{"type":"title","v":1,"title":"ompdiag-test @ HFENDULEAM (omp-spt/)","source":"user","updatedAt":"2026-07-24T07:47:52.770Z","pad":"                                                                                                                          "}
{"type":"session","version":3,"id":"019f9318-5021-7000-bf7a-dcc845730b5c","timestamp":"2026-07-24T07:47:51.969Z","cwd":"C:\\Users\\decid\\Documents\\projects\\omp-spt","title":"ompdiag-test @ HFENDULEAM (omp-spt/)","titleSource":"user"}
{"type":"model_change","id":"ae0c49f6","parentId":null,"timestamp":"2026-07-24T07:47:52.111Z","model":"openai-codex/gpt-5.6-sol"}
{"type":"thinking_level_change","id":"91069255","parentId":"ae0c49f6","timestamp":"2026-07-24T07:47:52.111Z","thinkingLevel":"low","configured":null}
{"type":"title_change","id":"1fcd05bf","parentId":"91069255","timestamp":"2026-07-24T07:47:52.770Z","title":"ompdiag-test @ HFENDULEAM (omp-spt/)","source":"user"}
{"type":"custom_message","customType":"xdev-mount-notice","content":"<system-notice>\nThe xd:// device inventory changed.\nThese tools became available:\n- xd://mcp__mempalace_mempalace_mempalace_add_drawer — File verbatim content into the palace. Checks for duplicates first.\n- xd://mcp__mempalace_mempalace_mempalace_check_duplicate — Check if content already exists in the palace before filing\n- xd://mcp__mempalace_mempalace_mempalace_delete_drawer — Delete a drawer by ID. Irreversible.\n- xd://mcp__mempalace_mempalace_mempalace_diary_read — Read your recent diary entries (in AAAK). See what past versions of yourself recorded — your journal across sessions.\n- xd://mcp__mempalace_mempalace_mempalace_diary_write — Write to your personal agent diary in AAAK format. Your observations, thoughts, what you worked on, what matters. Each agent has their own diary with full history. Write in AAAK for compression — e.g. 'SESSION:2026-04-04|built.palace.graph+diary.tools|ALC.req:agent.diaries.in.aaak|★★★'. Use entity codes from the AAAK spec.\n- xd://mcp__mempalace_mempalace_mempalace_find_tunnels — Find rooms that bridge two wings — the hallways connecting different domains. E.g. what topics connect wing_code to wing_team?\n- xd://mcp__mempalace_mempalace_mempalace_get_aaak_spec — Get the AAAK dialect specification — the compressed memory format MemPalace uses. Call this if you need to read or write AAAK-compressed memories.\n- xd://mcp__mempalace_mempalace_mempalace_get_taxonomy — Full taxonomy: wing → room → drawer count\n- xd://mcp__mempalace_mempalace_mempalace_graph_stats — Palace graph overview: total rooms, tunnel connections, edges between wings.\n- xd://mcp__mempalace_mempalace_mempalace_kg_add — Add a fact to the knowledge graph. Subject → predicate → object with optional time window. E.g. ('Max', 'started_school', 'Year 7', valid_from='2026-09-01').\n- xd://mcp__mempalace_mempalace_mempalace_kg_invalidate — Mark a fact as no longer true. E.g. ankle injury resolved, job ended, moved house.\n- xd://mcp__mempalace_mempalace_mempalace_kg_query — Query the knowledge graph for an entity's relationships. Returns typed facts with temporal validity. E.g. 'Max' → child_of Alice, loves chess, does swimming. Filter by date with as_of to see what was true at a point in time.\n- xd://mcp__mempalace_mempalace_mempalace_kg_stats — Knowledge graph overview: entities, triples, current vs expired facts, relationship types.\n- xd://mcp__mempalace_mempalace_mempalace_kg_timeline — Chronological timeline of facts. Shows the story of an entity (or everything) in order.\n- xd://mcp__mempalace_mempalace_mempalace_list_rooms — List rooms within a wing (or all rooms if no wing given)\n- xd://mcp__mempalace_mempalace_mempalace_list_wings — List all wings with drawer counts\n- xd://mcp__mempalace_mempalace_mempalace_search — Semantic search. Returns verbatim drawer content with similarity scores.\n- xd://mcp__mempalace_mempalace_mempalace_status — Palace overview — total drawers, wing and room counts\n- xd://mcp__mempalace_mempalace_mempalace_traverse — Walk the palace graph from a room. Shows connected ideas across wings — the tunnels. Like following a thread through the palace: start at 'chromadb-setup' in wing_code, discover it connects to wing_myproject (planning) and wing_user (feelings about it).\nRead `xd://<tool>` for docs + JSON schema before first use; write the JSON args object to `xd://<tool>` to execute.\n</system-notice>","display":false,"attribution":"agent","id":"c5ede2a9","parentId":"1fcd05bf","timestamp":"2026-07-24T07:48:04.847Z"}
{"type":"message","id":"e8a36afa","parentId":"c5ede2a9","timestamp":"2026-07-24T07:48:04.848Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\"/>"}],"attribution":"user","timestamp":1784879284806}}
{"type":"message","id":"2a534b49","parentId":"e8a36afa","timestamp":"2026-07-24T07:48:07.796Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":""},{"type":"toolCall","id":"call_i38GS2dI6iKtToyjKDIH5ytq|fc_0a7b700d842c302f016a6318b76590819b831d4bea5f68d539","name":"read","arguments":{"i":"Loading send instructions","path":"skill://send"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":25070,"output":45,"cacheRead":0,"cacheWrite":0,"totalTokens":25115,"reasoningTokens":18,"cost":{"input":0.12535000000000002,"output":0.00135,"cacheRead":0,"cacheWrite":0,"total":0.1267}},"stopReason":"toolUse","timestamp":1784879284959,"responseId":"resp_0a7b700d842c302f016a6318b54384819bb6d774c9bc21c42d","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"rs_0a7b700d842c302f016a6318b6f1dc819b8bf6b5015d45fa93","type":"reasoning","content":[],"encrypted_content":"gAAAAABqYxi3nlTEFapxzp1R5Sliv-Q0UpCG5kDVoIgnS0md7TuSAnlKpboAXRtiAY6qBg0I0eOSB8cQxPBKDxeOg19evEyF0zfEq80n_zxv1DVRW9nQ7yZNZ68ncXFUyBmLq2f9FMjXrEOvTxue2T5PjiVCIHQQUMTQie722tTqvpmrP_EAEpPJlE9vpwQe9XElLew5pqkbsYJkiCovtPQhoskxvTMDkbBwSzO1fIxzT5-qN28w2PYftm4EpSTbAa8TjKPi-iX3w5IKYcGI5G0Kdiz47aHGAsOMcfX3gombbFoSuAAcPBp00enOGrQdtLRARY5MBsRTlqJnFbaH8XgEpe1Zs9dQtfaYt9aMJS5nHAr2AGPDZmED42KSntjvNR1eYrz8Hasa8XIQf5W0h3Z1kxHqaglETufM6TnqqquArzMCxZw4FzzVzHDmTptId5QQCnhkzwyDoleOV8TlYLcUfkoDa4Tv_ncHtPBaR0pCQK0nU-prOIuoaO70-QBf0FX9A-iDsnbJs8h16aovBCTHOUuVcpax_U_pjVF5KXtm-9364HzVJNBrb6GP46KdaPJOdRNJOzUr9Z7aAkt9MVu1soZA-oGMimPEvtCHsM-MpQ5QdBEIFsyi4b8-ch0RhqGZBohILih4bixqrIgmORvAqxXQmhwy1VJodPGzagb2weBx0SdGviyBoIcEPkYL6ktnjpw5-kHz18esIJfPuXjROOw2PxRLxbE2bbRRj6_Z4VMSMwixUgfrtI_7Lfj2RFA1cDvItSgrffDcXCJxlZqvu3q6dYBe3Zz3E3CAWnv8Dp0ufCsSkLIC50lLeqv5ewa0C2dKDytB9e7LuS66c2Z0KF4QDyLtx1nL91Fy1wrumXosVxMTl31ldTYhcTJ8Zbxfr4Ke9E_mYgDDHVQieSvzeXOgpiPOjioutMdyCwRxKw5Mfd4ul6RL_bhmQL6YBpKyLKMaO38i47q0vb3Ak4OygwqADed3iL77VPmcdYsYhS0Y64GhUzpAXEFuHrFsNhf-jl6oCaGg","internal_chat_message_metadata_passthrough":{"turn_id":"269e0a64-e578-4ba4-b6ad-795393b1a803"},"summary":[],"metadata":{"turn_id":"269e0a64-e578-4ba4-b6ad-795393b1a803"}},{"id":"fc_0a7b700d842c302f016a6318b76590819b831d4bea5f68d539","type":"function_call","status":"completed","arguments":"{\"i\":\"Loading send instructions\",\"path\":\"skill://send\"}","call_id":"call_i38GS2dI6iKtToyjKDIH5ytq","internal_chat_message_metadata_passthrough":{"turn_id":"269e0a64-e578-4ba4-b6ad-795393b1a803"},"name":"read","metadata":{"turn_id":"269e0a64-e578-4ba4-b6ad-795393b1a803"}}]},"duration":2829.894900000001,"ttft":1993.5576999999994,"contextSnapshot":{"promptTokens":25070,"nonMessageTokens":23048}}}
