- db: translate INSERT OR IGNORE ... SELECT to ON CONFLICT DO NOTHING
(VALUES-only regex left SELECT form untranslated -> PG syntax error);
register task_audit_loop_state (task_id) in _OR_REPLACE_PK so PG
INSERT OR REPLACE becomes a real upsert instead of DO NOTHING.
- server: _backfill_default_quotas uses SAVEPOINT containment and no
longer commits the caller's transaction, so a backfill failure cannot
roll back init_db's migrate ALTERs.
- worker: _coord_child_rows rolls back before column-fallback retries so
a missing-column failure on PG does not cascade into
InFailedSqlTransaction.
- tests: test_pg_init_fix.py (translation, SQLite backfill/upsert,
real-PG fresh-init + merge + upsert + backfill containment, skipped
without CLOUD_TEST_PG_DSN/driver).
Parent audit loop sits after all children are aggregated and
before the parent final state; the single-task _audit_loop_wire
is never applied to parents or children. Parent gates are
per-child gates child:<name> (completed only); execution
failures map to one deterministic finding per child; subjective
findings are split off before evaluate and only audited as
needs_review. Gate-rejected children (capability/tool/approval
audit rows, or distinctive error markers) bypass evaluate and
escalate directly without consuming a round; tolerated, paused
and quota-missing parts are excluded, never findings. Rounds
are counted only in the parent task_audit_loop_state; on
pushback the packet is stored on the parent and split per failed
child into that child's audit_loop_packet column, consumed once
by the existing packet-injection path at next claim; pass and
escalate clear parent and child packets. POST /tasks now allows
audit_loop on coordinator parents (the old 400 rationale is
gone); children still take no external switch.
Audit-loop wiring, worker completion path only: after the final
write-back (and only when the final is completed/failed, not quota,
not cancelled, not goal-converted, and the task carries audit_loop),
collect this attempt's deterministic gate results (execution,
goal_verify only when host reported goal_met, capability /
required_tools / gateway as passed-or-inapplicable markers, since a
pre-dispatch gate rejection early-returns before any runner round
and requeueing it would deterministically re-fail the same gate)
and call audit_loop_evaluate. Pushback stores the packet JSON in
tasks.audit_loop_packet and CAS-requeues the task; the next claim
prepends the packet preamble to prompt (and goal) with a data-only
separator, DB prompt untouched. Pass clears the packet. Escalate
sets failed (VALID_STATUSES has no needs_review, never invented)
with an escalation error and clears the packet; subjective
needs_review leaves the outcome untouched and only audits.
New tasks.audit_loop / audit_loop_packet columns follow the
attempts DDL pattern in worker ensure, server migrate, PG schema,
PG backfill, migrations backfill, and POST /tasks accepts
audit_loop (True/1 only, coordinator tasks rejected like v9).
Coordinator parent tasks return via _run_coordinator before the
attempt loop and coordinator children never inherit audit_loop,
so coordinator wiring is left as legacy, unchanged.
Audit loop engine (cloud/audit_loop.py): Finding/PushbackPacket/LoopState pure functions; deterministic gates only, subjective -> needs_review; packet completeness enforced; standards-weakening -> escalate; regression and missing-gate checks enforce full re-run; MAX_PUSHBACKS=3, round>=3 -> escalate. Persistence in new single-row task_audit_loop_state (attempts DDL pattern: module CREATE_TABLE_SQL + db.py POSTGRES_SCHEMA + migrations list + server init + worker ensure); task_attempts NOT reused (attempt_no PK collision) and task_followups NOT reused (user messages). Worker.audit_loop_evaluate is the explicit opt-in hook (task audit_loop field only, no env switch, never called by run_one); escalate audits worker_audit_loop_escalated; corrupted/missing count fail-closes to escalate.
