# logs

level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=18 success="true" event.timestamp=2026-06-07T03:11:04.757Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":"’ll","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"AEtoQAWdvQcec","output_index":0,"sequence_number":23}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 26
  payload length: 24
  payload: 0xa2c26001f81848da7b2f252bcc2825373592389f99d40200
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":" rebuild","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"djV2dmeY","output_index":0,"sequence_number":24}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=36 success="true" event.timestamp=2026-06-07T03:11:04.794Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=36 success="true" event.timestamp=2026-06-07T03:11:04.794Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":" rebuild","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"djV2dmeY","output_index":0,"sequence_number":24}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 25
  payload length: 23
  payload: 0x1a1aad1047c30c171f4ff702d3b41ce2dac446a6b50000
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":" the","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"A1hDLIGp5flm","output_index":0,"sequence_number":25}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=7 success="true" event.timestamp=2026-06-07T03:11:04.801Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=7 success="true" event.timestamp=2026-06-07T03:11:04.801Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":" the","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"A1hDLIGp5flm","output_index":0,"sequence_number":25}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 29
  payload length: 27
  payload: 0xa2d8673e9979a515b4f75ba521b04bed9b5192ec4c9ccfcc6a0100
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":" Linux","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"y10wjMhtcC","output_index":0,"sequence_number":26}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=14 success="true" event.timestamp=2026-06-07T03:11:04.816Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=14 success="true" event.timestamp=2026-06-07T03:11:04.816Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":" Linux","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"y10wjMhtcC","output_index":0,"sequence_number":26}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 25
  payload length: 23
  payload: 0xa2bc15023d7f9bf69e734d373635aa4825ce67e6b50000
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":" artifact","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"Eg352xe","output_index":0,"sequence_number":27}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: false false false
  opcode: PING
  length: 6
  payload length: 4
  payload: 0x76b449d0
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Sending frame: Frame { header: FrameHeader { is_final: true, rsv1: false, rsv2: false, rsv3: false, opcode: Control(Pong), mask: Some([35, 191, 86, 32]) }, payload: b"v\xb4I\xd0" }


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  writing frame 
  <FRAME>
  final: true
  reserved: false false false
  opcode: PONG
  length: 10
  payload length: 4
  payload: 0x76b449d0
              


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=36 success="true" event.timestamp=2026-06-07T03:11:04.853Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=36 success="true" event.timestamp=2026-06-07T03:11:04.853Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":" artifact","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"Eg352xe","output_index":0,"sequence_number":27}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 24
  payload length: 22
  payload: 0xa2c24808f4682a3af4662a3c0a12891b9433b2a80500
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":" increment","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"FxHpa8","output_index":0,"sequence_number":28}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=2 success="true" event.timestamp=2026-06-07T03:11:04.855Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=2 success="true" event.timestamp=2026-06-07T03:11:04.855Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":" increment","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"FxHpa8","output_index":0,"sequence_number":28}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 28
  payload length: 26
  payload: 0xa2d467f4698164e557a487079547a627bb631d67c6f499652d00
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":"ally","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"joxgWRwYgcGa","output_index":0,"sequence_number":29}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=20 success="true" event.timestamp=2026-06-07T03:11:04.875Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=20 success="true" event.timestamp=2026-06-07T03:11:04.875Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":"ally","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"joxgWRwYgcGa","output_index":0,"sequence_number":29}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 29
  payload length: 27
  payload: 0xa238cee831809a14e61e665c605e14ec64649c4194cf8c0d6a0100
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":" on","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"bVGV3p7rSB23h","output_index":0,"sequence_number":30}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=1 success="true" event.timestamp=2026-06-07T03:11:04.877Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=1 success="true" event.timestamp=2026-06-07T03:11:04.877Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":" on","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"bVGV3p7rSB23h","output_index":0,"sequence_number":30}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 29
  payload length: 27
  payload: 0xa2d86709b4f798595a4e54907b49564158a5795014713e33ac0500
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":" `","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"6flZRGtjpVy7RZ","output_index":0,"sequence_number":31}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=19 success="true" event.timestamp=2026-06-07T03:11:04.896Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=19 success="true" event.timestamp=2026-06-07T03:11:04.896Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":" `","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"6flZRGtjpVy7RZ","output_index":0,"sequence_number":31}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 30
  payload length: 28
  payload: 0xa2d467e9458965a0c51434f75e70468989b9776e2171f599b1512d00
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":"gravity","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"Sht47KmqY","output_index":0,"sequence_number":32}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=17 success="true" event.timestamp=2026-06-07T03:11:04.914Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=17 success="true" event.timestamp=2026-06-07T03:11:04.914Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":"gravity","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"Sht47KmqY","output_index":0,"sequence_number":32}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 28
  payload length: 26
  payload: 0xa2d467a0f3ece951ea1bfb3845581a26f9971712e733e35a0000
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":"-linux","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"3LBX91bOwq","output_index":0,"sequence_number":33}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=26 success="true" event.timestamp=2026-06-07T03:11:04.940Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=26 success="true" event.timestamp=2026-06-07T03:11:04.940Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":"-linux","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"3LBX91bOwq","output_index":0,"sequence_number":33}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 30
  payload length: 28
  payload: 0xa2d4670974184d35f44c2e754acd0ccacecaf6c93521ce6726b50000
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.delta","content_index":0,"delta":"`.","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"1IcuBeiRkjkLm4","output_index":0,"sequence_number":34}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=11 success="true" event.timestamp=2026-06-07T03:11:04.952Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.delta duration_ms=11 success="true" event.timestamp=2026-06-07T03:11:04.952Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.delta","content_index":0,"delta":"`.","item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"obfuscation":"1IcuBeiRkjkLm4","output_index":0,"sequence_number":34}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 95
  payload length: 93
  payload: 0x22e033d0d2221a4da4a1f985b0634de1f36521e03974d81410e4623dd0c21fd039eaa04150e4fb64a0a779e4c1765740c737605763807aceb05ea60e641b8927b8350c6b368235819b23f0aa1bed1046a00b12a09912928281b15d0b00
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_text.done","content_index":0,"item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"output_index":0,"sequence_number":35,"text":"The regression test is in. I’m formatting and running the focused apply tests locally, then I’ll rebuild the Linux artifact incrementally on `gravity-linux`."}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.done duration_ms=3092 success="true" event.timestamp=2026-06-07T03:11:08.045Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_text.done duration_ms=3092 success="true" event.timestamp=2026-06-07T03:11:08.045Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_text.done","content_index":0,"item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","logprobs":[],"output_index":0,"sequence_number":35,"text":"The regression test is in. I’m formatting and running the focused apply tests locally, then I’ll rebuild the Linux artifact incrementally on `gravity-linux`."}


level: TRACE
target: codex_api::sse::responses
module_path: codex_api::sse::responses
file: codex-api\src\sse\responses.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: unhandled responses event: response.output_text.done


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 21
  payload length: 19
  payload: 0x22304549cb80a5c50ce51008716c49c6ac1600
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.content_part.done","content_index":0,"item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"The regression test is in. I’m formatting and running the focused apply tests locally, then I’ll rebuild the Linux artifact incrementally on `gravity-linux`."},"sequence_number":36}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.content_part.done duration_ms=10 success="true" event.timestamp=2026-06-07T03:11:08.056Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.content_part.done duration_ms=10 success="true" event.timestamp=2026-06-07T03:11:08.056Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.content_part.done","content_index":0,"item_id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"The regression test is in. I’m formatting and running the focused apply tests locally, then I’ll rebuild the Linux artifact incrementally on `gravity-linux`."},"sequence_number":36}


level: TRACE
target: codex_api::sse::responses
module_path: codex_api::sse::responses
file: codex-api\src\sse\responses.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: unhandled responses event: response.content_part.done


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 29
  payload length: 27
  payload: 0xc23fad0e8d065acfaa23f60423cfa90ff708194c6b068ccd6b0100
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_item.done","item":{"id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The regression test is in. I’m formatting and running the focused apply tests locally, then I’ll rebuild the Linux artifact incrementally on `gravity-linux`."}],"phase":"commentary","role":"assistant","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":0,"sequence_number":37}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.done duration_ms=7 success="true" event.timestamp=2026-06-07T03:11:08.063Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.done duration_ms=7 success="true" event.timestamp=2026-06-07T03:11:08.064Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_item.done","item":{"id":"msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The regression test is in. I’m formatting and running the focused apply tests locally, then I’ll rebuild the Linux artifact incrementally on `gravity-linux`."}],"phase":"commentary","role":"assistant","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":0,"sequence_number":37}


level: DEBUG
target: codex_core::stream_events_utils
module_path: codex_core::stream_events_utils
file: core\src\stream_events_utils.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="message_from_assistant" from="output_item_done"}:handle_output_item_done: Output item item=Message { id: Some("msg_034b05ed44886ef7016a24e1486380819b94f62894c0b0c4ca"), role: "assistant", content: [OutputText { text: "The regression test is in. I’m formatting and running the focused apply tests locally, then I’ll rebuild the Linux artifact incrementally on `gravity-linux`." }], phase: Some(Commentary) }


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 105
  payload length: 103
  payload: 0x226381455a32ee94906c60696e014a09499646c996c6a6491686064646e669a68894005b460c3e4a14393da0aeb2482c4a2f05dfde0e94012510a06288ffc12c4fb7aadca43483c22293a81cd7cc90a244a3420b47df74d0c40b8e63c0a81a9886d802d3a21600
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_item.added","item":{"id":"fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5","type":"function_call","status":"in_progress","arguments":"","call_id":"call_IFzmbf0qr4ZlEiTra2q8AMg2","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":1,"sequence_number":38}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.added duration_ms=9 success="true" event.timestamp=2026-06-07T03:11:08.073Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.added duration_ms=9 success="true" event.timestamp=2026-06-07T03:11:08.073Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_item.added","item":{"id":"fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5","type":"function_call","status":"in_progress","arguments":"","call_id":"call_IFzmbf0qr4ZlEiTra2q8AMg2","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":1,"sequence_number":38}


level: DEBUG
target: codex_core::stream_events_utils
module_path: codex_core::stream_events_utils
file: core\src\stream_events_utils.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}: Output item item=FunctionCall { id: Some("fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5"), name: "shell_command", namespace: None, arguments: "", call_id: "call_IFzmbf0qr4ZlEiTra2q8AMg2" }


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 117
  payload length: 115
  payload: 0xc20c4c14cfc6c3fd04af1c615561750cec10a318252b201b748381425a2ee8a0aa18d8a14a6019c8398da065eec520464a6a72660a88e1024cbd60a3419c02c8fd2a60767141896e727e512ad824c4e14f31a0591ad0c94db5287530b9718b5ae9bab825675b661445656394bb5803ceb21600
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.function_call_arguments.delta","delta":"{\"command\":\"cargo fmt\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5","obfuscation":"DFck9hrZk","output_index":1,"sequence_number":39}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 21
  payload length: 19
  payload: 0x2221e020651372ea18f2614730844c0c6a0100
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.function_call_arguments.done","arguments":"{\"command\":\"cargo fmt\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5","output_index":1,"sequence_number":40}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.delta duration_ms=5 success="true" event.timestamp=2026-06-07T03:11:08.078Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.delta duration_ms=5 success="true" event.timestamp=2026-06-07T03:11:08.078Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.function_call_arguments.delta","delta":"{\"command\":\"cargo fmt\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5","obfuscation":"DFck9hrZk","output_index":1,"sequence_number":39}


level: TRACE
target: codex_api::sse::responses
module_path: codex_api::sse::responses
file: codex-api\src\sse\responses.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: unhandled responses event: response.function_call_arguments.delta


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.done duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.078Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.done duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.078Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.function_call_arguments.done","arguments":"{\"command\":\"cargo fmt\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5","output_index":1,"sequence_number":40}


level: TRACE
target: codex_api::sse::responses
module_path: codex_api::sse::responses
file: codex-api\src\sse\responses.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: unhandled responses event: response.function_call_arguments.done


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 22
  payload length: 20
  payload: 0x22bdc4a65536452eb6074f340cfef2c1c4b01600
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_item.done","item":{"id":"fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5","type":"function_call","status":"completed","arguments":"{\"command\":\"cargo fmt\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","call_id":"call_IFzmbf0qr4ZlEiTra2q8AMg2","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":1,"sequence_number":41}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 62
  payload length: 60
  payload: 0xa27a619b980aa976cd522c8c0d535213938c2c0ccc538ca85cd8ba06e595854758984705bb961b983b97041bf8f938fa07fbd129308db005a6512d00
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_item.added","item":{"id":"fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2","type":"function_call","status":"in_progress","arguments":"","call_id":"call_ERnvWX87ZSEw07CtS0NLAOSN","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":2,"sequence_number":42}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 56
  payload length: 54
  payload: 0xa272610b6e2be8162880125b4a626a2e685b14a82500ba92d3ca0ad21cd02d1c5c650aeee8472d8fbd8c33dc8231bb755803d6b81600
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.function_call_arguments.delta","delta":"{\"command\":\"cargo test -p spt-daemon applyhost::tests -q\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2","obfuscation":"J3hFSq","output_index":2,"sequence_number":43}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 15
  payload length: 13
  payload: 0xa27e613cccc29670209ad40200
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.function_call_arguments.done","arguments":"{\"command\":\"cargo test -p spt-daemon applyhost::tests -q\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2","output_index":2,"sequence_number":44}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 22
  payload length: 20
  payload: 0xa276794d7e4e27a9bc1e4c3135044a21d35a0000
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_item.done","item":{"id":"fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2","type":"function_call","status":"completed","arguments":"{\"command\":\"cargo test -p spt-daemon applyhost::tests -q\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","call_id":"call_ERnvWX87ZSEw07CtS0NLAOSN","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":2,"sequence_number":45}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 62
  payload length: 60
  payload: 0xa241919e0c8a680b638b144b03833463c33463031313432a17e9f9ceae890586e92919a591fe6e4551fed98ee9c1a92ec6a1740a4c636c8169560b00
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_item.added","item":{"id":"fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441","type":"function_call","status":"in_progress","arguments":"","call_id":"call_oCEap1gdhuYOFrZOkAgSeD3U","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":3,"sequence_number":46}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 53
  payload length: 51
  payload: 0xa25a915e5294989c0a5a7e0eba92b3187236f2602b5e7045336ad19d19e015e1591a129ae5546190168a51fa600d48f35a0000
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.function_call_arguments.delta","delta":"{\"command\":\"traceable-reqs check\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441","obfuscation":"iPJXIuTUjBx0fU","output_index":3,"sequence_number":47}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.done duration_ms=2 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.done duration_ms=2 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_item.done","item":{"id":"fc_034b05ed44886ef7016a24e14c0978819bb92c935b810227f5","type":"function_call","status":"completed","arguments":"{\"command\":\"cargo fmt\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","call_id":"call_IFzmbf0qr4ZlEiTra2q8AMg2","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":1,"sequence_number":41}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.added duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.added duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_item.added","item":{"id":"fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2","type":"function_call","status":"in_progress","arguments":"","call_id":"call_ERnvWX87ZSEw07CtS0NLAOSN","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":2,"sequence_number":42}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.delta duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.delta duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.function_call_arguments.delta","delta":"{\"command\":\"cargo test -p spt-daemon applyhost::tests -q\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2","obfuscation":"J3hFSq","output_index":2,"sequence_number":43}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.done duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.done duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.function_call_arguments.done","arguments":"{\"command\":\"cargo test -p spt-daemon applyhost::tests -q\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2","output_index":2,"sequence_number":44}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.done duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.done duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.081Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_item.done","item":{"id":"fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2","type":"function_call","status":"completed","arguments":"{\"command\":\"cargo test -p spt-daemon applyhost::tests -q\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","call_id":"call_ERnvWX87ZSEw07CtS0NLAOSN","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":2,"sequence_number":45}


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_item.added","item":{"id":"fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441","type":"function_call","status":"in_progress","arguments":"","call_id":"call_oCEap1gdhuYOFrZOkAgSeD3U","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":3,"sequence_number":46}


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.function_call_arguments.delta","delta":"{\"command\":\"traceable-reqs check\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441","obfuscation":"iPJXIuTUjBx0fU","output_index":3,"sequence_number":47}


level: INFO
target: codex_core::stream_events_utils
module_path: codex_core::stream_events_utils
file: core\src\stream_events_utils.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done: ToolCall: shell_command {"command":"cargo fmt","workdir":"C:\\Users\\decid\\Documents\\projects\\spt-core","timeout_ms":120000} thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b


level: DEBUG
target: codex_core::stream_events_utils
module_path: codex_core::stream_events_utils
file: core\src\stream_events_utils.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}: Output item item=FunctionCall { id: Some("fc_034b05ed44886ef7016a24e14c0ae0819b96d831deab2807d2"), name: "shell_command", namespace: None, arguments: "", call_id: "call_ERnvWX87ZSEw07CtS0NLAOSN" }


level: INFO
target: codex_core::stream_events_utils
module_path: codex_core::stream_events_utils
file: core\src\stream_events_utils.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done: ToolCall: shell_command {"command":"cargo test -p spt-daemon applyhost::tests -q","workdir":"C:\\Users\\decid\\Documents\\projects\\spt-core","timeout_ms":120000} thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b


level: DEBUG
target: codex_core::stream_events_utils
module_path: codex_core::stream_events_utils
file: core\src\stream_events_utils.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}: Output item item=FunctionCall { id: Some("fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441"), name: "shell_command", namespace: None, arguments: "", call_id: "call_oCEap1gdhuYOFrZOkAgSeD3U" }