{"type":"custom","customType":"tool_execution_start","data":{"toolCallId":"call_i38GS2dI6iKtToyjKDIH5ytq|fc_0a7b700d842c302f016a6318b76590819b831d4bea5f68d539","toolName":"read","startedAt":"2026-07-24T07:48:07.798Z","args":{"path":"skill://send"},"intent":"Loading send instructions"},"id":"8837e6d0","parentId":"2a534b49","timestamp":"2026-07-24T07:48:07.798Z"}
{"type":"message","id":"c1ff2635","parentId":"8837e6d0","timestamp":"2026-07-24T07:48:07.807Z","message":{"role":"toolResult","toolCallId":"call_i38GS2dI6iKtToyjKDIH5ytq|fc_0a7b700d842c302f016a6318b76590819b831d4bea5f68d539","toolName":"read","content":[{"type":"text","text":"---\nname: send\ndescription: |\n  Send a message to another SPT agent. Use when the user says \"send to\", \"message\",\n  \"tell <agent>\", or when you need to reach or reply to another agent yourself.\nargument-hint: \"<target>\"\nallowed-tools: [Bash]\n---\n\n<!-- [doc->REQ-DIST-SKELETON-THIN] [doc->REQ-SKILL-ARG-HINT] -->\n\n# /sptc:send\n\nDeliver a message to another agent (**body read from stdin**). The operative reach is delivered by the\nadapter, not baked here (thin skeleton — the prose rides `spt adapter update`): a perched session\nalready carries send/reply in its **SessionStart brief** (the `messaging-perch` block). In short:\n\n- **Send:** `printf '%s' \"<body>\" | spt send <target>` — `SENT` = live, `QUEUED` = spooled (success, do\n  not retry).\n- **Reply:** `printf '%s' \"<body>\" | spt send <sender>` (sender = the `from` on the `<EVENT>` you got).\n- No perch yet? `/sptc:ready` (or `/sptc:live`) first, or send-and-wait without one via\n  `printf '%s' \"<body>\" | spt ring <target> --timeout 60`.\n\n## Shortform — best for fan-out to many agents\n\n<!-- [doc->REQ-TAG-PEER-MESSAGING] -->\n\nA perched agent can message peers by embedding a tag in its **own turn output** — no `spt send`, no\nBash tool:\n\n- **Peer message:** `@<t1,t2,t3 body @>` — `@<` opens; the comma-separated target list runs to the\n  first space (no spaces inside the list); the body runs to the first `@>`. The adapter sends `body`\n  to each target and confirms back into your context (which delivered, which had no perch). Multiple\n  `@<…@>` blocks in one output all fire. A bare `@@id` does nothing (only the explicit block sends).\n\n**Use the tag as the fastest method for sending short messages and replies to one or more agents**\n(comma-separate the ids for several targets). Longer messages should leverage the\n`printf … | spt send <target>` CLI above when you have the Bash tool.\n\nTo commune, use `/sptc:commune` (or write `.claude/<id>-commune.md`) — the reliable path.\n\nFull guidance: `spt how-to send`.\n"}],"details":{"resolvedPath":"C:\\Users\\decid\\.claude\\plugins\\cache\\cplugs\\sptc\\0.1.16\\skills\\send\\SKILL.md","contentType":"text/markdown","displayContent":{"text":"---\nname: send\ndescription: |\n  Send a message to another SPT agent. Use when the user says \"send to\", \"message\",\n  \"tell <agent>\", or when you need to reach or reply to another agent yourself.\nargument-hint: \"<target>\"\nallowed-tools: [Bash]\n---\n\n<!-- [doc->REQ-DIST-SKELETON-THIN] [doc->REQ-SKILL-ARG-HINT] -->\n\n# /sptc:send\n\nDeliver a message to another agent (**body read from stdin**). The operative reach is delivered by the\nadapter, not baked here (thin skeleton — the prose rides `spt adapter update`): a perched session\nalready carries send/reply in its **SessionStart brief** (the `messaging-perch` block). In short:\n\n- **Send:** `printf '%s' \"<body>\" | spt send <target>` — `SENT` = live, `QUEUED` = spooled (success, do\n  not retry).\n- **Reply:** `printf '%s' \"<body>\" | spt send <sender>` (sender = the `from` on the `<EVENT>` you got).\n- No perch yet? `/sptc:ready` (or `/sptc:live`) first, or send-and-wait without one via\n  `printf '%s' \"<body>\" | spt ring <target> --timeout 60`.\n\n## Shortform — best for fan-out to many agents\n\n<!-- [doc->REQ-TAG-PEER-MESSAGING] -->\n\nA perched agent can message peers by embedding a tag in its **own turn output** — no `spt send`, no\nBash tool:\n\n- **Peer message:** `@<t1,t2,t3 body @>` — `@<` opens; the comma-separated target list runs to the\n  first space (no spaces inside the list); the body runs to the first `@>`. The adapter sends `body`\n  to each target and confirms back into your context (which delivered, which had no perch). Multiple\n  `@<…@>` blocks in one output all fire. A bare `@@id` does nothing (only the explicit block sends).\n\n**Use the tag as the fastest method for sending short messages and replies to one or more agents**\n(comma-separate the ids for several targets). Longer messages should leverage the\n`printf … | spt send <target>` CLI above when you have the Bash tool.\n\nTo commune, use `/sptc:commune` (or write `.claude/<id>-commune.md`) — the reliable path.\n\nFull guidance: `spt how-to send`.\n","startLine":1,"lineNumbers":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43]},"meta":{"source":{"type":"internal","value":"skill://send"}}},"isError":false,"timestamp":1784879287804}}
{"type":"message","id":"0857d830","parentId":"c1ff2635","timestamp":"2026-07-24T07:48:11.364Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":""},{"type":"text","text":"@<emphasys I’m here. What do you need? @>","textSignature":"{\"v\":1,\"id\":\"msg_0368f516af7d4f7e016a6318b988bc81998f6f2651f9a934e2\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":1334,"output":50,"cacheRead":24320,"cacheWrite":0,"totalTokens":25704,"reasoningTokens":28,"cost":{"input":0.006670000000000001,"output":0.0015,"cacheRead":0.012159999999999999,"cacheWrite":0,"total":0.02033}},"stopReason":"stop","timestamp":1784879287877,"responseId":"resp_0368f516af7d4f7e016a6318b810f481998872d1ceda6bfa22","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"rs_0368f516af7d4f7e016a6318b8fa808199a1f5dd8b84a2e0a7","type":"reasoning","content":[],"encrypted_content":"gAAAAABqYxi5_hmPxt90UymZTf0K_H7ByWvlSOErGFcG2vKEYFdZqAcs7Nysg1Wb9zBWEwYwZJABMaSrnm4qYK6rozCKbtzckzhaM5Xl06sM1lyP24Aq1XJF3jNtNV4_FlESsZFNXnzho6fFVDVCONQZXdLcDsNL3pHVOmM91zlsMWknruvfvK_uWurmg7nXFnyTrzuvl6nToqnD-dG9ieCSo06ZAqAs3xTr6Yc-CdZWPKsLWp3gTTQM948ZwYWwSBmsbDIfFYtz-FjQnQSvIJJhUiFb0Xw6aQWsql9h1UN5FValZNZawRJH6A9kLv1cfVABSNx1iWnXVdl6MImcz9q654ZdfsknfseWmvN8-jZv0BOKx3Mjhh-2WTfF9wqPL8wOfO9KrFsdV4s_HaSXgL8Cc5bqUgP5cRkABw0I6OaCC8rI7JKbuXrZOGkJzU7hhz3xvp9RbFEV4vWFSnoAGwR_nCkqiuDF343_oC-Aos4p-xkT7U7jlIl4pa4jFrCgvy5liSvRTQIkqz1eDan57_6K9jONRJ5xiig5qFmo6K3oisd_WRLvk0gGuUDI2S2kFhoNUiCGbN2vN4JgTEOwCvN8_h5a6LdHCQ3JA1u85kbp6kqoltp1QbL21XzpJN3O51qTjOjZarlcjUgDkmO4GXwo4Mzdohp-w0oqgUGkIu1vHx7uQEldK_iDKQ3DgNE8XPCho8PvjhPRxG4E_N3GgLh9efXpsdURCWRzV1Tf7ITvJnagjyKwue2W5S-pLLQsdwMSQKrgyKufglTu08pdA4O5Fq6dYhoGFYYe-qgm8RrK9RZcsYMW8DOfRP9qlPbeWXbqyLFqLLFwOiutp_2YkjKftPg22BDAXyrFCzn9oO5B00Xz1uKMKjI5TC-O9AdqUdZ5_XEU7i9BtI0Ot3l6imZAo8BbDAt3ZuuOQvv42PBoCofHyGQ0dpihQcumFa2RVNOl0yBWbH8zNvwLU058wrvXe1VHYGWerTWVZg9v38iqiEoAS9jWcR7H1xuTuvxSXCF6dR4fJh9oQn2OmG49j22yHNOPcz7BIrc8up5gn1EfL2J1YY1VZ94=","internal_chat_message_metadata_passthrough":{"turn_id":"269e0a64-e578-4ba4-b6ad-795393b1a803"},"summary":[],"metadata":{"turn_id":"269e0a64-e578-4ba4-b6ad-795393b1a803"}},{"id":"msg_0368f516af7d4f7e016a6318b988bc81998f6f2651f9a934e2","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys I’m here. What do you need? @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"269e0a64-e578-4ba4-b6ad-795393b1a803"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"269e0a64-e578-4ba4-b6ad-795393b1a803"}}]},"duration":3486.5953999999983,"ttft":1118.2128000000012,"contextSnapshot":{"promptTokens":25654,"nonMessageTokens":23048}}}
{"type":"message","id":"4f3228de","parentId":"0857d830","timestamp":"2026-07-24T07:48:44.862Z","message":{"role":"user","content":[{"type":"text","text":"operator test prompt - reply with: pty-ack"}],"attribution":"user","timestamp":1784879324798}}
{"type":"message","id":"c14d70c9","parentId":"4f3228de","timestamp":"2026-07-24T07:48:46.481Z","message":{"role":"assistant","content":[{"type":"text","text":"pty-ack","textSignature":"{\"v\":1,\"id\":\"msg_00fa703722d51a65016a6318de4f448198b6fabc15212b0de0\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":2286,"output":7,"cacheRead":23296,"cacheWrite":0,"totalTokens":25589,"cost":{"input":0.011430000000000001,"output":0.00021,"cacheRead":0.011647999999999999,"cacheWrite":0,"total":0.023288}},"stopReason":"stop","timestamp":1784879324937,"responseId":"resp_00fa703722d51a65016a6318dd24ac8198be2feb451d8fa63d","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_00fa703722d51a65016a6318de4f448198b6fabc15212b0de0","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"pty-ack"}],"internal_chat_message_metadata_passthrough":{"turn_id":"1b2e7f9d-ddf1-46ff-8547-a8a90fad03ab"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"1b2e7f9d-ddf1-46ff-8547-a8a90fad03ab"}}]},"duration":1543.1537000000026,"ttft":1381.5506000000023,"contextSnapshot":{"promptTokens":25582,"nonMessageTokens":22919}}}
{"type":"message","id":"12bfb5d6","parentId":"c14d70c9","timestamp":"2026-07-24T07:49:06.161Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"2\"/>"}],"attribution":"user","timestamp":1784879346134}}
{"type":"message","id":"21dbebde","parentId":"12bfb5d6","timestamp":"2026-07-24T07:49:08.513Z","message":{"role":"assistant","content":[{"type":"text","text":"ack2","textSignature":"{\"v\":1,\"id\":\"msg_00fa703722d51a65016a6318f42630819899b4e82fe26cac1f\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":294,"output":6,"cacheRead":25344,"cacheWrite":0,"totalTokens":25644,"cost":{"input":0.0014700000000000002,"output":0.00018,"cacheRead":0.012672,"cacheWrite":0,"total":0.014322}},"stopReason":"stop","timestamp":1784879346236,"responseId":"resp_00fa703722d51a65016a6318f25f648198b5578f5bc1246d2b","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_00fa703722d51a65016a6318f42630819899b4e82fe26cac1f","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack2"}],"internal_chat_message_metadata_passthrough":{"turn_id":"4da40268-028d-48d5-9cd8-1601797b3e13"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"4da40268-028d-48d5-9cd8-1601797b3e13"}}]},"duration":2276.0534999999945,"ttft":1926.5301999999938,"contextSnapshot":{"promptTokens":25638,"nonMessageTokens":22919}}}
{"type":"message","id":"6f349c10","parentId":"21dbebde","timestamp":"2026-07-24T07:49:41.454Z","message":{"role":"user","content":[{"type":"text","text":"run this shell command and show output: sleep 20 && echo done-sleeping. then reply: slow-ack"}],"attribution":"user","timestamp":1784879381372}}
{"type":"message","id":"400b9293","parentId":"6f349c10","timestamp":"2026-07-24T07:49:43.939Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":""},{"type":"toolCall","id":"call_Qx5ok9k5GtM8SoOUmG7KPISa|fc_0236db9e8b5dc172016a6319178e448198ba9702115063d641","name":"bash","arguments":{"i":"Running delayed acknowledgement","command":"sleep 20 && echo done-sleeping","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":299,"output":54,"cacheRead":25344,"cacheWrite":0,"totalTokens":25697,"reasoningTokens":16,"cost":{"input":0.001495,"output":0.0016200000000000001,"cacheRead":0.012672,"cacheWrite":0,"total":0.015787}},"stopReason":"toolUse","timestamp":1784879381583,"responseId":"resp_0236db9e8b5dc172016a631915bbc08198bca3a88237fce52a","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"rs_0236db9e8b5dc172016a631916ebdc81989bf0927c7eb4ac80","type":"reasoning","content":[],"encrypted_content":"gAAAAABqYxkX4h1ose8Mcy3wkFVcVtMNxzzzL91TEjgeN-nyYDROuMF0c36nZ-u2cqZk939d50R0ziWAVuD_c8qSTTLHfKzchmu0hbEM8Rx9w-ShiMQxWTBx-USt0aMiOUcY4ZCYZtLqVaSd_OP7Mlv6gNZnN18grHjaSdWoTPk1aqcFuAEVy2nZej9JbXQw4I9Q5YXs8i1UwpKOTs-oW-IK2sqd6tRga-SMOX4kpso-QdNky1zIpgu-ZPyvhYHNbYz_Og8vl3J3IfL1bZwSIlffqYbrMpFS26L_v2e_ds-Btc7EIxtc1Wt37USlTIqclVmJZOTwGdJMO3OGXaDGEAbSWjW4xUzzPBQLfqsLhIFPavZU4V11bhAGP1ljf5sPzNMJH1MdDG8vEriFlOA3R8Nd2ihnQJwcCD5AgM6AF7r992x10L8yJt0hhLH63YveAffDAogi96C4rPifs-z2yzPxVSzilXw0D1gS26fpfpCpz8J6UsezOXRn4fEFYTh_Oa4wWrkxH-5ur8lPMdahm-HWSZlhbPqRWhSVAo9fe-6zFI7rV1tmBCKV3_PmzSPkuzKhyfon7pzWot38cVyVx5jcbRPgWVX7M9es1R7CtB7DK_rjrdH3vu4RvAqyENWfot-oRRrF7INxalvkVW0KrQGJT9w2Eps5_fPlbb5h7B_RDgmvv2VQIxLLEpf4vbWRrNg1NnMCZCFROw5usJr7qrGlMFmDJnIxOEaJ_JkZSjl99TsPtiR9P4d-fnJe0vNniDklcGF6qcuEGpHPbnNpdqBxmgesbVwSKMoHULXTstRv9IfvkkwhH6_S1qNRr6ExUxosYU9-RbP4J8xlMh8FDqmBo5KRjPfYIuvIrZ2SPt9uAUN4Gt3zaJtc5yJUkeg_NKTmQVlcYcOKqo29O2P6NYZiJ5Zu9yGPbSoHXASMp_khwbBZVlBdy_NwG-D4EO9YpoeB_eIVBXRAed5rtnz07BdBOte2gbgW3WS8DHU4dqRcAMXVsw2ZRCs=","internal_chat_message_metadata_passthrough":{"turn_id":"ab0dce96-c699-4fc9-81b8-1cf0c3755bb6"},"summary":[],"metadata":{"turn_id":"ab0dce96-c699-4fc9-81b8-1cf0c3755bb6"}},{"id":"fc_0236db9e8b5dc172016a6319178e448198ba9702115063d641","type":"function_call","status":"completed","arguments":"{\"i\":\"Running delayed acknowledgement\",\"command\":\"sleep 20 && echo done-sleeping\",\"timeout\":30}","call_id":"call_Qx5ok9k5GtM8SoOUmG7KPISa","internal_chat_message_metadata_passthrough":{"turn_id":"ab0dce96-c699-4fc9-81b8-1cf0c3755bb6"},"name":"bash","metadata":{"turn_id":"ab0dce96-c699-4fc9-81b8-1cf0c3755bb6"}}]},"duration":2354.4429999999993,"ttft":1348.0794000000024,"contextSnapshot":{"promptTokens":25643,"nonMessageTokens":22919}}}
