a48d78f8eb5b064c70c309834df2d7035753646b
104
Commits
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f7f3dfe495 |
feat(fleet): GLM as a real microVM backend, and per-role models for claws
Three threads, all of which end at the same place: a mission whose verifier does
not share a model with the coder it reviews.
**GLM has a credential contract now.** `microvm_credential_for` returned one env
var name, which quietly assumed every provider reads its secret from the same
place Anthropic does. It returns a `Credential { source, target }` instead —
z.ai's key lives in the server's `ZAI_API_KEY` and Claude Code reads it as
`ANTHROPIC_AUTH_TOKEN`, and collapsing those two names is what forces a guess at
the other end. A wrong guess here sends one provider's credential to another
provider's endpoint.
`images/agent-glm` is the same CLI at the same pinned version as `agent-claude`
with `ANTHROPIC_BASE_URL` baked in. The split is deliberate: the ENDPOINT is a
property of the image, the CREDENTIAL is a property of the turn. That makes the
dangerous mix-up unrepresentable — a GLM VM cannot be handed an Anthropic
subscription token, and a claude VM cannot be pointed at z.ai. Asserted both
ways, because "the GLM VM must not carry CLAUDE_CODE_OAUTH_TOKEN" is the
property that costs a credential if it ever stops holding.
Kimi stays refused. `KIMI_API_KEY` is set and Moonshot serves an
Anthropic-compatible API, but I have not verified its base URL against the
running service, and this function is precisely where guessing a URL is
expensive. It becomes an arm the day someone measures it.
`api.z.ai` joins the node's default egress allow-list. A default that cannot
run the images we ship is a trap rather than a policy — the alternative is an
operator discovering it as a hung agent with no model access.
**Per-role models for claws** (migration 0071). `template_roles` had no model
column, so `mint_team_from_template` bound every role of every mission team to
one literal — a template whose whole point is an independent reviewer minted a
reviewer sharing a model with the coder. A role may now name its own; roles that
say nothing still take the mint's default, so every template written before this
behaves exactly as it did. The literal is now that default rather than a
hardcode.
**A harness scenario for the roster flow.** `verify-mission-delivery.sh roster`
runs the whole Slice 5 loop — planner proposes, human approves, mission runs —
and asserts the roster LANDED on the mission row rather than trusting the API's
answer. That distinction is not theoretical: the first live approval returned an
error while leaving the proposal marked approved.
Built and proven on tank ahead of the deploy: `clawmates/agent-glm:dev` reports
`2.1.223` and `BASE=https://api.z.ai/api/anthropic`, and
`fc-build-rootfs.sh … glm 8G` boots a VM from it that has git, can write
/mission, and answers `claude --version`.
533 tests pass, clippy clean. Migration 0071.
Co-Authored-By: Claude Opus 5 <[email protected]>
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75d09241fb |
fix(missions): the first real approval found two bugs the tests could not
Deploying Slice 5 and approving one roster in production broke it twice, in ways
528 green tests had nothing to say about.
**1. `jsonb_set` refuses a scalar.** A mission created through the API without a
`config` stores jsonb `null` — a scalar — and `jsonb_set` fails on it with
"cannot set path in scalar". The guard was `coalesce(config, '{}')`, which
protects against SQL NULL; this is a perfectly good JSON null of the wrong shape,
and coalesce passes it straight through. Every test wrote `'{}'::jsonb` because
that is what a test author types. Production types nothing at all.
**2. The approval was not atomic, and failing halfway is permanent.** The claim
and the mission write were two statements, claim first, so when the write failed
the proposal stood `approved` with nothing applied — and the partial unique index
then makes that state unrecoverable: no other proposal for that mission can ever
be approved. The mission ran solo with `team_engine` still NULL while its
proposal said otherwise.
`approve_and_apply` is now one transaction: claim, write, commit or roll back.
The type guard is `CASE WHEN jsonb_typeof(config) = 'object' THEN config ELSE
'{}'::jsonb END`, which answers the question that was actually being asked.
Both regressions are tested in the shape production had, and both NEGATIVE
CONTROLS were run rather than assumed:
- restore `coalesce` → `a_roster_applies_to_a_mission_whose_config_is_json_null`
FAILS with Postgres's own "cannot set path in scalar", the exact production
error.
- commit instead of roll back on a failed apply →
`a_failed_apply_leaves_the_proposal_undecided` FAILS with the proposal stuck
`approved`.
Worth stating plainly: the API returned 500 for that approval, so this was not
silent to the caller — but the row it left behind claimed the mission had a
roster it never received, and the mission then ran and delivered, which is the
shape that gets believed.
530 tests pass, clippy clean.
Co-Authored-By: Claude Opus 5 <[email protected]>
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1797669296 |
feat(missions): Slice 5 — let a model size the mission's team
`routes/planner.rs` has had Opus proposing rosters since the Master Planner
shipped, and none of it ever reached a mission: the proposal lived in React state
and died with the tab. A mission's shape came from a team template instead —
fixed roles, and every claw minted `claude-sonnet-5` from a literal in
`mint_team_from_template`. That literal is why no mission has ever run more than
one provider.
A roster is `(topology_kind, [(role, backend)])`, which is exactly what the
composed executor already consumes: `Roster::graph` builds a `TopologyGraph` with
the backend in `attrs`, and `MicroVmTurnExecutor` reads `attrs["backend"]` per
node. So a verifier on another provider's rootfs stops being a bolt-on and
becomes a graph node — the correlated-failure break the independent judge exists
for, one layer down.
Three verbs, and the split is the point. **suggest** asks the model and persists
the answer, changing nothing. **decide** approves (writes `config.roster` and
switches the mission to the composed engine) or rejects. A proposal is never
applied on arrival: a model sizing a team is a suggestion about how many VMs to
boot, and this codebase treats model output that costs money as evidence for a
decision, not the decision.
Fail-closed at every seam, because each of these otherwise surfaces much later
and much more expensively:
- a backend no ONLINE node can boot is refused when PROPOSED, naming the ones
the fleet actually has. Placement would refuse it too — at launch, after the
roster was approved and someone believed the mission would run. The model is
handed that same list in its prompt, so the usual case never arises.
- an invented `topology_kind` is refused, not defaulted. `parse_topology_kind`
defaults to hub-spoke, which is right for a template we wrote and wrong for a
string a model just produced: running a `pipeline` proposal as a hub-and-spoke
changes what every node sees and nothing would say so.
- the roster is validated BEFORE it is stored, so a stored proposal is always
one that could be approved; and again at approval, against the fleet as it is
then — a node can go offline in between.
- `MAX_MEMBERS = 6`. Each member is a whole VM, not a subagent, and a model
asked to size a team proposes twelve happily.
Two properties live in SQL rather than in the handler: at most one approved
roster per mission (partial unique index — two approved rosters are two answers
to "what shape is this mission", and the executor reads one field), and
decide-once (`WHERE status = 'proposed'`, so a double-clicked approve claims
nothing the second time). Both tested against a real database, including that the
second approval is refused by Postgres rather than merely losing a race.
NEGATIVE CONTROL, run rather than assumed: with the roster preference removed
from `composed_graph`, `an_approved_roster_outranks_the_template` FAILS — 3 nodes
from the template instead of the roster's 2. A stored roster that is silently
ignored at launch is precisely the shape this project keeps paying for.
Not closed: per-role models for CLAWS. `template_roles` has no model column, so a
ZeroClaw team still mints one model for every role. The literal is now a named
constant that says so and points at the roster path, rather than sitting inline
where nobody reads it.
527 tests pass, clippy clean. Migration 0070. Not yet exercised against the
deployed stack — the route has never been called with a live model.
Co-Authored-By: Claude Opus 5 <[email protected]>
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12147a1e01 |
feat(missions): Slice 4 — the two engines composed, with the file handoff proven
`team_engine='composed'` (the third name migration 0069 anticipated) runs a
mission as a durable ZeroClaw graph whose every node is a whole
Claude-Code-in-a-microVM session. Engine Z owns checkpoint/resume, cancellation
and per-node heterogeneity; Engine C owns shared context and cheap fan-out;
neither has the other's asset, which is why this is a composition and not a
compromise.