Parse: agent_tools/tool_approvals column parsing unified into agent_def shared helpers (parse None = undeclared; server keeps None, worker maps to []/{} at _task_from_row, dispatch behaviour unchanged). Goal: _apply_resume_preamble goal branch proven reachable via _goal_convert_queued on a queued auto-resumed task, kept with a test and corrected docs (not dead code). Fail-open: audit write failure and preamble lookup failure now log warnings (best-effort unchanged); partial policy failure and shadow parse drops documented as known gaps. M7: shadow endpoint explicit_capability_failures_truncated test. Fingerprint: RoutingPolicy.content_fingerprint (canonical JSON sha256, version excluded) surfaced only in dry-run output, never in audit rows. M1 wording: legacy gap stated as fixed stock persisting per-task until completion, not converging.
N1-1: writeback scope verified too broad (any chosen, incl. shadow
applied=False, worker_default and worker_explicit) and narrowed to
source=policy + applied only; writeback now records a
worker_model_persisted audit row as the identity marker.
N1: persisted models are rechecked against current tier requires
before dispatch on later attempts (fixes4 split known/unknown):
active + known-missing fails fast (worker_capability_recheck_
rejected, no runner), unknown-only and shadow only audit.
User-explicit, worker-CLI-explicit and gateway-filled tasks skip
the recheck; legacy models are recognised by a policy applied
worker_routing row. Recheck never rewrites tasks.model and never
re-decides.
Explicit gateway capability now splits known/unknown: known-missing
explicit models fail-fast under active (same shape as the gateway
default gate), unknown explicit models stay audit-only, shadow never
blocks; explicit priority now protects which model the user chose,
not that the chosen model must run. Shadow report reads
worker_capability_gateway_explicit rows as explicit_capability_failures
with a field note distinguishing the three explicit counts.
N2: coordinator requeue CAS rowcount=0 branch covered via a proxy
connection test (no refactor needed). N3: shadow endpoint test on
the create_server + real HTTP skeleton (capability, truncated, and
explicit-failure fields). N4: creation-layer rejection tests for
tools/instructions/tool_approvals on goal/coordinator tasks.
N5: model writeback failure logs a warning (best-effort kept).
N1: writeback capability-recheck trade-off documented in comment
only; recheck itself is a later batch.
B1: gateway capability check now triggers on walking the sub2api
gateway, not on the gateway having filled a model; task-level
explicit models are audited (worker_capability_gateway_explicit)
but never blocked, preserving explicit priority; gateway-default
models still fail-fast under active.
I1: dry-run adds a gateway-model section, sourced only from
CLOUD_SUB2API_DEFAULT_MODEL (never queries the relay); an active
tier whose requires the gateway model fails or cannot verify
blocks, shadow only warns.
I2: shadow review gate now counts completed samples
(completed >= 20), same basis for sample_shortfall; the endpoint
attaches per-tier capability status (read-only policy load) and
flags capability-failing tiers in the recommendation.
I3: configured-but-broken routing policy logs a warning in
load_routing_policy (unconfigured stays silent); the worker sets
routing_policy_load_failed and audits
worker_routing_policy_load_failed per task.
I4: resume preamble wraps prior output/error as data with an
explicit do-not-execute constraint; position verified in run_one
(tree -> preamble -> project -> original) and the docs corrected
from the false 'closest to the original prompt' claim.
I5: decided model is written back with a CAS UPDATE
(model IS NULL OR model=''), so later attempts reuse it;
explicit models are never overwritten.
I6: agent_* columns added to worker._ensure_result_columns and
db.init_postgres_schema backfill; migrations backfills them for
tasks before insert (sender_task_id pattern); column-level tests
for agent_tool_approvals and task_attempts.
I7: coordinator requeue adds AND status=<snapshot> (rowcount 0
skips requeue/audit) and filters paused_by_user / user_cancel /
user_pause children, which are never revived or cleared.
I8: explicit-model tasks (including coordinator children that
inherited a parent model) audit a source=explicit worker_routing
row; evaluate_shadow counts it as per-tier explicit_n only,
never routed_n, never a dedup slot.
