forked from Archives/langchain
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
127 lines
4.0 KiB
Python
127 lines
4.0 KiB
Python
"""Implement an LLM driven browser."""
|
|
from __future__ import annotations
|
|
|
|
import warnings
|
|
from typing import Any, Dict, List, Optional
|
|
|
|
from pydantic import Extra, root_validator
|
|
|
|
from langchain.callbacks.manager import CallbackManagerForChainRun
|
|
from langchain.chains.base import Chain
|
|
from langchain.chains.llm import LLMChain
|
|
from langchain.chains.natbot.prompt import PROMPT
|
|
from langchain.llms.base import BaseLLM
|
|
from langchain.llms.openai import OpenAI
|
|
|
|
|
|
class NatBotChain(Chain):
|
|
"""Implement an LLM driven browser.
|
|
|
|
Example:
|
|
.. code-block:: python
|
|
|
|
from langchain import NatBotChain
|
|
natbot = NatBotChain.from_default("Buy me a new hat.")
|
|
"""
|
|
|
|
llm_chain: LLMChain
|
|
objective: str
|
|
"""Objective that NatBot is tasked with completing."""
|
|
llm: Optional[BaseLLM] = None
|
|
"""[Deprecated] LLM wrapper to use."""
|
|
input_url_key: str = "url" #: :meta private:
|
|
input_browser_content_key: str = "browser_content" #: :meta private:
|
|
previous_command: str = "" #: :meta private:
|
|
output_key: str = "command" #: :meta private:
|
|
|
|
class Config:
|
|
"""Configuration for this pydantic object."""
|
|
|
|
extra = Extra.forbid
|
|
arbitrary_types_allowed = True
|
|
|
|
@root_validator(pre=True)
|
|
def raise_deprecation(cls, values: Dict) -> Dict:
|
|
if "llm" in values:
|
|
warnings.warn(
|
|
"Directly instantiating an NatBotChain with an llm is deprecated. "
|
|
"Please instantiate with llm_chain argument or using the from_llm "
|
|
"class method."
|
|
)
|
|
if "llm_chain" not in values and values["llm"] is not None:
|
|
values["llm_chain"] = LLMChain(llm=values["llm"], prompt=PROMPT)
|
|
return values
|
|
|
|
@classmethod
|
|
def from_default(cls, objective: str, **kwargs: Any) -> NatBotChain:
|
|
"""Load with default LLMChain."""
|
|
llm = OpenAI(temperature=0.5, best_of=10, n=3, max_tokens=50)
|
|
return cls.from_llm(llm, objective, **kwargs)
|
|
|
|
@classmethod
|
|
def from_llm(cls, llm: BaseLLM, objective: str, **kwargs: Any) -> NatBotChain:
|
|
"""Load from LLM."""
|
|
llm_chain = LLMChain(llm=llm, prompt=PROMPT)
|
|
return cls(llm_chain=llm_chain, objective=objective, **kwargs)
|
|
|
|
@property
|
|
def input_keys(self) -> List[str]:
|
|
"""Expect url and browser content.
|
|
|
|
:meta private:
|
|
"""
|
|
return [self.input_url_key, self.input_browser_content_key]
|
|
|
|
@property
|
|
def output_keys(self) -> List[str]:
|
|
"""Return command.
|
|
|
|
:meta private:
|
|
"""
|
|
return [self.output_key]
|
|
|
|
def _call(
|
|
self,
|
|
inputs: Dict[str, str],
|
|
run_manager: Optional[CallbackManagerForChainRun] = None,
|
|
) -> Dict[str, str]:
|
|
_run_manager = run_manager or CallbackManagerForChainRun.get_noop_manager()
|
|
url = inputs[self.input_url_key]
|
|
browser_content = inputs[self.input_browser_content_key]
|
|
llm_cmd = self.llm_chain.predict(
|
|
objective=self.objective,
|
|
url=url[:100],
|
|
previous_command=self.previous_command,
|
|
browser_content=browser_content[:4500],
|
|
callbacks=_run_manager.get_child(),
|
|
)
|
|
llm_cmd = llm_cmd.strip()
|
|
self.previous_command = llm_cmd
|
|
return {self.output_key: llm_cmd}
|
|
|
|
def execute(self, url: str, browser_content: str) -> str:
|
|
"""Figure out next browser command to run.
|
|
|
|
Args:
|
|
url: URL of the site currently on.
|
|
browser_content: Content of the page as currently displayed by the browser.
|
|
|
|
Returns:
|
|
Next browser command to run.
|
|
|
|
Example:
|
|
.. code-block:: python
|
|
|
|
browser_content = "...."
|
|
llm_command = natbot.run("www.google.com", browser_content)
|
|
"""
|
|
_inputs = {
|
|
self.input_url_key: url,
|
|
self.input_browser_content_key: browser_content,
|
|
}
|
|
return self(_inputs)[self.output_key]
|
|
|
|
@property
|
|
def _chain_type(self) -> str:
|
|
return "nat_bot_chain"
|