`MicroVmTurnExecutor` implements the existing `TurnExecutor`, so it inherits the
planners, the checkpoint, the stale-run recovery, `close_finished_phases`, the
evaluator, capture and delivery unchanged — the same trick `SubTopologyExecutor`
already plays with a heavy `run_turn`. Producer side emits ONE `queued` row
carrying the real graph and lets the worker claim it: the durability IS being
worker-driven, and the solo path's `tokio::spawn` has none of it. Still exactly
one `topology_runs` row per unit of work and one completion path — `finish()` is
now that one place, shared by every tier.
THE TRAP, solved and proven. A VM is inject → run → collect → destroy, so a
per-node VM with text-only handoff silently loses every file an earlier node
wrote: node 2 boots from the original checkout, sees nothing, and still reports
success. The mission's host checkout is the medium — every node injects from it
and collects back over it — and two properties make that safe rather than lucky:
`execute_resumable` is strictly sequential, so two VMs never write one directory;
and the vm id is deterministic per (phase, iteration, step), so a duplicate is
refused by the node ("vm already exists") instead of becoming a second writer.
NEGATIVE CONTROL, run rather than assumed: with `repo` swapped for a private
per-node workspace, `a_later_node_sees_an_earlier_nodes_files` FAILS with
`saw:[]`; restored, it passes. The `PhaseVm` seam exists for exactly this — it
models inject/collect through the real `mission_fs` tar path in milliseconds.
Two durability traps this tier walks into, both closed:
- `requeue_stale` fires at 180s on `updated_at`, and one node here can run for
an hour. `SubTopologyExecutor` keeps its parent alive from each leaf step;
there is nothing between the start and end of a VM turn, so the turn holds a
ticker that touches `updated_at` every 30s and aborts on drop. Without it a
healthy composed run is requeued mid-node and boots a second VM.
- the 15-minute stuck-run reaper asks "any step records since it was CREATED?",
which describes a healthy composed run as readily as a wedged one. Hence
`REAPABLE_TIERS` — worker-driven minus this tier. Reaping it would be #54 in
a different costume.
`on_launch` mints no team for a microVM mission, deliberately: claws in
containers are what a VM mission does not use. So `mission_orchestrator::
composed_graph` builds the shape from the team template directly — nodes, roles
and pattern, zero claws provisioned. Per-node `attrs["backend"]` and
`attrs["node_id"]` override the mission's, which is what makes a validator node
on another provider's image a first-class graph node; a malformed `node_id`
fails the node rather than quietly running it where the graph did not ask.
Refusals are recorded as a failed run, not returned as an error: `launch_phase`
is swept every ten seconds, so a returned error is a phase that retries forever
while the log repeats itself.
501 tests pass, clippy clean. NOT yet proven end to end: no composed mission has
run on the fleet, so the resume-after-a-killed-worker leg is argued from the DB
test and the step-numbering test, not from a real two-node run.
Co-Authored-By: Claude Opus 5 <[email protected]>
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66f730ad16 |
test(db): a regression net for the three-minute bug, with its negative control
The #54 fix had no test that could see it. Its defining property is that it only appears past 180 seconds, and `verify-mission-delivery.sh microvm` runs a 90-second mission — so the end-to-end harness written to catch silent failure was structurally blind to this one. A unit test asserting the allowlist's membership helps, but would not notice a NEW sweeper added without the filter. `crates/cm-db/tests/self_driven_runs.rs` tests the real SQL against a migrated database, in milliseconds instead of eight minutes: - a `microvm` and a `session` run, 30 minutes idle and still `running`, must be left alone by `requeue_stale` — that is the bug, in one assertion - a `team` run in the SAME state must still be requeued, so the fix is "sweep the right rows" and not "stop sweeping" - the worker must not CLAIM a queued self-driven row, which is what turned a healthy run into "missing or invalid graph" - the allowlist names only worker-driven tiers NEGATIVE CONTROL, run rather than assumed: with the tier filter removed from `requeue_stale`, `requeue_stale_leaves_self_driven_runs_alone` FAILS; restored, it passes. A guard that cannot detect the bug it was written for is decoration, and this project has shipped one of those before. 489 tests pass, clippy clean. |
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4efcde9d4f |
fix(missions): #54 — the worker was killing live microVM runs at 180 seconds
My hypothesis in #54 was WRONG, and it was wrong because I built it on a bad measurement: `grep -c 'microvm phase'` returned 0, so I concluded the completion log never printed and blamed the 15-minute reaper. The line was there all along, at 14:17:45. The real cause is worse. `requeue_stale` has NO TIER FILTER. A microvm run's `updated_at` is written once at insert and never again — it is driven by a `tokio::spawn` that owns it start to finish, and nothing in `microvm_executor` writes `topology_runs`. So at 180s the sweeper declared a perfectly healthy run stale and flipped it to `queued`; `claim_next_queued` (no tier filter either) handed it to the worker; `run_job` tried to parse the microvm graph placeholder, which `TopologyGraph` cannot deserialize; and it failed the run with "missing or invalid graph". Mission 019fd43e: run created 14:11:16, mission failed ~14:14:46. 210 seconds — the 180s window plus a tick. The agent went on working and finished at 14:17:45 with three modules written, by which time the phase was already dead and the VM was orphaned. A firecracker process was still alive 1h37m later. THE UNCOMFORTABLE PART: every microVM mission that appeared to work this session did so only by finishing inside three minutes. The 90-second ones dodged this. The harness scenario dodges it. Nothing about that was visible. `WORKER_DRIVEN_TIERS` (team, company, org, swarm, compare) is now the allowlist for all three sweep paths — claim, requeue, reap. An allowlist rather than a denylist so the next self-driven tier is safe by default instead of exposed until someone remembers the file. `tier='session'` had exactly the same exposure and is covered too. A unit test asserts microvm and session are NOT in it, next to the code that inserts them. Two more fixes from the same wreckage: - `destroy` reported `killed: pgid.is_some()` — true whenever there was a pgid to signal, whether or not anything died. It now sends the signal, polls /proc for the group leader, retries, and reports what it OBSERVED; `signalled` keeps the old meaning so "nothing to kill" is distinguishable from "it would not die". - the run-status update is now guarded with `AND status <> 'cancelled'`. An operator cancelling is a decision; this task reporting an outcome minutes later is an observation, and it must not overwrite one with the other. And the root cause of the collect timeout itself: `mission_fs::pack_dir` shipped `target/` in both directions. `mission_delivery` has excluded build output from the DIFF since day one; the TRANSPORT never knew. The host checkout was 9.4 MB of which 8.9 MB was `target/`, tarred and base64'd over vsock each way. `EXCLUDED_PATHS` is now one list shared by both layers, matched on directory name at any depth so a workspace's per-crate `target/` dirs are all covered. 483 tests pass, clippy clean. |
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cb48f7ff3b |
feat(missions): Slice 3 — agent teams behind a per-mission switch, solo by default
`missions.team_engine` (0069): NULL = solo, `'claude_code'` = Claude Code agent teams inside the mission's VM. Solo stays the default deliberately — Anthropic measure multi-agent at 3-10x the tokens with wall-clock often LONGER, since the benefit is thoroughness rather than speed — so a mission that said nothing does not get a team. In-process teammates live in the lead's process, so ONE VM hosts the whole team. That is why this is a prompt-and-env change rather than an orchestration one: no N-VM fan-out, no placement per teammate, no new completion path. The lead decides its own team size and there is no flag that limits it, so the cap (4) is stated in the prompt. The addendum also carries the two anti-patterns from Anthropic's guidance, because they are exactly the shapes our pipeline templates have: teammates must own DIFFERENT FILES (two in one file overwrite each other), and one change must not be split into stages across teammates (a handoff loses context at every step). And: wait for your teammates — a summary written before they report is the lead's own guess. A solo mission's prompt and env are byte-identical to before this change. That is enforced by test, not by intention: the comparison between solo and team is only meaningful if the solo side did not also move. Evidence, because a team mission that forms no team is silently just a solo run that looked fine and spent fewer tokens: a second probe counts members in `~/.claude/teams/*/config.json` (minus the lead), reported separately from the subagent count, and a team mission with zero teammates logs loudly with the two likely causes. The teammate path is DOCUMENTED BUT NOT YET VERIFIED in our image, unlike the subagent transcript path which was measured — so a zero there means "no evidence found", and the first real team mission is what turns it into a fact. `Option<u32>`: None means no team was asked for or the probe could not run. Hooks (`TaskCompleted` / `TeammateIdle` exit 2, which would move `done_when` from post-hoc into the agent's own loop) are the highest-value part of this slice and are deliberately NOT here — they deserve their own pass rather than a rushed tail. 482 tests pass, clippy clean. |
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c840688adb |
feat(missions): choose the independent validator per mission (#53)
`CLAWMATES_VALIDATOR_MODEL` is deployment-wide, so proving Slice 2 put a second
provider on the critical path of EVERY phase verdict. `cross_provider_judge`
deliberately does not fall back when the independent judge fails — a verdict
quietly produced by a same-family model would claim a property it does not have —
so a z.ai outage makes phases unmeetable rather than merely unverified. That is a
per-mission trade, not a per-deployment one.
