id stringlengths 14 16 | text stringlengths 13 2.7k | source stringlengths 57 178 |
|---|---|---|
60eb0b161d5e-12 | elt = t.dims[0]
self.dispatch(elt)
self.write(",")
else:
interleave(lambda: self.write(", "), self.dispatch, t.dims)
# argument
def _arg(self, t):
self.write(t.arg)
if t.annotation:
self.write(": ")
self.dispatch(t.annotation)
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/e2b_data_analysis/unparse.html |
60eb0b161d5e-13 | if d:
self.write("=")
self.dispatch(d)
# kwargs
if t.kwarg:
if first:
first = False
else:
self.write(", ")
self.write("**" + t.kwarg.arg)
if t.kwarg.annotation:
self.wr... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/e2b_data_analysis/unparse.html |
0a6a64e18a99-0 | Source code for langchain.tools.openapi.utils.api_models
"""Pydantic models for parsing an OpenAPI spec."""
from __future__ import annotations
import logging
from enum import Enum
from typing import (
TYPE_CHECKING,
Any,
Dict,
List,
Optional,
Sequence,
Tuple,
Type,
Union,
)
from lang... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-1 | 'Unsupported APIPropertyLocation "{location}"'
" for parameter {name}. "
+ f"Valid values are {[loc.value for loc in SUPPORTED_LOCATIONS]}"
)
SCHEMA_TYPE = Union[str, Type, tuple, None, Enum]
[docs]class APIPropertyBase(BaseModel):
"""Base model for an API property."""
# The name of the parameter is req... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-2 | Schema,
)
[docs]class APIProperty(APIPropertyBase):
"""A model for a property in the query, path, header, or cookie params."""
location: APIPropertyLocation = Field(alias="location")
"""The path/how it's being passed to the endpoint."""
@staticmethod
def _cast_schema_list_type(
schema: S... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-3 | if schema is None:
return None
schema_type: SCHEMA_TYPE = APIProperty._cast_schema_list_type(schema)
if schema_type == "array":
schema_type = APIProperty._get_schema_type_for_array(schema)
elif schema_type == "object":
# TODO: Resolve array and object types to... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-4 | return schema
[docs] @staticmethod
def is_supported_location(location: str) -> bool:
"""Return whether the provided location is supported."""
try:
return APIPropertyLocation.from_str(location) in SUPPORTED_LOCATIONS
except ValueError:
return False
[docs] @classm... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-5 | from openapi_pydantic import (
Reference,
)
properties = []
required_props = schema.required or []
if schema.properties is None:
raise ValueError(
f"No properties found when processing object schema: {schema}"
)
for prop_name, p... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-6 | required=True, # TODO: Add required
spec=spec,
references_used=references_used,
)
return f"Array<{array_type.type}>"
return "array"
[docs] @classmethod
def from_schema(
cls,
schema: Schema,
name: str,
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-7 | """The description of the request body."""
properties: List[APIRequestBodyProperty] = Field(alias="properties")
# E.g., application/json - we only support JSON at the moment.
media_type: str = Field(alias="media_type")
"""The media type of the request body."""
@classmethod
def _process_supported... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-8 | properties=[],
references_used=references_used,
)
)
return api_request_body_properties
[docs] @classmethod
def from_request_body(
cls, request_body: RequestBody, spec: OpenAPISpec
) -> "APIRequestBody":
"""Instantiate from an OpenAPI Req... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-9 | # components: Dict[str, BaseModel] = Field(alias="components")
request_body: Optional[APIRequestBody] = Field(alias="request_body")
"""The request body of the operation."""
