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market-feasibility-analysis-chatbot
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1 Parent(s): a7abe3e

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Files changed (5) hide show
  1. QA_sample.ipynb +4 -1
  2. chatbot_multiagent.ipynb +177 -138
  3. prompt.py +4 -5
  4. testsets/QA_smaple.txt +231 -290
  5. tools.py +1 -0
QA_sample.ipynb CHANGED
@@ -40,7 +40,10 @@
40
  "name": "stdout",
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  "output_type": "stream",
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  "text": [
43
- "average execution time: 22.575254702568053sec.\n"
 
 
 
44
  ]
45
  }
46
  ],
 
40
  "name": "stdout",
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  "output_type": "stream",
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  "text": [
43
+ "household expenditures in Khu Bon\n",
44
+ "The Croissant Corner bakery prices in Chatuchak Market\n",
45
+ "number of rooms in hotels in Thonglor\n",
46
+ "average execution time: 21.165069699287415sec.\n"
47
  ]
48
  }
49
  ],
chatbot_multiagent.ipynb CHANGED
@@ -2,7 +2,7 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
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- "execution_count": 2,
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  "metadata": {},
7
  "outputs": [],
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  "source": [
@@ -15,7 +15,7 @@
15
  },
16
  {
17
  "cell_type": "code",
18
- "execution_count": 3,
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  "metadata": {},
20
  "outputs": [],
21
  "source": [
@@ -27,7 +27,7 @@
27
  },
28
  {
29
  "cell_type": "code",
30
- "execution_count": 4,
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  "metadata": {},
32
  "outputs": [],
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  "source": [
@@ -201,7 +201,7 @@
201
  },
202
  {
203
  "cell_type": "code",
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- "execution_count": 5,
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  "metadata": {},
206
  "outputs": [],
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  "source": [
@@ -216,7 +216,7 @@
216
  },
217
  {
218
  "cell_type": "code",
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- "execution_count": 8,
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  "metadata": {},
221
  "outputs": [
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  {
@@ -226,211 +226,209 @@
226
  "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
227
  "Name: analyst\n",
228
  "Tool Calls:\n",
229
- " find_place_from_text (call_GYUgNNbPxdxKpJI5gxtUjdF0)\n",
230
- " Call ID: call_GYUgNNbPxdxKpJI5gxtUjdF0\n",
231
- " Args:\n",
232
- " location: ทองหล่อ\n",
233
- " search_population_community_household_expenditures_data (call_9QJBdwVh2bUtTlsshuftteDa)\n",
234
- " Call ID: call_9QJBdwVh2bUtTlsshuftteDa\n",
235
  " Args:\n",
236
- " query: โรงแรม ทองหล่อ\n",
237
- "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
238
- "Name: find_place_from_text\n",
239
- "\n",
240
- "\n",
241
- " address: ถ. ทองหล่อ กรุงเทพมหานคร ประเทศไทย\n",
242
- "\n",
243
- " location: {'lat': 13.7424537, 'lng': 100.5854359}\n",
244
- "\n",
245
- " location_name: ถ. ทองหล่อ\n",
246
- "\n",
247
- " \n",
248
- "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
249
- "Name: analyst\n",
250
- "\n",
251
- "I have gathered some initial data regarding hotels in the Thonglor area. Here are the details:\n",
252
- "\n",
253
- "1. **Location**: Thonglor, Bangkok\n",
254
- " - Latitude: 13.7424537\n",
255
- " - Longitude: 100.5854359\n",
256
- "\n",
257
- "2. **Hotel Business Analysis**:\n",
258
- " - The data indicates various aspects of hotel operations in the area, including occupancy rates and trends over the years. However, the specific figures and trends were not fully extracted in the previous search.\n",
259
- "\n",
260
- "To further analyze the hotel business in Thonglor, I recommend looking into the following aspects:\n",
261
- "- **Occupancy Rates**: Historical data on how many rooms are filled over time.\n",
262
- "- **Average Daily Rate (ADR)**: The average revenue earned for an occupied room.\n",
263
- "- **Revenue Per Available Room (RevPAR)**: A key performance metric in the hotel industry.\n",
264
- "- **Market Trends**: Insights into the competitive landscape and customer preferences.\n",
265
- "\n",
266
- "Would you like me to search for specific data on occupancy rates, ADR, or any other particular aspect of the hotel business in Thonglor?\n",
267
- "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
268
- "Name: data_collector\n",
269
- "Tool Calls:\n",
270
- " nearby_search (call_Gztb2XtVgwFG8CizWFDfDjQW)\n",
271
- " Call ID: call_Gztb2XtVgwFG8CizWFDfDjQW\n",
272
- " Args:\n",
273
- " input_dict: {'keyword': 'hotel', 'location_name': 'Thonglor', 'radius': 1000, 'place_type': 'hotel'}\n",
274
- " google_search (call_cyycO0Dy4mP0jwTg1LfsoPoy)\n",
275
- " Call ID: call_cyycO0Dy4mP0jwTg1LfsoPoy\n",
276
- " Args:\n",
277
- " input_dict: {'keyword': 'number of rooms in hotels in Thonglor'}\n",
278
- " search_population_community_household_expenditures_data (call_v1FAVlUjTAzWFL0bRZueuGY7)\n",
279
- " Call ID: call_v1FAVlUjTAzWFL0bRZueuGY7\n",
280
- " Args:\n",
281
- " query: Thonglor\n",
282
  "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
283
  "Name: nearby_search\n",
284
  "\n",
285
  "number of results: 21\n",
286
  "\n",
287
- " **Metropole Bangkok**\n",
288
  "\n",
289
- " address: 2802 Thong Lo, Bang Kapi, Huai Khwang\n",
290
  "\n",
291
- " rating: 4.1\n",
292
  "\n",
293
  "\n",
294
  " \n",
295
- " **Mövenpick Ekkamai Bangkok**\n",
296
  "\n",
297
- " address: 559 Sukhumvit 63, Khlong Tan Nuea, Watthana\n",
298
  "\n",
299
- " rating: 4.4\n",
300
  "\n",
301
  "\n",
302
  " \n",
303
- " **Nice Residence Hotel @Ekamai 14**\n",
304
  "\n",
305
- " address: 8 ถนน สุขุมวิท Khlong Tan Nuea, Watthana\n",
306
  "\n",
307
- " rating: 4.1\n",
308
  "\n",
309
  "\n",
310
  " \n",
311
- " **Maitria Hotel Rama 9 Bangkok**\n",
312
  "\n",
313
- " address: 908 Khlong Samsen Rd, Bang Kapi, Huai Khwang\n",
314
  "\n",
315
- " rating: 4.3\n",
316
  "\n",
317
  "\n",
318
  " \n",
319
- " **Ashley Hotel BKK**\n",
320
  "\n",
321
- " address: 138 Sukhumvit 53 Alley, Khlong Tan Nuea, Watthana\n",
322
  "\n",
323
- " rating: 4.7\n",
324
  "\n",
325
  "\n",
326
  " \n",
327
- " **The Residence on Thonglor by UHG**\n",
328
  "\n",
329
- " address: 73 Thong Lo, Khlong Tan Nuea, Watthana\n",
330
  "\n",
331
- " rating: 4.1\n",
332
  "\n",
333
  "\n",
334
  " \n",
335
- " **Chiva Bangkok Hotel**\n",
336
  "\n",
337
- " address: 39/1 Soi Soonvijai 7 New Petchburi Road Soi 47, Bangkapi, Huay Kwang\n",
338
  "\n",
339
- " rating: 3.9\n",
340
  "\n",
341
  "\n",
342
  " \n",
343
- " **Montana Hotel & Residence**\n",
344
  "\n",
345
- " address: 1 Sun Wichai 14 Alley, Khwaeng Bang Kapi, Huai Khwang\n",
346
  "\n",
347
- " rating: 4.3\n",
348
  "\n",
349
  "\n",
350
  " \n",
351
- " **Holiday Inn Express Bangkok Soi Soonvijai, an IHG Hotel**\n",
352
  "\n",
353
- " address: 19 Soi Phetchaburi 47, Khwaeng Bang Kapi, Bangkapi\n",
354
  "\n",
355
  " rating: 4.3\n",
356
  "\n",
357
  "\n",
358
  " \n",
359
- " **OB-OON Boutique Hotel & Café**\n",
360
  "\n",
361
- " address: 12/13 ถนน สุขุมวิท ซอย 49/6 Khlong Tan Nuea, Watthana\n",
362
  "\n",
363
- " rating: 4.3\n",
364
  "\n",
365
  "\n",
366
  " \n",
367
  "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
368
- "Name: data_collector\n",
369
- "\n",
370
- "Here is the detailed analysis of the hotel business in the Thonglor area:\n",
371
  "\n",
372
- "### Nearby Hotels in Thonglor\n",
373
- "1. **Metropole Bangkok**\n",
374
- " - Address: 2802 Thong Lo, Bang Kapi, Huai Khwang\n",
375
- " - Rating: 4.1\n",
376
  "\n",
377
- "2. **Mövenpick Ekkamai Bangkok**\n",
378
- " - Address: 559 Sukhumvit 63, Khlong Tan Nuea, Watthana\n",
379
- " - Rating: 4.4\n",
380
  "\n",
381
- "3. **Nice Residence Hotel @Ekamai 14**\n",
382
- " - Address: 8 Thonglor 19, Khlong Tan Nuea, Watthana\n",
383
- " - Rating: 4.1\n",
384
  "\n",
385
- "4. **Maitria Hotel Rama 9 Bangkok**\n",
386
- " - Address: 908 Khlong Samsen Rd, Bang Kapi, Huai Khwang\n",
387
  " - Rating: 4.3\n",
388
  "\n",
389
- "5. **Ashley Hotel BKK**\n",
390
- " - Address: 138 Sukhumvit 53 Alley, Khlong Tan Nuea, Watthana\n",
391
- " - Rating: 4.7\n",
392
- "\n",
393
- "6. **The Residence on Thonglor by UHG**\n",
394
- " - Address: 73 Thong Lo, Khlong Tan Nuea, Watthana\n",
395
- " - Rating: 4.1\n",
396
  "\n",
397
- "7. **Chiva Bangkok Hotel**\n",
398
- " - Address: 39/1 Soi Soonvijai 7 New Petchburi Road Soi 47, Bangkapi, Huay Kwang\n",
399
- " - Rating: 3.9\n",
400
  "\n",
401
- "8. **Montana Hotel & Residence**\n",
402
- " - Address: 1 Sun Wichai 14 Alley, Khwaeng Bang Kapi, Huai Khwang\n",
403
- " - Rating: 4.3\n",
404
  "\n",
405
- "9. **Holiday Inn Express Bangkok Soi Soonvijai, an IHG Hotel**\n",
406
- " - Address: 19 Soi Phetchaburi 47, Khwaeng Bang Kapi, Bangkapi\n",
407
- " - Rating: 4.3\n",
408
  "\n",
409
- "10. **OB-OON Boutique Hotel & Café**\n",
410
- " - Address: 12/13 Thonglor 19, Khlong Tan Nuea, Watthana\n",
411
- " - Rating: 4.3\n",
412
  "\n",
413
- "### Number of Rooms in Hotels\n",
414
- "- The search for the number of rooms in hotels in Thonglor yielded various results, but specific numbers were not consistently available. However, it is common for hotels in this area to have between 20 to 300 rooms, depending on the size and type of the hotel.\n",
415
- "\n",
416
- "### Population and Community Data\n",
417
- "- **Population**: The population in the Thonglor area is approximately 45,000 residents.\n",
418
- "- **Community Type**: Thonglor is known as an upscale urban community with a mix of residential and commercial properties.\n",
419
- "- **Household Expenditures**: The average household expenditure in this area is around 39,000 THB per month, reflecting the affluent nature of the community.\n",
420
  "\n",
421
- "### Summary\n",
422
- "Thonglor is a vibrant area with a variety of hotels catering to different market segments. The competitive landscape includes both high-end and boutique hotels, with ratings generally above 4.0. The community is affluent, with significant household expenditures, making it an attractive location for hotel businesses.\n",
 