`missions.validator_model` (0068), settable at create, with three distinct states
because an empty string and NULL mean opposite things in a nullable text column:
NULL use the deployment default
'' explicitly NO independent validator — judge with the house model.
The default must not quietly reinstate independence a mission was
told to skip.
'glm:glm-4.7' this spec, subject to the same three refusals as before:
same-family rejected, unregistered provider rejected, and a failed
independent judge does not fall back.
Whitespace counts as empty: a column hand-set to " " meant to say nothing.
478 tests pass, clippy clean. Behaviour is unchanged for existing missions — they
have NULL and so keep following the deployment default.
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d9f53a3f96 |
fix(fleet): placement requires the backend's rootfs image, not just KVM
The first real microVM mission was placed on morpheus because it reports
{"microvm": true}, while only tank had rootfs-claude.ext4. It failed by name
rather than booting the wrong image — but whether a mission ran came down to
which capable node was listed first, which is a coin flip dressed as scheduling.
`missions.backend` was invisible to the scheduler.
The node now enumerates the images on its disk and reports them as a `rootfs`
ARRAY. `microvm::available_backends` lives beside `rootfs_for`, its inverse,
because the two must agree on what a backend name means; split apart, one drifts
and the scheduler starts promising images the booter cannot find. It only
advertises names `rootfs_for` would accept, and reports an empty array rather than
omitting the key — set_capabilities REPLACES, so a deleted image stops being
advertised instead of leaving a stale claim.
`nodes::online_for_backend` requires microvm AND that the node's list contains the
mission's backend. A node on an older daemon has no `rootfs` key and matches
nothing: unknown is not permission, the same treatment every other capability
gets. `backend_key` maps the three spellings of "the default image" to the one
name the node advertises, and is tested — a mismatch there would reject every node
for an ordinary mission with no backend set.
The launch error now names both halves of the fix, since "no capable node" was
true but unhelpful when the node was capable and merely lacked the image.
Mission gains `backend` on the domain struct; it was a column the executor read
from the phase query while the struct that placement uses could not see it.
464 tests pass, clippy clean.
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c9b7d8b6ca |
fix(missions): a microvm mission could not be created at all
`runtime_kind='microvm'` passes the DB CHECK, is honoured by placement, and now has an executor — but `POST /api/missions` rejected the value with 400, so the only interface that creates missions could not produce one. And `backend`, which selects the per-CLI rootfs, was not in the create payload at all: it existed as a column and as a parameter to `vm_create`, with nothing able to set it. microvm needs no target_node_id at create time, unlike local_herdr: placement resolves a KVM-capable node at launch and fails the launch when there is none, so an explicit target is a request rather than a requirement. 461 tests pass, clippy clean. Co-Authored-By: Claude Opus 5 <[email protected]> |
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0f7fa31f86 |
feat(fleet): B1 — microvm runtime kind and KVM placement predicate
Phase B step 1, on top of the B0 spike that proved microVMs boot here.
KVM is a HARD predicate, not a preference. gw-04 — where every mission
runs today — is itself a VM without nested virtualisation and has no
/dev/kvm, so a microvm mission landing there cannot start at all. The
scheduler therefore has to be able to tell nodes apart, which means the
node has to report what it can host.
Nodes gain a `capabilities` jsonb, populated from a probe on the node
rather than from configuration: /dev/kvm either exists there or it does
not, and nothing on the server can make it appear. The probe OPENS the
device rather than stat-ing it, because it can exist while being
unopenable (wrong group, or a container without the device passed
through) — which is precisely how firecracker will fail.
`microvm` requires BOTH kvm and a firecracker binary. A node with KVM
but no binary looks capable by the obvious test and fails at launch; a
node with the binary but no KVM is gw-04.
Placement fails the launch when no capable node exists, rather than
letting a mission sit in 'running' with nowhere to run. An explicit
target_node_id is treated as a request, not a guarantee — it is honoured
only if that node actually reports the capability.
`capabilities` defaults to '{}' NOT NULL so a node that has never
reported fails every predicate: an unqueried node and an incapable node
must be indistinguishable to the scheduler, because scheduling onto a
node whose abilities are unknown is how you get a mission that cannot
start and does not say why. The report replaces rather than merges, so a
capability the node has LOST disappears instead of leaving a stale true.
Co-Authored-By: Claude Opus 5 <[email protected]>
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716ee9a304 |
feat(missions): capture a coding phase's diff to durable storage
First half of mission delivery: the work is captured before anything is published. A coding mission has until now produced nothing durable — the checkout is deleted thirty minutes after completion and `register_artifact` had no callers at all, so the only surviving output was an LLM narrative of what the agents said they did. `capture_phase_diff` writes `diff.patch`, `diffstat.txt` and `delivery.json` under `<missions_root>/_outputs/<mission>/<phase>/` and registers a `code_diff` artifact. That directory is a *sibling* of the per-mission directories the sweeper removes, and outside every bind mount handed to a container — so teardown cannot take the record with it and agents cannot edit their own evidence. Three details that decide whether this works at all: - `git add --intent-to-add` before diffing. Untracked files are invisible to `git diff`, and a phase that only *creates* files is the likeliest shape for generated code — silently capturing an empty patch would be the worst possible failure. The index is reset afterwards so capture leaves the tree exactly as the agents left it, which the test asserts. - Build output is excluded by pathspec (`target`, `node_modules`, `.venv`, …). A phase that ran `cargo build` leaves a directory larger than the repo. - An empty diff is still an artifact, flagged `empty: true`. "This coding phase wrote no code" is currently invisible to an operator and is worth saying out loud. `RegisterArtifact` gains `metadata`, which the column has had since 0047 and nothing ever wrote; the diffstat and base sha go there. No migration needed — `kind` is unconstrained TEXT and the column already exists. Tests run against a real `git init` repo rather than a mock: every bug in this area so far came from git behaving differently than assumed, and a fake git would have agreed with the assumption. `capture_phase_diff_at` takes explicit paths so parallel tests cannot race through the process-global CLAWMATES_MISSIONS_ROOT — the first version of these tests did exactly that and two of four failed non-deterministically. Co-Authored-By: Claude Opus 5 <[email protected]> |
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2c7d619cf0 |
fix(scheduler): a firing could be lost between rescheduling and dispatch
`tick` advanced `next_run_at` before dispatching the work, with nothing
recording that the occurrence was owed. A process that died between the two
dropped it silently.
The window is narrower than it first looks — `claim_due` sets `last_run_at`
but does not clear `next_run_at`, so a crash *before* `set_next_run` leaves
the routine due and it re-fires on the next tick. The loss is specifically
between the reschedule and the dispatch. That is tolerable for a message
routine and not tolerable for a scheduled mission, which is why this lands
before mission scheduling does.
