_REQUEST_RESPONSE.format(error=error) ) return self.session_cache[tool_input] async def _arun( self, tool_input: str, run_manager: Optional[AsyncCallbackManagerForToolRun] = None, **kwargs: Any, ) -> str: """Execute the query, retu...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html
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result, error = self._parse_output(pbi_result) if error is not None and ("TokenExpired" in error or "TokenError" in error): self.session_cache[ tool_input ] = "Authentication token expired or invalid, please try to reauthenticate or check the scope of the credential." # ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html
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if too_long: return ( f"Result too large, please try to be more specific or use the `TOPN` function. The result is {length} tokens long, the limit is {self.output_token_limit} tokens.", # noqa: E501 None, ) return result, None ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html
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powerbi: PowerBIDataset = Field(exclude=True) class Config: """Configuration for this pydantic object.""" arbitrary_types_allowed = True def _run( self, tool_input: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Get the schema for t...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html
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) -> str: """Get the names of the tables.""" return ", ".join(self.powerbi.get_table_names())
https://api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html
9405862ac3f4-0
Source code for langchain.tools.bing_search.tool """Tool for the Bing search API.""" from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.base import BaseTool from langchain.utilities.bing_search import BingSearchAPIWrapper [docs]class BingSearchRun(BaseTool...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/bing_search/tool.html
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Source code for langchain.tools.github.tool """ This tool allows agents to interact with the pygithub library and operate on a GitHub repository. To use this tool, you must first set as environment variables: GITHUB_API_TOKEN GITHUB_REPOSITORY -> format: {owner}/{repo} """ from typing import Optional from langc...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/github/tool.html
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Source code for langchain.tools.jira.tool """ This tool allows agents to interact with the atlassian-python-api library and operate on a Jira instance. For more information on the atlassian-python-api library, see https://atlassian-python-api.readthedocs.io/jira.html To use this tool, you must first set as environment ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/jira/tool.html
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) -> str: """Use the Atlassian Jira API to run an operation.""" return self.api_wrapper.run(self.mode, instructions)
https://api.python.langchain.com/en/latest/_modules/langchain/tools/jira/tool.html
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Source code for langchain.tools.python.tool """A tool for running python code in a REPL.""" import ast import asyncio import re import sys from contextlib import redirect_stdout from io import StringIO from typing import Any, Dict, Optional, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForTool...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/python/tool.html
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python_repl: PythonREPL = Field(default_factory=_get_default_python_repl) sanitize_input: bool = True def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> Any: """Use the tool.""" if self.sanitize_input: query = sanitiz...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/python/tool.html
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def validate_python_version(cls, values: Dict) -> Dict: """Validate valid python version.""" if sys.version_info < (3, 9): raise ValueError( "This tool relies on Python 3.9 or higher " "(as it uses new functionality in the `ast` module, " f"you...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/python/tool.html
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) -> Any: """Use the tool asynchronously.""" loop = asyncio.get_running_loop() result = await loop.run_in_executor(None, self._run, query) return result
https://api.python.langchain.com/en/latest/_modules/langchain/tools/python/tool.html
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Source code for langchain.tools.file_management.utils import sys from pathlib import Path from typing import Optional from langchain.pydantic_v1 import BaseModel [docs]def is_relative_to(path: Path, root: Path) -> bool: """Check if path is relative to root.""" if sys.version_info >= (3, 9): # No need fo...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/utils.html
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root = root.resolve() full_path = (root / user_path).resolve() if not is_relative_to(full_path, root): raise FileValidationError( f"Path {user_path} is outside of the allowed directory {root}" ) return full_path
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/utils.html