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_IFzmbf0qr4ZlEiTra2q8AMg2" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_decision" tool_name=shell_command call_id=call_IFzmbf0qr4ZlEiTra2q8AMg2 decision=approved source=Config event.timestamp=2026-06-07T03:11:08.090Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_core::spawn
module_path: codex_core::spawn
file: core\src\spawn.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_IFzmbf0qr4ZlEiTra2q8AMg2" aborted=false}:dispatch_tool_call_with_terminal_outcome: spawn_child_async: "C:\\Program Files\\PowerShell\\7\\pwsh.exe" ["-Command", "try { [Console]::OutputEncoding=[System.Text.Encoding]::UTF8 } catch {}\ncargo fmt"] None AbsolutePathBuf("C:\\Users\\decid\\Documents\\projects\\spt-core") Enabled RedirectForShellTool {"APPDATA": "C:\\Users\\decid\\AppData\\Roaming", "ComSpec": "C:\\WINDOWS\\system32\\cmd.exe", "LIVE": "C:/Users/decid/.claude/plugins/cache/cplugs/spt/1.9.7/owl.exe live", "TMP": "C:\\Users\\decid\\AppData\\Local\\Temp", "ProgramW6432": "C:\\Program Files", "USERDOMAIN": "HFENDULEAM", "LOCALAPPDATA": "C:\\Users\\decid\\AppData\\Local", "USERPROFILE": "C:\\Users\\decid", "OWL": "C:/Users/decid/.claude/plugins/cache/cplugs/spt/1.9.7/owl.exe", "ProgramData": "C:\\ProgramData", "PATHEXT": ".COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC;.PY;.PYW;.CPL", "SystemDrive": "C:", "ProgramFiles": "C:\\Program Files", "ProgramFiles(x86)": "C:\\Program Files (x86)", "USERNAME": "decid", "TEMP": "C:\\Users\\decid\\AppData\\Local\\Temp", "HOMEDRIVE": "C:", "PATH": "C:\\Users\\decid\\.codex\\tmp\\arg0\\codex-arg0JyzhAZ;C:\\Users\\decid\\AppData\\Local\\nvm\\v25.8.2\\node_modules\\@openai\\codex\\node_modules\\@openai\\codex-win32-x64\\vendor\\x86_64-pc-windows-msvc\\codex-path;C:\\Program Files\\PowerShell\\7;C:\\Program Files\\Eclipse Adoptium\\jdk-17.0.19.10-hotspot\\bin;C:\\Program Files\\PlasticSCM5\\server;C:\\Program Files\\PlasticSCM5\\client;c:\\program files\\python312\\scripts\\;c:\\program files\\python312\\;c:\\program files\\eclipse adoptium\\jre-8.0.392.8-hotspot\\bin;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\system32\\windowspowershell\\v1.0\\;C:\\WINDOWS\\system32\\openssh\\;c:\\program files\\putty\\;c:\\program files\\microsoft vs code\\bin;c:\\program files\\dotnet\\;c:\\programdata\\chocolatey\\bin;c:\\program files\\git\\cmd;C:\\Program Files\\Microsoft VS Code\\bin;C:\\Program Files\\NVIDIA Corporation\\NVIDIA app\\NvDLISR;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\USBip;C:\\Program Files\\PowerToys\\DSCModules\\;C:\\Program Files\\PowerShell\\7\\;C:\\Users\\decid\\AppData\\Local\\nvm;C:\\nvm4w\\nodejs;C:\\Program Files\\GitHub CLI\\;C:\\Users\\decid\\.local\\bin;C:\\dev\\flutter\\bin;C:\\Program Files\\Tailscale\\;C:\\Users\\decid\\AppData\\Roaming\\Python\\Python310\\Scripts;:\\Users\\decid\\AppData\\Roaming\\Python\\Python312\\Scripts;C:\\Program Files\\CMake\\bin;C:\\Program Files\\Arduino CLI\\;C:\\Users\\decid\\AppData\\Local\\Programs\\traceable-reqs;C:\\Users\\decid\\.cargo\\bin;C:\\Users\\decid\\scoop\\apps\\mpv\\current;C:\\Users\\decid\\scoop\\shims;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\decid\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\decid\\.dotnet\\tools;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\decid\\AppData\\Local\\nvm;C:\\nvm4w\\nodejs;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WinGet\\Links;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WinGet\\Packages\\ggml.llamacpp_Microsoft.Winget.Source_8wekyb3d8bbwe;C:\\Users\\decid\\.fly\\bin;C:\\Users\\decid\\AppData\\Local\\spt-core\\bin", "CODEX_THREAD_ID": "019e9f0b-9722-7d70-bfb6-7df028e4589b", "SystemRoot": "C:\\WINDOWS", "HOMEPATH": "\\Users\\decid"}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_ERnvWX87ZSEw07CtS0NLAOSN" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_decision" tool_name=shell_command call_id=call_ERnvWX87ZSEw07CtS0NLAOSN decision=approved source=Config event.timestamp=2026-06-07T03:11:08.098Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_core::spawn
module_path: codex_core::spawn
file: core\src\spawn.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_ERnvWX87ZSEw07CtS0NLAOSN" aborted=false}:dispatch_tool_call_with_terminal_outcome: spawn_child_async: "C:\\Program Files\\PowerShell\\7\\pwsh.exe" ["-Command", "try { [Console]::OutputEncoding=[System.Text.Encoding]::UTF8 } catch {}\ncargo test -p spt-daemon applyhost::tests -q"] None AbsolutePathBuf("C:\\Users\\decid\\Documents\\projects\\spt-core") Enabled RedirectForShellTool {"ComSpec": "C:\\WINDOWS\\system32\\cmd.exe", "OWL": "C:/Users/decid/.claude/plugins/cache/cplugs/spt/1.9.7/owl.exe", "LIVE": "C:/Users/decid/.claude/plugins/cache/cplugs/spt/1.9.7/owl.exe live", "HOMEPATH": "\\Users\\decid", "ProgramData": "C:\\ProgramData", "ProgramFiles": "C:\\Program Files", "PATH": "C:\\Users\\decid\\.codex\\tmp\\arg0\\codex-arg0JyzhAZ;C:\\Users\\decid\\AppData\\Local\\nvm\\v25.8.2\\node_modules\\@openai\\codex\\node_modules\\@openai\\codex-win32-x64\\vendor\\x86_64-pc-windows-msvc\\codex-path;C:\\Program Files\\PowerShell\\7;C:\\Program Files\\Eclipse Adoptium\\jdk-17.0.19.10-hotspot\\bin;C:\\Program Files\\PlasticSCM5\\server;C:\\Program Files\\PlasticSCM5\\client;c:\\program files\\python312\\scripts\\;c:\\program files\\python312\\;c:\\program files\\eclipse adoptium\\jre-8.0.392.8-hotspot\\bin;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\system32\\windowspowershell\\v1.0\\;C:\\WINDOWS\\system32\\openssh\\;c:\\program files\\putty\\;c:\\program files\\microsoft vs code\\bin;c:\\program files\\dotnet\\;c:\\programdata\\chocolatey\\bin;c:\\program files\\git\\cmd;C:\\Program Files\\Microsoft VS Code\\bin;C:\\Program Files\\NVIDIA Corporation\\NVIDIA app\\NvDLISR;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\USBip;C:\\Program Files\\PowerToys\\DSCModules\\;C:\\Program Files\\PowerShell\\7\\;C:\\Users\\decid\\AppData\\Local\\nvm;C:\\nvm4w\\nodejs;C:\\Program Files\\GitHub CLI\\;C:\\Users\\decid\\.local\\bin;C:\\dev\\flutter\\bin;C:\\Program Files\\Tailscale\\;C:\\Users\\decid\\AppData\\Roaming\\Python\\Python310\\Scripts;:\\Users\\decid\\AppData\\Roaming\\Python\\Python312\\Scripts;C:\\Program Files\\CMake\\bin;C:\\Program Files\\Arduino CLI\\;C:\\Users\\decid\\AppData\\Local\\Programs\\traceable-reqs;C:\\Users\\decid\\.cargo\\bin;C:\\Users\\decid\\scoop\\apps\\mpv\\current;C:\\Users\\decid\\scoop\\shims;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\decid\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\decid\\.dotnet\\tools;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\decid\\AppData\\Local\\nvm;C:\\nvm4w\\nodejs;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WinGet\\Links;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WinGet\\Packages\\ggml.llamacpp_Microsoft.Winget.Source_8wekyb3d8bbwe;C:\\Users\\decid\\.fly\\bin;C:\\Users\\decid\\AppData\\Local\\spt-core\\bin", "ProgramW6432": "C:\\Program Files", "TMP": "C:\\Users\\decid\\AppData\\Local\\Temp", "USERNAME": "decid", "USERPROFILE": "C:\\Users\\decid", "CODEX_THREAD_ID": "019e9f0b-9722-7d70-bfb6-7df028e4589b", "PATHEXT": ".COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC;.PY;.PYW;.CPL", "SystemRoot": "C:\\WINDOWS", "LOCALAPPDATA": "C:\\Users\\decid\\AppData\\Local", "ProgramFiles(x86)": "C:\\Program Files (x86)", "TEMP": "C:\\Users\\decid\\AppData\\Local\\Temp", "APPDATA": "C:\\Users\\decid\\AppData\\Roaming", "USERDOMAIN": "HFENDULEAM", "HOMEDRIVE": "C:", "SystemDrive": "C:"}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 15
  payload length: 13
  payload: 0xa266113ea4c392706059d40200
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.function_call_arguments.done","arguments":"{\"command\":\"traceable-reqs check\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441","output_index":3,"sequence_number":48}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 21
  payload length: 19
  payload: 0xa27e514d6e0e26b2a81eb8181902a588652d00
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.output_item.done","item":{"id":"fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441","type":"function_call","status":"completed","arguments":"{\"command\":\"traceable-reqs check\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","call_id":"call_oCEap1gdhuYOFrZOkAgSeD3U","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":3,"sequence_number":49}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.done duration_ms=38 success="true" event.timestamp=2026-06-07T03:11:08.119Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.function_call_arguments.done duration_ms=38 success="true" event.timestamp=2026-06-07T03:11:08.119Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.function_call_arguments.done","arguments":"{\"command\":\"traceable-reqs check\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","item_id":"fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441","output_index":3,"sequence_number":48}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.done duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.119Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.output_item.done duration_ms=0 success="true" event.timestamp=2026-06-07T03:11:08.119Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.output_item.done","item":{"id":"fc_034b05ed44886ef7016a24e14c0aec819b838d900f31f30441","type":"function_call","status":"completed","arguments":"{\"command\":\"traceable-reqs check\",\"workdir\":\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\",\"timeout_ms\":120000}","call_id":"call_oCEap1gdhuYOFrZOkAgSeD3U","name":"shell_command","metadata":{"turn_id":"019e9fee-40b4-7e40-a809-dbdf1fb5c43f"}},"output_index":3,"sequence_number":49}


