Spaces:
Runtime error
Runtime error
File size: 2,738 Bytes
fdb9357 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"from typing import Any, Dict\n",
"\n",
"from langchain.agents import AgentType, initialize_agent\n",
"from langchain.llms import OpenAI\n",
"from langchain.tools.requests.tool import RequestsGetTool, TextRequestsWrapper\n",
"from pydantic import BaseModel, Field, root_validator"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"llm = OpenAI(temperature=0)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"import tldextract\n",
"\n",
"_APPROVED_DOMAINS = {\n",
" \"langchain\",\n",
" \"wikipedia\",\n",
"}\n",
"\n",
"class ToolInputSchema(BaseModel):\n",
"\n",
" url: str = Field(...)\n",
" \n",
" @root_validator\n",
" def validate_query(cls, values: Dict[str, Any]) -> Dict:\n",
" url = values[\"url\"]\n",
" domain = tldextract.extract(url).domain\n",
" if domain not in _APPROVED_DOMAINS:\n",
" raise ValueError(f\"Domain {domain} is not on the approved list:\"\n",
" f\" {sorted(_APPROVED_DOMAINS)}\")\n",
" return values\n",
" \n",
"tool = RequestsGetTool(args_schema=ToolInputSchema, requests_wrapper=TextRequestsWrapper())\n",
"# tool = RequestsGetTool( requests_wrapper=TextRequestsWrapper())"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"agent = initialize_agent([tool], llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=False)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The main title on langchain.com is \"LANG CHAIN 🦜️🔗 Official Home Page\".\n"
]
}
],
"source": [
"# This will succeed, since there aren't any arguments that will be triggered during validation\n",
"answer = agent.run(\"What's the main title on langchain.com?\")\n",
"print(answer)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.10"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
|