id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
27,930 | import contextlib
import functools
import inspect
import warnings
from typing import Any, Callable, Generator, Type, TypeVar
from langchain_core._api.internal import is_caller_internal
class LangChainBetaWarning(DeprecationWarning):
"""A class for issuing beta warnings for LangChain users."""
The provided code sni... | Unmute LangChain beta warnings. |
27,931 | import os
from pathlib import Path
from typing import Optional, Union
PACKAGE_DIR = HERE.parent
SEPARATOR = os.sep
def get_relative_path(
file: Union[Path, str], *, relative_to: Path = PACKAGE_DIR
) -> str:
"""Get the path of the file as a relative path to the package directory."""
if isinstance(file, str):... | Path of the file as a LangChain import exclude langchain top namespace. |
27,932 | import contextlib
import functools
import inspect
import warnings
from typing import Any, Callable, Generator, Type, TypeVar
from langchain_core._api.internal import is_caller_internal
T = TypeVar("T", Type, Callable)
def warn_deprecated(
since: str,
*,
message: str = "",
name: str = "",
alternative... | Decorator to mark a function, a class, or a property as deprecated. When deprecating a classmethod, a staticmethod, or a property, the ``@deprecated`` decorator should go *under* ``@classmethod`` and ``@staticmethod`` (i.e., `deprecated` should directly decorate the underlying callable), but *over* ``@property``. When ... |
27,933 | import contextlib
import functools
import inspect
import warnings
from typing import Any, Callable, Generator, Type, TypeVar
from langchain_core._api.internal import is_caller_internal
class LangChainDeprecationWarning(DeprecationWarning):
"""A class for issuing deprecation warnings for LangChain users."""
class La... | Context manager to suppress LangChainDeprecationWarning. |
27,934 | import contextlib
import functools
import inspect
import warnings
from typing import Any, Callable, Generator, Type, TypeVar
from langchain_core._api.internal import is_caller_internal
class LangChainDeprecationWarning(DeprecationWarning):
"""A class for issuing deprecation warnings for LangChain users."""
class La... | Unmute LangChain deprecation warnings. |
27,935 | from __future__ import annotations
import enum
import threading
from abc import abstractmethod
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
from weakref import WeakValueDictionary
from langchain_c... | str.removeprefix() is only available in Python 3.9+. |
27,936 | from __future__ import annotations
import enum
import threading
from abc import abstractmethod
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
from weakref import WeakValueDictionary
from langchain_c... | Prefix the id of a ConfigurableFieldSpec. This is useful when a RunnableConfigurableAlternatives is used as a ConfigurableField of another RunnableConfigurableAlternatives. Args: spec: The ConfigurableFieldSpec to prefix. prefix: The prefix to add. Returns: |
27,937 | from __future__ import annotations
import enum
import threading
from abc import abstractmethod
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
from weakref import WeakValueDictionary
from langchain_c... | Make a ConfigurableFieldSpec for a ConfigurableFieldSingleOption or ConfigurableFieldMultiOption. |
27,938 | from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from functools import lru_cache
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
NamedTu... | Check if a callable accepts a context argument. |
27,939 | from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from functools import lru_cache
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
NamedTu... | Get the keys of the first argument of a function if it is a dict. |
27,940 | from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from functools import lru_cache
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
NamedTu... | Get the source code of a lambda function. Args: func: a callable that can be a lambda function Returns: str: the source code of the lambda function |
27,941 | from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from functools import lru_cache
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
NamedTu... | Get the nonlocal variables accessed by a function. |
27,942 | from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from functools import lru_cache
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
NamedTu... | Indent all lines of text after the first line. Args: text: The text to indent prefix: Used to determine the number of spaces to indent Returns: str: The indented text |
27,943 | from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from functools import lru_cache
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
NamedTu... | Asynchronously add a sequence of addable objects together. |
27,944 | from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from functools import lru_cache
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
NamedTu... | Get the unique config specs from a sequence of config specs. |
27,945 | from __future__ import annotations
import ast
import asyncio
import inspect
import textwrap
from functools import lru_cache
from inspect import signature
from itertools import groupby
from typing import (
Any,
AsyncIterable,
Callable,
Coroutine,
Dict,
Iterable,
List,
Mapping,
NamedTu... | This might transform the first chunk of a stream into an AddableDict. |
27,946 | import math
import os
from typing import Any, Mapping, Sequence, Tuple
class AsciiCanvas:
"""Class for drawing in ASCII.