M1/M2/M3/M5/M6/M8/M10: dedup slot moved after tier validation,
shadow sort doc fixed, truncated recommendation notes truncation,
seed cleanup on gateway/quota/goal-cap early returns, tools-only
coordinator definitions rejected, preamble goal branch marked
effectively unreachable, DESIGN.md drift corrected (outside repo).
M4/M7/M9: documentation/new-field only (pass_rate_fully_measured,
whitespace-model shadow-drop note, bound-note race note); old
field semantics unchanged.
- RoutingPolicy.fallback_models: move the cleaning loop into
__init__ (it was unreachable after tier_mode's return, so the
attribute never existed); still parsed but not applied.
- Capability fallback: RoutingDecision gains capability_fallback;
the worker audits worker_capability_fallback when it fires, so
a tier-model rejection followed by a worker-default fallback
is no longer invisible (source stays worker_default, no
model_routing event, so shadow samples are unaffected).
- Registry: resolve_registry_agent checks skills directly
against the loaded definition instead of re-parsing a
hand-built dict, so future fields cannot be silently dropped
the way tool_approvals was in v9.
- Shadow: evaluate_shadow sorts rows earliest-first by
created_at (id tiebreak) when timestamps are present, so
dedup no longer depends on caller row order; the server
path (which strips created_at) is unchanged.
- Gateway: when sub2api fills the default model, the worker
now checks it against the tier's capability requirements
with the same mode semantics as v8 -- shadow only audits,
active fails fast with worker_capability_gate_rejected and
never calls the runner. No worker-default fallback here:
the gateway model is the task's gateway model, falling back
to a worker default would run against the wrong gateway.
Agent definitions gain tool_approvals: known tool -> ask/auto/deny.
Unknown tool/policy is a 400, and required+deny is a 400
contradiction. The declaration is persisted (tasks.agent_tool_
approvals, PG + migrate), echoed in GET and the creation response
(via to_summary), and resolved for registry definitions -- fixing
a latent drop where resolve_registry_agent re-parsed without new
fields. At dispatch the worker audits the declaration and fails
fast on a defensive required+deny re-check (v3 tools-gate shape,
runner never called); goal/coordinator tasks reject the field at
creation like instructions. effective_tool_approvals maps a
declaration + host global approval to the actual host answer,
with ask_honoured always False: host answers elicitation with
one global switch and carries no tool identity, and the approvals
queue is record-only with no runtime ask channel, so per-tool
interception and credential scope are explicitly NOT claimed.
Policy carries an operator-declared model_capabilities directory
and per-tier requires (tool_calling/reasoning/vision booleans,
min_context_tokens). decide_routing checks the policy tier model
in active mode: capable applies, incapable falls back to a capable
worker default, and if both fail or are unknown it returns
capability_blocked, which the worker turns into a failed task
(v3 tools-gate shape, runner never called). Shadow mode only
annotates the reason, never blocks. Explicit task and worker CLI
models bypass the check by design. Invalid requires drops only
that tier (fail-closed, like invalid tier mode). Dry-run reports
per-tier capability status and blocks on active tiers that fail
or cannot be verified.
Production code had no golden tasks, scorer, or rubric
(harness2.py states this explicitly); routing shadow gives
cost/status only and admits counterfactual not_measured,
so 'is the suggested model actually better' had no
mechanism. This track adds a pure module + CLI that scores
already-completed task records against human-curated golden
tasks and compares two runs, without running tasks, spending
model cost, touching the DB, or activating anything.
Golden tasks: JSON {id, prompt, tier, checks}; only four
deterministic check types (contains, not_contains,
status_completed, max_tokens, max_cost_usd, the last in
cost.py microdollar units); invalid definitions fail loudly.
