TypeScript 97.4%
SQL 1%
JavaScript 0.9%
CSS 0.6%
1[2 {3 "label": "stream:gpt-5.5",4 "ok": true,5 "ms": 1746,6 "result": {7 "event_order": [8 "response.created",9 "response.in_progress",10 "response.output_item.added",11 "response.output_item.done",12 "response.content_part.added",13 "response.output_text.delta",14 "response.output_text.done",15 "response.content_part.done",16 "response.completed"17 ],18 "counts": {19 "response.created": 1,20 "response.in_progress": 1,21 "response.output_item.added": 2,22 "response.output_item.done": 2,23 "response.content_part.added": 1,24 "response.output_text.delta": 7,25 "response.output_text.done": 1,26 "response.content_part.done": 1,27 "response.completed": 128 },29 "samples": {30 "response.created": {31 "type": "response.created",32 "sequence_number": 0,33 "response": "<omitted>"34 },35 "response.in_progress": {36 "type": "response.in_progress",37 "sequence_number": 1,38 "response": "<omitted>"39 },40 "response.output_item.added": {41 "type": "response.output_item.added",42 "item": {43 "id": "rs_0ec191d8562227d8006a9f92ce1a8487d1bae378a7cc3c320c",44 "type": "reasoning",45 "content": [],46 "encrypted_content": "gAAAAABqn5LOQb0KV7Mhamf-k0Uxi8a2brPlFJNTCiY983AtAF6S0s1vFEpXFPYI5UedqP1OUJiPG6JVtMimPHWTxTKToNAOh5Tc_GYVeC9K2M6OJPgmGzpomjL7nh9GcWE7SGvRJDnmyza6qLROFyraZpyIRreWuMbRnUNnkHSVlt_MQc_OxrGkcdq2GSmQDqzUv0Lv5BP2RaN3KzAhywWP8gTGwhfl1-Byf_WMrPENCIep7oaJJlm_60LG11DN-65DNnWj1R1K0Q56S0rDA2u3gQEMqkNGttYKO0L4DIbyou_w8qYqqmnRXslwB8eF9xT5G0ALsbxT12aD44s_CTtsWbbDvuiypMqlZAudF2EG2glfjDSz_W_HrZa1wBeDrEGHfOyWK2gx7QNeBHQn2UIM9Elg3HNI1OLgntcbhugB7T4GgbZ_He8-jsITQP-I7E5ICOwAg1nlJpU9qwpVw2Br-Os6Fdu6lbam0XxtQ5RgsXu5Fyu0yKGgPCaAyuVQ5trwevkHs4xOrsgouIiqslWdaCjb37FeG_0fXcAQT_NZspVWGQ_36ZSPuwtotnQi5Bc3bI9pcOivglrV0-K5E-cC5KhUfaVtXuM4QAGrEmNTuPOxLWFFQNLlRtbwGPurG3z_wKvOOq_HkHbHXE32xYzz4sKzNqBO9Mm5sP5G6To4lmd9mfoBxStVTwU-0eERoUZoJ6M-t6wvVok3qykZES3mqCprfDMm9aZyQUI2mqj5QPcEzFJLQh0a85ja7eg4sNfoIydIlr9Kv3crdF5DZyfMG16lQRsbm50K9vaYt3qPLCWIE-5f10xc8okFuXQnVnKleIMVbeLiOuNcTdt2JEQGlrshf1QIZ6LUBOd-T1YgkuzZI8cYiUsV75rqcALCB1PjE1LKuOcMSSZraQ5HBbEb8Hy75Ah2k42CGbyrpD_n33m9Xs1pJBj4gUYORfkUj9nHaDVtsja8YMB3SMKFTQE47Gm2tVSxup2WQEF5_USc6mPu6pSWEcUZkdGw0L4HcZD8XmE9-PVmnzFCuu3gYnXDREd7-F1TKX9qJiwJRsxLoCIpTrTA3HXYQP-mLP48oVp33GG57AlZhAmqjg-vgOvUqJ1npvu7_EIyIaW-KNSlfySSn5G0VookF_w7JJKcfkXyO8d_PfQxJiyYtwWLaFBBhX1Y28JFVg==",47 "summary": []48 },49 "output_index": 0,50 "sequence_number": 251 },52 "response.output_item.done": {53 "type": "response.output_item.done",54 "item": {55 "id": "rs_0ec191d8562227d8006a9f92ce1a8487d1bae378a7cc3c320c",56 "type": "reasoning",57 "content": [],58 "encrypted_content": "gAAAAABqn5LO6iqwrXOZ4l9v5TpAprmwEjshyTcLeWr8AkrVNU01_CfXB_ueTjzyl9XpMnO95tlY1P8LoUrgKTfGWORBISD1mSGnEVzyJjno07TMcg1ZnvSaW8MQyID_hVf0rLHt7fWbB2aly9rXS3VMcnTc8K3yangBtxcxD9pprkI3hzoApEcOye-E2-aYMTloyxl-VdV8GZahldEuTsVABGaw4VZWDQMCZUl8eH8mrKJmxG36_L7KIvbpVLnGxD9EOYL7UXg9phpmpu86VBLjwKDCwuxpUx3hSfTsHdlKIpE1WpJ343FmWeL6yVbkREAA2l8i8RxOLsuCFpQ2HOn6CIGSSq5OwWnMsvg7GBjxh1FlHFXm3Ch1dQdHR-bl6W68VOT3YGLZCycgqvdBsd5mBiJ3gMwEfMiCa4QEg2x8WnidGMJ05ePPmcGo6HTs48MzOqjx5CQJkh0MzzzmASERK8QlfY5VWhW4R9I-zyn1AKhqVd889K6C0QsPkl4RbOCJFE4aVmDguVhYfP2vgzJ1vkGl3UkHz6kzANywwb4SH6M9JLQhqJOm3e043o952bLdo9XEXzBH7qfFRyH6CEitUz6FkYF--xyxw-nwlT9epDkX4PKW5q_UmqXVm0TGSg_1kW1_CNkyUv7rvFT7iYLcwh7SHe5lY8W8n4mNQdbNn_WN9uhoko7ZPVtLlXZaGbdjdinIe00GAqoCgPRLtMhUTLcqGuYlLPPoJh4TyfBkzKDUNz6EEpTgev05EPl3MRh5ZaEQGMgUJRds_VuaLFqpDNB7j_6ugaw_2gKHovU8c03W6k4ueLNCgd-wGmKmQcb_ySqFgD6G316S9RaHjAQ3wZUozE4zBUyMjGpa19hBp64oody6T0AjhGxQnbmMi5AqEbQXAys6XiNRWieP8uGMAo2FX6DgE5pkYtfWVmwyMcQpbH8EDIYEwOl98IRG7chtvDI4lFwWOpPPN-LrHiQQ-gSBnNcP-68kaWkwjZhq79JBEKlFdmj4wJYZU9R6fC67-rANLsf_rJbMIXJnpd802ma2D129iGgjqWEu13lPzOS14t25pNLPa88wX2omnuJc0PjrI_MSyqn_OskYk8foSBj6V32V7e7f9EKyUq_bMscxrcyUInwXAvAzIqX2IOmfPrCSe3Zcfl6jAl6-kSZw4zlrcx6cNrINP7zsIMnfzsUeFM1Iw6K0pAbmu2w8Obfdds0Djfq3OSeZfwoao7oz4bt1OPYmFh0q9c5vj7Kt84eDwDQzJiaiQ_gGczHltxr_u9wjqghg9vp91dvi9SrDfXdhwyOhAqmDIz9iyQpfZILqwypLlTw=",59 "summary": []60 },61 "output_index": 0,62 "sequence_number": 363 },64 "response.content_part.added": {65 "type": "response.content_part.added",66 "content_index": 0,67 "item_id": "msg_0ec191d8562227d8006a9f92ceab4c87d19e9be46ccb36be11",68 "output_index": 1,69 "part": {70 "type": "output_text",71 "annotations": [],72 "logprobs": [],73 "text": ""74 },75 "sequence_number": 576 },77 "response.output_text.delta": {78 "type": "response.output_text.delta",79 "content_index": 0,80 "delta": "Hello",81 "item_id": "msg_0ec191d8562227d8006a9f92ceab4c87d19e9be46ccb36be11",82 "logprobs": [],83 "obfuscation": "K4A4SnAOymk",84 "output_index": 1,85 "sequence_number": 686 },87 "response.output_text.done": {88 "type": "response.output_text.done",89 "content_index": 0,90 "item_id": "msg_0ec191d8562227d8006a9f92ceab4c87d19e9be46ccb36be11",91 "logprobs": [],92 "output_index": 1,93 "sequence_number": 13,94 "text": "Hello, hope you are well."95 },96 "response.content_part.done": {97 "type": "response.content_part.done",98 "content_index": 0,99 "item_id": "msg_0ec191d8562227d8006a9f92ceab4c87d19e9be46ccb36be11",100 "output_index": 1,101 "part": {102 "type": "output_text",103 "annotations": [],104 "logprobs": [],105 "text": "Hello, hope you are well."106 },107 "sequence_number": 14108 },109 "response.completed": {110 "type": "response.completed",111 "sequence_number": 16,112 "response": "<omitted>"113 }114 },115 "text": "Hello, hope you are well.",116 "sequence_numbers_monotonic": true,117 "final": {118 "id": "resp_0ec191d8562227d8006a9f92cd85b087d18bfe0507b0e4733a",119 "model": "gpt-5.5-2026-04-23",120 "status": "completed",121 "incomplete_details": null,122 "service_tier": "default",123 "store": true,124 "output_item_types": [125 "reasoning",126 "message[output_text]"127 ],128 "output_text": "",129 "usage": {130 "input_tokens": 12,131 "input_tokens_details": {132 "cache_write_tokens": 0,133 "cached_tokens": 0134 },135 "output_tokens": 45,136 "output_tokens_details": {137 "reasoning_tokens": 32138 },139 "total_tokens": 57140 },141 "reasoning": {142 "context": "current_turn",143 "effort": "medium",144 "mode": "standard",145 "summary": "detailed"146 },147 "text": {148 "format": {149 "type": "text"150 },151 "verbosity": "medium"152 },153 "temperature": 1,154 "top_p": 0.98,155 "truncation": "disabled",156 "max_output_tokens": 200157 }158 }159 },160 {161 "label": "stream:gpt-5.4-mini",162 "ok": true,163 "ms": 1125,164 "result": {165 "event_order": [166 "response.created",167 "response.in_progress",168 "response.output_item.added",169 "response.content_part.added",170 "response.output_text.delta",171 "response.output_text.done",172 "response.content_part.done",173 "response.output_item.done",174 "response.completed"175 ],176 "counts": {177 "response.created": 1,178 "response.in_progress": 1,179 "response.output_item.added": 1,180 "response.content_part.added": 1,181 "response.output_text.delta": 8,182 "response.output_text.done": 1,183 "response.content_part.done": 1,184 "response.output_item.done": 1,185 "response.completed": 1186 },187 "samples": {188 "response.created": {189 "type": "response.created",190 "sequence_number": 0,191 "response": "<omitted>"192 },193 "response.in_progress": {194 "type": "response.in_progress",195 "sequence_number": 1,196 "response": "<omitted>"197 },198 "response.output_item.added": {199 "type": "response.output_item.added",200 "item": {201 "id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8",202 "type": "message",203 "status": "in_progress",204 "content": [],205 "phase": "final_answer",206 "role": "assistant"207 },208 "output_index": 0,209 "sequence_number": 2210 },211 "response.content_part.added": {212 "type": "response.content_part.added",213 "content_index": 0,214 "item_id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8",215 "output_index": 0,216 "part": {217 "type": "output_text",218 "annotations": [],219 "logprobs": [],220 "text": ""221 },222 "sequence_number": 3223 },224 "response.output_text.delta": {225 "type": "response.output_text.delta",226 "content_index": 0,227 "delta": "Hello",228 "item_id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8",229 "logprobs": [],230 "obfuscation": "AHq0xcxicK6",231 "output_index": 0,232 "sequence_number": 4233 },234 "response.output_text.done": {235 "type": "response.output_text.done",236 "content_index": 0,237 "item_id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8",238 "logprobs": [],239 "output_index": 0,240 "sequence_number": 12,241 "text": "Hello there, nice to meet you."242 },243 "response.content_part.done": {244 "type": "response.content_part.done",245 "content_index": 0,246 "item_id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8",247 "output_index": 0,248 "part": {249 "type": "output_text",250 "annotations": [],251 "logprobs": [],252 "text": "Hello there, nice to meet you."253 },254 "sequence_number": 13255 },256 "response.output_item.done": {257 "type": "response.output_item.done",258 "item": {259 "id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8",260 "type": "message",261 "status": "completed",262 "content": [263 {264 "type": "output_text",265 "annotations": [],266 "logprobs": [],267 "text": "Hello there, nice to meet you."268 }269 ],270 "phase": "final_answer",271 "role": "assistant"272 },273 "output_index": 0,274 "sequence_number": 14275 },276 "response.completed": {277 "type": "response.completed",278 "sequence_number": 15,279 "response": "<omitted>"280 }281 },282 "text": "Hello there, nice to meet you.",283 "sequence_numbers_monotonic": true,284 "final": {285 "id": "resp_03a68306fdd7f696006a9f92cf28fc87d1850797ef9da5714f",286 "model": "gpt-5.4-mini-2026-03-17",287 "status": "completed",288 "incomplete_details": null,289 "service_tier": "default",290 "store": true,291 "output_item_types": [292 "message[output_text]"293 ],294 "output_text": "",295 "usage": {296 "input_tokens": 12,297 "input_tokens_details": {298 "cache_write_tokens": 0,299 "cached_tokens": 0300 },301 "output_tokens": 12,302 "output_tokens_details": {303 "reasoning_tokens": 0304 },305 "total_tokens": 24306 },307 "reasoning": {308 "context": "current_turn",309 "effort": "none",310 "mode": "standard",311 "summary": "detailed"312 },313 "text": {314 "format": {315 "type": "text"316 },317 "verbosity": "medium"318 },319 "temperature": 1,320 "top_p": 0.98,321 "truncation": "disabled",322 "max_output_tokens": 200323 }324 }325 },326 {327 "label": "stream:gpt-5.6-sol",328 "ok": true,329 "ms": 2200,330 "result": {331 "event_order": [332 "response.created",333 "response.in_progress",334 "response.output_item.added",335 "response.reasoning_summary_part.added",336 "response.reasoning_summary_text.delta",337 "response.reasoning_summary_text.done",338 "response.reasoning_summary_part.done",339 "response.output_item.done",340 "response.content_part.added",341 "response.output_text.delta",342 "response.output_text.done",343 "response.content_part.done",344 "response.completed"345 ],346 "counts": {347 "response.created": 1,348 "response.in_progress": 1,349 "response.output_item.added": 2,350 "response.reasoning_summary_part.added": 1,351 "response.reasoning_summary_text.delta": 86,352 "response.reasoning_summary_text.done": 1,353 "response.reasoning_summary_part.done": 1,354 "response.output_item.done": 2,355 "response.content_part.added": 1,356 "response.output_text.delta": 7,357 "response.output_text.done": 1,358 "response.content_part.done": 1,359 "response.completed": 1360 },361 "samples": {362 "response.created": {363 "type": "response.created",364 "sequence_number": 0,365 "response": "<omitted>"366 },367 "response.in_progress": {368 "type": "response.in_progress",369 "sequence_number": 1,370 "response": "<omitted>"371 },372 "response.output_item.added": {373 "type": "response.output_item.added",374 "item": {375 "id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764",376 "type": "reasoning",377 "content": [],378 "encrypted_content": "gAAAAABqn5LQFvoHOpGkyOu7HOIJ8x0lJagWtKzmSthLqmlrTyBmjhQzD3x6LdUfI1Why4dVpO_RD9rqJgkQV-zPpoxqTYEKiqZkuqHi4JzF7LfJ6FbRXu94N8TjPTBsgbkbhgac7qBqy750uTnyJDoHOWOct3h0NaEu4GFruecwZaIP_FVZdpyNak44oW4VbIndhu4bQSA7jkqSTsiYoHta4Hz7Cy6Tng4fjGDdiq6N4hARhreImDnvdKAdrnxF3Grlc-sVGZyG2tUfySn0pvg859AyDo0pBxMi9uIkqc8yzkL8LRZuOkYnIgwQ7CSI8inYUx4it0GycKaPohITP1nEOYyCyvuuhEAz4g47BtxfiQy1bYvcMuDaFsXsB2Fsc_MwnbSnAAnN3NIr4NMop8pBtveC-2qfn70Z4GSFfVyKux64YsvrHksddR5ZXnLjzW5larUblh7U_wRxnvlzhwxHB4mNcDEPo7qpxcKv55D2VWLcgo4u4jOZp8iPS0KABlYHXF1VVlV_I76VOuPB72bILqQHO_6ItMYluZuYEu7l9plM-9cuHP-hg89TK6vNl6EB8Wx41dwx_mopbFhLTNYzkGRA0ZHgOuhubvKpZQeM0SBgWQrXmdPDHSymcN5YdQtHTLUvZfHGE0GadVkPwUeBT8VTs2lkyD-8Ne6DfLjKYJ8gT-KodJBeK2OfKjBC8G0TmXYcPGjOjE1j0oMK0JDveCuXPHQxnXsbd6i0DW1xx_aD1k3GdFEUhqwsmvsr67yDUlXCHr7SwKR_Jaf4paDQ88Un4EG5mJIFAT9Z4gloOPEeBOjSvpjshxlKzZ4g-v1hKYeB4SWAFO0u7TKKWFhvrYCOq1OjiHNRAaDL93oBZiksvZemefPje4nXuDnqbmoIw8m5FKCF5CX3dKDxlC_yA-_LD5d9ZbshfxA9RgGsAktq14VR-2CPK_ov61I3aRd6vvkH-EnKpsmsX9WjJWPnu5zjyKI4exkXxvLHVYCRBeFotlT4sEA41nP8d9aHki3ADoT3i_XdwmqwoSGNl11dRFLmSqfHXyR9zPKUkXBJAdyxwVDAno8MQRFkKuxMIpkIq26zPsKD5mg14O-ohIKTVDoUpeuoyKmrz8G1RKOjdtvScmQ4nffYFokxaI0jQGwvNRYyC955TUWiHJhBuKLe-GiE6pZp6g==",379 "summary": []380 },381 "output_index": 0,382 "sequence_number": 2383 },384 "response.reasoning_summary_part.added": {385 "type": "response.reasoning_summary_part.added",386 "item_id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764",387 "output_index": 0,388 "part": {389 "type": "summary_text",390 "text": ""391 },392 "sequence_number": 3,393 "summary_index": 0394 },395 "response.reasoning_summary_text.delta": {396 "type": "response.reasoning_summary_text.delta",397 "delta": "**Counting words in a phrase**\n\nI",398 "item_id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764",399 "obfuscation": "AJlxiqi3Hb77BdY",400 "output_index": 0,401 "sequence_number": 4,402 "summary_index": 0403 },404 "response.reasoning_summary_text.done": {405 "type": "response.reasoning_summary_text.done",406 "item_id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764",407 "output_index": 0,408 "sequence_number": 90,409 "summary_index": 0,410 "text": "**Counting words in a phrase**\n\nI need to create a phrase with exactly five words. The phrase is, \"Hello there, hope you're well!