Args:
cols (int): number of columns in the canvas. Should be > 1.
lines (int): number of lines in the canvas. Should be > 1.
"""
TIMEOUT = 10
def __init__(self, co... | Build a DAG and draw it in ASCII. Args: vertices (list): list of graph vertices. edges (list): list of graph edges. Returns: str: ASCII representation Example: >>> from dvc.dagascii import draw >>> vertices = [1, 2, 3, 4] >>> edges = [(1, 2), (2, 3), (2, 4), (1, 4)] >>> print(draw(vertices, edges)) +---+ +---+ | 3 | | ... |
27,947 | from __future__ import annotations
import asyncio
import inspect
import threading
from typing import (
TYPE_CHECKING,
Any,
AsyncIterator,
Awaitable,
Callable,
Dict,
Iterator,
List,
Mapping,
Optional,
Type,
Union,
cast,
)
from langchain_core.pydantic_v1 import BaseMode... | Identity function |
27,948 | from __future__ import annotations
import asyncio
import inspect
import threading
from typing import (
TYPE_CHECKING,
Any,
AsyncIterator,
Awaitable,
Callable,
Dict,
Iterator,
List,
Mapping,
Optional,
Type,
Union,
cast,
)
from langchain_core.pydantic_v1 import BaseMode... | Async identity function |
27,949 | from __future__ import annotations
import asyncio
import uuid
import warnings
from concurrent.futures import Executor, Future, ThreadPoolExecutor
from contextlib import contextmanager
from contextvars import ContextVar, copy_context
from functools import partial
from typing import (
TYPE_CHECKING,
Any,
Awai... | Get a list of configs from a single config or a list of configs. It is useful for subclasses overriding batch() or abatch(). Args: config (Optional[Union[RunnableConfig, List[RunnableConfig]]]): The config or list of configs. length (int): The length of the list. Returns: List[RunnableConfig]: The list of configs. Rais... |
27,950 | from __future__ import annotations
import asyncio
import uuid
import warnings
from concurrent.futures import Executor, Future, ThreadPoolExecutor
from contextlib import contextmanager
from contextvars import ContextVar, copy_context
from functools import partial
from typing import (
TYPE_CHECKING,
Any,
Awai... | Merge multiple configs into one. Args: *configs (Optional[RunnableConfig]): The configs to merge. Returns: RunnableConfig: The merged config. |
27,951 | from __future__ import annotations
import asyncio
import uuid
import warnings
from concurrent.futures import Executor, Future, ThreadPoolExecutor
from contextlib import contextmanager
from contextvars import ContextVar, copy_context
from functools import partial
from typing import (
TYPE_CHECKING,
Any,
Awai... | Call function that may optionally accept a run_manager and/or config. Args: func (Union[Callable[[Input], Output], Callable[[Input, CallbackManagerForChainRun], Output], Callable[[Input, CallbackManagerForChainRun, RunnableConfig], Output]]): The function to call. input (Input): The input to the function. run_manager (... |
27,952 | from __future__ import annotations
import asyncio
import uuid
import warnings
from concurrent.futures import Executor, Future, ThreadPoolExecutor
from contextlib import contextmanager
from contextvars import ContextVar, copy_context
from functools import partial
from typing import (
TYPE_CHECKING,
Any,
Awai... | Call function that may optionally accept a run_manager and/or config. Args: func (Union[Callable[[Input], Awaitable[Output]], Callable[[Input, AsyncCallbackManagerForChainRun], Awaitable[Output]], Callable[[Input, AsyncCallbackManagerForChainRun, RunnableConfig], Awaitable[Output]]]): The function to call. input (Input... |
27,953 | from __future__ import annotations
import asyncio
import uuid
import warnings
from concurrent.futures import Executor, Future, ThreadPoolExecutor
from contextlib import contextmanager
from contextvars import ContextVar, copy_context
from functools import partial
from typing import (
TYPE_CHECKING,
Any,
Awai... | Get a callback manager for a config. Args: config (RunnableConfig): The config. Returns: CallbackManager: The callback manager. |
27,954 | from __future__ import annotations
import asyncio
