File size: 111,744 Bytes
715a633 6c44e19 715a633 6c44e19 715a633 758564e 715a633 6c44e19 715a633 6c44e19 715a633 6c44e19 054483f 715a633 758564e 054483f 758564e 715a633 054483f 758564e 715a633 054483f 715a633 054483f 715a633 054483f 715a633 054483f 715a633 054483f 715a633 6c44e19 054483f 6c44e19 054483f 6c44e19 054483f 6c44e19 054483f 6c44e19 054483f 6c44e19 758564e 6c44e19 758564e 054483f 758564e 331400f 054483f 758564e 715a633 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"d:\\ankelodon_multiagent_system\\.venv\\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"
]
}
],
"source": [
"from agent import build_workflow\n",
"from config import config\n",
"from tools.code_interpreter import safe_code_run"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"graph = build_workflow()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"💡 ════════════════════\n",
"💡 USER QUERY \n",
"💡 ════════════════════\n",
" • files: none provided\n",
"=== COMPLEXITY ASSESSMENT ===\n",
"Complexity: simple\n",
"Needs planning: False\n",
"Reasoning: This is a pure logical puzzle that can be solved by straightforward reasoning without external tools. It requires a single deduction (let d = number of face-down coins in the 30-coin pile originally; after flipping both piles will have 30-d face-down coins) and a simple arithmetic check. No file access, web search, or multi-step tool use is needed.\n",
"=== SIMPLE EXECUTION ===\n",
"Response generated for simple query.\n",
"=== GENERATING EXECUTION REPORT ===\n",
"Report generated - Confidence: high\n",
"Key findings: 5\n",
"Data sources: 2\n",
"=== ENHANCED ANSWER CRITIQUE ===\n",
"Quality Score: 5/10\n",
"Complete: True\n",
"Accurate: True\n",
"Replanning needed: Incorporate the use of calculation tools to verify numerical results and ensure all steps are clearly documented.\n",
"=== REPLAN DECISION ===\n",
"Iteration: 1/10\n",
"Quality score: 5\n",
"Needs replanning: True\n",
"Replanning due to critic feedback...\n",
"=== REPLANNING ===\n",
"Plan revised based on critic feedback\n",
"Preserved 0 tool results\n",
"\n",
"🤖 ════════════════════\n",
"🤖 EXECUTION \n",
"🤖 ════════════════════\n",
"🤖 Step 1/2: Determine the number of face-down coins in the adventurer's pile after flipping 30 coins.\n",
" • step_id: s1\n",
" • tool: safe_code_run\n",
" • expected: Calculate the number of face-down coins in the adventurer's pile after flipping.\n",
"\n",
"🧠 ════════════════════\n",
"🧠 REASONING \n",
"🧠 ════════════════════\n",
"🧠 s1\n",
"=== SHOULD_CONTINUE DEBUG ===\n",
"Current step: 0\n",
"Plan steps: 2\n",
"Reasoning done: True\n",
"Last message type: AIMessage\n",
"\n",
"🤖 ════════════════════\n",
"🤖 EXECUTION \n",
"🤖 ════════════════════\n",
"🤖 Step 1/2: Determine the number of face-down coins in the adventurer's pile after flipping 30 coins.\n",
" • step_id: s1\n",
" • tool: safe_code_run\n",
" • expected: Calculate the number of face-down coins in the adventurer's pile after flipping.\n",
"=== TOOL EXECUTION ===\n",
"Tool calls: [{'name': 'safe_code_run', 'args': {'code': 'initial_face_down = 30\\nremoved_pile_size = 30\\nlarger_pile_face_down = 14\\nx = initial_face_down - larger_pile_face_down\\nadventurer_face_down_after_flipping = removed_pile_size - x\\nreward = 2 * adventurer_face_down_after_flipping\\nprint(reward)\\nresult = reward'}, 'id': 'call_9WW6Ll5X5MVg3SAl5T3Vis4Z', 'type': 'tool_call'}]\n",
"=== SHOULD_CONTINUE DEBUG ===\n",
"Current step: 1\n",
"Plan steps: 2\n",
"Reasoning done: False\n",
"Last message type: AIMessage\n",
"\n",
"🤖 ════════════════════\n",
"🤖 EXECUTION \n",
"🤖 ════════════════════\n",
"🤖 Step 2/2: Calculate the total number of coins won based on the number of face-down coins in the adventurer's pile.\n",
" • step_id: s2\n",
" • tool: safe_code_run\n",
" • expected: Determine the total coins won by multiplying the number of face-down coins by 2.\n",
"\n",
"🧠 ════════════════════\n",
"🧠 REASONING \n",
"🧠 ════════════════════\n",
"🧠 s2\n",
"=== SHOULD_CONTINUE DEBUG ===\n",
"Current step: 1\n",
"Plan steps: 2\n",
"Reasoning done: True\n",
"Last message type: AIMessage\n",
"\n",
"🤖 ════════════════════\n",
"🤖 EXECUTION \n",
"🤖 ════════════════════\n",
"🤖 Step 2/2: Calculate the total number of coins won based on the number of face-down coins in the adventurer's pile.\n",
" • step_id: s2\n",
" • tool: safe_code_run\n",
" • expected: Determine the total coins won by multiplying the number of face-down coins by 2.\n",
"=== TOOL EXECUTION ===\n",
"Tool calls: []\n",
"=== SHOULD_CONTINUE DEBUG ===\n",
"Current step: 1\n",
"Plan steps: 2\n",
"Reasoning done: False\n",
"Last message type: AIMessage\n",
"\n",
"🤖 ════════════════════\n",
"🤖 EXECUTION \n",
"🤖 ════════════════════\n",
"🤖 Step 2/2: Calculate the total number of coins won based on the number of face-down coins in the adventurer's pile.\n",
" • step_id: s2\n",
" • tool: safe_code_run\n",
" • expected: Determine the total coins won by multiplying the number of face-down coins by 2.\n",
"\n",
"🧠 ════════════════════\n",
"🧠 REASONING \n",
"🧠 ════════════════════\n",
"🧠 s2\n",
"=== SHOULD_CONTINUE DEBUG ===\n",
"Current step: 1\n",
"Plan steps: 2\n",
"Reasoning done: True\n",
"Last message type: AIMessage\n",
"\n",
"🤖 ════════════════════\n",
"🤖 EXECUTION \n",
"🤖 ════════════════════\n",
"🤖 Step 2/2: Calculate the total number of coins won based on the number of face-down coins in the adventurer's pile.\n",
" • step_id: s2\n",
" • tool: safe_code_run\n",
" • expected: Determine the total coins won by multiplying the number of face-down coins by 2.\n",
"=== TOOL EXECUTION ===\n",
"Tool calls: []\n",
"=== SHOULD_CONTINUE DEBUG ===\n",
"Current step: 1\n",
"Plan steps: 2\n",
"Reasoning done: False\n",
"Last message type: AIMessage\n",
"\n",
"🤖 ════════════════════\n",
"🤖 EXECUTION \n",
"🤖 ════════════════════\n",
"🤖 Step 2/2: Calculate the total number of coins won based on the number of face-down coins in the adventurer's pile.\n",
" • step_id: s2\n",
" • tool: safe_code_run\n",
" • expected: Determine the total coins won by multiplying the number of face-down coins by 2.\n",
"\n",
"🧠 ════════════════════\n",
"🧠 REASONING \n",
"🧠 ════════════════════\n",
"🧠 s2\n",
"=== SHOULD_CONTINUE DEBUG ===\n",
"Current step: 1\n",
"Plan steps: 2\n",
"Reasoning done: True\n",
"Last message type: AIMessage\n",
"\n",
"🤖 ════════════════════\n",
"🤖 EXECUTION \n",
"🤖 ════════════════════\n",
"🤖 Step 2/2: Calculate the total number of coins won based on the number of face-down coins in the adventurer's pile.\n",
" • step_id: s2\n",
" • tool: safe_code_run\n",
" • expected: Determine the total coins won by multiplying the number of face-down coins by 2.\n"
]
},
{
"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[3]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m query = \u001b[33m\"\u001b[39m\u001b[33mHere\u001b[39m\u001b[33m'\u001b[39m\u001b[33ms a fun riddle that I\u001b[39m\u001b[33m'\u001b[39m\u001b[33md like you to try.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33mAn adventurer exploring an ancient tomb came across a horde of gold coins, all neatly stacked in columns. As he reached to scoop them into his backpack, a mysterious voice filled the room. \u001b[39m\u001b[38;5;130;01m\\\"\u001b[39;00m\u001b[33mYou have fallen for my trap adventurer,\u001b[39m\u001b[38;5;130;01m\\\"\u001b[39;00m\u001b[33m the voice began, and suddenly the doorway to the chamber was sealed by a heavy rolling disk of stone. The adventurer tried to move the stone disk but was unable to budge the heavy stone. Trapped, he was startled when the voice again spoke. \u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\\"\u001b[39;00m\u001b[33mIf you solve my riddle, I will reward you with a portion of my riches, but if you are not clever, you will never leave this treasure chamber. Before you are 200 gold coins. I pose a challenge to you, adventurer. Within these stacks of coins, all but 30 are face-up. You must divide the coins into two piles, one is yours, and one is mine. You may place as many coins as you like in either pile. You may flip any coins over, but you may not balance any coins on their edges. For every face-down coin in your pile, you will be rewarded with two gold coins. But be warned, if both piles do not contain the same number of face-down coins, the door will remain sealed for all eternity!\u001b[39m\u001b[38;5;130;01m\\\"\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33mThe adventurer smiled, as this would be an easy task. All he had to do was flip over every coin so it was face down, and he would win the entire treasure! As he moved to the columns of coins, however, the light suddenly faded, and he was left in total darkness. The adventurer reached forward and picked up one of the coins, and was shocked when he realized that both sides felt almost the same. Without the light, he was unable to determine which side of the coin was heads and which side was tails. He carefully replaced the coin in its original orientation and tried to think of a way to solve the puzzle. Finally, out of desperation, the adventurer removed 30 coins to create his pile. He then carefully flipped over each coin in his pile, so its orientation was inverted from its original state.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\\"\u001b[39;00m\u001b[33mI\u001b[39m\u001b[33m'\u001b[39m\u001b[33mve finished,\u001b[39m\u001b[38;5;130;01m\\\"\u001b[39;00m\u001b[33m he said, and the lights returned. Looking at the two piles, he noticed that the larger pile contained 14 face-down coins.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33mWhat was the outcome for the adventurer? If he failed the challenge, please respond with \u001b[39m\u001b[38;5;130;01m\\\"\u001b[39;00m\u001b[33mThe adventurer died.