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Source code for langchain.tools.file_management.read 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.tools.file_management.utils import ( INVALID_PATH_TEMPL...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/read.html
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Source code for langchain.tools.file_management.write 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.tools.file_management.utils import ( INVALID_PATH_TEMP...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/write.html
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except Exception as e: return "Error: " + str(e) # TODO: Add aiofiles method
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/write.html
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Source code for langchain.tools.file_management.list_dir import os 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.tools.file_management.utils import ( INVA...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/list_dir.html
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Source code for langchain.tools.file_management.delete import os 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.tools.file_management.utils import ( INVALI...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/delete.html
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Source code for langchain.tools.file_management.copy import shutil 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.tools.file_management.utils import ( INVA...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/copy.html
5f1a8c7e0402-1
except Exception as e: return "Error: " + str(e) # TODO: Add aiofiles method
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/copy.html
3e702f7eff46-0
Source code for langchain.tools.file_management.file_search import fnmatch import os 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.tools.file_management.utils...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/file_search.html
3e702f7eff46-1
relative_path = os.path.relpath(absolute_path, dir_path_) matches.append(relative_path) if matches: return "\n".join(matches) else: return f"No files found for pattern {pattern} in directory {dir_path}" except Exception as e: ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/file_search.html
a13af17a6bb8-0
Source code for langchain.tools.file_management.move import shutil 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.tools.file_management.utils import ( INVA...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/move.html
a13af17a6bb8-1
shutil.move(str(source_path_), destination_path_) return f"File moved successfully from {source_path} to {destination_path}." except Exception as e: return "Error: " + str(e) # TODO: Add aiofiles method
https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/move.html
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Source code for langchain.tools.shell.tool import asyncio import platform import warnings from typing import List, Optional, Type, Union from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseModel, Field, root_validator from ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/shell/tool.html
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name: str = "terminal" """Name of tool.""" description: str = f"Run shell commands on this {_get_platform()} machine." """Description of tool.""" args_schema: Type[BaseModel] = ShellInput """Schema for input arguments.""" def _run( self, commands: Union[str, List[str]], r...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/shell/tool.html
b6c1a8e0d511-0
Source code for langchain.tools.amadeus.closest_airport from typing import Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.chains import LLMChain from langchain.chat_models import ChatOpenAI from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.amadeus.b...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/amadeus/closest_airport.html
b6c1a8e0d511-1
" What is the nearest airport to {location}? Please respond with the " " airport's International Air Transport Association (IATA) Location " ' Identifier in the following JSON format. JSON: "iataCode": "IATA ' ' Location Identifier" ' ) llm = ChatOpenAI(temperature=0)...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/amadeus/closest_airport.html
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Source code for langchain.tools.amadeus.utils """O365 tool utils.""" from __future__ import annotations import logging import os from typing import TYPE_CHECKING if TYPE_CHECKING: from amadeus import Client logger = logging.getLogger(__name__) [docs]def authenticate() -> Client: """Authenticate using the Amadeu...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/amadeus/utils.html
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Source code for langchain.tools.amadeus.base """Base class for Amadeus tools.""" from __future__ import annotations from typing import TYPE_CHECKING from langchain.pydantic_v1 import Field from langchain.tools.amadeus.utils import authenticate from langchain.tools.base import BaseTool if TYPE_CHECKING: from amadeus...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/amadeus/base.html