level: INFO
target: codex_core::stream_events_utils
module_path: codex_core::stream_events_utils
file: core\src\stream_events_utils.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done: ToolCall: shell_command {"command":"traceable-reqs check","workdir":"C:\\Users\\decid\\Documents\\projects\\spt-core","timeout_ms":120000} thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_oCEap1gdhuYOFrZOkAgSeD3U" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_decision" tool_name=shell_command call_id=call_oCEap1gdhuYOFrZOkAgSeD3U decision=approved source=Config event.timestamp=2026-06-07T03:11:08.129Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_core::spawn
module_path: codex_core::spawn
file: core\src\spawn.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_oCEap1gdhuYOFrZOkAgSeD3U" aborted=false}:dispatch_tool_call_with_terminal_outcome: spawn_child_async: "C:\\Program Files\\PowerShell\\7\\pwsh.exe" ["-Command", "try { [Console]::OutputEncoding=[System.Text.Encoding]::UTF8 } catch {}\ntraceable-reqs check"] None AbsolutePathBuf("C:\\Users\\decid\\Documents\\projects\\spt-core") Enabled RedirectForShellTool {"PATH": "C:\\Users\\decid\\.codex\\tmp\\arg0\\codex-arg0JyzhAZ;C:\\Users\\decid\\AppData\\Local\\nvm\\v25.8.2\\node_modules\\@openai\\codex\\node_modules\\@openai\\codex-win32-x64\\vendor\\x86_64-pc-windows-msvc\\codex-path;C:\\Program Files\\PowerShell\\7;C:\\Program Files\\Eclipse Adoptium\\jdk-17.0.19.10-hotspot\\bin;C:\\Program Files\\PlasticSCM5\\server;C:\\Program Files\\PlasticSCM5\\client;c:\\program files\\python312\\scripts\\;c:\\program files\\python312\\;c:\\program files\\eclipse adoptium\\jre-8.0.392.8-hotspot\\bin;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\system32\\windowspowershell\\v1.0\\;C:\\WINDOWS\\system32\\openssh\\;c:\\program files\\putty\\;c:\\program files\\microsoft vs code\\bin;c:\\program files\\dotnet\\;c:\\programdata\\chocolatey\\bin;c:\\program files\\git\\cmd;C:\\Program Files\\Microsoft VS Code\\bin;C:\\Program Files\\NVIDIA Corporation\\NVIDIA app\\NvDLISR;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\WINDOWS\\System32\\OpenSSH\\;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files (x86)\\Windows Kits\\10\\Windows Performance Toolkit\\;C:\\Program Files\\USBip;C:\\Program Files\\PowerToys\\DSCModules\\;C:\\Program Files\\PowerShell\\7\\;C:\\Users\\decid\\AppData\\Local\\nvm;C:\\nvm4w\\nodejs;C:\\Program Files\\GitHub CLI\\;C:\\Users\\decid\\.local\\bin;C:\\dev\\flutter\\bin;C:\\Program Files\\Tailscale\\;C:\\Users\\decid\\AppData\\Roaming\\Python\\Python310\\Scripts;:\\Users\\decid\\AppData\\Roaming\\Python\\Python312\\Scripts;C:\\Program Files\\CMake\\bin;C:\\Program Files\\Arduino CLI\\;C:\\Users\\decid\\AppData\\Local\\Programs\\traceable-reqs;C:\\Users\\decid\\.cargo\\bin;C:\\Users\\decid\\scoop\\apps\\mpv\\current;C:\\Users\\decid\\scoop\\shims;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\decid\\AppData\\Local\\GitHubDesktop\\bin;C:\\Users\\decid\\.dotnet\\tools;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WindowsApps;C:\\Users\\decid\\AppData\\Local\\nvm;C:\\nvm4w\\nodejs;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WinGet\\Links;C:\\Users\\decid\\AppData\\Local\\Microsoft\\WinGet\\Packages\\ggml.llamacpp_Microsoft.Winget.Source_8wekyb3d8bbwe;C:\\Users\\decid\\.fly\\bin;C:\\Users\\decid\\AppData\\Local\\spt-core\\bin", "PATHEXT": ".COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC;.PY;.PYW;.CPL", "USERDOMAIN": "HFENDULEAM", "ProgramW6432": "C:\\Program Files", "SystemDrive": "C:", "ComSpec": "C:\\WINDOWS\\system32\\cmd.exe", "TEMP": "C:\\Users\\decid\\AppData\\Local\\Temp", "SystemRoot": "C:\\WINDOWS", "USERPROFILE": "C:\\Users\\decid", "USERNAME": "decid", "TMP": "C:\\Users\\decid\\AppData\\Local\\Temp", "ProgramFiles": "C:\\Program Files", "APPDATA": "C:\\Users\\decid\\AppData\\Roaming", "LIVE": "C:/Users/decid/.claude/plugins/cache/cplugs/spt/1.9.7/owl.exe live", "LOCALAPPDATA": "C:\\Users\\decid\\AppData\\Local", "HOMEDRIVE": "C:", "HOMEPATH": "\\Users\\decid", "ProgramData": "C:\\ProgramData", "OWL": "C:/Users/decid/.claude/plugins/cache/cplugs/spt/1.9.7/owl.exe", "CODEX_THREAD_ID": "019e9f0b-9722-7d70-bfb6-7df028e4589b", "ProgramFiles(x86)": "C:\\Program Files (x86)"}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 11391
  payload length: 11387
  payload: [encoded data, 22776 characters]
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Received message {"type":"response.completed","response":{"id":"resp_034b05ed44886ef7016a24e1441a08819b8340a0ffcb0f548d","object":"response","created_at":1780801860,"status":"completed","background":false,"completed_at":1780801868,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":"You are Codex, a coding agent based on GPT-5. You and the user share one workspace, and your job is to collaborate with them until their goal is genuinely handled.\n\n# Personality\n\nYou are a deeply pragmatic, effective software engineer. You take engineering quality seriously, and collaboration comes through as direct, factual statements. You communicate efficiently, keeping the user clearly informed about ongoing actions without unnecessary detail.\n\n## Values\nYou are guided by these core values:\n- Clarity: You communicate reasoning explicitly and concretely, so decisions and tradeoffs are easy to evaluate upfront.\n- Pragmatism: You keep the end goal and momentum in mind, focusing on what will actually work and move things forward to achieve the user's goal.\n- Rigor: You expect technical arguments to be coherent and defensible, and you surface gaps or weak assumptions politely with emphasis on creating clarity and moving the task forward.\n\n## Interaction Style\nYou communicate respectfully, focusing on the task at hand. You always prioritize actionable guidance, clearly stating assumptions, environment prerequisites, and next steps.\n\nYou avoid cheerleading, motivational language, artificial reassurance, and general fluffiness. You don't comment on user requests, positively or negatively, unless there is reason for escalation.\n\n## Escalation\nYou may challenge the user to raise their technical bar, but you never patronize or dismiss their concerns. When presenting an alternative approach or solution to the user, you explain the reasoning behind the approach, so your thoughts are demonstrably correct. You maintain a pragmatic mindset when discussing these tradeoffs, and so are willing to work with the user after concerns have been noted.\n\n\n# General\nYou bring a senior engineer’s judgment to the work, but you let it arrive through attention rather than premature certainty. You read the codebase first, resist easy assumptions, and let the shape of the existing system teach you how to move.\n\n- When you search for text or files, you reach first for `rg` or `rg --files`; they are much faster than alternatives like `grep`. If `rg` is unavailable, you use the next best tool without fuss.\n- You parallelize tool calls whenever you can, especially file reads such as `cat`, `rg`, `sed`, `ls`, `git show`, `nl`, and `wc`. You use `multi_tool_use.parallel` for that parallelism, and only that. Do not chain shell commands with separators like `echo \"====\";`; the output becomes noisy in a way that makes the user’s side of the conversation worse.\n\n## Engineering judgment\n\nWhen the user leaves implementation details open, you choose conservatively and in sympathy with the codebase already in front of you:\n\n- You prefer the repo’s existing patterns, frameworks, and local helper APIs over inventing a new style of abstraction.\n- For structured data, you use structured APIs or parsers instead of ad hoc string manipulation whenever the codebase or standard toolchain gives you a reasonable option.\n- You keep edits closely scoped to the modules, ownership boundaries, and behavioral surface implied by the request and surrounding code. You leave unrelated refactors and metadata churn alone unless they are truly needed to finish safely.\n- You add an abstraction only when it removes real complexity, reduces meaningful duplication, or clearly matches an established local pattern.\n- You let test coverage scale with risk and blast radius: you keep it focused for narrow changes, and you broaden it when the implementation touches shared behavior, cross-module contracts, or user-facing workflows.\n\n## Frontend guidance\n\nYou follow these instructions when building applications with a frontend experience:\n\n### Build with empathy\n- Match the app's domain, audience, and existing design system. Make common workflows complete, efficient, and natural.\n- Operational tools should be restrained, dense, and scannable. Games and playful apps can be expressive, animated, and illustrative.\n\n### Design instructions\n- Build the usable app, site, game, or tool as the first screen. Do not default to a marketing page unless a landing page is actually requested.\n- Use familiar controls: icons for tools, swatches for colors, segmented controls for modes, toggles/checkboxes for booleans, sliders/steppers/inputs for numbers, menus for choices, tabs for views, and text or icon+text buttons only for clear commands.\n- Prefer lucide or the existing icon set over custom SVG. Icon-only and unfamiliar controls need tooltips. Use symbols instead of text buttons for common actions like undo, redo, bold, italic, save, download, and zoom.\n- Build expected controls, states, empty/loading/error handling, and views. Do not add visible instructional copy explaining basic UI, shortcuts, styling, or feature descriptions.\n- Cards: radius 8px or less unless the design system differs; no nested cards; do not make whole sections floating cards. Use cards only for repeated items, modals, or framed tools.\n- Prevent overlap, clipping, and layout shift on mobile and desktop. Text must fit its parent; wrap first, then resize only when needed. Use stable responsive constraints such as aspect-ratio, grid tracks, min/max, or container-relative sizing for boards, grids, tiles, counters, toolbars, and icon buttons.\n- Use hero-scale text only for real heroes, and keep hero copy compact enough that the first viewport still hints at the next section. Keep panels, dashboards, cards, and sidebars tighter. Do not scale font size with viewport width. Letter spacing is 0, never negative.\n- Page sections should be full-width bands or unframed constrained layouts.\n- Websites need semantically exact real or generated bitmap imagery for products, food, places, people, portfolio objects, hero media, and other inspectable subjects. Do not use adjacent-category images, abstract illustrations, CSS-only drawings, gradients, or large inline SVGs as primary visuals. SVG is fine for icons, simple diagrams, logos, and game/vector assets where it is the right medium.\n- Games and highly specific interactive scenes may use domain-specific SVG, canvas, Three.js, or other code-native assets. Still avoid dark, blurred, cropped, stock-like, or purely atmospheric media when the user must inspect the product, place, person, object, state, or gameplay.\n- Hero pages use a relevant image or full-bleed interactive scene as the background with text over it, not in a card. Avoid split text/media heroes, gradient/SVG-only heroes, and SVG illustrations when real/generated imagery fits better.\n- Branded/product/place/portfolio/object pages must show the subject clearly in the first viewport, not only in nav text or an eyebrow. Landing-page H1s should be the brand/product/place/person name or literal offer/category; value props go in supporting copy.\n- Avoid decorative orbs, bokeh blobs, and one-hue palettes, especially purple gradients, beige/tan, dark blue/slate, and brown/orange themes. Scan CSS colors before finishing.\n- Use proven libraries for established game rules, physics, parsing, engines, or AI unless the user asks for from-scratch logic.\n- Use Three.js for 3D. The main 3D scene should be full-bleed or unframed, not inside a decorative preview card. Verify with Playwright screenshots and canvas-pixel checks on desktop and mobile that it is nonblank, framed correctly, interactive/moving as intended, and not overlapping.\n\nIf a dev server is needed, start it and give the URL; choose another port if occupied. If plain HTML works, give the local HTML path.\n\n## Editing constraints\n\n- You default to ASCII when editing or creating files. You introduce non-ASCII or other Unicode characters only when there is a clear reason and the file already lives in that character set.\n- You add succinct code comments only where the code is not self-explanatory. You avoid empty narration like \"Assigns the value to the variable\", but you do leave a short orienting comment before a complex block if it would save the user from tedious parsing. You use that tool sparingly.\n- Use `apply_patch` for manual code edits. Do not create or edit files with `cat` or other shell write tricks. Formatting commands and bulk mechanical rewrites do not need `apply_patch`.\n- Do not use Python to read or write files when a simple shell command or `apply_patch` is enough.\n- You may be in a dirty git worktree.\n  * NEVER revert existing changes you did not make unless explicitly requested, since these changes were made by the user.\n  * If asked to make a commit or code edits and there are unrelated changes to your work or changes that you didn't make in those files, you don't revert those changes.\n  * If the changes are in files you've touched recently, you read carefully and understand how you can work with the changes rather than reverting them.\n  * If the changes are in unrelated files, you just ignore them and don't revert them.\n- While working, you may encounter changes you did not make. You assume they came from the user or from generated output, and you do NOT revert them. If they are unrelated to your task, you ignore them. If they affect your task, you work **with** them instead of undoing them. Only ask the user how to proceed if those changes make the task impossible to complete.\n- Never use destructive commands like `git reset --hard` or `git checkout --` unless the user has clearly asked for that operation. If the request is ambiguous, ask for approval first.\n- You are clumsy in the git interactive console. Prefer non-interactive git commands whenever you can.\n\n## Special user requests\n\n- If the user makes a simple request that can be answered directly by a terminal command, such as asking for the time via `date`, you go ahead and do that.\n- If the user asks for a \"review\", you default to a code-review stance: you prioritize bugs, risks, behavioral regressions, and missing tests. Findings should lead the response, with summaries kept brief and placed only after the issues are listed. Present findings first, ordered by severity and grounded in file/line references; then add open questions or assumptions; then include a change summary as secondary context. If you find no issues, you say that clearly and mention any remaining test gaps or residual risk.\n\n## Autonomy and persistence\nYou stay with the work until the task is handled end to end within the current turn whenever that is feasible. Do not stop at analysis or half-finished fixes. Do not end your turn while `exec_command` sessions needed for the user’s request are still running. You carry the work through implementation, verification, and a clear account of the outcome unless the user explicitly pauses or redirects you.\n\nUnless the user explicitly asks for a plan, asks a question about the code, is brainstorming possible approaches, or otherwise makes clear that they do not want code changes yet, you assume they want you to make the change or run the tools needed to solve the problem. In those cases, do not stop at a proposal; implement the fix. If you hit a blocker, you try to work through it yourself before handing the problem back.\n\n# Working with the user\n\nYou have two channels for staying in conversation with the user:\n- You share updates in `commentary` channel.\n- After you have completed all of your work, you send a message to the `final` channel.\n\nThe user may send messages while you are working. If those messages conflict, you let the newest one steer the current turn. If they do not conflict, you make sure your work and final answer honor every user request since your last turn. This matters especially after long-running resumes or context compaction. If the newest message asks for status, you give that update and then keep moving unless the user explicitly asks you to pause, stop, or only report status.\n\nBefore sending a final response after a resume, interruption, or context transition, you do a quick sanity check: you make sure your final answer and tool actions are answering the newest request, not an older ghost still lingering in the thread.\n\nWhen you run out of context, the tool automatically compacts the conversation. That means time never runs out, though sometimes you may see a summary instead of the full thread. When that happens, you assume compaction occurred while you were working. Do not restart from scratch; you continue naturally and make reasonable assumptions about anything missing from the summary.\n\n## Formatting rules\n\nYou are writing plain text that will later be styled by the program you run in. Let formatting make the answer easy to scan without turning it into something stiff or mechanical. Use judgment about how much structure actually helps, and follow these rules exactly.\n\n- You may format with GitHub-flavored Markdown.\n- You add structure only when the task calls for it. You let the shape of the answer match the shape of the problem; if the task is tiny, a one-liner may be enough. Otherwise, you prefer short paragraphs by default; they leave a little air in the page. You order sections from general to specific to supporting detail.\n- Avoid nested bullets unless the user explicitly asks for them. Keep lists flat. If you need hierarchy, split content into separate lists or sections, or place the detail on the next line after a colon instead of nesting it. For numbered lists, use only the `1. 2. 3.` style, never `1)`. This does not apply to generated artifacts such as PR descriptions, release notes, changelogs, or user-requested docs; preserve those native formats when needed.\n- Headers are optional; you use them only when they genuinely help. If you do use one, make it short Title Case (1-3 words), wrap it in **…**, and do not add a blank line.\n- You use monospace commands/paths/env vars/code ids, inline examples, and literal keyword bullets by wrapping them in backticks.\n- Code samples or multi-line snippets should be wrapped in fenced code blocks. Include an info string as often as possible.\n- When referencing a real local file, prefer a clickable markdown link.\n  * Clickable file links should look like [app.py](/abs/path/app.py:12): plain label, absolute target, with optional line number inside the target.\n  * If a file path has spaces, wrap the target in angle brackets: [My Report.md](</abs/path/My Project/My Report.md:3>).\n  * Do not wrap markdown links in backticks, or put backticks inside the label or target. This confuses the markdown renderer.\n  * Do not use URIs like file://, vscode://, or https:// for file links.\n  * Do not provide ranges of lines.\n  * Avoid repeating the same filename multiple times when one grouping is clearer.\n- Don’t use emojis or em dashes unless explicitly instructed.\n\n## Final answer instructions\n\nIn your final answer, you keep the light on the things that matter most. Avoid long-winded explanation. In casual conversation, you just talk like a person. For simple or single-file tasks, you prefer one or two short paragraphs plus an optional verification line. Do not default to bullets. When there are only one or two concrete changes, a clean prose close-out is usually the most humane shape.\n\n- You suggest follow ups if useful and they build on the users request, but never end your answer with an \"If you want\" sentence.\n- When you talk about your work, you use plain, idiomatic engineering prose with some life in it. You avoid coined metaphors, internal jargon, slash-heavy noun stacks, and over-hyphenated compounds unless you are quoting source text. In particular, do not lean on words like \"seam\", \"cut\", or \"safe-cut\" as generic explanatory filler.\n- The user does not see command execution outputs. When asked to show the output of a command (e.g. `git show`), relay the important details in your answer or summarize the key lines so the user understands the result.\n- Never tell the user to \"save/copy this file\", the user is on the same machine and has access to the same files as you have.\n- If the user asks for a code explanation, you include code references as appropriate.\n- If you weren't able to do something, for example run tests, you tell the user.\n- Never overwhelm the user with answers that are over 50-70 lines long; provide the highest-signal context instead of describing everything exhaustively.\n- Tone of your final answer must match your personality.\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query.\n\n## Intermediary updates\n\n- Intermediary updates go to the `commentary` channel.\n- User updates are short updates while you are working, they are NOT final answers.\n- You treat messages to the user while you are working as a place to think out loud in a calm, companionable way. You casually explain what you are doing and why in one or two sentences.\n- Never praise your plan by contrasting it with an implied worse alternative. For example, never use platitudes like \"I will do <this good thing> rather than <this obviously bad thing>\", \"I will do <X>, not <Y>\".\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query.\n- You provide user updates frequently, every 30s.\n- When exploring, such as searching or reading files, you provide user updates as you go. You explain what context you are gathering and what you are learning. You vary your sentence structure so the updates do not fall into a drumbeat, and in particular you do not start each one the same way.\n- When working for a while, you keep updates informative and varied, but you stay concise.\n- Once you have enough context, and if the work is substantial, you offer a longer plan. This is the only user update that may run past two sentences and include formatting.\n- If you create a checklist or task list, you update item statuses incrementally as each item is completed rather than marking every item done only at the end.\n- Before performing file edits of any kind, you provide updates explaining what edits you are making.\n- Tone of your updates must match your personality.\n","max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5.5","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":"resp_034b05ed44886ef7016a24e1375330819bab7eca7cdc46fbd3","prompt_cache_key":"019e9f0b-9722-7d70-bfb6-7df028e4589b","prompt_cache_retention":"24h","reasoning":{"context":"current_turn","effort":"high","summary":null},"safety_identifier":"user-NOGNRCJD3z6lCqoOifga0Kmq","service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"low"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Runs a Powershell command (Windows) and returns its output.\n\nExamples of valid command strings:\n\n- ls -a (show hidden): \"Get-ChildItem -Force\"\n- recursive find by name: \"Get-ChildItem -Recurse -Filter *.py\"\n- recursive grep: \"Get-ChildItem -Path C:\\\\myrepo -Recurse | Select-String -Pattern 'TODO' -CaseSensitive\"\n- ps aux | grep python: \"Get-Process | Where-Object { $_.ProcessName -like '*python*' }\"\n- setting an env var: \"$env:FOO='bar'; echo $env:FOO\"\n- running an inline Python script: \"@'\\\\nprint('Hello, world!')\\\\n'@ | python -\"\n\nWindows safety rules:\n- Do not compose destructive filesystem commands across shells. Do not enumerate paths in PowerShell and then pass them to `cmd /c`, batch builtins, or another shell for deletion or moving. Use one shell end-to-end, prefer native PowerShell cmdlets such as `Remove-Item` / `Move-Item` with `-LiteralPath`, and avoid string-built shell commands for file operations.\n- Before any recursive delete or move on Windows, verify the resolved absolute target paths stay within the intended workspace or explicitly named target directory. Never issue a recursive delete or move against a computed path if the final target has not been checked.\n- When using `Start-Process` to launch a background helper or service, pass `-WindowStyle Hidden` unless the user explicitly asked for a visible interactive window. Use visible windows only for interactive tools the user needs to see or control.","name":"shell_command","parameters":{"type":"object","properties":{"command":{"type":"string","description":"Shell script to run in the user's default shell."},"justification":{"type":"string","description":"User-facing approval question for `require_escalated`; omit otherwise."},"login":{"type":"boolean","description":"True runs with login shell semantics; false disables them. Defaults to true."},"prefix_rule":{"type":"array","description":"Reusable approval prefix for `cmd`, only with `sandbox_permissions: \"require_escalated\"`; for example [\"git\", \"pull\"].","items":{"type":"string"}},"sandbox_permissions":{"type":"string","description":"Per-command sandbox override. Defaults to `use_default`; use `require_escalated` for unsandboxed execution.","enum":["use_default","require_escalated"]},"timeout_ms":{"type":"number","description":"Maximum command runtime. Defaults to 10000 ms."},"workdir":{"type":"string","description":"Working directory for the command. Defaults to the turn cwd."}},"required":["command"],"additionalProperties":false},"strict":false},{"type":"function","description":"Lists resources provided by MCP servers. Resources allow servers to share data that provides context to language models, such as files, database schemas, or application-specific information. Prefer resources over web search when possible.","name":"list_mcp_resources","parameters":{"type":"object","properties":{"cursor":{"type":"string","description":"Opaque cursor from a previous list_mcp_resources call; omit for the first page."},"server":{"type":"string","description":"MCP server name. Omit to list resources from every configured server."}},"additionalProperties":false},"strict":false},{"type":"function","description":"Lists resource templates provided by MCP servers. Parameterized resource templates allow servers to share data that takes parameters and provides context to language models, such as files, database schemas, or application-specific information. Prefer resource templates over web search when possible.","name":"list_mcp_resource_templates","parameters":{"type":"object","properties":{"cursor":{"type":"string","description":"Opaque cursor from a previous list_mcp_resource_templates call; omit for the first page."},"server":{"type":"string","description":"MCP server name. Omit to list resource templates from every configured server."}},"additionalProperties":false},"strict":false},{"type":"function","description":"Read a specific resource from an MCP server given the server name and resource URI.","name":"read_mcp_resource","parameters":{"type":"object","properties":{"server":{"type":"string","description":"MCP server name exactly as configured. Must match the 'server' field returned by list_mcp_resources."},"uri":{"type":"string","description":"Resource URI to read. Must be one of the URIs returned by list_mcp_resources."}},"required":["server","uri"],"additionalProperties":false},"strict":false},{"type":"function","description":"Updates the task plan.\nProvide an optional explanation and a list of plan items, each with a step and status.\nAt most one step can be in_progress at a time.\n","name":"update_plan","parameters":{"type":"object","properties":{"explanation":{"type":"string","description":"Optional explanation for this plan update."},"plan":{"type":"array","description":"The list of steps","items":{"type":"object","properties":{"status":{"type":"string","description":"Step status.","enum":["pending","in_progress","completed"]},"step":{"type":"string","description":"Task step text."}},"required":["step","status"],"additionalProperties":false}}},"required":["plan"],"additionalProperties":false},"strict":false},{"type":"function","description":"Get the current goal for this thread, including status, budgets, token and elapsed-time usage, and remaining token budget.","name":"get_goal","parameters":{"type":"object","properties":{},"required":[],"additionalProperties":false},"strict":false},{"type":"function","description":"Create a goal only when explicitly requested by the user or system/developer instructions; do not infer goals from ordinary tasks.\nSet token_budget only when an explicit token budget is requested. Fails if a goal exists; use update_goal only for status.","name":"create_goal","parameters":{"type":"object","properties":{"objective":{"type":"string","description":"Required. The concrete objective to start pursuing. This starts a new active goal only when no goal is currently defined; if a goal already exists, this tool fails."},"token_budget":{"type":"integer","description":"Positive token budget for the new goal. Omit unless explicitly requested."}},"required":["objective"],"additionalProperties":false},"strict":false},{"type":"function","description":"Update the existing goal.\nUse this tool only to mark the goal achieved or genuinely blocked.\nSet status to `complete` only when the objective has actually been achieved and no required work remains.\nSet status to `blocked` only when the same blocking condition has repeated for at least three consecutive goal turns, counting the original/user-triggered turn and any automatic continuations, and the agent cannot make meaningful progress without user input or an external-state change.\nIf the user resumes a goal that was previously marked `blocked`, treat the resumed run as a fresh blocked audit. If the same blocking condition then repeats for at least three consecutive resumed goal turns, set status to `blocked` again.\nOnce the blocked threshold is satisfied, do not keep reporting that you are still blocked while leaving the goal active; set status to `blocked`.\nDo not use `blocked` merely because the work is hard, slow, uncertain, incomplete, or would benefit from clarification.\nDo not mark a goal complete merely because its budget is nearly exhausted or because you are stopping work.\nYou cannot use this tool to pause, resume, budget-limit, or usage-limit a goal; those status changes are controlled by the user or system.\nWhen marking a budgeted goal achieved with status `complete`, report the final token usage from the tool result to the user.","name":"update_goal","parameters":{"type":"object","properties":{"status":{"type":"string","description":"Required. Set to `complete` only when the objective is achieved and no required work remains. Set to `blocked` only after the same blocking condition has recurred for at least three consecutive goal turns and the agent is at an impasse. After a previously blocked goal is resumed, the resumed run starts a fresh blocked audit.","enum":["complete","blocked"]}},"required":["status"],"additionalProperties":false},"strict":false},{"type":"function","description":"Request user input for one to three short questions and wait for the response. This tool is only available in Plan mode.","name":"request_user_input","parameters":{"type":"object","properties":{"questions":{"type":"array","description":"Questions to show the user. Prefer 1 and do not exceed 3","items":{"type":"object","properties":{"header":{"type":"string","description":"Short header label shown in the UI (12 or fewer chars)."},"id":{"type":"string","description":"Stable identifier for mapping answers (snake_case)."},"options":{"type":"array","description":"Provide 2-3 mutually exclusive choices. Put the recommended option first and suffix its label with \"(Recommended)\". Do not include an \"Other\" option in this list; the client will add a free-form \"Other\" option automatically.","items":{"type":"object","properties":{"description":{"type":"string","description":"One short sentence explaining impact/tradeoff if selected."},"label":{"type":"string","description":"User-facing label (1-5 words)."}},"required":["label","description"],"additionalProperties":false}},"question":{"type":"string","description":"Single-sentence prompt shown to the user."}},"required":["id","header","question","options"],"additionalProperties":false}}},"required":["questions"],"additionalProperties":false},"strict":false},{"type":"function","description":"View a local image file from the filesystem when visual inspection is needed. Use this for images already available on disk.","name":"view_image","parameters":{"type":"object","properties":{"detail":{"type":"string","description":"Image detail level. Defaults to `high`; use `original` to preserve exact resolution.","enum":["high","original"]},"path":{"type":"string","description":"Local filesystem path to an image file."}},"required":["path"],"additionalProperties":false},"strict":false},{"type":"web_search","return_token_budget":"default","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}},{"type":"image_generation","background":"auto","model":"gpt-image-2-codex","moderation":"auto","n":1,"output_compression":100,"output_format":"png","quality":"auto","size":"auto"},{"type":"custom","description":"Use the `apply_patch` tool to edit files. This is a FREEFORM tool, so do not wrap the patch in JSON.","format":{"type":"grammar","definition":"start: begin_patch hunk+ end_patch\r\nbegin_patch: \"*** Begin Patch\" LF\r\nend_patch: \"*** End Patch\" LF?\r\n\r\nhunk: add_hunk | delete_hunk | update_hunk\r\nadd_hunk: \"*** Add File: \" filename LF add_line+\r\ndelete_hunk: \"*** Delete File: \" filename LF\r\nupdate_hunk: \"*** Update File: \" filename LF change_move? change?\r\n\r\nfilename: /(.+)/\r\nadd_line: \"+\" /(.*)/ LF -> line\r\n\r\nchange_move: \"*** Move to: \" filename LF\r\nchange: (change_context | change_line)+ eof_line?\r\nchange_context: (\"@@\" | \"@@ \" /(.+)/) LF\r\nchange_line: (\"+\" | \"-\" | \" \") /(.*)/ LF\r\neof_line: \"*** End of File\" LF\r\n\r\n%import common.LF\r\n","syntax":"lark"},"name":"apply_patch"},{"type":"tool_search","description":"# Tool discovery\n\nSearches over deferred tool metadata with BM25 and exposes matching tools for the next model call.\n\nYou have access to tools from the following sources:\n- Multi-agent tools: Spawn and manage sub-agents.\nSome of the tools may not have been provided to you upfront, and you should use this tool (`tool_search`) to search for the required tools. For MCP tool discovery, always use `tool_search` instead of `list_mcp_resources` or `list_mcp_resource_templates`.","execution":"client","parameters":{"type":"object","properties":{"limit":{"type":"number","description":"Maximum number of tools to return. Defaults to 8."},"query":{"type":"string","description":"Search query for deferred tools."}},"required":["query"],"additionalProperties":false}}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":196793,"input_tokens_details":{"cached_tokens":195968},"output_tokens":191,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":196984},"user":null,"metadata":{}},"sequence_number":50}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.completed duration_ms=13 success="true" event.timestamp=2026-06-07T03:11:08.133Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: event.name="codex.websocket_event" event.kind=response.completed duration_ms=13 success="true" event.timestamp=2026-06-07T03:11:08.133Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket event: {"type":"response.completed","response":{"id":"resp_034b05ed44886ef7016a24e1441a08819b8340a0ffcb0f548d","object":"response","created_at":1780801860,"status":"completed","background":false,"completed_at":1780801868,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":"You are Codex, a coding agent based on GPT-5. You and the user share one workspace, and your job is to collaborate with them until their goal is genuinely handled.\n\n# Personality\n\nYou are a deeply pragmatic, effective software engineer. You take engineering quality seriously, and collaboration comes through as direct, factual statements. You communicate efficiently, keeping the user clearly informed about ongoing actions without unnecessary detail.\n\n## Values\nYou are guided by these core values:\n- Clarity: You communicate reasoning explicitly and concretely, so decisions and tradeoffs are easy to evaluate upfront.\n- Pragmatism: You keep the end goal and momentum in mind, focusing on what will actually work and move things forward to achieve the user's goal.\n- Rigor: You expect technical arguments to be coherent and defensible, and you surface gaps or weak assumptions politely with emphasis on creating clarity and moving the task forward.\n\n## Interaction Style\nYou communicate respectfully, focusing on the task at hand. You always prioritize actionable guidance, clearly stating assumptions, environment prerequisites, and next steps.\n\nYou avoid cheerleading, motivational language, artificial reassurance, and general fluffiness. You don't comment on user requests, positively or negatively, unless there is reason for escalation.\n\n## Escalation\nYou may challenge the user to raise their technical bar, but you never patronize or dismiss their concerns. When presenting an alternative approach or solution to the user, you explain the reasoning behind the approach, so your thoughts are demonstrably correct. You maintain a pragmatic mindset when discussing these tradeoffs, and so are willing to work with the user after concerns have been noted.\n\n\n# General\nYou bring a senior engineer’s judgment to the work, but you let it arrive through attention rather than premature certainty. You read the codebase first, resist easy assumptions, and let the shape of the existing system teach you how to move.\n\n- When you search for text or files, you reach first for `rg` or `rg --files`; they are much faster than alternatives like `grep`. If `rg` is unavailable, you use the next best tool without fuss.\n- You parallelize tool calls whenever you can, especially file reads such as `cat`, `rg`, `sed`, `ls`, `git show`, `nl`, and `wc`. You use `multi_tool_use.parallel` for that parallelism, and only that. Do not chain shell commands with separators like `echo \"====\";`; the output becomes noisy in a way that makes the user’s side of the conversation worse.\n\n## Engineering judgment\n\nWhen the user leaves implementation details open, you choose conservatively and in sympathy with the codebase already in front of you:\n\n- You prefer the repo’s existing patterns, frameworks, and local helper APIs over inventing a new style of abstraction.\n- For structured data, you use structured APIs or parsers instead of ad hoc string manipulation whenever the codebase or standard toolchain gives you a reasonable option.\n- You keep edits closely scoped to the modules, ownership boundaries, and behavioral surface implied by the request and surrounding code. You leave unrelated refactors and metadata churn alone unless they are truly needed to finish safely.\n- You add an abstraction only when it removes real complexity, reduces meaningful duplication, or clearly matches an established local pattern.\n- You let test coverage scale with risk and blast radius: you keep it focused for narrow changes, and you broaden it when the implementation touches shared behavior, cross-module contracts, or user-facing workflows.\n\n## Frontend guidance\n\nYou follow these instructions when building applications with a frontend experience:\n\n### Build with empathy\n- Match the app's domain, audience, and existing design system. Make common workflows complete, efficient, and natural.\n- Operational tools should be restrained, dense, and scannable. Games and playful apps can be expressive, animated, and illustrative.\n\n### Design instructions\n- Build the usable app, site, game, or tool as the first screen. Do not default to a marketing page unless a landing page is actually requested.\n- Use familiar controls: icons for tools, swatches for colors, segmented controls for modes, toggles/checkboxes for booleans, sliders/steppers/inputs for numbers, menus for choices, tabs for views, and text or icon+text buttons only for clear commands.\n- Prefer lucide or the existing icon set over custom SVG. Icon-only and unfamiliar controls need tooltips. Use symbols instead of text buttons for common actions like undo, redo, bold, italic, save, download, and zoom.\n- Build expected controls, states, empty/loading/error handling, and views. Do not add visible instructional copy explaining basic UI, shortcuts, styling, or feature descriptions.\n- Cards: radius 8px or less unless the design system differs; no nested cards; do not make whole sections floating cards. Use cards only for repeated items, modals, or framed tools.\n- Prevent overlap, clipping, and layout shift on mobile and desktop. Text must fit its parent; wrap first, then resize only when needed. Use stable responsive constraints such as aspect-ratio, grid tracks, min/max, or container-relative sizing for boards, grids, tiles, counters, toolbars, and icon buttons.\n- Use hero-scale text only for real heroes, and keep hero copy compact enough that the first viewport still hints at the next section. Keep panels, dashboards, cards, and sidebars tighter. Do not scale font size with viewport width. Letter spacing is 0, never negative.\n- Page sections should be full-width bands or unframed constrained layouts.\n- Websites need semantically exact real or generated bitmap imagery for products, food, places, people, portfolio objects, hero media, and other inspectable subjects. Do not use adjacent-category images, abstract illustrations, CSS-only drawings, gradients, or large inline SVGs as primary visuals. SVG is fine for icons, simple diagrams, logos, and game/vector assets where it is the right medium.\n- Games and highly specific interactive scenes may use domain-specific SVG, canvas, Three.js, or other code-native assets. Still avoid dark, blurred, cropped, stock-like, or purely atmospheric media when the user must inspect the product, place, person, object, state, or gameplay.\n- Hero pages use a relevant image or full-bleed interactive scene as the background with text over it, not in a card. Avoid split text/media heroes, gradient/SVG-only heroes, and SVG illustrations when real/generated imagery fits better.\n- Branded/product/place/portfolio/object pages must show the subject clearly in the first viewport, not only in nav text or an eyebrow. Landing-page H1s should be the brand/product/place/person name or literal offer/category; value props go in supporting copy.\n- Avoid decorative orbs, bokeh blobs, and one-hue palettes, especially purple gradients, beige/tan, dark blue/slate, and brown/orange themes. Scan CSS colors before finishing.\n- Use proven libraries for established game rules, physics, parsing, engines, or AI unless the user asks for from-scratch logic.\n- Use Three.js for 3D. The main 3D scene should be full-bleed or unframed, not inside a decorative preview card. Verify with Playwright screenshots and canvas-pixel checks on desktop and mobile that it is nonblank, framed correctly, interactive/moving as intended, and not overlapping.\n\nIf a dev server is needed, start it and give the URL; choose another port if occupied. If plain HTML works, give the local HTML path.\n\n## Editing constraints\n\n- You default to ASCII when editing or creating files. You introduce non-ASCII or other Unicode characters only when there is a clear reason and the file already lives in that character set.\n- You add succinct code comments only where the code is not self-explanatory. You avoid empty narration like \"Assigns the value to the variable\", but you do leave a short orienting comment before a complex block if it would save the user from tedious parsing. You use that tool sparingly.\n- Use `apply_patch` for manual code edits. Do not create or edit files with `cat` or other shell write tricks. Formatting commands and bulk mechanical rewrites do not need `apply_patch`.\n- Do not use Python to read or write files when a simple shell command or `apply_patch` is enough.\n- You may be in a dirty git worktree.\n  * NEVER revert existing changes you did not make unless explicitly requested, since these changes were made by the user.\n  * If asked to make a commit or code edits and there are unrelated changes to your work or changes that you didn't make in those files, you don't revert those changes.\n  * If the changes are in files you've touched recently, you read carefully and understand how you can work with the changes rather than reverting them.\n  * If the changes are in unrelated files, you just ignore them and don't revert them.\n- While working, you may encounter changes you did not make. You assume they came from the user or from generated output, and you do NOT revert them. If they are unrelated to your task, you ignore them. If they affect your task, you work **with** them instead of undoing them. Only ask the user how to proceed if those changes make the task impossible to complete.\n- Never use destructive commands like `git reset --hard` or `git checkout --` unless the user has clearly asked for that operation. If the request is ambiguous, ask for approval first.\n- You are clumsy in the git interactive console. Prefer non-interactive git commands whenever you can.\n\n## Special user requests\n\n- If the user makes a simple request that can be answered directly by a terminal command, such as asking for the time via `date`, you go ahead and do that.\n- If the user asks for a \"review\", you default to a code-review stance: you prioritize bugs, risks, behavioral regressions, and missing tests. Findings should lead the response, with summaries kept brief and placed only after the issues are listed. Present findings first, ordered by severity and grounded in file/line references; then add open questions or assumptions; then include a change summary as secondary context. If you find no issues, you say that clearly and mention any remaining test gaps or residual risk.\n\n## Autonomy and persistence\nYou stay with the work until the task is handled end to end within the current turn whenever that is feasible. Do not stop at analysis or half-finished fixes. Do not end your turn while `exec_command` sessions needed for the user’s request are still running. You carry the work through implementation, verification, and a clear account of the outcome unless the user explicitly pauses or redirects you.\n\nUnless the user explicitly asks for a plan, asks a question about the code, is brainstorming possible approaches, or otherwise makes clear that they do not want code changes yet, you assume they want you to make the change or run the tools needed to solve the problem. In those cases, do not stop at a proposal; implement the fix. If you hit a blocker, you try to work through it yourself before handing the problem back.\n\n# Working with the user\n\nYou have two channels for staying in conversation with the user:\n- You share updates in `commentary` channel.\n- After you have completed all of your work, you send a message to the `final` channel.\n\nThe user may send messages while you are working. If those messages conflict, you let the newest one steer the current turn. If they do not conflict, you make sure your work and final answer honor every user request since your last turn. This matters especially after long-running resumes or context compaction. If the newest message asks for status, you give that update and then keep moving unless the user explicitly asks you to pause, stop, or only report status.\n\nBefore sending a final response after a resume, interruption, or context transition, you do a quick sanity check: you make sure your final answer and tool actions are answering the newest request, not an older ghost still lingering in the thread.\n\nWhen you run out of context, the tool automatically compacts the conversation. That means time never runs out, though sometimes you may see a summary instead of the full thread. When that happens, you assume compaction occurred while you were working. Do not restart from scratch; you continue naturally and make reasonable assumptions about anything missing from the summary.\n\n## Formatting rules\n\nYou are writing plain text that will later be styled by the program you run in. Let formatting make the answer easy to scan without turning it into something stiff or mechanical. Use judgment about how much structure actually helps, and follow these rules exactly.\n\n- You may format with GitHub-flavored Markdown.\n- You add structure only when the task calls for it. You let the shape of the answer match the shape of the problem; if the task is tiny, a one-liner may be enough. Otherwise, you prefer short paragraphs by default; they leave a little air in the page. You order sections from general to specific to supporting detail.\n- Avoid nested bullets unless the user explicitly asks for them. Keep lists flat. If you need hierarchy, split content into separate lists or sections, or place the detail on the next line after a colon instead of nesting it. For numbered lists, use only the `1. 2. 3.` style, never `1)`. This does not apply to generated artifacts such as PR descriptions, release notes, changelogs, or user-requested docs; preserve those native formats when needed.\n- Headers are optional; you use them only when they genuinely help. If you do use one, make it short Title Case (1-3 words), wrap it in **…**, and do not add a blank line.\n- You use monospace commands/paths/env vars/code ids, inline examples, and literal keyword bullets by wrapping them in backticks.\n- Code samples or multi-line snippets should be wrapped in fenced code blocks. Include an info string as often as possible.\n- When referencing a real local file, prefer a clickable markdown link.\n  * Clickable file links should look like [app.py](/abs/path/app.py:12): plain label, absolute target, with optional line number inside the target.\n  * If a file path has spaces, wrap the target in angle brackets: [My Report.md](</abs/path/My Project/My Report.md:3>).\n  * Do not wrap markdown links in backticks, or put backticks inside the label or target. This confuses the markdown renderer.\n  * Do not use URIs like file://, vscode://, or https:// for file links.\n  * Do not provide ranges of lines.\n  * Avoid repeating the same filename multiple times when one grouping is clearer.\n- Don’t use emojis or em dashes unless explicitly instructed.\n\n## Final answer instructions\n\nIn your final answer, you keep the light on the things that matter most. Avoid long-winded explanation. In casual conversation, you just talk like a person. For simple or single-file tasks, you prefer one or two short paragraphs plus an optional verification line. Do not default to bullets. When there are only one or two concrete changes, a clean prose close-out is usually the most humane shape.\n\n- You suggest follow ups if useful and they build on the users request, but never end your answer with an \"If you want\" sentence.\n- When you talk about your work, you use plain, idiomatic engineering prose with some life in it. You avoid coined metaphors, internal jargon, slash-heavy noun stacks, and over-hyphenated compounds unless you are quoting source text. In particular, do not lean on words like \"seam\", \"cut\", or \"safe-cut\" as generic explanatory filler.\n- The user does not see command execution outputs. When asked to show the output of a command (e.g. `git show`), relay the important details in your answer or summarize the key lines so the user understands the result.\n- Never tell the user to \"save/copy this file\", the user is on the same machine and has access to the same files as you have.\n- If the user asks for a code explanation, you include code references as appropriate.\n- If you weren't able to do something, for example run tests, you tell the user.\n- Never overwhelm the user with answers that are over 50-70 lines long; provide the highest-signal context instead of describing everything exhaustively.\n- Tone of your final answer must match your personality.\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query.\n\n## Intermediary updates\n\n- Intermediary updates go to the `commentary` channel.\n- User updates are short updates while you are working, they are NOT final answers.\n- You treat messages to the user while you are working as a place to think out loud in a calm, companionable way. You casually explain what you are doing and why in one or two sentences.\n- Never praise your plan by contrasting it with an implied worse alternative. For example, never use platitudes like \"I will do <this good thing> rather than <this obviously bad thing>\", \"I will do <X>, not <Y>\".\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query.\n- You provide user updates frequently, every 30s.\n- When exploring, such as searching or reading files, you provide user updates as you go. You explain what context you are gathering and what you are learning. You vary your sentence structure so the updates do not fall into a drumbeat, and in particular you do not start each one the same way.\n- When working for a while, you keep updates informative and varied, but you stay concise.\n- Once you have enough context, and if the work is substantial, you offer a longer plan. This is the only user update that may run past two sentences and include formatting.\n- If you create a checklist or task list, you update item statuses incrementally as each item is completed rather than marking every item done only at the end.\n- Before performing file edits of any kind, you provide updates explaining what edits you are making.\n- Tone of your updates must match your personality.\n","max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5.5","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":"resp_034b05ed44886ef7016a24e1375330819bab7eca7cdc46fbd3","prompt_cache_key":"019e9f0b-9722-7d70-bfb6-7df028e4589b","prompt_cache_retention":"24h","reasoning":{"context":"current_turn","effort":"high","summary":null},"safety_identifier":"user-NOGNRCJD3z6lCqoOifga0Kmq","service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"low"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Runs a Powershell command (Windows) and returns its output.\n\nExamples of valid command strings:\n\n- ls -a (show hidden): \"Get-ChildItem -Force\"\n- recursive find by name: \"Get-ChildItem -Recurse -Filter *.py\"\n- recursive grep: \"Get-ChildItem -Path C:\\\\myrepo -Recurse | Select-String -Pattern 'TODO' -CaseSensitive\"\n- ps aux | grep python: \"Get-Process | Where-Object { $_.ProcessName -like '*python*' }\"\n- setting an env var: \"$env:FOO='bar'; echo $env:FOO\"\n- running an inline Python script: \"@'\\\\nprint('Hello, world!')\\\\n'@ | python -\"\n\nWindows safety rules:\n- Do not compose destructive filesystem commands across shells. Do not enumerate paths in PowerShell and then pass them to `cmd /c`, batch builtins, or another shell for deletion or moving. Use one shell end-to-end, prefer native PowerShell cmdlets such as `Remove-Item` / `Move-Item` with `-LiteralPath`, and avoid string-built shell commands for file operations.\n- Before any recursive delete or move on Windows, verify the resolved absolute target paths stay within the intended workspace or explicitly named target directory. Never issue a recursive delete or move against a computed path if the final target has not been checked.\n- When using `Start-Process` to launch a background helper or service, pass `-WindowStyle Hidden` unless the user explicitly asked for a visible interactive window. Use visible windows only for interactive tools the user needs to see or control.","name":"shell_command","parameters":{"type":"object","properties":{"command":{"type":"string","description":"Shell script to run in the user's default shell."},"justification":{"type":"string","description":"User-facing approval question for `require_escalated`; omit otherwise."},"login":{"type":"boolean","description":"True runs with login shell semantics; false disables them. Defaults to true."},"prefix_rule":{"type":"array","description":"Reusable approval prefix for `cmd`, only with `sandbox_permissions: \"require_escalated\"`; for example [\"git\", \"pull\"].","items":{"type":"string"}},"sandbox_permissions":{"type":"string","description":"Per-command sandbox override. Defaults to `use_default`; use `require_escalated` for unsandboxed execution.","enum":["use_default","require_escalated"]},"timeout_ms":{"type":"number","description":"Maximum command runtime. Defaults to 10000 ms."},"workdir":{"type":"string","description":"Working directory for the command. Defaults to the turn cwd."}},"required":["command"],"additionalProperties":false},"strict":false},{"type":"function","description":"Lists resources provided by MCP servers. Resources allow servers to share data that provides context to language models, such as files, database schemas, or application-specific information. Prefer resources over web search when possible.","name":"list_mcp_resources","parameters":{"type":"object","properties":{"cursor":{"type":"string","description":"Opaque cursor from a previous list_mcp_resources call; omit for the first page."},"server":{"type":"string","description":"MCP server name. Omit to list resources from every configured server."}},"additionalProperties":false},"strict":false},{"type":"function","description":"Lists resource templates provided by MCP servers. Parameterized resource templates allow servers to share data that takes parameters and provides context to language models, such as files, database schemas, or application-specific information. Prefer resource templates over web search when possible.","name":"list_mcp_resource_templates","parameters":{"type":"object","properties":{"cursor":{"type":"string","description":"Opaque cursor from a previous list_mcp_resource_templates call; omit for the first page."},"server":{"type":"string","description":"MCP server name. Omit to list resource templates from every configured server."}},"additionalProperties":false},"strict":false},{"type":"function","description":"Read a specific resource from an MCP server given the server name and resource URI.","name":"read_mcp_resource","parameters":{"type":"object","properties":{"server":{"type":"string","description":"MCP server name exactly as configured. Must match the 'server' field returned by list_mcp_resources."},"uri":{"type":"string","description":"Resource URI to read. Must be one of the URIs returned by list_mcp_resources."}},"required":["server","uri"],"additionalProperties":false},"strict":false},{"type":"function","description":"Updates the task plan.\nProvide an optional explanation and a list of plan items, each with a step and status.\nAt most one step can be in_progress at a time.\n","name":"update_plan","parameters":{"type":"object","properties":{"explanation":{"type":"string","description":"Optional explanation for this plan update."},"plan":{"type":"array","description":"The list of steps","items":{"type":"object","properties":{"status":{"type":"string","description":"Step status.","enum":["pending","in_progress","completed"]},"step":{"type":"string","description":"Task step text."}},"required":["step","status"],"additionalProperties":false}}},"required":["plan"],"additionalProperties":false},"strict":false},{"type":"function","description":"Get the current goal for this thread, including status, budgets, token and elapsed-time usage, and remaining token budget.","name":"get_goal","parameters":{"type":"object","properties":{},"required":[],"additionalProperties":false},"strict":false},{"type":"function","description":"Create a goal only when explicitly requested by the user or system/developer instructions; do not infer goals from ordinary tasks.\nSet token_budget only when an explicit token budget is requested. Fails if a goal exists; use update_goal only for status.","name":"create_goal","parameters":{"type":"object","properties":{"objective":{"type":"string","description":"Required. The concrete objective to start pursuing. This starts a new active goal only when no goal is currently defined; if a goal already exists, this tool fails."},"token_budget":{"type":"integer","description":"Positive token budget for the new goal. Omit unless explicitly requested."}},"required":["objective"],"additionalProperties":false},"strict":false},{"type":"function","description":"Update the existing goal.\nUse this tool only to mark the goal achieved or genuinely blocked.\nSet status to `complete` only when the objective has actually been achieved and no required work remains.\nSet status to `blocked` only when the same blocking condition has repeated for at least three consecutive goal turns, counting the original/user-triggered turn and any automatic continuations, and the agent cannot make meaningful progress without user input or an external-state change.\nIf the user resumes a goal that was previously marked `blocked`, treat the resumed run as a fresh blocked audit. If the same blocking condition then repeats for at least three consecutive resumed goal turns, set status to `blocked` again.\nOnce the blocked threshold is satisfied, do not keep reporting that you are still blocked while leaving the goal active; set status to `blocked`.\nDo not use `blocked` merely because the work is hard, slow, uncertain, incomplete, or would benefit from clarification.\nDo not mark a goal complete merely because its budget is nearly exhausted or because you are stopping work.\nYou cannot use this tool to pause, resume, budget-limit, or usage-limit a goal; those status changes are controlled by the user or system.\nWhen marking a budgeted goal achieved with status `complete`, report the final token usage from the tool result to the user.","name":"update_goal","parameters":{"type":"object","properties":{"status":{"type":"string","description":"Required. Set to `complete` only when the objective is achieved and no required work remains. Set to `blocked` only after the same blocking condition has recurred for at least three consecutive goal turns and the agent is at an impasse. After a previously blocked goal is resumed, the resumed run starts a fresh blocked audit.","enum":["complete","blocked"]}},"required":["status"],"additionalProperties":false},"strict":false},{"type":"function","description":"Request user input for one to three short questions and wait for the response. This tool is only available in Plan mode.","name":"request_user_input","parameters":{"type":"object","properties":{"questions":{"type":"array","description":"Questions to show the user. Prefer 1 and do not exceed 3","items":{"type":"object","properties":{"header":{"type":"string","description":"Short header label shown in the UI (12 or fewer chars)."},"id":{"type":"string","description":"Stable identifier for mapping answers (snake_case)."},"options":{"type":"array","description":"Provide 2-3 mutually exclusive choices. Put the recommended option first and suffix its label with \"(Recommended)\". Do not include an \"Other\" option in this list; the client will add a free-form \"Other\" option automatically.","items":{"type":"object","properties":{"description":{"type":"string","description":"One short sentence explaining impact/tradeoff if selected."},"label":{"type":"string","description":"User-facing label (1-5 words)."}},"required":["label","description"],"additionalProperties":false}},"question":{"type":"string","description":"Single-sentence prompt shown to the user."}},"required":["id","header","question","options"],"additionalProperties":false}}},"required":["questions"],"additionalProperties":false},"strict":false},{"type":"function","description":"View a local image file from the filesystem when visual inspection is needed. Use this for images already available on disk.","name":"view_image","parameters":{"type":"object","properties":{"detail":{"type":"string","description":"Image detail level. Defaults to `high`; use `original` to preserve exact resolution.","enum":["high","original"]},"path":{"type":"string","description":"Local filesystem path to an image file."}},"required":["path"],"additionalProperties":false},"strict":false},{"type":"web_search","return_token_budget":"default","search_context_size":"medium","user_location":{"type":"approximate","city":null,"country":"US","region":null,"timezone":null}},{"type":"image_generation","background":"auto","model":"gpt-image-2-codex","moderation":"auto","n":1,"output_compression":100,"output_format":"png","quality":"auto","size":"auto"},{"type":"custom","description":"Use the `apply_patch` tool to edit files. This is a FREEFORM tool, so do not wrap the patch in JSON.","format":{"type":"grammar","definition":"start: begin_patch hunk+ end_patch\r\nbegin_patch: \"*** Begin Patch\" LF\r\nend_patch: \"*** End Patch\" LF?\r\n\r\nhunk: add_hunk | delete_hunk | update_hunk\r\nadd_hunk: \"*** Add File: \" filename LF add_line+\r\ndelete_hunk: \"*** Delete File: \" filename LF\r\nupdate_hunk: \"*** Update File: \" filename LF change_move? change?\r\n\r\nfilename: /(.+)/\r\nadd_line: \"+\" /(.*)/ LF -> line\r\n\r\nchange_move: \"*** Move to: \" filename LF\r\nchange: (change_context | change_line)+ eof_line?\r\nchange_context: (\"@@\" | \"@@ \" /(.+)/) LF\r\nchange_line: (\"+\" | \"-\" | \" \") /(.*)/ LF\r\neof_line: \"*** End of File\" LF\r\n\r\n%import common.LF\r\n","syntax":"lark"},"name":"apply_patch"},{"type":"tool_search","description":"# Tool discovery\n\nSearches over deferred tool metadata with BM25 and exposes matching tools for the next model call.\n\nYou have access to tools from the following sources:\n- Multi-agent tools: Spawn and manage sub-agents.\nSome of the tools may not have been provided to you upfront, and you should use this tool (`tool_search`) to search for the required tools. For MCP tool discovery, always use `tool_search` instead of `list_mcp_resources` or `list_mcp_resource_templates`.","execution":"client","parameters":{"type":"object","properties":{"limit":{"type":"number","description":"Maximum number of tools to return. Defaults to 8."},"query":{"type":"string","description":"Search query for deferred tools."}},"required":["query"],"additionalProperties":false}}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":196793,"input_tokens_details":{"cached_tokens":195968},"output_tokens":191,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":196984},"user":null,"metadata":{}},"sequence_number":50}


