[ { "label": "stream:gpt-5.5", "ok": true, "ms": 1746, "result": { "event_order": [ "response.created", "response.in_progress", "response.output_item.added", "response.output_item.done", "response.content_part.added", "response.output_text.delta", "response.output_text.done", "response.content_part.done", "response.completed" ], "counts": { "response.created": 1, "response.in_progress": 1, "response.output_item.added": 2, "response.output_item.done": 2, "response.content_part.added": 1, "response.output_text.delta": 7, "response.output_text.done": 1, "response.content_part.done": 1, "response.completed": 1 }, "samples": { "response.created": { "type": "response.created", "sequence_number": 0, "response": "" }, "response.in_progress": { "type": "response.in_progress", "sequence_number": 1, "response": "" }, "response.output_item.added": { "type": "response.output_item.added", "item": { "id": "rs_0ec191d8562227d8006a9f92ce1a8487d1bae378a7cc3c320c", "type": "reasoning", "content": [], "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==", "summary": [] }, "output_index": 0, "sequence_number": 2 }, "response.output_item.done": { "type": "response.output_item.done", "item": { "id": "rs_0ec191d8562227d8006a9f92ce1a8487d1bae378a7cc3c320c", "type": "reasoning", "content": [], "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=", "summary": [] }, "output_index": 0, "sequence_number": 3 }, "response.content_part.added": { "type": "response.content_part.added", "content_index": 0, "item_id": "msg_0ec191d8562227d8006a9f92ceab4c87d19e9be46ccb36be11", "output_index": 1, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "" }, "sequence_number": 5 }, "response.output_text.delta": { "type": "response.output_text.delta", "content_index": 0, "delta": "Hello", "item_id": "msg_0ec191d8562227d8006a9f92ceab4c87d19e9be46ccb36be11", "logprobs": [], "obfuscation": "K4A4SnAOymk", "output_index": 1, "sequence_number": 6 }, "response.output_text.done": { "type": "response.output_text.done", "content_index": 0, "item_id": "msg_0ec191d8562227d8006a9f92ceab4c87d19e9be46ccb36be11", "logprobs": [], "output_index": 1, "sequence_number": 13, "text": "Hello, hope you are well." }, "response.content_part.done": { "type": "response.content_part.done", "content_index": 0, "item_id": "msg_0ec191d8562227d8006a9f92ceab4c87d19e9be46ccb36be11", "output_index": 1, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "Hello, hope you are well." }, "sequence_number": 14 }, "response.completed": { "type": "response.completed", "sequence_number": 16, "response": "" } }, "text": "Hello, hope you are well.", "sequence_numbers_monotonic": true, "final": { "id": "resp_0ec191d8562227d8006a9f92cd85b087d18bfe0507b0e4733a", "model": "gpt-5.5-2026-04-23", "status": "completed", "incomplete_details": null, "service_tier": "default", "store": true, "output_item_types": [ "reasoning", "message[output_text]" ], "output_text": "", "usage": { "input_tokens": 12, "input_tokens_details": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 45, "output_tokens_details": { "reasoning_tokens": 32 }, "total_tokens": 57 }, "reasoning": { "context": "current_turn", "effort": "medium", "mode": "standard", "summary": "detailed" }, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "temperature": 1, "top_p": 0.98, "truncation": "disabled", "max_output_tokens": 200 } } }, { "label": "stream:gpt-5.4-mini", "ok": true, "ms": 1125, "result": { "event_order": [ "response.created", "response.in_progress", "response.output_item.added", "response.content_part.added", "response.output_text.delta", "response.output_text.done", "response.content_part.done", "response.output_item.done", "response.completed" ], "counts": { "response.created": 1, "response.in_progress": 1, "response.output_item.added": 1, "response.content_part.added": 1, "response.output_text.delta": 8, "response.output_text.done": 1, "response.content_part.done": 1, "response.output_item.done": 1, "response.completed": 1 }, "samples": { "response.created": { "type": "response.created", "sequence_number": 0, "response": "" }, "response.in_progress": { "type": "response.in_progress", "sequence_number": 1, "response": "" }, "response.output_item.added": { "type": "response.output_item.added", "item": { "id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8", "type": "message", "status": "in_progress", "content": [], "phase": "final_answer", "role": "assistant" }, "output_index": 