`routine_fires` holds one row per (routine, occurrence), claimed before
dispatch and settled after:
- Fresh — nobody has it; fire.
- Retry — claimed, never settled: a crash mid-fire. Safe to fire again, as
no completion was recorded and nothing downstream saw a result.
- Settled — already dispatched; advance the clock and do not run the work.
This is what keeps a scheduled mission to one container across
restarts.
A failed dispatch settles terminally rather than staying retryable. Retrying
a persistently failing action every tick is how a broken routine becomes a
denial-of-service against whatever it talks to; the error is kept on the row.
The claim uses `xmax = 0` to distinguish a real insert from a no-op update in
a single statement — `ON CONFLICT DO NOTHING` returns no row at all, so two
schedulers racing one occurrence could both read it as unclaimed.
Also: fan-out capped at 25 per tick with the remainder logged and deferred (a
clock jump or an accidental every-minute cron would otherwise dispatch every
missed occurrence at once — one container each for topology routines), and
`spawn` no longer discards tick errors, so a scheduler that has stopped firing
no longer looks identical to one with nothing to do.
The pre-existing exactly-once test still passes: the claim changes
recoverability, not firing semantics.
Co-Authored-By: Claude Opus 5 <[email protected]>
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3b943df3c2 |
fix(templates): a template stopped accepting edits once it minted an agent
`upsert_builtin` replaced the role set with DELETE + reinsert. That looks
equivalent to an upsert and is not: `agent_template_link` carries a plain FK
on (template_id, role_slot), so the delete is rejected as soon as one agent
has been minted from the template, rolling back the whole transaction.
The failure mode was silent and self-targeting. The loader logs the error and
continues, so the on-disk TOML and the DB drifted apart — and only for the
templates someone had actually used. Running the smoke mission against
insight_research is what put it on the boot log:
failed to load insight_research.toml: violates foreign key constraint
"agent_template_link_template_id_role_slot_fkey"
which also means that template never received the skill-name fix.
- Upsert each role in place via ON CONFLICT (template_id, slot), the table's
primary key.
- Prune only slots the TOML dropped, and skip a slot still referenced by a
live agent with a log line. Keeping one stale role row is a smaller failure
than discarding every edit to the template.
- Regression test drives the real sequence — upsert, mint an agent, link it,
upsert again — and asserts both the prompt and skill edits land. Verified to
fail without the fix with the same 23503 the server logged.
Co-Authored-By: Claude Opus 5 <[email protected]>
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ca45597c79 |
feat(credentials): make provider substitution and runtime auth mode visible
Three guardrails around which credential pays for what. 1. Boot announces the mission-runtime auth mode, and warns when subscription auth is configured on a deployment with more than one user. A consumer subscription credential may only run the account holder's own work, and that condition is otherwise invisible -- it holds today and quietly stops holding the first time someone else signs up. Adds users::count_all (dynamic query, so the offline cache needs no regeneration). 2. Reject an ANTHROPIC_API_KEY shaped like a subscription OAuth token (sk-ant-oat...) at boot rather than failing on the first model call far from the mistake. Both credentials start sk-ant-, so the confusion is easy to make and hard to spot. 3. provider_alias_for's GLM/Kimi -> anthropic.default fallback was documented as deliberate but was silent in effect: a user picking "kimi" in the UI got an agent spending the Anthropic key, with nothing saying so. It now logs the substitution, and is_exact_provider_match() lets callers tell a real family match from a substitution so a UI can say which model will actually run. Behaviour is unchanged -- only the silence is. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]> |
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fe57ce4ed1 |
feat(missions): surface goal conditions and per-pass verdicts in the UI
Makes the completion evaluator usable and observable.
- GET /api/missions/{id}/phases/{phase_id}/evaluations returns every verdict
for a phase, newest pass first, scoped like the summary endpoint.
- MissionPhase gains done_when / max_iterations / iteration, so the phase card
can show what the phase is working toward and which pass it is on.
- PhaseStatus gains 'evaluating' (amber) -- the state between "runs finished"
and "phase done" that only conditioned phases enter.
- New PhaseGoalStrip renders on the phase card, and renders NOTHING for phases
without a condition so unconditioned missions look exactly as before. It
polls only while the phase is running or being judged.
- Mission wizard step 2 gains the condition + a max-passes field.
Two deliberate emphases in the UI:
The evaluator's `reason` is the most prominent element, because it is both the
explanation of why a phase iterated and the literal text handed back to the
agents as guidance -- it is what tells an operator whether the condition is
written well.
The hint copy states the constraint that actually governs whether a condition
works: the judge cannot run commands, it only reads what the agents wrote, so
the condition has to be provable from their output. "cargo test reported 0
failures" works; "the code is well factored" does not. Getting this wrong is
the difference between a phase that converges and one that burns every pass.
An evaluator error is rendered distinctly from a negative verdict, so a judge
outage doesn't read as a judgement on the work.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
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f848248fac |
feat(missions): goal conditions and phase iteration, judged on the subscription model
A phase used to complete when its topology_runs reached a terminal state --
purely structural. It marked itself done whether the agents produced the
artifact or wrote nothing at all, and it ran exactly once: execute_resumable's
skip(start) is resume, not repeat, and the only re-run path was a human
hitting the retry endpoint.
A phase can now carry `done_when`, a completion condition judged after each
pass against the evidence the agents actually surfaced. Not met and passes
remain -> the phase goes back to pending with iteration bumped, and the
verdict's reason is appended to the next pass's task text. That feedback is
what makes iteration converge rather than repeat -- the same mechanism /goal
uses, and that swarm.rs already uses for rejected work.
The evaluator runs on the SUBSCRIPTION model. CLAWMATES_EVALUATOR_MODEL
defaults to judge_model(), and a `runtime:<alias>` spec routes through
ZeroClawDriveExecutor -- a container agent on claude_cli, i.e. Claude Code on
the OAuth subscription, needing no platform API key. Same routing the door
governor uses.
Two deliberate departures from the governor's contract, both required:
- FAIL-CLOSED. Runtime::judge is fail-open and reads a verdict by
!contains("DENY"), so a model explaining why it *would* deny reads as
approval and an empty reply reads as approval. For completion that is
backwards: unsure must mean not done. The contract is swarm.rs's strict
JSON {"met","reason"} with .unwrap_or(false). Six tests cover the closed
paths -- prose, empty, missing field, non-boolean, transport error.
- judge_raw returns the raw reply; judge collapses to a bool too early to
carry a structured verdict.
Iteration scoping is the subtle part and has its own test: on pass 2 the
phase's own iteration is 1 but pass 1's completed run is still in the table,
so "are this phase's runs all finished?" must ask about the CURRENT pass or
that stale row closes out pass 2 the instant it is enqueued.
Evidence comes from phase_summarizer::collect_evidence, extracted from the
existing collect_material so the evaluator and the summary card cannot
disagree about what a phase produced.
done_when/max_iterations are promoted from phase config into columns (the
sweep filters on them every tick) and max_iterations is clamped to 20 at
insert -- the UI limits it too, but a runaway loop must not be one crafted
request away.
A phase with no condition completes exactly as before; that regression guard
is the first test in the file.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
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0785ac9c79 |
feat(missions): document reader + three-tab IA for the mission page
The mission page made its own output unreadable. Reviewing a research
brief meant scrolling a 300px <pre> nested inside a 260px run box nested
inside the page scroller (plus a 4th scroll region for the description) —
and the text was capped at 6,000 chars server-side with no way to fetch
the rest, so a 53kB brief showed ~11% of itself and silently dropped the
remainder. Eight flat tabs (overview/phases/tasks/team/live/artifacts/
benchmarks/pane) mixed lifecycle, work items, people, telemetry, outputs
and infra at one level, so nothing indicated where the deliverable lived.