\u001b[39m\u001b[38;5;130;01m\\\"\u001b[39;00m\u001b[33m Otherwise, please provide the number of coins the adventurer won at the conclusion of the riddle. If the adventurer won any coins, provide your response as the number of coins, with no other text.\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m result = \u001b[43mgraph\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mquery\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcurrent_step\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mreasoning_done\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfiles\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\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfiles_contents\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\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43miteration_count\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmax_iterations\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mplan\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m \u001b[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\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[43mconfig\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langgraph\\pregel\\main.py:3026\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, **kwargs)\u001b[39m\n\u001b[32m 3023\u001b[39m chunks: \u001b[38;5;28mlist\u001b[39m[\u001b[38;5;28mdict\u001b[39m[\u001b[38;5;28mstr\u001b[39m, Any] | Any] = []\n\u001b[32m 3024\u001b[39m interrupts: \u001b[38;5;28mlist\u001b[39m[Interrupt] = []\n\u001b[32m-> \u001b[39m\u001b[32m3026\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 3027\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 3028\u001b[39m \u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3029\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 3030\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\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\n\u001b[32m 3031\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\n\u001b[32m 3032\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 3033\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 3034\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 3035\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 3036\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 3037\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 3038\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 3039\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 3040\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 3041\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[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langgraph\\pregel\\main.py:2647\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, **kwargs)\u001b[39m\n\u001b[32m 2645\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 2646\u001b[39m loop.output_writes(task.id, task.writes, cached=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m-> \u001b[39m\u001b[32m2647\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 2648\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 2649\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 2650\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 2651\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 2652\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 2653\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# emit output\u001b[39;49;00m\n\u001b[32m 2654\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 2655\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_mode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprint_mode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msubgraphs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mqueue\u001b[49m\u001b[43m.\u001b[49m\u001b[43mEmpty\u001b[49m\n\u001b[32m 2656\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2657\u001b[39m loop.after_tick()\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langgraph\\pregel\\_runner.py:162\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 160\u001b[39m t = tasks[\u001b[32m0\u001b[39m]\n\u001b[32m 161\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m162\u001b[39m \u001b[43mrun_with_retry\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 163\u001b[39m \u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 164\u001b[39m \u001b[43m \u001b[49m\u001b[43mretry_policy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 165\u001b[39m \u001b[43m \u001b[49m\u001b[43mconfigurable\u001b[49m\u001b[43m=\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m 166\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 167\u001b[39m \u001b[43m \u001b[49m\u001b[43m_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 168\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 169\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 170\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 171\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 172\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 173\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 174\u001b[39m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 175\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 176\u001b[39m \u001b[38;5;28mself\u001b[39m.commit(t, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m 177\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[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langgraph\\pregel\\_retry.py:42\u001b[39m, in \u001b[36mrun_with_retry\u001b[39m\u001b[34m(task, retry_policy, configurable)\u001b[39m\n\u001b[32m 40\u001b[39m task.writes.clear()\n\u001b[32m 41\u001b[39m \u001b[38;5;66;03m# run the task\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m42\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 43\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ParentCommand \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m 44\u001b[39m ns: \u001b[38;5;28mstr\u001b[39m = config[CONF][CONFIG_KEY_CHECKPOINT_NS]\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langgraph\\_internal\\_runnable.py:657\u001b[39m, in \u001b[36mRunnableSeq.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 655\u001b[39m \u001b[38;5;66;03m# run in context\u001b[39;00m\n\u001b[32m 656\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[32m657\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 658\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 659\u001b[39m \u001b[38;5;28minput\u001b[39m = step.invoke(\u001b[38;5;28minput\u001b[39m, config)\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langgraph\\_internal\\_runnable.py:401\u001b[39m, in \u001b[36mRunnableCallable.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 399\u001b[39m run_manager.on_chain_end(ret)\n\u001b[32m 400\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m401\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 402\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 403\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[32md:\\ankelodon_multiagent_system\\src\\nodes.py:238\u001b[39m, in \u001b[36magent\u001b[39m\u001b[34m(state)\u001b[39m\n\u001b[32m 235\u001b[39m stack = [sys_msg] + state[\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m] \u001b[38;5;66;03m# Берем последние сообщения включая reasoning\u001b[39;00m\n\u001b[32m 237\u001b[39m \u001b[38;5;66;03m# Используем модель С инструментами для выполнения\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m238\u001b[39m step = \u001b[43mllm_with_tools\u001b[49m\u001b[43m.\u001b[49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstack\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 239\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33m\"\u001b[39m\u001b[33m=== TOOL EXECUTION ===\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 240\u001b[39m \u001b[38;5;66;03m#print(step)\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langchain_core\\runnables\\base.py:5710\u001b[39m, in \u001b[36mRunnableBindingBase.invoke\u001b[39m\u001b[34m(self, input, config, **kwargs)\u001b[39m\n\u001b[32m 5703\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 5704\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34minvoke\u001b[39m(\n\u001b[32m 5705\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 5708\u001b[39m **kwargs: Optional[Any],\n\u001b[32m 5709\u001b[39m ) -> Output:\n\u001b[32m-> \u001b[39m\u001b[32m5710\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 5711\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 5712\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 5713\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 5714\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langchain_core\\language_models\\chat_models.py:395\u001b[39m, in \u001b[36mBaseChatModel.invoke\u001b[39m\u001b[34m(self, input, config, stop, **kwargs)\u001b[39m\n\u001b[32m 383\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 384\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34minvoke\u001b[39m(\n\u001b[32m 385\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 390\u001b[39m **kwargs: Any,\n\u001b[32m 391\u001b[39m ) -> BaseMessage:\n\u001b[32m 392\u001b[39m config = ensure_config(config)\n\u001b[32m 393\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m cast(\n\u001b[32m 394\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mChatGeneration\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m--> \u001b[39m\u001b[32m395\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 396\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 397\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 398\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 399\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 400\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 401\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 402\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 