423
  "\n",
424
- "If you need more specific data or further analysis, please let me know!\n",
425
  "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
426
- "Name: reporter\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
427
  "\n",
428
- "%SIjfE923hf\n"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
429
  ]
430
  }
431
  ],
432
  "source": [
433
- "question = \"วิเคราะห์ธุรกิจโรงแรมแถวทองหล่อ\"\n",
434
  "\n",
435
  "graph = workflow.compile()\n",
436
  "\n",
@@ -443,7 +441,7 @@
443
  " ],\n",
444
  " },\n",
445
  " # Maximum number of steps to take in the graph\n",
446
- " {\"recursion_limit\": 20},\n",
447
  ")\n",
448
  "for s in events:\n",
449
  " # print(s)\n",
@@ -453,9 +451,50 @@
453
  },
454
  {
455
  "cell_type": "code",
456
- "execution_count": 7,
457
  "metadata": {},
458
- "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
459
  "source": [
460
  "def submitUserMessage(user_input: str) -> str:\n",
461
  " graph = workflow.compile()\n",
@@ -481,8 +520,8 @@
481
  " return response\n",
482
  "\n",
483
  "\n",
484
- "# question = \"วิเคราะห์ร้านอาหารแถวลุมพินี เซ็นเตอร์ ลาดพร้าว\"\n",
485
- "# submitUserMessage(question)"
486
  ]
487
  }
488
  ],
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": 1,
6
  "metadata": {},
7
  "outputs": [],
8
  "source": [
 
15
  },
16
  {
17
  "cell_type": "code",
18
+ "execution_count": 2,
19
  "metadata": {},
20
  "outputs": [],
21
  "source": [
 
27
  },
28
  {
29
  "cell_type": "code",
30
+ "execution_count": 3,
31
  "metadata": {},
32
  "outputs": [],
33
  "source": [
 
201
  },
202
  {
203
  "cell_type": "code",
204
+ "execution_count": 4,
205
  "metadata": {},
206
  "outputs": [],
207
  "source": [
 
216
  },
217
  {
218
  "cell_type": "code",
219
+ "execution_count": 5,
220
  "metadata": {},
221
  "outputs": [
222
  {
 
226
  "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
227
  "Name: analyst\n",
228
  "Tool Calls:\n",
229
+ " nearby_search (call_VZAbNqciEPbtqJOjzxvQenMb)\n",
230
+ " Call ID: call_VZAbNqciEPbtqJOjzxvQenMb\n",
 
 
 
 
231
  " Args:\n",
232
+ " input_dict: {'keyword': 'hotel', 'location_name': 'mbk center', 'radius': 1000, 'place_type': 'hotel'}\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
233
  "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
234
  "Name: nearby_search\n",
235
  "\n",
236
  "number of results: 21\n",
237
  "\n",
238
+ " **The Twin Towers Hotel**\n",
239
  "\n",
240
+ " address: 88 ถ.พระราม 6 ตัดใหม่ Rong Muang, Pathum Wan\n",
241
  "\n",
242
+ " rating: 4\n",
243
  "\n",
244
  "\n",
245
  " \n",
246
+ " **Muangphol Mansion**\n",
247
  "\n",
248
+ " address: 8, 931 Rama I Rd, Wang Mai, Pathum Wan\n",
249
  "\n",
250
+ " rating: 3.3\n",
251
  "\n",
252
  "\n",
253
  " \n",
254
+ " **Lub d Bangkok Siam**\n",
255
  "\n",
256
+ " address: 925, 9 Rama I Rd, Wang Mai, Pathum Wan\n",
257
  "\n",
258
+ " rating: 4.3\n",
259
  "\n",
260
  "\n",
261
  " \n",
262
+ " **ไอบิส กรุงเทพ สยาม**\n",
263
  "\n",
264
+ " address: 927 Rama I Rd, Wangmai, Pathum Wan\n",
265
  "\n",
266
+ " rating: 4.4\n",
267
  "\n",
268
  "\n",
269
  " \n",
270
+ " **HOUSE OF PAPA BANGKOK SIAM**\n",
271
  "\n",
272
+ " address: 188/44, Soi Chula 16, Wang Mai, Pathum Wan\n",
273
  "\n",
274
+ " rating: 4.2\n",
275
  "\n",
276
  "\n",
277
  " \n",
278
+ " **The Residence Ratchathewi**\n",
279
  "\n",
280
+ " address: 588/1 Phetchaburi Rd, Khwaeng Thanon Phetchaburi, Ratchathewi\n",
281
  "\n",
282
+ " rating: 3.8\n",
283
  "\n",
284
  "\n",
285
  " \n",
286
+ " **Pathumwan Princess Hotel**\n",
287
  "\n",
288
+ " address: 444 Phaya Thai Rd, Wang Mai, Pathum Wan\n",
289
  "\n",
290
+ " rating: 4.5\n",
291
  "\n",
292
  "\n",
293
  " \n",
294
+ " **Sovereign Group Hotel Pratu Nam**\n",
295
  "\n",
296
+ " address: 640 63-66 Phetchaburi 22 Alley, Thanon Phetchaburi, Ratchathewi\n",
297
  "\n",
298
+ " rating: 4.2\n",
299
  "\n",
300
  "\n",
301
  " \n",
302
+ " **The Quarter Ratchathewi by UHG**\n",
303
  "\n",
304
+ " address: 388 Phetchaburi Rd, Thanon Phetchaburi, Ratchathewi\n",
305
  "\n",
306
  " rating: 4.3\n",
307
  "\n",
308
  "\n",
309
  " \n",
310
+ " **Ozone**\n",
311
  "\n",
312
+ " address: 120 Soi Chulalongkorn 5, Wang Mai, Pathum Wan\n",
313
  "\n",
314
+ " rating: 3.3\n",
315
  "\n",
316
  "\n",
317
  " \n",
318
  "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
319
+ "Name: analyst\n",
 
 
320
  "\n",
321
+ "Here are some hotels near MBK Center:\n",
 
 
 
322
  "\n",
323
+ "1. **The Twin Towers Hotel**\n",
324
+ " - Address: 88 ถ.พระราม 6 ตัดใหม่ Rong Muang, Pathum Wan\n",
325
+ " - Rating: 4.0\n",
326
  "\n",
327
+ "2. **Muangphol Mansion**\n",
328
+ " - Address: 8, 931 Rama I Rd, Wang Mai, Pathum Wan\n",
329
+ " - Rating: 3.3\n",
330
  "\n",
331
+ "3. **Lub d Bangkok Siam**\n",
332
+ " - Address: 925, 9 Rama I Rd, Wang Mai, Pathum Wan\n",
333
  " - Rating: 4.3\n",
334
  "\n",
335
+ "4. **Ibis Bangkok Siam**\n",
336
+ " - Address: 927 Rama I Rd, Wangmai, Pathum Wan\n",
337
+ " - Rating: 4.4\n",
 
 
 
 
338
  "\n",
339
+ "5. **House of Papa Bangkok Siam**\n",
340
+ " - Address: 188/44, Soi Chula 16, Wang Mai, Pathum Wan\n",
341
+ " - Rating: 4.2\n",
342
  "\n",
343
+ "6. **The Residence Ratchathewi**\n",
344
+ " - Address: 588/1 Phetchaburi Rd, Khwaeng Thanon Phetchaburi, Ratchathewi\n",
345
+ " - Rating: 3.8\n",
346
  "\n",
347
+ "7. **Pathumwan Princess Hotel**\n",
348
+ " - Address: 444 Phaya Thai Rd, Wang Mai, Pathum Wan\n",
349
+ " - Rating: 4.5\n",
350
  "\n",
351
+ "8. **Sovereign Group Hotel Pratu Nam**\n",
352
+ " - Address: 640 63-66 Phetchaburi 22 Alley, Thanon Phetchaburi, Ratchathewi\n",
353
+ " - Rating: 4.2\n",
354
  "\n",
355
+ "9. **The Quarter Ratchathewi by UHG**\n",
356
+ " - Address: 388 Phetchaburi Rd, Thanon Phetchaburi, Ratchathewi\n",
357
+ " - Rating: 4.3\n",
 
 
 
 
358
  "\n",
359
+ "10. **Ozone**\n",
360
+ " - Address: 120 Soi Chulalongkorn 5, Wang Mai, Pathum Wan\n",
361
+ " - Rating: 3.3\n",
362
  "\n",
363
+ "If you need more information or assistance, feel free to ask!\n",
364
  "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
365
+ "Name: data_collector\n",
366
+ "Tool Calls:\n",
367
+ " google_search (call_bbQCWtAcwhQRT7AqK8rWyjth)\n",
368
+ " Call ID: call_bbQCWtAcwhQRT7AqK8rWyjth\n",
369
+ " Args:\n",
370
+ " keyword: number of rooms The Twin Towers Hotel in Bangkok\n",
371
+ " google_search (call_KoiYpyp3I6vejjBKUG6176FF)\n",
372
+ " Call ID: call_KoiYpyp3I6vejjBKUG6176FF\n",
373
+ " Args:\n",
374
+ " keyword: number of rooms Muangphol Mansion in Bangkok\n",
375
+ " google_search (call_AqhfPAqhyR6sR9hoDZiDupqj)\n",
376
+ " Call ID: call_AqhfPAqhyR6sR9hoDZiDupqj\n",
377
+ " Args:\n",
378
+ " keyword: number of rooms Lub d Bangkok Siam in Bangkok\n",
379
+ " google_search (call_ts22Dsnje86zHiKR40MRS6fi)\n",
380
+ " Call ID: call_ts22Dsnje86zHiKR40MRS6fi\n",
381
+ " Args:\n",
382
+ " keyword: number of rooms Ibis Bangkok Siam in Bangkok\n",
383
+ " google_search (call_DdmDj7RzgQfIEQex83NA62aK)\n",
384
+ " Call ID: call_DdmDj7RzgQfIEQex83NA62aK\n",
385
+ " Args:\n",
386
+ " keyword: number of rooms House of Papa Bangkok Siam in Bangkok\n",
387
+ " google_search (call_NnLfbeqwzbVUqr5citWALxhe)\n",
388
+ " Call ID: call_NnLfbeqwzbVUqr5citWALxhe\n",
389
+ " Args:\n",
390
+ " keyword: number of rooms The Residence Ratchathewi in Bangkok\n",
391
+ " google_search (call_TY02MUuyR0H4Sbzti16sR6ca)\n",
392
+ " Call ID: call_TY02MUuyR0H4Sbzti16sR6ca\n",
393
+ " Args:\n",
394
+ " keyword: number of rooms Pathumwan Princess Hotel in Bangkok\n",
395
+ " google_search (call_N38LSXXiUKMLrcTFOqSiQ93R)\n",
396
+ " Call ID: call_N38LSXXiUKMLrcTFOqSiQ93R\n",
397
+ " Args:\n",
398
+ " keyword: number of rooms Sovereign Group Hotel Pratu Nam in Bangkok\n",
399
+ " google_search (call_sv2brZBnLucKdXaCYpEDCKTv)\n",
400
+ " Call ID: call_sv2brZBnLucKdXaCYpEDCKTv\n",
401
+ " Args:\n",
402
+ " keyword: number of rooms The Quarter Ratchathewi by UHG in Bangkok\n",
403
+ " google_search (call_9LFbOlZi1aAbpIsZjX1NYxXe)\n",
404
+ " Call ID: call_9LFbOlZi1aAbpIsZjX1NYxXe\n",
405
+ " Args:\n",
406
+ " keyword: number of rooms Ozone in Bangkok\n",
407
+ "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
408
+ "Name: google_search\n",
409
  "\n",
410
+ "Error: ValidationError(model='google_searchSchema', errors=[{'loc': ('input_dict',), 'msg': 'field required', 'type': 'value_error.missing'}])\n",
411
+ " Please fix your mistakes.\n"
412
+ ]
413
+ },
414
+ {
415
+ "ename": "KeyboardInterrupt",
416
+ "evalue": "",
417
+ "output_type": "error",
418
+ "traceback": [
419
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
420
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
421
+ "Cell \u001b[0;32mIn[5], line 16\u001b[0m\n\u001b[1;32m 3\u001b[0m graph \u001b[38;5;241m=\u001b[39m workflow\u001b[38;5;241m.\u001b[39mcompile()\n\u001b[1;32m 5\u001b[0m events \u001b[38;5;241m=\u001b[39m graph\u001b[38;5;241m.\u001b[39mstream(\n\u001b[1;32m 6\u001b[0m {\n\u001b[1;32m 7\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m: [\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 14\u001b[0m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrecursion_limit\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m50\u001b[39m},\n\u001b[1;32m 15\u001b[0m )\n\u001b[0;32m---> 16\u001b[0m \u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43ms\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mevents\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m 17\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# print(s)\u001b[39;49;00m\n\u001b[1;32m 18\u001b[0m \u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43ms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[1;32m 19\u001b[0m \u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mmessages\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpretty_print\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
422
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langgraph/pregel/__init__.py:976\u001b[0m, in \u001b[0;36mPregel.stream\u001b[0;34m(self, input, config, stream_mode, output_keys, interrupt_before, interrupt_after, debug)\u001b[0m\n\u001b[1;32m 974\u001b[0m done, inflight \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(), \u001b[38;5;28mset\u001b[39m()\n\u001b[1;32m 975\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m futures:\n\u001b[0;32m--> 976\u001b[0m done, inflight \u001b[38;5;241m=\u001b[39m \u001b[43mconcurrent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfutures\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 977\u001b[0m \u001b[43m \u001b[49m\u001b[43mfutures\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 978\u001b[0m \u001b[43m \u001b[49m\u001b[43mreturn_when\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconcurrent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfutures\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mFIRST_COMPLETED\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 979\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 980\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mmax\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend_time\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mtime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmonotonic\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 981\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mend_time\u001b[49m\n\u001b[1;32m 982\u001b[0m \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\n\u001b[1;32m 983\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 984\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 985\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m done:\n\u001b[1;32m 986\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m \u001b[38;5;66;03m# timed out\u001b[39;00m\n",
423
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py:305\u001b[0m, in \u001b[0;36mwait\u001b[0;34m(fs, timeout, return_when)\u001b[0m\n\u001b[1;32m 301\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m DoneAndNotDoneFutures(done, not_done)\n\u001b[1;32m 303\u001b[0m waiter \u001b[38;5;241m=\u001b[39m _create_and_install_waiters(fs, return_when)\n\u001b[0;32m--> 305\u001b[0m \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mevent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 306\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m f \u001b[38;5;129;01min\u001b[39;00m fs:\n\u001b[1;32m 307\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m f\u001b[38;5;241m.\u001b[39m_condition:\n",
424
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/threading.py:629\u001b[0m, in \u001b[0;36mEvent.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 627\u001b[0m signaled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flag\n\u001b[1;32m 628\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m signaled:\n\u001b[0;32m--> 629\u001b[0m signaled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cond\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 630\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m signaled\n",
425
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/threading.py:327\u001b[0m, in \u001b[0;36mCondition.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 325\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m: \u001b[38;5;66;03m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[39;00m\n\u001b[1;32m 326\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 327\u001b[0m \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 328\u001b[0m gotit \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 329\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
426
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
427
  ]
428
  }
429
  ],
430
  "source": [
431
+ "question = \"hotel near mbk center\"\n",
432
  "\n",
433
  "graph = workflow.compile()\n",
434
  "\n",
 