@staticmethod
def _get_properties_from_parameters(
parameters: List[Parameter], spec: OpenAPISpec
) -> List[APIProperty... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-10 | properties = cls._get_properties_from_parameters(parameters, spec)
operation_id = OpenAPISpec.get_cleaned_operation_id(operation, path, method)
request_body = spec.get_request_body_for_operation(operation)
api_request_body = (
APIRequestBody.from_request_body(request_body, spec)
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-11 | ) -> str:
"""Format nested properties."""
formatted_props = []
for prop in properties:
prop_name = prop.name
prop_type = self.ts_type_from_python(prop.type)
prop_required = "" if prop.required else "?"
prop_desc = f"/* {prop.description} */" if pro... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
0a6a64e18a99-12 | {formatted_params}
}}) => any;
"""
return typescript_definition.strip()
@property
def query_params(self) -> List[str]:
return [
property.name
for property in self.properties
if property.location == APIPropertyLocation.QUERY
]
@property
def path... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
bba385ce080c-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html |
bba385ce080c-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html |
bba385ce080c-2 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html |
bba385ce080c-3 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html |
bba385ce080c-4 | 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." # ... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html |
bba385ce080c-5 | 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
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html |
bba385ce080c-6 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html |
bba385ce080c-7 | ) -> str:
"""Get the names of the tables."""
return ", ".join(self.powerbi.get_table_names()) | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/powerbi/tool.html |
ced2d075af1d-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, Field, root_validator
from langchain.schema.language_model import BaseLanguageModel
from langchain.callbacks.manager import (
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html |
ced2d075af1d-1 | name: str = "schema_sql_db"
description: str = """
Input to this tool is a comma-separated list of tables, output is the schema and sample rows for those tables.
Be sure that the tables actually exist by calling list_tables_sql_db first!
Example Input: "table1, table2, table3"
"""
def _run(
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html |
ced2d075af1d-2 | 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!
"""
@root_validator(pre=True)
def initialize_llm_chain(cls, values: Dict[str, Any]) -> Dict[str, ... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html |
5051509e99d9-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/metaphor_search/tool.html |
5051509e99d9-1 | 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:... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/metaphor_search/tool.html |
98958a40c4c9-0 | Source code for langchain.tools.interaction.tool
"""Tools for interacting with the user."""
import warnings
from typing import Any
from langchain.tools.human.tool import HumanInputRun
[docs]def StdInInquireTool(*args: Any, **kwargs: Any) -> HumanInputRun:
"""Tool for asking the user for input."""
warnings.warn(... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/interaction/tool.html |
771c9596001f-0 | 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 ... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/jira/tool.html |
771c9596001f-1 | ) -> str:
"""Use the Atlassian Jira API to run an operation."""
return self.api_wrapper.run(self.mode, instructions) | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/jira/tool.html |
ebe0138f922e-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/google_places/tool.html |
fbd1a4195c09-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_hyperlinks.html |
fbd1a4195c09-1 | 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:
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_hyperlinks.html |
67dab042ea93-0 | Source code for langchain.tools.playwright.navigate
from __future__ import annotations
from typing import Optional, Type
from urllib.parse import urlparse
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.pydantic_v1 import BaseModel, Field, va... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate.html |
67dab042ea93-1 | See https://python.langchain.com/docs/security for more information.
"""
name: str = "navigate_browser"
description: str = "Navigate a browser to the specified URL"
args_schema: Type[BaseModel] = NavigateToolInput
def _run(
self,
url: str,
run_manager: Optional[CallbackManage... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate.html |
63d9df40bdf5-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/base.html |
63d9df40bdf5-1 | 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.... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/base.html |
bb34a5f532d9-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/utils.html |
bb34a5f532d9-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/utils.html |
0f203a029aa4-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate_back.html |
0f203a029aa4-1 | 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" | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate_back.html |
f80284b49b65-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/current_page.html |
149bb4b27c11-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html |
149bb4b27c11-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html |
149bb4b27c11-2 | ) -> 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html |
d28b64d9bbab-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_text.html |
d28b64d9bbab-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_text.html |
d2c6ad871f64-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/click.html |
d2c6ad871f64-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/playwright/click.html |
833a4fb1f59e-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/youtube/search.html |
833a4fb1f59e-1 | person = values[0]
if len(values) > 1:
num_results = int(values[1])
else:
num_results = 2
return self._search(person, num_results) | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/youtube/search.html |
eb8fcd4bbf9f-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/json/tool.html |
eb8fcd4bbf9f-1 | """
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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/json/tool.html |
eb8fcd4bbf9f-2 | """
