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"cells": [
{
"cell_type": "markdown",
"id": "dfd51b3d",
"metadata": {},
"source": [
"# Inizializzazione e Fetch Domande"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "660cfadd",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>task_id</th>\n",
" <th>question</th>\n",
" <th>Level</th>\n",
" <th>file_name</th>\n",
" <th>Question</th>\n",
" <th>Final answer</th>\n",
" <th>file_path</th>\n",
" <th>Annotator Metadata</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>5</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>5</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>unique</th>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>20</td>\n",
" <td>19</td>\n",
" <td>5</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>top</th>\n",
" <td>8e867cd7-cff9-4e6c-867a-ff5ddc2550be</td>\n",
" <td>How many studio albums were published by Merce...</td>\n",
" <td>1</td>\n",
" <td>cca530fc-4052-43b2-b130-b30968d8aa44.png</td>\n",
" <td>How many studio albums were published by Merce...</td>\n",
" <td>3</td>\n",
" <td>2023/validation/cca530fc-4052-43b2-b130-b30968...</td>\n",
" <td>{'Steps': '1. I did a search for Mercedes Sosa...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>freq</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" task_id \\\n",
"count 20 \n",
"unique 20 \n",
"top 8e867cd7-cff9-4e6c-867a-ff5ddc2550be \n",
"freq 1 \n",
"\n",
" question Level \\\n",
"count 20 20 \n",
"unique 20 1 \n",
"top How many studio albums were published by Merce... 1 \n",
"freq 1 20 \n",
"\n",
" file_name \\\n",
"count 5 \n",
"unique 5 \n",
"top cca530fc-4052-43b2-b130-b30968d8aa44.png \n",
"freq 1 \n",
"\n",
" Question Final answer \\\n",
"count 20 20 \n",
"unique 20 19 \n",
"top How many studio albums were published by Merce... 3 \n",
"freq 1 2 \n",
"\n",
" file_path \\\n",
"count 5 \n",
"unique 5 \n",
"top 2023/validation/cca530fc-4052-43b2-b130-b30968... \n",
"freq 1 \n",
"\n",
" Annotator Metadata \n",
"count 20 \n",
"unique 20 \n",
"top {'Steps': '1. I did a search for Mercedes Sosa... \n",
"freq 1 "
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from src.connectors import fetch_questions\n",
"from datasets import load_dataset\n",
"from pathlib import Path\n",
"from pandas import read_csv\n",
"\n",
"DEFAULT_API_URL = \"https://agents-course-unit4-scoring.hf.space\"\n",
"QUESTIONS_URL = f\"{DEFAULT_API_URL}/questions\"\n",
"SUBMIT_URL = f\"{DEFAULT_API_URL}/submit\"\n",
"CSV_PATH = Path(\"assets\", \"questions.csv\")\n",
"\n",
"MODELID = [\"qwen3:8b\", \"nemotron-3-nano:4b\"][0]\n",
"\n",
"if not CSV_PATH.exists():\n",
" CSV_PATH.parent.mkdir(exist_ok=True)\n",
" questions = fetch_questions(QUESTIONS_URL)\n",
" dataset = load_dataset(\"gaia-benchmark/GAIA\", \"2023_level1\")[\"validation\"].to_pandas()\n",
"\n",
" questiondf = questions.merge(right=dataset, how=\"left\", on=\"task_id\").drop(columns=[\"Level_y\", \"file_name_y\"]).rename(columns={\n",
" \"Level_x\": \"Level\", \"file_name_x\": \"file_name\"\n",
" })\n",
" questiondf.to_csv(CSV_PATH)\n",
"else:\n",
" questiondf = read_csv(CSV_PATH, header=0, index_col=0, dtype=str)\n",
"\n",
"questiondf.describe()"
]
},
{
"cell_type": "markdown",
"id": "99632633",
"metadata": {},
"source": [
"# Execution"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "ecaac75d",
"metadata": {},
"outputs": [],
"source": [
"from src import agent\n",
"\n",
"assistant = agent.ReActAgent(MODELID, verbose=True)"
]
},
{
"cell_type": "markdown",
"id": "9353aaa3",
"metadata": {},
"source": [
"## Single Test"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "f81f13ca",
"metadata": {},
"outputs": [
{
"ename": "KeyError",
"evalue": "'reasoning_content'",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mKeyError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 7\u001b[39m\n\u001b[32m 4\u001b[39m tid, problem, answer = (questiondf.iloc[rq][\u001b[33m\"\u001b[39m\u001b[33mtask_id\u001b[39m\u001b[33m\"\u001b[39m], questiondf.iloc[rq][\u001b[33m\"\u001b[39m\u001b[33mquestion\u001b[39m\u001b[33m\"\u001b[39m], questiondf.iloc[rq][\u001b[33m\"\u001b[39m\u001b[33mFinal answer\u001b[39m\u001b[33m\"\u001b[39m])\n\u001b[32m 6\u001b[39m \u001b[38;5;28minput\u001b[39m = {\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m: [{\u001b[33m'\u001b[39m\u001b[33mrole\u001b[39m\u001b[33m'\u001b[39m: \u001b[33m'\u001b[39m\u001b[33muser\u001b[39m\u001b[33m'\u001b[39m, \u001b[33m'\u001b[39m\u001b[33mcontent\u001b[39m\u001b[33m'\u001b[39m: problem}]}\n\u001b[32m----> \u001b[39m\u001b[32m7\u001b[39m response = \u001b[43massistant\u001b[49m\u001b[43m(\u001b[49m\u001b[43mproblem\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 8\u001b[39m \u001b[38;5;28mprint\u001b[39m(response)\n\u001b[32m 9\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m response[\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m][-\u001b[32m1\u001b[39m].content == answer, \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mWrong Answer, original was \u001b[39m\u001b[38;5;132;01m{\u001b[39;00manswer\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m; Provided is \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresponse[\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m][-\u001b[32m1\u001b[39m].content\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\src\\agent.py:41\u001b[39m, in \u001b[36mReActAgent.__call__\u001b[39m\u001b[34m(self, query)\u001b[39m\n\u001b[32m---> \u001b[39m\u001b[32m41\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, query: \u001b[38;5;28mstr\u001b[39m): \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mworkflow\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m 42\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m{\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mrole\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43msystem\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mREASON\u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mrole\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43muser\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m}\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 43\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mniter\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m0\u001b[39;49m\n\u001b[32m 44\u001b[39m \u001b[43m\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\pregel\\main.py:3292\u001b[39m, in \u001b[36mPregel.invoke\u001b[39m\u001b[34m(self, input, config, context, stream_mode, print_mode, output_keys, interrupt_before, interrupt_after, durability, version, **kwargs)\u001b[39m\n\u001b[32m 3289\u001b[39m chunks.append(chunk)\n\u001b[32m 3290\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 3291\u001b[39m \u001b[38;5;66;03m# v1: collect interrupts from updates