403\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 404\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m.generations[\u001b[32m0\u001b[39m][\u001b[32m0\u001b[39m],\n\u001b[32m 405\u001b[39m ).message\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langchain_core\\language_models\\chat_models.py:1023\u001b[39m, in \u001b[36mBaseChatModel.generate_prompt\u001b[39m\u001b[34m(self, prompts, stop, callbacks, **kwargs)\u001b[39m\n\u001b[32m 1014\u001b[39m \u001b[38;5;129m@override\u001b[39m\n\u001b[32m 1015\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mgenerate_prompt\u001b[39m(\n\u001b[32m 1016\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 1020\u001b[39m **kwargs: Any,\n\u001b[32m 1021\u001b[39m ) -> LLMResult:\n\u001b[32m 1022\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[32m1023\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[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langchain_core\\language_models\\chat_models.py:840\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 837\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 838\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 839\u001b[39m results.append(\n\u001b[32m--> \u001b[39m\u001b[32m840\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 841\u001b[39m \u001b[43m \u001b[49m\u001b[43mm\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 842\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 843\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 844\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 845\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 846\u001b[39m )\n\u001b[32m 847\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 848\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m run_managers:\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langchain_core\\language_models\\chat_models.py:1089\u001b[39m, in \u001b[36mBaseChatModel._generate_with_cache\u001b[39m\u001b[34m(self, messages, stop, run_manager, **kwargs)\u001b[39m\n\u001b[32m 1087\u001b[39m result = generate_from_stream(\u001b[38;5;28miter\u001b[39m(chunks))\n\u001b[32m 1088\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[32m1089\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 1090\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 1091\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1092\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 1093\u001b[39m result = \u001b[38;5;28mself\u001b[39m._generate(messages, stop=stop, **kwargs)\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\langchain_openai\\chat_models\\base.py:1179\u001b[39m, in \u001b[36mBaseChatOpenAI._generate\u001b[39m\u001b[34m(self, messages, stop, run_manager, **kwargs)\u001b[39m\n\u001b[32m 1172\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _construct_lc_result_from_responses_api(\n\u001b[32m 1173\u001b[39m response,\n\u001b[32m 1174\u001b[39m schema=original_schema_obj,\n\u001b[32m 1175\u001b[39m metadata=generation_info,\n\u001b[32m 1176\u001b[39m output_version=\u001b[38;5;28mself\u001b[39m.output_version,\n\u001b[32m 1177\u001b[39m )\n\u001b[32m 1178\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1179\u001b[39m raw_response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mclient\u001b[49m\u001b[43m.\u001b[49m\u001b[43mwith_raw_response\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mpayload\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1180\u001b[39m response = raw_response.parse()\n\u001b[32m 1181\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 e:\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\openai\\_legacy_response.py:364\u001b[39m, in \u001b[36mto_raw_response_wrapper.<locals>.wrapped\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 360\u001b[39m extra_headers[RAW_RESPONSE_HEADER] = \u001b[33m\"\u001b[39m\u001b[33mtrue\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 362\u001b[39m kwargs[\u001b[33m\"\u001b[39m\u001b[33mextra_headers\u001b[39m\u001b[33m\"\u001b[39m] = extra_headers\n\u001b[32m--> \u001b[39m\u001b[32m364\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m cast(LegacyAPIResponse[R], \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[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\openai\\_utils\\_utils.py:286\u001b[39m, in \u001b[36mrequired_args.<locals>.inner.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 284\u001b[39m msg = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[32m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m 285\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[32m--> \u001b[39m\u001b[32m286\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \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[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\openai\\resources\\chat\\completions\\completions.py:1147\u001b[39m, in \u001b[36mCompletions.create\u001b[39m\u001b[34m(self, messages, model, audio, frequency_penalty, function_call, functions, logit_bias, logprobs, max_completion_tokens, max_tokens, metadata, modalities, n, parallel_tool_calls, prediction, presence_penalty, prompt_cache_key, reasoning_effort, response_format, safety_identifier, seed, service_tier, stop, store, stream, stream_options, temperature, tool_choice, tools, top_logprobs, top_p, user, verbosity, web_search_options, extra_headers, extra_query, extra_body, timeout)\u001b[39m\n\u001b[32m 1101\u001b[39m \u001b[38;5;129m@required_args\u001b[39m([\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m], [\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mstream\u001b[39m\u001b[33m\"\u001b[39m])\n\u001b[32m 1102\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mcreate\u001b[39m(\n\u001b[32m 1103\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 1144\u001b[39m timeout: \u001b[38;5;28mfloat\u001b[39m | httpx.Timeout | \u001b[38;5;28;01mNone\u001b[39;00m | NotGiven = NOT_GIVEN,\n\u001b[32m 1145\u001b[39m ) -> ChatCompletion | Stream[ChatCompletionChunk]:\n\u001b[32m 1146\u001b[39m validate_response_format(response_format)\n\u001b[32m-> \u001b[39m\u001b[32m1147\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1148\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m/chat/completions\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 1149\u001b[39m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1150\u001b[39m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m 1151\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[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1152\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmodel\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1153\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43maudio\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43maudio\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1154\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfrequency_penalty\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrequency_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1155\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfunction_call\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunction_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1156\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfunctions\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunctions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1157\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mlogit_bias\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogit_bias\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1158\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mlogprobs\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1159\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmax_completion_tokens\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_completion_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1160\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmax_tokens\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1161\u001b[39m \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\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1162\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmodalities\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodalities\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1163\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mn\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1164\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mparallel_tool_calls\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mparallel_tool_calls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1165\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mprediction\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mprediction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1166\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mpresence_penalty\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mpresence_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1167\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mprompt_cache_key\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mprompt_cache_key\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1168\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mreasoning_effort\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mreasoning_effort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1169\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mresponse_format\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mresponse_format\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1170\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43msafety_identifier\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43msafety_identifier\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1171\