441
  " ],\n",
442
  " },\n",
443
  " # Maximum number of steps to take in the graph\n",
444
+ " {\"recursion_limit\": 50},\n",
445
  ")\n",
446
  "for s in events:\n",
447
  " # print(s)\n",
 
451
  },
452
  {
453
  "cell_type": "code",
454
+ "execution_count": 4,
455
  "metadata": {},
456
+ "outputs": [
457
+ {
458
+ "ename": "InternalServerError",
459
+ "evalue": "Error code: 500 - {'error': {'message': 'The model produced invalid content. Consider modifying your prompt if you are seeing this error persistently.', 'type': 'model_error', 'param': None, 'code': None}}",
460
+ "output_type": "error",
461
+ "traceback": [
462
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
463
+ "\u001b[0;31mInternalServerError\u001b[0m Traceback (most recent call last)",
464
+ "Cell \u001b[0;32mIn[4], line 26\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m response\n\u001b[1;32m 25\u001b[0m question \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhotel near mbk center\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 26\u001b[0m \u001b[43msubmitUserMessage\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquestion\u001b[49m\u001b[43m)\u001b[49m\n",
465
+ "Cell \u001b[0;32mIn[4], line 16\u001b[0m, in \u001b[0;36msubmitUserMessage\u001b[0;34m(user_input)\u001b[0m\n\u001b[1;32m 2\u001b[0m graph \u001b[38;5;241m=\u001b[39m workflow\u001b[38;5;241m.\u001b[39mcompile()\n\u001b[1;32m 4\u001b[0m events \u001b[38;5;241m=\u001b[39m graph\u001b[38;5;241m.\u001b[39mstream(\n\u001b[1;32m 5\u001b[0m {\n\u001b[1;32m 6\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m: [\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 13\u001b[0m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrecursion_limit\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m20\u001b[39m},\n\u001b[1;32m 14\u001b[0m )\n\u001b[0;32m---> 16\u001b[0m events \u001b[38;5;241m=\u001b[39m \u001b[43m[\u001b[49m\u001b[43me\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43me\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mevents\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 18\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(events[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues())[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 19\u001b[0m response \u001b[38;5;241m=\u001b[39m response\u001b[38;5;241m.\u001b[39mcontent\n",
466
+ "Cell \u001b[0;32mIn[4], line 16\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 2\u001b[0m graph \u001b[38;5;241m=\u001b[39m workflow\u001b[38;5;241m.\u001b[39mcompile()\n\u001b[1;32m 4\u001b[0m events \u001b[38;5;241m=\u001b[39m graph\u001b[38;5;241m.\u001b[39mstream(\n\u001b[1;32m 5\u001b[0m {\n\u001b[1;32m 6\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m: [\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 13\u001b[0m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrecursion_limit\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m20\u001b[39m},\n\u001b[1;32m 14\u001b[0m )\n\u001b[0;32m---> 16\u001b[0m events \u001b[38;5;241m=\u001b[39m \u001b[43m[\u001b[49m\u001b[43me\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43me\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mevents\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 18\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(events[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues())[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 19\u001b[0m response \u001b[38;5;241m=\u001b[39m response\u001b[38;5;241m.\u001b[39mcontent\n",
467
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langgraph/pregel/__init__.py:1018\u001b[0m, in \u001b[0;36mPregel.stream\u001b[0;34m(self, input, config, stream_mode, output_keys, interrupt_before, interrupt_after, debug)\u001b[0m\n\u001b[1;32m 1015\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m fut, task\n\u001b[1;32m 1017\u001b[0m \u001b[38;5;66;03m# panic on failure or timeout\u001b[39;00m\n\u001b[0;32m-> 1018\u001b[0m \u001b[43m_panic_or_proceed\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdone\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minflight\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mloop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1019\u001b[0m \u001b[38;5;66;03m# don't keep futures around in memory longer than needed\u001b[39;00m\n\u001b[1;32m 1020\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m done, inflight, futures\n",
468
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langgraph/pregel/__init__.py:1419\u001b[0m, in \u001b[0;36m_panic_or_proceed\u001b[0;34m(done, inflight, step, timeout_exc_cls)\u001b[0m\n\u001b[1;32m 1417\u001b[0m inflight\u001b[38;5;241m.\u001b[39mpop()\u001b[38;5;241m.\u001b[39mcancel()\n\u001b[1;32m 1418\u001b[0m \u001b[38;5;66;03m# raise the exception\u001b[39;00m\n\u001b[0;32m-> 1419\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[1;32m 1421\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m inflight:\n\u001b[1;32m 1422\u001b[0m \u001b[38;5;66;03m# if we got here means we timed out\u001b[39;00m\n\u001b[1;32m 1423\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m inflight:\n\u001b[1;32m 1424\u001b[0m \u001b[38;5;66;03m# cancel all pending tasks\u001b[39;00m\n",
469
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langgraph/pregel/executor.py:60\u001b[0m, in \u001b[0;36mBackgroundExecutor.done\u001b[0;34m(self, task)\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdone\u001b[39m(\u001b[38;5;28mself\u001b[39m, task: concurrent\u001b[38;5;241m.\u001b[39mfutures\u001b[38;5;241m.\u001b[39mFuture) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 59\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 60\u001b[0m \u001b[43mtask\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 61\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m GraphInterrupt:\n\u001b[1;32m 62\u001b[0m \u001b[38;5;66;03m# This exception is an interruption signal, not an error\u001b[39;00m\n\u001b[1;32m 63\u001b[0m \u001b[38;5;66;03m# so we don't want to re-raise it on exit\u001b[39;00m\n\u001b[1;32m 64\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtasks\u001b[38;5;241m.\u001b[39mpop(task)\n",
470
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py:449\u001b[0m, in \u001b[0;36mFuture.result\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 447\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m CancelledError()\n\u001b[1;32m 448\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;241m==\u001b[39m FINISHED:\n\u001b[0;32m--> 449\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__get_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_condition\u001b[38;5;241m.\u001b[39mwait(timeout)\n\u001b[1;32m 453\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_state \u001b[38;5;129;01min\u001b[39;00m [CANCELLED, CANCELLED_AND_NOTIFIED]:\n",
471
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py:401\u001b[0m, in \u001b[0;36mFuture.__get_result\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 399\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception:\n\u001b[1;32m 400\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 401\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception\n\u001b[1;32m 402\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 403\u001b[0m \u001b[38;5;66;03m# Break a reference cycle with the exception in self._exception\u001b[39;00m\n\u001b[1;32m 404\u001b[0m \u001b[38;5;28mself\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
472
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/thread.py:58\u001b[0m, in \u001b[0;36m_WorkItem.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 58\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 59\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[1;32m 60\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfuture\u001b[38;5;241m.\u001b[39mset_exception(exc)\n",
473
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langgraph/pregel/retry.py:25\u001b[0m, in \u001b[0;36mrun_with_retry\u001b[0;34m(task, retry_policy)\u001b[0m\n\u001b[1;32m 23\u001b[0m task\u001b[38;5;241m.\u001b[39mwrites\u001b[38;5;241m.\u001b[39mclear()\n\u001b[1;32m 24\u001b[0m \u001b[38;5;66;03m# run the task\u001b[39;00m\n\u001b[0;32m---> 25\u001b[0m \u001b[43mtask\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mproc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtask\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minput\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtask\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 26\u001b[0m \u001b[38;5;66;03m# if successful, end\u001b[39;00m\n\u001b[1;32m 27\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n",
474
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/runnables/base.py:2876\u001b[0m, in \u001b[0;36mRunnableSequence.invoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m 2874\u001b[0m context\u001b[38;5;241m.\u001b[39mrun(_set_config_context, config)\n\u001b[1;32m 2875\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m-> 2876\u001b[0m \u001b[38;5;28minput\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[43mcontext\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstep\u001b[49m\u001b[38;5;241;43m.\u001b[39;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[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2877\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 2878\u001b[0m \u001b[38;5;28minput\u001b[39m \u001b[38;5;241m=\u001b[39m context\u001b[38;5;241m.\u001b[39mrun(step\u001b[38;5;241m.\u001b[39minvoke, \u001b[38;5;28minput\u001b[39m, config)\n",
475
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langgraph/utils.py:102\u001b[0m, in \u001b[0;36mRunnableCallable.invoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m 100\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m accepts_config(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunc):\n\u001b[1;32m 101\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mconfig\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m config\n\u001b[0;32m--> 102\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[43mcontext\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunc\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[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(ret, Runnable) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrecurse:\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ret\u001b[38;5;241m.\u001b[39minvoke(\u001b[38;5;28minput\u001b[39m, config)\n",
476
+ "Cell \u001b[0;32mIn[3], line 70\u001b[0m, in \u001b[0;36magent_node\u001b[0;34m(state, agent, name)\u001b[0m\n\u001b[1;32m 69\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21magent_node\u001b[39m(state, agent, name):\n\u001b[0;32m---> 70\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43magent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 71\u001b[0m \u001b[38;5;66;03m# We convert the agent output into a format that is suitable to append to the global state\u001b[39;00m\n\u001b[1;32m 72\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(result, ToolMessage):\n",
477
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/runnables/base.py:2878\u001b[0m, in \u001b[0;36mRunnableSequence.invoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m 2876\u001b[0m \u001b[38;5;28minput\u001b[39m \u001b[38;5;241m=\u001b[39m context\u001b[38;5;241m.\u001b[39mrun(step\u001b[38;5;241m.\u001b[39minvoke, \u001b[38;5;28minput\u001b[39m, config, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 2877\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 2878\u001b[0m \u001b[38;5;28minput\u001b[39m \u001b[38;5;241m=\u001b[39m context\u001b[38;5;241m.\u001b[39mrun(step\u001b[38;5;241m.\u001b[39minvoke, \u001b[38;5;28minput\u001b[39m, config)\n\u001b[1;32m 2879\u001b[0m \u001b[38;5;66;03m# finish the root run\u001b[39;00m\n\u001b[1;32m 2880\u001b[0m \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",
478
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/runnables/base.py:5094\u001b[0m, in \u001b[0;36mRunnableBindingBase.invoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m 5088\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minvoke\u001b[39m(\n\u001b[1;32m 5089\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 5090\u001b[0m \u001b[38;5;28minput\u001b[39m: Input,\n\u001b[1;32m 5091\u001b[0m config: Optional[RunnableConfig] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 5092\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Optional[Any],\n\u001b[1;32m 5093\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Output:\n\u001b[0;32m-> 5094\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbound\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 5095\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5096\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;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[1;32m 5097\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m{\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5098\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
479
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:276\u001b[0m, in \u001b[0;36mBaseChatModel.invoke\u001b[0;34m(self, input, config, stop, **kwargs)\u001b[0m\n\u001b[1;32m 265\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minvoke\u001b[39m(\n\u001b[1;32m 266\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 267\u001b[0m \u001b[38;5;28minput\u001b[39m: LanguageModelInput,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 271\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[1;32m 272\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m BaseMessage:\n\u001b[1;32m 273\u001b[0m config \u001b[38;5;241m=\u001b[39m ensure_config(config)\n\u001b[1;32m 274\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m cast(\n\u001b[1;32m 275\u001b[0m ChatGeneration,\n\u001b[0;32m--> 276\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate_prompt\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 277\u001b[0m \u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;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[1;32m 278\u001b[0m \u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 279\u001b[0m \u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcallbacks\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 280\u001b[0m \u001b[43m \u001b[49m\u001b[43mtags\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtags\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 281\u001b[0m \u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmetadata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 282\u001b[0m \u001b[43m \u001b[49m\u001b[43mrun_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrun_name\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 283\u001b[0m \u001b[43m \u001b[49m\u001b[43mrun_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpop\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrun_id\u001b[39;49m\u001b[38;5;124;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[1;32m 284\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 285\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mgenerations[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;241m0\u001b[39m],\n\u001b[1;32m 286\u001b[0m )\u001b[38;5;241m.\u001b[39mmessage\n",
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+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:776\u001b[0m, in \u001b[0;36mBaseChatModel.generate_prompt\u001b[0;34m(self, prompts, stop, callbacks, **kwargs)\u001b[0m\n\u001b[1;32m 768\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgenerate_prompt\u001b[39m(\n\u001b[1;32m 769\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 770\u001b[0m prompts: List[PromptValue],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 773\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any,\n\u001b[1;32m 774\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m LLMResult:\n\u001b[1;32m 775\u001b[0m prompt_messages \u001b[38;5;241m=\u001b[39m [p\u001b[38;5;241m.\u001b[39mto_messages() \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m prompts]\n\u001b[0;32m--> 776\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;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[38;5;241;43m=\u001b[39;49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcallbacks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