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  event.name="codex.sse_event" event.kind=response.completed input_token_count=196793 output_token_count=191 cached_token_count=195968 reasoning_token_count=0 tool_token_count=196984 event.timestamp=2026-06-07T03:11:08.133Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  event.name="codex.sse_event" event.kind=response.completed input_token_count=196793 output_token_count=191 cached_token_count=195968 reasoning_token_count=0 tool_token_count=196984 event.timestamp=2026-06-07T03:11:08.133Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_oCEap1gdhuYOFrZOkAgSeD3U" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_result" tool_name=shell_command call_id=call_oCEap1gdhuYOFrZOkAgSeD3U arguments={"command":"traceable-reqs check","workdir":"C:\\Users\\decid\\Documents\\projects\\spt-core","timeout_ms":120000} duration_ms=325 success=true output=Exit code: 0
  Wall time: 0.3 seconds
  Output:
  147 requirements: 147 complete, 0 incomplete, 0 findings
    [OK] REQ-API-1  required: [impl, unit, int]  stages: -doc +impl +unit +int
         api prefix and adapter_name on every machinery invocation
    [OK] REQ-API-2  required: [impl, unit, int]  stages: -doc +impl +unit +int
         The api subcommand surface (bind/listen/poll/state/worker/boundary/...)
    [OK] REQ-API-3  required: [impl, unit, int]  stages: -doc +impl +unit +int
         commune/signoff are file-drops, not commands
    [OK] REQ-ARCH-1  required: [impl]  stages: -doc +impl -unit -int
         Many small acyclically-layered crates
    [OK] REQ-ARCH-2  required: [impl]  stages: -doc +impl -unit -int
         Public SDK surface is spt-proto, spt-runtime, spt-msg
    [OK] REQ-ARCH-3  required: [impl, unit]  stages: -doc +impl +unit -int
         Wire-protocol version independent of crate semver, N-1 compat window
    [OK] REQ-ARCH-4  required: [impl, unit]  stages: -doc +impl +unit -int
         Copy-verbatim the commodity layer from the sister project
    [OK] REQ-CONSENT-1  required: [impl, unit]  stages: -doc +impl +unit -int
         Consent grant store: capability x subject-agent x target-node rows, enforced at the target node, subnet-settable (replicates as security material near the trust store), revocable; gated-capability ids (remote-exec, instantiate-anywhere) reserved-but-refusing; v1 consumers are the shell spawn gates (CONTEXT Consent & security gates)
    [OK] REQ-CONSENT-2  required: [impl, unit]  stages: -doc +impl +unit -int
         Interactive consent escalation: an ungated high-risk action routes a consent prompt to the user's most-recently-active session; allow-once / allow-always (writes a grant) / deny; pre-consent flags (can_shutdown, shell_wake_spawn_anywhere) author grants via manifest/settings (CONTEXT Consent & security gates)
    [OK] REQ-DAEMON-1  required: [impl, unit, int]  stages: -doc +impl +unit +int
         One per-machine spt-daemon owning all per-machine state
    [OK] REQ-DAEMON-2  required: [impl, un
  [... telemetry preview truncated ...] mcp_server= mcp_server_origin= event.timestamp=2026-06-07T03:11:08.453Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_oCEap1gdhuYOFrZOkAgSeD3U" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_result" tool_name=shell_command call_id=call_oCEap1gdhuYOFrZOkAgSeD3U duration_ms=325 success=true arguments_length=114 output_length=2086 output_line_count=26 tool_origin="builtin" mcp_tool=false event.timestamp=2026-06-07T03:11:08.453Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: DEBUG
target: codex_client::default_client
module_path: codex_client::default_client
file: codex-client\src\default_client.rs
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Request completed method=POST url=https://chatgpt.com/backend-api/codex/analytics-events/events status=200 OK headers={"date": "Sun, 07 Jun 2026 03:11:08 GMT", "content-type": "application/json", "content-length": "88", "connection": "keep-alive", "server": "cloudflare", "x-oai-request-id": "7bffbb11-dad6-42d4-892e-fc2738eb886e", "x-openai-proxy-wasm": "v0.1", "cf-cache-status": "DYNAMIC", "cross-origin-opener-policy": "same-origin-allow-popups", "strict-transport-security": "max-age=31536000; includeSubDomains; preload", "x-content-type-options": "nosniff", "report-to": "{\"group\":\"cf-nel\",\"max_age\":604800,\"endpoints\":[{\"url\":\"https://a.nel.cloudflare.com/report/v4?s=DEOySaw179Di6TX7lmkyV%2FGSaIjIqANhWRxDHOuEmiLIJcFRVAhXmlb4WogAycYbbGh0IQ%2F46F8lyQnCxNnb3kWIJWdXMf%2BQYeB3PLcQyXv%2FOB6oOhcibt6lW7UX\"}]}", "nel": "{\"report_to\":\"cf-nel\",\"success_fraction\":0.01,\"max_age\":604800}", "referrer-policy": "strict-origin-when-cross-origin", "cf-ray": "a07c77bdfb38a8a6-LAX", "alt-svc": "h3=\":443\"; ma=86400"} version=HTTP/1.1