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Source code for langchain.tools.amadeus.flight_search import logging from datetime import datetime as dt from typing import Dict, Optional, Type from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.amadeus.base import AmadeusBaseTool l...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/amadeus/flight_search.html
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' components. For example: "2023-06-09T10:30:00" represents ' " June 9th, 2023, at 10:30 AM. " ) ) page_number: int = Field( default=1, description="The specific page number of flight results to retrieve", ) [docs]class AmadeusFlightSearch(AmadeusBaseTool): """Tool fo...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/amadeus/flight_search.html
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if earliestDeparture.date() != latestDeparture.date(): logger.error( " Error: Earliest and latest departure dates need to be the " " same date. If you're trying to search for round-trip " " flights, call this function for the outbound flight first, " ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/amadeus/flight_search.html
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output.append(itinerary) # Filter out flights after latest departure time for index, offer in enumerate(output): offerDeparture = dt.strptime( offer["segments"][0]["departure"]["at"], "%Y-%m-%dT%H:%M:%S" ) if offerDeparture > latestDeparture: ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/amadeus/flight_search.html
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Source code for langchain.tools.scenexplain.tool """Tool for the SceneXplain API.""" from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.base import BaseTool from langchain.utilities.scenexplain import Scen...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/scenexplain/tool.html
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Source code for langchain.tools.wikipedia.tool """Tool for the Wikipedia API.""" from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.base import BaseTool from langchain.utilities.wikipedia import WikipediaAPIWrapper [docs]class WikipediaQueryRun(BaseTool): ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/wikipedia/tool.html
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Source code for langchain.tools.azure_cognitive_services.utils import os import tempfile from urllib.parse import urlparse import requests [docs]def detect_file_src_type(file_path: str) -> str: """Detect if the file is local or remote.""" if os.path.isfile(file_path): return "local" parsed_url = url...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/utils.html
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Source code for langchain.tools.azure_cognitive_services.image_analysis from __future__ import annotations import logging from typing import Any, Dict, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import root_validator from langchain.tools.azure_cognitive_service...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html
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) try: import azure.ai.vision as sdk values["vision_service"] = sdk.VisionServiceOptions( endpoint=azure_cogs_endpoint, key=azure_cogs_key ) values["analysis_options"] = sdk.ImageAnalysisOptions() values["analysis_options"].features = (...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html
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res_dict["tags"] = [tag.name for tag in result.tags] if result.text is not None: res_dict["text"] = [line.content for line in result.text.lines] else: error_details = sdk.ImageAnalysisErrorDetails.from_result(result) raise RuntimeError( f"Image...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html
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if not image_analysis_result: return "No good image analysis result was found" return self._format_image_analysis_result(image_analysis_result) except Exception as e: raise RuntimeError(f"Error while running AzureCogsImageAnalysisTool: {e}")
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html
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Source code for langchain.tools.azure_cognitive_services.form_recognizer from __future__ import annotations import logging from typing import Any, Dict, List, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import root_validator from langchain.tools.azure_cognitive_...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/form_recognizer.html
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) azure_cogs_endpoint = get_from_dict_or_env( values, "azure_cogs_endpoint", "AZURE_COGS_ENDPOINT" ) try: from azure.ai.formrecognizer import DocumentAnalysisClient from azure.core.credentials import AzureKeyCredential values["doc_analysis_client"]...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/form_recognizer.html
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"prebuilt-document", document ) elif document_src_type == "remote": poller = self.doc_analysis_client.begin_analyze_document_from_url( "prebuilt-document", document_path ) else: raise ValueError(f"Invalid document path: {document_path}"...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/form_recognizer.html
0c9afbf4f473-3