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+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:633\u001b[0m, in \u001b[0;36mBaseChatModel.generate\u001b[0;34m(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)\u001b[0m\n\u001b[1;32m 631\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m run_managers:\n\u001b[1;32m 632\u001b[0m run_managers[i]\u001b[38;5;241m.\u001b[39mon_llm_error(e, response\u001b[38;5;241m=\u001b[39mLLMResult(generations\u001b[38;5;241m=\u001b[39m[]))\n\u001b[0;32m--> 633\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m 634\u001b[0m flattened_outputs \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m 635\u001b[0m LLMResult(generations\u001b[38;5;241m=\u001b[39m[res\u001b[38;5;241m.\u001b[39mgenerations], llm_output\u001b[38;5;241m=\u001b[39mres\u001b[38;5;241m.\u001b[39mllm_output) \u001b[38;5;66;03m# type: ignore[list-item]\u001b[39;00m\n\u001b[1;32m 636\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m res \u001b[38;5;129;01min\u001b[39;00m results\n\u001b[1;32m 637\u001b[0m ]\n\u001b[1;32m 638\u001b[0m llm_output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_combine_llm_outputs([res\u001b[38;5;241m.\u001b[39mllm_output \u001b[38;5;28;01mfor\u001b[39;00m res \u001b[38;5;129;01min\u001b[39;00m results])\n",
482
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:623\u001b[0m, in \u001b[0;36mBaseChatModel.generate\u001b[0;34m(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)\u001b[0m\n\u001b[1;32m 620\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(messages):\n\u001b[1;32m 621\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 622\u001b[0m results\u001b[38;5;241m.\u001b[39mappend(\n\u001b[0;32m--> 623\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_generate_with_cache\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 624\u001b[0m \u001b[43m \u001b[49m\u001b[43mm\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 625\u001b[0m \u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 626\u001b[0m \u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;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[1;32m 627\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 628\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 629\u001b[0m )\n\u001b[1;32m 630\u001b[0m \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[1;32m 631\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m run_managers:\n",
483
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py:845\u001b[0m, in \u001b[0;36mBaseChatModel._generate_with_cache\u001b[0;34m(self, messages, stop, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m 843\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 844\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m inspect\u001b[38;5;241m.\u001b[39msignature(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_generate)\u001b[38;5;241m.\u001b[39mparameters\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrun_manager\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m--> 845\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_generate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 846\u001b[0m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m 847\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 848\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 849\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_generate(messages, stop\u001b[38;5;241m=\u001b[39mstop, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
484
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_openai/chat_models/base.py:635\u001b[0m, in \u001b[0;36mBaseChatOpenAI._generate\u001b[0;34m(self, messages, stop, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m 633\u001b[0m generation_info \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mheaders\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28mdict\u001b[39m(raw_response\u001b[38;5;241m.\u001b[39mheaders)}\n\u001b[1;32m 634\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 635\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpayload\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 636\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_chat_result(response, generation_info)\n",
485
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/_utils/_utils.py:274\u001b[0m, in \u001b[0;36mrequired_args.<locals>.inner.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 272\u001b[0m msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[38;5;241m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 273\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[0;32m--> 274\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
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+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/resources/chat/completions.py:668\u001b[0m, in \u001b[0;36mCompletions.create\u001b[0;34m(self, messages, model, frequency_penalty, function_call, functions, logit_bias, logprobs, max_tokens, n, parallel_tool_calls, presence_penalty, response_format, seed, service_tier, stop, stream, stream_options, temperature, tool_choice, tools, top_logprobs, top_p, user, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[1;32m 633\u001b[0m \u001b[38;5;129m@required_args\u001b[39m([\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m], [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m 634\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcreate\u001b[39m(\n\u001b[1;32m 635\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 665\u001b[0m timeout: \u001b[38;5;28mfloat\u001b[39m \u001b[38;5;241m|\u001b[39m httpx\u001b[38;5;241m.\u001b[39mTimeout \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m|\u001b[39m NotGiven \u001b[38;5;241m=\u001b[39m NOT_GIVEN,\n\u001b[1;32m 666\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ChatCompletion \u001b[38;5;241m|\u001b[39m Stream[ChatCompletionChunk]:\n\u001b[1;32m 667\u001b[0m validate_response_format(response_format)\n\u001b[0;32m--> 668\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 669\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/chat/completions\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 670\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 671\u001b[0m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\n\u001b[1;32m 672\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmessages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 673\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 674\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfrequency_penalty\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrequency_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 675\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfunction_call\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunction_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 676\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfunctions\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunctions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 677\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mlogit_bias\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogit_bias\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 678\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mlogprobs\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 679\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmax_tokens\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 680\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mn\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 681\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mparallel_tool_calls\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m 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\u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;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[1;32m 703\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mChatCompletionChunk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 704\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
487
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/_base_client.py:1260\u001b[0m, in \u001b[0;36mSyncAPIClient.post\u001b[0;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1246\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpost\u001b[39m(\n\u001b[1;32m 1247\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1248\u001b[0m path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1255\u001b[0m stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 1256\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[1;32m 1257\u001b[0m opts \u001b[38;5;241m=\u001b[39m FinalRequestOptions\u001b[38;5;241m.\u001b[39mconstruct(\n\u001b[1;32m 1258\u001b[0m method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpost\u001b[39m\u001b[38;5;124m\"\u001b[39m, url\u001b[38;5;241m=\u001b[39mpath, json_data\u001b[38;5;241m=\u001b[39mbody, files\u001b[38;5;241m=\u001b[39mto_httpx_files(files), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions\n\u001b[1;32m 1259\u001b[0m )\n\u001b[0;32m-> 1260\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;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[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n",
488
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/_base_client.py:937\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m 928\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrequest\u001b[39m(\n\u001b[1;32m 929\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 930\u001b[0m cast_to: Type[ResponseT],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 935\u001b[0m stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 936\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[0;32m--> 937\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 938\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 939\u001b[0m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 940\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 941\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 942\u001b[0m \u001b[43m \u001b[49m\u001b[43mremaining_retries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mremaining_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 943\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
489
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/_base_client.py:1026\u001b[0m, in \u001b[0;36mSyncAPIClient._request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1024\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retries \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_retry(err\u001b[38;5;241m.\u001b[39mresponse):\n\u001b[1;32m 1025\u001b[0m err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mclose()\n\u001b[0;32m-> 1026\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_retry_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1027\u001b[0m \u001b[43m \u001b[49m\u001b[43minput_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1028\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1029\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1030\u001b[0m \u001b[43m \u001b[49m\u001b[43merr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1031\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1032\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1033\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1035\u001b[0m \u001b[38;5;66;03m# If the response is streamed then we need to explicitly read the response\u001b[39;00m\n\u001b[1;32m 1036\u001b[0m \u001b[38;5;66;03m# to completion before attempting to access the response text.\u001b[39;00m\n\u001b[1;32m 1037\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mis_closed:\n",
490
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/_base_client.py:1075\u001b[0m, in \u001b[0;36mSyncAPIClient._retry_request\u001b[0;34m(self, options, cast_to, remaining_retries, response_headers, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1071\u001b[0m \u001b[38;5;66;03m# In a synchronous context we are blocking the entire thread. Up to the library user to run the client in a\u001b[39;00m\n\u001b[1;32m 1072\u001b[0m \u001b[38;5;66;03m# different thread if necessary.\u001b[39;00m\n\u001b[1;32m 1073\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(timeout)\n\u001b[0;32m-> 1075\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1076\u001b[0m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1077\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1078\u001b[0m \u001b[43m \u001b[49m\u001b[43mremaining_retries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mremaining\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1079\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1080\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1081\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
491
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/_base_client.py:1026\u001b[0m, in \u001b[0;36mSyncAPIClient._request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1024\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retries \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_should_retry(err\u001b[38;5;241m.\u001b[39mresponse):\n\u001b[1;32m 1025\u001b[0m err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mclose()\n\u001b[0;32m-> 1026\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_retry_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1027\u001b[0m \u001b[43m \u001b[49m\u001b[43minput_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1028\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1029\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1030\u001b[0m \u001b[43m \u001b[49m\u001b[43merr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1031\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1032\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1033\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1035\u001b[0m \u001b[38;5;66;03m# If the response is streamed then we need to explicitly read the response\u001b[39;00m\n\u001b[1;32m 1036\u001b[0m \u001b[38;5;66;03m# to completion before attempting to access the response text.\u001b[39;00m\n\u001b[1;32m 1037\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mis_closed:\n",
492
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/_base_client.py:1075\u001b[0m, in \u001b[0;36mSyncAPIClient._retry_request\u001b[0;34m(self, options, cast_to, remaining_retries, response_headers, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1071\u001b[0m \u001b[38;5;66;03m# In a synchronous context we are blocking the entire thread. Up to the library user to run the client in a\u001b[39;00m\n\u001b[1;32m 1072\u001b[0m \u001b[38;5;66;03m# different thread if necessary.\u001b[39;00m\n\u001b[1;32m 1073\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(timeout)\n\u001b[0;32m-> 1075\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1076\u001b[0m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1077\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1078\u001b[0m \u001b[43m \u001b[49m\u001b[43mremaining_retries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mremaining\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1079\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1080\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1081\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
493
+ "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/_base_client.py:1041\u001b[0m, in \u001b[0;36mSyncAPIClient._request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m 1038\u001b[0m err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mread()\n\u001b[1;32m 1040\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRe-raising status error\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1041\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_status_error_from_response(err\u001b[38;5;241m.\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1043\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_process_response(\n\u001b[1;32m 1044\u001b[0m cast_to\u001b[38;5;241m=\u001b[39mcast_to,\n\u001b[1;32m 1045\u001b[0m options\u001b[38;5;241m=\u001b[39moptions,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1049\u001b[0m retries_taken\u001b[38;5;241m=\u001b[39moptions\u001b[38;5;241m.\u001b[39mget_max_retries(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_retries) \u001b[38;5;241m-\u001b[39m retries,\n\u001b[1;32m 1050\u001b[0m )\n",
494
+ "\u001b[0;31mInternalServerError\u001b[0m: Error code: 500 - {'error': {'message': 'The model produced invalid content. Consider modifying your prompt if you are seeing this error persistently.', 'type': 'model_error', 'param': None, 'code': None}}"
495
+ ]
496
+ }
497
+ ],
498
  "source": [
499
  "def submitUserMessage(user_input: str) -> str:\n",
500
  " graph = workflow.compile()\n",
 
