id stringlengths 14 16 | text stringlengths 29 2.73k | source stringlengths 49 115 |
|---|---|---|
5e1db2134523-0 | Source code for langchain.agents.react.base
"""Chain that implements the ReAct paper from https://arxiv.org/pdf/2210.03629.pdf."""
from typing import Any, List, Optional, Sequence
from pydantic import Field
from langchain.agents.agent import Agent, AgentExecutor, AgentOutputParser
from langchain.agents.agent_types impo... | https://python.langchain.com/en/latest/_modules/langchain/agents/react/base.html |
5e1db2134523-1 | super()._validate_tools(tools)
if len(tools) != 2:
raise ValueError(f"Exactly two tools must be specified, but got {tools}")
tool_names = {tool.name for tool in tools}
if tool_names != {"Lookup", "Search"}:
raise ValueError(
f"Tool names should be Lookup a... | https://python.langchain.com/en/latest/_modules/langchain/agents/react/base.html |
5e1db2134523-2 | if term.lower() != self.lookup_str:
self.lookup_str = term.lower()
self.lookup_index = 0
else:
self.lookup_index += 1
lookups = [p for p in self._paragraphs if self.lookup_str in p.lower()]
if len(lookups) == 0:
return "No Results"
elif sel... | https://python.langchain.com/en/latest/_modules/langchain/agents/react/base.html |
5e1db2134523-3 | raise ValueError(f"Tool name should be Play, got {tool_names}")
[docs]class ReActChain(AgentExecutor):
"""Chain that implements the ReAct paper.
Example:
.. code-block:: python
from langchain import ReActChain, OpenAI
react = ReAct(llm=OpenAI())
"""
def __init__(self, llm... | https://python.langchain.com/en/latest/_modules/langchain/agents/react/base.html |
a977ae82d2bf-0 | Source code for langchain.agents.self_ask_with_search.base
"""Chain that does self ask with search."""
from typing import Any, Sequence, Union
from pydantic import Field
from langchain.agents.agent import Agent, AgentExecutor, AgentOutputParser
from langchain.agents.agent_types import AgentType
from langchain.agents.se... | https://python.langchain.com/en/latest/_modules/langchain/agents/self_ask_with_search/base.html |
a977ae82d2bf-1 | raise ValueError(f"Exactly one tool must be specified, but got {tools}")
tool_names = {tool.name for tool in tools}
if tool_names != {"Intermediate Answer"}:
raise ValueError(
f"Tool name should be Intermediate Answer, got {tool_names}"
)
@property
def obs... | https://python.langchain.com/en/latest/_modules/langchain/agents/self_ask_with_search/base.html |
f604bd5077d7-0 | Source code for langchain.agents.conversational.base
"""An agent designed to hold a conversation in addition to using tools."""
from __future__ import annotations
from typing import Any, List, Optional, Sequence
from pydantic import Field
from langchain.agents.agent import Agent, AgentOutputParser
from langchain.agents... | https://python.langchain.com/en/latest/_modules/langchain/agents/conversational/base.html |
f604bd5077d7-1 | [docs] @classmethod
def create_prompt(
cls,
tools: Sequence[BaseTool],
prefix: str = PREFIX,
suffix: str = SUFFIX,
format_instructions: str = FORMAT_INSTRUCTIONS,
ai_prefix: str = "AI",
human_prefix: str = "Human",
input_variables: Optional[List[str... | https://python.langchain.com/en/latest/_modules/langchain/agents/conversational/base.html |
f604bd5077d7-2 | super()._validate_tools(tools)
validate_tools_single_input(cls.__name__, tools)
[docs] @classmethod
def from_llm_and_tools(
cls,
llm: BaseLanguageModel,
tools: Sequence[BaseTool],
callback_manager: Optional[BaseCallbackManager] = None,
output_parser: Optional[Agent... | https://python.langchain.com/en/latest/_modules/langchain/agents/conversational/base.html |
093301a5cf6a-0 | Source code for langchain.agents.conversational_chat.base
"""An agent designed to hold a conversation in addition to using tools."""