) -> str: """Use the tool.""" try: document_analysis_result = self._document_analysis(query) if not document_analysis_result: return "No good document analysis result was found" return self._format_document_analysis_result(document_analysis_result) ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/form_recognizer.html
7fb4ebb97a68-0
Source code for langchain.tools.azure_cognitive_services.text2speech from __future__ import annotations import logging import tempfile from typing import Any, Dict, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import root_validator from langchain.tools.base impor...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html
7fb4ebb97a68-1
) try: import azure.cognitiveservices.speech as speechsdk values["speech_config"] = speechsdk.SpeechConfig( subscription=azure_cogs_key, region=azure_cogs_region ) except ImportError: raise ImportError( "azure-cognitiveservi...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html
7fb4ebb97a68-2
def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the tool.""" try: speech_file = self._text2speech(query, self.speech_language) return speech_file except Exception as e: raise Run...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html
97968f4dbe63-0
Source code for langchain.tools.azure_cognitive_services.speech2text from __future__ import annotations import logging import time from typing import Any, Dict, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import root_validator from langchain.tools.azure_cognitiv...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/speech2text.html
97968f4dbe63-1
) azure_cogs_region = get_from_dict_or_env( values, "azure_cogs_region", "AZURE_COGS_REGION" ) try: import azure.cognitiveservices.speech as speechsdk values["speech_config"] = speechsdk.SpeechConfig( subscription=azure_cogs_key, region=azure_c...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/speech2text.html
97968f4dbe63-2
except ImportError: pass audio_src_type = detect_file_src_type(audio_path) if audio_src_type == "local": audio_config = speechsdk.AudioConfig(filename=audio_path) elif audio_src_type == "remote": tmp_audio_path = download_audio_from_url(audio_path) ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/speech2text.html
d64f8eacfc8e-0
Source code for langchain.tools.brave_search.tool from __future__ import annotations from typing import Any, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.base import BaseTool from langchain.utilities.brave_search import BraveSearchWrapper [docs]class BraveSearch(BaseTo...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/brave_search/tool.html
f87def5a51c3-0
Source code for langchain.tools.golden_query.tool """Tool for the Golden API.""" from typing import Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.tools.base import BaseTool from langchain.utilities.golden_query import GoldenQueryAPIWrapper [docs]class GoldenQueryRun(BaseTool)...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/golden_query/tool.html
ae02ac58b730-0
Source code for langchain.tools.ddg_search.tool """Tool for the DuckDuckGo search API.""" import warnings from typing import Any, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 import Field from langchain.tools.base import BaseTool from langchain.utilities.duckduck...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ddg_search/tool.html
ae02ac58b730-1
default_factory=DuckDuckGoSearchAPIWrapper ) backend: str = "api" def _run( self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None, ) -> str: """Use the tool.""" res = self.api_wrapper.results(query, self.num_results, backend=self.backend) ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ddg_search/tool.html
b607b701715a-0
Source code for langchain.tools.ainetwork.transfer import json from typing import Optional, Type from langchain.callbacks.manager import AsyncCallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.ainetwork.base import AINBaseTool [docs]class TransferSchema(BaseModel): add...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/transfer.html
06b3ebc8c8e0-0
Source code for langchain.tools.ainetwork.rule import builtins import json from typing import Optional, Type from langchain.callbacks.manager import AsyncCallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.ainetwork.base import AINBaseTool, OperationType [docs]class RuleSch...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/rule.html
06b3ebc8c8e0-1
- path: /apps/langchain_project_1/$from/$to/$img - eval: auth.addr===$from&&!getValue('/apps/image_db/'+$img) ## GET Example - type: GET - path: /apps/langchain_project_1 """ # noqa: E501 args_schema: Type[BaseModel] = RuleSchema async def _arun( self, type: OperationType, path: str, ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/rule.html
d3c338174a31-0
Source code for langchain.tools.ainetwork.utils """AINetwork Blockchain tool utils.""" from __future__ import annotations import os from typing import TYPE_CHECKING, Literal, Optional if TYPE_CHECKING: from ain.ain import Ain [docs]def authenticate(network: Optional[Literal["mainnet", "testnet"]] = "testnet") -> Ai...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/utils.html
d3c338174a31-1
and "AIN_BLOCKCHAIN_ACCOUNT_PRIVATE_KEY" in os.environ ): provider_url = os.environ["AIN_BLOCKCHAIN_PROVIDER_URL"] chain_id = int(os.environ["AIN_BLOCKCHAIN_CHAIN_ID"]) private_key = os.environ["AIN_BLOCKCHAIN_ACCOUNT_PRIVATE_KEY"] else: raise EnvironmentE...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/utils.html