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mseed\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mseed\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1172\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mservice_tier\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mservice_tier\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1173\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mstop\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1174\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mstore\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1175\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mstream\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1176\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mstream_options\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1177\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtemperature\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtemperature\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1178\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtool_choice\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtool_choice\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1179\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtools\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtools\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1180\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtop_logprobs\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_logprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1181\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtop_p\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_p\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1182\u001b[39m \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[43muser\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1183\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mverbosity\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbosity\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1184\u001b[39m \u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mweb_search_options\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mweb_search_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1185\u001b[39m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1186\u001b[39m \u001b[43m \u001b[49m\u001b[43mcompletion_create_params\u001b[49m\u001b[43m.\u001b[49m\u001b[43mCompletionCreateParamsStreaming\u001b[49m\n\u001b[32m 1187\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\n\u001b[32m 1188\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mcompletion_create_params\u001b[49m\u001b[43m.\u001b[49m\u001b[43mCompletionCreateParamsNonStreaming\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1189\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1190\u001b[39m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1191\u001b[39m \u001b[43m \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_body\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 1192\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1193\u001b[39m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m=\u001b[49m\u001b[43mChatCompletion\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1194\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m 1195\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mChatCompletionChunk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1196\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\openai\\_base_client.py:1259\u001b[39m, in \u001b[36mSyncAPIClient.post\u001b[39m\u001b[34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[39m\n\u001b[32m 1245\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mpost\u001b[39m(\n\u001b[32m 1246\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 1247\u001b[39m path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[32m (...)\u001b[39m\u001b[32m 1254\u001b[39m stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m 1255\u001b[39m ) -> ResponseT | _StreamT:\n\u001b[32m 1256\u001b[39m opts = FinalRequestOptions.construct(\n\u001b[32m 1257\u001b[39m method=\u001b[33m\"\u001b[39m\u001b[33mpost\u001b[39m\u001b[33m\"\u001b[39m, url=path, json_data=body, files=to_httpx_files(files), **options\n\u001b[32m 1258\u001b[39m )\n\u001b[32m-> \u001b[39m\u001b[32m1259\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\openai\\_base_client.py:982\u001b[39m, in \u001b[36mSyncAPIClient.request\u001b[39m\u001b[34m(self, cast_to, options, stream, stream_cls)\u001b[39m\n\u001b[32m 980\u001b[39m response = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m 981\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m982\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_client\u001b[49m\u001b[43m.\u001b[49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 983\u001b[39m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 984\u001b[39m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_should_stream_response_body\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 985\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 986\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 987\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m httpx.TimeoutException \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[32m 988\u001b[39m log.debug(\u001b[33m\"\u001b[39m\u001b[33mEncountered httpx.TimeoutException\u001b[39m\u001b[33m\"\u001b[39m, exc_info=\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpx\\_client.py:914\u001b[39m, in \u001b[36mClient.send\u001b[39m\u001b[34m(self, request, stream, auth, follow_redirects)\u001b[39m\n\u001b[32m 910\u001b[39m \u001b[38;5;28mself\u001b[39m._set_timeout(request)\n\u001b[32m 912\u001b[39m auth = \u001b[38;5;28mself\u001b[39m._build_request_auth(request, auth)\n\u001b[32m--> \u001b[39m\u001b[32m914\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_handling_auth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 915\u001b[39m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 916\u001b[39m \u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m=\u001b[49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 917\u001b[39m \u001b[43m \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 918\u001b[39m \u001b[43m \u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m=\u001b[49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 919\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 920\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 921\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m stream:\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpx\\_client.py:942\u001b[39m, in \u001b[36mClient._send_handling_auth\u001b[39m\u001b[34m(self, request, auth, follow_redirects, history)\u001b[39m\n\u001b[32m 939\u001b[39m request = \u001b[38;5;28mnext\u001b[39m(auth_flow)\n\u001b[32m 941\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m942\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_handling_redirects\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 943\u001b[39m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 944\u001b[39m \u001b[43m \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 945\u001b[39m \u001b[43m \u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 946\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 947\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 948\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpx\\_client.py:979\u001b[39m, in \u001b[36mClient._send_handling_redirects\u001b[39m\u001b[34m(self, request, follow_redirects, history)\u001b[39m\n\u001b[32m 976\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m._event_hooks[\u001b[33m\"\u001b[39m\u001b[33mrequest\u001b[39m\u001b[33m\"\u001b[39m]:\n\u001b[32m 977\u001b[39m hook(request)\n\u001b[32m--> \u001b[39m\u001b[32m979\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_single_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 980\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 981\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m._event_hooks[\u001b[33m\"\u001b[39m\u001b[33mresponse\u001b[39m\u001b[33m\"\u001b[39m]:\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpx\\_client.py:1014\u001b[39m, in \u001b[36mClient._send_single_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 1009\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[32m 1010\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mAttempted to send an async request with a sync Client instance.\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 1011\u001b[39m )\n\u001b[32m 1013\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request=request):\n\u001b[32m-> \u001b[39m\u001b[32m1014\u001b[39m response = \u001b[43mtransport\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1016\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response.stream, SyncByteStream)\n\u001b[32m 1018\u001b[39m response.request = request\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpx\\_transports\\default.py:250\u001b[39m, in \u001b[36mHTTPTransport.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 237\u001b[39m req = httpcore.Request(\n\u001b[32m 238\u001b[39m method=request.method,\n\u001b[32m 239\u001b[39m url=httpcore.URL(\n\u001b[32m (...)\u001b[39m\u001b[32m 247\u001b[39m extensions=request.extensions,\n\u001b[32m 248\u001b[39m )\n\u001b[32m 249\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[32m--> \u001b[39m\u001b[32m250\u001b[39m resp = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_pool\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 252\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(resp.stream, typing.Iterable)\n\u001b[32m 254\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m Response(\n\u001b[32m 255\u001b[39m status_code=resp.status,\n\u001b[32m 256\u001b[39m headers=resp.headers,\n\u001b[32m 257\u001b[39m stream=ResponseStream(resp.stream),\n\u001b[32m 258\u001b[39m extensions=resp.extensions,\n\u001b[32m 259\u001b[39m )\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection_pool.py:256\u001b[39m, in \u001b[36mConnectionPool.