520
  " return response\n",
521
  "\n",
522
  "\n",
523
+ "question = \"hotel near mbk center\"\n",
524
+ "submitUserMessage(question)"
525
  ]
526
  }
527
  ],
prompt.py CHANGED
@@ -10,7 +10,7 @@ agent_meta = [
10
  "prompt": """
11
  You are the Data Collector. Use the tools to gather data on the location and keyword provided by the Analyst.
12
  You must provide data on the number of competitors, nearby competitors, the products they sell and their prices, population, community type, household expenditures, and population data.
13
- Additionally, Always use google_search tools to find information on 'the pricing of [each competitor] in [distinct]', and the human capacity IF the keyword are hotel, search "number of rooms [each competitor] in [distinct]". IF the keyword are school, search "number of student in [each competitor] in [distinct]".
14
  Use the population data tool to search for population, community type, and household expenditures related to the province or district of the location.
15
  Then, use nearby_search to get data about nearby competitors. If some data is not provided, make it up.
16
  If you cannot find some data, assume it yourself (mock it up) but don’t let the Reporter know.
@@ -22,10 +22,9 @@ agent_meta = [
22
  {
23
  "name": "reporter",
24
  "prompt": """
25
- You are the Reporter. Organize all the data to generate insights in 3 parts:
26
- 1. The list of the names of competitors, rating, and product prices.
27
- 2. Numerical data such as the number of competitors, commonly product their sell and price, range of competitor's ratings, community type, household expenditures, population data, etc.
28
- 3. Descriptive analytical summary, including an analysis of the target customers, potential sales and pricing strategy,and optimal price range based on location, competator,and customer data (price of the product the user intends to sell).
29
 
30
  Provide a final report based on the available information. After that, prefix your response with '%SIjfE923hf' so the team knows to stop."""
31
  }
 
10
  "prompt": """
11
  You are the Data Collector. Use the tools to gather data on the location and keyword provided by the Analyst.
12
  You must provide data on the number of competitors, nearby competitors, the products they sell and their prices, population, community type, household expenditures, and population data.
13
+ Additionally, Always use Google search tools to find information on 'the pricing of [each competitor] in [distinct]', and the human capacity IF the keyword are kind of hotel, search "number of rooms [each competitor] in [distinct]". IF the keyword are kind of school, search "number of student in [each competitor] in [distinct]".
14
  Use the population data tool to search for population, community type, and household expenditures related to the province or district of the location.
15
  Then, use nearby_search to get data about nearby competitors. If some data is not provided, make it up.
16
  If you cannot find some data, assume it yourself (mock it up) but don’t let the Reporter know.
 
22
  {
23
  "name": "reporter",
24
  "prompt": """
25
+ You are the Reporter. Organize all the data to generate insights in 2 parts:
26
+ 1. Numerical data such as the number of competitors, commonly product their sell and price, range of competitor's ratings, community type, household expenditures, population data, etc.
27
+ 2. Descriptive analytical summary, including an analysis of the target customers, potential sales and pricing strategy,and optimal price range based on location, competator,and customer data (price of the product the user intends to sell).
 
28
 
29
  Provide a final report based on the available information. After that, prefix your response with '%SIjfE923hf' so the team knows to stop."""
30
  }
testsets/QA_smaple.txt CHANGED
@@ -1,343 +1,284 @@
1
  quesion:
2
- Coffee shop near Central World
3
  answer:
4
- ### Final Report on Coffee Shops Near Central World
5
-
6
- #### 1. Competitor Analysis
7
- Here is a list of coffee shops near Central World, including their ratings and product prices:
8
-
9
- | Coffee Shop Name | Address | Rating | Average Price (THB) |
10
- |--------------------------------------|-------------------------------------------------------|--------|----------------------|
11
- | Earthy Roaster (Specialty Coffee) | 994 Makkasan, Ratchathewi | 4.8 | 200 (for 250g coffee)|
12
- | Salotto Coffee | 813/8 Phetchaburi Rd, Thanon Phaya Thai, Ratchathewi| 5 | 80-150 |
13
- | The Basic Coffee BKK | Gaysorn Amarin, 496-502 Phloen Chit Rd, Pathum Wan | 4.7 | 100 |
14
- | Bullet Thai Craft Beer | 85 1 Akkharanithi Alley, Thanon Phaya Thai, Ratchathewi| 5 | 120 |
15
- | TABLA Craft Coffee | 502, Phloen Chit Rd, Lumphini, Pathum Wan | 4.6 | 100 |
16
- | RISE COFFEE - Flagship Store | 888 Phloen Chit Rd, Lumphini, Pathum Wan | 4.8 | 150 |
17
- | You Drink Coffee | 89, 25 Witthayu Rd, Lumphini, Pathum Wan | 4.5 | 100 |
18
- | Rich Coffee | 20 Phetchaburi 7 Alley, Thung Phaya Thai, Ratchathewi| 5 | 80 |
19
- | Early Bird Coffee - Chit Lom BTS | Chit Lom BTS Lumpini, Khet, Pathum Wan | 4.8 | 120 |
20
- | Mongkol COFFEE | 266/15 Rama I Rd, Pathum Wan | 4.6 | 100 |
21
-
22
- #### 2. Numerical Data
23
- - **Number of Competitors**: 10 coffee shops listed.
24
- - **Common Products**: Specialty coffee, brewed coffee, espresso drinks, and pastries.
25
- - **Price Range of Competitors**: THB 80 to THB 200 for coffee products.
26
- - **Competitor Ratings**: Range from 4.5 to 5.
27
- - **Community Type**: Urban (Bangkok).
28
- - **Population**: Approximately 10.5 million.
29
- - **Average Household Expenditures**: Around THB 28,000 per month.
30
 
31
- #### 3. Descriptive Analytical Summary
32
- **Target Customers**: The target customers for coffee shops in this area are likely to be urban professionals, students, and tourists who frequent Central World for shopping and leisure. The high ratings of these coffee shops suggest a focus on quality and customer experience.
 
 
 
 
33
 
34
- **Potential Sales and Pricing Strategy**: Given the competitive pricing and high ratings of existing coffee shops, a new coffee shop should consider positioning itself within the THB 100 to THB 150 range for standard coffee offerings. Specialty items could be priced higher, around THB 200, to reflect quality.
35
 
36
- **Optimal Price Range**: Based on competitor pricing and customer demographics, the optimal price range for a new coffee shop in this area would be between THB 100 and THB 150 for regular coffee, with specialty items priced at THB 200 or more. This pricing strategy would allow for competitive positioning while also appealing to the quality-conscious consumer base in Bangkok.
37
 
38
- This report provides a comprehensive overview of the coffee shop landscape near Central World, offering insights into competitors, pricing strategies, and target demographics.
 
 
 
 
39
 
40
 
41
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
42
  quesion:
43
- Feasibility analysis for a bookstore near Thonglor
44
  answer:
45
- ### Final Report: Feasibility Analysis for a Bookstore Near Thonglor
46
-
47
- #### 1. Competitor Overview
48
- - **Competitors Identified:**
49
- 1. **Asia Books Samitivej Hospital**
50
- - **Rating:** 4.5
51
- - **Address:** 49 Khlong Tan Nuea, Watthana
52
- 2. **Naiin**
53
- - **Rating:** 4.5
54
- - **Address:** 135 Khlong Toei Nuea, Watthana
55
- 3. **Book Link Co., LTD.**
56
- - **Rating:** 4.0
57
- - **Address:** 47/3 Ekkamai 28 Alley, Khlong Tan Nuea, Watthana
58
- 4. **Asiabooks Bangkok Hospital**
59
- - **Rating:** 3.5
60
- - **Address:** 1-06 Bangkok Plaza, New Petchaburi Rd, Bang Kapi, Huai Khwang
61
- 5. **Rock Paper Scissors Magazine Store**
62
- - **Rating:** 4.0
63
- - **Address:** 14, DH Grand Tower, Soi Sukhumvit 39, Khlong Tan Nuea, Watthana
64
- 6. **Various Other Bookstores**
65
- - **Rating:** 5.0
66
- - **Address:** 2447/7 New Petchaburi Rd, Bang Kapi, Huai Khwang
67
-
68
- #### 2. Numerical Data
69
- - **Total Competitors:** 7 bookstores within a 1 km radius of Thonglor.
70
- - **Average Competitor Rating:** Approximately 4.0.
71
- - **Household Expenditures on Books:**
72
- - Average expenditure: 34 THB
73
- - Median expenditure: 45 THB
74
- - Total households spending on books: 39
75
- - Total households with no expenditure on books: 12
76
- - **Price Range for Books:** 1,000 THB to 7,500 THB.
77
-
78
- #### 3. Descriptive Analytical Summary
79
- - **Target Customers:** The target customers in Thonglor include local residents, expatriates, and visitors who are likely to seek English and foreign language books. The presence of high-rated bookstores indicates a demand for quality literature.
80
- - **Potential Sales and Pricing Strategy:** Given the competitive landscape, a new bookstore could adopt a pricing strategy that aligns with the average market prices while offering unique products or services. A price range of 1,000 THB to 7,500 THB for premium books could be effective.
81
- - **Optimal Price Range:** The optimal price range should consider the average household expenditure on books, which is relatively low. Therefore, offering a mix of affordable and premium products could attract a broader customer base.
82
 
83
- ### Conclusion
84
- The feasibility of establishing a bookstore in Thonglor appears promising, given the high ratings of existing competitors and the potential customer base. However, careful consideration of product offerings, pricing strategies, and additional services (like a café or events) will be crucial for success in this competitive market. Further market research is recommended to refine the business model and ensure alignment with customer preferences.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
85
 
86
 
87
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
88
  quesion:
89
- วิเคราะห์คู่แข่งของร้านเบเกอรี่ใกล้ตลาดจตุจักร
90
- error:
91
- Recursion limit of 20 reached without hitting a stop condition. You can increase the limit by setting the `recursion_limit` config key.
92
 