stream\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m3292\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 3293\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 3294\u001b[39m \u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3295\u001b[39m \u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcontext\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3296\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m=\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 3297\u001b[39m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mupdates\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mvalues\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m \u001b[49m\u001b[43m==\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mvalues\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\n\u001b[32m 3298\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3299\u001b[39m \u001b[43m \u001b[49m\u001b[43mprint_mode\u001b[49m\u001b[43m=\u001b[49m\u001b[43mprint_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3300\u001b[39m \u001b[43m \u001b[49m\u001b[43moutput_keys\u001b[49m\u001b[43m=\u001b[49m\u001b[43moutput_keys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3301\u001b[39m \u001b[43m \u001b[49m\u001b[43minterrupt_before\u001b[49m\u001b[43m=\u001b[49m\u001b[43minterrupt_before\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3302\u001b[39m \u001b[43m \u001b[49m\u001b[43minterrupt_after\u001b[49m\u001b[43m=\u001b[49m\u001b[43minterrupt_after\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3303\u001b[39m \u001b[43m \u001b[49m\u001b[43mdurability\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdurability\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3304\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3305\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 3306\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m \u001b[49m\u001b[43m==\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mvalues\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\n\u001b[32m 3307\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[43m==\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m2\u001b[39;49m\u001b[43m:\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\pregel\\main.py:2725\u001b[39m, in \u001b[36mPregel.stream\u001b[39m\u001b[34m(self, input, config, context, stream_mode, print_mode, output_keys, interrupt_before, interrupt_after, durability, subgraphs, debug, version, **kwargs)\u001b[39m\n\u001b[32m 2723\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m task \u001b[38;5;129;01min\u001b[39;00m loop.match_cached_writes():\n\u001b[32m 2724\u001b[39m loop.output_writes(task.id, task.writes, cached=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m-> \u001b[39m\u001b[32m2725\u001b[39m \u001b[43m\u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m_\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrunner\u001b[49m\u001b[43m.\u001b[49m\u001b[43mtick\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 2726\u001b[39m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mt\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mloop\u001b[49m\u001b[43m.\u001b[49m\u001b[43mtasks\u001b[49m\u001b[43m.\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwrites\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2727\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mstep_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2728\u001b[39m \u001b[43m \u001b[49m\u001b[43mget_waiter\u001b[49m\u001b[43m=\u001b[49m\u001b[43mget_waiter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2729\u001b[39m \u001b[43m \u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m=\u001b[49m\u001b[43mloop\u001b[49m\u001b[43m.\u001b[49m\u001b[43maccept_push\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2730\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 2731\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# emit output\u001b[39;49;00m\n\u001b[32m 2732\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01myield from\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m_output\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 2733\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2734\u001b[39m \u001b[43m \u001b[49m\u001b[43mprint_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m (...)\u001b[39m\u001b[32m 2740\u001b[39m \u001b[43m \u001b[49m\u001b[43m_state_mapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2741\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2742\u001b[39m loop.after_tick()\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\pregel\\_runner.py:167\u001b[39m, in \u001b[36mPregelRunner.tick\u001b[39m\u001b[34m(self, tasks, reraise, timeout, retry_policy, get_waiter, schedule_task)\u001b[39m\n\u001b[32m 165\u001b[39m t = tasks[\u001b[32m0\u001b[39m]\n\u001b[32m 166\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m167\u001b[39m \u001b[43mrun_with_retry\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 168\u001b[39m \u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 169\u001b[39m \u001b[43m \u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 170\u001b[39m \u001b[43m \u001b[49m\u001b[43mconfigurable\u001b[49m\u001b[43m=\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m 171\u001b[39m \u001b[43m \u001b[49m\u001b[43mCONFIG_KEY_CALL\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mpartial\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 172\u001b[39m \u001b[43m \u001b[49m\u001b[43m_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 173\u001b[39m \u001b[43m \u001b[49m\u001b[43mweakref\u001b[49m\u001b[43m.\u001b[49m\u001b[43mref\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 174\u001b[39m \u001b[43m \u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 175\u001b[39m \u001b[43m \u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m=\u001b[49m\u001b[43mweakref\u001b[49m\u001b[43m.\u001b[49m\u001b[43mref\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 176\u001b[39m \u001b[43m \u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m=\u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 177\u001b[39m \u001b[43m \u001b[49m\u001b[43msubmit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43msubmit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 178\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 179\u001b[39m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 180\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 181\u001b[39m \u001b[38;5;28mself\u001b[39m.commit(t, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m 182\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\pregel\\_retry.py:96\u001b[39m, in \u001b[36mrun_with_retry\u001b[39m\u001b[34m(task, retry_policy, configurable)\u001b[39m\n\u001b[32m 94\u001b[39m task.writes.clear()\n\u001b[32m 95\u001b[39m \u001b[38;5;66;03m# run the task\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m96\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtask\u001b[49m\u001b[43m.