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 253\u001b[39m closing = \u001b[38;5;28mself\u001b[39m._assign_requests_to_connections()\n\u001b[32m 255\u001b[39m \u001b[38;5;28mself\u001b[39m._close_connections(closing)\n\u001b[32m--> \u001b[39m\u001b[32m256\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[32m 258\u001b[39m \u001b[38;5;66;03m# Return the response. Note that in this case we still have to manage\u001b[39;00m\n\u001b[32m 259\u001b[39m \u001b[38;5;66;03m# the point at which the response is closed.\u001b[39;00m\n\u001b[32m 260\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response.stream, typing.Iterable)\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection_pool.py:236\u001b[39m, in \u001b[36mConnectionPool.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 232\u001b[39m connection = pool_request.wait_for_connection(timeout=timeout)\n\u001b[32m 234\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 235\u001b[39m \u001b[38;5;66;03m# Send the request on the assigned connection.\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m236\u001b[39m response = \u001b[43mconnection\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 237\u001b[39m \u001b[43m \u001b[49m\u001b[43mpool_request\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\n\u001b[32m 238\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 239\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ConnectionNotAvailable:\n\u001b[32m 240\u001b[39m \u001b[38;5;66;03m# In some cases a connection may initially be available to\u001b[39;00m\n\u001b[32m 241\u001b[39m \u001b[38;5;66;03m# handle a request, but then become unavailable.\u001b[39;00m\n\u001b[32m 242\u001b[39m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[32m 243\u001b[39m \u001b[38;5;66;03m# In this case we clear the connection and try again.\u001b[39;00m\n\u001b[32m 244\u001b[39m pool_request.clear_connection()\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection.py:103\u001b[39m, in \u001b[36mHTTPConnection.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 100\u001b[39m \u001b[38;5;28mself\u001b[39m._connect_failed = \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[32m 101\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[32m--> \u001b[39m\u001b[32m103\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_connection\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpcore\\_sync\\http11.py:136\u001b[39m, in \u001b[36mHTTP11Connection.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 134\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\u001b[33m\"\u001b[39m\u001b[33mresponse_closed\u001b[39m\u001b[33m\"\u001b[39m, logger, request) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[32m 135\u001b[39m \u001b[38;5;28mself\u001b[39m._response_closed()\n\u001b[32m--> \u001b[39m\u001b[32m136\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m exc\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpcore\\_sync\\http11.py:106\u001b[39m, in \u001b[36mHTTP11Connection.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 95\u001b[39m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[32m 97\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\n\u001b[32m 98\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mreceive_response_headers\u001b[39m\u001b[33m\"\u001b[39m, logger, request, kwargs\n\u001b[32m 99\u001b[39m ) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[32m 100\u001b[39m (\n\u001b[32m 101\u001b[39m http_version,\n\u001b[32m 102\u001b[39m status,\n\u001b[32m 103\u001b[39m reason_phrase,\n\u001b[32m 104\u001b[39m headers,\n\u001b[32m 105\u001b[39m trailing_data,\n\u001b[32m--> \u001b[39m\u001b[32m106\u001b[39m ) = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_receive_response_headers\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 107\u001b[39m trace.return_value = (\n\u001b[32m 108\u001b[39m http_version,\n\u001b[32m 109\u001b[39m status,\n\u001b[32m 110\u001b[39m reason_phrase,\n\u001b[32m 111\u001b[39m headers,\n\u001b[32m 112\u001b[39m )\n\u001b[32m 114\u001b[39m network_stream = \u001b[38;5;28mself\u001b[39m._network_stream\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\Lib\\site-packages\\httpcore\\_sync\\http11.py:177\u001b[39m, in \u001b[36mHTTP11Connection._receive_response_headers\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m 174\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 176\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m177\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 178\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(event, h11.Response):\n\u001b[32m 179\u001b[39m \u001b[38;5;28;01mbreak\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32md:\\ankelodon_multiagent_system\\.venv\\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[32md:\\ankelodon_multiagent_system\\.venv\\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[36mFile \u001b[39m\u001b[32mD:\\Anaconda\\Lib\\ssl.py:1296\u001b[39m, in \u001b[36mSSLSocket.recv\u001b[39m\u001b[34m(self, buflen, flags)\u001b[39m\n\u001b[32m 1292\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m flags != \u001b[32m0\u001b[39m:\n\u001b[32m 1293\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 1294\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mnon-zero flags not allowed in calls to recv() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m\"\u001b[39m %\n\u001b[32m 1295\u001b[39m \u001b[38;5;28mself\u001b[39m.\u001b[34m__class__\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m1296\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbuflen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1297\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 1298\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m().recv(buflen, flags)\n",
"\u001b[36mFile \u001b[39m\u001b[32mD:\\Anaconda\\Lib\\ssl.py:1169\u001b[39m, in \u001b[36mSSLSocket.read\u001b[39m\u001b[34m(self, len, buffer)\u001b[39m\n\u001b[32m 1167\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._sslobj.read(\u001b[38;5;28mlen\u001b[39m, buffer)\n\u001b[32m 1168\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1169\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sslobj\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m 1170\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m SSLError \u001b[38;5;28;01mas\u001b[39;00m x:\n\u001b[32m 1171\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m x.args[\u001b[32m0\u001b[39m] == SSL_ERROR_EOF \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m.suppress_ragged_eofs:\n",
"\u001b[31mKeyboardInterrupt\u001b[39m: "
]
}
],
"source": [
"query = \"Here's a fun riddle that I'd like you to try.\\n\\nAn adventurer exploring an ancient tomb came across a horde of gold coins, all neatly stacked in columns. As he reached to scoop them into his backpack, a mysterious voice filled the room. \\\"You have fallen for my trap adventurer,\\\" the voice began, and suddenly the doorway to the chamber was sealed by a heavy rolling disk of stone. The adventurer tried to move the stone disk but was unable to budge the heavy stone. Trapped, he was startled when the voice again spoke. \\n\\n\\\"If you solve my riddle, I will reward you with a portion of my riches, but if you are not clever, you will never leave this treasure chamber. Before you are 200 gold coins. I pose a challenge to you, adventurer. Within these stacks of coins, all but 30 are face-up. You must divide the coins into two piles, one is yours, and one is mine. You may place as many coins as you like in either pile. You may flip any coins over, but you may not balance any coins on their edges. For every face-down coin in your pile, you will be rewarded with two gold coins. But be warned, if both piles do not contain the same number of face-down coins, the door will remain sealed for all eternity!\\\"\\n\\nThe adventurer smiled, as this would be an easy task. All he had to do was flip over every coin so it was face down, and he would win the entire treasure! As he moved to the columns of coins, however, the light suddenly faded, and he was left in total darkness. The adventurer reached forward and picked up one of the coins, and was shocked when he realized that both sides felt almost the same. Without the light, he was unable to determine which side of the coin was heads and which side was tails. He carefully replaced the coin in its original orientation and tried to think of a way to solve the puzzle. Finally, out of desperation, the adventurer removed 30 coins to create his pile. He then carefully flipped over each coin in his pile, so its orientation was inverted from its original state.\\n\\n\\\"I've finished,\\\" he said, and the lights returned. Looking at the two piles, he noticed that the larger pile contained 14 face-down coins.\\n\\nWhat was the outcome for the adventurer? If he failed the challenge, please respond with \\\"The adventurer died.\\\" Otherwise, please provide the number of coins the adventurer won at the conclusion of the riddle. If the adventurer won any coins, provide your response as the number of coins, with no other text.\"\n",
"result = graph.invoke({\"query\" : query, \"current_step\": 0, \"reasoning_done\": False, \"files\" : [], \"files_contents\" : {}, \"iteration_count\" : 0, \"max_iterations\" : 10, \"plan\" : None} , config = config)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"FINAL ANSWER: 28\n"
]
}
],
"source": [