from __future__ import annotations
from typing import Any, List, Optional, Sequence, Tuple
from pydantic import Field
from langchain.agents.agent import Agent, AgentOutputParser
from lang... | https://python.langchain.com/en/latest/_modules/langchain/agents/conversational_chat/base.html |
093301a5cf6a-1 | @property
def llm_prefix(self) -> str:
"""Prefix to append the llm call with."""
return "Thought:"
@classmethod
def _validate_tools(cls, tools: Sequence[BaseTool]) -> None:
super()._validate_tools(tools)
validate_tools_single_input(cls.__name__, tools)
[docs] @classmethod
... | https://python.langchain.com/en/latest/_modules/langchain/agents/conversational_chat/base.html |
093301a5cf6a-2 | ) -> List[BaseMessage]:
"""Construct the scratchpad that lets the agent continue its thought process."""
thoughts: List[BaseMessage] = []
for action, observation in intermediate_steps:
thoughts.append(AIMessage(content=action.log))
human_message = HumanMessage(
... | https://python.langchain.com/en/latest/_modules/langchain/agents/conversational_chat/base.html |
093301a5cf6a-3 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https://python.langchain.com/en/latest/_modules/langchain/agents/conversational_chat/base.html |
ca2c90fa267d-0 | Source code for langchain.agents.mrkl.base
"""Attempt to implement MRKL systems as described in arxiv.org/pdf/2205.00445.pdf."""
from __future__ import annotations
from typing import Any, Callable, List, NamedTuple, Optional, Sequence
from pydantic import Field
from langchain.agents.agent import Agent, AgentExecutor, A... | https://python.langchain.com/en/latest/_modules/langchain/agents/mrkl/base.html |
ca2c90fa267d-1 | @property
def observation_prefix(self) -> str:
"""Prefix to append the observation with."""
return "Observation: "
@property
def llm_prefix(self) -> str:
"""Prefix to append the llm call with."""
return "Thought:"
[docs] @classmethod
def create_prompt(
cls,
... | https://python.langchain.com/en/latest/_modules/langchain/agents/mrkl/base.html |
ca2c90fa267d-2 | llm: BaseLanguageModel,
tools: Sequence[BaseTool],
callback_manager: Optional[BaseCallbackManager] = None,
output_parser: Optional[AgentOutputParser] = None,
prefix: str = PREFIX,
suffix: str = SUFFIX,
format_instructions: str = FORMAT_INSTRUCTIONS,
input_variable... | https://python.langchain.com/en/latest/_modules/langchain/agents/mrkl/base.html |
ca2c90fa267d-3 | Example:
.. code-block:: python
from langchain import OpenAI, MRKLChain
from langchain.chains.mrkl.base import ChainConfig
llm = OpenAI(temperature=0)
prompt = PromptTemplate(...)
chains = [...]
mrkl = MRKLChain.from_chains(llm=llm, prompt=... | https://python.langchain.com/en/latest/_modules/langchain/agents/mrkl/base.html |
ca2c90fa267d-4 | ]
mrkl = MRKLChain.from_chains(llm, chains)
"""
tools = [
Tool(
name=c.action_name,
func=c.action,
description=c.action_description,
)
for c in chains
]
agent = ZeroShotAgent.from_llm_and_... | https://python.langchain.com/en/latest/_modules/langchain/agents/mrkl/base.html |
78d554efa774-0 | Source code for langchain.agents.agent_toolkits.json.toolkit
"""Toolkit for interacting with a JSON spec."""
from __future__ import annotations
from typing import List
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.tools import BaseTool
from langchain.tools.json.tool import JsonGetValueTool... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/json/toolkit.html |
df013cb5d65a-0 | Source code for langchain.agents.agent_toolkits.json.base
"""Json agent."""
