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"auth mode": "chatgpt",
"connect timeout": "15000 ms",
"endpoint": "wss://chatgpt.com/backend-api/<redacted>",
"handshake result": "HTTP 101 Switching Protocols",
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}
What version of Codex CLI is running?
codex-cli 0.150.1 (also Codex Desktop app-server 151.0.7922.170 on the same
~/.codex)What subscription do you have?
Pro
Which model were you using?
gpt-5.6-sol
What platform is your computer?
Darwin 25.5.0 arm64 arm
What terminal emulator and version are you using (if applicable)?
Orca (terminal multiplexer/agent launcher) driving
codexTUI sessions; Codex Desktop app-server also running against the same CODEX_HOME.Codex doctor report
See "Additional information" (full JSON attached at the bottom; nothing redacted was needed).
What issue are you seeing?
~/.codexreached 14 GB on a machine where Codex is the secondary agent (Claude Code is primary). After removing rollouts older than 30 days, the last 30 days alone are 6.7 GB across 5,271 rollout files. Sizing what is inside them shows the dominant cost is not model traffic but the same command stdout being persisted four times — three copies inside a single rollout record, plus one more inthread_history_1.sqlite.1.
event_msg/item_completedforCommandExecutionstores the full stdout three times in one record.Each completed command is appended to the rollout as an
event_msgwhoseitemhasstdout,stderr,aggregated_output, andformatted_output. Measured on the largest rollout (114 MB, 1,359CommandExecutionitems):stdoutaggregated_outputstdoutin 1,359 / 1,359 itemsformatted_outputaggregated_outputin 1,186 / 1,359 itemsstderrThat one record type is 75 MB of the 114 MB file (68%). The
response_item/function_call_output/custom_tool_call_outputrecords — the (truncated) output the model actually saw — total only 22 MB in the same file. So the rollout carries ~3.4× more untruncated stdout than model-visible output.Across the 200 largest rollouts in
~/.codex/sessions(2.0 GB total):event_msg/item_completed(CommandExecution)response_item/custom_tool_call_outputresponse_item/function_call_outputresponse_item/reasoningInside those
CommandExecutionitems:stdout461 MB +aggregated_output461 MB +formatted_output236 MB.2.
thread_history_1.sqlitestores a fourth copy.The projection DB is 1.68 GB;
thread_itemsrows withitem_type = 'commandExecution'account for 1,486 MB of it, andjson_extract(item_json, '$.aggregatedOutput')alone sums to 1,416 MB (individual items cap at ~1 MB). Every thread in it still has its rollout on disk, so this is a straight duplicate of data already insessions/.3. There is no age-based retention for any of this, so it only grows. (Tracked separately in #6015 / #28187 / #20230 — noted here only because it turns the duplication into a permanent cost.)
logs_2.sqliteseparately sat at 2.63 GB with 1.76 GB of freelist pages; that is #35823 andVACUUMfixed it.Why this is distinct from existing reports. #36557 / #39469 / #31198 / #29531 are about parent history or
compacted.replacement_historybeing replayed into child/resumed rollouts; #24948 and #34061 attribute growth to rawfunction_call_outputvolume and event counts. In my data theresponse_itemoutputs are the small part. The cost is the three redundant fields onitem_completedevents plus the projection copy — it applies to every command in every session, subagent or not, and stacks multiplicatively on top of the issues above. Workload context: 77% of my rollouts (4,631 of 5,271; 5.1 GB) are subagent threads from a multi-agent plugin whose workers run many read-heavy shell commands (cat,grep,git show), so each byte of stdout costs ~4 bytes on disk, forever.What steps can reproduce the bug?
codex exec "run: cat some-200KB-file"(or any TUI session doing normal work).~/.codex/sessions/YYYY/MM/DD/rollout-*.jsonland find theevent_msgrecord withpayload.type == "item_completed"andpayload.item.type == "CommandExecution".item.stdout == item.aggregated_output == item.formatted_output(the last differs only when the formatted view truncates).response_item(custom_tool_call_output/function_call_output).sqlite3 ~/.codex/thread_history_1.sqlite "select length(json_extract(item_json,'$.aggregatedOutput')) from thread_items where item_type='commandExecution' order by 1 desc limit 5".Measurement script used for the numbers above (Python 3, stdlib only):
Example thread id with the 114 MB rollout:
01a020c7-c50c-7850-b187-da14ba3adc88.What is the expected behavior?
item_completedshould either omit the output fields (theresponse_itemalready carries what the model saw, and the raw output could be referenced by offset) or carry a single field;stdout/aggregated_output/formatted_outputshould not be three literal copies.thread_history_1.sqliteshould reference rollout offsets (it already storesrollout_byte_offsetper turn) rather than re-embeddingaggregatedOutput.catof a large file does not become a permanent multi-megabyte on-disk cost.Additional information
Disk state when this was measured (macOS, single user, Codex used a few hours a day):
~/.codex/sessions: 6.7 GB for 30 days (5,271 rollouts; 4,631 subagent, 626 interactive). Before pruning >30-day files it was 8.5 GB.~/.codex/thread_history_1.sqlite: 1.68 GB (2,943 threads, all from the current month; 1,486 MB iscommandExecutionitems).~/.codex/logs_2.sqlite: 2.63 GB → 717 MB afterVACUUM(logs_2.sqlite never reclaims freed pages: auto_vacuum=INCREMENTAL is set but never run, so the file grows monotonically despite working 10-day retention #35823).codex doctor --json{ "schemaVersion": 1, "generatedAt": "1787893861s since unix epoch", "overallStatus": "warning", "codexVersion": "0.150.1", "checks": { "app_server.status": { "id": "app_server.status", "category": "app-server", "status": "ok", "summary": "background server is not running", "details": { "control socket": "/Users/shaswat/.codex/app-server-control/app-server-control.sock", "daemon state dir": "/Users/shaswat/.codex/app-server-daemon", "mode": "ephemeral", "pid file": "/Users/shaswat/.codex/app-server-daemon/app-server.pid (missing)", "settings": "/Users/shaswat/.codex/app-server-daemon/settings.json 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