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Author SHA1 Message Date
Jesse Vincent e9686d5c09 fix(codex): explicit model+effort on every spawn, config backstop
Depth-2 child-issued spawns omitted model 2/2 at CLI 0.146; model
without reasoning_effort resets effort to the model default.
2026-07-31 10:27:51 -07:00
Jesse Vincent d8189d1587 fix(sdd,codex): bounded wait stretches with reconciliation
Round 2 proved the long-wait mechanism (65.1%->0.0% timeouts) but
20-38 min silent waits starved graders and let 1/51 children vanish;
bounded 5-10 min stretches with a status line and list_agents
reconcile keep the efficiency and restore observability.
2026-07-31 10:27:51 -07:00
Jesse Vincent db4538fcb8 fix(sdd): controllers wait long or not at all
Docs-only wait guidance in the platform reference changed nothing
(65.1% vs 67.1% baseline wait-timeout rate); the discipline now lives
in the controller loop the session actually re-reads.
2026-07-31 10:27:50 -07:00
Jesse Vincent 9b8b14fe12 fix(codex): event-driven waiting instead of short polls
60-78% of wait_agent calls timed out across every measured corpus;
waits are event subscriptions, so one long wait replaces dozens of
polls at identical wake latency.
2026-07-31 10:27:50 -07:00
Jesse Vincent 75756d2900 fix(codex): correct multi-agent guidance against Codex source
Five claims contradicted by the Codex CLI source (V2 has no
close_agent; followup_task always reaches a child; role files attach
via agent_type; full-history forks accept model/effort; V2 spawn
allowlist). Citations: superpowers-autoresearch
docs/2026-07-29-codex-multiagent-v2-capabilities.md.
2026-07-31 09:39:55 -07:00
2 changed files with 100 additions and 43 deletions
+30 -42
View File
@@ -14,21 +14,7 @@ Execute plan by dispatching a fresh implementer subagent per task, a task review
**Narration:** between tool calls, narrate at most one short line — the
ledger and the tool results carry the record.
**Continuous execution:** Do not pause to check in with your human partner between tasks. Execute all tasks from the plan without stopping. The only reasons to stop are the four named below, or all tasks complete. "Should I continue?" prompts and progress summaries waste their time — they asked you to execute the plan, so execute it.
**Rulings, not stalls.** A running plan does not wait on a human. Conflicts,
ambiguities, plan defects, a cap you would have asked to exceed — decide
them. The spec is the binding authority, the plan is its argument, and your
judgment settles what neither answers. Record every decision in the ledger as
`Ruling: <what you decided> — <why> — <what it costs if wrong>`, and keep
going. A wrong ruling costs rework your human partner can see and undo; a
session parked on a question costs their whole day and buys nothing.
Four things stop you, and only these: an irreversible or destructive
operation; a security-sensitive action; a side effect outside this worktree
that norms say you ask about first (a merge, a push to a shared branch, a
publish); and a plan so broken that every path forward is a guess. For those,
stop and ask.
**Continuous execution:** Do not pause to check in with your human partner between tasks. Execute all tasks from the plan without stopping. The only reasons to stop are: BLOCKED status you cannot resolve, ambiguity that genuinely prevents progress, or all tasks complete. "Should I continue?" prompts and progress summaries waste their time — they asked you to execute the plan, so execute it.
## When to Use
@@ -71,14 +57,14 @@ digraph process {
"Generate review package, dispatch task reviewer (./task-reviewer-prompt.md)" [shape=box];
"Spec ✅ and quality approved?" [shape=diamond];
"Finding conflicts with plan text?" [shape=diamond];
"Rule on the conflict, ledger the ruling" [shape=box];
"Ask human partner which governs" [shape=box];
"Fix round R of 5: R≤3 resume implementer; R≥4 fresh implementer, more capable model" [shape=box];
"Dispatch scoped re-review (./re-review-prompt.md)" [shape=box];
"All findings addressed?" [shape=diamond];
"R = 5?" [shape=diamond];
"Adjudicate each open finding" [shape=box];
"Any load-bearing finding?" [shape=diamond];
"Rule and continue; stop only if every path forward is a guess" [shape=box];
"STOP: report BLOCKED to human partner" [shape=box];
"Park findings in ledger with rulings" [shape=box];
"Append completion to ledger, mark todo complete" [shape=box];
}
@@ -99,8 +85,8 @@ digraph process {
"Generate review package, dispatch task reviewer (./task-reviewer-prompt.md)" -> "Spec ✅ and quality approved?";
"Spec ✅ and quality approved?" -> "Append completion to ledger, mark todo complete" [label="yes"];
"Spec ✅ and quality approved?" -> "Finding conflicts with plan text?" [label="no"];
"Finding conflicts with plan text?" -> "Rule on the conflict, ledger the ruling" [label="yes"];
"Rule on the conflict, ledger the ruling" -> "Fix round R of 5: R≤3 resume implementer; R≥4 fresh implementer, more capable model";
"Finding conflicts with plan text?" -> "Ask human partner which governs" [label="yes"];
"Ask human partner which governs" -> "Fix round R of 5: R≤3 resume implementer; R≥4 fresh implementer, more capable model";
"Finding conflicts with plan text?" -> "Fix round R of 5: R≤3 resume implementer; R≥4 fresh implementer, more capable model" [label="no"];