Scoring: per-task score = passed / measured checks;
cost checks with missing/unpriced data are unknown, excluded
from the denominator and reported separately (never counted
as pass or fail); empty result_text is a string-check fail,
not unknown. all_pass means 'all measured checks pass' and
is reported alongside fully_measured_n so a pass rate is
never misread as 'all checks passed'. Comparison: per-run
stats, paired delta over golden tasks present in BOTH runs
(unpaired listed separately, missing listed, unmatched
records excluded with a warning), duplicate task_id rejected.
Paired n < 20 (same threshold as shadow) => ready_for_
decision false, no significance or p-values computed.
Deliberately NOT included: a task runner (golden tasks
still need a separate run-and-record step or manual task
creation), an LLM judge or quality score, and any routing
activation suggestion. A contains check can be gamed by
echoing, so golden sets must be human-curated with checks
that require actually doing the work; the example file in
eval/ is format-only, not a decision-ready set. Tests:
test_eval_loop.py (8 tests).
Foundry 'platform restarts with original input' gap, after
reading the existing mechanisms: creation idempotency
(UNIQUE project_id+idempotency_key), goal checkpoints
(task_checkpoints per round, same-thread breakpoint resume
with no-progress fuse), merge/cost/notification CAS, and
coordinator child reuse already exist. The uncovered segment
is non-goal platform-interrupted tasks: auto_resume requeues
them fresh in the same worktree after clearing result/error/
interrupted_reason, so the new run gets only the original
prompt and cannot tell what the previous attempt had done.
This track adds, in worker/server layer only (no host.py or
codex thread change): task_attempts ledger, recorded by
auto_resume_interrupted in the same transaction before
clearing (attempt_no = old auto_resume_count + 1, kind
goal_breakpoint|platform_fresh, interrupted_reason,
checkpoint_round, result/error truncated to 2000 chars,
INSERT OR IGNORE keeps the first record on duplicate);
resume preamble injected in-memory only at claim for
platform_fresh reruns (previous attempt facts, truncated to
1000 chars, plus check-worktree-first and verify-before-
recreating-external-artifacts instructions; skipped for
coordinator/_resume/breakpoint tasks and when no record
exists, never fabricated); attempts surfaced read-only in
GET /tasks/{id}/timeline under existing project-read
permission. Fresh PG schema, migrations table list, and
server/worker ensure paths share one DDL.
Deliberately NOT claimed: the preamble is an instruction,
not a hard guarantee like creation idempotency or merge
CAS; the ledger does not track worktree files or external
artifacts (no worktree snapshot, executor-dependent paths;
hard dedup for those still rests on their existing gates);
manual retry paths do not go through auto_resume, so they
get no ledger record or preamble. Tests:
test_attempts.py (7 tests).
Coordinator parts gain three enforced bounds, validated in
validate_parts and carried through the coordinator_parts JSON
(no schema change): timeout_seconds (1..86400, per-attempt
wall clock from coordinator start; the coordinator poll loop
cancels only that child with the same cancel mechanism as
the global timeout, other parts keep waiting, audit
coordinator_child_bound_exceeded), on_failure fail|tolerate
(tolerated failures do not fail the coordinator, are named
in the report head, and their failed children are not
requeued on coordinator re-run while interrupted children
still are), and result_chars (0..2000, default 500, enforced
in build_report; the 4000-char report writeback cap still
applies). evaluate_outcome is the single outcome rule used
by both build_report and the worker error text, so tolerated
failures never leak into the coordinator failure reason.
Unknown part names fail closed.
Deliberately NOT added, after reading the execution layer:
per-part token/cost budget (cost is recorded only on
completion, so a running child's spend is unobservable and
creator quota is monthly, not per part), per-part round cap
(normal tasks have no per-task round cap in the worker),
and write-scope isolation (sandbox is per-project worktree,
a scope string in a prompt would be an instruction, not a
guarantee). Tests: test_delegation_bounds.py (8 tests).
resolve_registry_agent in cloud/agent_def.py: agent_name may be
<name> or <name>@<version>, agent_version may also be given
separately; both given must agree or 400. Unpinned loads
<name>.json (default); pinned loads <name>.<version>.json and
requires the file's own version field to match, with no silent
fallback to the default file. Version strings are restricted
to alphanumerics/._- (no path separators, no ..); the
agents-dir traversal guard is a second line of defence.