0, "sequence_number": 2 }, "response.content_part.added": { "type": "response.content_part.added", "content_index": 0, "item_id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8", "output_index": 0, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "" }, "sequence_number": 3 }, "response.output_text.delta": { "type": "response.output_text.delta", "content_index": 0, "delta": "Hello", "item_id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8", "logprobs": [], "obfuscation": "AHq0xcxicK6", "output_index": 0, "sequence_number": 4 }, "response.output_text.done": { "type": "response.output_text.done", "content_index": 0, "item_id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8", "logprobs": [], "output_index": 0, "sequence_number": 12, "text": "Hello there, nice to meet you." }, "response.content_part.done": { "type": "response.content_part.done", "content_index": 0, "item_id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8", "output_index": 0, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "Hello there, nice to meet you." }, "sequence_number": 13 }, "response.output_item.done": { "type": "response.output_item.done", "item": { "id": "msg_03a68306fdd7f696006a9f92cf884c87d1af8b94529b6349d8", "type": "message", "status": "completed", "content": [ { "type": "output_text", "annotations": [], "logprobs": [], "text": "Hello there, nice to meet you." } ], "phase": "final_answer", "role": "assistant" }, "output_index": 0, "sequence_number": 14 }, "response.completed": { "type": "response.completed", "sequence_number": 15, "response": "" } }, "text": "Hello there, nice to meet you.", "sequence_numbers_monotonic": true, "final": { "id": "resp_03a68306fdd7f696006a9f92cf28fc87d1850797ef9da5714f", "model": "gpt-5.4-mini-2026-03-17", "status": "completed", "incomplete_details": null, "service_tier": "default", "store": true, "output_item_types": [ "message[output_text]" ], "output_text": "", "usage": { "input_tokens": 12, "input_tokens_details": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 12, "output_tokens_details": { "reasoning_tokens": 0 }, "total_tokens": 24 }, "reasoning": { "context": "current_turn", "effort": "none", "mode": "standard", "summary": "detailed" }, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "temperature": 1, "top_p": 0.98, "truncation": "disabled", "max_output_tokens": 200 } } }, { "label": "stream:gpt-5.6-sol", "ok": true, "ms": 2200, "result": { "event_order": [ "response.created", "response.in_progress", "response.output_item.added", "response.reasoning_summary_part.added", "response.reasoning_summary_text.delta", "response.reasoning_summary_text.done", "response.reasoning_summary_part.done", "response.output_item.done", "response.content_part.added", "response.output_text.delta", "response.output_text.done", "response.content_part.done", "response.completed" ], "counts": { "response.created": 1, "response.in_progress": 1, "response.output_item.added": 2, "response.reasoning_summary_part.added": 1, "response.reasoning_summary_text.delta": 86, "response.reasoning_summary_text.done": 1, "response.reasoning_summary_part.done": 1, "response.output_item.done": 2, "response.content_part.added": 1, "response.output_text.delta": 7, "response.output_text.done": 1, "response.content_part.done": 1, "response.completed": 1 }, "samples": { "response.created": { "type": "response.created", "sequence_number": 0, "response": "" }, "response.in_progress": { "type": "response.in_progress", "sequence_number": 1, "response": "" }, "response.output_item.added": { "type": "response.output_item.added", "item": { "id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764", "type": "reasoning", "content": [], "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==", "summary": [] }, "output_index": 0, "sequence_number": 2 }, "response.reasoning_summary_part.added": { "type": "response.reasoning_summary_part.added", "item_id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764", "output_index": 0, "part": { "type": "summary_text", "text": "" }, "sequence_number": 3, "summary_index": 0 }, "response.reasoning_summary_text.delta": { "type": "response.reasoning_summary_text.delta", "delta": "**Counting words in a phrase**\n\nI", "item_id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764", "obfuscation": "AJlxiqi3Hb77BdY", "output_index": 0, "sequence_number": 4, "summary_index": 0 }, "response.reasoning_summary_text.done": { "type": "response.reasoning_summary_text.done", "item_id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764", "output_index": 0, "sequence_number": 90, "summary_index": 0, "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!" }, "response.reasoning_summary_part.done": { "type": "response.reasoning_summary_part.done", "item_id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764", "output_index": 0, "part": { "type": "summary_text", "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!" }, "sequence_number": 91, "summary_index": 0 }, "response.output_item.done": { "type": "response.output_item.done", "item": { "id": "rs_0b08387abdebfbdc006a9f92d0d11887d1b83a24a4834ff764", "type": "reasoning", "content": [], "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=", "summary": [ { "type": "summary_text", "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!" } ] }, "output_index": 0, "sequence_number": 92 }, "response.content_part.added": { "type": "response.content_part.added", "content_index": 0, "item_id": "msg_0b08387abdebfbdc006a9f92d20c0c87d197d6955af76e35c9", "output_index": 1, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "" }, "sequence_number": 94 }, "response.output_text.delta": { "type": "response.output_text.delta", "content_index": 0, "delta": "Hello", "item_id": "msg_0b08387abdebfbdc006a9f92d20c0c87d197d6955af76e35c9", "logprobs": [], "obfuscation": "B7hX9jTrkiR", "output_index": 1, "sequence_number": 95 }, "response.output_text.done": { "type": "response.output_text.done", "content_index": 0, "item_id": "msg_0b08387abdebfbdc006a9f92d20c0c87d197d6955af76e35c9", "logprobs": [], "output_index": 1, "sequence_number": 102, "text": "Hello there, hope you're well!" }, "response.content_part.done": { "type": "response.content_part.done", "content_index": 0, "item_id": "msg_0b08387abdebfbdc006a9f92d20c0c87d197d6955af76e35c9", "output_index": 1, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "Hello there, hope you're well!" }, "sequence_number": 103 }, "response.completed": { "type": "response.completed", "sequence_number": 105, "response": "" } }, "text": "Hello there, hope you're well!", "sequence_numbers_monotonic": true, "final": { "id": "resp_0b08387abdebfbdc006a9f92d0419487d198c053a311216fdb", "model": "gpt-5.6-sol", "status": "completed", "incomplete_details": null, "service_tier": "default", "store": true, "output_item_types": [ "reasoning", "message[output_text]" ], "output_text": "", "usage": { "input_tokens": 12, "input_tokens_details": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 44, "output_tokens_details": { "reasoning_tokens": 31 }, "total_tokens": 56 }, "reasoning": { "context": "all_turns", "effort": "medium", "mode": "standard", "summary": "detailed" }, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "temperature": 1, "top_p": 0.98, "truncation": "disabled", "max_output_tokens": 200 } } }, { "label": "stream:gpt-6-astra", "ok": true, "ms": 2911, "result": { "event_order": [ "response.created", "response.in_progress", "response.output_item.added", "response.output_item.done", "response.content_part.added", "response.output_text.delta", "response.output_text.done", "response.content_part.done", "response.completed" ], "counts": { "response.created": 1, "response.in_progress": 1, "response.output_item.added": 2, "response.output_item.done": 2, "response.content_part.added": 1, "response.output_text.delta": 8, "response.output_text.done": 1, "response.content_part.done": 1, "response.completed": 1 }, "samples": { "response.created": { "type": "response.created", "sequence_number": 0, "response": "" }, "response.in_progress": { "type": "response.in_progress", "sequence_number": 1, "response": "" }, "response.output_item.added": { "type": "response.output_item.added", "item": { "id": "rs_025b4f269102c29e006a9f92d38f1087d1bdd8c3fb6016ebda", "type": "reasoning", "content": [], "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==", "summary": [] }, "output_index": 0, "sequence_number": 2 }, "response.output_item.done": { "type": "response.output_item.done", "item": { "id": "rs_025b4f269102c29e006a9f92d38f1087d1bdd8c3fb6016ebda", "type": "reasoning", "content": [], "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==", "summary": [] }, "output_index": 0, "sequence_number": 3 }, "response.content_part.added": { "type": "response.content_part.added", "content_index": 