93
 
94
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
95
  quesion:
96
- วิเคราะห์ร้านอาหารแถวลุมพินี เซ็นเตอร์ ลาดพร้าว
97
  answer:
98
- ### Final Report on Restaurants Near Lumpini Center, Lat Phrao
99
-
100
- #### 1. Competitor Analysis
101
- Here is a list of notable competitors, their ratings, and product prices:
102
-
103
- | Restaurant Name | Rating | Address | Average Price Range (THB) |
104
- |-------------------------------------|--------|---------------------------------------------------|----------------------------|
105
- | Thai Restaurant | 4.5 | 3500 Lat Phrao Rd, Khlong Chan, Bang Kapi | 150 - 500 |
106
- | Thai Flavours | 5.0 | QJCP+JJW, Soi Lat Phrao 111, Khlong Chan | 150 - 500 |
107
- | Khun Young's Kitchen | 4.8 | 67, 16 Lat Phrao 111, Khlong Chan | 150 - 500 |
108
- | อร่อยดี (Aroi Dee) | 4.7 | Unnamed Road, Khlong Chan, Bang Kapi | 150 - 500 |
109
- | ร้านอาหาร 109 (Restaurant 109) | 5.0 | 397 Lat Phrao 109 Alley, Lane 1, Khlong Chan | 150 - 500 |
110
- | SiSiam | 5.0 | 67, 20-21 Lat Phrao 111, Khlong Chan | 150 - 500 |
111
- | LT Fish Restaurant The Mall Bangkapi| 4.6 | The Mall Bangkapi, Khwaeng Khlong Chan | 150 - 500 |
112
- | Yuzu Ramen Thailand The Mall Bangkapi| 3.2 | 3522 Lat Phrao Rd, Khlong Chan | 150 - 500 |
113
-
114
- #### 2. Numerical Data
115
- - **Number of Competitors:** 21 restaurants within a 1 km radius.
116
- - **Common Products Sold:** Primarily Thai cuisine, with some offering Japanese and seafood options.
117
- - **Price Range of Competitors:** 150 - 1,200 THB per meal.
118
- - **Community Type:** Urban, with a mix of residential and commercial areas.
119
- - **Household Expenditures:**
120
- - Average monthly expenditure on food: 12,000 THB
121
- - Average monthly expenditure on dining out: 4,700 THB
122
- - Average monthly expenditure on entertainment: 3,400 THB
123
- - **Population:** Approximately 12,000 residents in the Bang Kapi District.
124
 
125
- #### 3. Descriptive Analytical Summary
126
- - **Target Customers:** The target customers are likely to be local residents, office workers, and visitors to the area, who are looking for convenient dining options. The average household expenditure indicates a willingness to spend on dining out, especially for casual and mid-range restaurants.
127
-
128
- - **Potential Sales and Pricing Strategy:** Given the competitive landscape, a pricing strategy that aligns with the average price range of 150 - 500 THB for casual dining would be optimal. Offering promotions or loyalty programs could attract repeat customers.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
129
 
130
- - **Optimal Price Range:** Based on competitor analysis and household expenditure data, setting menu prices within the range of 150 - 500 THB would be advisable to capture the local market effectively. Additionally, considering the high ratings of competitors, maintaining quality and service will be crucial for success.
 
 
131
 
132
- This report provides a comprehensive overview of the restaurant landscape near Lumpini Center, Lat Phrao, and offers insights for potential business strategies in the area.
 
 
 
133
 
134
 
135
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
136
  quesion:
137
- วิเคราะห์การเปิดร้านกาแฟใกล้มาบุญครอง
138
- answer:
139
- ### Final Report on Opening a Coffee Shop Near Maboonkrong (มาบุญครอง)
140
-
141
- #### 1. Competitor Analysis
142
- Here is a list of notable competitors in the vicinity of Maboonkrong, including their ratings and product prices:
143
-
144
- | Competitor Name | Rating | Address | Price Range (THB) |
145
- |------------------------------------------|--------|---------------------------------------------------|--------------------|
146
- | Olympic Coffee | 4.8 | 43/4 Rama VI Rd, Rong Muang, Pathum Wan | 60 - 120 |
147
- | Salotto Coffee | 5.0 | 813/8 Phetchaburi Rd, Thanon Phaya Thai, Ratchathewi | 120 - 200 |
148
- | Bullet Thai Craft Beer | 5.0 | 85 1 Akkharanithi Alley, Thanon Phaya Thai, Ratchathewi | 60 - 120 |
149
- | Greatercafe Specialty Coffee Bangkok | 4.7 | 1/11 Rong Muang 5 Alley, Rong Muang, Pathum Wan | 60 - 120 |
150
- | กาแฟบ้านนอก (Ban Nok Coffee) | 5.0 | 355 10330 367 Soi Chula3 Wang Mai, Khet Phatumwan | 60 - 120 |
151
- | NOONKOTSI KOREAN DESSERT CAFE | 4.9 | 1792 Rama I Rd, Rong Muang, Pathum Wan | 60 - 120 |
152
- | Mongkol COFFEE | 4.6 | 266/15 Rama I Rd, Pathum Wan | 60 - 120 |
153
- | CONTRAST.BKK | 4.4 | 923 Soi Chulalongkorn 5, Wangmai, Pathum Wan | 60 - 120 |
154
- | Pacamara Coffee Roasters | 4.4 | 999/9 Rama I Rd, Pathum Wan | 120 - 200 |
155
- | Bantatthong Cafe | 4.8 | 1800 Rama I Rd, Wang Mai, Pathum Wan | 60 - 120 |
156
-
157
- #### 2. Numerical Data
158
- - **Number of Competitors**: 10 notable coffee shops within a 1 km radius.
159
- - **Common Products**: Coffee (standard and specialty), pastries, and snacks.
160
- - **Price Range of Competitors**:
161
- - Standard Coffee: 60 - 120 THB
162
- - Specialty Coffee: 120 - 200 THB
163
- - Pastries and Snacks: 30 - 80 THB
164
- - **Community Type**: Urban, with a mix of residential and commercial areas.
165
- - **Population**: Approximately 22,000 residents in Pathum Wan.
166
- - **Average Monthly Household Expenditure**: 17,000 THB.
167
- - **Average Spending on Food and Beverages**: 19% of total expenditures.
168
- - **Average Spending on Entertainment and Leisure**: 42% of total expenditures.
169
-
170
- #### 3. Descriptive Analytical Summary
171
- **Target Customers**: The target customers for a new coffee shop in this area would primarily be local residents, office workers, and tourists visiting the nearby shopping centers. Given the high ratings of existing competitors, customers are likely looking for quality coffee and a comfortable atmosphere.
172
-
173
- **Potential Sales and Pricing Strategy**:
174
- - **Sales Potential**: With a population of 22,000 and a significant percentage of disposable income allocated to food and beverages, there is a strong potential for sales.
175
- - **Pricing Strategy**: To remain competitive, pricing should align with existing coffee shops. A suggested price range for standard coffee could be set at 60 - 120 THB, while specialty coffee could be priced at 120 - 200 THB. Offering promotions or loyalty programs could attract more customers.
176
-
177
- **Optimal Price Range**: Based on competitor analysis and community data, the optimal price range for coffee products should be:
178
- - Standard Coffee: 60 - 120 THB
179
- - Specialty Coffee: 120 - 200 THB
180
- - Pastries and Snacks: 30 - 80 THB
181
-
182
- This pricing strategy, combined with a focus on quality and customer experience, could position the new coffee shop for success in the competitive market near Maboonkrong.
183
 
184
 
185
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
186
  quesion:
187
- วิเคราะห์การเปิดร้านอาหารแถวนวลจันทร์
188
- answer:
189
-
190
 
191
 
192
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
193
  quesion:
194
  วิเคราะห์การเปิดร้านอาหารใกล้สยามพารากอน
195
  answer:
196
- ### Final Report: Analysis of Opening a Restaurant Near Siam Paragon
197
-
198
- #### 1. Competitor Overview
199
- Here is a list of competitors within a 1 km radius of Siam Paragon, including their ratings and addresses:
200
-
201
- | Restaurant Name | Rating | Address |
202
- |-----------------------------------------------------|--------|-----------------------------------------------------------|
203
- | Shree Bhavan Pure South Indian Vegetarian Restaurant | 4.9 | 120 Pratunam Market, 45 Ratchaprarop Rd, Ratchathewi |
204
- | The SQUARE Restaurant | 4.4 | 220 Petchaburi Road, Ratchathewi |
205
- | Stock.Room | 4.6 | Kimpton Maa-Lai Bangkok, Soi Ton Son, Pathum Wan |
206
- | Mickey's Diner BKK | 4.1 | GF Floor, Amarin Plaza, Phloen Chit Rd, Pathum Wan |
207
- | Indiagate Restaurant | 4.6 | 567/ Ratchaprarop Rd, Makkasan, Ratchathewi |
208
- | Flourish | 4.2 | 80 Soi Ton Son, Lumphini, Pathum Wan |
209
- | Angkor Restaurant | 4.7 | 42 Phetchaburi Rd, Ratchathewi |
210
- | Medici Kitchen & Bar | 4.4 | 55 Lang Suan Rd, Lumphini, Pathum Wan |
211
- | NO.43 Italian Bistro | 4.3 | 43 Soi Langsuan, Lumphini, Pathum Wan |
212
- | La VIE Bistronomy | 4.5 | 117 Phaya Thai Rd, Ratchathewi |
213
-
214
- #### 2. Numerical Data
215
- - **Number of Competitors**: 10 notable restaurants within 1 km.
216
- - **Commonly Sold Products**: Varied cuisines including Indian, Italian, and local Thai dishes.
217
- - **Price Range**: Average meal prices in the area range from 200 to 1,500 THB depending on the restaurant type and cuisine.
218
- - **Competitor Ratings**: Range from 4.1 to 4.9.
219
- - **Community Type**: Urban metropolitan area with a mix of residential, commercial, and tourist attractions.
220
- - **Population Data**: Approximately 10.5 million in Bangkok.
221
- - **Household Expenditures**: Average monthly household expenditure is around 28,000 THB.
222
-
223
- #### 3. Descriptive Analytical Summary
224
- - **Target Customers**: The target market includes both tourists and locals, particularly those seeking high-quality dining experiences. The presence of luxury hotels and shopping centers nearby suggests a clientele willing to spend on dining.
225
- - **Potential Sales**: Given the high foot traffic and the variety of existing dining options, a restaurant that offers unique or specialized cuisine could attract a significant number of customers.
226
- - **Pricing Strategy**: A competitive pricing strategy should be adopted, with menu items priced between 300 to 800 THB to appeal to both budget-conscious diners and those looking for a premium experience.
227
- - **Optimal Price Range**: Based on competitor analysis and household expenditure data, an optimal price range for menu items would be between 300 to 600 THB, allowing for a balance between affordability and quality.
228
-
229
- This report provides a comprehensive overview of the competitive landscape and market potential for opening a restaurant near Siam Paragon. Further market research and a detailed business plan would be beneficial for a successful launch.
230
 
 
 
 
231
 
232
- --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
233
- quesion:
234
- Search for grocery stores near Victory Monument and analyze the population
235
- answer:
236
- ### Final Report
237
-
238
- #### 1. Competitor Analysis
239
- Here is a list of grocery stores near Victory Monument, including their ratings:
240
-
241
- | Store Name | Address | Rating |
242
- |-------------------------------------------------|-------------------------------------------------------|--------|
243
- | Lotus’s go fresh | 104, 30-34 Rang Nam Alley, Thanon Phaya Thai, Ratchathewi | 4.1 |
244
- | Myanmar food grocery store | 120 Ratchaprarop Rd, Thanon Phaya Thai, Ratchathewi | 3.5 |
245
- | Get it Supermarket | 420/8, Ratchawithi Rd, Ratchathewi | Not rated |
246
- | Tops daily Soi Talad Sri Wanit | 208/3, 208/4 Thanon Asok - Din Daeng, Khwaeng Din Daeng | Not rated |
247
- | Food park | 59 Soi Phetchaburi 15, Thanon Phaya Thai, Ratchathewi | Not rated |
248
- | Lotus’ | 17/1 Soi Ratchawithi 9, Thanon Phaya Thai, Ratchathewi | 2.6 |
249
- | CP Freshmart | 212/1 Thung Phaya Thai, Ratchathewi | 3.4 |
250
- | YS GROCERY STORE (Indian, Pakistani, Bangladeshi Store) | 122/35 Ratchaprarop Rd, Thanon Phaya Thai, Ratchathewi | 5.0 |
251
- | Tops Century | 15 Phaya Thai Rd, Thanon Phaya Thai, Ratchathewi | 3.7 |
252
-
253
- #### 2. Numerical Data
254
- - **Number of Competitors**: 9 grocery stores
255
- - **Common Products**: General grocery items, fresh produce, ethnic foods (Indian, Pakistani, Bangladeshi)
256
- - **Price Range**: Not specified, but typically varies based on store type and location.
257
- - **Community Type**: Urban
258
- - **Population**: Approximately 46,000 residents
259
- - **Households**: About 19,000 households
260
- - **Family Units**: Approximately 39,000 family units
261
-
262
- #### 3. Descriptive Analytical Summary
263
- - **Target Customers**: The area has a diverse population, including local residents and expatriates, which suggests a demand for both local and international grocery products.
264
- - **Potential Sales**: Given the population density and the number of households, there is a significant potential for grocery sales, especially for stores that cater to specific ethnic communities.
265
- - **Pricing Strategy**: Competitive pricing will be essential, especially against established stores like YS Grocery Store, which has a high rating. Offering promotions or loyalty programs could attract more customers.
266
- - **Optimal Price Range**: Prices should be aligned with competitors, likely in the mid-range to accommodate the diverse customer base while ensuring profitability.
267
-
268
- This report provides a comprehensive overview of the grocery market near Victory Monument, highlighting key competitors, demographic insights, and strategic recommendations for entering or expanding in this market.
269
 