from typing import Any, Dict, List, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX
from langchain.agents.agent_toolkits.json.toolkit import JsonToolkit
... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/json/base.html |
df013cb5d65a-1 | return AgentExecutor.from_agent_and_tools(
agent=agent,
tools=tools,
callback_manager=callback_manager,
verbose=verbose,
**(agent_executor_kwargs or {}),
)
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/json/base.html |
e8a708718cf4-0 | Source code for langchain.agents.agent_toolkits.nla.toolkit
"""Toolkit for interacting with API's using natural language."""
from __future__ import annotations
from typing import Any, List, Optional, Sequence
from pydantic import Field
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.agents.a... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/nla/toolkit.html |
e8a708718cf4-1 | **kwargs,
)
http_operation_tools.append(endpoint_tool)
return http_operation_tools
[docs] @classmethod
def from_llm_and_spec(
cls,
llm: BaseLLM,
spec: OpenAPISpec,
requests: Optional[Requests] = None,
verbose: bool = False,
*... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/nla/toolkit.html |
e8a708718cf4-2 | spec = OpenAPISpec.from_url(ai_plugin.api.url)
# TODO: Merge optional Auth information with the `requests` argument
return cls.from_llm_and_spec(
llm=llm,
spec=spec,
requests=requests,
verbose=verbose,
**kwargs,
)
[docs] @classmethod... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/nla/toolkit.html |
57a1cdf01586-0 | Source code for langchain.agents.agent_toolkits.playwright.toolkit
"""Playwright web browser toolkit."""
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional, Type, cast
from pydantic import Extra, root_validator
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/playwright/toolkit.html |
57a1cdf01586-1 | """Check that the arguments are valid."""
lazy_import_playwright_browsers()
if values.get("async_browser") is None and values.get("sync_browser") is None:
raise ValueError("Either async_browser or sync_browser must be specified.")
return values
[docs] def get_tools(self) -> List[B... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/playwright/toolkit.html |
032612829cad-0 | Source code for langchain.agents.agent_toolkits.zapier.toolkit
"""Zapier Toolkit."""
from typing import List
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.tools import BaseTool
from langchain.tools.zapier.tool import ZapierNLARunAction
from langchain.utilities.zapier import ZapierNLAWrappe... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/zapier/toolkit.html |
027623cf64c1-0 | Source code for langchain.agents.agent_toolkits.file_management.toolkit
"""Toolkit for interacting with the local filesystem."""
from __future__ import annotations
from typing import List, Optional
from pydantic import root_validator
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.tools impo... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/file_management/toolkit.html |
027623cf64c1-1 | )
return values
[docs] def get_tools(self) -> List[BaseTool]:
"""Get the tools in the toolkit."""
allowed_tools = self.selected_tools or _FILE_TOOLS.keys()
tools: List[BaseTool] = []
for tool in allowed_tools:
tool_cls = _FILE_TOOLS[tool]
tools.append(t... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/file_management/toolkit.html |
4350b6220e3e-0 | Source code for langchain.agents.agent_toolkits.openapi.toolkit
"""Requests toolkit."""
from __future__ import annotations
from typing import Any, List
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.agents.agent_toolkits.json.base import crea... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/openapi/toolkit.html |
4350b6220e3e-1 | func=self.json_agent.run,
description=DESCRIPTION,
)
request_toolkit = RequestsToolkit(requests_wrapper=self.requests_wrapper)
return [*request_toolkit.get_tools(), json_agent_tool]
[docs] @classmethod
def from_llm(
cls,
llm: BaseLLM,
json_spec: JsonSpe... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/openapi/toolkit.html |
2466fab07445-0 | Source code for langchain.agents.agent_toolkits.openapi.base
"""OpenAPI spec agent."""