{"type":"custom","customType":"tool_execution_start","data":{"toolCallId":"call_Qx5ok9k5GtM8SoOUmG7KPISa|fc_0236db9e8b5dc172016a6319178e448198ba9702115063d641","toolName":"bash","startedAt":"2026-07-24T07:49:43.940Z","args":{"command":"sleep 20 && echo done-sleeping"},"intent":"Running delayed acknowledgement"},"id":"c652a085","parentId":"400b9293","timestamp":"2026-07-24T07:49:43.940Z"}
{"type":"message","id":"587e5b32","parentId":"c652a085","timestamp":"2026-07-24T07:50:04.081Z","message":{"role":"toolResult","toolCallId":"call_Qx5ok9k5GtM8SoOUmG7KPISa|fc_0236db9e8b5dc172016a6319178e448198ba9702115063d641","toolName":"bash","content":[{"type":"text","text":"done-sleeping\n\n\nWall time: 20.14 seconds"}],"details":{"timeoutSeconds":30,"wallTimeMs":20139.3131},"isError":false,"timestamp":1784879404081}}
{"type":"message","id":"0f99a573","parentId":"587e5b32","timestamp":"2026-07-24T07:50:04.110Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"3\"/>"}],"steering":true,"attribution":"user","timestamp":1784879385458}}
{"type":"message","id":"6008b209","parentId":"0f99a573","timestamp":"2026-07-24T07:50:06.519Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":""},{"type":"text","text":"ack3","textSignature":"{\"v\":1,\"id\":\"msg_0aa21ef4ae7a97ec016a63192e5c508198a075ac21c9e8d581\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":479,"output":28,"cacheRead":25344,"cacheWrite":0,"totalTokens":25851,"reasoningTokens":20,"cost":{"input":0.002395,"output":0.00084,"cacheRead":0.012672,"cacheWrite":0,"total":0.015906999999999998}},"stopReason":"stop","timestamp":1784879404148,"responseId":"resp_0aa21ef4ae7a97ec016a63192c49708198b0c7fa9b7cfecaf7","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"rs_0aa21ef4ae7a97ec016a63192dd8b48198b10fe133fdfaa4d1","type":"reasoning","content":[],"encrypted_content":"gAAAAABqYxkuYllJ0f4z57gRBMmycduY5eeIcch7EARmP4UPuZVaigsazlpwYXLRKhmKZX54mnAhSfe03JbU9LLIUmP3FJcfQuJcDSqbpgcoqq_Vq-JQWUHij8iR3QDI5_dhneRqsUQ0KcmDYLh6oXpXcQ9WnqIZ-Ph6LduJJSkhjMQuzRSRcXuk8LQFD67zpOnlbylYwuq6TUsFYXnMLQwuQP0SI8rcpNGYRRnxKjOSncIPkJ0y97a9FqZWzg-EHv3yHdV7Apn_l0kWA07hkLm4wsrMc0gCfTmDr5w2RUx2D0y5kkD2q1iZ2WDcOyr5nJOKjFVnZ6rKvCuB9HVPCPiRxxkhX-JrSAVprUiyxIFMkyE71SWkzcI_9b_9iuZ0cKopeIxJ6gOXLPzOoOsl_kchUdzPSdGz1gZqJfDguALWJmp8iPD3YR2vPe3TuXiurau5IsuQ9tg0P4AdmDW9tqkRaBqPiywJTo9c7Rk7RsPLjhKPjC9uMnXHMLFpALXU_3gvMN1GN7XqLgHfI9xxtO2RnsQln7p_ZlY9dk0434I_2hXprNf3zshggsxG82kt0TvhnIk9gQqqVnoxdZ0ysfDZuyVbiU2imUfu1HlXAeiAyhNEtSzkUgRnseR2jrZOxPPDhySXP29t6eBP7mOeT_dujnuO91YxbkTkw6wfwrYBcX7ks05GfEY2i6RzyVhr1S--kdHE_b7QhykM2g6oovZlDBhZPAkE86zGRhM6F2JYtQMioARKL7LVMQSWXy6C6AcKSETq4vNyggrQkyGApORunzj9fAs4IaDsrJxnjlevPp_mvoq3B68CqP8ftJ5QSVL-BPXvqF45vKcKLxuU1BacXjUfEQgPf0vit5h5Nn9Fc01FzT-ODGDBaxQ-xMP3hIRpUP7grSoxXUI_EuFVgtSU0cvkphGHrbxZm35pXRV6WCbRMnyJP5T0MgdH-jS0l3NaLlA0S7V5fv7cJm1dOJuzWoCMEfMUM0v-rbk7ATn1wEjoTL7GYwgO6fgict_G2JHG_gjdKGtM","internal_chat_message_metadata_passthrough":{"turn_id":"64e30b7c-5255-43f6-b3b8-aaa5a5f199ec"},"summary":[],"metadata":{"turn_id":"64e30b7c-5255-43f6-b3b8-aaa5a5f199ec"}},{"id":"msg_0aa21ef4ae7a97ec016a63192e5c508198a075ac21c9e8d581","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack3"}],"internal_chat_message_metadata_passthrough":{"turn_id":"64e30b7c-5255-43f6-b3b8-aaa5a5f199ec"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"64e30b7c-5255-43f6-b3b8-aaa5a5f199ec"}}]},"duration":2370.7554999999993,"ttft":1708.7194000000018,"contextSnapshot":{"promptTokens":25823,"nonMessageTokens":22919}}}
{"type":"message","id":"5adc5fcb","parentId":"6008b209","timestamp":"2026-07-24T07:51:30.300Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"4\"/>"}],"attribution":"user","timestamp":1784879490271}}
{"type":"message","id":"e675bd34","parentId":"5adc5fcb","timestamp":"2026-07-24T07:51:34.896Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack4 @>","textSignature":"{\"v\":1,\"id\":\"msg_028283b08bcb7947016a63198675e081988f45f9d7618c840b\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":527,"output":13,"cacheRead":25344,"cacheWrite":0,"totalTokens":25884,"cost":{"input":0.002635,"output":0.00039,"cacheRead":0.012672,"cacheWrite":0,"total":0.015697}},"stopReason":"stop","timestamp":1784879490413,"responseId":"resp_028283b08bcb7947016a6319829b6c81988689d1cd97aa9f97","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_028283b08bcb7947016a63198675e081988f45f9d7618c840b","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack4 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"04b9e978-38a8-40ff-8419-408df9490222"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"04b9e978-38a8-40ff-8419-408df9490222"}}]},"duration":4483.128499999992,"ttft":4076.3459999999905,"contextSnapshot":{"promptTokens":25871,"nonMessageTokens":22919}}}
{"type":"message","id":"9e2016cc","parentId":"e675bd34","timestamp":"2026-07-24T07:51:56.842Z","message":{"role":"user","content":[{"type":"text","text":"run: sleep 15 && echo done2. then reply only: slow2-ack"}],"attribution":"user","timestamp":1784879516811}}
{"type":"message","id":"dc3937a5","parentId":"9e2016cc","timestamp":"2026-07-24T07:51:59.478Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_ZEt2Xi17sKhOIz7UApAnjVbd|fc_04be989874c12ff9016a63199ee10c819b88c17e1dac3de40b","name":"bash","arguments":{"i":"Running second delayed acknowledgement","command":"sleep 15 && echo done2","timeout":25}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":533,"output":35,"cacheRead":25344,"cacheWrite":0,"totalTokens":25912,"cost":{"input":0.0026650000000000003,"output":0.00105,"cacheRead":0.012672,"cacheWrite":0,"total":0.016387}},"stopReason":"toolUse","timestamp":1784879516916,"responseId":"resp_04be989874c12ff9016a63199d19d8819bb7ecdbd930165c2a","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"fc_04be989874c12ff9016a63199ee10c819b88c17e1dac3de40b","type":"function_call","status":"completed","arguments":"{\"i\":\"Running second delayed acknowledgement\",\"command\":\"sleep 15 && echo done2\",\"timeout\":25}","call_id":"call_ZEt2Xi17sKhOIz7UApAnjVbd","internal_chat_message_metadata_passthrough":{"turn_id":"d18b2396-6b9e-480e-bf6d-0e0df71aa275"},"name":"bash","metadata":{"turn_id":"d18b2396-6b9e-480e-bf6d-0e0df71aa275"}}]},"duration":2561.3887000000104,"ttft":1990.1626000000106,"contextSnapshot":{"promptTokens":25877,"nonMessageTokens":22919}}}
{"type":"custom","customType":"tool_execution_start","data":{"toolCallId":"call_ZEt2Xi17sKhOIz7UApAnjVbd|fc_04be989874c12ff9016a63199ee10c819b88c17e1dac3de40b","toolName":"bash","startedAt":"2026-07-24T07:51:59.478Z","args":{"command":"sleep 15 && echo done2"},"intent":"Running second delayed acknowledgement"},"id":"369c3dc1","parentId":"dc3937a5","timestamp":"2026-07-24T07:51:59.478Z"}