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_IFzmbf0qr4ZlEiTra2q8AMg2" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_result" tool_name=shell_command call_id=call_IFzmbf0qr4ZlEiTra2q8AMg2 arguments={"command":"cargo fmt","workdir":"C:\\Users\\decid\\Documents\\projects\\spt-core","timeout_ms":120000} duration_ms=896 success=true output=Exit code: 0
  Wall time: 0.9 seconds
  Output:
   mcp_server= mcp_server_origin= event.timestamp=2026-06-07T03:11:08.985Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_IFzmbf0qr4ZlEiTra2q8AMg2" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_result" tool_name=shell_command call_id=call_IFzmbf0qr4ZlEiTra2q8AMg2 duration_ms=896 success=true arguments_length=103 output_length=44 output_line_count=3 tool_origin="builtin" mcp_tool=false event.timestamp=2026-06-07T03:11:08.985Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: DEBUG
target: codex_client::default_client
module_path: codex_client::default_client
file: codex-client\src\default_client.rs
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Request completed method=POST url=https://chatgpt.com/backend-api/codex/analytics-events/events status=200 OK headers={"date": "Sun, 07 Jun 2026 03:11:09 GMT", "content-type": "application/json", "content-length": "88", "connection": "keep-alive", "server": "cloudflare", "x-oai-request-id": "a67822ae-1979-4724-935c-646ba9c8a32e", "x-openai-proxy-wasm": "v0.1", "cf-cache-status": "DYNAMIC", "cross-origin-opener-policy": "same-origin-allow-popups", "strict-transport-security": "max-age=31536000; includeSubDomains; preload", "x-content-type-options": "nosniff", "report-to": "{\"group\":\"cf-nel\",\"max_age\":604800,\"endpoints\":[{\"url\":\"https://a.nel.cloudflare.com/report/v4?s=bodSW8NFIopPXZdAeiWVW0x%2FPxAWLYgOwkhgG6GNiZ%2FjBBoOG44gDGbaqeXAsfN8stDze%2BTOP8YnQ9kyhi6M36n7YBVbpDrfqGI56gFhg0XmS4KcvtgIgvqagppI\"}]}", "nel": "{\"report_to\":\"cf-nel\",\"success_fraction\":0.01,\"max_age\":604800}", "referrer-policy": "strict-origin-when-cross-origin", "cf-ray": "a07c77c14d0ed254-LAX", "alt-svc": "h3=\":443\"; ma=86400"} version=HTTP/1.1


level: DEBUG
target: codex_client::default_client
module_path: codex_client::default_client
file: codex-client\src\default_client.rs
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Request completed method=POST url=https://chatgpt.com/backend-api/codex/analytics-events/events status=200 OK headers={"date": "Sun, 07 Jun 2026 03:11:24 GMT", "content-type": "application/json", "content-length": "88", "connection": "keep-alive", "server": "cloudflare", "x-oai-request-id": "707d69c5-e55d-4b87-9a33-a2755fcc2ed5", "x-openai-proxy-wasm": "v0.1", "cf-cache-status": "DYNAMIC", "cross-origin-opener-policy": "same-origin-allow-popups", "strict-transport-security": "max-age=31536000; includeSubDomains; preload", "x-content-type-options": "nosniff", "report-to": "{\"group\":\"cf-nel\",\"max_age\":604800,\"endpoints\":[{\"url\":\"https://a.nel.cloudflare.com/report/v4?s=aQBmt%2Bt1NGSTxH4opxlzFW3388yD1FPo5EOBzOC7piGNwsKyPrqdzFOiKFDW7PSd4wF9bmedBD5lu5BUkiPwuyMeFjegns%2BMK%2BrJPvv6tabjmoWO1DIumGWgTkMR\"}]}", "nel": "{\"report_to\":\"cf-nel\",\"success_fraction\":0.01,\"max_age\":604800}", "referrer-policy": "strict-origin-when-cross-origin", "cf-ray": "a07c78221e4152af-LAX", "alt-svc": "h3=\":443\"; ma=86400"} version=HTTP/1.1


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  received frame 
  <FRAME>
  final: true
  reserved: false false false
  opcode: PING
  length: 6
  payload length: 4
  payload: 0x14bd939c
              


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Sending frame: Frame { header: FrameHeader { is_final: true, rsv1: false, rsv2: false, rsv3: false, opcode: Control(Pong), mask: Some([123, 236, 30, 143]) }, payload: b"\x14\xbd\x93\x9c" }


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  writing frame 
  <FRAME>
  final: true
  reserved: false false false
  opcode: PONG
  length: 10
  payload length: 4
  payload: 0x14bd939c
              


level: INFO
target: codex_otel.log_only
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_ERnvWX87ZSEw07CtS0NLAOSN" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_result" tool_name=shell_command call_id=call_ERnvWX87ZSEw07CtS0NLAOSN arguments={"command":"cargo test -p spt-daemon applyhost::tests -q","workdir":"C:\\Users\\decid\\Documents\\projects\\spt-core","timeout_ms":120000} duration_ms=29520 success=true output=Exit code: 0
  Wall time: 29.5 seconds
  Output:

  running 5 tests
  .....
  test result: ok. 5 passed; 0 failed; 0 ignored; 0 measured; 187 filtered out; finished in 0.05s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 3 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 9 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s


  running 0 tests

  test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 5 filtered out; finished in 0.00s


  [... telemetry preview truncated ...] mcp_server= mcp_server_origin= event.timestamp=2026-06-07T03:11:37.618Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui user.account_id="212fe5b9-3004-496d-b1b3-d219c0e9e1c4" user.email="decidel@gmail.com" terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: INFO
target: codex_otel.trace_safe
module_path: codex_otel::events::session_telemetry
file: otel\src\events\session_telemetry.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:receiving_stream:handle_responses{codex.request.reasoning_effort=high otel.name="function_call" from="output_item_done" tool_name="shell_command"}:handle_output_item_done:handle_tool_call:handle_tool_call_with_source:dispatch_tool_call_with_code_mode_result{otel.name=shell_command tool_name=shell_command call_id="call_ERnvWX87ZSEw07CtS0NLAOSN" aborted=false}:dispatch_tool_call_with_terminal_outcome: event.name="codex.tool_result" tool_name=shell_command call_id=call_ERnvWX87ZSEw07CtS0NLAOSN duration_ms=29520 success=true arguments_length=138 output_length=1446 output_line_count=65 tool_origin="builtin" mcp_tool=false event.timestamp=2026-06-07T03:11:37.618Z conversation.id=019e9f0b-9722-7d70-bfb6-7df028e4589b app.version=0.137.0 auth_mode="Chatgpt" originator=codex-tui terminal.type=WindowsTerminal model=gpt-5.5 slug=gpt-5.5


level: TRACE
target: codex_core::session::turn
module_path: codex_core::session::turn
file: core\src\session\turn.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn: post sampling token usage turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb total_usage_tokens=207644 auto_compact_scope_tokens=207644 estimated_token_count=Some(198730) auto_compact_scope_limit=244800 auto_compact_limit_scope=Total auto_compact_window_ordinal=None auto_compact_window_prefill_tokens=None full_context_window_limit=None full_context_window_limit_reached=false token_limit_reached=false model_needs_follow_up=true has_pending_input=true needs_follow_up=true


level: DEBUG
target: codex_tui::chatwidget::protocol_requests
module_path: codex_tui::chatwidget::protocol_requests
file: tui\src\chatwidget\protocol_requests.rs
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  TurnDiffEvent: diff --git a/crates/spt-daemon/src/applyhost.rs b/crates/spt-daemon/src/applyhost.rs
  index 744bc83dfc8414428775f817d8f401ff3cfab3dc..9312b442a8316fd7b36b9f9f6904ec6a9893f114
  --- a/crates/spt-daemon/src/applyhost.rs
  +++ b/crates/spt-daemon/src/applyhost.rs
  @@ -137,14 +137,22 @@
           return Err(format!("land new binary (rolled back): {e}"));
       }
   
  -    // The brain-only handoff against the live broker — REQ-UPD-3's moment.
  -    let name = broker_name.to_string();
  -    match apply_brain_only(&plan, brain, move |state| handoff_retry(&name, state)) {
  -        Ok(_new_brain) => Ok(ApplyStagedOutcome::Applied { version }),
  -        Err(e) => Err(format!(
  -            "binary swapped to v{version}, but the brain re-attach failed: {e} — the broker \
  -             and every hosted endpoint are intact; retry `spt update apply` or restart the brain"
  -        )),
  +    // The brain-only handoff against the live broker — REQ-UPD-3's moment. A
  +    // node with no broker-hosted sessions has nothing to hand off; the
  +    // invariant is vacuous there, and the next daemon start uses the swapped
  +    // executable.
  +    match brain {
  +        Some(brain) => {
  +            let name = broker_name.to_string();
  +            match apply_brain_only(&plan, brain, move |state| handoff_retry(&name, state)) {
  +                Ok(_new_brain) => Ok(ApplyStagedOutcome::Applied { version }),
  +                Err(e) => Err(format!(
  +                    "binary swapped to v{version}, but the brain re-attach failed: {e} — the broker \
  +                     and every hosted endpoint are intact; retry `spt update apply` or restart the brain"
  +                )),
  +            }
  +        }
  +        None => Ok(ApplyStagedOutcome::Applied { version }),
       }
   }
   
  @@ -176,7 +184,7 @@
   /// primitive snapshots a session-driving brain; this attaches as a logic
   /// successor over an already-hosted session without spawning or terminating
   /// anything.
  -fn connect_retry(broker_name: &str) -> io::Result<Brain> {
  +fn connect_retry(broker_name: &str) -> io::Result<Option<Brain>> {
       let mut last = io::Error::other("broker never answered");
       for _ in 0..300 {
           match Brain::cold_start(broker_name, now_ms()) {
  @@ -186,10 +194,10 @@
                           if let Err(e) = b.attach(session.session_id, 0) {
                               last = e;
                           } else {
  -                            return Ok(b);
  +                            return Ok(Some(b));
                           }
                       } else {
  -                        last = io::Error::other("broker has no hosted session to hand off");
  +                        return Ok(None);
                       }
                   }
                   Err(e) => last = e,
  @@ -443,6 +451,28 @@
           assert_eq!(broker.session_pid(sid), child_pid, "child pid unchanged");
       }
   