from typing import Any, Dict, List, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.openapi.prompt import (
OPENAPI_PREFIX,
OPENAPI_SUFFIX,
)
from langchain.agents.agent_toolkits... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/openapi/base.html |
2466fab07445-1 | input_variables=input_variables,
)
llm_chain = LLMChain(
llm=llm,
prompt=prompt,
callback_manager=callback_manager,
)
tool_names = [tool.name for tool in tools]
agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs)
return AgentExecutor.from_agent_... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/openapi/base.html |
3d7ecd6370fa-0 | Source code for langchain.agents.agent_toolkits.sql.toolkit
"""Toolkit for interacting with a SQL database."""
from typing import List
from pydantic import Field
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.base_language import BaseLanguageModel
from langchain.sql_database import SQLDatab... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/sql/toolkit.html |
2bda85ca7fc6-0 | Source code for langchain.agents.agent_toolkits.sql.base
"""SQL agent."""
from typing import Any, Dict, List, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.sql.prompt import SQL_PREFIX, SQL_SUFFIX
from langchain.agents.agent_toolkits.sql.toolkit import SQLDatabaseToolkit... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/sql/base.html |
2bda85ca7fc6-1 | input_variables=input_variables,
)
llm_chain = LLMChain(
llm=llm,
prompt=prompt,
callback_manager=callback_manager,
)
tool_names = [tool.name for tool in tools]
agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs)
return AgentExecutor.from_agent_... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/sql/base.html |
7eb564594908-0 | Source code for langchain.agents.agent_toolkits.pandas.base
"""Agent for working with pandas objects."""
from typing import Any, Dict, List, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.pandas.prompt import PREFIX, SUFFIX
from langchain.agents.mrkl.base import ZeroShotA... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/pandas/base.html |
7eb564594908-1 | tools = [PythonAstREPLTool(locals={"df": df})]
prompt = ZeroShotAgent.create_prompt(
tools, prefix=prefix, suffix=suffix, input_variables=input_variables
)
partial_prompt = prompt.partial(df=str(df.head().to_markdown()))
llm_chain = LLMChain(
llm=llm,
prompt=partial_prompt,
... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/pandas/base.html |
7fa42d60cf47-0 | Source code for langchain.agents.agent_toolkits.python.base
"""Python agent."""
from typing import Any, Dict, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.python.prompt import PREFIX
from langchain.agents.mrkl.base import ZeroShotAgent
from langchain.callbacks.base impo... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/python/base.html |
e9c5a5846436-0 | Source code for langchain.agents.agent_toolkits.powerbi.chat_base
"""Power BI agent."""
from typing import Any, Dict, List, Optional
from langchain.agents import AgentExecutor
from langchain.agents.agent import AgentOutputParser
from langchain.agents.agent_toolkits.powerbi.prompt import (
POWERBI_CHAT_PREFIX,
P... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/powerbi/chat_base.html |
e9c5a5846436-1 | """
if toolkit is None:
if powerbi is None:
raise ValueError("Must provide either a toolkit or powerbi dataset")
toolkit = PowerBIToolkit(powerbi=powerbi, llm=llm, examples=examples)
tools = toolkit.get_tools()
agent = ConversationalChatAgent.from_llm_and_tools(
llm=llm,
... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/powerbi/chat_base.html |
d07cbee99b0b-0 | Source code for langchain.agents.agent_toolkits.powerbi.toolkit
"""Toolkit for interacting with a Power BI dataset."""
from typing import List, Optional
from pydantic import Field
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/powerbi/toolkit.html |
d07cbee99b0b-1 | prompt=PromptTemplate(
template=QUESTION_TO_QUERY,
input_variables=["tool_input", "tables", "schemas", "examples"],
),
)
return [
QueryPowerBITool(powerbi=self.powerbi),
InfoPowerBITool(powerbi=self.powerbi),
... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/powerbi/toolkit.html |
36b2773a288c-0 | Source code for langchain.agents.agent_toolkits.powerbi.base
"""Power BI agent."""