\u001b[49m\u001b[43mproc\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m.\u001b[49m\u001b[43minput\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 97\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ParentCommand \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m 98\u001b[39m ns: \u001b[38;5;28mstr\u001b[39m = config[CONF][CONFIG_KEY_CHECKPOINT_NS]\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\_internal\\_runnable.py:656\u001b[39m, in \u001b[36mRunnableSeq.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 654\u001b[39m \u001b[38;5;66;03m# run in context\u001b[39;00m\n\u001b[32m 655\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m set_config_context(config, run) \u001b[38;5;28;01mas\u001b[39;00m context:\n\u001b[32m--> \u001b[39m\u001b[32m656\u001b[39m \u001b[38;5;28minput\u001b[39m = \u001b[43mcontext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstep\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 657\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 658\u001b[39m \u001b[38;5;28minput\u001b[39m = step.invoke(\u001b[38;5;28minput\u001b[39m, config)\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\_internal\\_runnable.py:400\u001b[39m, in \u001b[36mRunnableCallable.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 398\u001b[39m run_manager.on_chain_end(ret)\n\u001b[32m 399\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m400\u001b[39m ret = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 401\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.recurse \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(ret, Runnable):\n\u001b[32m 402\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m ret.invoke(\u001b[38;5;28minput\u001b[39m, config)\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\src\\agent.py:49\u001b[39m, in \u001b[36mReActAgent.reason\u001b[39m\u001b[34m(self, state)\u001b[39m\n\u001b[32m 47\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mreason\u001b[39m(\u001b[38;5;28mself\u001b[39m, state: AgentSchema) -> AgentSchema: \n\u001b[32m 48\u001b[39m response = \u001b[38;5;28mself\u001b[39m.brain.invoke(state.get(\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m, []))\n\u001b[32m---> \u001b[39m\u001b[32m49\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.verbose: \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mReasoning:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00m\u001b[43mresponse\u001b[49m\u001b[43m.\u001b[49m\u001b[43madditional_kwargs\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mreasoning_content\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33mResponse:\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresponse.content\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m 50\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m {\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m: [response], \u001b[33m\"\u001b[39m\u001b[33mniter\u001b[39m\u001b[33m\"\u001b[39m: \u001b[38;5;28mint\u001b[39m(state.get(\u001b[33m\"\u001b[39m\u001b[33mniter\u001b[39m\u001b[33m\"\u001b[39m))+\u001b[32m1\u001b[39m}\n",
"\u001b[31mKeyError\u001b[39m: 'reasoning_content'",
"During task with name 'reason' and id '7448c52b-e3fc-ddda-b99a-1b3f7c08735a'"
]
}
],
"source": [
"import random as rng\n",
"rq = rng.randint(0, questiondf.shape[0]-1)\n",
"\n",
"tid, problem, answer = (questiondf.iloc[rq][\"task_id\"], questiondf.iloc[rq][\"question\"], questiondf.iloc[rq][\"Final answer\"])\n",
"\n",
"input = {\"messages\": [{'role': 'user', 'content': problem}]}\n",
"response = assistant(problem)\n",
"print(response)\n",
"assert response[\"messages\"][-1].content == answer, f\"Wrong Answer, original was {answer}; Provided is {response[\"messages\"][-1].content}\""
]
},
{
"cell_type": "markdown",
"id": "529dbdc5",
"metadata": {},
"source": [
"## Final Test"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bfab4ceb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Executing task 8e867cd7-cff9-4e6c-867a-ff5ddc2550be - Fail\n",
"Executing task a1e91b78-d3d8-4675-bb8d-62741b4b68a6 - Fail\n",
"Executing task 2d83110e-a098-4ebb-9987-066c06fa42d0 - Fail\n",
"Executing task cca530fc-4052-43b2-b130-b30968d8aa44 - Fail\n",
"Executing task 4fc2f1ae-8625-45b5-ab34-ad4433bc21f8 - Fail\n",
"Executing task 6f37996b-2ac7-44b0-8e68-6d28256631b4 - Fail\n",
"Executing task 9d191bce-651d-4746-be2d-7ef8ecadb9c2 - Fail\n",
"Executing task cabe07ed-9eca-40ea-8ead-410ef5e83f91 - "
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mKeyboardInterrupt\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[4]\u001b[39m\u001b[32m, line 7\u001b[39m\n\u001b[32m 5\u001b[39m tid, x, y_true = (row[\u001b[33m\"\u001b[39m\u001b[33mtask_id\u001b[39m\u001b[33m\"\u001b[39m], row[\u001b[33m\"\u001b[39m\u001b[33mquestion\u001b[39m\u001b[33m\"\u001b[39m], row[\u001b[33m\"\u001b[39m\u001b[33mFinal answer\u001b[39m\u001b[33m\"\u001b[39m])\n\u001b[32m 6\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mExecuting task \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtid\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m - \u001b[39m\u001b[33m\"\u001b[39m, end=\u001b[33m\"\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m----> \u001b[39m\u001b[32m7\u001b[39m y = \u001b[43massistant\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m[\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m][-\u001b[32m1\u001b[39m].content\n\u001b[32m 8\u001b[39m total+=\u001b[32m1\u001b[39m\n\u001b[32m 9\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m y == y_true: guessed.append(tid); \u001b[38;5;28mprint\u001b[39m(\u001b[33m\"\u001b[39m\u001b[33mSuccess\u001b[39m\u001b[33m\"\u001b[39m)\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\src\\agent.py:41\u001b[39m, in \u001b[36mReActAgent.