import uuid
import warnings
from concurrent.futures import Executor, Future, ThreadPoolExecutor
from contextlib import contextmanager
from contextvars import ContextVar, copy_context
from functools import partial
from typing import (
TYPE_CHECKING,
Any,
Awai... | Get an async callback manager for a config. Args: config (RunnableConfig): The config. Returns: AsyncCallbackManager: The async callback manager. |
27,955 | from __future__ import annotations
import inspect
from dataclasses import dataclass, field
from typing import (
TYPE_CHECKING,
Any,
Dict,
List,
NamedTuple,
Optional,
Type,
TypedDict,
Union,
overload,
)
from uuid import UUID, uuid4
from langchain_core.pydantic_v1 import BaseModel
... | null |
27,956 | from __future__ import annotations
import asyncio
import collections
import inspect
import threading
from abc import ABC, abstractmethod
from concurrent.futures import FIRST_COMPLETED, wait
from contextvars import copy_context
from functools import wraps
from itertools import groupby, tee
from operator import itemgette... | null |
27,957 | from __future__ import annotations
import asyncio
import collections
import inspect
import threading
from abc import ABC, abstractmethod
from concurrent.futures import FIRST_COMPLETED, wait
from contextvars import copy_context
from functools import wraps
from itertools import groupby, tee
from operator import itemgette... | null |
27,958 | from __future__ import annotations
import asyncio
import collections
import inspect
import threading
from abc import ABC, abstractmethod
from concurrent.futures import FIRST_COMPLETED, wait
from contextvars import copy_context
from functools import wraps
from itertools import groupby, tee
from operator import itemgette... | null |
27,959 | from __future__ import annotations
import asyncio
import collections
import inspect
import threading
from abc import ABC, abstractmethod
from concurrent.futures import FIRST_COMPLETED, wait
from contextvars import copy_context
from functools import wraps
from itertools import groupby, tee
from operator import itemgette... | null |
27,960 | from __future__ import annotations
import asyncio
import collections
import inspect
import threading
from abc import ABC, abstractmethod
from concurrent.futures import FIRST_COMPLETED, wait
from contextvars import copy_context
from functools import wraps
from itertools import groupby, tee
from operator import itemgette... | null |
27,961 | from __future__ import annotations
import asyncio
import collections
import inspect
import threading
from abc import ABC, abstractmethod
from concurrent.futures import FIRST_COMPLETED, wait
from contextvars import copy_context
from functools import wraps
from itertools import groupby, tee
from operator import itemgette... | null |
27,962 | from __future__ import annotations
import asyncio
import collections
import inspect
import threading
from abc import ABC, abstractmethod
from concurrent.futures import FIRST_COMPLETED, wait
from contextvars import copy_context
from functools import wraps
from itertools import groupby, tee
from operator import itemgette... | Decorate a function to make it a Runnable. Sets the name of the runnable to the name of the function. Any runnables called by the function will be traced as dependencies. Args: func: A callable. Returns: A Runnable. Example: .. code-block:: python from langchain_core.runnables import chain from langchain_core.prompts i... |
27,963 | from __future__ import annotations
import inspect
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Type,
Union,
)
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.load.load import load
from langchain_core.pydantic_v1... | Get the parameter names of the callable. |
27,964 | import logging
import re
from typing import List, Optional, Sequence, Union
from urllib.parse import urljoin, urlparse
logger = logging.getLogger(__name__)
def find_all_links(
raw_html: str, *, pattern: Union[str, re.Pattern, None] = None
) -> List[str]:
"""Extract all links from a raw html string.