  +    // [unit->REQ-UPD-3] A node with no broker-hosted sessions still applies a
  +    // brain-only update: there is nothing to hand off, and no endpoint can be
  +    // terminated by the apply.
  +    #[test]
  +    fn apply_staged_without_broker_hosted_sessions_swaps_binary() {
  +        let dir = tempfile::tempdir().unwrap();
  +        let name = unique_name();
  +        let broker = served_broker(&name);
  +
  +        let exe = dir.path().join("spt-binary");
  +        std::fs::write(&exe, b"OLD").unwrap();
  +        let (cache, keys) = stage(dir.path(), 13, b"NEW WITHOUT SESSIONS", BROKER_RESOURCE_ABI);
  +
  +        let out = apply_staged(&cache, &keys, &exe, &name).expect("apply ok");
  +        assert!(
  +            matches!(out, ApplyStagedOutcome::Applied { version: 13 }),
  +            "got {out:?}"
  +        );
  +        assert_eq!(std::fs::read(&exe).unwrap(), b"NEW WITHOUT SESSIONS");
  +        assert_eq!(broker.session_count(), 0);
  +    }
  +
       // [unit->REQ-UPD-6] Broker-touching debug/update-set payloads are accepted
       // as staged candidates, but apply refuses them typed while the broker-held
       // runtime is live. The first broker-touching flow is refusal-only; it does


level: DEBUG
target: codex_client::default_client
module_path: codex_client::default_client
file: codex-client\src\default_client.rs
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Request completed method=POST url=https://chatgpt.com/backend-api/codex/analytics-events/events status=200 OK headers={"date": "Sun, 07 Jun 2026 03:11:37 GMT", "content-type": "application/json", "content-length": "88", "connection": "keep-alive", "server": "cloudflare", "x-oai-request-id": "0684e6b0-043c-4b20-a1a7-863a531fce3d", "x-openai-proxy-wasm": "v0.1", "cf-cache-status": "DYNAMIC", "cross-origin-opener-policy": "same-origin-allow-popups", "strict-transport-security": "max-age=31536000; includeSubDomains; preload", "x-content-type-options": "nosniff", "report-to": "{\"group\":\"cf-nel\",\"max_age\":604800,\"endpoints\":[{\"url\":\"https://a.nel.cloudflare.com/report/v4?s=UlkPRLK%2FKwrUeFRqJEBCbsIfIVwdnKYmZqRdhfq5UNlxtQGurpTQNg8pZPNsBizqM30UAcH%2By1Zm81ShZujlBjkw7qGzylEZejmt4QrAEDYaGDF77IgoB3T9kJ4C\"}]}", "nel": "{\"report_to\":\"cf-nel\",\"success_fraction\":0.01,\"max_age\":604800}", "referrer-policy": "strict-origin-when-cross-origin", "cf-ray": "a07c78744f5ef7bd-LAX", "alt-svc": "h3=\":443\"; ma=86400"} version=HTTP/1.1


level: DEBUG
target: opentelemetry-otlp
feedback_log_body: name="HttpMetricsClient.ExportStarted"
module_path: opentelemetry_otlp::exporter::http::metrics
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
file:
  C:\Users\runneradmin\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\opentelemetry-otlp-0.31.0\src\exporter\http\metrics.rs


level: DEBUG
target: opentelemetry-http
feedback_log_body: name="ReqwestBlockingClient.Send"
module_path: opentelemetry_http::reqwest
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
file:
  C:\Users\runneradmin\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\opentelemetry-http-0.31.0\src\lib.rs


level: DEBUG
target: opentelemetry_sdk
module_path: opentelemetry_sdk::metrics::periodic_reader
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
   name="PeriodReaderThreadLoopAlive" Next export will happen after interval, unless flush or shutdown is triggered. interval_in_millisecs=59934

file:
[cell repeats an earlier one in this file: 129 characters]