{"type":"message","id":"5d8f33a5","parentId":"369c3dc1","timestamp":"2026-07-24T07:52:14.487Z","message":{"role":"toolResult","toolCallId":"call_ZEt2Xi17sKhOIz7UApAnjVbd|fc_04be989874c12ff9016a63199ee10c819b88c17e1dac3de40b","toolName":"bash","content":[{"type":"text","text":"done2\n\n\nWall time: 15.00 seconds"}],"details":{"timeoutSeconds":25,"wallTimeMs":15004.660900000017},"isError":false,"timestamp":1784879534487}}
{"type":"message","id":"3339c0b7","parentId":"5d8f33a5","timestamp":"2026-07-24T07:52:14.522Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"5\"/>"}],"steering":true,"attribution":"user","timestamp":1784879522911}}
{"type":"message","id":"22617af4","parentId":"3339c0b7","timestamp":"2026-07-24T07:52:16.143Z","message":{"role":"assistant","content":[{"type":"text","text":"ack5","textSignature":"{\"v\":1,\"id\":\"msg_04be989874c12ff9016a6319affae0819bb05395f386a2a905\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":689,"output":6,"cacheRead":25344,"cacheWrite":0,"totalTokens":26039,"cost":{"input":0.003445,"output":0.00018,"cacheRead":0.012672,"cacheWrite":0,"total":0.016297}},"stopReason":"stop","timestamp":1784879534559,"responseId":"resp_04be989874c12ff9016a6319aeaebc819bb3f5fdf000d0bbe2","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_04be989874c12ff9016a6319affae0819bb05395f386a2a905","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack5"}],"internal_chat_message_metadata_passthrough":{"turn_id":"1828ba16-86fe-4d4c-937a-186a009ce033"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"1828ba16-86fe-4d4c-937a-186a009ce033"}}]},"duration":1584.7779999999912,"ttft":1437.1897999999928,"contextSnapshot":{"promptTokens":26033,"nonMessageTokens":22919}}}
{"type":"message","id":"d219eec4","parentId":"22617af4","timestamp":"2026-07-24T07:52:16.144Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"6\"/>"}],"steering":true,"attribution":"user","timestamp":1784879524466}}
{"type":"message","id":"c4c1754c","parentId":"d219eec4","timestamp":"2026-07-24T07:52:18.013Z","message":{"role":"assistant","content":[{"type":"text","text":"ack6","textSignature":"{\"v\":1,\"id\":\"msg_0118fb6e5419b10f016a6319b1b3cc819ab49c89be5fd09908\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":770,"output":6,"cacheRead":25344,"cacheWrite":0,"totalTokens":26120,"cost":{"input":0.00385,"output":0.00018,"cacheRead":0.012672,"cacheWrite":0,"total":0.016701999999999998}},"stopReason":"stop","timestamp":1784879536174,"responseId":"resp_0118fb6e5419b10f016a6319b0a3d4819a97b95f82c3393500","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_0118fb6e5419b10f016a6319b1b3cc819ab49c89be5fd09908","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack6"}],"internal_chat_message_metadata_passthrough":{"turn_id":"a92f1d57-a8aa-4d07-b725-40c3a65cc884"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"a92f1d57-a8aa-4d07-b725-40c3a65cc884"}}]},"duration":1839.2427000000025,"ttft":1537.6860999999917,"contextSnapshot":{"promptTokens":26114,"nonMessageTokens":22919}}}
{"type":"message","id":"aeec7656","parentId":"c4c1754c","timestamp":"2026-07-24T07:52:18.035Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"7\"/>"}],"steering":true,"attribution":"user","timestamp":1784879526030}}
{"type":"message","id":"b6111142","parentId":"aeec7656","timestamp":"2026-07-24T07:52:20.635Z","message":{"role":"assistant","content":[{"type":"text","text":"ack7","textSignature":"{\"v\":1,\"id\":\"msg_0ed521625a900511016a6319b4745c8199a5de990c39aaa497\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":851,"output":6,"cacheRead":25344,"cacheWrite":0,"totalTokens":26201,"cost":{"input":0.004255,"output":0.00018,"cacheRead":0.012672,"cacheWrite":0,"total":0.017106999999999997}},"stopReason":"stop","timestamp":1784879538080,"responseId":"resp_0ed521625a900511016a6319b270808199b0f552b5bf980b89","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_0ed521625a900511016a6319b4745c8199a5de990c39aaa497","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack7"}],"internal_chat_message_metadata_passthrough":{"turn_id":"369c51af-6307-42f8-97fb-d56a6df2fac4"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"369c51af-6307-42f8-97fb-d56a6df2fac4"}}]},"duration":2555.135600000038,"ttft":2383.9204000000027,"contextSnapshot":{"promptTokens":26195,"nonMessageTokens":22919}}}
{"type":"message","id":"fdc3e9ff","parentId":"b6111142","timestamp":"2026-07-24T07:52:20.672Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"8\"/>"}],"steering":true,"attribution":"user","timestamp":1784879527633}}
{"type":"message","id":"c12e9ac9","parentId":"fdc3e9ff","timestamp":"2026-07-24T07:52:23.462Z","message":{"role":"assistant","content":[{"type":"text","text":"ack8","textSignature":"{\"v\":1,\"id\":\"msg_079bf14dc1422744016a6319b74c348198813adecbe47e496d\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":932,"output":6,"cacheRead":25344,"cacheWrite":0,"totalTokens":26282,"cost":{"input":0.00466,"output":0.00018,"cacheRead":0.012672,"cacheWrite":0,"total":0.017512}},"stopReason":"stop","timestamp":1784879540711,"responseId":"resp_079bf14dc1422744016a6319b517bc819883b4a567beb07e8b","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_079bf14dc1422744016a6319b74c348198813adecbe47e496d","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack8"}],"internal_chat_message_metadata_passthrough":{"turn_id":"54223e33-9698-4020-b8ec-1832ecc2a2f0"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"54223e33-9698-4020-b8ec-1832ecc2a2f0"}}]},"duration":2751.171399999992,"ttft":2597.1688999999897,"contextSnapshot":{"promptTokens":26276,"nonMessageTokens":22919}}}
{"type":"message","id":"3802460e","parentId":"c12e9ac9","timestamp":"2026-07-24T07:52:23.463Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"9\"/>"}],"steering":true,"attribution":"user","timestamp":1784879529201}}
{"type":"message","id":"d80b6766","parentId":"3802460e","timestamp":"2026-07-24T07:52:25.372Z","message":{"role":"assistant","content":[{"type":"text","text":"ack9","textSignature":"{\"v\":1,\"id\":\"msg_0ac4de3a205ed0b1016a6319b8e71c819a8e8270c7ca1ef7de\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":1013,"output":6,"cacheRead":25344,"cacheWrite":0,"totalTokens":26363,"cost":{"input":0.005065,"output":0.00018,"cacheRead":0.012672,"cacheWrite":0,"total":0.017917}},"stopReason":"stop","timestamp":1784879543543,"responseId":"resp_0ac4de3a205ed0b1016a6319b7cef4819aaee0b5e271cf729b","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_0ac4de3a205ed0b1016a6319b8e71c819a8e8270c7ca1ef7de","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack9"}],"internal_chat_message_metadata_passthrough":{"turn_id":"9e36573a-c9b8-405c-8bec-1eab86fbc7a0"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"9e36573a-c9b8-405c-8bec-1eab86fbc7a0"}}]},"duration":1829.2060000000056,"ttft":1374.3353000000352,"contextSnapshot":{"promptTokens":26357,"nonMessageTokens":22919}}}