Args:
... | Extract all links from a raw html string and convert into absolute paths. Args: raw_html: original html. url: the url of the html. base_url: the base url to check for outside links against. pattern: Regex to use for extracting links from raw html. prevent_outside: If True, ignore external links which are not children o... |
27,965 | import contextlib
import datetime
import functools
import importlib
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Optional, Set, Tuple, Union
from packaging.version import parse
from requests import HTTPError, Response
from langchain_core.pydantic_v1 import SecretStr
Th... | Validate specified keyword args are mutually exclusive. |
27,966 | import contextlib
import datetime
import functools
import importlib
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Optional, Set, Tuple, Union
from packaging.version import parse
from requests import HTTPError, Response
from langchain_core.pydantic_v1 import SecretStr
Th... | Raise an error with the response text. |
27,967 | import contextlib
import datetime
import functools
import importlib
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Optional, Set, Tuple, Union
from packaging.version import parse
from requests import HTTPError, Response
from langchain_core.pydantic_v1 import SecretStr
Th... | Context manager for mocking out datetime.now() in unit tests. Example: with mock_now(datetime.datetime(2011, 2, 3, 10, 11)): assert datetime.datetime.now() == datetime.datetime(2011, 2, 3, 10, 11) |
27,968 | import contextlib
import datetime
import functools
import importlib
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Optional, Set, Tuple, Union
from packaging.version import parse
from requests import HTTPError, Response
from langchain_core.pydantic_v1 import SecretStr
Th... | Dynamically imports a module and raises a helpful exception if the module is not installed. |
27,969 | import contextlib
import datetime
import functools
import importlib
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Optional, Set, Tuple, Union
from packaging.version import parse
from requests import HTTPError, Response
from langchain_core.pydantic_v1 import SecretStr
Th... | Check the version of a package. |
27,970 | import contextlib
import datetime
import functools
import importlib
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Optional, Set, Tuple, Union
from packaging.version import parse
from requests import HTTPError, Response
from langchain_core.pydantic_v1 import SecretStr
Th... | Get field names, including aliases, for a pydantic class. Args: pydantic_cls: Pydantic class. |
27,971 | import contextlib
import datetime
import functools
import importlib
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Optional, Set, Tuple, Union
from packaging.version import parse
from requests import HTTPError, Response
from langchain_core.pydantic_v1 import SecretStr
Th... | Build extra kwargs from values and extra_kwargs. Args: extra_kwargs: Extra kwargs passed in by user. values: Values passed in by user. all_required_field_names: All required field names for the pydantic class. |
27,972 | import contextlib
import datetime
import functools
import importlib
import warnings
from importlib.metadata import version
from typing import Any, Callable, Dict, Optional, Set, Tuple, Union
from packaging.version import parse
from requests import HTTPError, Response
from langchain_core.pydantic_v1 import SecretStr
Th... | Convert a string to a SecretStr if needed. |
27,973 | from __future__ import annotations
from typing import Any, Dict
The provided code snippet includes necessary dependencies for implementing the `merge_dicts` function. Write a Python function `def merge_dicts(left: Dict[str, Any], right: Dict[str, Any]) -> Dict[str, Any]` to solve the following problem:
Merge two dicts... | Merge two dicts, handling specific scenarios where a key exists in both dictionaries but has a value of None in 'left'. In such cases, the method uses the value from 'right' for that key in the merged dictionary. Example: If left = {"function_call": {"arguments": None}} and right = {"function_call": {"arguments": "{\n"... |
27,974 | from typing import Dict, List, Optional, TextIO
_TEXT_COLOR_MAPPING = {
"blue": "36;1",
"yellow": "33;1",
"pink": "38;5;200",
"green": "32;1",
"red": "31;1",
}
The provided code snippet includes necessary dependencies for implementing the `get_color_mapping` function. Write a Python function `def g... | Get mapping for items to a support color. |
27,975 | from typing import Dict, List, Optional, TextIO
The provided code snippet includes necessary dependencies for implementing the `get_bolded_text` function. Write a Python function `def get_bolded_text(text: str) -> str` to solve the following problem:
Get bolded text.
