The server wrote jwt.key to the executable's directory, /app in the
image, so it lived in the container's writable layer and every container
rebuild generated a new key and signed all users out.
- ARTEX_JWT_KEY_DIR selects the key directory (default: config.BaseDir(),
unchanged for non-Docker installs). docker-compose.yml sets it to
/app/keys and bind-mounts ./keys there; the Dockerfile declares the
volume. The key stays out of data/, which the file manager browses.
- loadOrCreateJWTKey creates the directory (0700). When keyDir/jwt.key is
missing it migrates dataDir/jwt.key, then BaseDir()/jwt.key (mode 0600,
old file removed), otherwise generates a new key. An existing key is
never overwritten; a short one is now a startup error.
- .gitignore and .dockerignore exclude keys/.
- README and CHANGELOG updated; the 0.5.0 known issue is removed.
New accepted opts ...Option but never called them, so scrubSecrets stayed
false in the binary and ScrubSecretEnv was unreachable: the protection merged
in #136 never engaged. The unit test passed because it called the scrub
function directly instead of going through New.
Apply the options in the constructor and add a test that builds a Server
through New with WithSecretScrub and asserts the secrets are gone. Verified to
fail without the loop.
POST /api/llm/test and POST /api/llm/models take provider and base_url from
the form but fell back to the stored profile key (and, for the test, the
global key) when the form had none. Any base_url typed into the form, or
supplied by a crafted request, received the saved key.
The saved key is now used only when the request's provider and base URL
normalize to the ones it was saved with (sameLLMEndpoint, built on
agent.ConfigFrom). Otherwise the key must be entered in the form, and the
error says why.
POST /api/auth/init accepted any caller while auth.password_hash was empty,
so whoever reached port 8787 first could set the admin password and take the
instance. When no password is set at startup, the server now generates a
random one-time setup token and writes it to the server log. authInit
compares it in constant time, rejects a missing or wrong token with 403, and
clears it once the password is stored.
The setup page has a field for the token and api.initPassword sends it.
docker-compose publishes 8787 on 127.0.0.1 only, like 8788. README says where
to find the token.
The scrub ran in main after server.New returned, but New resumes every
non-terminal task before returning, and those loops start workers that run
shells. Move the scrub into New, right after both environment readers, and
start MCP discovery after it as well: both paths spawn child processes.
New takes an option rather than scrubbing unconditionally. The test suite
builds several servers in one process and still needs ARTEX_PG_DSN on later
calls, so only the binary opts in.
The update source is hard-coded to a repository that no longer exists and the release checksums are unsigned. Removes the selfupdate package and the /api/update/* endpoints, the top-bar check that queried GitHub on every page load, the Version & Updates card, and the exit-75 swap protocol in the start scripts.
Implements the per-intent rotation shape from #85: a task created with
llm_rotate=true distributes worker intents round-robin over its LLM chain
heads, so lane A can hunt on one model while lane B hunts on another
(different lenses per intent, no extra tokens). Default stays the classic
ordered failover from the active head; planner/goals/mainagent keep the
active head always.
Mechanics: the engine pins the next chain head into the run context when a
worker claims an intent; the pin travels through the provider resolver
(hooks.current now takes ctx). A pin is only a dispatch preference - it must
belong to the task chain and never bypasses failover state (an exhausted
chain stays exhausted). Schema: tasks.llm_rotate boolean, default false,
idempotent ALTER; exposed on the create payload and the task DTO.
Closes#85 (the ensemble/P4 shape stays parked as before)
Three orchestration mechanisms from the Q00/ouroboros evaluation (#99):
- Goal ambiguity gate at task creation: a goal must name a target (URL,
domain, IPv4, localhost:port or absolute path) and reach a length floor,
else the API returns 400 before any token is spent. Deliberately
target-less goals opt out with the literal marker [targetless]. Guards
against the live failure where a goal naming no target sent every worker
to an unrelated asset.
- Consecutive-failure escalation on the task LLM chain: quota exhaustion
already advances the chain; now 3 consecutive non-quota call failures on
the same chain profile advance it too, with the true reason recorded.
Escalation-only by design (no auto-downgrade: mid-task model swaps risk
behavior drift; the operator keeps the manual chain reset).
- Stagnation surfacing in the planner overview: finished intents are
fingerprinted (case-folded, digits collapsed); a direction dispatched 3+
times with zero findings since its first attempt is flagged in a
self-describing stagnation_warning payload that instructs the planner to
diversify instead of grinding. Absent when nothing stagnates.
Closes#99
Extracts candidate lessons from terminal tasks (confirmed, negative,
retest caution), gates them on cue + action + evidence, and makes
extraction idempotent through a per-source evidence key.
ARTEX_RSI_LESSONS selects off / shadow / inject. Shadow logs what would
have been shown; inject appends a code-owned, data-not-instructions block
after the planner and worker system prompts. No prompt mutation and no
adoption: status stays candidate.
Credit: the Library admission rule comes from harness2 (Google Research,
Apache-2.0, arXiv 2610.14224); the gain taxonomy from awesome-rsi
(lobehub).
GET /api/skill-gaps aggregates skill_usage rows with found=false by
skill, agent, and task category. Hits are returned for the same key so a
miss rate needs no second query; hit-only skills are excluded. The source
rows already existed: a miss is written when the model names a skill the
platform does not provide.
This is the evidence-backed capability backlog, not an auto-fixer: it
creates no skill and changes no prompt. Motivated by the harness and
skill-evolution sections of awesome-rsi (lobehub).
Adds GET /api/tasks/{id}/outcome: finding disposition and severity,
retest verdicts, result-row token totals, tool calls, skill misses, and
wall time in one row. This is the measurement layer an RSI loop needs
before claiming a change helped; it alters no agent behavior.