from typing import Any, Dict, List, Optional
from langchain.agents import AgentExecutor
from langchain.agents.agent_toolkits.powerbi.prompt import (
POWERBI_PREFIX,
POWERBI_SUFFIX,
)
from langchain.agents.agent_toolkits.powerbi.t... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/powerbi/base.html |
36b2773a288c-1 | tools = toolkit.get_tools()
agent = ZeroShotAgent(
llm_chain=LLMChain(
llm=llm,
prompt=ZeroShotAgent.create_prompt(
tools,
prefix=prefix.format(top_k=top_k),
suffix=suffix,
format_instructions=format_instructions,
... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/powerbi/base.html |
ab3f0ba93b79-0 | Source code for langchain.agents.agent_toolkits.jira.toolkit
"""Jira Toolkit."""
from typing import List
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.tools import BaseTool
from langchain.tools.jira.tool import JiraAction
from langchain.utilities.jira import JiraAPIWrapper
[docs]class Jira... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/jira/toolkit.html |
7ce439eacec4-0 | Source code for langchain.agents.agent_toolkits.csv.base
"""Agent for working with csvs."""
from typing import Any, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.pandas.base import create_pandas_dataframe_agent
from langchain.llms.base import BaseLLM
[docs]def create_csv... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/csv/base.html |
c5ba8019db80-0 | Source code for langchain.agents.agent_toolkits.vectorstore.toolkit
"""Toolkit for interacting with a vector store."""
from typing import List
from pydantic import BaseModel, Field
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.base_language import BaseLanguageModel
from langchain.llms.open... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/vectorstore/toolkit.html |
c5ba8019db80-1 | self.vectorstore_info.name, self.vectorstore_info.description
)
qa_with_sources_tool = VectorStoreQAWithSourcesTool(
name=f"{self.vectorstore_info.name}_with_sources",
description=description,
vectorstore=self.vectorstore_info.vectorstore,
llm=self.llm,
... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/vectorstore/toolkit.html |
06c16bb69227-0 | Source code for langchain.agents.agent_toolkits.vectorstore.base
"""VectorStore agent."""
from typing import Any, Dict, Optional
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.vectorstore.prompt import PREFIX, ROUTER_PREFIX
from langchain.agents.agent_toolkits.vectorstore.toolkit ... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/vectorstore/base.html |
06c16bb69227-1 | )
[docs]def create_vectorstore_router_agent(
llm: BaseLLM,
toolkit: VectorStoreRouterToolkit,
callback_manager: Optional[BaseCallbackManager] = None,
prefix: str = ROUTER_PREFIX,
verbose: bool = False,
agent_executor_kwargs: Optional[Dict[str, Any]] = None,
**kwargs: Dict[str, Any],
) -> Age... | https://python.langchain.com/en/latest/_modules/langchain/agents/agent_toolkits/vectorstore/base.html |
6941a515c213-0 | Source code for langchain.agents.structured_chat.base
import re
from typing import Any, List, Optional, Sequence, Tuple
from pydantic import Field
from langchain.agents.agent import Agent, AgentOutputParser
from langchain.agents.structured_chat.output_parser import (
StructuredChatOutputParser,
StructuredChatOu... | https://python.langchain.com/en/latest/_modules/langchain/agents/structured_chat/base.html |
6941a515c213-1 | f"(but I haven't seen any of it! I only see what "
f"you return as final answer):\n{agent_scratchpad}"
)
else:
return agent_scratchpad
@classmethod
def _validate_tools(cls, tools: Sequence[BaseTool]) -> None:
pass
@classmethod
def _get_default_outp... | https://python.langchain.com/en/latest/_modules/langchain/agents/structured_chat/base.html |
6941a515c213-2 | ]
if input_variables is None:
input_variables = ["input", "agent_scratchpad"]
return ChatPromptTemplate(input_variables=input_variables, messages=messages)
[docs] @classmethod
def from_llm_and_tools(
cls,
llm: BaseLanguageModel,
tools: Sequence[BaseTool],
... | https://python.langchain.com/en/latest/_modules/langchain/agents/structured_chat/base.html |
0bcfeeb4e9ca-0 | Source code for langchain.tools.ifttt
"""From https://github.com/SidU/teams-langchain-js/wiki/Connecting-IFTTT-Services.