Reader:
- GET /api/missions/{id}/documents lists every agent output (titles +
sizes, no bodies); GET .../documents/{run_id}/{index} returns one in
full. Scoped to the mission so a run id from elsewhere can't be read.
- MissionOutputReader: rail (documents grouped by phase) · document ·
outline (headings, click to jump). Exactly one scroll container per
column, never nested. Copy + download .md.
- MarkdownBlock gains fenced code blocks (agent output is full of ```rust,
previously mangled into paragraphs), h4-h6, heading anchors, and an
outlineOf() helper.
Information architecture:
- Three primary tabs with shallow sub-views: RUN (phases/tasks/live) ·
OUTPUT (documents/artifacts/benchmarks) · SETUP (overview/team/pane).
- PhaseRunsList shows a short excerpt with no inner scrollbar and points
at the reader for the full text.
- The header description is clipped, not scrollable; its full text now
has a home in Setup → Overview.
Missions list:
- /api/missions returns MissionListItem — Mission flattened plus
phases_total/phases_done/current_phase, so the JSON stays a strict
superset. Cards render a progress bar and "Coding · 1/2" instead of a
bare status dot.
Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
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37f3f5abfd | fix: mission_runtime_pairing_code in single-row mapping + fmt | ||
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b569688e04 |
fix(mission_runtime): per-mission auto-pair via container log scrape (C3 auth)
The seed-mount approach didnt work: even with the shared runtimes data dir bind-mounted, a fresh gateway instance mints a new pairing key and requires re-pairing. The topology_worker connect returned 401 forever. New approach — per-mission gateways self-pair: - Provisioner tails container logs after start, extracts the X-Pairing-Code from the boot banner - Persists it on missions.runtime_pairing_code (migration 0059) - topology_worker constructs ZeroClawDriveExecutor with THAT code via from_env_for_gateway_with_code, which triggers the lazy /pair handshake on first turn and caches the returned bearer Drops the shared-runtime data-dir mount — each per-mission gateway now owns its own state, restoring the C3 isolation guarantee. |
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5d24fd3460 |
missions: schema + provisioner skeleton for per-mission runtime containers (C3 slice 1)
- migration 0058: adds missions.runtime_container_name + runtime_endpoint
- new mission_runtime module (bollard): ensure_container /
teardown_container. Container is spawned on clawmates_core +
clawmates_edge networks with just /var/lib/clawmates-missions/{id}
bind-mounted so agents scoped to /mission/repo can only see this
missions repo.
- provider API keys forwarded from the server envs so per-mission
runtimes inherit them.
- Mission struct + repo helpers updated for the two new columns +
set_runtime_binding().
- Unit tests cover container naming determinism + entropy.
Not wired to the orchestrator yet — that lands in slice 2.
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f5bba67e38 |
missions: surface per-phase run errors on the phase card
Adds inline failure debugging to the Phases tab. When you see a
phase card marked FAILED, click the collapsed error summary and the
full topology_run.error text expands under it — the exact stack
trace / provider error / whatever the worker recorded.
Backend:
- TopologyRunSummary gains mission_phase_id + team_id + error
fields. list_by_mission SELECT extended; other constructor
(list_recent) explicitly passes None for the new fields.
- GET /api/missions/{id}/runs response now carries all of the
above so the frontend can attribute failures per phase.
Frontend:
- MissionRunSummary type mirrors backend additions.
- MissionCanvas fetches runs alongside mission on load +
auto-refresh; indexes by mission_phase_id in a memoized Map.
- Each phase card renders a per-run row: colored status pill
(running / completed / failed), short run id, finished_at
timestamp. For failed runs, a <details> collapses the error
text — first line as summary, full 4kB in a monospace <pre> on
expand.
Directly unblocks the "phase says Failed but there's no info to
debug" report. Both research and coding phases get this — the code
path is phase-kind-agnostic.
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f0dd0147f6 |
templates: 5 research team templates + category filtering
Adds the operator's five categorized research team archetypes:
1. codebase_research — code archeologist, architecture mapper,
flow tracer, vault scribe. Produces Obsidian vault entries
under Codebases/<repo>/ that make future missions faster.
2. papers_research — domain scout, paper reader, library curator.
Pulls arXiv / Semantic Scholar / conference proceedings, keeps
a structured local library under Papers/<topic>/.
3. insight_research — implementation tracker, novelty hunter,
publication drafter. Bidirectional loop that spots
publication-worthy novelty in our own implementations of
external papers.
4. continuous_research — signal harvester, ranker, digest writer.
Standing sweep of RSS + arXiv daily + GitHub trending; produces
a rolling ContinuousResearch/<date>/digest.md.
5. continuous_improvement — brain inspector, improvement proposer,
improvement evaluator. Standing self-audit that files level-up
proposals for the operator to review + measures the outcome.
Each template ships with role system_prompts + brain_seeds authored
in the same voice as the existing backend/frontend/etc templates —
evidence-first, redlines called out, no invention.
Schema + code:
- 0057_team_templates_category.sql — new column with
CHECK (research | development | security | ops). Existing rows
default to 'development'.
- team_templates::UpsertBuiltin + TeamTemplate carry category
(with default_category = 'development' fallback for
Serialize/Deserialize compatibility).
- team_template_loader reads `category = "..."` from the TOML;
absent defaults to 'development' so old templates keep working.
- Wizard step 3 filters:
Research teams panel → templates.filter(t.category==='research')
Development teams panel → templates.filter(t.category==='development')
Operator can no longer accidentally pick backend as their
"research team".
Test fixture updated with category="development".
The templates ship in the server image via the existing
`COPY templates /etc/clawmates/templates` line — no Dockerfile
change needed.
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3ba0485e7d |
mission progress UI: auto-refresh + Team tab + Live events tab
Fills the biggest UX gap surfaced during the deploy walk: hosted
missions had no live-progress surface at all. Now they do.
Auto-refresh:
- MissionCanvas grows a second useEffect that polls getMission
every 3s while mission.status === 'running'. Stops immediately
on terminal state (completed / failed / cancelled). Phases,
Tasks, Artifacts, Benchmarks all update without a manual click.
Team tab (new):
- MissionTeamTab.tsx — fetches /api/teams/{id} + /api/team/claws,
shows a card per member with role slot + an "Open" pill that
calls onOpenClaw(clawId) → Dashboard flips to AGENT tier with
that claw selected, dropping the operator into the existing
ClawCommandCenter surface (WorkingOnNow, ReasoningStream, etc).
Live events tab (new):
- MissionLiveEvents.tsx — polls /api/missions/{id}/runs every 5s
for the topology_runs bound to this mission, opens one
EventSource per active run against /api/topology-runs/{id}/events,
renders as a chronological scrolling feed with per-event kind
pills + per-run short-id badges. Auto-scrolls unless the
operator scrolled up. New runs auto-attach; terminal runs
close cleanly.
Backend:
- cm-db::repo::topology_runs::list_by_mission — SELECT ... FROM
topology_runs WHERE mission_id = $1 ORDER BY created_at DESC.
Uses runtime sqlx::query (not the macro) to avoid a sqlx cache
regen just for this route.
- TopologyRunSummary gains #[derive(Serialize)] + rfc3339 codecs.
- GET /api/missions/{id}/runs — workspace-scoped, returns
{ runs: [...] }.
Dashboard wires onOpenClaw on MissionCanvas → setAgentId + setTier("claw").
Verified: cargo check --workspace + tsc --noEmit + eslint --quiet
all green.
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d8c8793c4a |
ci fixes: cargo fmt, eslint entities, max-lines split
CI on
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d6dbd044c8 |
herdr phase 1a: missions runtime_kind + target_node schema
First slice of the second-runtime path. Missions now carry
runtime_kind ('zeroclaw' | 'local_herdr') + target_node_id (FK to
nodes) so the mission_orchestrator + phase executors can dispatch
differently depending on where the operator wants execution.
Migration:
- 0055_missions_runtime_kind.sql — adds runtime_kind (NOT NULL
DEFAULT 'zeroclaw' + CHECK), target_node_id (nullable FK ON
DELETE SET NULL). All existing missions backfill to 'zeroclaw'
so behavior is unchanged.