Here is the function:
def get_bolded_text(text: s... | Get bolded text. |
27,976 | from typing import Dict, List, Optional, TextIO
def get_colored_text(text: str, color: str) -> str:
"""Get colored text."""
color_str = _TEXT_COLOR_MAPPING[color]
return f"\u001b[{color_str}m\033[1;3m{text}\u001b[0m"
The provided code snippet includes necessary dependencies for implementing the `print_text... | Print text with highlighting and no end characters. |
27,977 | from __future__ import annotations
import inspect
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Literal,
Optional,
Tuple,
Type,
Union,
cast,
)
from typing_extensions import TypedDict
from langchain_core._api import deprecated
from langchain_core.pydantic_v1 i... | Converts a Pydantic model to a function description for the OpenAI API. |
27,978 | from __future__ import annotations
import inspect
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Literal,
Optional,
Tuple,
Type,
Union,
cast,
)
from typing_extensions import TypedDict
from langchain_core._api import deprecated
from langchain_core.pydantic_v1 i... | Format tool into the OpenAI function API. |
27,979 |
The provided code snippet includes necessary dependencies for implementing the `get_pydantic_major_version` function. Write a Python function `def get_pydantic_major_version() -> int` to solve the following problem:
Get the major version of Pydantic.
Here is the function:
def get_pydantic_major_version() -> int:
... | Get the major version of Pydantic. |
27,980 | import base64
import mimetypes
def encode_image(image_path: str) -> str:
"""Get base64 string from image URI."""
with open(image_path, "rb") as image_file:
return base64.b64encode(image_file.read()).decode("utf-8")
def image_to_data_url(image_path: str) -> str:
encoding = encode_image(image_path)
... | null |
27,981 | from collections import deque
from itertools import islice
from typing import (
Any,
ContextManager,
Deque,
Generator,
Generic,
Iterable,
Iterator,
List,
Optional,
Tuple,
TypeVar,
Union,
overload,
)
from typing_extensions import Literal
T = TypeVar("T")
The provided ... | An individual iterator of a :py:func:`~.tee` |
27,982 | from collections import deque
from itertools import islice
from typing import (
Any,
ContextManager,
Deque,
Generator,
Generic,
Iterable,
Iterator,
List,
Optional,
Tuple,
TypeVar,
Union,
overload,
)
from typing_extensions import Literal
T = TypeVar("T")
The provided ... | Utility batching function. |
27,983 | from __future__ import annotations
import os
from typing import Any, Dict, Optional
def get_from_env(key: str, env_key: str, default: Optional[str] = None) -> str:
"""Get a value from a dictionary or an environment variable."""
if env_key in os.environ and os.environ[env_key]:
return os.environ[env_key]... | Get a value from a dictionary or an environment variable. |
27,984 | from collections import deque
from typing import (
Any,
AsyncContextManager,
AsyncGenerator,
AsyncIterator,
Awaitable,
Callable,
Deque,
Generic,
Iterator,
List,
Optional,
Tuple,
TypeVar,
Union,
cast,
overload,
)
T = TypeVar("T")
_no_default = object()
The... | Pure-Python implementation of anext() for testing purposes. Closely matches the builtin anext() C implementation. Can be used to compare the built-in implementation of the inner coroutines machinery to C-implementation of __anext__() and send() or throw() on the returned generator. |
27,985 | from collections import deque
from typing import (
Any,
AsyncContextManager,
AsyncGenerator,
AsyncIterator,
Awaitable,
Callable,
Deque,
Generic,
Iterator,
List,
Optional,
Tuple,
TypeVar,
Union,
cast,
overload,
)
T = TypeVar("T")
The provided code snippet ... | An individual iterator of a :py:func:`~.tee` |
27,986 | from typing import Any, List
The provided code snippet includes necessary dependencies for implementing the `comma_list` function. Write a Python function `def comma_list(items: List[Any]) -> str` to solve the following problem:
Convert a list to a comma-separated string.