"print(result[\"final_answer\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'messages': [SystemMessage(content='You are a COMPLEXITY ASSESSOR for a multi-tool agent system.\\nYour job is to analyze user queries and determine their complexity level and processing requirements.\\n\\nCOMPLEXITY LEVELS:\\n1. SIMPLE: Direct questions that can be answered immediately without tools or with single tool use\\n - Examples: \"What is photosynthesis?\", \"Define machine learning\", \"What\\'s the capital of France?\"\\n - NOTE: Simple math like \"2+2\" still requires calculator tool but counts as SIMPLE\\n\\n !ALSO: It can be a logical reasoning or explanation task that does not require tools.\\n \\n2. MODERATE: Questions requiring 2-4 tool calls or basic multi-step analysis\\n - Examples: \"Search for recent news about AI\", \"Analyze this CSV file for trends\", \"Calculate ROI from this data\"\\n - \"Compare two datasets\", \"Summarize multiple documents\"\\n \\n3. COMPLEX: Multi-step problems requiring planning, multiple tools, and sophisticated reasoning\\n - Examples: \"Research market trends and create investment strategy\", \"Analyze multiple data sources and predict outcomes\"\\n - \"Build comprehensive report from various inputs\", \"Multi-stage data processing with validation\"\\n\\nMOST OF THE LOGICAL TASKS ARE SIMPLE, UNLESS THEY REQUIRE TOOLS.\\n\\nASSESSMENT CRITERIA:\\n- Number of distinct steps likely needed (1 = Simple, 2-4 = Moderate, 5+ = Complex)\\n- Tool complexity and dependencies between steps\\n- Data processing requirements and validation needs\\n- Need for intermediate reasoning and synthesis\\n- Risk of failure without proper step-by-step planning\\n- Presence of calculations (automatically requires tool usage)\\n\\nSPECIAL CONSIDERATIONS:\\n- Any calculation/counting task requires tools (affects complexity assessment)\\n- File analysis tasks usually need multiple steps (load + analyze + calculate)\\n- Research tasks typically need search + fetch/extract + synthesis steps\\n- Comparison tasks need separate analysis steps for each item being compared\\n\\nRULES:\\n- SIMPLE queries may bypass planning for non-calculation tasks\\n- MODERATE queries benefit from lightweight planning\\n- COMPLEX queries require full planning with fallbacks\\n- When in doubt, err toward higher complexity\\n- Calculation tasks are never truly \"simple\" due to mandatory tool usage\\n\\nAnalyze the query and respond with your assessment.', additional_kwargs={}, response_metadata={}, id='53c88d82-3aff-49ac-bad7-fac5f318e3b9'),\n",
" HumanMessage(content='Query: Here\\'s a fun riddle that I\\'d like you to try.\\n\\nAn adventurer exploring an ancient tomb came across a horde of gold coins, all neatly stacked in columns. As he reached to scoop them into his backpack, a mysterious voice filled the room. \"You have fallen for my trap adventurer,\" the voice began, and suddenly the doorway to the chamber was sealed by a heavy rolling disk of stone. The adventurer tried to move the stone disk but was unable to budge the heavy stone. Trapped, he was startled when the voice again spoke. \\n\\n\"If you solve my riddle, I will reward you with a portion of my riches, but if you are not clever, you will never leave this treasure chamber. Before you are 200 gold coins. I pose a challenge to you, adventurer. Within these stacks of coins, all but 30 are face-up. You must divide the coins into two piles, one is yours, and one is mine. You may place as many coins as you like in either pile. You may flip any coins over, but you may not balance any coins on their edges. For every face-down coin in your pile, you will be rewarded with two gold coins. But be warned, if both piles do not contain the same number of face-down coins, the door will remain sealed for all eternity!\"\\n\\nThe adventurer smiled, as this would be an easy task. All he had to do was flip over every coin so it was face down, and he would win the entire treasure! As he moved to the columns of coins, however, the light suddenly faded, and he was left in total darkness. The adventurer reached forward and picked up one of the coins, and was shocked when he realized that both sides felt almost the same. Without the light, he was unable to determine which side of the coin was heads and which side was tails. He carefully replaced the coin in its original orientation and tried to think of a way to solve the puzzle. Finally, out of desperation, the adventurer removed 30 coins to create his pile. He then carefully flipped over each coin in his pile, so its orientation was inverted from its original state.\\n\\n\"I\\'ve finished,\" he said, and the lights returned. Looking at the two piles, he noticed that the larger pile contained 14 face-down coins.\\n\\nWhat was the outcome for the adventurer? If he failed the challenge, please respond with \"The adventurer died.\" Otherwise, please provide the number of coins the adventurer won at the conclusion of the riddle. If the adventurer won any coins, provide your response as the number of coins, with no other text.', additional_kwargs={}, response_metadata={}, id='0e2354b2-f1c8-425b-bce5-15c84f378ad2'),\n",
" AIMessage(content='28', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 1994, 'prompt_tokens': 2790, 'total_tokens': 4784, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 1984, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrokROTYs0PyTVKCNCWKu7AWKz8q', 'service_tier': 'default', 'finish_reason': 'stop', 'logprobs': None}, id='run--32476363-efee-4659-bffb-29f95d4443df-0', usage_metadata={'input_tokens': 2790, 'output_tokens': 1994, 'total_tokens': 4784, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 1984}}),\n",
" AIMessage(content=\"<REASONING>\\nStep goal: determine how many face-down coins are in the adventurer's 30-coin pile after he flipped each coin.\\n\\nWhy this is needed: the number of face-down coins in the adventurer's pile directly determines his reward (2 gold per face-down coin). We must compute this count exactly using the specified computational tool.\\n\\nPlanned approach and reasoning:\\n- Let x = the number of coins that were face-down among the 30 coins he removed originally.\\n- After flipping those 30 coins, the adventurer's pile will have (30 - x) face-down coins.\\n- The remaining larger pile will then have the original total face-down (30) minus x = (30 - x) face-down coins as well.\\n- We are told that after the operation the larger pile contains 14 face-down coins, so (30 - x) = 14, and therefore the adventurer's pile should also contain 14 face-down coins. I will use the safe_code_run tool to perform and confirm the numerical calculation (no manual arithmetic).\\n\\nChosen tool: safe_code_run\\nInputs to supply to the tool: initial face-down in larger pile after flipping = 14, adventurer's pile size = 30. The tool will be asked to compute and confirm the number of face-down coins in the adventurer's pile after flipping (expected result: 14).\\n\\nExpected outcome from the tool: a numeric confirmation that the adventurer's pile contains 14 face-down coins after flipping. After receiving and validating that result, I will proceed to the next step (calculating the reward).\\n</REASONING>\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 2452, 'prompt_tokens': 1545, 'total_tokens': 3997, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 2112, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrprZD6f4lhYNANr0roUkVsjBn0C', 'service_tier': 'default', 'finish_reason': 'stop', 'logprobs': None}, id='run--756ea9cc-da87-4a7e-9665-7a0ec8e1c31b-0', usage_metadata={'input_tokens': 1545, 'output_tokens': 2452, 'total_tokens': 3997, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 2112}}),\n",
" AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_JE8J5OpsNIA406LhaZA1IA8q', 'function': {'arguments': '{\"code\":\"# Compute the adventurer\\'s reward based on puzzle logic\\\\n# Let x = number of face-down coins among the 30 removed originally\\\\n# After flipping, adventurer_face_down = 30 - x\\\\n# We\\'re told the larger pile contains 14 face-down coins, which equals 30 - x\\\\n# So adventurer_face_down = 14, reward = 2 * adventurer_face_down\\\\nx = 30 - 14 # original face-down among removed 30\\\\nadventurer_face_down = 30 - x\\\\nreward = 2 * adventurer_face_down\\\\nprint(adventurer_face_down)\\\\nprint(reward)\\\\nresult = reward\"}', 'name': 'safe_code_run'}, 'type': 'function'}], 'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 479, 'prompt_tokens': 3172, 'total_tokens': 3651, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 320, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrqSvFbxoC69fkAsVOev7NdpJUmA', 'service_tier': 'default', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run--dc6c1af5-e938-4d8a-9fa7-e25cae94f498-0', tool_calls=[{'name': 'safe_code_run', 'args': {'code': \"# Compute the adventurer's reward based on puzzle logic\\n# Let x = number of face-down coins among the 30 removed originally\\n# After flipping, adventurer_face_down = 30 - x\\n# We're told the larger pile contains 14 face-down coins, which equals 30 - x\\n# So adventurer_face_down = 14, reward = 2 * adventurer_face_down\\nx = 30 - 14 # original face-down among removed 30\\nadventurer_face_down = 30 - x\\nreward = 2 * adventurer_face_down\\nprint(adventurer_face_down)\\nprint(reward)\\nresult = reward\"}, 'id': 'call_JE8J5OpsNIA406LhaZA1IA8q', 'type': 'tool_call'}], usage_metadata={'input_tokens': 3172, 'output_tokens': 479, 'total_tokens': 3651, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 320}}),\n",
" ToolMessage(content='{\"execution_id\":\"9156ab99-2297-430b-a886-c3b2d119e711\",\"status\":\"success\",\"stdout\":\"14\\\\n28\\\\n\",\"stderr\":\"\",\"result_repr\":\"28\",\"plots\":[],\"dataframes\":[],\"env\":{\"python\":\"3.11.5\",\"numpy\":\"2.3.3\",\"pandas\":\"2.3.2\",\"platform\":\"Windows-10-10.0.26100-SP0\"}}', name='safe_code_run', id='ed4d5be1-2ac2-496a-b200-f05b86305f3f', tool_call_id='call_JE8J5OpsNIA406LhaZA1IA8q'),\n",