0, "item_id": "msg_025b4f269102c29e006a9f92d4ec8c87d192cb76e838193618", "output_index": 1, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "" }, "sequence_number": 5 }, "response.output_text.delta": { "type": "response.output_text.delta", "content_index": 0, "delta": "Hello", "item_id": "msg_025b4f269102c29e006a9f92d4ec8c87d192cb76e838193618", "logprobs": [], "obfuscation": "1hA1HHS48vE", "output_index": 1, "sequence_number": 6 }, "response.output_text.done": { "type": "response.output_text.done", "content_index": 0, "item_id": "msg_025b4f269102c29e006a9f92d4ec8c87d192cb76e838193618", "logprobs": [], "output_index": 1, "sequence_number": 14, "text": "Hello, it’s nice meeting you." }, "response.content_part.done": { "type": "response.content_part.done", "content_index": 0, "item_id": "msg_025b4f269102c29e006a9f92d4ec8c87d192cb76e838193618", "output_index": 1, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "Hello, it’s nice meeting you." }, "sequence_number": 15 }, "response.completed": { "type": "response.completed", "sequence_number": 17, "response": "" } }, "text": "Hello, it’s nice meeting you.", "sequence_numbers_monotonic": true, "final": { "id": "resp_025b4f269102c29e006a9f92d277e087d1b24e9dcaf7d8f179", "model": "gpt-6-astra", "status": "completed", "incomplete_details": null, "service_tier": "default", "store": true, "output_item_types": [ "reasoning", "message[output_text]" ], "output_text": "", "usage": { "input_tokens": 12, "input_tokens_details": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 40, "output_tokens_details": { "reasoning_tokens": 26 }, "total_tokens": 52 }, "reasoning": { "context": "all_turns", "effort": "medium", "mode": "standard", "summary": "detailed" }, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "temperature": 1, "top_p": 0.98, "truncation": "disabled", "max_output_tokens": 200 } } }, { "label": "stream:gpt-4.1-mini", "ok": true, "ms": 1287, "result": { "event_order": [ "response.created", "response.in_progress", "response.output_item.added", "response.content_part.added", "response.output_text.delta", "response.output_text.done", "response.content_part.done", "response.output_item.done", "response.completed" ], "counts": { "response.created": 1, "response.in_progress": 1, "response.output_item.added": 1, "response.content_part.added": 1, "response.output_text.delta": 7, "response.output_text.done": 1, "response.content_part.done": 1, "response.output_item.done": 1, "response.completed": 1 }, "samples": { "response.created": { "type": "response.created", "sequence_number": 0, "response": "" }, "response.in_progress": { "type": "response.in_progress", "sequence_number": 1, "response": "" }, "response.output_item.added": { "type": "response.output_item.added", "item": { "id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569", "type": "message", "status": "in_progress", "content": [], "role": "assistant" }, "output_index": 0, "sequence_number": 2 }, "response.content_part.added": { "type": "response.content_part.added", "content_index": 0, "item_id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569", "output_index": 0, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "" }, "sequence_number": 3 }, "response.output_text.delta": { "type": "response.output_text.delta", "content_index": 0, "delta": "Hello", "item_id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569", "logprobs": [], "obfuscation": "wQIqOd3d4jK", "output_index": 0, "sequence_number": 4 }, "response.output_text.done": { "type": "response.output_text.done", "content_index": 0, "item_id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569", "logprobs": [], "output_index": 0, "sequence_number": 11, "text": "Hello there! How are you?" }, "response.content_part.done": { "type": "response.content_part.done", "content_index": 0, "item_id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569", "output_index": 0, "part": { "type": "output_text", "annotations": [], "logprobs": [], "text": "Hello there! How are you?" }, "sequence_number": 12 }, "response.output_item.done": { "type": "response.output_item.done", "item": { "id": "msg_0fb1f2848804ec01006a9f92d62dd087d194433bee6add5569", "type": "message", "status": "completed", "content": [ { "type": "output_text", "annotations": [], "logprobs": [], "text": "Hello there! How are you?" } ], "role": "assistant" }, "output_index": 0, "sequence_number": 13 }, "response.completed": { "type": "response.completed", "sequence_number": 