{"type":"message","id":"54fd9e6f","parentId":"d80b6766","timestamp":"2026-07-24T07:52:25.410Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"10\"/>"}],"steering":true,"attribution":"user","timestamp":1784879530773}}
{"type":"message","id":"cf7dc3bb","parentId":"54fd9e6f","timestamp":"2026-07-24T07:52:27.483Z","message":{"role":"assistant","content":[{"type":"text","text":"ack10","textSignature":"{\"v\":1,\"id\":\"msg_0b4191438f2e5e4a016a6319bb571c819abea7b1e0b2e0e1cc\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":1094,"output":6,"cacheRead":25344,"cacheWrite":0,"totalTokens":26444,"cost":{"input":0.00547,"output":0.00018,"cacheRead":0.012672,"cacheWrite":0,"total":0.018321999999999998}},"stopReason":"stop","timestamp":1784879545449,"responseId":"resp_0b4191438f2e5e4a016a6319b9b6c0819a811396bc1747cf07","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_0b4191438f2e5e4a016a6319bb571c819abea7b1e0b2e0e1cc","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack10"}],"internal_chat_message_metadata_passthrough":{"turn_id":"81dc58fb-a827-4259-9eb1-5bbe3db0ae1f"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"81dc58fb-a827-4259-9eb1-5bbe3db0ae1f"}}]},"duration":2033.7030000000377,"ttft":1901.565100000007,"contextSnapshot":{"promptTokens":26438,"nonMessageTokens":22919}}}
{"type":"message","id":"fdd19e10","parentId":"cf7dc3bb","timestamp":"2026-07-24T07:52:27.504Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"11\"/>"}],"steering":true,"attribution":"user","timestamp":1784879532330}}
{"type":"message","id":"dae8eaba","parentId":"fdd19e10","timestamp":"2026-07-24T07:52:29.490Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack11 @>","textSignature":"{\"v\":1,\"id\":\"msg_0271e041d4a184ec016a6319bd3a0c81988d60f9a1d46f0973\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":1175,"output":13,"cacheRead":25344,"cacheWrite":0,"totalTokens":26532,"cost":{"input":0.005875000000000001,"output":0.00039,"cacheRead":0.012672,"cacheWrite":0,"total":0.018937}},"stopReason":"stop","timestamp":1784879547549,"responseId":"resp_0271e041d4a184ec016a6319bbccf88198a82d66e1d8e065b2","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_0271e041d4a184ec016a6319bd3a0c81988d60f9a1d46f0973","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack11 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"c18ed7eb-2200-41b7-b8be-38ffa1d27df3"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"c18ed7eb-2200-41b7-b8be-38ffa1d27df3"}}]},"duration":1940.5426999999909,"ttft":1695.9651000000304,"contextSnapshot":{"promptTokens":26519,"nonMessageTokens":22919}}}
{"type":"message","id":"2fd07dcb","parentId":"dae8eaba","timestamp":"2026-07-24T07:52:29.491Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"12\"/>"}],"steering":true,"attribution":"user","timestamp":1784879533890}}
{"type":"message","id":"901f97ff","parentId":"2fd07dcb","timestamp":"2026-07-24T07:52:32.361Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack12 @>","textSignature":"{\"v\":1,\"id\":\"msg_084b746eb661888d016a6319c015b8819a81fb89ededb33e3b\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":239,"output":13,"cacheRead":26368,"cacheWrite":0,"totalTokens":26620,"cost":{"input":0.001195,"output":0.00039,"cacheRead":0.013184,"cacheWrite":0,"total":0.014769}},"stopReason":"stop","timestamp":1784879549538,"responseId":"resp_084b746eb661888d016a6319be0a9c819ab36056a40a1c5904","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_084b746eb661888d016a6319c015b8819a81fb89ededb33e3b","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack12 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"c9ab080f-5f45-4810-80d5-0ed348cef670"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"c9ab080f-5f45-4810-80d5-0ed348cef670"}}]},"duration":2822.812799999956,"ttft":2557.5427999999956,"contextSnapshot":{"promptTokens":26607,"nonMessageTokens":22919}}}
{"type":"message","id":"053da737","parentId":"901f97ff","timestamp":"2026-07-24T07:52:32.362Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"13\"/>"}],"steering":true,"attribution":"user","timestamp":1784879535454}}
{"type":"message","id":"abf3506a","parentId":"053da737","timestamp":"2026-07-24T07:52:36.148Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack13 @>","textSignature":"{\"v\":1,\"id\":\"msg_0a6b78c09e63129d016a6319c3dcf881988188a71c3482d226\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":327,"output":13,"cacheRead":26368,"cacheWrite":0,"totalTokens":26708,"cost":{"input":0.0016350000000000002,"output":0.00039,"cacheRead":0.013184,"cacheWrite":0,"total":0.015209}},"stopReason":"stop","timestamp":1784879552953,"responseId":"resp_0a6b78c09e63129d016a6319c2312c81988544155e9e2db8d2","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_0a6b78c09e63129d016a6319c3dcf881988188a71c3482d226","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack13 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"a0eb0928-462f-4a1f-bed8-bc4b37ac1525"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"a0eb0928-462f-4a1f-bed8-bc4b37ac1525"}}]},"duration":3194.7837999999756,"ttft":2917.2580999999773,"contextSnapshot":{"promptTokens":26695,"nonMessageTokens":22919}}}
{"type":"message","id":"46d2ca1a","parentId":"abf3506a","timestamp":"2026-07-24T07:52:36.176Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"14\"/>"}],"steering":true,"attribution":"user","timestamp":1784879537025}}
{"type":"message","id":"70463a7d","parentId":"46d2ca1a","timestamp":"2026-07-24T07:52:40.094Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack14 @>","textSignature":"{\"v\":1,\"id\":\"msg_061c798f594d7f0e016a6319c7cad08199ad44f9c8120c09cf\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":415,"output":13,"cacheRead":26368,"cacheWrite":0,"totalTokens":26796,"cost":{"input":0.002075,"output":0.00039,"cacheRead":0.013184,"cacheWrite":0,"total":0.015649}},"stopReason":"stop","timestamp":1784879556217,"responseId":"resp_061c798f594d7f0e016a6319c47a3081999154693f516479f7","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_061c798f594d7f0e016a6319c7cad08199ad44f9c8120c09cf","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack14 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"f0d8fd92-bc1e-4d1e-8772-e88ebae3fe0b"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"f0d8fd92-bc1e-4d1e-8772-e88ebae3fe0b"}}]},"duration":3876.4586000000127,"ttft":3583.2556999999797,"contextSnapshot":{"promptTokens":26783,"nonMessageTokens":22919}}}
{"type":"message","id":"5f4f0ae2","parentId":"70463a7d","timestamp":"2026-07-24T07:52:40.121Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"15\"/>"}],"steering":true,"attribution":"user","timestamp":1784879538582}}