__call__\u001b[39m\u001b[34m(self, query)\u001b[39m\n\u001b[32m---> \u001b[39m\u001b[32m41\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, query: \u001b[38;5;28mstr\u001b[39m): \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mworkflow\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m 42\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m{\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mrole\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43msystem\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mREASON\u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mrole\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43muser\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m}\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 43\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mniter\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m0\u001b[39;49m\n\u001b[32m 44\u001b[39m \u001b[43m\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\pregel\\main.py:3292\u001b[39m, in \u001b[36mPregel.invoke\u001b[39m\u001b[34m(self, input, config, context, stream_mode, print_mode, output_keys, interrupt_before, interrupt_after, durability, version, **kwargs)\u001b[39m\n\u001b[32m 3289\u001b[39m chunks.append(chunk)\n\u001b[32m 3290\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 3291\u001b[39m \u001b[38;5;66;03m# v1: collect interrupts from updates stream\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m3292\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 3293\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 3294\u001b[39m \u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3295\u001b[39m \u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcontext\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3296\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m=\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 3297\u001b[39m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mupdates\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mvalues\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m \u001b[49m\u001b[43m==\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mvalues\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\n\u001b[32m 3298\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3299\u001b[39m \u001b[43m \u001b[49m\u001b[43mprint_mode\u001b[49m\u001b[43m=\u001b[49m\u001b[43mprint_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3300\u001b[39m \u001b[43m \u001b[49m\u001b[43moutput_keys\u001b[49m\u001b[43m=\u001b[49m\u001b[43moutput_keys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3301\u001b[39m \u001b[43m \u001b[49m\u001b[43minterrupt_before\u001b[49m\u001b[43m=\u001b[49m\u001b[43minterrupt_before\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3302\u001b[39m \u001b[43m \u001b[49m\u001b[43minterrupt_after\u001b[49m\u001b[43m=\u001b[49m\u001b[43minterrupt_after\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3303\u001b[39m \u001b[43m \u001b[49m\u001b[43mdurability\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdurability\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3304\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3305\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 3306\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m \u001b[49m\u001b[43m==\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mvalues\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\n\u001b[32m 3307\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[43m==\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m2\u001b[39;49m\u001b[43m:\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\pregel\\main.py:2725\u001b[39m, in \u001b[36mPregel.stream\u001b[39m\u001b[34m(self, input, config, context, stream_mode, print_mode, output_keys, interrupt_before, interrupt_after, durability, subgraphs, debug, version, **kwargs)\u001b[39m\n\u001b[32m 2723\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m task \u001b[38;5;129;01min\u001b[39;00m loop.match_cached_writes():\n\u001b[32m 2724\u001b[39m loop.output_writes(task.id, task.writes, cached=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m-> \u001b[39m\u001b[32m2725\u001b[39m \u001b[43m\u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m_\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrunner\u001b[49m\u001b[43m.\u001b[49m\u001b[43mtick\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 2726\u001b[39m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mt\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mloop\u001b[49m\u001b[43m.\u001b[49m\u001b[43mtasks\u001b[49m\u001b[43m.\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwrites\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2727\u001b[39m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mstep_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2728\u001b[39m \u001b[43m \u001b[49m\u001b[43mget_waiter\u001b[49m\u001b[43m=\u001b[49m\u001b[43mget_waiter\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2729\u001b[39m \u001b[43m \u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m=\u001b[49m\u001b[43mloop\u001b[49m\u001b[43m.\u001b[49m\u001b[43maccept_push\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2730\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 2731\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# emit output\u001b[39;49;00m\n\u001b[32m 2732\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01myield from\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m_output\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 2733\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2734\u001b[39m \u001b[43m \u001b[49m\u001b[43mprint_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m (...)\u001b[39m\u001b[32m 2740\u001b[39m \u001b[43m \u001b[49m\u001b[43m_state_mapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 2741\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2742\u001b[39m loop.after_tick()\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\pregel\\_runner.py:167\u001b[39m, in \u001b[36mPregelRunner.tick\u001b[39m\u001b[34m(self, tasks, reraise, timeout, retry_policy, get_waiter, schedule_task)\u001b[39m\n\u001b[32m 165\u001b[39m t = tasks[\u001b[32m0\u001b[39m]\n\u001b[32m 166\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m167\u001b[39m \u001b[43mrun_with_retry\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 168\u001b[39m \u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 169\u001b[39m \u001b[43m \u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 170\u001b[39m \u001b[43m \u001b[49m\u001b[43mconfigurable\u001b[49m\u001b[43m=\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m 171\u001b[39m \u001b[43m \u001b[49m\u001b[43mCONFIG_KEY_CALL\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mpartial\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 172\u001b[39m \u001b[43m \u001b[49m\u001b[43m_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 173\u001b[39m \u001b[43m \u001b[49m\u001b[43mweakref\u001b[49m\u001b[43m.\u001b[49m\u001b[43mref\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 174\u001b[39m \u001b[43m \u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m=\u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 175\u001b[39m \u001b[43m \u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m=\u001b[49m\u001b[43mweakref\u001b[49m\u001b[43m.