Server: agent_version is only for agent_name (inline agent
with agent_version is 400); stored agent_name is the base
name, not the @ form. Snapshot fixture:
agents/research-brief.v1.json (same content as the default
v1 file). Tests: test_agent_version.py (7 tests).
New module cloud/routing_dryrun.py: dry-run a merged policy
document or an env mapping (file first, JSON overrides whole
tier entries, CLOUD_ROUTING_MODE overrides global mode only,
never explicit tier modes), reporting per-tier effective
model/mode/mode-source, dropped tiers with reasons, absent and
unknown tiers, and would_activate/would_shadow/would_off.
Dropped or unknown tiers block (CLI exit 1); warnings alone
(no version, fallback_models parsed but not applied, failed
file/JSON sources that the loader silently ignores) do not
block but are always printed. Model names are NOT validated
against a catalog (deliberately not whitelisted) and sample
counts are NOT checked here (that is the shadow report's job);
the CLI never writes env, files, or worker state.
Tests: test_routing_dryrun.py (8 tests).
RoutingPolicy gains tier_modes: a tier entry may be a string
(model, mode inherits global) or {model, mode}. The explicit
tier mode overrides the global mode in both directions, so plan
can be active while goal/default stay shadow, and one tier can
be rolled back to off without touching the others. An invalid
tier mode drops that tier entirely (fail-closed: a typo must
never accidentally activate a tier, and never kills other
tiers). Tier-off tasks return worker_default and are not
audited as policy/shadow, so they never inflate shadow sample
counts. Explicit task and worker-CLI models still win over any
tier mode.
Tests: test_routing_tier.py (5 tests).
New pure module cloud/routing_shadow.py: parse worker_routing
audit details (old format without suggested model parses with
suggested unknown, never guessed), evaluate per-tier routed
samples with one-task-one-sample dedup, explicit tasks counted
separately, status under the chosen model, token/USD with
unpriced tokens kept apart, and a min-20 gate per tier. The
report explicitly marks the counterfactual not_measured:
shadow suggested models never ran, so no suggested-vs-chosen
cost/quality comparison is possible. Worker audit detail now
includes suggested/chosen for future rows. GET /routing-shadow
serves the report (project read permission, truncated flag
over 10000 audit rows, cost table ensured so a fresh DB does
not 500).
Tests: test_routing_shadow.py (5 tests).
Agent definitions gain tools (websearch/imagegen/playwright,
unknown tool is a 400), stored as agent_tools JSON and returned
by GET /tasks. This is deliberately required-tools, not an
allowlist: create_thread has no tool allowlist and tenant homes
are per-project shared, so blocking other tools cannot be
claimed. Instead the worker fails fast before any model call
when a declared tool has no [mcp_servers.<tool>] section in
the tenant codex-home config.toml (checked after _tenant_dirs
seeding, so a section seeded earlier by another worker counts
as present). The gate runs only for tenant-isolated Docker
workers; local/cloud workers skip it, documented, not verified.
Tests: test_agent_tools.py (8 tests).
Registry: POST /tasks accepts agent_name, loading <name>.json
from repo-root agents/ (traversal-guarded, skill-pack re-validated);
agent and agent_name together is a 400. Persistence: tasks gains
agent_name/agent_version/agent_instructions (migrate + PG schema),
returned by GET /tasks; stored prompt stays clean. Channel: local
and docker dispatch pass --developer-instructions to host.py
dispatch -> create_thread(developerInstructions=...); run/fork do
not re-send. Cloud executor has no such channel, so the worker
falls back to the v1 marked header in the in-memory dispatch
prompt only (DB prompt stays clean). Goal/coordinator tasks
still reject instructions.