{"type":"message","id":"6fedb4c3","parentId":"5f4f0ae2","timestamp":"2026-07-24T07:52:42.997Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack15 @>","textSignature":"{\"v\":1,\"id\":\"msg_069468f4ded4cb03016a6319cab498819a9a96002261a9cda0\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":503,"output":13,"cacheRead":26368,"cacheWrite":0,"totalTokens":26884,"cost":{"input":0.0025150000000000003,"output":0.00039,"cacheRead":0.013184,"cacheWrite":0,"total":0.016089}},"stopReason":"stop","timestamp":1784879560167,"responseId":"resp_069468f4ded4cb03016a6319c870d4819aa30b18ac00941b82","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_069468f4ded4cb03016a6319cab498819a9a96002261a9cda0","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack15 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"8461d158-a7b2-4fee-87ef-77f4dc62b64e"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"8461d158-a7b2-4fee-87ef-77f4dc62b64e"}}]},"duration":2829.0478000000003,"ttft":2546.67849999998,"contextSnapshot":{"promptTokens":26871,"nonMessageTokens":22919}}}
{"type":"message","id":"0c8be034","parentId":"6fedb4c3","timestamp":"2026-07-24T07:52:42.997Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"16\"/>"}],"steering":true,"attribution":"user","timestamp":1784879540188}}
{"type":"message","id":"7601fd1f","parentId":"0c8be034","timestamp":"2026-07-24T07:52:44.973Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack16 @>","textSignature":"{\"v\":1,\"id\":\"msg_0be6880da6c4416d016a6319cca29881998d6cad12b9ff7b75\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":591,"output":13,"cacheRead":26368,"cacheWrite":0,"totalTokens":26972,"cost":{"input":0.002955,"output":0.00039,"cacheRead":0.013184,"cacheWrite":0,"total":0.016529}},"stopReason":"stop","timestamp":1784879563036,"responseId":"resp_0be6880da6c4416d016a6319cb7b448199bae85f23528cfb0a","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_0be6880da6c4416d016a6319cca29881998d6cad12b9ff7b75","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack16 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"f4a5cd69-7478-472f-9bb3-ac79af0122d2"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"f4a5cd69-7478-472f-9bb3-ac79af0122d2"}}]},"duration":1936.4695000000065,"ttft":1608.206600000034,"contextSnapshot":{"promptTokens":26959,"nonMessageTokens":22919}}}
{"type":"message","id":"1176f018","parentId":"7601fd1f","timestamp":"2026-07-24T07:52:44.996Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"17\"/>"}],"steering":true,"attribution":"user","timestamp":1784879541752}}
{"type":"message","id":"377fb833","parentId":"1176f018","timestamp":"2026-07-24T07:52:50.176Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack17 @>","textSignature":"{\"v\":1,\"id\":\"msg_06905eea549bc0e7016a6319d1fbfc819ba86f80fda518c526\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":679,"output":13,"cacheRead":26368,"cacheWrite":0,"totalTokens":27060,"cost":{"input":0.0033950000000000004,"output":0.00039,"cacheRead":0.013184,"cacheWrite":0,"total":0.016969}},"stopReason":"stop","timestamp":1784879565044,"responseId":"resp_06905eea549bc0e7016a6319cda8d0819b89096d7f9da5d250","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_06905eea549bc0e7016a6319d1fbfc819ba86f80fda518c526","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack17 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"e9851d13-3f58-4797-8ebe-75a20c28077e"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"e9851d13-3f58-4797-8ebe-75a20c28077e"}}]},"duration":5132.186800000025,"ttft":4947.04720000003,"contextSnapshot":{"promptTokens":27047,"nonMessageTokens":22919}}}
{"type":"message","id":"ac684996","parentId":"377fb833","timestamp":"2026-07-24T07:52:50.212Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"18\"/>"}],"steering":true,"attribution":"user","timestamp":1784879543347}}
{"type":"message","id":"89263d30","parentId":"ac684996","timestamp":"2026-07-24T07:52:51.965Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack18 @>","textSignature":"{\"v\":1,\"id\":\"msg_0c5542739e208ba2016a6319d3ab948198adf8354c999ebd4f\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":767,"output":13,"cacheRead":26368,"cacheWrite":0,"totalTokens":27148,"cost":{"input":0.0038350000000000003,"output":0.00039,"cacheRead":0.013184,"cacheWrite":0,"total":0.017409}},"stopReason":"stop","timestamp":1784879570299,"responseId":"resp_0c5542739e208ba2016a6319d277e481989d1535c17c677768","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_0c5542739e208ba2016a6319d3ab948198adf8354c999ebd4f","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack18 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"c79e97f8-4064-4717-a112-937d4810e166"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"c79e97f8-4064-4717-a112-937d4810e166"}}]},"duration":1665.2454000000143,"ttft":1379.9801999999909,"contextSnapshot":{"promptTokens":27135,"nonMessageTokens":22919}}}
{"type":"message","id":"98475747","parentId":"89263d30","timestamp":"2026-07-24T07:53:51.910Z","message":{"role":"user","content":[{"type":"text","text":"C:/Program Files/Git/compact"}],"attribution":"user","timestamp":1784879631883}}
{"type":"message","id":"ba91af32","parentId":"98475747","timestamp":"2026-07-24T07:53:56.043Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":""},{"type":"toolCall","id":"call_Cj3uv8ZbRJtK5NaNa0xD8tJd|fc_06037bd5a9697e45016a631a126d50819b92cbe18427a9f3e7","name":"read","arguments":{"i":"Inspecting provided path","path":"C:/Program Files/Git/compact"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":768,"output":56,"cacheRead":26368,"cacheWrite":0,"totalTokens":27192,"reasoningTokens":23,"cost":{"input":0.0038400000000000005,"output":0.00168,"cacheRead":0.013184,"cacheWrite":0,"total":0.018704}},"stopReason":"toolUse","timestamp":1784879631987,"responseId":"resp_06037bd5a9697e45016a631a10423c819ba1ec5418673170eb","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"rs_06037bd5a9697e45016a631a119248819bba89efb0c3064104","type":"reasoning","content":[],"encrypted_content":"gAAAAABqYxoSStG_k0TtwONK4dA9cSoQmS3Ngjls4yFHt-N-5mIYFhiY1OQ7kRzhP5EIq8QTrgDn8WEX06RB4fNqIdBn_H72Z2FjxIv0hW6iRGQo4Z5ig6VCaA8AAp6O7c611z1Qio8LPUpne8rmlTIWsPO8ZqVCQm6x2op1qFfMLNVR5wmWfGn5XYsYn6AFkKVeC2ADjm1fFffQLwDuNjBdmJDiTHmzlFFqDsdaY-vhXZpkPpNGJFHt8IEyTybziPOaboF_NvdDNGuWDFBn8fATqhspshwl8aEHBfUj3TxLn45CQOeB5-c7B02S6UNodRss67Re-LIIdSNFPVxqJaCiLRAcxmhYqR59dfoVpIHK9v80JZ-YN-JbG0kzVoQN9yKUmUo0exUaCrK7clfjhb__tEgaabbXFZ-DXOH-TyQj3q7FlDZ6adOUQFWpT3BUf0X16cshX-KiyPEn-ueQU-zoMr6gQo09b1DUIWj_cO_F2rda_PcR7gjV4ax-iyq4O5a74NrEBmtfPzPVa7iVq5LVmc4YRM1pv_s6znrcqOKlWvZq4B4GSA-hjqvSgnlUhIM50awNtLfTFfJspFmpF2GkUgtZIqlANO9-sscUSMH2WMXBGJH9Olzb5BPqFpsHo1mp_q4op6CljLTvNZnuewUIKY4kES6Z9_L4uKGWfaY5grzCVaxB5AUjRIliQ47Ogjbvbunk7rOYMp0JYaH2drl_mAQzemlTUSH0GoBZ3jZelaWf6Ivxf9Kr2lUAZXITcK7q8bJAtjO2ajVMxvt23Oqi4HCCvqTEIdXQJf71Rp5AV4BLdWobmCPFJBfM99I7bxK7lS7Z4l1uY3DBsf-ax0EYDhbGmzXX0yuztJpM08O-6ye_jAUMhkiUW-rXPv5AirNA7d6ZIUTvjjunJQ4fOfo57UOfRF2jFznEgcwzsApRXUIJgJVsEgfBsB2YyIHir2wd-gW94bZ3-QU7PX7xZW-OfCVSMYZk5-qbGBovgcMLseGD37URG49OL7k59y2PUMn5LEOlhzhB3H3SbCUd03MstgwQmZN1HA==","internal_chat_message_metadata_passthrough":{"turn_id":"6fcb74c3-b109-4670-87d8-56f5a1eb3632"},"summary":[],"metadata":{"turn_id":"6fcb74c3-b109-4670-87d8-56f5a1eb3632"}},{"id":"fc_06037bd5a9697e45016a631a126d50819b92cbe18427a9f3e7","type":"function_call","status":"completed","arguments":"{\"i\":\"Inspecting provided path\",\"path\":\"C:/Program Files/Git/compact\"}","call_id":"call_Cj3uv8ZbRJtK5NaNa0xD8tJd","internal_chat_message_metadata_passthrough":{"turn_id":"6fcb74c3-b109-4670-87d8-56f5a1eb3632"},"name":"read","metadata":{"turn_id":"6fcb74c3-b109-4670-87d8-56f5a1eb3632"}}]},"duration":4055.168000000005,"ttft":1592.6902000000118,"contextSnapshot":{"promptTokens":27136,"nonMessageTokens":22919}}}