- topology_runs also grows herdr_workspace_id / herdr_tab_id /
herdr_pane_id text columns so a resumed run can reattach to the
same Herdr pane instead of spawning a duplicate.
Code:
- cm-db::repo::missions — Mission + NewMission carry the two new
fields; all SELECTs updated; INSERT COALESCE-defaults
runtime_kind to 'zeroclaw' when unspecified.
- routes::missions::create — validates runtime_kind and requires
target_node_id when kind='local_herdr' (400 otherwise).
- lib/api/missions.ts — RuntimeKind type; Mission carries both;
CreateMissionRequest optional fields.
Behavior is opt-in: no path exists yet to actually create a
local_herdr mission — that lands in Phase 1c (wizard picker). This
commit just makes the schema + validation in place so Phase 1b's
fleet_herdr dispatch module can key on it.
Tests: mission_orchestrator integration test still green.
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1f0117e35a |
mission canvas: add / edit / delete toolbar controls
Top-right toolbar grows three CRUD controls per your request:
- Plus (always visible) — opens MissionWizard, selects the new
mission on create
- Pencil (draft-only) — opens EditMissionModal for title +
description; PATCHes /api/missions/{id}
- Trash (always visible) — window.confirm then DELETEs; sidebar
selection clears via new onDeleted callback
Backend:
- cm-db::repo::missions::update_meta(id, ws, title?, description?)
— COALESCE-based partial patch
- cm-db::repo::missions::delete(id, ws) — hard delete, cascades
via FKs on phases/tasks/artifacts/benchmark_snapshots
- PATCH /api/missions/{id} (draft-only) + DELETE /api/missions/{id}
Frontend:
- lib/api/missions — updateMission + deleteMission clients
- MissionCanvas — three toolbar buttons, EditMissionModal
(title + textarea for description), local wizard state
- Dashboard — passes onSelect + onDeleted so sidebar reacts to
create + delete without stale selection
Edit is draft-only (backend enforces + button hidden past draft) so
in-flight missions can't have their brief mutated out from under
running agents. Delete is unconditional — operator responsibility to
Cancel first if a run is live.
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854a617777 |
task #23: retire per-team ZeroClaw container coords (Option A)
Missions never populated teams.zeroclaw_container /
teams.zeroclaw_gateway_url — those were research/loops-era columns
for long-lived per-team containers. Every mission-materialized team
runs inside the SHARED runtime as claws-as-agents provisioned via
RuntimeProvisioner. Reading zeroclaw_container on a mission row
always came up NULL, making security_scan + benchmark_runner
silently fail with "mission has no team container yet."
Changes:
- migrations/0054_drop_teams_zeroclaw_columns.sql — DROP both
columns.
- cm-db/src/repo/teams.rs — delete dead helpers
team_container_coords + set_team_container_coords.
- cm-api/src/security_scan.rs — replace team_container_for_mission
with exec_target(pool, mission_id): container from env
CLAWMATES_RUNTIME_CONTAINER (default clawmates-runtime); workdir
from env CLAWMATES_MISSIONS_ROOT + /{mission_id}/repo
(same convention pdf_renderer uses); precondition that mission
must have repo_id bound.
- cm-api/src/benchmark_runner.rs — same shape.
Follow-up (not in this commit): mission_orchestrator + compose stack
still need to wire a per-mission repo checkout under
CLAWMATES_MISSIONS_ROOT before scan/bench actually produce findings.
Columns cleanup here removes the misleading silent-fail; the
missing-checkout gap is now surfaced with a clear error.
Verified: SQLX_OFFLINE=true cargo check --workspace + cargo test
-p cm-api --test mission_orchestrator both green.
Closes task #23.
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fdb8cfeecc |
slice 9 cleanup: drop legacy research/loops backend + tables
Retires the legacy research/loops backend after the missions arc
(slices 1-9) fully replaced it. Frontend cutover was 4663348; this
commit finishes the job on the backend + database.
Migration:
- 0053_drop_legacy_research_loops.sql — drops the 8 legacy tables
(research_topics, research_topic_agents, research_outcomes,
research_publish_approvals, loops, loop_agents, loop_orgs,
loop_teams) and the 3 topology_runs FK columns
(research_topic_id, loop_id, iteration). parent_run_id stays;
recursive_exec still uses it.
Files deleted (11):
- crates/cm-api/src/routes/{research,loops,research_setup,
research_pipeline,wizard_repo,probe}.rs
- crates/cm-api/src/research_container.rs
- crates/cm-db/src/repo/{research_topics,research_outcomes,
research_publish_approvals,loops}.rs
- crates/cm-runtime/src/loops.rs
- crates/cm-api/tests/research_publish_role.rs
Files edited:
- crates/cm-api/src/lib.rs — dropped 20 legacy route registrations
(all /api/research/* + /api/loops/* + /webhooks/loops + probe)
and module decls
- crates/cm-api/src/topology_worker.rs — deleted legacy dispatch
(freeze_research_outcome, advance_loop_after_completion,
continue_initial_burst, maybe_transition_research_topic,
parse_reorder_rationale, per-topic/loop gateway resolver).
reap_stuck_runs now keys on mission_id (not topic_id).
Executor path unconditionally uses ZeroClawDriveExecutor::from_env
— mission_orchestrator provisions each claw as an agent inside
the shared runtime via RuntimeProvisioner, so per-team gateway
resolution is no longer applicable.
- crates/cm-api/src/routes/topology.rs — deleted container-log SSE
endpoint (research/loop-specific), dropped loop_id filter and
iteration field from ListRunsQuery/RunSummary
- crates/cm-api/src/routes/world.rs — removed
active_research_topics/active_loops/preseed_repo_paths;
World SSE no longer emits repo:{topic}/loop:{id} landmark orbs
(follow-up task #21 tracks adding mission:{id} equivalents)
- crates/cm-api/src/runtime_provision.rs — removed now-unused
mint_workspace_service_token
- crates/cm-db/src/repo/topology_runs.rs — removed 9 legacy
helpers (research_topic_id lookup, loop_id_for_run,
iteration_for_run, active_runs_for_research_topic, etc.)
- crates/cm-db/src/repo/teams.rs — removed 4 dead helpers
(team_for_loop, team_for_research_topic + setters)
- crates/cm-api/tests/topology_jobs.rs — removed loop/topic
tests, dropped enqueue_run_with_topic helper
- crates/bins/clawmates-server/src/main.rs — removed
spawn_loop_scheduler call
- crates/cm-api/src/routes/mod.rs, crates/cm-db/src/repo/mod.rs,
crates/cm-runtime/src/lib.rs — module decls stripped
sqlx cache: regenerated against post-migration schema
(71 files changed, ~+70 / -8896 net)
Test/build: SQLX_OFFLINE=true cargo check --workspace clean;
cargo test --workspace --no-run clean.
Follow-up (task #21): World view lost the in-flight-work landmarks
when repo:{topic} / loop:{id} orbs disappeared. Add mission:{id}
orbs as the missions-era replacement.
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56201a6985 |
mission canvas: add Refine button + markdown-rendered description
Adds a Refine button to the left of Refresh + Launch on the mission
detail toolbar (draft-only). Clicking it POSTs to a new endpoint that
calls Gemini 2.5 Flash to rewrite the user's freeform description into
a coherent, sectioned Markdown brief (Objective / Context / Scope /
Constraints / Acceptance Criteria / Open Questions) ready for the
research + coding agents to ingest cleanly.
Backend:
- crates/cm-api/src/mission_refiner.rs — Gemini call with a
system prompt that preserves user-provided facts, avoids
invention, and emits raw markdown (not JSON).
- POST /api/missions/{id}/refine — draft-only, 400 on empty
description or non-draft state.
- cm-db::repo::missions::set_description helper.
Frontend:
- MarkdownBlock — tiny zero-dep renderer for h1/h2/h3, bullet +
numbered lists, **bold**, `code`, paragraphs. Deliberately
small; the refiner emits a bounded subset.