# Creating a webhook
- Go to https://ifttt.com/create
# Configuring the "If This"
- Click on the "If This" button in the IFTTT interface.
- Search for "Webhooks" in the search bar.
- Choose the first... | https://python.langchain.com/en/latest/_modules/langchain/tools/ifttt.html |
0bcfeeb4e9ca-1 | - To get your webhook URL go to https://ifttt.com/maker_webhooks/settings
- Copy the IFTTT key value from there. The URL is of the form
https://maker.ifttt.com/use/YOUR_IFTTT_KEY. Grab the YOUR_IFTTT_KEY value.
"""
from typing import Optional
import requests
from langchain.callbacks.manager import (
AsyncCallbackMa... | https://python.langchain.com/en/latest/_modules/langchain/tools/ifttt.html |
0d829dfac05e-0 | Source code for langchain.tools.base
"""Base implementation for tools or skills."""
from __future__ import annotations
import warnings
from abc import ABC, abstractmethod
from functools import partial
from inspect import signature
from typing import Any, Awaitable, Callable, Dict, Optional, Tuple, Type, Union
from pyda... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-1 | typehint_mandate = """
class ChildTool(BaseTool):
...
args_schema: Type[BaseModel] = SchemaClass
..."""
raise SchemaAnnotationError(
f"Tool definition for {name} must include valid type annotations"
f" for argument 'args_schema' to behave as expected.\... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-2 | arbitrary_types_allowed = True
def create_schema_from_function(
model_name: str,
func: Callable,
) -> Type[BaseModel]:
"""Create a pydantic schema from a function's signature."""
validated = validate_arguments(func, config=_SchemaConfig) # type: ignore
inferred_model = validated.model # type: igno... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-3 | """Deprecated. Please use callbacks instead."""
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
arbitrary_types_allowed = True
@property
def is_single_input(self) -> bool:
"""Whether the tool only accepts a single input."""
return len(... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-4 | Add run_manager: Optional[CallbackManagerForToolRun] = None
to child implementations to enable tracing,
"""
@abstractmethod
async def _arun(
self,
*args: Any,
**kwargs: Any,
) -> Any:
"""Use the tool asynchronously.
Add run_manager: Optional[AsyncCallb... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-5 | tool_input if isinstance(tool_input, str) else str(tool_input),
color=start_color,
**kwargs,
)
try:
tool_args, tool_kwargs = self._to_args_and_kwargs(tool_input)
observation = (
self._run(*tool_args, run_manager=run_manager, **tool_kwargs)
... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-6 | try:
# We then call the tool on the tool input to get an observation
tool_args, tool_kwargs = self._to_args_and_kwargs(tool_input)
observation = (
await self._arun(*tool_args, run_manager=run_manager, **tool_kwargs)
if new_arg_supported
... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-7 | # assume it takes a single string input.
return {"tool_input": {"type": "string"}}
def _to_args_and_kwargs(self, tool_input: Union[str, Dict]) -> Tuple[Tuple, Dict]:
"""Convert tool input to pydantic model."""
args, kwargs = super()._to_args_and_kwargs(tool_input)
# For backwards com... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-8 | *args,
callbacks=run_manager.get_child() if run_manager else None,
**kwargs,
)
if new_argument_supported
else await self.coroutine(*args, **kwargs)
)
raise NotImplementedError("Tool does not support async")
#... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-9 | @property
def args(self) -> dict:
"""The tool's input arguments."""
return self.args_schema.schema()["properties"]
def _run(
self,
*args: Any,
run_manager: Optional[CallbackManagerForToolRun] = None,
**kwargs: Any,
) -> Any:
"""Use the tool."""
... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-10 | infer_schema: bool = True,
**kwargs: Any,
) -> StructuredTool:
name = name or func.__name__
description = description or func.__doc__
assert (
description is not None
), "Function must have a docstring if description not provided."
# Description example:
... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-11 | Examples:
.. code-block:: python
@tool
def search_api(query: str) -> str:
# Searches the API for the query.
return
@tool("search", return_direct=True)
def search_api(query: str) -> str:
# Searches the API for the que... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
0d829dfac05e-12 | elif len(args) == 0:
# if there are no arguments, then we use the function name as the tool name
# Example usage: @tool(return_direct=True)
def _partial(func: Callable[[str], str]) -> BaseTool:
return _make_with_name(func.__name__)(func)
return _partial
else:
rais... | https://python.langchain.com/en/latest/_modules/langchain/tools/base.html |
440578b714ac-0 | Source code for langchain.tools.plugin
from __future__ import annotations
import json
from typing import Optional, Type
import requests
import yaml
from pydantic import BaseModel
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base impo... | https://python.langchain.com/en/latest/_modules/langchain/tools/plugin.html |
440578b714ac-1 | plugin = AIPlugin.from_url(url)
description = (
f"Call this tool to get the OpenAPI spec (and usage guide) "
f"for interacting with the {plugin.name_for_human} API. "
f"You should only call this ONCE! What is the "
f"{plugin.name_for_human} API useful for? "
... | https://python.langchain.com/en/latest/_modules/langchain/tools/plugin.html |
f78a28a84b4f-0 | Source code for langchain.tools.playwright.navigate
from __future__ import annotations
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.playwright.base import BaseBr... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate.html |
f78a28a84b4f-1 | response = await page.goto(url)
status = response.status if response else "unknown"
return f"Navigating to {url} returned status code {status}"
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate.html |
f1ab11d37949-0 | Source code for langchain.tools.playwright.current_page
from __future__ import annotations
from typing import Optional, Type
from pydantic import BaseModel
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.playwright.base import BaseBrows... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/current_page.html |
93cad7dec4b7-0 | Source code for langchain.tools.playwright.navigate_back
from __future__ import annotations
from typing import Optional, Type
from pydantic import BaseModel
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.playwright.base import BaseBrow... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate_back.html |
93cad7dec4b7-1 | 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"
By Harri... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/navigate_back.html |
b5166bac4b08-0 | Source code for langchain.tools.playwright.extract_hyperlinks
from __future__ import annotations
import json
from typing import TYPE_CHECKING, Any, Optional, Type
from pydantic import BaseModel, Field, root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToo... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_hyperlinks.html |
b5166bac4b08-1 | # 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:
links = [anchor.get("href", "") for anchor in an... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_hyperlinks.html |
053e47b9030f-0 | Source code for langchain.tools.playwright.click
from __future__ import annotations
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.playwright.base import BaseBrows... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/click.html |
053e47b9030f-1 | # Navigate to the desired webpage before using this tool
await page.click(selector)
return f"Clicked element '{selector}'"
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/click.html |
6eddd24cccff-0 | Source code for langchain.tools.playwright.extract_text
from __future__ import annotations
from typing import Optional, Type
from pydantic import BaseModel, root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.playwright.base ... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_text.html |
6eddd24cccff-1 | 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 through the elements
f... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/extract_text.html |
0df32c1f6227-0 | Source code for langchain.tools.playwright.get_elements
from __future__ import annotations
import json
from typing import TYPE_CHECKING, List, Optional, Sequence, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
fro... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html |
0df32c1f6227-1 | ) -> 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":
val: Optional[str] = element.inner_tex... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html |
0df32c1f6227-2 | 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_elements(page, selector, attributes)
return json.dumps(results)
By Harrison Chase
... | https://python.langchain.com/en/latest/_modules/langchain/tools/playwright/get_elements.html |
f5ba15f22c83-0 | Source code for langchain.tools.zapier.tool
"""## Zapier Natural Language Actions API
\
Full docs here: https://nla.zapier.com/api/v1/docs
**Zapier Natural Language Actions** gives you access to the 5k+ apps, 20k+ actions
on Zapier's platform through a natural language API interface.