Here is the function:
def comma_list(items: ... | Convert a list to a comma-separated string. |
27,987 | from langchain.output_parsers.regex import RegexParser
The provided code snippet includes necessary dependencies for implementing the `load_output_parser` function. Write a Python function `def load_output_parser(config: dict) -> dict` to solve the following problem:
Load an output parser. Args: config: config dict Re... | Load an output parser. Args: config: config dict Returns: config dict with output parser loaded |
27,988 | from __future__ import annotations
from typing import Any, List
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.output_parsers.json import parse_and_check_json_markdown
from langchain_core.pydantic_v1 import BaseModel
from langchain.output_parsers.format_instructions import (
STRUCTUR... | null |
27,989 | import random
from datetime import datetime, timedelta
from typing import List
from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.utils import comma_list
The provided code snippet includes necessary dependencies for implementing th... | Generates n random datetime strings conforming to the given pattern within the specified date range. Pattern should be a string containing the desired format codes. start_date and end_date should be datetime objects representing the start and end of the date range. |
27,990 | from __future__ import annotations
import json
from typing import TYPE_CHECKING, Any, Optional
from langchain_core.load.dump import dumps
from langchain_core.load.load import loads
from langchain_core.prompts import BasePromptTemplate
def _get_client(api_url: Optional[str] = None, api_key: Optional[str] = None) -> Clie... | Pushes an object to the hub and returns the URL it can be viewed at in a browser. :param repo_full_name: The full name of the repo to push to in the format of `owner/repo`. :param object: The LangChain to serialize and push to the hub. :param api_url: The URL of the LangChain Hub API. Defaults to the hosted API service... |
27,991 | from __future__ import annotations
import json
from typing import TYPE_CHECKING, Any, Optional
from langchain_core.load.dump import dumps
from langchain_core.load.load import loads
from langchain_core.prompts import BasePromptTemplate
def _get_client(api_url: Optional[str] = None, api_key: Optional[str] = None) -> Clie... | Pulls an object from the hub and returns it as a LangChain object. :param owner_repo_commit: The full name of the repo to pull from in the format of `owner/repo:commit_hash`. :param api_url: The URL of the LangChain Hub API. Defaults to the hosted API service if you have an api key set, or a localhost instance if not. ... |
27,992 | from abc import ABC, abstractmethod
from typing import Callable, List, Tuple
from langchain_core.language_models import BaseLanguageModel
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.language_models.llms import BaseLLM
from langchain_core.prompts import BasePromptTemplate
fro... | Check if the language model is a LLM. Args: llm: Language model to check. Returns: True if the language model is a BaseLLM model, False otherwise. |
27,993 | from abc import ABC, abstractmethod
from typing import Callable, List, Tuple
from langchain_core.language_models import BaseLanguageModel
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.language_models.llms import BaseLLM
from langchain_core.prompts import BasePromptTemplate
fro... | Check if the language model is a chat model. Args: llm: Language model to check. Returns: True if the language model is a BaseChatModel model, False otherwise. |
27,994 | from __future__ import annotations
from typing import Any, Dict, List, Optional, Sequence, Tuple
from urllib.parse import urlparse
from langchain_community.utilities.requests import TextRequestsWrapper
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from lan... | Check if a URL is in the allowed domains. Args: url (str): The input URL. limit_to_domains (Sequence[str]): The allowed domains. Returns: bool: True if the URL is in the allowed domains, False otherwise. |
27,995 | from __future__ import annotations
import re
from typing import Any, Dict, List, Optional
from langchain_community.graphs import NeptuneGraph
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.base import BasePromptTem... | Trim the query to only include Cypher keywords. |
27,996 | from __future__ import annotations
import re
from typing import Any, Dict, List, Optional
from langchain_community.graphs import NeptuneGraph
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.base import BasePromptTem... | Extract Cypher code from text using Regex. |
27,997 | from __future__ import annotations
import re
from typing import Any, Dict, List, Optional
from langchain_community.graphs import NeptuneGraph
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.base import BasePromptTem... | Decides whether to use the simple prompt |
27,998 | from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.graphs import GremlinGraph
from langchain_core.callbacks.manager import CallbackManager, CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import Bas... | Extract Gremlin code from a text. Args: text: Text to extract Gremlin code from. Returns: Gremlin code extracted from the text. |
27,999 | from __future__ import annotations
import re
from typing import Any, Dict, List, Optional
from langchain_community.graphs import FalkorDBGraph
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplat... | Extract Cypher code from a text. Args: text: Text to extract Cypher code from. Returns: Cypher code extracted from the text. |
28,000 | from __future__ import annotations
import re
from typing import Any, Dict, List, Optional