14, "response": "" } }, "text": "Hello there! How are you?", "sequence_numbers_monotonic": true, "final": { "id": "resp_0fb1f2848804ec01006a9f92d55eac87d1a8ab36c50964f9b8", "model": "gpt-4.1-mini-2025-04-14", "status": "completed", "incomplete_details": null, "service_tier": "default", "store": true, "output_item_types": [ "message[output_text]" ], "output_text": "", "usage": { "input_tokens": 13, "input_tokens_details": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 8, "output_tokens_details": { "reasoning_tokens": 0 }, "total_tokens": 21 }, "reasoning": { "context": null, "effort": null, "summary": null }, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "temperature": 1, "top_p": 1, "truncation": "disabled", "max_output_tokens": 200 } } }, { "label": "stream:o4-mini", "ok": true, "ms": 4596, "result": { "event_order": [ "response.created", "response.in_progress", "response.output_item.added", "response.reasoning_summary_part.added", "response.reasoning_summary_text.delta", "response.reasoning_summary_text.done", "response.reasoning_summary_part.done", "response.output_item.done", "response.incomplete" ], "counts": { "response.created": 1, "response.in_progress": 1, "response.output_item.added": 1, "response.reasoning_summary_part.added": 1, "response.reasoning_summary_text.delta": 185, "response.reasoning_summary_text.done": 1, "response.reasoning_summary_part.done": 1, "response.output_item.done": 1, "response.incomplete": 1 }, "samples": { "response.created": { "type": "response.created", "sequence_number": 0, "response": "" }, "response.in_progress": { "type": "response.in_progress", "sequence_number": 1, "response": "" }, "response.output_item.added": { "type": "response.output_item.added", "item": { "id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158", "type": "reasoning", "content": [], "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==", "summary": [] }, "output_index": 0, "sequence_number": 2 }, "response.reasoning_summary_part.added": { "type": "response.reasoning_summary_part.added", "item_id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158", "output_index": 0, "part": { "type": "summary_text", "text": "" }, "sequence_number": 3, "summary_index": 0 }, "response.reasoning_summary_text.delta": { "type": "response.reasoning_summary_text.delta", "delta": "**Creating a five-word greeting**\n\nThe", "item_id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158", "obfuscation": "Gswa9G3gTZ", "output_index": 0, "sequence_number": 4, "summary_index": 0 }, "response.reasoning_summary_text.done": { "type": "response.reasoning_summary_text.done", "item_id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158", "output_index": 0, "sequence_number": 189, "summary_index": 0, "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!" }, "response.reasoning_summary_part.done": { "type": "response.reasoning_summary_part.done", "item_id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158", "output_index": 0, "part": { "type": "summary_text", "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!" }, "sequence_number": 190, "summary_index": 0 }, "response.output_item.done": { "type": "response.output_item.done", "item": { "id": "rs_077ea6005c9ffd64006a9f92d75de887d1a1b12820970ee158", "type": "reasoning", "content": [], "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", "summary": [ { "type": "summary_text", "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!" } ] }, "output_index": 0, "sequence_number": 191 }, "response.incomplete": { "type": "response.incomplete", "sequence_number": 192, "response": "" } }, "text": "", "sequence_numbers_monotonic": true, "final": { "id": "resp_077ea6005c9ffd64006a9f92d6ae7887d1ae8b9746576d2e51", "model": "o4-mini-2025-04-16", "status": "incomplete", "incomplete_details": { "reason": "max_output_tokens" }, "service_tier": "default", "store": true, "output_item_types": [ "reasoning" ], "output_text": "", "usage": { "input_tokens": 12, "input_tokens_details": { "cache_write_tokens": 0, "cached_tokens": 0 }, "output_tokens": 192, "output_tokens_details": { "reasoning_tokens": 192 }, "total_tokens": 204 }, "reasoning": { "context": "current_turn", "effort": "medium", "mode": "standard", "summary": "detailed" }, "text": { "format": { "type": "text" }, "verbosity": "medium" }, "temperature": 1, "top_p": 1, "truncation": "disabled", "max_output_tokens": 200 } } } ]