\u001b[49m\u001b[43mref\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 176\u001b[39m \u001b[43m \u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m=\u001b[49m\u001b[43mschedule_task\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 177\u001b[39m \u001b[43m \u001b[49m\u001b[43msubmit\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43msubmit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 178\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 179\u001b[39m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 180\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 181\u001b[39m \u001b[38;5;28mself\u001b[39m.commit(t, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m 182\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\pregel\\_retry.py:96\u001b[39m, in \u001b[36mrun_with_retry\u001b[39m\u001b[34m(task, retry_policy, configurable)\u001b[39m\n\u001b[32m 94\u001b[39m task.writes.clear()\n\u001b[32m 95\u001b[39m \u001b[38;5;66;03m# run the task\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m96\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mtask\u001b[49m\u001b[43m.\u001b[49m\u001b[43mproc\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m.\u001b[49m\u001b[43minput\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 97\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ParentCommand \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m 98\u001b[39m ns: \u001b[38;5;28mstr\u001b[39m = config[CONF][CONFIG_KEY_CHECKPOINT_NS]\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\_internal\\_runnable.py:656\u001b[39m, in \u001b[36mRunnableSeq.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 654\u001b[39m \u001b[38;5;66;03m# run in context\u001b[39;00m\n\u001b[32m 655\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m set_config_context(config, run) \u001b[38;5;28;01mas\u001b[39;00m context:\n\u001b[32m--> \u001b[39m\u001b[32m656\u001b[39m \u001b[38;5;28minput\u001b[39m = \u001b[43mcontext\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstep\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 657\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 658\u001b[39m \u001b[38;5;28minput\u001b[39m = step.invoke(\u001b[38;5;28minput\u001b[39m, config)\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langgraph\\_internal\\_runnable.py:400\u001b[39m, in \u001b[36mRunnableCallable.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 398\u001b[39m run_manager.on_chain_end(ret)\n\u001b[32m 399\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m400\u001b[39m ret = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 401\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.recurse \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(ret, Runnable):\n\u001b[32m 402\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m ret.invoke(\u001b[38;5;28minput\u001b[39m, config)\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\src\\agent.py:48\u001b[39m, in \u001b[36mReActAgent.reason\u001b[39m\u001b[34m(self, state)\u001b[39m\n\u001b[32m 47\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mreason\u001b[39m(\u001b[38;5;28mself\u001b[39m, state: AgentSchema) -> AgentSchema: \n\u001b[32m---> \u001b[39m\u001b[32m48\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mbrain\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 49\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.verbose: \u001b[38;5;28mprint\u001b[39m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mReasoning:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mresponse.additional_kwargs[\u001b[33m\"\u001b[39m\u001b[33mreasoning_content\u001b[39m\u001b[33m\"\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33mResponse:\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresponse\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m 50\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m {\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m: [response], \u001b[33m\"\u001b[39m\u001b[33mniter\u001b[39m\u001b[33m\"\u001b[39m: \u001b[38;5;28mint\u001b[39m(state.get(\u001b[33m\"\u001b[39m\u001b[33mniter\u001b[39m\u001b[33m\"\u001b[39m))+\u001b[32m1\u001b[39m}\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_core\\runnables\\base.py:5695\u001b[39m, in \u001b[36mRunnableBindingBase.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 5688\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 5689\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34minvoke\u001b[39m(\n\u001b[32m 5690\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 5693\u001b[39m **kwargs: Any | \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 5694\u001b[39m ) -> Output:\n\u001b[32m-> \u001b[39m\u001b[32m5695\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mbound\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 5696\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 5697\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_merge_configs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5698\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43m{\u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5699\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_core\\language_models\\chat_models.py:454\u001b[39m, in \u001b[36mBaseChatModel.invoke\u001b[39m\u001b[34m(self, input, config, stop, **kwargs)\u001b[39m\n\u001b[32m 440\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 441\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34minvoke\u001b[39m(\n\u001b[32m 442\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 447\u001b[39m **kwargs: Any,\n\u001b[32m 448\u001b[39m ) -> AIMessage:\n\u001b[32m 449\u001b[39m config = ensure_config(config)\n\u001b[32m 450\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m cast(\n\u001b[32m 451\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mAIMessage\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 452\u001b[39m cast(\n\u001b[32m 453\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mChatGeneration\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m--> \u001b[39m\u001b[32m454\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mgenerate_prompt\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 455\u001b[39m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_convert_input\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 456\u001b[39m \u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 457\u001b[39m \u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcallbacks\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 458\u001b[39m \u001b[43m \u001b[49m\u001b[43mtags\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtags\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 459\u001b[39m \u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmetadata\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 460\u001b[39m \u001b[43m \u001b[49m\u001b[43mrun_name\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrun_name\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 461\u001b[39m \u001b[43m \u001b[49m\u001b[43mrun_id\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m.