" AIMessage(content=\"<REASONING>\\nGoal: compute the adventurer's reward in coins, which equals 2 × (number of face-down coins in the adventurer's pile) as specified by the riddle.\\n\\nWhat I need to do and why:\\n- I must take the number of face-down coins in the adventurer's pile (this is the output from step 1) and multiply it by 2 to get the total coins awarded.\\n- Per the execution rules, I will use the safe_code_run tool to perform the multiplication and any numerical verification (no manual arithmetic).\\n\\nPlanned tool call (to be executed next, not now):\\n- Tool: safe_code_run\\n- Input: the integer value representing the number of face-down coins in the adventurer's pile (from step 1).\\n- Operation: compute reward = 2 * (face-down count) and return both the counted face-down value and the computed reward for validation.\\n\\nExpected outcome:\\n- A numeric confirmation of the face-down count in the adventurer's pile and the resulting reward (an integer number of coins).\\n\\nI will not call the tool yet; waiting for permission to proceed with the numerical computation using safe_code_run.\\n</REASONING>\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 1086, 'prompt_tokens': 2141, 'total_tokens': 3227, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 832, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrqecscnOOMHgyYeAm7JO1NC7srX', 'service_tier': 'default', 'finish_reason': 'stop', 'logprobs': None}, id='run--18ec176e-1b2c-42c8-8d4a-d238cb6d8fdc-0', usage_metadata={'input_tokens': 2141, 'output_tokens': 1086, 'total_tokens': 3227, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 832}}),\n",
" AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_smOmBhqF93IYbhubjgMb1lcr', 'function': {'arguments': '{\"code\":\"# Step 2: compute reward given that adventurer\\'s pile has 14 face-down coins\\\\nadventurer_face_down = 14\\\\nreward = 2 * adventurer_face_down\\\\nprint(reward)\\\\nresult = reward\"}', 'name': 'safe_code_run'}, 'type': 'function'}], 'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 774, 'prompt_tokens': 3680, 'total_tokens': 4454, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 704, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrqvsmM7WzSJ0UUkugTAhSQJSTPf', 'service_tier': 'default', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run--beda0daa-5c28-4340-8cdd-875d422d2aba-0', tool_calls=[{'name': 'safe_code_run', 'args': {'code': \"# Step 2: compute reward given that adventurer's pile has 14 face-down coins\\nadventurer_face_down = 14\\nreward = 2 * adventurer_face_down\\nprint(reward)\\nresult = reward\"}, 'id': 'call_smOmBhqF93IYbhubjgMb1lcr', 'type': 'tool_call'}], usage_metadata={'input_tokens': 3680, 'output_tokens': 774, 'total_tokens': 4454, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 704}}),\n",
" ToolMessage(content='{\"execution_id\":\"497fb79d-d9a6-46d3-a2a7-754237b9ea43\",\"status\":\"success\",\"stdout\":\"28\\\\n\",\"stderr\":\"\",\"result_repr\":\"28\",\"plots\":[],\"dataframes\":[],\"env\":{\"python\":\"3.11.5\",\"numpy\":\"2.3.3\",\"pandas\":\"2.3.2\",\"platform\":\"Windows-10-10.0.26100-SP0\"}}', name='safe_code_run', id='802122ae-de93-4d8a-a79b-51b8a0e08760', tool_call_id='call_smOmBhqF93IYbhubjgMb1lcr'),\n",
" AIMessage(content='STEP COMPLETE\\n\\n28', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 7, 'prompt_tokens': 2550, 'total_tokens': 2557, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 0, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrrDaB3mRmvNnrMbHwk0hDW69Wou', 'service_tier': 'default', 'finish_reason': 'stop', 'logprobs': None}, id='run--0505418f-fb38-43ef-a0ce-60478ec9a5e9-0', usage_metadata={'input_tokens': 2550, 'output_tokens': 7, 'total_tokens': 2557, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 0}}),\n",
" AIMessage(content=\"Assessment: SIMPLE\\n\\nWhy:\\n- The puzzle is a straightforward logical deduction plus one small arithmetic step. It can be solved in a few clear steps with no need for web/file tools or multi-stage data processing.\\n- The reasoning requires defining a small variable, forming a single linear equation, solving it, and multiplying the resulting count by 2.\\n\\nEstimated steps (1–3):\\n1. Let x = number of face-down coins among the 30 removed originally. After flipping, adventurer's pile has 30 − x face-down coins.\\n2. The remaining pile also has 30 − x face-down coins; given that larger pile has 14 face-down coins, set 30 − x = 14 and solve for x (or directly infer adventurer has 14 face-down).\\n3. Compute reward = 2 × (adventurer's face-down count) = 2 × 14 = 28.\\n\\nTool requirements:\\n- No tools required; trivial arithmetic. (Optional: a basic calculator or single arithmetic tool if required by the system.)\\n\\nRecommended plan for an agent:\\n- Do the short symbolic deduction above and return the numeric reward (28). Provide minimal explanation unless the user requests the full reasoning.\\n\\nConfidence: high.\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 1090, 'prompt_tokens': 3859, 'total_tokens': 4949, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 832, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrrF0QmeY3QtFoiiu03BWYyfbvIM', 'service_tier': 'default', 'finish_reason': 'stop', 'logprobs': None}, id='run--6d4fac47-a0da-42f1-ab9f-3a35cae1e998-0', usage_metadata={'input_tokens': 3859, 'output_tokens': 1090, 'total_tokens': 4949, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 832}}),\n",
" AIMessage(content=\"<REASONING>\\nGoal: Verify whether the two piles contain the same number of face-down coins (to confirm the adventurer's success).\\n\\nWhat I will do and why:\\n- I will use the safe_code_run tool to perform an exact numeric comparison between the face-down count in the adventurer's pile and the face-down count in the other (larger) pile. This ensures no manual arithmetic or counting is done by me and satisfies the CRITICAL COMPUTATION RULE.\\n- Using the tool also allows straightforward validation (exact equality check) and returns a clear, unambiguous result.\\n\\nChosen tool: safe_code_run\\n\\nInputs I will provide to the tool:\\n- adventurer_face_down: integer count of face-down coins in the adventurer's 30-coin pile (obtained from the prior step).\\n- other_pile_face_down: integer count of face-down coins in the remaining pile (observed as 14 in the scenario).\\n\\nPlanned operation inside the tool:\\n- Compute a boolean equality check: adventurer_face_down == other_pile_face_down\\n- Return both input counts and the equality result so I can validate them.\\n\\nExpected outcome:\\n- If the equality is True, the verification succeeds (both piles have the same number of face-down coins).\\n- If False, the verification fails and we must replan (per the step's on_fail instruction).\\n\\nValidation before marking complete:\\n- Confirm the tool output explicitly shows both counts and that the equality is True.\\n- If counts are missing or not provided, I will report the missing inputs and wait for replanning instead of guessing.\\n\\nI will now wait to perform the actual safe_code_run call (per instructions not to call any tools yet).\\n</REASONING>\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 806, 'prompt_tokens': 2815, 'total_tokens': 3621, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 448, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrrTxLckqKawpd25d4jtLMudTDmt', 'service_tier': 'default', 'finish_reason': 'stop', 'logprobs': None}, id='run--3a9d1d29-fd12-40f7-b15d-cbc3c33cf1e8-0', usage_metadata={'input_tokens': 2815, 'output_tokens': 806, 'total_tokens': 3621, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 448}}),\n",
" AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_pgfwSXj04EEuOdp6gr833jQu', 'function': {'arguments': '{\"code\":\"adventurer_face_down = 14\\\\nother_pile_face_down = 14\\\\nequality = adventurer_face_down == other_pile_face_down\\\\nprint(f\\\\\"Adventurer face-down: {adventurer_face_down}\\\\\")\\\\nprint(f\\\\\"Other pile face-down: {other_pile_face_down}\\\\\")\\\\nprint(f\\\\\"Equality: {equality}\\\\\")\\\\nresult = {\\\\\"adventurer\\\\\": adventurer_face_down, \\\\\"other\\\\\": other_pile_face_down, \\\\\"equal\\\\\": equality}\"}', 'name': 'safe_code_run'}, 'type': 'function'}], 'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 387, 'prompt_tokens': 4469, 'total_tokens': 4856, 'completion_tokens_details': {'accepted_prediction_tokens': 0, 'audio_tokens': 0, 'reasoning_tokens': 256, 'rejected_prediction_tokens': 0}, 'prompt_tokens_details': {'audio_tokens': 0, 'cached_tokens': 0}}, 'model_name': 'gpt-5-mini-2025-08-07', 'system_fingerprint': None, 'id': 'chatcmpl-CIrrfpqgNu7mw9SDSavN2j3TadWSq', 'service_tier': 'default', 'finish_reason': 'tool_calls', 'logprobs': None}, id='run--7b8513f7-b5e5-4739-924c-ac6e1366f603-0', tool_calls=[{'name': 'safe_code_run', 'args': {'code': 'adventurer_face_down = 14\\nother_pile_face_down = 14\\nequality = adventurer_face_down == other_pile_face_down\\nprint(f\"Adventurer face-down: {adventurer_face_down}\")\\nprint(f\"Other pile face-down: {other_pile_face_down}\")\\nprint(f\"Equality: {equality}\")\\nresult = {\"adventurer\": adventurer_face_down, \"other\": other_pile_face_down, \"equal\": equality}'}, 'id': 'call_pgfwSXj04EEuOdp6gr833jQu', 'type': 'tool_call'}], usage_metadata={'input_tokens': 4469, 'output_tokens': 387, 'total_tokens': 4856, 'input_token_details': {'audio': 0, 'cache_read': 0}, 'output_token_details': {'audio': 0, 'reasoning': 256}}),\n",