270
 
271
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
272
  quesion:
273
- วิเคราะห์ธุรกิจโรงแรมแถวซอยมิตรภาพ 8
274
  answer:
275
- ### Final Report on Hotel Business Analysis near Soi Mittraphap 8
276
-
277
- #### 1. Competitor Overview
278
- Here is a list of competitors in the hotel business near Soi Mittraphap 8, including their ratings:
279
-
280
- | Hotel Name | Address | Rating |
281
- |--------------------------------|------------------------------------------------------|--------|
282
- | Hotel CHADA VERANDA | 88 Sri Chant Rd, Tambon Nai Mueang, Mueang Khon Kaen District | 4.0 |
283
- | V Wish Hotel | 56 Glang Muang Rd, Tambon Nai Mueang, Mueang Khon Kaen District | 4.1 |
284
- | Khon Kaen Orchid Hotel | 149 96 Thanon Mittraphap, Tambon Nai Mueang, Mueang Khon Kaen District | 4.2 |
285
- | Glacier Hotel | 141 Pracha Samran Rd, Nai Mueang, Mueang Khon Kaen District | 3.8 |
286
- | Ad Lib Khon Kaen | Khon Kaen Innovation Centre 999 Srichan Road Nai Muang Muang | 4.6 |
287
- | Charoen Thani Hotel, Khon Kaen | 260 Sri Chant Rd, Nai Mueang, Mueang Khon Kaen District | 4.1 |
288
- | OMG HOTEL | 53/1 Phimphasut Rd, Tambon Nai Mueang, Mueang Khon Kaen District | 4.2 |
289
- | Goodday Hotel | 164/24 Mueang Khon Kaen District | 4.0 |
290
- | LE CASSIA HOTEL | 68 Phimphasut Rd, Tambon Nai Mueang, Mueang Khon Kaen District | 4.2 |
291
-
292
- #### 2. Numerical Data
293
- - **Number of Competitors**: 9 hotels listed above.
294
- - **Commonly Sold Products**: Hotel rooms, food and beverage services, event spaces.
295
- - **Price Range**: Average daily rates range from approximately 1,000 to 2,500 THB depending on the hotel and room type.
296
- - **Competitor Ratings**: Range from 3.8 to 4.6.
297
- - **Community Type**: Urban area with a mix of residential and commercial establishments.
298
- - **Household Expenditures**: Average household expenditure in the area is around 30,000 THB per month.
299
- - **Population Data**: The population in the vicinity is approximately 150,000 residents.
300
-
301
- #### 3. Descriptive Analytical Summary
302
- - **Target Customers**: The target customers for hotels in this area include business travelers, tourists, and local residents seeking short-term accommodations. The high ratings of the hotels suggest a focus on quality service and customer satisfaction.
303
- - **Potential Sales**: Given the occupancy rates and average daily rates, potential sales can be estimated based on the number of rooms and average occupancy. For example, a hotel with 100 rooms at an average occupancy of 70% and an ADR of 1,500 THB could generate approximately 31,500 THB per day.
304
- - **Pricing Strategy**: The pricing strategy should consider competitor rates, customer demographics, and seasonal demand. A competitive pricing strategy that offers value-added services (e.g., breakfast, free Wi-Fi) could attract more customers.
305
- - **Optimal Price Range**: Based on competitor analysis, an optimal price range for new hotel offerings could be set between 1,200 to 2,000 THB per night, depending on the amenities provided.
306
-
307
- This report provides a comprehensive overview of the hotel business landscape around Soi Mittraphap 8, highlighting key competitors, market dynamics, and strategic recommendations for potential hotel ventures in the area.
308
 
309
 
310
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
311
  quesion:
312
- Analyze the feasibility of opening a restaurant near Siam Paragon
313
  answer:
314
- ### Final Report on the Feasibility of Opening a Restaurant Near Siam Paragon
315
-
316
- #### 1. Competitor Overview
317
- - **Total Competitors**: 21 restaurants identified within a 1 km radius of Siam Paragon.
318
- - **Notable Competitors**:
319
- - **Shree Bhavan Pure South Indian Vegetarian Restaurant**: Rating 4.9
320
- - **Indiagate Restaurant**: Rating 4.6
321
- - **NILA Coastal Indian Cuisine**: Rating 5.0
322
- - **The SQUARE Restaurant**: Rating 4.4
323
- - **Angkor Restaurant**: Rating 4.7
324
- - **Price Range**:
325
- - Street food prices to upscale dining (up to HK$195 or approximately $25).
326
-
327
- #### 2. Numerical Data
328
- - **Common Products**: Thai cuisine, Indian cuisine, vegetarian options, street food.
329
- - **Competitor Ratings**: Range from 3.3 to 5.0.
330
- - **Community Type**: Urban locality with high foot traffic due to shopping and tourism.
331
- - **Household Expenditures**: Significant spending on dining out, especially in mid-range and high-end restaurants.
332
-
333
- #### 3. Descriptive Analytical Summary
334
- - **Target Customers**: The area attracts both locals and tourists, with a diverse demographic looking for various dining experiences.
335
- - **Potential Sales**: Given the high foot traffic and the presence of hotels and shopping centers, there is a strong potential for sales, especially if the restaurant offers unique or high-demand cuisine.
336
- - **Pricing Strategy**: A competitive pricing strategy that offers value while maintaining quality will be essential. Consideration should be given to the pricing of nearby competitors, with options for both affordable and premium dining experiences.
337
- - **Optimal Price Range**: Aiming for a price range that aligns with mid-range to high-end dining (approximately $10 to $25 per meal) could attract a broad customer base while ensuring profitability.
338
-
339
- In conclusion, opening a restaurant near Siam Paragon is feasible, provided that the business differentiates itself in terms of cuisine, ambiance, and customer service to stand out in a competitive market.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
340
 
341
 
342
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
343
- average execution time: 22.575254702568053sec.
 
1
  quesion:
2
+ วิเคราะห์ร้านอาหารแถวลุมพินี เซ็นเตอร์ ลาดพร้าว
3
  answer:
4
+ ### Final Report: Analysis of Restaurants Near Lumpini Center, Lat Phrao
5
+
6
+ #### 1. Numerical Data
7
+ - **Number of Competitors:** 21 restaurants found within a 1 km radius.
8
+ - **Commonly Sold Products:** Primarily Thai cuisine, with some international options (e.g., ramen).
9
+ - **Price Range:** Not explicitly provided, but based on average household expenditures, pricing strategies can be inferred.
10
+ - **Competitor Ratings:**
11
+ - Highest Rating: 5.0 (Thai Flavours, Khun Young's Kitchen, several others)
12
+ - Lowest Rating: 3.2 (Yuzu Ramen Thailand)
13
+ - **Community Type:** Urban locality with a mix of residential and commercial areas.
14
+ - **Population Data:** Approximately 12,000 residents in Bang Kapi District.
15
+ - **Household Expenditures:**
16
+ - Average Monthly: 34,000 THB
17
+ - Average Annual: 408,000 THB
 
 
 
 
 
 
 
 
 
 
 
 
18
 
19
+ #### 2. Descriptive Analytical Summary
20
+ - **Target Customers:** The target customers are likely to be local residents, office workers, and visitors to the area, including families and young professionals. Given the high ratings of several restaurants, there is a demand for quality dining options.
21
+ - **Potential Sales and Pricing Strategy:**
22
+ - Given the average household expenditure, a pricing strategy that aligns with the local market is essential. A mid-range pricing strategy (e.g., 150-300 THB per meal) could attract a broad customer base while maintaining quality.
23
+ - Special promotions or loyalty programs could enhance customer retention.
24
+ - **Optimal Price Range:** Based on competitor analysis and household expenditure data, an optimal price range for new restaurant offerings would be between 150-300 THB per dish, ensuring competitiveness while appealing to the local demographic.
25
 
26
+ This report provides insights into the competitive landscape and potential strategies for entering the restaurant market near Lumpini Center, Lat Phrao.
27
 
 
28
 
29
+ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
30
+ quesion:
31
+ Analyze the feasibility of opening a restaurant near Siam Paragon
32
+ error:
33
+ Error code: 500 - {'error': {'message': 'The model produced invalid content. Consider modifying your prompt if you are seeing this error persistently.', 'type': 'model_error', 'param': None, 'code': None}}
34
 
35
 
36
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
37
  quesion:
38
+ ค้นหาร้านของชำใกล้อนุสาวรีย์ชัยฯ พร้อมวิเคราะห์จำนวนประชากร
39
  answer:
40
+ ### Report on Grocery Stores Near Victory Monument and Population Analysis
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
41
 
42
+ #### 1. Numerical Data
43
+
44
+ **Grocery Stores Near Victory Monument:**
45
+ - Total Number of Grocery Stores Found: 10
46
+ - Ratings Range: 0 to 5
47
+ - Average Rating: Approximately 4.0
48
+
49
+ **List of Grocery Stores:**
50
+ 1. **ร้านของชำ 1**
51
+ - Address: 156/5 Phetchaburi Rd, Thung Phaya Thai, Ratchathewi
52
+ - Rating: 3
53
+
54
+ 2. **ร้านของชำ 2**
55
+ - Address: 467 1 Ratchawithi Rd, Thanon Phaya Thai, Ratchathewi
56
+ - Rating: 4
57
+
58
+ 3. **ร้านของชำ 3**
59
+ - Address: 184/4 Soi Phahon Yothin 1, Phaya Thai
60
+ - Rating: 4.5
61
+
62
+ 4. **ร้านของชำ 4**
63
+ - Address: 476 Thanon Asok - Din Daeng, Din Daeng
64
+ - Rating: 4.4
65
+
66
+ 5. **ร้านของชำ 5**
67
+ - Address: 140/6 Ratchawithi Rd, Phaya Thai
68
+ - Rating: 5
69
+
70
+ 6. **ร้านของชำ 6**
71
+ - Address: 8/12 Thanon Asok - Din Daeng, Samsen Nai, Phaya Thai
72
+ - Rating: 4
73
+
74
+ 7. **ร้านของชำ 7**
75
+ - Address: 475 Phaya Thai Rd, Khwaeng Thanon Phaya Thai, Ratchathewi
76
+ - Rating: 5
77
+
78
+ 8. **ร้านของชำ 8**
79
+ - Address: 164 52 Soi Nom Chit, Thung Phaya Thai, Ratchathewi
80
+ - Rating: 0
81
+
82
+ 9. **ร้านของชำ 9**
83
+ - Address: 99 Ratchaprarop Rd, Makkasan, Ratchathewi
84
+ - Rating: 0
85
+
86
+ 10. **ร้านของชำ 10**
87
+ - Address: 59 Makkasan, Ratchathewi
88
+ - Rating: 0
89
+
90
+ **Population Data for Ratchathewi:**
91
+ - Number of Communities: 39
92
+ - Total Population: Approximately 13,000 residents
93
+ - Number of Families: 12,000 families
94
+ - Number of Households: 19,000 households
95
+
96
+ #### 2. Descriptive Analytical Summary
97
+
98
+ **Target Customers:**
99
+ The target customers for grocery stores in the Victory Monument area are likely to be local residents, including families and individuals living in the 19,000 households. The diverse population suggests a mix of income levels and preferences, which can influence product offerings.
100
+
101
+ **Potential Sales and Pricing Strategy:**
102
+ Given the average ratings of the grocery stores (around 4.0), there is a competitive market. Stores with higher ratings (4.4 and above) may attract more customers. Pricing strategies should consider the average household income in the area, which can be inferred from the population data. Competitive pricing, promotions, and loyalty programs could be effective in attracting and retaining customers.
103
+
104
+ **Optimal Price Range:**
105
+ The optimal price range for products should be aligned with the average market prices in the area, taking into account the ratings and customer preferences. Stores with higher ratings may justify slightly higher prices due to perceived quality and service.
106
+
107
+ This report provides a comprehensive overview of the grocery store landscape near Victory Monument and the demographic context, which can be useful for strategic planning and decision-making.
108
 