5fefbd8f66e5-0
Source code for langchain.tools.ainetwork.owner import builtins import json from typing import List, Optional, Type, Union from langchain.callbacks.manager import AsyncCallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.ainetwork.base import AINBaseTool, OperationType [docs...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/owner.html
5fefbd8f66e5-1
- *: All addresses permitted - Defaults to the current session's address ## SET - `SET` alters permissions for specific addresses, while other addresses remain unaffected. - When removing an address of `owner`, set all authorities for that address to false. - message `write_owner permission evaluated false` if fail ###...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/owner.html
5fefbd8f66e5-2
address: { "write_owner": write_owner or False, "write_rule": write_rule or False, "write_function": write_function or False, "branch_owner": branch_owner or Fa...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/owner.html
efef8fecb709-0
Source code for langchain.tools.ainetwork.app import builtins import json from enum import Enum from typing import List, Optional, Type, Union from langchain.callbacks.manager import AsyncCallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.ainetwork.base import AINBaseTool ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/app.html
efef8fecb709-1
2. Current session's address registered as admin. ## SET_ADMIN Example 2 - type: SET_ADMIN - appName: test_project - address: [<address1>, <address2>] ### Result: 1. Path /apps/test_project created. 2. <address1> and <address2> registered as admin. """ # noqa: E501 args_schema: Type[BaseModel] = AppSchema asyn...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/app.html
d02fc84769a0-0
Source code for langchain.tools.ainetwork.base """Base class for AINetwork tools.""" from __future__ import annotations import asyncio import threading from enum import Enum from typing import TYPE_CHECKING, Any, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.pydantic_v1 impor...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/base.html
d02fc84769a0-1
new_loop.close() thread = threading.Thread(target=thread_target) thread.start() thread.join() result = result_container[0] if isinstance(result, Exception): raise result return result else: result = loop.run_unti...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/base.html
f2c20f450b35-0
Source code for langchain.tools.ainetwork.value import builtins import json from typing import Optional, Type, Union from langchain.callbacks.manager import AsyncCallbackManagerForToolRun from langchain.pydantic_v1 import BaseModel, Field from langchain.tools.ainetwork.base import AINBaseTool, OperationType [docs]class...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/value.html
f2c20f450b35-1
- `/token/symbol`: Token symbol - `/token/total_supply`: Token total supply - `/transfer/<address from>/<address to>/<key>/value`: Transfer - `/withdraw/<service id>/<address>/<withdraw id>`: Withdraw """ args_schema: Type[BaseModel] = ValueSchema async def _arun( self, type: OperationType, ...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/value.html
e299fc1fc43c-0
Source code for langchain.tools.sleep.tool """Tool for agent to sleep.""" from asyncio import sleep as asleep from time import sleep from typing import Optional, Type from langchain.callbacks.manager import ( AsyncCallbackManagerForToolRun, CallbackManagerForToolRun, ) from langchain.pydantic_v1 import BaseMode...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/sleep/tool.html
c3b19ce59410-0
Source code for langchain.tools.youtube.search """ Adapted from https://github.com/venuv/langchain_yt_tools CustomYTSearchTool searches YouTube videos related to a person and returns a specified number of video URLs. Input to this tool should be a comma separated list, - the first part contains a person name - and th...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/youtube/search.html
c3b19ce59410-1
person = values[0] if len(values) > 1: num_results = int(values[1]) else: num_results = 2 return self._search(person, num_results)
https://api.python.langchain.com/en/latest/_modules/langchain/tools/youtube/search.html
01b74ded7868-0
Source code for langchain.tools.vectorstore.tool """Tools for interacting with vectorstores.""" import json from typing import Any, Dict, Optional from langchain.callbacks.manager import CallbackManagerForToolRun from langchain.llms.openai import OpenAI from langchain.pydantic_v1 import BaseModel, Field from langchain....
https://api.python.langchain.com/en/latest/_modules/langchain/tools/vectorstore/tool.html
01b74ded7868-1
) -> str: """Use the tool.""" from langchain.chains.retrieval_qa.base import RetrievalQA chain = RetrievalQA.from_chain_type( self.llm, retriever=self.vectorstore.as_retriever() ) return chain.run( query, callbacks=run_manager.get_child() if run_manager el...
https://api.python.langchain.com/en/latest/_modules/langchain/tools/vectorstore/tool.html
01b74ded7868-2
chain( {chain.question_key: query}, return_only_outputs=True, callbacks=run_manager.get_child() if run_manager else None, ) )
https://api.python.langchain.com/en/latest/_modules/langchain/tools/vectorstore/tool.html