" ToolMessage(content='{\"execution_id\":\"085e7f0c-bfb2-4319-9c49-ad2fd0a806e4\",\"status\":\"success\",\"stdout\":\"Adventurer face-down: 14\\\\nOther pile face-down: 14\\\\nEquality: True\\\\n\",\"stderr\":\"\",\"result_repr\":\"{\\'adventurer\\': 14, \\'other\\': 14, \\'equal\\': True}\",\"plots\":[],\"dataframes\":[],\"env\":{\"python\":\"3.11.5\",\"numpy\":\"2.3.3\",\"pandas\":\"2.3.2\",\"platform\":\"Windows-10-10.0.26100-SP0\"}}', name='safe_code_run', id='12a8f016-b9cb-4bf4-95df-062cbafd169f', tool_call_id='call_pgfwSXj04EEuOdp6gr833jQu'),\n",
" AIMessage(content='All plan steps completed. <FINAL_ANSWER>', additional_kwargs={}, response_metadata={}, id='7535c3d3-d817-43bb-85a3-3e48581daa80')],\n",
" 'query': 'Here\\'s a fun riddle that I\\'d like you to try.\\n\\nAn adventurer exploring an ancient tomb came across a horde of gold coins, all neatly stacked in columns. As he reached to scoop them into his backpack, a mysterious voice filled the room. \"You have fallen for my trap adventurer,\" the voice began, and suddenly the doorway to the chamber was sealed by a heavy rolling disk of stone. The adventurer tried to move the stone disk but was unable to budge the heavy stone. Trapped, he was startled when the voice again spoke. \\n\\n\"If you solve my riddle, I will reward you with a portion of my riches, but if you are not clever, you will never leave this treasure chamber. Before you are 200 gold coins. I pose a challenge to you, adventurer. Within these stacks of coins, all but 30 are face-up. You must divide the coins into two piles, one is yours, and one is mine. You may place as many coins as you like in either pile. You may flip any coins over, but you may not balance any coins on their edges. For every face-down coin in your pile, you will be rewarded with two gold coins. But be warned, if both piles do not contain the same number of face-down coins, the door will remain sealed for all eternity!\"\\n\\nThe adventurer smiled, as this would be an easy task. All he had to do was flip over every coin so it was face down, and he would win the entire treasure! As he moved to the columns of coins, however, the light suddenly faded, and he was left in total darkness. The adventurer reached forward and picked up one of the coins, and was shocked when he realized that both sides felt almost the same. Without the light, he was unable to determine which side of the coin was heads and which side was tails. He carefully replaced the coin in its original orientation and tried to think of a way to solve the puzzle. Finally, out of desperation, the adventurer removed 30 coins to create his pile. He then carefully flipped over each coin in his pile, so its orientation was inverted from its original state.\\n\\n\"I\\'ve finished,\" he said, and the lights returned. Looking at the two piles, he noticed that the larger pile contained 14 face-down coins.\\n\\nWhat was the outcome for the adventurer? If he failed the challenge, please respond with \"The adventurer died.\" Otherwise, please provide the number of coins the adventurer won at the conclusion of the riddle. If the adventurer won any coins, provide your response as the number of coins, with no other text.',\n",
" 'final_answer': 'FINAL ANSWER: 28',\n",
" 'plan': PlannerPlan(task_type='calc', summary=\"Calculate the number of coins the adventurer wins based on the riddle's conditions.\", assumptions=['The adventurer correctly flipped the coins in his pile.', 'The total number of face-down coins in both piles must be equal for the adventurer to win.'], steps=[PlanStep(id='s1', goal=\"Determine the number of face-down coins in the adventurer's pile after flipping.\", tool='safe_code_run', inputs=\"Initial face-down coins in the larger pile (14) and the number of coins in the adventurer's pile (30).\", expected_result=\"Calculate the number of face-down coins in the adventurer's pile after flipping.\", on_fail='replan'), PlanStep(id='s2', goal='Calculate the total number of coins the adventurer wins based on the face-down coins in his pile.', tool='safe_code_run', inputs=\"Number of face-down coins in the adventurer's pile from step 1.\", expected_result='Determine the total coins won by the adventurer using the formula: 2 * (number of face-down coins).', on_fail='replan'), PlanStep(id='s3', goal=\"Verify if both piles have the same number of face-down coins to confirm the adventurer's success.\", tool='safe_code_run', inputs=\"Face-down coins in the adventurer's pile and the other pile.\", expected_result='Confirm if the number of face-down coins in both piles is equal.', on_fail='replan')], answer_guidelines='Provide the final number of coins won by the adventurer, with no additional text.'),\n",
" 'complexity_assessment': ComplexityLevel(level='simple', reasoning='This is a single logical puzzle solvable with basic reasoning and one small calculation. No external tools or multi-step data processing are required — just define a variable for the number of face-down coins removed, write a simple equality showing that flipping the removed 30 makes the face-down counts equal, and solve.', needs_planning=False, suggested_approach='Let x = number of face-down coins among the 30 removed. After flipping, your pile has (30 - x) face-down; the remaining pile has (initial 30 - x) face-down as well. Solve (30 - x) = observed count (14) to find x and the reward. No detailed planning or tools needed.'),\n",
" 'current_step': 3,\n",
" 'reasoning_done': False,\n",
" 'files': [],\n",
" 'critique_feedback': CritiqueFeedback(quality_score=8, is_complete=True, is_accurate=True, missing_elements=[], errors_found=[], suggested_improvements=['Consider providing more detailed explanations of the logic behind the calculations for clarity.', \"Include a brief summary of the riddle's context to enhance understanding.\"], needs_replanning=False, replan_instructions=None),\n",
" 'iteration_count': 2,\n",
" 'max_iterations': 10,\n",
" 'execution_report': ExecutionReport(query_summary='Determine whether the adventurer succeeded in the coin-splitting riddle and, if so, compute how many gold coins he won given that he removed 30 coins, flipped them in the dark, and the remaining (larger) pile contained 14 face-down coins.', approach_used=\"Logical reasoning based on invariant counting: let x be the number of face-down coins among the 30 removed. Flipping those 30 makes (30 - x) face-down in the adventurer's pile. Use the provided information that the other pile contains 14 face-down coins to solve for x and compute the reward as 2 times the number of face-down coins in the adventurer's pile.\", tools_executed=[ToolExecution(tool_name='safe_code_run', arguments=\"# Compute the adventurer's reward based on puzzle logic\\n# Let x = number of face-down coins among the 30 removed originally\\n# After flipping, adventurer_face_down = 30 - x\\n# We're told the larger pile contains 14 face-down coins, which equals 30 - x\\n# So adventurer_face_down = 14, reward = 2 * adventurer_face_down\\nx = 30 - 14 # original face-down among removed 30\\nadventurer_face_down = 30 - x\\nreward = 2 * adventurer_face_down\\nprint(adventurer_face_down)\\nprint(reward)\\nresult = reward\", call_id='call_JE8J5OpsNIA406LhaZA1IA8q'), ToolExecution(tool_name='safe_code_run', arguments=\"# Step 2: compute reward given that adventurer's pile has 14 face-down coins\\nadventurer_face_down = 14\\nreward = 2 * adventurer_face_down\\nprint(reward)\\nresult = reward\", call_id='call_smOmBhqF93IYbhubjgMb1lcr'), ToolExecution(tool_name='safe_code_run', arguments='adventurer_face_down = 14\\nother_pile_face_down = 14\\nequality = adventurer_face_down == other_pile_face_down\\nprint(f\"Adventurer face-down: {adventurer_face_down}\")\\nprint(f\"Other pile face-down: {other_pile_face_down}\")\\nprint(f\"Equality: {equality}\")\\nresult = {\"adventurer\": adventurer_face_down, \"other\": other_pile_face_down, \"equal\": equality}', call_id='call_pgfwSXj04EEuOdp6gr833jQu')], key_findings=[\"If x is the number of face-down coins among the 30 removed, after flipping the adventurer's pile has 30 - x face-down coins.\", \"Given the larger pile has 14 face-down coins, 30 - x = 14, so the adventurer's pile contains 14 face-down coins after flipping.\", \"Both piles therefore contain the same number of face-down coins (14), satisfying the trap's equality condition.\", \"The reward is 2 gold coins per face-down coin in the adventurer's pile: 2 * 14 = 28.\"], data_sources=['Riddle text provided in the query (problem description and given numbers).', 'Intermediate computations executed via safe_code_run (tool outputs).'], assumptions_made=['The adventurer correctly removed exactly 30 coins and flipped each of them (invert their orientations).', \"The 'larger pile contains 14 face-down coins' statement in the riddle is accurate and refers to the other pile after the flip.\", 'No additional trick rules (e.g., coin indistinguishability beyond orientation) alter the standard flipping/inversion logic.'], confidence_level='high', limitations=['Solution relies entirely on the numeric statements in the puzzle; if any provided numbers were misstated, the result would change.', 'Assumes flipping simply inverts face-up/face-down counts with no other side-effects (valid for standard coins).'], final_answer='28'),\n",
" 'previous_tool_results': {}}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#TO-DO\n",
"#1. Check routing with REPLANNER -> может придумывать несуществующие инструменты -> PARTIALLY COMPLETED\n",
"#2. Add crawling tool \n",
"#3. Enhance description of coder tool and прописать более четко в промпте важность вывода через print() или return или result/_ -> COMPLETED?\n",
"#4. Смягчить критика COMPLETED\n",
"#5. tool-choice"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"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": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|