\" When I count the words, I get: Hello1, there2, hope3, you're4, well5. That's perfect! So, I just need to ensure I keep it to these five specific words in the phrase. It's always good to double-check, right? Gotta keep it concise and clear!"411 },412 "response.reasoning_summary_part.done": {413 "type": "response.reasoning_summary_part.done",414 "item_id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764",415 "output_index": 0,416 "part": {417 "type": "summary_text",418 "text": "**Counting words in a phrase**\n\nI need to create a phrase with exactly five words. The phrase is, \"Hello there, hope you're well!\" When I count the words, I get: Hello1, there2, hope3, you're4, well5. That's perfect! So, I just need to ensure I keep it to these five specific words in the phrase. It's always good to double-check, right? Gotta keep it concise and clear!"419 },420 "sequence_number": 91,421 "summary_index": 0422 },423 "response.output_item.done": {424 "type": "response.output_item.done",425 "item": {426 "id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764",427 "type": "reasoning",428 "content": [],429 "encrypted_content": "gAAAAABqn5LSSyrXh9HTNO0TB49KwcQJtIkQ3Bieg4fX_Ad5Fj4IUqv76MjG_MwxxfvulMi0ypChCuAkkA2E52RCRWDi44DfiFqupfw6Gyb5AgP_wheRSwjchym8btvoNvHbKbdMxnSZKyXMHjkYMivKRjCHcNPV0P_plsWhACR7TC1s6nsqWQ_rOnzDZr2Ci9MswOwc2hag-xOgw6-zTqHo68upO6Ms1xlZ2a_EapclAov2YnwG6t60T7uNxwkh9n7ieL2ZByBzetsMMjVTVlOudiplCQIzTQdYKAxRSYh3toRwIdx564BxE3BxA4k1zCIc0SsabtHAg4PVHFphvEGgZAAVkIU8rDCSO9_i8KwMvtXXimef1_7jydUfDXMcK0i-DsQhcis1V1keePSuem48BGeCbehDxnVD-bTNVzJCxb1K4kFS4zrtwU3NWn-TemoASLdhh0QO6gT3T1EhcsJ305N1bXg4VbAbJJk_KxCBW27AFGKiIN-ZJwZDdfAMDHCN7eXPSdkbFlSxC80zKqC_A1dBJ3meol5mlFc_11Hg7spO1idysnBguuSeJbyzGIE3gWXqyWu6mNTs-GZUx06clGsF-lUzFkLl5LZ-T2Vu24UnnNJ7uqJEwVdimlxgQEdzipjmX5FlKNcXgTFNUPdzSrmruDeYf6ZGxaAvguyW7xry6T26uxYGPAzzqBxA1IpA6xv0dYo2ZNyGxNcsBfA2NILgOcEnOGvPjvjwySRgMV42EXMOEubVxxxDH1yLqDfJaR9NvG9Tt4rX5hA3jnoPMKhV6iVpnuViGiMr5FJ9Pwf1IUC4gFUZxkpHG6fGoc1HhYQ3_cKrHEo3o5OfJE6iqJ8TCeUfEoS1VBrWwGCSVwmbQ--7kbFNhuTCzKlmVJ1k36rHIAdDqy8hsLZADPCoZlXvAOnjPCsg_yk9b7z7uPPxJxHK8a8W31zM1WCnUQ_Ww0DuU2-ZWiXUHvMkYWhiok896X23W9-txcFz8jZfEp1hK28xj_1JSY8POMAvbgEBZzmZBQNYI3DmaRR3DunqvSv40gC4G5Ht1DaUecyoAEP84akkeJ5slBSgeBnBJmZHhuP-WFqEqOHcYXvkh_-H7_vVp51MClTLKzM5r2nmQeChX6kEE5w9j_PRoFz9VFzKo447d3zAXJ3zWcqRFmzm13tQrjDZw9K9OERag7yYj8AtHFIez-CheaxoF97j7sb-A5hilCS7FgJ02RoTshgf116oF0lLBz45LtPwa8b_0K5n_kxJhAHfzTBbrL3EGVpNKa-JzG-s-_dAraKrMjZPGIbBV4EnUkqtcjvGD8UEZPi75Dz4hLM=",430 "summary": [431 {432 "type": "summary_text",433 "text": "**Counting words in a phrase**\n\nI need to create a phrase with exactly five words. The phrase is, \"Hello there, hope you're well!\" When I count the words, I get: Hello1, there2, hope3, you're4, well5. That's perfect! So, I just need to ensure I keep it to these five specific words in the phrase. It's always good to double-check, right? Gotta keep it concise and clear!"434 }435 ]436 },437 "output_index": 0,438 "sequence_number": 92439 },440 "response.content_part.added": {441 "type": "response.content_part.added",442 "content_index": 0,443 "item_id": "msg_0b08387abdebfbdc006a9f92d20c0c87d197d6955af76e35c9",444 "output_index": 1,445 "part": {446 "type": "output_text",447 "annotations": [],448 "logprobs": [],449 "text": ""450 },451 "sequence_number": 94452 },453 "response.output_text.delta": {454 "type": "response.output_text.delta",455 "content_index": 0,456 "delta": "Hello",457 "item_id": "msg_0b08387abdebfbdc006a9f92d20c0c87d197d6955af76e35c9",458 "logprobs": [],459 "obfuscation": "B7hX9jTrkiR",460 "output_index": 1,461 "sequence_number": 95462 },463 "response.output_text.done": {464 "type": "response.output_text.done",465 "content_index": 0,466 "item_id": "msg_0b08387abdebfbdc006a9f92d20c0c87d197d6955af76e35c9",467 "logprobs": [],468 "output_index": 1,469 "sequence_number": 102,470 "text": "Hello there, hope you're well!"471 },472 "response.content_part.done": {473 "type": "response.content_part.done",474 "content_index": 0,475 "item_id": "msg_0b08387abdebfbdc006a9f92d20c0c87d197d6955af76e35c9",476 "output_index": 1,477 "part": {478 "type": "output_text",479 "annotations": [],480 "logprobs": [],481 "text": "Hello there, hope you're well!"482 },483 "sequence_number": 103484 },485 "response.completed": {486 "type": "response.completed",487 "sequence_number": 105,488 "response": "<omitted>"489 }490 },491 "text": "Hello there, hope you're well!",492 "sequence_numbers_monotonic": true,493 "final": {494 "id": "resp_0b08387abdebfbdc006a9f92d0419487d198c053a311216fdb",495 "model": "gpt-5.6-sol",496 "status": "completed",497 "incomplete_details": null,498 "service_tier": "default",499 "store": true,500 "output_item_types": [501 "reasoning",502 "message[output_text]"503 ],504 "output_text": "",505 "usage": {506 "input_tokens": 12,507 "input_tokens_details": {508 "cache_write_tokens": 0,509 "cached_tokens": 0510 },511 "output_tokens": 44,512 "output_tokens_details": {513 "reasoning_tokens": 31514 },515 "total_tokens": 56516 },517 "reasoning": {518 "context": "all_turns",519 "effort": "medium",520 "mode": "standard",521 "summary": "detailed"522 },523 "text": {524 "format": {525 "type": "text"526 },527 "verbosity": "medium"528 },529 "temperature": 1,530 "top_p": 0.98,531 "truncation": "disabled",532 "max_output_tokens": 200533 }534 }535 },536 {537 "label": "stream:gpt-6-astra",538 "ok": true,539 "ms": 2911,540 "result": {541 "event_order": [542 "response.created",543 "response.in_progress",544 "response.output_item.added",545 "response.output_item.done",546 "response.content_part.added",547 "response.output_text.delta",548 "response.output_text.done",549 "response.content_part.done",550 "response.completed"551 ],552 "counts": {553 "response.created": 1,554 "response.in_progress": 1,555 "response.output_item.added": 2,556 "response.output_item.done": 2,557 "response.content_part.added": 1,558 "response.output_text.delta": 8,559 "response.output_text.done": 1,560 "response.content_part.done": 1,561 "response.completed": 1562 },563 "samples": {564 "response.created": {565 "type": "response.created",566 "sequence_number": 0,567 "response": "<omitted>"568 },569 "response.in_progress": {570 "type": "response.in_progress",571 "sequence_number": 1,572 "response": "<omitted>"573 },574 "response.output_item.added": {575 "type": "response.output_item.added",576 "item": {577 "id": "rs_025b4f269102c29e006a9f92d38f1087d1bdd8c3fb6016ebda",578 "type": "reasoning",579 "content": [],580 "encrypted_content": "gAAAAABqn5LT0lX3hodEK9MetbNW62AfDVyGtYcjIsqWHWz-se7z9JIuEHBabwOPHIU7ih5lEqStrrrBhVHTjOln6zktATV6AhIiETCt61lygjiaiUpmIJMFpgw1tQvHTmBaYCimEJXsUPrxPsseh_TsxHJUX5zkKXT1gmamEJe03KDn9ZGCrDs54pPMEoSjdtcdVug-GYN-Pc67dlBjv3HqRWuoYwpilAf-32rvSAzkPEN16Sm801ljbJW2PiYAOP9xgl1BnJqteaJxBf1ecLizh4gHrr_FStyzfE6W041aow0XDg4g6V9dV-AYsC4j98XFgx16jpZ2azBEg9okTlI1Do6cNP6o4NMn8eOzFBDOHSfAuThHdbrRP3_hOyj7W1RlmqcxouQuC5ZeoWDJuA82E6csFzv05ku-BIKSwhuQoWUzMhomPiX4DgG_M2IK9ikGs0oybCcExANXvDTNar5wmgdp479jp_jWEAYQBfw9Y5ykDwCbjpuluBM42gxbpj3ZUflw0H3z9VBIz2bi7t3emuaZOnj3OOxvgMwMmgGHpHtXNCsWqHTVQsBRO-mfOzHM1PDf3BNcEOpor0Ltu__qA6vnvp_Jx_UJN3h4rF3U9M289rWCdXhv5U_6SXJ-jkWeTbBytucUrw9B2PKl9OfPzTqMAwdkEWFmdqmiv0RWKkYTG3_tOb_nl-l_KVKmeL6fUNyInXPp6ZLpu8yRPTy5hzP8eBYbAKuN8YDFqQU3t9C12D-Qo1X9NPGlmcOKu0BMdO9P-sqt17fJlGmvg8lETNZk-Kh9aI3IgITUK3hM09K5bUuDDlwTQ1bPXheloYzNPxwiQTLPZv4A_MzIOKe62T_9QJV9k-TfHn-C7SzqVRqdrwg3uvNGDOvNZgsuV7N85cEnz2TW-wee2zCavbVrFzrqQZfmLpdaUqcGXvsaRBMRiWZ2G-g4qjKeBSj7NX09oyP0WP94blFm_YGWJf_bkZO32TeoJmV_GWbwOUghg7L3ZyYs06N9GfEvo2gl7R0_-0UzJCiUUubqGtnL1SfxVOUYqAgvfodCYeJiwY70o1ZOFyA0WvGJcoR0vP1JOWwooQN4vrbpQfwjVdBe1dPEMeV7NCuAgWAF80x1Tk9L-IuumXNEY7f2DUOet3v_gJj7SFeiaXwZAi_Jd5vB4z3hRSFfO7f3_A==",581 "summary": []582 },583 "output_index": 0,584 "sequence_number": 2585 },586 "response.output_item.done": {587 "type": "response.output_item.done",588 "item": {589 "id": "rs_025b4f269102c29e006a9f92d38f1087d1bdd8c3fb6016ebda",590 "type": "reasoning",591 "content": [],592 "encrypted_content": "gAAAAABqn5LUMDmi6Z392RNKDOWR8mubLWMQnwv-nmLG-1d7h3A7o4g9tgKuNar_No6hUfTzF-9tPGFR8bpquLldZEfIsv7eUbS7b_OfFyiq_bBMwJCL-T_RC37Eu9fXHpXVdP-jb-5QRrto51RMgUiKheSQnkqXNW037K68RnsScY8NfFDf5VyXAV36frc5ur0Mngx7Ys7AFkn_6q6CTSIMcVM1TtiQzyNXyshbf3gUqnT5nywRSVwvHM4liDIS9hd9mwksUKAFIFsITIQ_LsPve2UxBqCDftmRkVKr0zzUBLtqYynM-_6nwFTi3F7Kr8KmCpkGbUqhqzx1GLjCZJt2Onnz-L5OOuoRhghF64b0yKTq2Tbnm6y5xo-ttTjMVG3EoWqAzfEbcF4aCs5iI3hjCXJ8Z5G84ktcL2Uy1BU25olpADstqWtlsPFpjY6Z2LlmWuTMeWcdh32IEtnkN2n_gnAEjvOHKMPmB7joDt9qhWruTH3nuKEdyf9AMtFw2JkJ5RBKZAaSL626qw9wx37DedLQryUqjtXBi2P_o8RCyYKuFsbwNv8d1hySHGjxIfaeQDAoYHKQDGcpPOIEfya_MBH4EMRRQdsh8n_m0CSL_Pqhaoo2IQOKmNHTGAjVirrq9JDEpEhn1Z87qfRC1vwaXDL_ctbmeRNDGcMtcozrOqqUPHF9liFyAjwpFFlW0_N1d7cDMJ-BEnpIyk8KvKpYqAVSltA-SRrUDO5Q84qPhkfEdXhDrTT0kYHz3Nv7Qn5tNZXnrfcUbLZRgyeWwqaqCPRMQp7bTJatzop6RsnacRDWiu7375RB3xvmso3ByTPkDmCSyA1UMBIZ7P7lDDB3yNeRN2-eu9_fTlxcZixz0D_x14heefw7Qfmb3paa8H3vlb7JVGVNm-fKJrLPB2LHMJHEDaK_jF06-wN70_gru2bs8uiNugEfkVdkqmv-iwt5nWWRjB57LLsNLcum7AS3viQ4Fg_HpmbfCJS91GDC1bgLutvPMo5jeZ0kEmg-ESNe-0TJORyZTFnkELPng-cEjBa6N_Wbu6po4A-N7gCRtUNvsVtkGnkxEGPOLDOd991HwzPfQnh8hFOxqrteZcXOCE8GUXD5FZJetQFcI39iFb_DPiVP-KmiKuPpNOLr-cS_HM1SB_kz87_KZDx9ffmfYszQFYGMSYDvWbVQB9Iyg1tNJOONghxR2FD5VGptG-3l6ZOJ0YjzFU9S4eQVX4F_PEXeswhIS3t37GUX_oWUHP3IsLugtYoRXyT5OETQFEVQ5TY5_l8fKbeeAOOFhjGVVRTwE3wBVQ==",593 "summary": []594 },595 "output_index": 0,596 "sequence_number": 3597 },598 "response.content_part.added": {599 "type": "response.content_part.added",600 "content_index": 0,601 "item_id": "msg_025b4f269102c29e006a9f92d4ec8c87d192cb76e838193618",602 "output_index": 1,603 "part": {604 "type": "output_text",605 "annotations": [],606 "logprobs": [],607 "text": ""608 },609 "sequence_number": 5610 },611 "response.output_text.delta": {612 "type": "response.output_text.delta",613 "content_index": 0,614 "delta": "Hello",615 "item_id": "msg_025b4f269102c29e006a9f92d4ec8c87d192cb76e838193618",616 "logprobs": [],617 "obfuscation": "1hA1HHS48vE",618 "output_index": 1,619 "sequence_number": 6620 },621 "response.output_text.done": {622 "type": "response.output_text.done",623 "content_index": 0,624 "item_id": "msg_025b4f269102c29e006a9f92d4ec8c87d192cb76e838193618",625 "logprobs": [],626 "output_index": 1,627 "sequence_number": 14,628 "text": "Hello, it’s nice meeting you."629 },630 "response.content_part.done": {631 "type": "response.content_part.done",632 "content_index": 0,633 "item_id": "msg_025b4f269102c29e006a9f92d4ec8c87d192cb76e838193618",634 "output_index": 1,635 "part": {636 "type": "output_text",637 "annotations": [],638 "logprobs": [],639 "text": "Hello, it’s nice meeting you."640 },641 "sequence_number": 15642 },643 "response.completed": {644 "type": "response.completed",645 "sequence_number": 17,646 "response": "<omitted>"647 }648 },649 "text": "Hello, it’s nice meeting you.",650 "sequence_numbers_monotonic": true,651 "final": {652 "id": "resp_025b4f269102c29e006a9f92d277e087d1b24e9dcaf7d8f179",653 "model": "gpt-6-astra",654 "status": "completed",655 "incomplete_details": null,656 "service_tier": "default",657 "store": true,658 "output_item_types": [659 "reasoning",660 "message[output_text]"661 ],662 "output_text": "",663 "usage": {664 "input_tokens": 12,665 "input_tokens_details": {666 "cache_write_tokens": 0,667 "cached_tokens": 0668 },669 "output_tokens": 40,670 "output_tokens_details": {671 "reasoning_tokens": 26672 },673 "total_tokens": 52674 },675 "reasoning": {676 "context": "all_turns",677 "effort": "medium",678 "mode": "standard",679 "summary": "detailed"680 },681 "text": {682 "format": {683 "type": "text"684 },685 "verbosity": "medium"686 },687 "temperature": 1,688 "top_p": 0.98,689 "truncation": "disabled",690 "max_output_tokens": 200691 }692 }693 },694 {695 "label": "stream:gpt-4.1-mini",696 "ok": true,697 "ms": 1287,698 "result": {699 "event_order": [700 "response.created",701 "response.in_progress",702 "response.output_item.added",703 "response.content_part.added",704 "response.output_text.delta",705 "response.output_text.done",706 "response.content_part.done",707 "response.output_item.done",708 "response.completed"709 ],710 "counts": {711 "response.created": 1,712 "response.in_progress": 1,713 "response.output_item.added": 1,714 "response.content_part.added": 1,715 "response.output_text.delta": 7,716 "response.output_text.done": 1,717 "response.content_part.done": 1,718 "response.output_item.done": 1,719 "response.completed": 1720 },721 "samples": {722 "response.created": {723 "type": "response.created",724 "sequence_number": 0,725 "response": "<omitted>"726 },727 "response.in_progress": {728 "type": "response.in_progress",729 "sequence_number": 1,730 "response": "<omitted>"731 },732 "response.output_item.added": {733 "type": "response.output_item.added",734 "item": {735 "id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569",736 "type": "message",737 "status": "in_progress",738 "content": [],739 "role": "assistant"740 },741 "output_index": 0,742 "sequence_number": 2743 },744 "response.content_part.added": {745 "type": "response.content_part.added",746 "content_index": 0,747 "item_id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569",748 "output_index": 0,749 "part": {750 "type": "output_text",751 "annotations": [],752 "logprobs": [],753 "text": ""754 },755 "sequence_number": 3756 },757 "response.output_text.delta": {758 "type": "response.output_text.delta",759 "content_index": 0,760 "delta": "Hello",761 "item_id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569",762 "logprobs": [],763 "obfuscation": "wQIqOd3d4jK",764 "output_index": 0,765 "sequence_number": 4766 },767 "response.output_text.done": {768 "type": "response.output_text.done",769 "content_index": 0,770 "item_id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569",771 "logprobs": [],772 "output_index": 0,773 "sequence_number": 11,774 "text": "Hello there! How are you?"775 },776 "response.content_part.done": {777 "type": "response.content_part.done",778 "content_index": 0,779 "item_id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569",780 "output_index": 0,781 "part": {782 "type": "output_text",783 "annotations": [],784 "logprobs": [],785 "text": "Hello there! How are you?"786 },787 "sequence_number": 12788 },789 "response.output_item.done": {790 "type": "response.output_item.done",791 "item": {792 "id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569",793 "type": "message",794 "status": "completed",795 "content": [796 {797 "type": "output_text",798 "annotations": [],799 "logprobs": [],800 "text": "Hello there! How are you?"801 }802 ],803 "role": "assistant"804 },805 "output_index": 0,806 "sequence_number": 13807 },808 "response.completed": {809 "type": "response.completed",810 "sequence_number": 14,811 "response": "<omitted>"812 }813 },814 "text": "Hello there! How are you?",815 "sequence_numbers_monotonic": true,816 "final": {817 "id": "resp_0fb1f2848804ec01006a9f92d55eac87d1a8ab36c50964f9b8",818 "model": "gpt-4.1-mini-2025-04-14",819 "status": "completed",820 "incomplete_details": null,821 "service_tier": "default",822 "store": true,823 "output_item_types": [824 "message[output_text]"825 ],826 "output_text": "",827 "usage": {828 "input_tokens": 13,829 "input_tokens_details": {830 "cache_write_tokens": 0,831 "cached_tokens": 0832 },833 "output_tokens": 8,834 "output_tokens_details": {835 "reasoning_tokens": 0836 },837 "total_tokens": 21838 },839 "reasoning": {840 "context": null,841 "effort": null,842 "summary": null843 },844 "text": {845 "format": {846 "type": "text"847 },848 "verbosity": "medium"849 },850 "temperature": 1,851 "top_p": 1,852 "truncation": "disabled",853 "max_output_tokens": 200854 }855 }856 },857 {858 "label": "stream:o4-mini",859 "ok": true,860 "ms": 4596,861 "result": {862 "event_order": [863 "response.created",864 "response.in_progress",865 "response.output_item.added",866 "response.reasoning_summary_part.added",867 "response.reasoning_summary_text.delta",868 "response.reasoning_summary_text.done",869 "response.reasoning_summary_part.done",870 "response.output_item.done",871 "response.incomplete"872 ],873 "counts": {874 "response.created": 1,875 "response.in_progress": 1,876 "response.output_item.added": 1,877 "response.reasoning_summary_part.added": 1,878 "response.reasoning_summary_text.delta": 185,879 "response.reasoning_summary_text.done": 1,880 "response.reasoning_summary_part.done": 1,881 "response.output_item.done": 1,882 "response.incomplete": 1883 },884 "samples": {885 "response.created": {886 "type": "response.created",887 "sequence_number": 0,888 "response": "<omitted>"889 },890 "response.in_progress": {891 "type": "response.in_progress",892 "sequence_number": 1,893 "response": "<omitted>"894 },895 "response.output_item.added": {896 "type": "response.output_item.added",897 "item": {898 "id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158",899 "type": "reasoning",900 "content": [],901 "encrypted_content": "gAAAAABqn5LXmwEpfCK0NoSSsvrcD7Ba5tw2XSzKV7xsN37pF5W7VknpchUhPghp7-DMCwIS0p4kTQx8rlsV6CVEt43GI0WovNeqb1cTdrmfuuRBtuWF-8TFBfftrCgQgRXzS8v2jjhNYybT3K1Xl-5B1qr_GjiuQk-VHAHlKWpr49Z7nr78EAQgtqO7MKv0ZqDu3GMTt-P_GTg2EbqEG4zA27etMqpKSxw0MVjKd__6t2kTywnBYz1e2qRM1mFH4f-MVyRmsb8YHJWv0GJAcN105JngW0issO4Vma7J4-IO3SzK99_oR0TciqqxfLA46HCR4g_zzCZ0tju0m_nWH7-eisjp9X_CApTsGNXUqmx3kO2mYYpgUoUQ6_MPG7kZVxakKJwgy0W4YYWLOisTuBFSi1zsB29Le7WjwSlrT5Wl0LypD-TxXgcjY5z3Rz4mZzJhp3tpDLnsHjRTOQi_O8j8hWUVAeKhuwbJPtI7Yp1USEmhFwZxnw_HqqsYnBpdnOBbJjqX8vnIbxbwdwwFCrLyfdsbL4gxSveAEcPzjeEnX1fTvgqqTnl3XcP0wwQ6Bq2WHe81x93vg5FbPHoAV9SDb1aO_zIlQMr5Ahiim36jI8pOfiUu5CCf7mNufc5Vffqgk9bw1XIxtMWdpQAZ9lmWV2F6eATUrJfWxzeQPwDOrQs62o1eMdJSUnosZNQe4-tY_5VKm_zZD64Y5a9QE_CQ7xbcG4qbRkfZdDCzV3EHtslaGmiBQvo3uJrNEkY7YuBHU93BCjkhNDxxNWMldFp3gxaN9SWQYkIdMShL1b2fGSH0sB7dkQu_RX_TFsdI0WOYCiAzohXltH4VOhPUNyR9VrDpNwzKQzoJd49E1yVil_mG8oYwtzKaujVI8SHb8h4B7KYW3cMJdgqRoTVjOgkHW7_vxLgEXAjX_wkKSqP9cgnKyXvZ8J0jXHwn2JgzaPpqlldQlfotbz8XHXD-pYhWY4xf9YncKt7a7rHGIiAUauo7MDFcl-eXyqWmnBSXMFSnUTJGVzqB34q0Q8jx7gMyIThJwFQaCgRNOznjJI73934y3IHcIzZ3G3XtaUPYyn_KMmFxcSFuDPrFHWI0OCPe0AKpD4q6NJsWmFmWR4FpFdl7wfjXTld7WXtlHzFPxN2kmLET1MMriIAm6B288Rq8Xyp1LL-7Uw==",902 "summary": []903 },904 "output_index": 0,905 "sequence_number": 2906 },907 "response.reasoning_summary_part.added": {908 "type": "response.reasoning_summary_part.added",909 "item_id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158",910 "output_index": 0,911 "part": {912 "type": "summary_text",913 "text": ""914 },915 "sequence_number": 3,916 "summary_index": 0917 },918 "response.reasoning_summary_text.delta": {919 "type": "response.reasoning_summary_text.delta",920 "delta": "**Creating a five-word greeting**\n\nThe",921 "item_id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158",922 "obfuscation": "Gswa9G3gTZ",923 "output_index": 0,924 "sequence_number": 4,925 "summary_index": 0926 },927 "response.reasoning_summary_text.done": {928 "type": "response.reasoning_summary_text.done",929 "item_id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158",930 "output_index": 0,931 "sequence_number": 189,932 "summary_index": 0,933 "text": "**Crafting a five-word greeting**\n\nThe user wants a greeting with exactly five words. I’m thinking a good example might be: \"Hello there! How are you?\" When I count, it works out perfectly: \"Hello(1) there!(2) How(3) are(4) you?(5).\" Punctuation is fine as it doesn't change the word count. I might also consider variations, but it seems they're looking for a straightforward English greeting. \"Hello there!