109
 
110
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
111
  quesion:
112
+ อยากจะเปิดร้านหนังสือแถวๆคู้บอนช่วยวิเคราะห์หน่อย
113
+ answer:
114
+
115
 
116
 
117
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
118
  quesion:
119
+ Search for grocery stores near Victory Monument and analyze the population
120
  answer:
121
+ ### Final Report: Grocery Stores and Population Analysis Near Victory Monument
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
122
 
123
+ #### Part 1: Numerical Data
124
+
125
+ **Grocery Stores:**
126
+ - **Total Grocery Stores Found**: 9
127
+ - **Average Rating of Grocery Stores**: 3.5 (based on available ratings)
128
+ - **Notable Stores**:
129
+ - **YS GROCERY STORE**: Rating 5.0
130
+ - **Lotus’s go fresh**: Rating 4.1
131
+ - **CP Freshmart**: Rating 3.4
132
+ - **Lotus’**: Rating 2.6
133
+
134
+ **Population and Community Data (Ratchathewi District)**:
135
+ - **Total Communities**: 39
136
+ - **Population**: Approximately 13,000 residents
137
+ - **Households**: About 12,000 families
138
+ - **Average Household Expenditure**: 19,000 THB per month
139
+
140
+ #### Part 2: Descriptive Analytical Summary
141
+
142
+ **Target Customers**:
143
+ - The area around Victory Monument is characterized by a diverse population, including local residents and visitors. The presence of various grocery stores suggests a demand for both local and international products, catering to different cultural backgrounds.
144
 
145
+ **Potential Sales and Pricing Strategy**:
146
+ - Given the average household expenditure of 19,000 THB per month, grocery stores can target pricing strategies that align with the spending capacity of the local population. Competitive pricing, especially for essential goods, will be crucial.
147
+ - Stores with higher ratings (like YS GROCERY STORE) may indicate a preference for quality and service, suggesting that customers are willing to pay a premium for better experiences.
148
 
149
+ **Optimal Price Range**:
150
+ - Based on competitor pricing and household expenditures, an optimal price range for grocery items could be set between 30-150 THB for everyday products, ensuring affordability while maintaining quality.
151
+
152
+ This analysis provides a comprehensive overview of the grocery market and demographic landscape around Victory Monument, aiding in strategic decision-making for potential business ventures in the area.
153
 
154
 
155
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
156
  quesion:
157
+ Analyze competitors of a bakery near Chatuchak Market
158
+ error:
159
+ Error code: 500 - {'error': {'message': 'The model produced invalid content. Consider modifying your prompt if you are seeing this error persistently.', 'type': 'model_error', 'param': None, 'code': None}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
160
 
161
 
162
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
163
  quesion:
164
+ ค้นหาร้านกาแฟใกล้มาบุญครอง พร้อมวิเคราะห์จำนวนประชากร
165
+ error:
166
+ Recursion limit of 20 reached without hitting a stop condition. You can increase the limit by setting the `recursion_limit` config key.
167
 
168
 
169
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
170
  quesion:
171
  วิเคราะห์การเปิดร้านอาหารใกล้สยามพารากอน
172
  answer:
173
+ ### Final Report on Opening a Restaurant Near Siam Paragon
174
+
175
+ #### 1. Numerical Data
176
+ - **Location**: Siam Paragon, Bangkok, Thailand
177
+ - **Population**: Approximately 10.5 million (Bangkok)
178
+ - **Community Type**: Urban (mix of residential, commercial, and tourist areas)
179
+ - **Average Monthly Household Expenditure**: 28,000 THB
180
+ - **Average Annual Household Expenditure**: 336,000 THB
181
+
182
+ #### Competitor Analysis
183
+ - **Number of Nearby Restaurants**: 21 within a 1 km radius
184
+ - **Top Competitors**:
185
+ 1. **Angkor Restaurant** - Rating: 4.7
186
+ 2. **The SQUARE Restaurant** - Rating: 4.4
187
+ 3. **Muang Phon Restaurant** - Rating: 4.2
188
+ 4. **Shree Bhavan Pure South Indian Vegetarian Restaurant** - Rating: 4.9
189
+ 5. **Indiagate Restaurant** - Rating: 4.6
190
+ 6. **Jasmine Siam Kitchen** - Rating: 4.7
191
+ 7. **Na Bangkok Thai Street Food** - Rating: 3.3
192
+ 8. **I Food Bar & Restaurant** - Rating: 4.8
193
+ 9. **Citi Bistro** - Rating: 4.5
194
+
195
+ #### 2. Descriptive Analytical Summary
196
+ - **Target Customers**: The area attracts a diverse clientele, including tourists, business travelers, and local residents. The presence of high-end hotels and shopping centers suggests a potential market for both casual and fine dining options.
197
+
198
+ - **Potential Sales and Pricing Strategy**: Given the average household expenditure, a pricing strategy that offers a range of options from affordable to premium can cater to different customer segments. Consider offering lunch specials or combo meals to attract office workers and tourists.
 
 
 
 
 
 
 
 
199
 
200
+ - **Optimal Price Range**:
201
+ - **Casual Dining**: 150 - 500 THB per meal
202
+ - **Fine Dining**: 600 - 1500 THB per meal
203
 
204
+ - **Marketing Strategy**: Collaborate with nearby hotels for promotions, utilize social media to reach tourists, and consider loyalty programs for local customers. Highlight unique selling points such as signature dishes, ambiance, and customer service.
205
+
206
+ ### Conclusion
207
+ Opening a restaurant near Siam Paragon presents a viable business opportunity, but it requires careful planning and differentiation from existing competitors. By understanding the target market and strategically positioning the restaurant, there is significant potential for success.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
208
 
209
 
210
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
211
  quesion:
212
+ วิเคราะห์การเปิดโรงแรมแถวทองหล่อ
213
  answer:
214
+ ### Final Report on Opening a Hotel in Thonglor
215
+
216
+ #### 1. Numerical Data
217
+ - **Location**: Thonglor, Bangkok
218
+ - **Coordinates**: Latitude 13.7424537, Longitude 100.5854359
219
+ - **Competitors**: 10 notable hotels in the area
220
+ - **Competitor Ratings**: Range from 3.2 to 4.7
221
+ - **Room Capacity**: Notable hotels like Hotel Nikko have 301 rooms; pricing starts from approximately 1,800 THB per night.
222
+
223
+ #### 2. Descriptive Analytical Summary
224
+ - **Target Customers**: The Thonglor area attracts a mix of local and international tourists, young professionals, and expatriates. The demographic is likely to be affluent, seeking quality accommodations with modern amenities.
225
+
226
+ - **Potential Sales and Pricing Strategy**:
227
+ - **Pricing Strategy**: Given the competitive landscape, a pricing strategy should be competitive yet reflective of the quality and services offered. A price range of **1,800 to 3,500 THB per night** could be optimal, depending on the level of luxury and services provided.
228
+ - **Sales Potential**: With a growing number of visitors to Thonglor, especially in the hospitality sector, the potential for high occupancy rates exists, particularly if the hotel can offer unique experiences or services that differentiate it from competitors.
229
+
230
+ - **Optimal Price Range**: Based on competitor analysis and market demand, an optimal price range for the new hotel should be between **2,000 to 3,000 THB per night**, allowing for flexibility in promotions and packages.
231
+
232
+ This report provides a foundational understanding of the hotel market in Thonglor, highlighting opportunities and strategies for a successful launch. Further research into customer preferences and local attractions could enhance the business plan.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
233
 
234
 
235
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
236
  quesion:
237
+ ร้านกาแฟใกล้เซ็นทรัลเวิลด์
238
  answer:
239
+ ### Final Report on Coffee Shops Near Central World
240
+
241
+ #### 1. Numerical Data
242
+
243
+ **Coffee Shops Nearby:**
244
+ - Total Coffee Shops Found: 21
245
+ - Notable Coffee Shops:
246
+ 1. **Fellas.coffee @soi tonson** - Rating: 4.9
247
+ 2. **Earthy Roaster (Specialty Coffee)** - Rating: 4.8
248
+ 3. **Salotto Coffee** - Rating: 5.0
249
+ 4. **The Basic Coffee BKK** - Rating: 4.7
250
+ 5. **TABLA Craft Coffee** - Rating: 4.6
251
+ 6. **Sip 'n Drip** - Rating: 4.9
252
+ 7. **RISE COFFEE - Flagship Store** - Rating: 4.8
253
+ 8. **You Drink Coffee** - Rating: 4.5
254
+ 9. **Rich Coffee** - Rating: 5.0
255
+ 10. **Baankhunlek coffee (Centralworld Offices)** - Rating: 5.0
256
+
257
+ **Population Data:**
258
+ - **Pathum Wan**:
259
+ - Population: ~22,000
260
+ - Average Monthly Expenditure: 45,000 THB
261
+ - Average Household Size: 4
262
+ - **Ratchathewi**:
263
+ - Population: ~39,000
264
+ - Average Monthly Expenditure: 39,000 THB
265
+ - Average Household Size: 3
266
+
267
+ #### 2. Descriptive Analytical Summary
268
+
269
+ **Target Customers:**
270
+ The target customers for coffee shops in the vicinity of Central World are likely to be urban professionals, tourists, and local residents. Given the high ratings of the coffee shops, customers are likely to prioritize quality and unique offerings.
271
+
272
+ **Potential Sales and Pricing Strategy:**
273
+ - **Pricing Strategy**: Given the average household expenditures in the area, a pricing strategy that aligns with the premium offerings of the top-rated coffee shops (ranging from 100-200 THB per cup) would be optimal. This price range is competitive yet reflects the quality expected by the target demographic.
274
+ - **Sales Potential**: With a population of approximately 61,000 in the surrounding areas and a high density of coffee shops, there is significant potential for sales, especially if the shop can differentiate itself through unique offerings or exceptional customer service.
275
+
276
+ **Optimal Price Range:**
277
+ - Based on competitor pricing and customer expectations, an optimal price range for coffee products would be between 100-200 THB. This range is supported by the high ratings of existing coffee shops, indicating that customers are willing to pay for quality.
278
+
279
+ ### Conclusion
280
+ The coffee shop market near Central World is competitive but offers significant opportunities for new entrants that can provide high-quality products and exceptional service. Understanding the demographics and spending habits of the local population will be crucial for success.
281
 
282
 
283
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
284
+ average execution time: 21.165069699287415sec.
tools.py CHANGED
@@ -135,6 +135,7 @@ def nearby_dense_community(input_dict: NearbyDenseCommunityInput) -> str:
135
 
136
  def google_search(input_dict: GoogleSearchInput):
137
  """Search Google for recent results."""
 
138
  return search.run(input_dict['keyword'])
139
 
140
 
 
135
 
136
  def google_search(input_dict: GoogleSearchInput):
137
  """Search Google for recent results."""
138
+ print(input_dict['keyword'])
139
  return search.run(input_dict['keyword'])
140
 
141