NLA supports apps like Gmail, Sales... | https://python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
f5ba15f22c83-1 | 2. Use LLMChain to generate a draft reply to (1)
3. Use NLA to send the draft reply (2) to someone in Slack via direct message
In code, below:
```python
import os
# get from https://platform.openai.com/
os.environ["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY", "")
# get from https://nla.zapier.com/demo/provid... | https://python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
f5ba15f22c83-2 | agent = initialize_agent(
toolkit.get_tools(),
llm,
agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
verbose=True
)
agent.run(("Summarize the last email I received regarding Silicon Valley Bank. "
"Send the summary to the #test-zapier channel in slack."))
```
"""
from typing import Any, Dict, Optional
f... | https://python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
f5ba15f22c83-3 | name = ""
description = ""
@root_validator
def set_name_description(cls, values: Dict[str, Any]) -> Dict[str, Any]:
zapier_description = values["zapier_description"]
params_schema = values["params_schema"]
if "instructions" in params_schema:
del params_schema["instruction... | https://python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
f5ba15f22c83-4 | "This tool returns a list of the user's exposed actions."
)
api_wrapper: ZapierNLAWrapper = Field(default_factory=ZapierNLAWrapper)
def _run(
self,
_: str = "",
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the Zapier NLA tool to return a list ... | https://python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
9e41705e07a8-0 | Source code for langchain.tools.google_search.tool
"""Tool for the Google search API."""
from typing import Optional
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.utilities.google_search import Goog... | https://python.langchain.com/en/latest/_modules/langchain/tools/google_search/tool.html |
9e41705e07a8-1 | api_wrapper: GoogleSearchAPIWrapper
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the tool."""
return str(self.api_wrapper.results(query, self.num_results))
async def _arun(
self,
query: str,
... | https://python.langchain.com/en/latest/_modules/langchain/tools/google_search/tool.html |
9f896549fca7-0 | Source code for langchain.tools.file_management.file_search
import fnmatch
import os
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langc... | https://python.langchain.com/en/latest/_modules/langchain/tools/file_management/file_search.html |
9f896549fca7-1 | 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:
return "Error: " + str(e)
async def _arun(
self,
dir_pat... | https://python.langchain.com/en/latest/_modules/langchain/tools/file_management/file_search.html |
af10e50c8182-0 | Source code for langchain.tools.file_management.write
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_management.util... | https://python.langchain.com/en/latest/_modules/langchain/tools/file_management/write.html |
af10e50c8182-1 | except Exception as e:
return "Error: " + str(e)
async def _arun(
self,
file_path: str,
text: str,
append: bool = False,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
# TODO: Add aiofiles method
raise NotImplementedErr... | https://python.langchain.com/en/latest/_modules/langchain/tools/file_management/write.html |
5842a2182418-0 | Source code for langchain.tools.file_management.copy
import shutil
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_ma... | https://python.langchain.com/en/latest/_modules/langchain/tools/file_management/copy.html |
5842a2182418-1 | except Exception as e:
return "Error: " + str(e)
async def _arun(
self,
source_path: str,
destination_path: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
# TODO: Add aiofiles method
raise NotImplementedError
By Harrison C... | https://python.langchain.com/en/latest/_modules/langchain/tools/file_management/copy.html |
b662a6dfc464-0 | Source code for langchain.tools.file_management.list_dir
import os
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_ma... | https://python.langchain.com/en/latest/_modules/langchain/tools/file_management/list_dir.html |
b662a6dfc464-1 | raise NotImplementedError
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 02, 2023. | https://python.langchain.com/en/latest/_modules/langchain/tools/file_management/list_dir.html |
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