\u001b[49m\u001b[43mpop\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrun_id\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 462\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 463\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m.generations[\u001b[32m0\u001b[39m][\u001b[32m0\u001b[39m],\n\u001b[32m 464\u001b[39m ).message,\n\u001b[32m 465\u001b[39m )\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_core\\language_models\\chat_models.py:1201\u001b[39m, in \u001b[36mBaseChatModel.generate_prompt\u001b[39m\u001b[34m(self, prompts, stop, callbacks, **kwargs)\u001b[39m\n\u001b[32m 1192\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 1193\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mgenerate_prompt\u001b[39m(\n\u001b[32m 1194\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 1198\u001b[39m **kwargs: Any,\n\u001b[32m 1199\u001b[39m ) -> LLMResult:\n\u001b[32m 1200\u001b[39m prompt_messages = [p.to_messages() \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m prompts]\n\u001b[32m-> \u001b[39m\u001b[32m1201\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprompt_messages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_core\\language_models\\chat_models.py:1010\u001b[39m, in \u001b[36mBaseChatModel.generate\u001b[39m\u001b[34m(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)\u001b[39m\n\u001b[32m 1007\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m i, m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(input_messages):\n\u001b[32m 1008\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 1009\u001b[39m results.append(\n\u001b[32m-> \u001b[39m\u001b[32m1010\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_generate_with_cache\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1011\u001b[39m \u001b[43m \u001b[49m\u001b[43mm\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1012\u001b[39m \u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1013\u001b[39m \u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrun_managers\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mrun_managers\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 1014\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1015\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1016\u001b[39m )\n\u001b[32m 1017\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 1018\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m run_managers:\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_core\\language_models\\chat_models.py:1313\u001b[39m, in \u001b[36mBaseChatModel._generate_with_cache\u001b[39m\u001b[34m(self, messages, stop, run_manager, **kwargs)\u001b[39m\n\u001b[32m 1311\u001b[39m result = generate_from_stream(\u001b[38;5;28miter\u001b[39m(chunks))\n\u001b[32m 1312\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m inspect.signature(\u001b[38;5;28mself\u001b[39m._generate).parameters.get(\u001b[33m\"\u001b[39m\u001b[33mrun_manager\u001b[39m\u001b[33m\"\u001b[39m):\n\u001b[32m-> \u001b[39m\u001b[32m1313\u001b[39m result = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_generate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1314\u001b[39m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\n\u001b[32m 1315\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1316\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 1317\u001b[39m result = \u001b[38;5;28mself\u001b[39m._generate(messages, stop=stop, **kwargs)\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_ollama\\chat_models.py:1030\u001b[39m, in \u001b[36mChatOllama._generate\u001b[39m\u001b[34m(self, messages, stop, run_manager, **kwargs)\u001b[39m\n\u001b[32m 1023\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_generate\u001b[39m(\n\u001b[32m 1024\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 1025\u001b[39m messages: \u001b[38;5;28mlist\u001b[39m[BaseMessage],\n\u001b[32m (...)\u001b[39m\u001b[32m 1028\u001b[39m **kwargs: Any,\n\u001b[32m 1029\u001b[39m ) -> ChatResult:\n\u001b[32m-> \u001b[39m\u001b[32m1030\u001b[39m final_chunk = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_chat_stream_with_aggregation\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1031\u001b[39m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\n\u001b[32m 1032\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1033\u001b[39m generation_info = final_chunk.generation_info\n\u001b[32m 1034\u001b[39m chat_generation = ChatGeneration(\n\u001b[32m 1035\u001b[39m message=AIMessage(\n\u001b[32m 1036\u001b[39m content=final_chunk.text,\n\u001b[32m (...)\u001b[39m\u001b[32m 1043\u001b[39m generation_info=generation_info,\n\u001b[32m 1044\u001b[39m )\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_ollama\\chat_models.py:965\u001b[39m, in \u001b[36mChatOllama._chat_stream_with_aggregation\u001b[39m\u001b[34m(self, messages, stop, run_manager, verbose, **kwargs)\u001b[39m\n\u001b[32m 956\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_chat_stream_with_aggregation\u001b[39m(\n\u001b[32m 957\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 958\u001b[39m messages: \u001b[38;5;28mlist\u001b[39m[BaseMessage],\n\u001b[32m (...)\u001b[39m\u001b[32m 962\u001b[39m **kwargs: Any,\n\u001b[32m 963\u001b[39m ) -> ChatGenerationChunk:\n\u001b[32m 964\u001b[39m final_chunk = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m965\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_iterate_over_stream\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 966\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mfinal_chunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m:\u001b[49m\n\u001b[32m 967\u001b[39m \u001b[43m \u001b[49m\u001b[43mfinal_chunk\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_ollama\\chat_models.py:1054\u001b[39m, in \u001b[36mChatOllama._iterate_over_stream\u001b[39m\u001b[34m(self, messages, stop, **kwargs)\u001b[39m\n\u001b[32m 1047\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_iterate_over_stream\u001b[39m(\n\u001b[32m 1048\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 1049\u001b[39m messages: \u001b[38;5;28mlist\u001b[39m[BaseMessage],\n\u001b[32m 1050\u001b[39m stop: \u001b[38;5;28mlist\u001b[39m[\u001b[38;5;28mstr\u001b[39m] | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 1051\u001b[39m **kwargs: Any,\n\u001b[32m 1052\u001b[39m ) -> Iterator[ChatGenerationChunk]:\n\u001b[32m 1053\u001b[39m reasoning = kwargs.get(\u001b[33m\"\u001b[39m\u001b[33mreasoning\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28mself\u001b[39m.reasoning)\n\u001b[32m-> \u001b[39m\u001b[32m1054\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_create_chat_stream\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 1055\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43misinstance\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 1056\u001b[39m \u001b[43m \u001b[49m\u001b[43mcontent\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1057\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessage\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[32m 