- MissionCanvas — Refine button (Sparkles icon, secondary style)
to the left of Refresh; description now renders through
MarkdownBlock instead of a single <p>. Disabled while
description is empty or a refine is in flight.
- lib/api/missions — refineMission client.
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9b5e63cbb7 |
slice 8.5: per-agent + per-team level-up endpoints
Level-up analyzes an agent's brain + recent run outcomes (or a
whole team's aggregate state), calls Gemini 2.5 Flash for structured
JSON proposals, and persists them as pending level_up_proposals
rows. Reviewer approves a subset via /apply; the applier commits
only those items.
Migration 0052 adds level_up_proposals (id, workspace_id, agent_id
XOR team_id via CHECK constraint, status, payload JSONB,
applied_items[], model, created_by, approved_by, created_at,
applied_at) + workspace/pending/agent/team indexes.
Rust surface:
- cm_db::repo::level_up::{insert, get, list_pending, mark_applied,
mark_rejected}
- cm_api::level_up::{propose_agent, propose_team, apply}
Item kinds handled by apply():
identity_refinement → UPDATE agents.system_prompt
skill_add → agent_skills_ext INSERT
skill_candidate → workspace-scoped skills INSERT
(deterministic id per (workspace, name))
brain_consolidation → set_agent_md on the brain (unlike
brain_seed::ingest, this overwrites)
roster_change / mcp_bundle_change — logged as
"not auto-applied, human runs
team-wizard" (structural changes need
human review of side effects).
API:
- POST /api/claws/{id}/level-up → { proposal_id }
- POST /api/teams/{id}/level-up → { proposal_id }
- GET /api/level-up-proposals → pending list
- GET /api/level-up-proposals/{id}
- POST /api/level-up-proposals/{id}/apply { approved_item_ids }
- POST /api/level-up-proposals/{id}/reject
Uses Gemini 2.5 Flash with response_mime_type: "application/json"
so the model returns structured JSON directly (no ```json fence
stripping needed). Configurable via CLAWMATES_LEVEL_UP_MODEL.
Follow-ups:
- Frontend diff-review UI (pick items, approve/reject)
- roster_change / mcp_bundle_change appliers (currently manual)
- Anthropic + OpenAI proposer variants
- Promote workspace-scoped skills to builtin via a curator flow
Co-Authored-By: Claude Opus 4.7 <[email protected]>
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f843c9ddb1 |
slice 7: before/after benchmark runner
Executes a benchmark harness inside the mission's team container
and records the resulting metrics as a benchmark_snapshots row keyed
on (phase_id, iteration). Baseline pass (iteration=0) captures
before_metrics; each post-iteration call captures after_metrics +
computes delta vs baseline.
Rust surface:
- cm_db::repo::missions::upsert_benchmark_snapshot / benchmark_snapshots_for
- cm_api::benchmark_runner::{baseline, after_iteration, run}
- Harness enum: Auto | Criterion | CargoBench | VitestBench |
PytestBench | Shell (each with a command() vector)
- Auto detection peeks at the repo layout inside the container
(Cargo.toml → CargoBench, package.json → VitestBench, pyproject
→ PytestBench). Falls back to a Shell echo when nothing
identifiable.
- Bencher-format line parser extracts (name, ns_per_iter,
plusminus) so criterion + `cargo bench` output become structured
samples the canvas can diff.
- compute_delta pairs samples by name, emits {before_ns, after_ns,
delta_pct, direction: improved|regressed}.
API:
- POST /api/missions/{id}/benchmark { phase_id, slot, iteration? }
triggers baseline or after run and returns the mission's full
snapshot list.
- GET /api/missions/{id} now includes `benchmarks[]` in the detail
payload.
Frontend:
- New Benchmarks tab on MissionCanvas with iteration + driver
header, plus a 4-column grid (bench / before / after / Δ%) when
delta samples are present. Improved deltas render green,
regressions red.
- TS types + triggerBenchmark() helper in lib/api/missions.ts.
Wiring notes:
- team_container_for_mission reads teams.zeroclaw_container — that's
populated by topology_worker::try_team_gateway_url on first run,
so trigger baseline AFTER the mission's first phase spawns the
container.
- Not auto-fired yet by phase execution; that's the "template phase
executor" work that spans Slices 4-8. Manual API trigger works
today; automated hook is a follow-up.
Co-Authored-By: Claude Opus 4.7 <[email protected]>
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85a97dffca |
slice 3.5d: agent_template_link + brain seed helper + skills merge
Ships the lineage layer that ties agents back to their team template
and wires the MCP skills server to actually merge template default
skills with per-agent overrides.
Migration 0050 adds `agent_template_link` (agent_id PK, template_id,
template_version, role_slot, seeded_at, created_at + indexes for
template/role lookups). Populated at agent-materialization time by
Slice 4's mission-launch orchestrator; read here by the skills MCP
server and by future level-up (Slice 8.5).
New Rust surface:
- cm_db::repo::agent_template_link (upsert / get / mark_seeded /
agents_for_template — the last is what level-up's "prompt upgrade
on template N+1" query needs)
- cm_api::brain_seed::ingest(claw_id, seed_md, identity_prompt)
opens cm_brain::ClawBrain on spawn_blocking, sets system_prompt
on first touch, writes seed as agent_md, commits. Idempotent —
skips when agent_md already populated.
- cm_api::mcp_skills::mcp_skills tools/call now resolves the caller
agent's template + role via agent_template_link and merges
template default skills with per-agent overrides (was overrides-
only in Slice 3.5b).
- cm_api::team_template_loader now binds template_role_skills after
upserting each template — looks up each declared skill by name,
attaches with pin_in_context=true for foundation skills and the
first two role skills. Missing skills log + skip.
- Boot ordering: skills load BEFORE team templates so the binding
lookup resolves.
Follow-up (Slice 4): mission-launch orchestrator calls brain_seed::ingest
+ agent_template_link::upsert when minting a team from a template.
Until that lands, the link is populated only by manual writes; the
MCP merge is silent-no-op for agents without a link (falls through
to overrides-only), which matches the pre-3.5d behavior.
Co-Authored-By: Claude Opus 4.7 <[email protected]>
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5f988ce022 | fix: legacy skills::create mirrors title into new name column | ||
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1153d72d00 |
slice 3.5a: skills catalog — the "how to think" layer
Introduce the skills catalog: the second half of the two-layer agent
model (skills teach agents HOW to think about a problem; MCP servers
give them the ABILITY to act). Delivery via MCP resources lands in
Slice 3.5b; this slice ships the data model + API surface.
Migration 0049 extends the legacy `skills` table (from 0001_init.sql,
originally a workspace catalog of markdown snippets) with the richer
typing we need — name, when_to_use, tags, source_kind, current_version
— rather than duplicating tables. Also adds:
- skill_versions (version history for level-up promotions +
rollback; back-pointer via promoted_from
JSONB records agent_id / research artifact /
brain memory that produced it)
- template_role_skills (m2m binding skills to team-template roles
with pin_in_context + order_idx)
- agent_skills_ext (per-agent overlay: include=true adds a skill
to the bundle; include=false prunes a
template default for this specific agent)
Rust surface:
- cm_db::repo::skills_catalog with typed Skill/SkillVersion/
AgentSkillBinding structs + upsert_builtin (idempotent — bumps
version + appends to skill_versions ONLY when body changes) +
list_visible/get/get_by_name reads + template + agent binding
helpers + effective_for_agent (merges template defaults with
agent overrides, applies exclude precedence, batch-fetches skill
bodies)
- cm_api::routes::skills_catalog with:
GET /api/skills — list visible
GET /api/skills/{id} — detail
GET /api/claws/{id}/skills — effective binding (accepts
template_id + role_slot as query args to merge in template
defaults)
Follow-ups:
- Slice 3.5b: clawmates_skills MCP server exposes catalog as MCP
resources, honoring pin_in_context for auto-injection
- Slice 3.5c: seed ~40-60 builtin skills across the 6 stacks
Co-Authored-By: Claude Opus 4.7 <[email protected]>
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3f77370a6e | fix: remove unused sqlx::Row imports in team_templates | ||
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9ba5c06a1a |
slice 3: 6 team templates seeded from TOML recipes
Team templates are the canonical rosters + tool bundles that mint
concrete teams for a mission. Every builtin ships as a TOML recipe
under templates/teams/*.toml, loaded into the DB at server boot.