"Fix round R of 5: R≤3 resume implementer; R≥4 fresh implementer, more capable model" -> "Dispatch scoped re-review (./re-review-prompt.md)";
"Dispatch scoped re-review (./re-review-prompt.md)" -> "All findings addressed?";
@@ -109,7 +95,7 @@ digraph process {
"R = 5?" -> "Fix round R of 5: R≤3 resume implementer; R≥4 fresh implementer, more capable model" [label="no - next round"];
"R = 5?" -> "Adjudicate each open finding" [label="yes - breaker trips"];
"Adjudicate each open finding" -> "Any load-bearing finding?";
"Any load-bearing finding?" -> "Rule and continue; stop only if every path forward is a guess" [label="yes"];
"Any load-bearing finding?" -> "STOP: report BLOCKED to human partner" [label="yes"];
"Any load-bearing finding?" -> "Park findings in ledger with rulings" [label="no"];
"Park findings in ledger with rulings" -> "Append completion to ledger, mark todo complete";
"Append completion to ledger, mark todo complete" -> "More tasks remain?";
@@ -162,8 +148,9 @@ Before dispatching Task 1, scan the plan once for conflicts:
- anything the plan explicitly mandates that the review rubric treats as a
defect (a test that asserts nothing, verbatim duplication of a logic block)
Rule on everything you find before execution begins — each finding against
the plan text that mandates it — and record each ruling in the ledger. If the
Present everything you find to your human partner as one batched question —
each finding beside the plan text that mandates it, asking which governs —
before execution begins, not one interrupt per discovery mid-plan. If the
scan is clean, proceed without comment. The review loop remains the net for
conflicts that only emerge from implementation.
@@ -210,6 +197,17 @@ Everything you paste into a dispatch prompt — and everything a subagent
prints back — stays resident in your context for the rest of the session
and is re-read on every later turn. Hand artifacts over as files.
**Waiting on dispatched subagents:** never poll a wait interface with
short timeouts, and never sit in one silent, open-ended wait either.
While you have local work — ledger updates, packaging the next review,
reading reports — keep working; child results arrive on their own.
When you are genuinely idle, wait in bounded stretches (five to ten
minutes, where your platform allows), and between stretches post one
line of status and reconcile your live children: list them, and chase
any that finished without reporting. A bounded stretch keeps nearly
all of a long wait's efficiency while guaranteeing a stuck or lost
child is noticed within minutes, not at the end of the session.
### 1. Dispatch the implementer
Record BASE (`git rev-parse HEAD`) before dispatching — the review package
@@ -258,7 +256,7 @@ Implementer subagents report one of four statuses. Handle each appropriately:
1. If it's a context problem, provide more context and re-dispatch with the same model
2. If the task requires more reasoning, re-dispatch with a more capable model
3. If the task is too large, break it into smaller pieces
4. If the plan itself is wrong, rule on the correction, ledger it, and re-dispatch with the ruling carried in the dispatch
4. If the plan itself is wrong, escalate to the human
**Never** ignore an escalation or force the same model to retry without changes. If the implementer said it's stuck, something needs to change.
@@ -325,11 +323,10 @@ Before the loop starts, two routes leave it immediately:
before merge. A roll-up nobody reads is a silent discard. Minor findings
never enter the loop.
- A finding labeled plan-mandated — or any finding that conflicts with
what the plan's text requires — is yours to rule on: weigh the finding
against the plan text, decide with the spec as the binding authority, and
ledger the ruling before you act on it. Do not dismiss the finding because
the plan mandates it, and do not dispatch a fix that contradicts the plan
without a recorded ruling.
what the plan's text requires — is the human's decision, like any plan
contradiction: present the finding and the plan text, ask which governs.
Do not dismiss the finding because the plan mandates it, and do not
dispatch a fix that contradicts the plan without asking.
Everything else enters the loop. A fix round is one fix dispatch plus one
scoped re-review. Five rounds maximum per task:
@@ -379,11 +376,10 @@ the cross-task context the reviewer lacks:
- **Real, but nothing downstream builds on it:** park it the same way, with
a ruling that says it's real and deferred.
- **Real and load-bearing** — a later task builds on it, or it reveals a
plan defect: rule on the smallest change that unblocks the dependent work,
ledger it as `Task <N>: ruling — <finding> — <what you decided and why>`,
and carry it into the next task's dispatch. Parking a structural failure
silently lets every dependent task build on it. Stop only when the defect
leaves every path forward a guess.
plan defect: STOP. Append `Task <N>: BLOCKED — <reason>` and report to
your human partner with the finding, the plan text it collides with, and
the fix history. Parking a structural failure lets every dependent task
build on it and hands the final review a problem it cannot fix either.