1058\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessage\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mand\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcontent\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_resp\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessage\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[32m 1059\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\n\u001b[32m 1060\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\langchain_ollama\\chat_models.py:952\u001b[39m, in \u001b[36mChatOllama._create_chat_stream\u001b[39m\u001b[34m(self, messages, stop, **kwargs)\u001b[39m\n\u001b[32m 950\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m chat_params[\u001b[33m\"\u001b[39m\u001b[33mstream\u001b[39m\u001b[33m\"\u001b[39m]:\n\u001b[32m 951\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client:\n\u001b[32m--> \u001b[39m\u001b[32m952\u001b[39m \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client.chat(**chat_params)\n\u001b[32m 953\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client:\n\u001b[32m 954\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client.chat(**chat_params)\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\ollama\\_client.py:181\u001b[39m, in \u001b[36mClient._request.<locals>.inner\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m 178\u001b[39m e.response.read()\n\u001b[32m 179\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ResponseError(e.response.text, e.response.status_code) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m181\u001b[39m \u001b[43m\u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mline\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mr\u001b[49m\u001b[43m.\u001b[49m\u001b[43miter_lines\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 182\u001b[39m \u001b[43m \u001b[49m\u001b[43mpart\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43mjson\u001b[49m\u001b[43m.\u001b[49m\u001b[43mloads\u001b[49m\u001b[43m(\u001b[49m\u001b[43mline\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 183\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43merr\u001b[49m\u001b[43m \u001b[49m\u001b[43m:=\u001b[49m\u001b[43m \u001b[49m\u001b[43mpart\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m'\u001b[39;49m\u001b[33;43merror\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpx\\_models.py:929\u001b[39m, in \u001b[36mResponse.iter_lines\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 927\u001b[39m decoder = LineDecoder()\n\u001b[32m 928\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request=\u001b[38;5;28mself\u001b[39m._request):\n\u001b[32m--> \u001b[39m\u001b[32m929\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mtext\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43miter_text\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 930\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mline\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdecoder\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtext\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 931\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01myield\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mline\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpx\\_models.py:916\u001b[39m, in \u001b[36mResponse.iter_text\u001b[39m\u001b[34m(self, chunk_size)\u001b[39m\n\u001b[32m 914\u001b[39m chunker = TextChunker(chunk_size=chunk_size)\n\u001b[32m 915\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request=\u001b[38;5;28mself\u001b[39m._request):\n\u001b[32m--> \u001b[39m\u001b[32m916\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mbyte_content\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43miter_bytes\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 917\u001b[39m \u001b[43m \u001b[49m\u001b[43mtext_content\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43mdecoder\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbyte_content\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 918\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunker\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtext_content\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpx\\_models.py:897\u001b[39m, in \u001b[36mResponse.iter_bytes\u001b[39m\u001b[34m(self, chunk_size)\u001b[39m\n\u001b[32m 895\u001b[39m chunker = ByteChunker(chunk_size=chunk_size)\n\u001b[32m 896\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request=\u001b[38;5;28mself\u001b[39m._request):\n\u001b[32m--> \u001b[39m\u001b[32m897\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mraw_bytes\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43miter_raw\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 898\u001b[39m \u001b[43m \u001b[49m\u001b[43mdecoded\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[43mdecoder\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[43mraw_bytes\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 899\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunker\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdecoded\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpx\\_models.py:951\u001b[39m, in \u001b[36mResponse.iter_raw\u001b[39m\u001b[34m(self, chunk_size)\u001b[39m\n\u001b[32m 948\u001b[39m chunker = ByteChunker(chunk_size=chunk_size)\n\u001b[32m 950\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request=\u001b[38;5;28mself\u001b[39m._request):\n\u001b[32m--> \u001b[39m\u001b[32m951\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mraw_stream_bytes\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 952\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_num_bytes_downloaded\u001b[49m\u001b[43m \u001b[49m\u001b[43m+\u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mraw_stream_bytes\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 953\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunker\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[43mraw_stream_bytes\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpx\\_client.py:153\u001b[39m, in \u001b[36mBoundSyncStream.__iter__\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 152\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__iter__\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> typing.Iterator[\u001b[38;5;28mbytes\u001b[39m]:\n\u001b[32m--> \u001b[39m\u001b[32m153\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_stream\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 154\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01myield\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpx\\_transports\\default.py:127\u001b[39m, in \u001b[36mResponseStream.