Tests: test_agent_def_v2.py (7 tests) + updated v1 suite.
Agent definition is a versioned JSON document bundling the task
fields this codebase already honours (model/effort/approval/
executor/plan), plus instructions and required skills. At task
creation, explicit body fields win per field over the definition;
unresolved fields stay NULL and follow the worker-default chain
(and rule routing v0 when model is left empty).
Instructions reach the model only as a marked header prepended
to the stored prompt, because the dispatch path has no
developerInstructions channel; goal and coordinator tasks reject
instructions. Skills are validated against the cloud/skills pack
at parse time; seeding itself stays worker-global, documented
as the v1 boundary. Routing policy is not part of a definition
in v1 (worker-global), and unknown fields are rejected so typos
cannot be silently dropped. No new tasks-table column in v1;
definition identity is echoed in the creation response and via
the prompt header.
Tests: test_agent_def.py (11 tests).
Pre-dispatch routing only fills in tasks with no explicit model,
classified by structural signals only (plan > goal > default).
Explicit task model and worker CLI --model win over policy;
policy via CLOUD_ROUTING_POLICY_JSON/FILE + CLOUD_ROUTING_MODE.
Shadow mode records a suggestion without changing dispatch.
Only policy/shadow decisions emit a model_routing event, so the
existing events contract (fallback tests) is unchanged.
Fallback rules, effort/approval/sandbox/quota and provider are
untouched. Tests: test_models_routing.py (20 tests).
Long-running website monitoring: new cloud/resident.py layer on top of
the automations claim/quota model (no task state-machine change).
States running/paused/ended; pause preserves the content-hash cursor
and stops polling, resume re-checks from the cursor, end is terminal
(resume after end is 409, a new watch is required). Polling is a cheap
fetch + hash comparison; only a real change creates a queued model
task. Quota exhaustion pauses (quota_exceeded) instead of ending and
keeps the cursor. Driver is the worker run_loop round boundary;
server exposes create/list/get/update/pause/resume/end with audit.
Console UI intentionally not wired this round (see verification
summary for deviations).
- search(..., allowed_hosts=[...]) extends (never replaces) the 15-domain
code list for that call only; scope=general + allowed_hosts raises,
empty/illegal values raise before any HTTP, dot-boundary matching,
extension values never in error strings or attempted entries.
- Native-filter parity: Tavily/Exa get the effective list, Perplexity
skips its native filter past its 20-domain cap (post-filter stays
authoritative), Brave/SearXNG/DuckDuckGo rely on post-filtering.
- MCP web_search gains allowed_hosts passthrough (only when supplied,
so older search_fn fakes keep working).
- JS-heavy evaluation documented in docs/web-search-mcp.md, mock-first:
direct fetch is shell-only by construction; provider extract can
supply rendered text in mock only; live SearXNG in this VM env
failed (remote closed connection) and paid-backend live effects are
unvalidated blockers, not claimed.
- Tests: test_code_search_ext (9) + test_js_heavy_extract (5 + 1 live
skipped); existing websearch/code-search suites still green.
(cherry picked from commit 9c26bbe848438e1f34bcb000700aeb4c284f4f23)
- click/click_ref: pre-click allowlist gate on resolvable anchor href
(same check as navigate; miss refuses before the click executes);
click/click_ref/click_at: post-click landing URL check.
click_at has no pre-click gate by design (coordinates name no
element); JS-driven navigation, evaluate, meta refresh and popups
are documented as unintercepable with the Tinyproxy 403 backstop.
- Tenant script upgrade is now safe: only proven-unmodified scripts
(manifest match, 2a569ac known-shipped SHA-256, missing, or
current) auto-merge; tenant-modified scripts are never overwritten,
are reported as skipped, and get one deduped audit record. The
manifest never learns a tenant hash (else the next upgrade would
mistake a modified file for untouched). Idempotent reruns.