{"type":"custom","customType":"tool_execution_start","data":{"toolCallId":"call_Cj3uv8ZbRJtK5NaNa0xD8tJd|fc_06037bd5a9697e45016a631a126d50819b92cbe18427a9f3e7","toolName":"read","startedAt":"2026-07-24T07:53:56.044Z","args":{"path":"C:/Program Files/Git/compact"},"intent":"Inspecting provided path"},"id":"e5205964","parentId":"ba91af32","timestamp":"2026-07-24T07:53:56.044Z"}
{"type":"message","id":"1f3e7446","parentId":"e5205964","timestamp":"2026-07-24T07:53:56.055Z","message":{"role":"toolResult","toolCallId":"call_Cj3uv8ZbRJtK5NaNa0xD8tJd|fc_06037bd5a9697e45016a631a126d50819b92cbe18427a9f3e7","toolName":"read","content":[{"type":"text","text":"Path 'C:/Program Files/Git/compact' not found"}],"details":{},"isError":true,"timestamp":1784879636054}}
{"type":"message","id":"a623b661","parentId":"1f3e7446","timestamp":"2026-07-24T07:53:56.091Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"19\"/>"}],"steering":true,"attribution":"user","timestamp":1784879633929}}
{"type":"message","id":"56136eb7","parentId":"a623b661","timestamp":"2026-07-24T07:54:01.362Z","message":{"role":"assistant","content":[{"type":"text","text":"@<emphasys ack19 @>","textSignature":"{\"v\":1,\"id\":\"msg_00b1641de945c3e2016a631a18f264819b8917c763088949e6\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":947,"output":13,"cacheRead":26368,"cacheWrite":0,"totalTokens":27328,"cost":{"input":0.0047350000000000005,"output":0.00039,"cacheRead":0.013184,"cacheWrite":0,"total":0.018309}},"stopReason":"stop","timestamp":1784879636130,"responseId":"resp_00b1641de945c3e2016a631a14a404819b90beae3fba157dd1","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_00b1641de945c3e2016a631a18f264819b8917c763088949e6","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"@<emphasys ack19 @>"}],"internal_chat_message_metadata_passthrough":{"turn_id":"22a5cb84-4276-4437-bcf4-eb53a2e9b945"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"22a5cb84-4276-4437-bcf4-eb53a2e9b945"}}]},"duration":5231.668999999994,"ttft":4832.378599999996,"contextSnapshot":{"promptTokens":27315,"nonMessageTokens":22919}}}
{"type":"message","id":"69e80394","parentId":"56136eb7","timestamp":"2026-07-24T07:54:52.183Z","message":{"role":"user","content":[{"type":"text","text":"run: sleep 30 && echo done3. then reply: slow3-ack"}],"attribution":"user","timestamp":1784879692156}}
{"type":"message","id":"6c223ce7","parentId":"69e80394","timestamp":"2026-07-24T07:54:55.178Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_OT1OHaFCAR7nOmqjoNVWIj5N|fc_06deebdb49b0913b016a631a4e9f80819a9ddb6a8b72ea7109","name":"bash","arguments":{"i":"Running third delayed acknowledgement","command":"sleep 30 && echo done3","timeout":40}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":956,"output":35,"cacheRead":26368,"cacheWrite":0,"totalTokens":27359,"cost":{"input":0.00478,"output":0.00105,"cacheRead":0.013184,"cacheWrite":0,"total":0.019014}},"stopReason":"toolUse","timestamp":1784879692260,"responseId":"resp_06deebdb49b0913b016a631a4c8364819abb29c472dcc49dea","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"fc_06deebdb49b0913b016a631a4e9f80819a9ddb6a8b72ea7109","type":"function_call","status":"completed","arguments":"{\"i\":\"Running third delayed acknowledgement\",\"command\":\"sleep 30 && echo done3\",\"timeout\":40}","call_id":"call_OT1OHaFCAR7nOmqjoNVWIj5N","internal_chat_message_metadata_passthrough":{"turn_id":"9bbcb252-2dd7-4963-b8d5-c9f26be9eed6"},"name":"bash","metadata":{"turn_id":"9bbcb252-2dd7-4963-b8d5-c9f26be9eed6"}}]},"duration":2917.638500000001,"ttft":2371.2727000000305,"contextSnapshot":{"promptTokens":27324,"nonMessageTokens":22919}}}
{"type":"custom","customType":"tool_execution_start","data":{"toolCallId":"call_OT1OHaFCAR7nOmqjoNVWIj5N|fc_06deebdb49b0913b016a631a4e9f80819a9ddb6a8b72ea7109","toolName":"bash","startedAt":"2026-07-24T07:54:55.179Z","args":{"command":"sleep 30 && echo done3"},"intent":"Running third delayed acknowledgement"},"id":"df52eecd","parentId":"6c223ce7","timestamp":"2026-07-24T07:54:55.179Z"}
{"type":"message","id":"890436fb","parentId":"df52eecd","timestamp":"2026-07-24T07:55:00.267Z","message":{"role":"toolResult","toolCallId":"call_OT1OHaFCAR7nOmqjoNVWIj5N|fc_06deebdb49b0913b016a631a4e9f80819a9ddb6a8b72ea7109","toolName":"bash","content":[{"type":"text","text":"[Command cancelled]\n"}],"details":{},"isError":true,"timestamp":1784879700267}}
{"type":"message","id":"bac83a3c","parentId":"890436fb","timestamp":"2026-07-24T07:55:00.346Z","message":{"role":"assistant","content":[],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"totalTokens":0,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"aborted","errorMessage":"Interrupted by user","errorId":67112960,"timestamp":1784879700341}}
{"type":"message","id":"11d9fd7f","parentId":"bac83a3c","timestamp":"2026-07-24T07:55:02.281Z","message":{"role":"user","content":[{"type":"text","text":"<msg from=\"emphasys\" delivery=\"20\"/>"}],"attribution":"user","timestamp":1784879702253}}
{"type":"message","id":"02eb0108","parentId":"11d9fd7f","timestamp":"2026-07-24T07:55:06.587Z","message":{"role":"assistant","content":[{"type":"text","text":"ack20","textSignature":"{\"v\":1,\"id\":\"msg_04aaa9819a4e2c8f016a631a5a1aa0819bb8a1992212b8e673\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.6-sol","usage":{"input":1050,"output":6,"cacheRead":26368,"cacheWrite":0,"totalTokens":27424,"cost":{"input":0.00525,"output":0.00018,"cacheRead":0.013184,"cacheWrite":0,"total":0.018614}},"stopReason":"stop","timestamp":1784879702390,"responseId":"resp_04aaa9819a4e2c8f016a631a568f2c819bbb0f3cbe9d5fcd89","providerPayload":{"type":"openaiResponsesHistory","provider":"openai-codex","dt":true,"items":[{"id":"msg_04aaa9819a4e2c8f016a631a5a1aa0819bb8a1992212b8e673","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"ack20"}],"internal_chat_message_metadata_passthrough":{"turn_id":"47eda182-f1bc-4195-940f-5213414f82bf"},"phase":"final_answer","role":"assistant","metadata":{"turn_id":"47eda182-f1bc-4195-940f-5213414f82bf"}}]},"duration":4197.354700000025,"ttft":3753.5327000000398,"contextSnapshot":{"promptTokens":27418,"nonMessageTokens":22919}}}