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] =... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/json/tool.html |
7418aa39c2e7-0 | 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 ... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/search.html |
7418aa39c2e7-1 | """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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/search.html |
7418aa39c2e7-2 | 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:
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/search.html |
88f821756354-0 | 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]... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/create_draft.html |
88f821756354-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/create_draft.html |
50cdaa916a7f-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/base.html |
727022b604a6-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/get_thread.html |
be326217a770-0 | 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 ... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/utils.html |
be326217a770-1 | """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.... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/utils.html |
be326217a770-2 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/utils.html |
1622a59c0897-0 | 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 ... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/get_message.html |
1622a59c0897-1 | 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")
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/get_message.html |
3e118a8bdf85-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/send_message.html |
3e118a8bdf85-1 | ) -> 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/gmail/send_message.html |
458e6b87d4c5-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html |
458e6b87d4c5-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html |
458e6b87d4c5-2 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html |
458e6b87d4c5-3 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html |
458e6b87d4c5-4 | ) -> 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/requests/tool.html |
e37813be2630-0 | 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):
"""... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/transfer.html |
7062382029a6-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/rule.html |
7062382029a6-1 | ## SET Example
- type: SET
- 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: Operation... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/rule.html |
6a6430ba0869-0 | Source code for langchain.tools.ainetwork.base
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 import Field
from langchain.tools.ainetwork... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/base.html |
6a6430ba0869-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/base.html |
a4fbd39214c4-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/utils.html |
a4fbd39214c4-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/utils.html |
5354ec80e6c0-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/owner.html |
5354ec80e6c0-1 | ## Address Rules
- 0x[0-9a-fA-F]{40}: 40-digit hexadecimal address
- *: 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 fa... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/owner.html |
5354ec80e6c0-2 | transactionInput=ValueOnlyTransactionInput(
value={
".owner": {
"owners": {
address: {
"write_owner": write_owner or False,
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/owner.html |
d7f51b07cff7-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/value.html |
d7f51b07cff7-1 | - `/sharding`: Sharding
- `/token/name`: Token name
- `/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 _a... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/value.html |
6843b35cb89d-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
... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/app.html |
6843b35cb89d-1 | ## SET_ADMIN Example 1
- type: SET_ADMIN
- appName: ain_project
### Result:
1. Path /apps/ain_project created.
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. <addres... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/app.html |
6843b35cb89d-2 | return json.dumps(res, ensure_ascii=False)
except Exception as e:
return f"{builtins.type(e).__name__}: {str(e)}" | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/ainetwork/app.html |
68c677afece8-0 | Source code for langchain.tools.bearly.tool
import base64
import itertools
import json
import re
from pathlib import Path
from typing import Dict, List, Type
import requests
from langchain.pydantic_v1 import BaseModel, Field
from langchain.tools import Tool
[docs]def strip_markdown_code(md_string: str) -> str:
"""S... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/bearly/tool.html |
68c677afece8-1 | You must send the whole script every time and print your outputs. \
Script should be pure python code that can be evaluated. \
It should be in python format NOT markdown. \
The code should NOT be wrapped in backticks. \
All python packages including requests, matplotlib, scipy, numpy, pandas, \
etc are available. \
If ... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/bearly/tool.html |
68c677afece8-2 | f"- path: `{target_path}` \n first four lines: {peek_content}"
f" \n description: `{file_info.description}`"
)
return "\n".join(lines)
@property
def description(self) -> str:
return (base_description + "\n\n" + self.file_description).strip()
[docs] def make_input_f... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/bearly/tool.html |
68c677afece8-3 | """Use the tool asynchronously."""
raise NotImplementedError("custom_search does not support async")
[docs] def add_file(self, source_path: str, target_path: str, description: str) -> None:
if target_path in self.files:
raise ValueError("target_path already exists")
if not Path(so... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/bearly/tool.html |
bba6e8acfab4-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html |
bba6e8acfab4-1 | )
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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html |
bba6e8acfab4-2 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html |
c179588460a8-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html |
c179588460a8-1 | )
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 = (... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html |
c179588460a8-2 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html |
c179588460a8-3 | 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}") | lang/api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html |
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