Adjudicate only at the cap. Adjudicating earlier to end a loop is
pre-judging with a different name. Every adjudication is a ledger entry —
@@ -424,20 +420,12 @@ Then run exactly one scoped re-review of the fix wave
(`scripts/review-package PLAN_FILE FIX_BASE HEAD` over the fix range,
[re-review-prompt.md](re-review-prompt.md)).
Adjudicate any residual findings as in the task loop's breaker: park with
rulings, or rule on the load-bearing ones and ledger what you decided. Only
the four classes above stop you here. There is no second fix wave —
rulings, or stop on load-bearing ones. There is no second fix wave —
residual load-bearing findings surface to your human partner when
finishing-a-development-branch presents the options.
## Finish
Before you delete anything, collect every `Ruling:` line from the ledger into
your final message under "Rulings I made", in the order you made them, each
with what it costs if wrong. That list is the only place the decisions you
took on your human partner's behalf reach them — they read it and rework
whatever you got wrong. A ruling that dies with the workspace was a decision
made in secret.
When the final whole-branch review is clean and its fixes are merged,
delete this plan's workspace (`rm -rf <workspace>`) — the git history is
the record now. Sibling directories belong to other plans; leave them
@@ -7,7 +7,76 @@ Add to your Codex config (`~/.codex/config.toml`):
multi_agent = true
```
This enables `spawn_agent`, `wait_agent`, and `close_agent` for skills like `dispatching-parallel-agents` and `subagent-driven-development`. When using subagent-driven-development, close reviewer subagents when their review returns. Keep each implementer subagent open until its task's review passes — the fix loop resumes the implementer — then close it. If your harness cannot send another message to a spawned agent, dispatch each fix round as a fresh implementer carrying the brief, the report file, and the findings.
This enables the multi-agent tools that skills like
`dispatching-parallel-agents` and `subagent-driven-development` use.
Which tools you get depends on the multi-agent version your model
preset selects (current presets run V2; older ones run V1). Trust your
actual tool list over any table — including this one — when they
disagree.
- **Spawning:** give children a clean context with
`spawn_agent {fork_turns: "none"}`; the default `"all"` copies your
entire transcript into the child. On Codex 0.145+, role files under
`~/.codex/agents/` attach to isolated forks via `agent_type`.
Full-history forks accept `model` and `reasoning_effort` overrides
(only `agent_type` is refused there) — isolated forks are the SDD
default for context hygiene, not because overrides require them.
- **Fix rounds:** resume the implementer with `followup_task` — it
delivers your message, triggers a turn, and transparently reloads a
child the harness evicted. Never dispatch a fresh implementer on the
theory that a spawned agent cannot be messaged again; on V2 it
always can.
- **Lifecycle:** V2 has no `close_agent`. Finished children are
evicted automatically when slots are needed; leaving them unclosed
costs nothing. Only V1 sessions have `close_agent` — there, close
reviewers when their review returns, and close each implementer
after its task's review passes.
- **Model names:** never copy a model name from a skill, table, or old
session into `spawn_agent` without checking it against your current
spawn allowlist — V2 accepts only V2-capable presets and hard-errors
on the rest.
## Waiting on children
`wait_agent` is an event subscription, not a poll: a long wait wakes
the moment a child produces mailbox activity, with the same latency as
a short one. Short-timeout polling buys nothing and costs a tool call —
and a context rebill — per poll. In measured sessions, roughly
two-thirds of all wait calls were short polls that timed out.
- While you still have local work, do not wait at all. A completed
child's final answer is pushed into your mailbox and arrives with
your next turn.
- When you are genuinely idle with children outstanding, wait in
bounded stretches: `wait_agent` with `timeout_ms` 300000-600000
(5-10 minutes). After each stretch — wake or timeout — post one
status line, run `list_agents`, and chase any child that finished
without reporting. Never stack polls shorter than five minutes; the
event subscription wakes a bounded stretch just as fast as a short
one.
- Completion mail cannot wake an idle controller (it is delivered
without triggering a turn); covering that idle window is
`wait_agent`'s only job. A stretch that times out with no activity
is your cue to reconcile, not to shorten the next stretch.
## Model routing on spawns
Every `spawn_agent` you issue — including when you are yourself a
spawned child running a fan-out — sets `model` AND `reasoning_effort`
explicitly, per the Model Selection rules of the skill you are
executing. Setting `model` alone is a trap: the child's effort
silently resets to that model's default, not to yours.
Ask your human partner to add a machine-level backstop to
`~/.codex/config.toml` so any spawn that slips through still routes to
a deliberate tier instead of silently inheriting the session's most
expensive model:
```toml
[agents]
default_subagent_model = "<a mid-tier model from your spawn allowlist>"
default_subagent_reasoning_effort = "medium"
```
## Environment Detection