__iter__\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 125\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__iter__\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> typing.Iterator[\u001b[38;5;28mbytes\u001b[39m]:\n\u001b[32m 126\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[32m--> \u001b[39m\u001b[32m127\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mpart\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_httpcore_stream\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 128\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01myield\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mpart\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpcore\\_sync\\connection_pool.py:407\u001b[39m, in \u001b[36mPoolByteStream.__iter__\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 405\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m 406\u001b[39m \u001b[38;5;28mself\u001b[39m.close()\n\u001b[32m--> \u001b[39m\u001b[32m407\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m exc \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpcore\\_sync\\connection_pool.py:403\u001b[39m, in \u001b[36mPoolByteStream.__iter__\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 401\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m__iter__\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> typing.Iterator[\u001b[38;5;28mbytes\u001b[39m]:\n\u001b[32m 402\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m403\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mpart\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_stream\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 404\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01myield\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mpart\u001b[49m\n\u001b[32m 405\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpcore\\_sync\\http11.py:342\u001b[39m, in \u001b[36mHTTP11ConnectionByteStream.__iter__\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 340\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m ShieldCancellation():\n\u001b[32m 341\u001b[39m \u001b[38;5;28mself\u001b[39m.close()\n\u001b[32m--> \u001b[39m\u001b[32m342\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m exc\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpcore\\_sync\\http11.py:334\u001b[39m, in \u001b[36mHTTP11ConnectionByteStream.__iter__\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 332\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 333\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\u001b[33m\"\u001b[39m\u001b[33mreceive_response_body\u001b[39m\u001b[33m\"\u001b[39m, logger, \u001b[38;5;28mself\u001b[39m._request, kwargs):\n\u001b[32m--> \u001b[39m\u001b[32m334\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_connection\u001b[49m\u001b[43m.\u001b[49m\u001b[43m_receive_response_body\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 335\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01myield\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\n\u001b[32m 336\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m 337\u001b[39m \u001b[38;5;66;03m# If we get an exception while streaming the response,\u001b[39;00m\n\u001b[32m 338\u001b[39m \u001b[38;5;66;03m# we want to close the response (and possibly the connection)\u001b[39;00m\n\u001b[32m 339\u001b[39m \u001b[38;5;66;03m# before raising that exception.\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpcore\\_sync\\http11.py:203\u001b[39m, in \u001b[36mHTTP11Connection._receive_response_body\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 200\u001b[39m timeout = timeouts.get(\u001b[33m\"\u001b[39m\u001b[33mread\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m 202\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m203\u001b[39m event = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_receive_event\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 204\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(event, h11.Data):\n\u001b[32m 205\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mbytes\u001b[39m(event.data)\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpcore\\_sync\\http11.py:217\u001b[39m, in \u001b[36mHTTP11Connection._receive_event\u001b[39m\u001b[34m(self, timeout)\u001b[39m\n\u001b[32m 214\u001b[39m event = \u001b[38;5;28mself\u001b[39m._h11_state.next_event()\n\u001b[32m 216\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m event \u001b[38;5;129;01mis\u001b[39;00m h11.NEED_DATA:\n\u001b[32m--> \u001b[39m\u001b[32m217\u001b[39m data = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_network_stream\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 218\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mREAD_NUM_BYTES\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\n\u001b[32m 219\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 221\u001b[39m \u001b[38;5;66;03m# If we feed this case through h11 we'll raise an exception like:\u001b[39;00m\n\u001b[32m 222\u001b[39m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[32m 223\u001b[39m \u001b[38;5;66;03m# httpcore.RemoteProtocolError: can't handle event type\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 227\u001b[39m \u001b[38;5;66;03m# perspective. Instead we handle this case distinctly and treat\u001b[39;00m\n\u001b[32m 228\u001b[39m \u001b[38;5;66;03m# it as a ConnectError.\u001b[39;00m\n\u001b[32m 229\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m data == \u001b[33mb\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m._h11_state.their_state == h11.SEND_RESPONSE:\n",
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\dgl17\\Desktop\\Lavoro\\Personal\\Final_Assignment_Template\\hfagent\\Lib\\site-packages\\httpcore\\_backends\\sync.py:128\u001b[39m, in \u001b[36mSyncStream.read\u001b[39m\u001b[34m(self, max_bytes, timeout)\u001b[39m\n\u001b[32m 126\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m map_exceptions(exc_map):\n\u001b[32m 127\u001b[39m \u001b[38;5;28mself\u001b[39m._sock.settimeout(timeout)\n\u001b[32m--> \u001b[39m\u001b[32m128\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sock\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrecv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmax_bytes\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[31mKeyboardInterrupt\u001b[39m: "
]
}
],
"source": [
"assistant.verbose = False\n",
"\n",
"total = 0; guessed = []; failed = []\n",
"for _, row in questiondf.iterrows():\n",
" tid, x, y_true = (row[\"task_id\"], row[\"question\"], row[\"Final answer\"])\n",
" print(f\"Executing task {tid} - \", end=\"\")\n",
" y = assistant(x)[\"messages\"][-1].content\n",
" total+=1\n",
" if y == y_true: guessed.append(tid); print(\"Success\")\n",
" else: failed.append(tid); print(\"Fail\")\n",
"\n",
"print(f\"Test over, Success Rate: {total/len(guessed)*100:.2f}\")"
]
}
],
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