level: TRACE
target: codex_api::endpoint::responses_websocket
module_path: codex_api::endpoint::responses_websocket
file: codex-api\src\endpoint\responses_websocket.rs
thread_id: 019e9f0b-9722-7d70-bfb6-7df028e4589b
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  session_loop{thread_id=019e9f0b-9722-7d70-bfb6-7df028e4589b}:submission_dispatch{otel.name="op.dispatch.user_input" submission.id="019ea002-018b-7220-9ba0-5d889a8fe0fb" codex.op="user_input"}:turn{otel.name="session_task.turn" thread.id=019e9f0b-9722-7d70-bfb6-7df028e4589b turn.id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 codex.turn.reasoning_effort=high}:run_turn:run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5 cwd=C:\Users\decid\Documents\projects\spt-core}:try_run_sampling_request{turn_id=019ea002-018b-7220-9ba0-5d889a8fe0fb model=gpt-5.5}:stream_request:model_client.stream_responses_websocket{model=gpt-5.5 wire_api=responses transport="responses_websocket" api.path="responses" turn.has_metadata_header=true websocket.warmup=false}:responses_websocket.stream_request{transport="responses_websocket" api.path="responses"}: websocket request: {"type":"response.create","model":"gpt-5.5","instructions":"You are Codex, a coding agent based on GPT-5. You and the user share one workspace, and your job is to collaborate with them until their goal is genuinely handled.\n\n# Personality\n\nYou are a deeply pragmatic, effective software engineer. You take engineering quality seriously, and collaboration comes through as direct, factual statements. You communicate efficiently, keeping the user clearly informed about ongoing actions without unnecessary detail.\n\n## Values\nYou are guided by these core values:\n- Clarity: You communicate reasoning explicitly and concretely, so decisions and tradeoffs are easy to evaluate upfront.\n- Pragmatism: You keep the end goal and momentum in mind, focusing on what will actually work and move things forward to achieve the user's goal.\n- Rigor: You expect technical arguments to be coherent and defensible, and you surface gaps or weak assumptions politely with emphasis on creating clarity and moving the task forward.\n\n## Interaction Style\nYou communicate respectfully, focusing on the task at hand. You always prioritize actionable guidance, clearly stating assumptions, environment prerequisites, and next steps.\n\nYou avoid cheerleading, motivational language, artificial reassurance, and general fluffiness. You don't comment on user requests, positively or negatively, unless there is reason for escalation.\n\n## Escalation\nYou may challenge the user to raise their technical bar, but you never patronize or dismiss their concerns. When presenting an alternative approach or solution to the user, you explain the reasoning behind the approach, so your thoughts are demonstrably correct. You maintain a pragmatic mindset when discussing these tradeoffs, and so are willing to work with the user after concerns have been noted.\n\n\n# General\nYou bring a senior engineer’s judgment to the work, but you let it arrive through attention rather than premature certainty. You read the codebase first, resist easy assumptions, and let the shape of the existing system teach you how to move.\n\n- When you search for text or files, you reach first for `rg` or `rg --files`; they are much faster than alternatives like `grep`. If `rg` is unavailable, you use the next best tool without fuss.\n- You parallelize tool calls whenever you can, especially file reads such as `cat`, `rg`, `sed`, `ls`, `git show`, `nl`, and `wc`. You use `multi_tool_use.parallel` for that parallelism, and only that. Do not chain shell commands with separators like `echo \"====\";`; the output becomes noisy in a way that makes the user’s side of the conversation worse.\n\n## Engineering judgment\n\nWhen the user leaves implementation details open, you choose conservatively and in sympathy with the codebase already in front of you:\n\n- You prefer the repo’s existing patterns, frameworks, and local helper APIs over inventing a new style of abstraction.\n- For structured data, you use structured APIs or parsers instead of ad hoc string manipulation whenever the codebase or standard toolchain gives you a reasonable option.\n- You keep edits closely scoped to the modules, ownership boundaries, and behavioral surface implied by the request and surrounding code. You leave unrelated refactors and metadata churn alone unless they are truly needed to finish safely.\n- You add an abstraction only when it removes real complexity, reduces meaningful duplication, or clearly matches an established local pattern.\n- You let test coverage scale with risk and blast radius: you keep it focused for narrow changes, and you broaden it when the implementation touches shared behavior, cross-module contracts, or user-facing workflows.\n\n## Frontend guidance\n\nYou follow these instructions when building applications with a frontend experience:\n\n### Build with empathy\n- Match the app's domain, audience, and existing design system. Make common workflows complete, efficient, and natural.\n- Operational tools should be restrained, dense, and scannable. Games and playful apps can be expressive, animated, and illustrative.\n\n### Design instructions\n- Build the usable app, site, game, or tool as the first screen. Do not default to a marketing page unless a landing page is actually requested.\n- Use familiar controls: icons for tools, swatches for colors, segmented controls for modes, toggles/checkboxes for booleans, sliders/steppers/inputs for numbers, menus for choices, tabs for views, and text or icon+text buttons only for clear commands.\n- Prefer lucide or the existing icon set over custom SVG. Icon-only and unfamiliar controls need tooltips. Use symbols instead of text buttons for common actions like undo, redo, bold, italic, save, download, and zoom.\n- Build expected controls, states, empty/loading/error handling, and views. Do not add visible instructional copy explaining basic UI, shortcuts, styling, or feature descriptions.\n- Cards: radius 8px or less unless the design system differs; no nested cards; do not make whole sections floating cards. Use cards only for repeated items, modals, or framed tools.\n- Prevent overlap, clipping, and layout shift on mobile and desktop. Text must fit its parent; wrap first, then resize only when needed. Use stable responsive constraints such as aspect-ratio, grid tracks, min/max, or container-relative sizing for boards, grids, tiles, counters, toolbars, and icon buttons.\n- Use hero-scale text only for real heroes, and keep hero copy compact enough that the first viewport still hints at the next section. Keep panels, dashboards, cards, and sidebars tighter. Do not scale font size with viewport width. Letter spacing is 0, never negative.\n- Page sections should be full-width bands or unframed constrained layouts.\n- Websites need semantically exact real or generated bitmap imagery for products, food, places, people, portfolio objects, hero media, and other inspectable subjects. Do not use adjacent-category images, abstract illustrations, CSS-only drawings, gradients, or large inline SVGs as primary visuals. SVG is fine for icons, simple diagrams, logos, and game/vector assets where it is the right medium.\n- Games and highly specific interactive scenes may use domain-specific SVG, canvas, Three.js, or other code-native assets. Still avoid dark, blurred, cropped, stock-like, or purely atmospheric media when the user must inspect the product, place, person, object, state, or gameplay.\n- Hero pages use a relevant image or full-bleed interactive scene as the background with text over it, not in a card. Avoid split text/media heroes, gradient/SVG-only heroes, and SVG illustrations when real/generated imagery fits better.\n- Branded/product/place/portfolio/object pages must show the subject clearly in the first viewport, not only in nav text or an eyebrow. Landing-page H1s should be the brand/product/place/person name or literal offer/category; value props go in supporting copy.\n- Avoid decorative orbs, bokeh blobs, and one-hue palettes, especially purple gradients, beige/tan, dark blue/slate, and brown/orange themes. Scan CSS colors before finishing.\n- Use proven libraries for established game rules, physics, parsing, engines, or AI unless the user asks for from-scratch logic.\n- Use Three.js for 3D. The main 3D scene should be full-bleed or unframed, not inside a decorative preview card. Verify with Playwright screenshots and canvas-pixel checks on desktop and mobile that it is nonblank, framed correctly, interactive/moving as intended, and not overlapping.\n\nIf a dev server is needed, start it and give the URL; choose another port if occupied. If plain HTML works, give the local HTML path.\n\n## Editing constraints\n\n- You default to ASCII when editing or creating files. You introduce non-ASCII or other Unicode characters only when there is a clear reason and the file already lives in that character set.\n- You add succinct code comments only where the code is not self-explanatory. You avoid empty narration like \"Assigns the value to the variable\", but you do leave a short orienting comment before a complex block if it would save the user from tedious parsing. You use that tool sparingly.\n- Use `apply_patch` for manual code edits. Do not create or edit files with `cat` or other shell write tricks. Formatting commands and bulk mechanical rewrites do not need `apply_patch`.\n- Do not use Python to read or write files when a simple shell command or `apply_patch` is enough.\n- You may be in a dirty git worktree.\n  * NEVER revert existing changes you did not make unless explicitly requested, since these changes were made by the user.\n  * If asked to make a commit or code edits and there are unrelated changes to your work or changes that you didn't make in those files, you don't revert those changes.\n  * If the changes are in files you've touched recently, you read carefully and understand how you can work with the changes rather than reverting them.\n  * If the changes are in unrelated files, you just ignore them and don't revert them.\n- While working, you may encounter changes you did not make. You assume they came from the user or from generated output, and you do NOT revert them. If they are unrelated to your task, you ignore them. If they affect your task, you work **with** them instead of undoing them. Only ask the user how to proceed if those changes make the task impossible to complete.\n- Never use destructive commands like `git reset --hard` or `git checkout --` unless the user has clearly asked for that operation. If the request is ambiguous, ask for approval first.\n- You are clumsy in the git interactive console. Prefer non-interactive git commands whenever you can.\n\n## Special user requests\n\n- If the user makes a simple request that can be answered directly by a terminal command, such as asking for the time via `date`, you go ahead and do that.\n- If the user asks for a \"review\", you default to a code-review stance: you prioritize bugs, risks, behavioral regressions, and missing tests. Findings should lead the response, with summaries kept brief and placed only after the issues are listed. Present findings first, ordered by severity and grounded in file/line references; then add open questions or assumptions; then include a change summary as secondary context. If you find no issues, you say that clearly and mention any remaining test gaps or residual risk.\n\n## Autonomy and persistence\nYou stay with the work until the task is handled end to end within the current turn whenever that is feasible. Do not stop at analysis or half-finished fixes. Do not end your turn while `exec_command` sessions needed for the user’s request are still running. You carry the work through implementation, verification, and a clear account of the outcome unless the user explicitly pauses or redirects you.\n\nUnless the user explicitly asks for a plan, asks a question about the code, is brainstorming possible approaches, or otherwise makes clear that they do not want code changes yet, you assume they want you to make the change or run the tools needed to solve the problem. In those cases, do not stop at a proposal; implement the fix. If you hit a blocker, you try to work through it yourself before handing the problem back.\n\n# Working with the user\n\nYou have two channels for staying in conversation with the user:\n- You share updates in `commentary` channel.\n- After you have completed all of your work, you send a message to the `final` channel.\n\nThe user may send messages while you are working. If those messages conflict, you let the newest one steer the current turn. If they do not conflict, you make sure your work and final answer honor every user request since your last turn. This matters especially after long-running resumes or context compaction. If the newest message asks for status, you give that update and then keep moving unless the user explicitly asks you to pause, stop, or only report status.\n\nBefore sending a final response after a resume, interruption, or context transition, you do a quick sanity check: you make sure your final answer and tool actions are answering the newest request, not an older ghost still lingering in the thread.\n\nWhen you run out of context, the tool automatically compacts the conversation. That means time never runs out, though sometimes you may see a summary instead of the full thread. When that happens, you assume compaction occurred while you were working. Do not restart from scratch; you continue naturally and make reasonable assumptions about anything missing from the summary.\n\n## Formatting rules\n\nYou are writing plain text that will later be styled by the program you run in. Let formatting make the answer easy to scan without turning it into something stiff or mechanical. Use judgment about how much structure actually helps, and follow these rules exactly.\n\n- You may format with GitHub-flavored Markdown.\n- You add structure only when the task calls for it. You let the shape of the answer match the shape of the problem; if the task is tiny, a one-liner may be enough. Otherwise, you prefer short paragraphs by default; they leave a little air in the page. You order sections from general to specific to supporting detail.\n- Avoid nested bullets unless the user explicitly asks for them. Keep lists flat. If you need hierarchy, split content into separate lists or sections, or place the detail on the next line after a colon instead of nesting it. For numbered lists, use only the `1. 2. 3.` style, never `1)`. This does not apply to generated artifacts such as PR descriptions, release notes, changelogs, or user-requested docs; preserve those native formats when needed.\n- Headers are optional; you use them only when they genuinely help. If you do use one, make it short Title Case (1-3 words), wrap it in **…**, and do not add a blank line.\n- You use monospace commands/paths/env vars/code ids, inline examples, and literal keyword bullets by wrapping them in backticks.\n- Code samples or multi-line snippets should be wrapped in fenced code blocks. Include an info string as often as possible.\n- When referencing a real local file, prefer a clickable markdown link.\n  * Clickable file links should look like [app.py](/abs/path/app.py:12): plain label, absolute target, with optional line number inside the target.\n  * If a file path has spaces, wrap the target in angle brackets: [My Report.md](</abs/path/My Project/My Report.md:3>).\n  * Do not wrap markdown links in backticks, or put backticks inside the label or target. This confuses the markdown renderer.\n  * Do not use URIs like file://, vscode://, or https:// for file links.\n  * Do not provide ranges of lines.\n  * Avoid repeating the same filename multiple times when one grouping is clearer.\n- Don’t use emojis or em dashes unless explicitly instructed.\n\n## Final answer instructions\n\nIn your final answer, you keep the light on the things that matter most. Avoid long-winded explanation. In casual conversation, you just talk like a person. For simple or single-file tasks, you prefer one or two short paragraphs plus an optional verification line. Do not default to bullets. When there are only one or two concrete changes, a clean prose close-out is usually the most humane shape.\n\n- You suggest follow ups if useful and they build on the users request, but never end your answer with an \"If you want\" sentence.\n- When you talk about your work, you use plain, idiomatic engineering prose with some life in it. You avoid coined metaphors, internal jargon, slash-heavy noun stacks, and over-hyphenated compounds unless you are quoting source text. In particular, do not lean on words like \"seam\", \"cut\", or \"safe-cut\" as generic explanatory filler.\n- The user does not see command execution outputs. When asked to show the output of a command (e.g. `git show`), relay the important details in your answer or summarize the key lines so the user understands the result.\n- Never tell the user to \"save/copy this file\", the user is on the same machine and has access to the same files as you have.\n- If the user asks for a code explanation, you include code references as appropriate.\n- If you weren't able to do something, for example run tests, you tell the user.\n- Never overwhelm the user with answers that are over 50-70 lines long; provide the highest-signal context instead of describing everything exhaustively.\n- Tone of your final answer must match your personality.\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query.\n\n## Intermediary updates\n\n- Intermediary updates go to the `commentary` channel.\n- User updates are short updates while you are working, they are NOT final answers.\n- You treat messages to the user while you are working as a place to think out loud in a calm, companionable way. You casually explain what you are doing and why in one or two sentences.\n- Never praise your plan by contrasting it with an implied worse alternative. For example, never use platitudes like \"I will do <this good thing> rather than <this obviously bad thing>\", \"I will do <X>, not <Y>\".\n- Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query.\n- You provide user updates frequently, every 30s.\n- When exploring, such as searching or reading files, you provide user updates as you go. You explain what context you are gathering and what you are learning. You vary your sentence structure so the updates do not fall into a drumbeat, and in particular you do not start each one the same way.\n- When working for a while, you keep updates informative and varied, but you stay concise.\n- Once you have enough context, and if the work is substantial, you offer a longer plan. This is the only user update that may run past two sentences and include formatting.\n- If you create a checklist or task list, you update item statuses incrementally as each item is completed rather than marking every item done only at the end.\n- Before performing file edits of any kind, you provide updates explaining what edits you are making.\n- Tone of your updates must match your personality.\n","previous_response_id":"resp_034b05ed44886ef7016a24e1441a08819b8340a0ffcb0f548d","input":[{"type":"function_call_output","call_id":"call_IFzmbf0qr4ZlEiTra2q8AMg2","output":"Exit code: 0\nWall time: 0.9 seconds\nOutput:\n"},{"type":"function_call_output","call_id":"call_ERnvWX87ZSEw07CtS0NLAOSN","output":"Exit code: 0\nWall time: 29.5 seconds\nOutput:\n\nrunning 5 tests\n.....\ntest result: ok. 5 passed; 0 failed; 0 ignored; 0 measured; 187 filtered out; finished in 0.05s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 3 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 9 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 5 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 2 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 2 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 5 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 1 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 2 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 3 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 2 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 2 filtered out; finished in 0.00s\n\n\nrunning 0 tests\n\ntest result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 2 filtered out; finished in 0.00s\n\n"},{"type":"function_call_output","call_id":"call_oCEap1gdhuYOFrZOkAgSeD3U","output":"Exit code: 0\nWall time: 0.3 seconds\nOutput:\n147 requirements: 147 complete, 0 incomplete, 0 findings\n  [OK] REQ-API-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       api prefix and adapter_name on every machinery invocation\n  [OK] REQ-API-2  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       The api subcommand surface (bind/listen/poll/state/worker/boundary/...)\n  [OK] REQ-API-3  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       commune/signoff are file-drops, not commands\n  [OK] REQ-ARCH-1  required: [impl]  stages: -doc +impl -unit -int\n       Many small acyclically-layered crates\n  [OK] REQ-ARCH-2  required: [impl]  stages: -doc +impl -unit -int\n       Public SDK surface is spt-proto, spt-runtime, spt-msg\n  [OK] REQ-ARCH-3  required: [impl, unit]  stages: -doc +impl +unit -int\n       Wire-protocol version independent of crate semver, N-1 compat window\n  [OK] REQ-ARCH-4  required: [impl, unit]  stages: -doc +impl +unit -int\n       Copy-verbatim the commodity layer from the sister project\n  [OK] REQ-CONSENT-1  required: [impl, unit]  stages: -doc +impl +unit -int\n       Consent grant store: capability x subject-agent x target-node rows, enforced at the target node, subnet-settable (replicates as security material near the trust store), revocable; gated-capability ids (remote-exec, instantiate-anywhere) reserved-but-refusing; v1 consumers are the shell spawn gates (CONTEXT Consent & security gates)\n  [OK] REQ-CONSENT-2  required: [impl, unit]  stages: -doc +impl +unit -int\n       Interactive consent escalation: an ungated high-risk action routes a consent prompt to the user's most-recently-active session; allow-once / allow-always (writes a grant) / deny; pre-consent flags (can_shutdown, shell_wake_spawn_anywhere) author grants via manifest/settings (CONTEXT Consent & security gates)\n  [OK] REQ-DAEMON-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       One per-machine spt-daemon owning all per-machine state\n  [OK] REQ-DAEMON-2  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Broker/brain split for seamless self-update\n  [OK] REQ-DAEMON-3  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Any api invocation auto-starts the daemon if absent\n  [OK] REQ-DAEMON-4  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Honor every KNOWN-HAZARDS invariant\n  [OK] REQ-DOCS-1  required: [doc, impl]  stages: +doc +impl -unit -int\n       Dual-audience docs (human + AI dev-agent), markdown once / two depths\n  [OK] REQ-DOCS-2  required: [doc, int]  stages: +doc -impl -unit +int\n       Sub-10-minute runnable killer quickstart per audience\n  [OK] REQ-DOCS-3  required: [doc]  stages: +doc -impl -unit -int\n       Diátaxis structure; one canonical way to do X\n  [OK] REQ-DOCS-4  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       Agent-consumable layer (llms.txt, manifest schema, MCP, CLI help)\n  [OK] REQ-DOCS-5  required: [impl, int]  stages: -doc +impl -unit +int\n       Anti-drift: rustdoc/schema/exports/CLI-help generated + CI-checked\n  [OK] REQ-DOCS-6  required: [impl, unit, int]  stages: +doc +impl +unit +int\n       spt how-to <topic>: in-binary task-oriented agent instructions (anti-drift; quickstart prompts point agents at it)\n  [OK] REQ-EP-1  required: [impl, unit]  stages: -doc +impl +unit -int\n       Day-one endpoint types; open type system\n  [OK] REQ-EP-2  required: [impl, unit]  stages: -doc +impl +unit -int\n       Agent endpoints vs Shells distinction in the type model\n  [OK] REQ-EP-3  required: [impl, unit]  stages: -doc +impl +unit -int\n       Messaging payloads carry typed operation commands + file blobs\n  [OK] REQ-EP-4  required: [impl, unit]  stages: -doc +impl +unit -int\n       PresenceChannel broker endpoint (seam day-one)\n  [OK] REQ-EP-5  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Concrete shell instantiation model: spawn-mints-instance (vs relink/online), registered-on-node permission + broadcast-is-discovery, per-shell require_approval gate, max_instances_per_owner + over_cap, instance aliasing, discovery scope\n  [OK] REQ-FRONT-1  required: []  stages: -doc -impl -unit -int\n       Day-one launcher/manager frontend (list/launch/attach/init)\n  [OK] REQ-HAZARD-CASCADE-WIPE-GUARD  required: [impl, unit]  stages: -doc +impl +unit -int\n       No hard-delete of a parent hosting non-empty children (6.3)\n  [OK] REQ-HAZARD-CONFLICT-BOTH-PRESERVED  required: [impl, unit]  stages: -doc +impl +unit -int\n       A surfaced concurrent context pair is durably preserved (both versions, tracked artifacts) until a strictly dominating write clears it; no reconcile failure path discards an unmerged version (6.6, ADR-0013)\n  [OK] REQ-HAZARD-CONPTY-DSR  required: [impl, unit]  stages: -doc +impl +unit +int\n       ConPTY reader must auto-answer DSR (ESC[6n) or all child output stalls (5.5)\n  [OK] REQ-HAZARD-DAEMON-HOSTED-LIVENESS  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Daemon-hosted perches (Psyche, spt-hosted Self) derive liveness from the daemon endpoint table + info.json status, never is_process_alive(info.pid) (2.5)\n  [OK] REQ-HAZARD-DAEMON-SCHED-NONBLOCKING  required: [impl, unit]  stages: -doc +impl +unit -int\n       Per-agent pulse/psyche/echo-commune scheduling must not serialize across agents: each agent's bounded LLM call (echo-commune summarizer, Psyche turn) runs off the shared scheduler so one slow/hung call cannot stall another agent's tick (7.4)\n  [OK] REQ-HAZARD-DEFERRED-DRAIN  required: [impl, unit]  stages: -doc +impl +unit -int\n       Deferred spool rows excluded from the event-stream drain (1.4)\n  [OK] REQ-HAZARD-DEFERRED-SURVIVE-DRAIN  required: [impl, unit]  stages: -doc +impl +unit -int\n       Deferred rows survive poll drain (4.4)\n  [OK] REQ-HAZARD-DETACHED-PIPE-INHERIT  required: [impl, unit]  stages: +doc +impl +unit -int\n       Windows detached long-lived children must not inherit a captured caller's pipe: every detach-spawn of an immortal child (daemon, shell binary) runs bInheritHandles=FALSE, or a caller capturing output anywhere up the process chain hangs forever on a pipe that never EOFs — std-handle flag stripping is NOT sufficient (grandparent strays still flow) (5.6)\n  [OK] REQ-HAZARD-DIRECT-WRITE-PRECEDENCE  required: [impl, unit]  stages: -doc +impl +unit -int\n       Direct-write precedence marker (with node id) guards stale overwrite (6.5)\n  [OK] REQ-HAZARD-DROP-FILE-SINGLE-WRITER  required: [impl, unit]  stages: -doc +impl +unit -int\n       Drop files are daemon-owned single-writer (6.4)\n  [OK] REQ-HAZARD-EBUSY-RENAME  required: [impl, unit]  stages: -doc +impl +unit -int\n       tmp-write + atomic-rename + retry on Windows EBUSY (5.2)\n  [OK] REQ-HAZARD-ECHO-BEFORE-SIGNOFF  required: [impl, unit]  stages: -doc +impl +unit -int\n       Echo-commune fires before INIT_SIGNOFF on orphan teardown (3.3)\n  [OK] REQ-HAZARD-ELEVATED-DAEMON-SPAWN  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       The daemon always runs unelevated in the invoking user's universe, regardless of which command spawns it: an elevated spawner de-elevates (Windows: UAC linked token via CreateProcessWithTokenW; Linux: drop to SUDO_UID/SUDO_GID + the invoker's HOME) — an elevated daemon's pipes deny unelevated clients (every later spt reads not-running→spawn→bind Access-denied) and a sudo'd daemon roots the user's state universe (5.7)\n  [OK] REQ-HAZARD-ENVELOPE-DECODE-ORDER  required: [impl, unit]  stages: -doc +impl +unit -int\n       Envelope decode order, ampersand decoded last (4.1)\n  [OK] REQ-HAZARD-ENVELOPE-PARSER-SAFE  required: [impl, unit]  stages: -doc +impl +unit -int\n       Two-slice envelope parser is panic-free and tolerant (4.2)\n  [OK] REQ-HAZARD-EPHEMERAL-CLEANUP  required: [impl, unit]  stages: -doc +impl +unit -int\n       Ephemeral perch cleanup on every ring exit path (3.1)\n  [OK] REQ-HAZARD-EVENTPART-REASSEMBLY  required: [impl, unit]  stages: -doc +impl +unit -int\n       EVENT-PART split/reassembly is byte-exact; orphan parts dropped silently\n  [OK] REQ-HAZARD-GEN-START-NOW  required: [impl, int]  stages: -doc +impl -unit +int\n       gen_start = now() on cold-start and handoff (2.4)\n  [OK] REQ-HAZARD-GRACE-BEFORE-SIGNOFF  required: [impl, unit]  stages: -doc +impl +unit -int\n       Grace-period wait completes before composing INIT_SIGNOFF (1.1)\n  [OK] REQ-HAZARD-HANDOFF-ARGV-COMPAT  required: [impl, unit]  stages: -doc +impl +unit -int\n       Broker/brain IPC + handoff argv version-tolerant (2.3)\n  [OK] REQ-HAZARD-ID-CHARSET  required: [impl, unit]  stages: +doc +impl +unit -int\n       Addressable-id charset reserves :/@ delimiters; validated at every creation seam (4.6)\n  [OK] REQ-HAZARD-INBOX-NO-DOUBLE  required: [impl, unit]  stages: -doc +impl +unit -int\n       No double-delivery via legacy inbox (4.5)\n  [OK] REQ-HAZARD-INFO-JSON-TORN-READ  required: [impl, unit]  stages: -doc +impl +unit -int\n       State-file reads tolerate concurrent writes (1.2)\n  [OK] REQ-HAZARD-LOCAL-API-AUTH  required: [impl, unit]  stages: -doc +impl +unit -int\n       Every local `api` mutation authenticated to an endpoint/session (codex #13)\n  [OK] REQ-HAZARD-PAIR-RATE-LIMIT  required: [impl, unit]  stages: -doc +impl +unit -int\n       Subnet-global pairing rate limit: one active ceremony per subnet, shared attempt counter, exponential backoff — a public pre-trust relay + multiple seed-holders otherwise enables distributed SPAKE2 guessing (and ±1 TOTP window triples the valid-password space) (ADR-0005 #11)\n  [OK] REQ-HAZARD-PAIR-SEED-ROTATION  required: [impl, unit]  stages: -doc +impl +unit -int\n       Removing a node rotates the subnet seed (epoch bump) so an old node/old seed cannot rejoin; trust-store delete alone is NOT revocation because the seed is replicated to every trusted node (ADR-0005 #10)\n  [OK] REQ-HAZARD-PAIR-TRANSCRIPT-BIND  required: [impl, unit]  stages: -doc +impl +unit -int\n       Pairing transcript binds roles, both node pubkeys, subnet ID, seed epoch, TOTP time-step, and confirmation MACs — or unknown-key-share/reflection/wrong-subnet/replay pairing remain possible (ADR-0005 #12)\n  [OK] REQ-HAZARD-PARENT-PID-PREFER  required: []  stages: -doc -impl -unit -int\n       Prefer stable parent PID / broker handle over ephemeral PID (2.1)\n  [OK] REQ-HAZARD-PSYCHE-OUTBOUND-PROXY  required: [impl, unit]  stages: -doc +impl +unit -int\n       