\" would be simple and effective!"934 },935 "response.reasoning_summary_part.done": {936 "type": "response.reasoning_summary_part.done",937 "item_id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158",938 "output_index": 0,939 "part": {940 "type": "summary_text",941 "text": "**Crafting a five-word greeting**\n\nThe user wants a greeting with exactly five words. I’m thinking a good example might be: \"Hello there! How are you?\" When I count, it works out perfectly: \"Hello(1) there!(2) How(3) are(4) you?(5).\" Punctuation is fine as it doesn't change the word count. I might also consider variations, but it seems they're looking for a straightforward English greeting. \"Hello there!\" would be simple and effective!"942 },943 "sequence_number": 190,944 "summary_index": 0945 },946 "response.output_item.done": {947 "type": "response.output_item.done",948 "item": {949 "id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158",950 "type": "reasoning",951 "content": [],952 "encrypted_content": "gAAAAABqn5LaomUyKh2G_czzjv6wsrouqfOs5KMr6ROkpkd4sP_U6Ad6ACC3FTohzBhEdXMZlG5HigaMU61FYDPDVihxN-CfF5ZKv1a1Zt5HrGUf3X0GaWlgHUb-b8YEKZePOZW2N1f_I8FiqpJLDAYo_PaCUntYZyF1_SVlZu6OQHmV--LleKfwWNpffSZR2KZXDZKh6dI8usQ4-Oan9dMunQin54W-d7WI3PIGfUHbVdhnXTnl3BCmCp7-oMfLatKyVQ6yL4r2mHKn3cbh-VR8dkpjakwXqQB4D1wD3pqLcxrNLpxS_xH6Np_E_W2qbMVFCJAFmjJtY2c9N8UocUUvTlB4i4XP4EfS06wF23_CXEcaBRHghAQq_is9K5ByiPB2gT8lvxGFbTqg5FMutDwn9sXCd-5x5ON9rrR1VNX6r100n7Jodq68AFqiH3Wm4HlUSDjDZqF_PMhQVAekLN-VALkjLTJZpgwV-pI1N4wS6lVHdjHi9GiwmwDFD5SyMmiD9S62Ex519D61yHFvdOmxpXVnKw2u0-bXVfzRo4n-nvf459qhGZ0ByC-KJ5SzOoX5upZHkd3xKkZby4mMhkoeJcNKpcp6EWtOfgs9aoSnyN7ohPPjwZy-JXecsnbwqyB7wPsDDUxu1YqhYutX9WMBgC0ARUzEfjUqEOxBjNsIFrpdCPt-VJbFezmebfyPchL9JOY6QkXJmdOzN5P6CSRFazlKHtd_KQh4bpkDxIUmLt3Le09H63FW-ZQkU-1yrzij0DLC3RuMuHoUzrnhSHu_u0ZdOWqg-S4d6sSvolJZwBKbIBQQzPVOct5ak8EQIaCF1p3th5VIlI96pu4zPknjHDqxdblqYwgwIOtjbi91ghvGs0BesAwke5FqfiO4rQNU-ZAk5qEGiUHDgIjtB3HwZQ5-DSNaWukZaYEEkbU2sYe7z9WzZXe3_iheI7WYKusYbvjmFJ3LwDpEtaIS74VgkGMOwMfOCi_03QHn7NpGHDxgMlSk968JJVXHg90ZrAuVovj-XVujCbdN_pQ7NPi-z2uC6P3C8oMq6vi3diOUM0ow-hsdtIVqsuSHVJ9--zT-hVvkKh_UpyMwwMAtI6J8IEqt9IzKoPKvj03wm5ylHYck6tq6z40_K5p7BHX3ppslYTnZ4wF--QshukfowMFUGXHSe281XMigCyAtScdMTVnvMmuQBNbeyJm-j5tpFsydLFKAQHCjXPJTNflmpVkWCHg97iKRSDLNoacCRwJDKAPNp5akTpceI27Y0wP6uUDMAstFcof-6LoYVGkWZFk8NAiceAjWGuwUuMHtr3MWuAtz3MwF-YX9PbiYRR8a9HfoJkFfou1q0kn-w62lX0BO6WSjltsWQajQuucRtblwysPAWdW7sviqovwMT-o2r7oFpidG8n41nUOKVpvagxjH_ak1uHah68L53HCmmqNWtmCJtsWyd2svrByUkB0qS9nyQA6okH6evQdQ305g_CswXVZXWMWUSFJGJLijxCzB_-ToW01fIibNP8u8335o7OCyEezEIP9gPs_VJJjce8W6b4Frm0fZpylxtZQr1DGSwiIvsIGOEjW-GqdBSlt3PaBxNtz7D2YyRQ-9TcMOgCdiv4P7y1RpDgL1XQhUSOcmWfAfhSg-IVJltZJp8wPwOLC_nj1tJFCHhO2pcVZD4WsCO-bw0uYzlK0ZQfEHqwdPV9R8YpF4Ky5DaGL1_UxJMeoxBfL5Ew9t4PyIAFt4F4VLzbn5qZ16Bgn_hYqYRx41d2yxQXzjS_veqreIpDaA62-UyqxnIROCDJ9PUMij8TACVTZg6rYjQo25v-H2AN78slla4AnjQVm328aWUEqDtuVr8p9tODq351GcUtDy83s0Et6hctfMPAEjLlcyvQj_WVMXPyZ-Uef9IOICSGkY51DiAXjwcuLV_YZ0tX1UJqm5Fi4CcW3TcB9mUIhgrPepWZt-Y6-FSbIpdCFD_iqCwUNoauNTJK5Tbf0OIFTgVZUAHO7mi74bVu0NmDrm2fPJk0_9IiZM0Y6iqQ8un675d5zh1mdSwpokBQRiwatRdbSyg45PKNO0MppwshliFahTBeSdQiqxD_Mu3aknOQSXUAXjf7p2Zc_WHDnuIKIIDMjMKyCuRCYfev-soV9z_y8UgJvrLOU1fhWT7AlOtxLwFVJL8vUq9-wO7hDCiHYZ5qX_5E-T5nqnxy9DNw_Foaklkx0MxE6-C8gJiZflCFfflhK1uMvlXO1N",953 "summary": [954 {955 "type": "summary_text",956 "text": "**Crafting a five-word greeting**\n\nThe user wants a greeting with exactly five words. I’m thinking a good example might be: \"Hello there! How are you?\" When I count, it works out perfectly: \"Hello(1) there!(2) How(3) are(4) you?(5).\" Punctuation is fine as it doesn't change the word count. I might also consider variations, but it seems they're looking for a straightforward English greeting. \"Hello there!\" would be simple and effective!"957 }958 ]959 },960 "output_index": 0,961 "sequence_number": 191962 },963 "response.incomplete": {964 "type": "response.incomplete",965 "sequence_number": 192,966 "response": "<omitted>"967 }968 },969 "text": "",970 "sequence_numbers_monotonic": true,971 "final": {972 "id": "resp_077ea6005c9ffd64006a9f92d6ae7887d1ae8b9746576d2e51",973 "model": "o4-mini-2025-04-16",974 "status": "incomplete",975 "incomplete_details": {976 "reason": "max_output_tokens"977 },978 "service_tier": "default",979 "store": true,980 "output_item_types": [981 "reasoning"982 ],983 "output_text": "",984 "usage": {985 "input_tokens": 12,986 "input_tokens_details": {987 "cache_write_tokens": 0,988 "cached_tokens": 0989 },990 "output_tokens": 192,991 "output_tokens_details": {992 "reasoning_tokens": 192993 },994 "total_tokens": 204995 },996 "reasoning": {997 "context": "current_turn",998 "effort": "medium",999 "mode": "standard",1000 "summary": "detailed"1001 },1002 "text": {1003 "format": {1004 "type": "text"1005 },1006 "verbosity": "medium"1007 },1008 "temperature": 1,1009 "top_p": 1,1010 "truncation": "disabled",1011 "max_output_tokens": 2001012 }1013 }1014 }1015]