- Activation candidate = deployed Tinyproxy programming set encoded
with leading-dot entries (plain entries would regress
docs.python.org); npmjs.org per the deployed filter, not npmjs.com.
Host activation itself is NOT performed this round: only the plan,
validation tests and rollback are delivered.
Tests: 28 new (click 13, upgrade 8, activation 7), all fake/no-network;
98 browser-related tests pass including prior suites.
(cherry picked from commit e4a93f5748ec815f163d0bc096ff4dc4b8c651f5)
- Multi-tab: browser_new_page / browser_list_pages /
browser_switch_page / browser_close_page in playwright_mcp.py;
each new page gets a fresh Playwright context, so cookies and
storage are isolated between pages. Single-page tools act on
the current page; switching to a missing index is an error,
not a crash; closing the last page is an error (use
browser_close).
- Navigation allowlist: BROWSER_ALLOWED_HOSTS (comma list,
leading-dot suffix match, case/port-insensitive) checked in
_check_allowed_url before launching Chromium; unset (or empty)
means no check, the old behaviour. file:// always allowed;
localhost/127.0.0.1 have no special treatment.
- Close cleanup: browser_close closes all pages and best-effort
removes cwd browser-live.png / browser-live.json; custom
screenshot files are untouched. list_pages needs no launch.
- Egress filter: 10 programming-source Tinyproxy BASIC rules
(python.org, nodejs.org, go.dev, pkg.go.dev, rust-lang.org,
developer.mozilla.org, crates.io, stackoverflow.com,
cve.mitre.org, nvd.nist.gov); already-present github.com /
pypi.org / npmjs.org not duplicated; searx.diante.me stays
exact-only, no diante.me wildcard.
- Allowlist worker wiring: _docker_task_context now passes a
set, non-empty BROWSER_ALLOWED_HOSTS from the worker env into
[mcp_servers.playwright.env] in the tenant config, so the MCP
process actually sees it (container -e alone does not reach
MCP subprocesses, 2026-10-30). Unset/empty writes nothing and
never overwrites; the value never goes into logs; it is not
added to the websearch env block or the container env.
ensure_playwright_mcp_env now returns False without rewriting
when the result would be identical (canonical join: one blank
line before the block), so a second prep leaves an unchanged
tenant config alone; other sections untouched.
- Skill + docs: browser-automation SKILL.md multi-tab/allowlist
section; docs/platform-browser.md comparison doc (new file).
- Tests (mock/fake only, no network, no real Chromium, no real
credentials): cloud.tests.test_playwright +
cloud.tests.test_websearch_worker, 48 tests OK, including 6
new wiring tests (switch off passes no variable, switch on
reaches MCP env verbatim, empty never written, old-tenant
merge idempotent + no-rewrite, ensure no-op when identical,
allowlist enforces only after wiring).
- NOT done (see PR body): no persistent profile, no credential
vault, no approval card, no CAPTCHA bypass, in-page link
navigation does not pass the allowlist, no real-Chromium live
verification, host tinyproxy filter not reloaded.
- search(..., scope=code) restricts to 15 programming domains
(official docs, GitHub, registries, Stack Overflow, CVE/NVD):
native include_domains/search_domain_filter where supported
(Tavily, Exa, Perplexity), post-filtering for all providers
(Brave, SearXNG, DuckDuckGo have no native filter).
- web_fetch now uses fetch_best: Tavily extract, then Exa
contents, then direct fetch; both-fail errors name both
failures, direct-fetch 403 under the egress whitelist is
fail-closed, not bypassed. Default general scope and direct
fetch_url behaviour unchanged.
- MCP web_search gains scope enum (general/code); docs updated.
- Tests all mock HTTP, no real keys.