Metric selection follows harness2 (Google Research, Apache-2.0,
arXiv 2610.14224) and the task-gain / retained-gain / improver-gain
taxonomy in the awesome-rsi list.
GET /api/tasks/{id} returned the metrics block zeroed (tokens, goal
progress, in_flight, findings, last_activity) because only listTasks
populated those DTO fields. Extract the fill into applyTaskMetrics and
call it from both handlers so the two endpoints report identical
numbers from the same TaskListMetricsAll query. The swallowed query
error in listTasks is now logged instead of silently zeroing the table.
Test: TestTaskDetailReturnsListMetrics seeds result-activity tokens and
goal nodes, asserts the detail endpoint reports them and matches the
list endpoint; fails on main, passes with the fix.
Fixes#91
Quiet-mode was compile-time only; wanting it off mid-task (empty frontier, one long intent, idle lanes) was impossible. tasks.plan_quiet_mode (default on) gates the edge-round skip in runRound, PATCH /api/tasks/{id} flips it live (the next round reads it), creation accepts plan_quiet_mode, and the DTO exposes it.
The fallback only borrowed the stored key; provider, model, base_url, proxy, streaming and thinking settings still came from the request form. An empty form (the list-view test button) then hit ConfigFrom defaults, sending the profile key to the canonical provider endpoint and 401ing. Fields the form leaves empty now come from the stored profile; explicit form values still win.
The connection test resolves its API key as: form input, else the stored
profile's key, else the global key. Form keys pass through ConfigFrom,
which trims surrounding whitespace; the stored-key fallback assigned
p.APIKey raw. A key pasted with a trailing space or newline therefore
behaved asymmetrically: conversations worked (the runtime path loads the
profile through ConfigFrom and trims) while the connection test sent the
malformed header and failed auth with 401. SaveProfile had the same gap
one layer down, storing the raw pasted value.
Changes:
- the llm/test fallback now trims the stored key and session header name,
matching ConfigFrom's normalization so the test sends byte-identical
headers to what the runtime sends for the same profile
- SaveProfile trims the key before storing (and before deriving the
hint), so surrounding whitespace never reaches the database
- tests: an integration test saves a profile with a whitespace-padded
key, runs the real handler against a fake anthropic endpoint, and
asserts the endpoint received the trimmed key; a second test pins the
ConfigFrom trim the fallback must match
Descriptions written through the API were interpolated raw into the SKILL.md
frontmatter, so a value containing a colon+space made the whole frontmatter
unparseable: every field silently stayed empty, the skill loaded under its
directory name, and a skill-gated MCP server was silently skipped. The same
applied to updates through the meta rewrite, and the shipped scopesentry skill
had a malformed name line all along.
- yamlScalar: plain-safe tokens stay bare, everything else single-quoted
- fsCreateSkill/fsUpdateSkillMeta emit safe values and re-verify the written
file with the real skill parser (name + mcps must survive), rejecting the
write otherwise
- warnBrokenSkills at startup logs skills whose name fell back to the
directory (the signature of broken frontmatter)
- fix skills/scopesentry/SKILL.md name line
Closes#39
Closes#33. The MITM proxy only sees the agent's own actions, so
anything behind a human gate (signup captcha, email OTP, 2FA, SSO)
left the authenticated surface dark. The operator's browser becomes a
capture source instead:
- traffic: exported RecordExternal storing an externally captured
exchange through the same spill/blob/FTS path as proxy traffic
(insert logic shared with record()); rejects unparsable URLs and
empty methods
- server: POST /api/traffic/ingest inside the authenticated API group,
batch capped at 50 entries, bodies truncated at 256 KiB, per-entry
ingested/failed counts
- extension/: Manifest V3 Chrome/Edge extension driving the
chrome.debugger Network domain on the chosen tab, batching text
exchanges to the ingest endpoint with the operator's URL + JWT in
chrome.storage.local; binary bodies skipped; flush on batch/stop
- tests for both layers, README section
Task credentials (#3): declare test accounts at task creation, and never
lose the accounts the agent registers on its own.
- task_credentials table (unique per task+domain+username; upsert
overwrites the password in place), idempotent schema migration
- POST /api/tasks accepts credentials; GET/POST/DELETE
/api/tasks/{id}/credentials serve the UI (manual add, e.g. relaying an
OTP-verified account; delete)
- empty password = the "agent generates" mode: the entry surfaces in the
worker's graph overview with an explicit instruction to register that
account with a strong password and record it
- new tools save_task_credential / list_task_credentials for worker and
pentest; the graph overview injects the task's credentials each round
with a standing note: reuse matching entries, always record accounts
you register
- New Task dialog: optional credentials section (domain, username,
password, note) with a dedicated-test-accounts hint
- task detail: Credentials tab, passwords masked with explicit
reveal/copy, agent-recorded badge, light polling so mid-run recordings
appear
One-shot binding migration (settings-flag-guarded, same pattern as the
other seeds) grants the two tools to worker+pentest on databases seeded
before this change; fresh DBs get them via WorkerTools()/the pentest
catalog.
Closes#3
Comments, doc comments, UI labels, log and error messages, LLM prompt
strings, markdown docs, test data and assertions. Identifiers, enum
keys, routes, placeholders and code structure are unchanged.
Notes:
- docs/漏洞流量证据.md renamed to docs/vulnerability-traffic-evidence.md
- tests that exercised CJK specific handling (GBK zip names, Chinese
full text search) now use ASCII equivalents; go build passes and the
test suite matches the pre translation baseline (remaining failures
need a PostgreSQL DSN and fail identically on the original)
- frontend mention syntax now uses English kinds (finding, asset, ...)
matching the backend, chat mentions tests pass
BaaRai