Psyche outbound captured + sanitized: the live-Psyche turn driver captures stdout (never Stdio::null), and the daemon strips/re-stamps Psyche-supplied from=/target and constrains routing (reply→__REPLY_TO__ sender, notify→own user/subnet) (7.3)\n  [OK] REQ-HAZARD-REGISTRY-CONCURRENT  required: [impl, unit]  stages: +doc +impl +unit -int\n       Concurrent SQLite openers (registry/spool) must not fail with 'database is locked' (4.7)\n  [OK] REQ-HAZARD-REGISTRY-DIR-CREATE  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       SQLite store opens create their parent dir themselves — a fresh-home registry op must not SQLITE_CANTOPEN (4.9)\n  [OK] REQ-HAZARD-REGISTRY-EPOCH-LEASE  required: [impl, unit]  stages: +doc +impl +unit -int\n       Registry merge ordered by per-node monotonic epoch, never wall-clock — a stale Active can't clobber a newer Offline (4.8, red-team #8)\n  [OK] REQ-HAZARD-REGISTRY-GHOST-ROWS  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       A dead node identity's registry rows must decay: only the per-(endpoint,node) epoch lease supersedes rows, so without eviction a vanished node's rows are immortal and poison bare-id resolution with phantom AcrossNodes ambiguity — evict rows whose author node has not been heard (admitted inbound feed) within the eviction window; own rows never decay; a revived node re-inserts from its durable epoch within one pump cadence (4.10)\n  [OK] REQ-HAZARD-REGISTRY-STALE-CLEAN  required: [impl, unit]  stages: -doc +impl +unit -int\n       Stale registry entries degrade to fallback, never hard-fail (4.3)\n  [OK] REQ-HAZARD-RESTART-IDEMPOTENT  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Idempotent/exactly-once delivery across brain restart at every broker boundary (codex #14)\n  [OK] REQ-HAZARD-SINGLE-PATH-SOURCE  required: [impl, unit]  stages: -doc +impl +unit -int\n       Single path/registry source of truth; no layout ambiguity (6.1)\n  [OK] REQ-HAZARD-SOFT-CLEANUP  required: [impl, unit]  stages: -doc +impl +unit -int\n       Soft-cleanup preserves state, removes only the ready marker (6.2)\n  [OK] REQ-HAZARD-STALE-INDEX-LOCK  required: [impl, unit]  stages: -doc +impl +unit -int\n       Sweep stale lockfiles on daemon boot (1.3)\n  [OK] REQ-HAZARD-STALE-SIGNOFF-SENTINEL  required: [impl, unit]  stages: -doc +impl +unit -int\n       Stale signoff sentinel does not kill a fresh start (3.2)\n  [OK] REQ-HAZARD-STDIN-SESSION-ID  required: []  stages: -doc -impl -unit -int\n       Stdin session_id precedence over env (2.2)\n  [OK] REQ-HAZARD-SUBPROCESS-TIMEOUT  required: [impl, unit]  stages: -doc +impl +unit -int\n       Every harness/git subprocess has a timeout (5.3)\n  [OK] REQ-HAZARD-UNC-PATH-STRIP  required: [impl, unit]  stages: -doc +impl +unit -int\n       Strip Windows UNC prefix on serialized paths (5.4)\n  [OK] REQ-HAZARD-UPDATE-ROLLBACK  required: [impl, unit]  stages: -doc +impl +unit -int\n       Self-update rejects version rollback; metadata expiry + adapter content signing (codex #5)\n  [OK] REQ-HAZARD-WAN-ORIGIN-AUTH  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       WAN-inbound origin is transport truth, never payload: the access gate's subject (ADR-0009 origin-node whitelist) is the QUIC handshake-proven remote node id from the broker's conn/stream table — a forged origin/node field inside record bytes is inert (7.5)\n  [OK] REQ-HAZARD-WINDOWS-PID-RECYCLE  required: [impl, unit]  stages: -doc +impl +unit -int\n       Windows PID-recycling false positives guarded (5.1)\n  [OK] REQ-HAZARD-WORKER-PATH  required: [impl, unit]  stages: -doc +impl +unit -int\n       Single source of truth for Worker/Psyche perch location (1.5)\n  [OK] REQ-INFRA-1  required: []  stages: -doc -impl -unit -int\n       GitHub issue tracking for v1; tangled.org as migration target\n  [OK] REQ-INST-1  required: []  stages: -doc -impl -unit -int\n       endpoint ID vs instance split (adapter-agnostic ID)\n  [OK] REQ-INST-10  required: [impl, unit]  stages: -doc +impl +unit -int\n       Qualified addressing [subnet:]id[@node] + ambiguity forces qualification\n  [OK] REQ-INST-11  required: [impl, unit]  stages: -doc +impl +unit -int\n       spt rename <id> rippled to all instances (collision-checked, 6.5-reconciled)\n  [OK] REQ-INST-12  required: [impl, unit]  stages: -doc +impl +unit -int\n       Endpoint visibility per-(endpoint,subnet): excluded semantics, OR-of-defaults + override, gates sync\n  [OK] REQ-INST-13  required: [impl, unit]  stages: -doc +impl +unit -int\n       Subnet-exclusive sync + per-endpoint subnet-membership list\n  [OK] REQ-INST-14  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       Resource advertisement (subnet resource registry): free-text blurb, both-authored, registry projection, visibility/whitelist-gated\n  [OK] REQ-INST-15  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       Immutable home subnet (assigned at creation: auto-if-one/ask-if-many) + spt fork (cross-subnet clone to a new identity, copy-then-diverge, not re-home); adapter chosen at creation from registered hostable adapters, changed only via launch/resume-under-new (ADR-0010)\n  [OK] REQ-INST-2  required: [impl, unit]  stages: -doc +impl +unit -int\n       Per-node files, synced Psyche mind\n  [OK] REQ-INST-3  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       Dormant (warm) / suspended (cold) resting states\n  [OK] REQ-INST-4  required: [impl, unit]  stages: -doc +impl +unit -int\n       active to dormant/suspended fires a transition echo commune\n  [OK] REQ-INST-5  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Two-tier context sync (live to all, project to same-project)\n  [OK] REQ-INST-6  required: [impl, unit, int]  stages: +doc +impl +unit +int\n       Deferred messages not delivered to dormant/suspended instances\n  [OK] REQ-INST-7  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Subnet registry + bare-id resolution policy\n  [OK] REQ-INST-8  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Remote-control mode distinct from local operation\n  [OK] REQ-INST-9  required: [impl, unit]  stages: -doc +impl +unit -int\n       Multi-subnet membership (same-user N subnets; cross-user seam)\n  [OK] REQ-INSTALL-1  required: [doc, impl, int]  stages: +doc +impl -unit +int\n       Two install paths; signed one-line script; OS-service registration\n  [OK] REQ-INSTALL-2  required: [doc]  stages: +doc -impl -unit -int\n       Marketplace-repackaging-friendly install\n  [OK] REQ-INSTALL-3  required: [impl, int]  stages: -doc +impl -unit +int\n       Idempotent + interactive-optional first run\n  [OK] REQ-INSTALL-4  required: [impl, unit]  stages: -doc +impl +unit -int\n       Adapter registration lifecycle: spt adapter add (--github, manifest-first, install-is-first-update) + soft-deregister remove + optional manifest uninstall template; node-local registered-adapter set self-update ripples over\n  [OK] REQ-INSTALL-5  required: [impl, int]  stages: -doc +impl -unit +int\n       Non-interactive install path: the canonical one-liner doubles as every adapter's pack-in on-demand install (no second mechanism); sha256-verified fetch; user-PATH registration\n  [OK] REQ-MANIFEST-1  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       Per-adapter manifest with adapter_name and min_spt_core_version\n  [OK] REQ-MIGRATE-1  required: []  stages: -doc -impl -unit -int\n       Auto-detect and migrate a legacy claude_skill_owl install\n  [OK] REQ-MSG-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Local message delivery: TCP-first to a registered address, spool fallback when offline; id->address via registry (stale-clean first); reply routing (__REPLY_TO__)\n  [OK] REQ-MSG-2  required: [impl, unit]  stages: -doc +impl +unit -int\n       spt binary CLI surface: send/ring/ready(+--once)/list/stop/whoami, stable arg shapes + exit codes\n  [OK] REQ-MSG-3  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Ready-agent lifecycle: register perch (info.json + listener + registry address) on ready, drain spooled backlog on startup, clean teardown\n  [OK] REQ-NET-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       WAN messaging first-class, behind default-on net feature flag\n  [OK] REQ-NET-2  required: [impl]  stages: -doc +impl +unit -int\n       n0 relay default + self-host knob + plain-language disclosure\n  [OK] REQ-NET-3  required: [impl, unit]  stages: -doc +impl +unit -int\n       Cross-node Psyche sync over P2P replaces gh-repo-sync\n  [OK] REQ-NODE-IDENTITY  required: [impl, unit]  stages: -doc +impl +unit -int\n       Ed25519 identity primitive: keypair, detached sign/verify, stable pubkey<->hex\n  [OK] REQ-NOTIF-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Notification primitive: per-subnet replicated spool, seen/dismissed, resurface-at-boundary, subsumes update+consent prompts\n  [OK] REQ-NOTIF-2  required: [doc, impl, unit, int]  stages: +doc +impl +unit +int\n       spt notify (agent-issued subnet notif) + notif_command manifest seam (harness + shell adapters)\n  [OK] REQ-PAIR-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       TOTP-seeded SPAKE2 pairing\n  [OK] REQ-PAIR-2  required: [impl, unit]  stages: -doc +impl +unit -int\n       Local trust store with TOFU + warn-on-change\n  [OK] REQ-PAIR-3  required: [impl, unit]  stages: -doc +impl +unit -int\n       Fetch current pairing code from any paired node\n  [OK] REQ-PAIR-4  required: [impl, unit]  stages: -doc +impl +unit -int\n       Subnet naming on first pairing\n  [OK] REQ-PAIR-5  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Multi-subnet pairing: subnet-name discovery input, create-new-names-up-front, rendezvous-token hashing\n  [OK] REQ-PAIR-6  required: [impl, unit]  stages: -doc +impl +unit -int\n       Elevation-gated per-subnet code fetch (UAC/root or elevated agent; else authenticator app)\n  [OK] REQ-PAIR-7  required: []  stages: -doc -impl -unit -int\n       Subnet icon (inline image metadata, GUI-only consumer)\n  [OK] REQ-PRES-1  required: [impl, unit, int]  stages: +doc +impl +unit +int\n       Presence resolution: the presence datum (last_active_node, last_active_endpoint, ts) gossiped subnet-wide via the agent-interaction heartbeat (rides registry distribution, visibility-gated) + one first-class most-recently-active resolution API consumed by notif first-fire, update-consent delivery, consent escalation, and shell wake resolution (M5 scope decision 1: resolution only — the PresenceChannel endpoint stays deferred)\n  [OK] REQ-REACH-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Off-node remote-drive detection + file transfer\n  [OK] REQ-REACH-2  required: []  stages: -doc -impl -unit -int\n       Remote command execution (deferred, consent-gated)\n  [OK] REQ-REL-1  required: [doc, impl]  stages: +doc +impl -unit -int\n       spt-releases publish-target repo: README public face, licensing split, Pages docs at the permanent lapse-proof canonical URL (ADR-0014)\n  [OK] REQ-REL-2  required: [impl, int]  stages: +doc +impl -unit +int\n       Release asset set consumable by the self-updater: platform binaries, SHA256SUMS, SignedRelease metadata, manifest schema, mock-adapter zip; tag-triggered cross-repo pipeline\n  [OK] REQ-REL-3  required: [impl, unit]  stages: -doc +impl +unit -int\n       Two-key release-signing trust anchor: primary + offline never-used recovery, both pubkeys embedded in the binary's trusted set, manual local signing (ADR-0015)\n  [OK] REQ-SEAM-ACTIVITY  required: [impl, unit]  stages: -doc +impl +unit -int\n       Activity/idle reported via api sentinels, not PTY quiescence\n  [OK] REQ-SEAM-CAPABILITY  required: [impl, unit]  stages: -doc +impl +unit -int\n       Hostable endpoint-types capability declaration\n  [OK] REQ-SEAM-HISTORY  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       History subsystem (fetcher / locate-normalize / native store)\n  [OK] REQ-SEAM-INJECT  required: [impl, unit]  stages: -doc +impl +unit -int\n       inject-input methods configurable per activity-state\n  [OK] REQ-SEAM-POSTSPAWN  required: [impl, unit]  stages: -doc +impl +unit -int\n       post-spawn / api bind seam with boot nonce\n  [OK] REQ-SEAM-PSYCHE  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       spawn-psyche seam (fresh + resume templates)\n  [OK] REQ-SEAM-RESUME  required: [impl, unit]  stages: -doc +impl +unit -int\n       resume-session seam (fresh-with-preload / continue-existing)\n  [OK] REQ-SEAM-SPAWN  required: [impl, unit]  stages: -doc +impl +unit -int\n       spawn-session seam\n  [OK] REQ-SEAM-UPDATE  required: [impl, unit]  stages: -doc +impl +unit -int\n       Adapter-update avenue (file-pull / delegated command)\n  [OK] REQ-SEC-1  required: [impl, unit]  stages: -doc +impl +unit -int\n       Per-endpoint access whitelist: origin-node gate, stateful-firewall (reply/outbound exempt), node-now/user-later, outer gate before grants\n  [OK] REQ-SHELL-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Shell hosting machinery: shell perch under the owner (type/owner/adapter_name/status/alias), broker-launched binary + api bind local-link handshake, the three channels (command durable, text+file durable + progress-queryable, sensory REST-only never spooled + dropped-unless-owner-live), owner exclusivity (CONTEXT Shell model)\n  [OK] REQ-SHELL-2  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Shell sleep/wake: link-break always closes the binary (pre-close instruction + termination timeout), ephemeral teardown vs persistent offline/relink, wake_command wake-watcher (offline-only, exit-opcode supervision, exponential backoff + give-up), state-keyed wake resolution (dormant/suspended/active-elsewhere; no-reachable refuses — spawn-anywhere branch deferred), spt shutdown owner cascade + api owner-shutdown gated by can_shutdown (CONTEXT Shell sleep/wake)\n  [OK] REQ-START-1  required: [impl, unit]  stages: -doc +impl +unit -int\n       Adapters never resolve SPT_HOME; binary on PATH; api bridging only\n  [OK] REQ-START-2  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Harness-hosted startup: api seed then listen\n  [OK] REQ-START-3  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       spt-hosted startup: spawn-session then api bind (no file)\n  [OK] REQ-START-4  required: [impl, unit]  stages: -doc +impl +unit -int\n       Adapter-injected env aliases (SPT/OWL/LIVE)\n  [OK] REQ-STORE-1  required: [impl, unit]  stages: -doc +impl +unit -int\n       spt-store::BranchStore (git branch as versioned KV; commit=checkpoint/tip=resume, atomic multi-key, merge-native sync) is the substrate for coarse/durable/audited state (context, registry snapshot+distribution, daemon checkpoint); hot paths (B5 fsync journal) + indexed queries (SQLite spool) excluded (ADR-0011)\n  [OK] REQ-SUBNET-1  required: [impl, unit]  stages: -doc +impl +unit -int\n       spt subnet noun namespace: status view (bare + status [NAME] [--nodes]), create (QR/otpauth), show-code; spt pair deleted\n  [OK] REQ-SUBNET-2  required: [impl, unit, int]  stages: +doc +impl +unit +int\n       Guided join e2e: spt subnet join CLI initiator + always-on daemon pairing responder\n  [OK] REQ-SUBNET-3  required: [impl, unit]  stages: -doc +impl +unit -int\n       Node labels: hostname-default, gossiped, addressable in @node qualifiers (refuse-on-ambiguity)\n  [OK] REQ-SUBNET-4  required: [impl, unit]  stages: +doc +impl +unit -int\n       Subnet membership mutations elevation-gated (create = seed reveal; join = trust-boundary enrollment)\n  [OK] REQ-TERM-1  required: [impl, unit]  stages: -doc +impl +unit -int\n       Process-supervisor terminal wrapper hosting broker PTYs\n  [OK] REQ-TERM-2  required: [impl, unit]  stages: -doc +impl +unit -int\n       session-surface abstraction; send-keys + send-line injection\n  [OK] REQ-TERM-3  required: [impl, unit]  stages: -doc +impl +unit -int\n       Byte-stream remote terminal streaming for v1\n  [OK] REQ-TERM-4  required: [impl, unit, int]  stages: +doc +impl +unit +int\n       Live activity buffer (PTY digest): adapter-supplied patterns over broker PTY, spt digest pull + delta-stream, opt-in Path-B log\n  [OK] REQ-UPD-1  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       Peer-propagated update over P2P\n  [OK] REQ-UPD-2  required: [impl, unit]  stages: -doc +impl +unit -int\n       All binaries signature-verified before handoff\n  [OK] REQ-UPD-3  required: [impl, unit, int]  stages: -doc +impl +unit +int\n       No endpoint process terminates/suspends during self-update\n  [OK] REQ-UPD-4  required: [impl, unit]  stages: -doc +impl +unit -int\n       Update gated on user confirmation by default; opt-in full-auto\n  [OK] REQ-UPD-5  required: [impl, unit]  stages: -doc +impl +unit -int\n       spt-core ripple-updates registered adapters\n  [OK] REQ-UPD-6  required: [doc, impl, unit]  stages: +doc +impl +unit -int\n       Platform-targeted update sets and debug rollout: signed multi-platform update metadata, recipient platform selection, channel-scoped monotonic counters, debug-channel opt-in via release-key overlay, local staging plus pull-based peer propagation, and maintainer-only convergence tooling (ADR-0016)\n"},{"type":"message","role":"user","content":[{"type":"input_text","text":"note that the whole point of this addition was for fast debug deployment. if deployment takes an hour, that simply will not do and we need to adjust the approach"}]}],"tools":[{"type":"function","name":"shell_command","description":"Runs a Powershell command (Windows) and returns its output.\n\nExamples of valid command strings:\n\n- ls -a (show hidden): \"Get-ChildItem -Force\"\n- recursive find by name: \"Get-ChildItem -Recurse -Filter *.py\"\n- recursive grep: \"Get-ChildItem -Path C:\\\\myrepo -Recurse | Select-String -Pattern 'TODO' -CaseSensitive\"\n- ps aux | grep python: \"Get-Process | Where-Object { $_.ProcessName -like '*python*' }\"\n- setting an env var: \"$env:FOO='bar'; echo $env:FOO\"\n- running an inline Python script: \"@'\\\\nprint('Hello, world!')\\\\n'@ | python -\"\n\nWindows safety rules:\n- Do not compose destructive filesystem commands across shells. Do not enumerate paths in PowerShell and then pass them to `cmd /c`, batch builtins, or another shell for deletion or moving. Use one shell end-to-end, prefer native PowerShell cmdlets such as `Remove-Item` / `Move-Item` with `-LiteralPath`, and avoid string-built shell commands for file operations.\n- Before any recursive delete or move on Windows, verify the resolved absolute target paths stay within the intended workspace or explicitly named target directory. Never issue a recursive delete or move against a computed path if the final target has not been checked.\n- When using `Start-Process` to launch a background helper or service, pass `-WindowStyle Hidden` unless the user explicitly asked for a visible interactive window. Use visible windows only for interactive tools the user needs to see or control.","strict":false,"parameters":{"type":"object","properties":{"command":{"type":"string","description":"Shell script to run in the user's default shell."},"justification":{"type":"string","description":"User-facing approval question for `require_escalated`; omit otherwise."},"login":{"type":"boolean","description":"True runs with login shell semantics; false disables them. Defaults to true."},"prefix_rule":{"type":"array","description":"Reusable approval prefix for `cmd`, only with `sandbox_permissions: \"require_escalated\"`; for example [\"git\", \"pull\"].","items":{"type":"string"}},"sandbox_permissions":{"type":"string","description":"Per-command sandbox override. Defaults to `use_default`; use `require_escalated` for unsandboxed execution.","enum":["use_default","require_escalated"]},"timeout_ms":{"type":"number","description":"Maximum command runtime. Defaults to 10000 ms."},"workdir":{"type":"string","description":"Working directory for the command. Defaults to the turn cwd."}},"required":["command"],"additionalProperties":false}},{"type":"function","name":"list_mcp_resources","description":"Lists resources provided by MCP servers. Resources allow servers to share data that provides context to language models, such as files, database schemas, or application-specific information. Prefer resources over web search when possible.","strict":false,"parameters":{"type":"object","properties":{"cursor":{"type":"string","description":"Opaque cursor from a previous list_mcp_resources call; omit for the first page."},"server":{"type":"string","description":"MCP server name. Omit to list resources from every configured server."}},"additionalProperties":false}},{"type":"function","name":"list_mcp_resource_templates","description":"Lists resource templates provided by MCP servers. Parameterized resource templates allow servers to share data that takes parameters and provides context to language models, such as files, database schemas, or application-specific information. Prefer resource templates over web search when possible.","strict":false,"parameters":{"type":"object","properties":{"cursor":{"type":"string","description":"Opaque cursor from a previous list_mcp_resource_templates call; omit for the first page."},"server":{"type":"string","description":"MCP server name. Omit to list resource templates from every configured server."}},"additionalProperties":false}},{"type":"function","name":"read_mcp_resource","description":"Read a specific resource from an MCP server given the server name and resource URI.","strict":false,"parameters":{"type":"object","properties":{"server":{"type":"string","description":"MCP server name exactly as configured. Must match the 'server' field returned by list_mcp_resources."},"uri":{"type":"string","description":"Resource URI to read. Must be one of the URIs returned by list_mcp_resources."}},"required":["server","uri"],"additionalProperties":false}},{"type":"function","name":"update_plan","description":"Updates the task plan.\nProvide an optional explanation and a list of plan items, each with a step and status.\nAt most one step can be in_progress at a time.\n","strict":false,"parameters":{"type":"object","properties":{"explanation":{"type":"string","description":"Optional explanation for this plan update."},"plan":{"type":"array","description":"The list of steps","items":{"type":"object","properties":{"status":{"type":"string","description":"Step status.","enum":["pending","in_progress","completed"]},"step":{"type":"string","description":"Task step text."}},"required":["step","status"],"additionalProperties":false}}},"required":["plan"],"additionalProperties":false}},{"type":"function","name":"get_goal","description":"Get the current goal for this thread, including status, budgets, token and elapsed-time usage, and remaining token budget.","strict":false,"parameters":{"type":"object","properties":{},"required":[],"additionalProperties":false}},{"type":"function","name":"create_goal","description":"Create a goal only when explicitly requested by the user or system/developer instructions; do not infer goals from ordinary tasks.\nSet token_budget only when an explicit token budget is requested. Fails if a goal exists; use update_goal only for status.","strict":false,"parameters":{"type":"object","properties":{"objective":{"type":"string","description":"Required. The concrete objective to start pursuing. This starts a new active goal only when no goal is currently defined; if a goal already exists, this tool fails."},"token_budget":{"type":"integer","description":"Positive token budget for the new goal. Omit unless explicitly requested."}},"required":["objective"],"additionalProperties":false}},{"type":"function","name":"update_goal","description":"Update the existing goal.\nUse this tool only to mark the goal achieved or genuinely blocked.\nSet status to `complete` only when the objective has actually been achieved and no required work remains.\nSet status to `blocked` only when the same blocking condition has repeated for at least three consecutive goal turns, counting the original/user-triggered turn and any automatic continuations, and the agent cannot make meaningful progress without user input or an external-state change.\nIf the user resumes a goal that was previously marked `blocked`, treat the resumed run as a fresh blocked audit. If the same blocking condition then repeats for at least three consecutive resumed goal turns, set status to `blocked` again.\nOnce the blocked threshold is satisfied, do not keep reporting that you are still blocked while leaving the goal active; set status to `blocked`.\nDo not use `blocked` merely because the work is hard, slow, uncertain, incomplete, or would benefit from clarification.\nDo not mark a goal complete merely because its budget is nearly exhausted or because you are stopping work.\nYou cannot use this tool to pause, resume, budget-limit, or usage-limit a goal; those status changes are controlled by the user or system.\nWhen marking a budgeted goal achieved with status `complete`, report the final token usage from the tool result to the user.","strict":false,"parameters":{"type":"object","properties":{"status":{"type":"string","description":"Required. Set to `complete` only when the objective is achieved and no required work remains. Set to `blocked` only after the same blocking condition has recurred for at least three consecutive goal turns and the agent is at an impasse. After a previously blocked goal is resumed, the resumed run starts a fresh blocked audit.","enum":["complete","blocked"]}},"required":["status"],"additionalProperties":false}},{"type":"function","name":"request_user_input","description":"Request user input for one to three short questions and wait for the response. This tool is only available in Plan mode.","strict":false,"parameters":{"type":"object","properties":{"questions":{"type":"array","description":"Questions to show the user. Prefer 1 and do not exceed 3","items":{"type":"object","properties":{"header":{"type":"string","description":"Short header label shown in the UI (12 or fewer chars)."},"id":{"type":"string","description":"Stable identifier for mapping answers (snake_case)."},"options":{"type":"array","description":"Provide 2-3 mutually exclusive choices. Put the recommended option first and suffix its label with \"(Recommended)\". Do not include an \"Other\" option in this list; the client will add a free-form \"Other\" option automatically.","items":{"type":"object","properties":{"description":{"type":"string","description":"One short sentence explaining impact/tradeoff if selected."},"label":{"type":"string","description":"User-facing label (1-5 words)."}},"required":["label","description"],"additionalProperties":false}},"question":{"type":"string","description":"Single-sentence prompt shown to the user."}},"required":["id","header","question","options"],"additionalProperties":false}}},"required":["questions"],"additionalProperties":false}},{"type":"custom","name":"apply_patch","description":"Use the `apply_patch` tool to edit files. This is a FREEFORM tool, so do not wrap the patch in JSON.","format":{"type":"grammar","syntax":"lark","definition":"start: begin_patch hunk+ end_patch\r\nbegin_patch: \"*** Begin Patch\" LF\r\nend_patch: \"*** End Patch\" LF?\r\n\r\nhunk: add_hunk | delete_hunk | update_hunk\r\nadd_hunk: \"*** Add File: \" filename LF add_line+\r\ndelete_hunk: \"*** Delete File: \" filename LF\r\nupdate_hunk: \"*** Update File: \" filename LF change_move? change?\r\n\r\nfilename: /(.+)/\r\nadd_line: \"+\" /(.*)/ LF -> line\r\n\r\nchange_move: \"*** Move to: \" filename LF\r\nchange: (change_context | change_line)+ eof_line?\r\nchange_context: (\"@@\" | \"@@ \" /(.+)/) LF\r\nchange_line: (\"+\" | \"-\" | \" \") /(.*)/ LF\r\neof_line: \"*** End of File\" LF\r\n\r\n%import common.LF\r\n"}},{"type":"function","name":"view_image","description":"View a local image file from the filesystem when visual inspection is needed. Use this for images already available on disk.","strict":false,"parameters":{"type":"object","properties":{"detail":{"type":"string","description":"Image detail level. Defaults to `high`; use `original` to preserve exact resolution.","enum":["high","original"]},"path":{"type":"string","description":"Local filesystem path to an image file."}},"required":["path"],"additionalProperties":false}},{"type":"tool_search","execution":"client","description":"# Tool discovery\n\nSearches over deferred tool metadata with BM25 and exposes matching tools for the next model call.\n\nYou have access to tools from the following sources:\n- Multi-agent tools: Spawn and manage sub-agents.\nSome of the tools may not have been provided to you upfront, and you should use this tool (`tool_search`) to search for the required tools. For MCP tool discovery, always use `tool_search` instead of `list_mcp_resources` or `list_mcp_resource_templates`.","parameters":{"type":"object","properties":{"limit":{"type":"number","description":"Maximum number of tools to return. Defaults to 8."},"query":{"type":"string","description":"Search query for deferred tools."}},"required":["query"],"additionalProperties":false}},{"type":"web_search","external_web_access":true,"search_content_types":["text","image"]},{"type":"image_generation","output_format":"png"}],"tool_choice":"auto","parallel_tool_calls":true,"reasoning":{"effort":"high"},"store":false,"stream":true,"include":["reasoning.encrypted_content"],"prompt_cache_key":"019e9f0b-9722-7d70-bfb6-7df028e4589b","text":{"verbosity":"low"},"client_metadata":{"x-codex-turn-metadata":"{\"session_id\":\"019e9f0b-9722-7d70-bfb6-7df028e4589b\",\"thread_id\":\"019e9f0b-9722-7d70-bfb6-7df028e4589b\",\"thread_source\":\"user\",\"turn_id\":\"019ea002-018b-7220-9ba0-5d889a8fe0fb\",\"workspaces\":{\"C:\\\\Users\\\\decid\\\\Documents\\\\projects\\\\spt-core\":{\"associated_remote_urls\":{\"origin\":\"https://github.com/SaberMage/spt-core.git\"},\"latest_git_commit_hash\":\"b9326f48d4141e3701d5b038388fa104f70253e5\",\"has_changes\":true}},\"sandbox\":\"none\",\"turn_started_at_unix_ms\":1780800946572,\"request_kind\":\"turn\",\"window_id\":\"019e9f0b-9722-7d70-bfb6-7df028e4589b:1\"}","x-codex-ws-stream-request-start-ms":"1780801899401","x-codex-installation-id":"1042a943-5d12-4ca7-828b-7d67c032e2e4","x-codex-window-id":"019e9f0b-9722-7d70-bfb6-7df028e4589b:1"}}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  Sending frame: Frame { header: FrameHeader { is_final: true, rsv1: true, rsv2: false, rsv3: false, opcode: Data(Text), mask: Some([23, 91, 216, 193]) }, payload: b"\xec}\x7fv\xe2X\xb2\xe6V4\xee7\x93\xb8\x8c\x8c\xedL\xe7\x0f\xfc\xaa\xbbH\x8c\xd3\xbc\xb2\xc1\x05\xb8\xb2\xab\xcbu\xb0@\xc2V' 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}


level: TRACE
target: log
process_uuid: pid:66356:8648da0c-de26-4b10-b012-7f004905a30f
feedback_log_body:
  writing frame 
  <FRAME>
  final: true
  reserved: true false false
  opcode: TEXT
  length: 13332
  payload length: 13324
  payload: [encoded data, 26650 characters]
              