Deploy restarts kill running tasks: the worker marks them
interrupted (worker_shutdown on graceful exit, sweep on stale
reclaim), and auto_resume_interrupted used to accept goal tasks
only, so every non-goal task killed by a deploy stayed
interrupted forever unless a human retried it (the 2026-10-30
demo task died this way).
Now worker_shutdown/sweep interruptions are re-queued for
non-goal tasks too: the platform killed the task, so the
platform re-queues it. The re-queue is a fresh run, not a
breakpoint resume: goal_resume_pending is forced to 0 and any
stale resume_message is cleared, so the new run cannot be
hijacked by the goal-resume path or an old continue message;
files in the same worktree persist. All existing guards stay:
user pause, coordinator orphans, quota (still goal-only),
backoff, the 3-strike stall guard (non-goal tasks have no
checkpoints, so each platform re-queue counts as no-progress),
and the auto_resume_max cap. Other non-goal reasons (NULL,
quota, user cancel) still do not auto-resume.
- AutomationPanel rows now show title, prompt content (160-char preview with expand/collapse), repo_url, last/next run, run_once badge and cancelled time.
- Active automations get an inline edit form (name/prompt/interval/repo) that PATCHes only changed fields via the existing automation_update endpoint; backend semantics unchanged (no last_run_at reset, cancelled stays terminal).
- Rebuilt cloud/console.html with tsc + vite (build green); automation python tests 18/18 OK.
Stale bridge state used to end the stream on the first stale read,
so every round gap and every worker restart killed the watch (the
2026-10-30 demo watch died this way when a 15:03 deploy restarted
the worker). Now a stale state switches to a waiting heartbeat
every 5s while the task is still alive (running/queued/paused/
interrupted), and frames resume when the next round's MCP starts
polling. The stream ends only on a terminal task state, a missing
task row, or 10 minutes of continuous staleness. The panel shows
a waiting status and keeps the last frame. Also force-close the
SSE connection on stream end: HTTP/1.1 keep-alive otherwise left
terminal streams hanging with no EOF.
- cloud/tree.py: structured worktree tree (dirs first, ignore
.git/node_modules, symlinks not followed, entry/depth
truncation flags, text render for injection)
- GET /tasks/{id}/tree with /files auth + worktree resolution,
max_depth 1..5, max_entries 1..500, escape 400, missing 404,
cloud/cross-host 409
- MCP get_task_tree translating to the new endpoint
- worker first-round injection of a repo-checkout top-level
snapshot (2 layers, 120 entries) after repo resolution,
labelled as checkout snapshot not worktree; skipped for
coordinator/resume/fork, silent when no host source
- docs/project-tree.md; tests for tree, endpoint, injection,
MCP translation
- G0/G0.5: repo freeze items (new vs existing, owner/repo, default branch,
visibility); new-repo creation and first commit are G1 prerequisites.
- One branch per thread (feat/swe/<phase>-<role>-<short>), never push main
directly, never force-push main; sync main before PR, coordinator
resolves conflicts, never silently.
- Delivery requires a PR with scope, contract version, test evidence,
known issues and linked todos/PRD items; no PR number means not done.
- Merge gate: Checks green, directory ownership pass, frozen contract
version, coordinator approval, no unresolved review comments.
Branch protection (require PR, require Checks, block direct push) is a
GitHub repo setting; if unset, coordinator records it as risk and
enables it, never pretends it is protected. GET /tasks/{id}/pr/checks
is read-only diagnostics, never reruns or approves.
- Merge commit by default; merge record holds PR number, merge commit
hash, CI run link and executor; delete remote branch after merge.
- Per-client release tags (e.g. v0.1.0) from merged PRs; rollback is
revert or redeploy previous tag, never force-push rollback.
- Security: tokens/keys never in code, commits or command lines;
token only into subprocess env (cloud/pr.py GIT_TOKEN pattern);
.gitignore covers secrets and local config.
- Main text and appendix (coordinator, client, acceptance) updated in
sync; appendix travels inside SKILL.md for seeding.
host