from langchain_community.graphs.graph_store import GraphStore
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BaseProm... | Extract Cypher code from a text. Args: text: Text to extract Cypher code from. Returns: Cypher code extracted from the text. |
28,001 | from __future__ import annotations
import re
from typing import Any, Dict, List, Optional
from langchain_community.graphs.graph_store import GraphStore
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BaseProm... | Filter the schema based on included or excluded types |
28,002 | from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.graphs import NeptuneRdfGraph
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.base import BasePromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
from lan... | null |
28,003 | import inspect
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import (
BaseGenerationOutputParser,
BaseLLMOutputParser,
Bas... | Create a runnable that uses an Ernie function to get a structured output. Args: output_schema: Either a dictionary or pydantic.BaseModel class. If a dictionary is passed in, it's assumed to already be a valid JsonSchema. For best results, pydantic.BaseModels should have docstrings describing what the schema represents ... |
28,004 | import inspect
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import (
BaseGenerationOutputParser,
BaseLLMOutputParser,
Bas... | [Legacy] Create an LLMChain that uses an Ernie function to get a structured output. Args: output_schema: Either a dictionary or pydantic.BaseModel class. If a dictionary is passed in, it's assumed to already be a valid JsonSchema. For best results, pydantic.BaseModels should have docstrings describing what the schema r... |
28,005 | from __future__ import annotations
from typing import Any, Mapping, Optional, Protocol
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
from langchain.chains.combine_documents.... | Load a question answering with sources chain. Args: llm: Language Model to use in the chain. chain_type: Type of document combining chain to use. Should be one of "stuff", "map_reduce", "refine" and "map_rerank". verbose: Whether chains should be run in verbose mode or not. Note that this applies to all chains that mak... |
28,006 | from __future__ import annotations
import inspect
import warnings
from abc import abstractmethod
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
Callbacks,
... | null |
28,007 | from __future__ import annotations
import warnings
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union, cast
from langchain_core.callbacks import (
AsyncCallbackManager,
AsyncCallbackManagerForChainRun,
CallbackManager,
CallbackManagerForChainRun,
Callbacks,
)
from langchain_core.la... | null |
28,008 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | Load LLM chain from config dict. |
28,009 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | Load hypothetical document embedder chain from config dict. |
28,010 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,011 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,012 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,013 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,014 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,015 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,016 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,017 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,018 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,019 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,020 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,021 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,022 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,023 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,024 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,025 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,026 | import json
from pathlib import Path
from typing import Any, Union
import yaml
from langchain_community.llms.loading import load_llm, load_llm_from_config
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_config,
)
from langchain_core.utils.loading import try_lo... | null |
28,027 | from typing import List, Type, Union
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables import Runnable
from langchain_core.utils.function_calling import convert_pydantic_to_ope... | Creates a chain that extracts information from a passage. Args: pydantic_schemas: The schema of the entities to extract. llm: The language model to use. system_message: The system message to use for extraction. Returns: A runnable that extracts information from a passage. |
28,028 | from __future__ import annotations
import re
from abc import abstractmethod
from typing import Any, Dict, List, Optional, Sequence, Tuple
import numpy as np
from langchain_community.llms.openai import OpenAI
from langchain_core.callbacks import (
CallbackManagerForChainRun,
)
from langchain_core.language_models imp... | null |
28,029 | import json
from typing import Any, Callable, Dict, Literal, Optional, Sequence, Type, Union
from langchain_core.output_parsers import (
BaseGenerationOutputParser,
BaseOutputParser,
JsonOutputParser,
)
from langchain_core.output_parsers.openai_functions import (
JsonOutputFunctionsParser,
PydanticA... | Create a runnable for extracting structured outputs. Args: output_schema: Either a dictionary or pydantic.BaseModel class. If a dictionary is passed in, it's assumed to already be a valid JsonSchema. For best results, pydantic.BaseModels should have docstrings describing what the schema represents and descriptions for ... |
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