Migration 0048 adds:
- team_templates (id, key, name, stack, default_topology,
risk_profile, mcp_bundles, version, source,
workspace_id)
- template_roles (m2m: template_id + slot; system_prompt,
skills[], brain_seed)
- teams gets template_id + template_version for level-up lineage
Ships 6 builtins:
- rust_sdlc — planner/coder/tester/reviewer/committer for Rust
- backend — api_designer/db_engineer/coder/tester/committer
(Postgres, DuckDB, graph DBs, wire protocols)
- frontend — designer/coder/tester/committer (React + Tailwind + ShadCN)
- mobile — designer/coder/tester/committer (Expo, RN, iOS, Android)
- gpu — arch_analyst/kernel_author/bench_engineer/coder/committer
(CUDA, Metal, ROCm from Rust)
- threejs — scene_designer/coder/shader_author/perf_engineer/
committer (three.js, WebGL, WebGPU)
Each role has a versioned system_prompt + skill list + brain_seed
markdown. Skills column is a name array today; Slice 3.5a promotes it
to a typed m2m join with the real skills catalog.
Server boot:
- team_template_loader::load_builtins reads TOML from
/etc/clawmates/templates/teams (container) or templates/teams (dev),
upserts idempotently. Deterministic uuid per template key (sha256
of a fixed namespace + key) so ids are stable across boots.
- Dockerfile copies templates/ to /etc/clawmates/templates.
Read API:
- GET /api/team-templates — list all
- GET /api/team-templates/{id} — detail with roles
Wizard:
- Step 3 rewired from a raw team_id text field to a template picker
with "LLM auto-provision" as the default option + one card per
builtin, showing stack, topology, risk profile, and description.
- Mission create now passes team_template_id (not team_id) so phase
execution knows which template to mint from.
Co-Authored-By: Claude Opus 4.7 <[email protected]>
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a72da9dff0 | fmt: apply cargo fmt to missions | ||
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fbefc67878 |
slice 1: missions data model + migration
Introduce the unified `missions` tier that will replace the current
research_topics + loops split. This slice ships the data model +
backfill + skeleton REST surface; the old wizards keep working in
parallel until Slice 9's big-bang cutover.
Migration 0047 adds:
- missions (top-level workflow: template_kind + team +
schedule + status + config)
- mission_phases (ordered {research|coding|benchmark|
security_scan} phases per mission)
- mission_tasks (typed units of work, e.g. INT-XX cards,
UPSERT-keyed on (phase_id, external_id))
- mission_artifacts (MD/PDF/benchmark/security/diff files with
a pending queue for the PDF renderer worker)
- benchmark_snapshots (before/after pairs per iteration)
Backfill copies existing research_topics + loops rows into the new
tables as one-shot missions with the appropriate template_kind, so
Slice 2's UI can render the full history immediately.
New Rust surface:
- cm_domain: MissionId, MissionPhaseId, MissionTaskId, MissionArtifactId
- cm_db::repo::missions: Mission/MissionPhase/MissionTask/
MissionArtifact structs + insert (txn-wrapped)/get/list/set_status/
phases_for/set_phase_status/upsert_task/tasks_for/register_artifact/
artifacts_for/next_pdf_pending/set_pdf_result
- cm_api::routes::missions: skeleton list/create/get/set_status
routes registered at /api/missions/*
Follow-up slices layer richer behavior (template dispatch, phase
execution, task parsing, artifact rendering) on this foundation.
Co-Authored-By: Claude Opus 4.7 <[email protected]>
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49f94a5360 |
mcp door: mint workspace-owner service session for team runtime bearer
The runtime template's static clawmates_door bearer is rejected by cm_auth::authenticate() (needs an auth_sessions row). Every per-team agent was getting `unauthorized: missing or invalid bearer token` and `0 tool(s) registered from 0 server(s)`. Add AuthService::mint_service_session + users::owner_of_workspace and mint a 30d service session in try_team_gateway_url; inject it into the freshly-spawned team container's config.toml [[mcp.servers]] clawmates Authorization header via prewrite_daemon_config_with_risk (bearer arg). Follow-up: apply the same pattern to research::spawn (per-topic) and per-loop spawn paths. Co-Authored-By: Claude Opus 4.7 <[email protected]> |
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d687a00524 |
teams: zeroclaw container coords + coding_readwrite risk profile
Slice 3a of the per-loop-team arc — prerequisites for the runtime spawn hookup that lands in 3b: 0046 migration - ALTER TABLE teams ADD zeroclaw_container TEXT - ALTER TABLE teams ADD zeroclaw_gateway_url TEXT Both NULL until the runtime's spawn_team fn (3b) provisions the container and persists its coordinates. Mirrors the shape already on research_topics (0038) so the resolver code path can generalize. cm-db - team_container_coords / set_team_container_coords: dynamic sqlx::query() readers/writers for the new columns. Runtime template (gw-04, out-of-band edit on /var/lib/clawmates-runtime-template/config.toml + shared runtime /root/clawmates-runtime/data/.zeroclaw/config.toml) - New [risk_profiles.coding_readwrite]: adds file_write + shell on top of the research_readonly baseline. Still excludes http_request / browser / composio (egress stays behind the MCP door). Slice 3b will add spawn_team (bind-mounts paired-topic repo, uses team-scoped state dir, injects team.risk_profile into the config template) and rewire topology_worker to resolve gateway URL through team_id when the loop has one. |
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6066e93889 |
teams: per-team runtime posture (risk_profile + mcp_bundles) + FK from loops/topics
Foundation slice for letting a coding loop bring its own team instead
of reusing the paired research topic's team. Turns out the teams
table already exists (0010_teams.sql) with full CRUD — this scales
back to the minimal missing bits:
Schema (0045_teams.sql)
- ALTER TABLE teams ADD risk_profile TEXT (NULL = template default)
- ALTER TABLE teams ADD mcp_bundles JSONB DEFAULT '[]'
- ALTER TABLE loops ADD team_id UUID REFERENCES teams ON DELETE SET NULL
- ALTER TABLE research_topics ADD team_id UUID REFERENCES teams
- Two partial indexes (team_id NOT NULL) for the future cascade queries
cm-db (dynamic sqlx::query so the existing get_team's compile-time
cache doesn't need regenerating):
- TeamRuntimeConfig struct
- get_team_runtime_config / set_team_runtime_config
- team_for_loop / team_for_research_topic (resolvers)
- set_team_for_loop / set_team_for_research_topic (binders)
cm-api
- GET /api/teams/{id} now surfaces risk_profile + mcp_bundles
- PATCH /api/teams/{id}/runtime-config sets them
Not touched (comes in follow-up slices):
- Wizard picker exposing 'reuse research team' vs 'fresh coding team'
- Runtime container spawn keyed on team_id
- Migration of existing paired coding loops onto their own team
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e3ef3fd056 |
research: fix Draft 'Invalid Date' + stale-error leak in pipeline card
Two cosmetic bugs surfaced by the successful v0.8.3 pipeline run: 1. **'produced Invalid Date'** — research_outcomes.created_at was an OffsetDateTime serialized by time's default array format (`[y, ordinal, hh, mm, ss, ns, tz]`), which browser's `new Date(...)` can't parse. Add `#[serde(with = "time::serde::rfc3339")]` matching the pattern already in threads.rs / routine_runs.rs. 2. **Stale error text on pipeline card** — the runs stage's `latest_error` walked every run by `created_at DESC` and returned the first non-empty error, so a topic with an earlier failed run + a later completed run kept displaying the old error next to '1 completed'. Now the error only surfaces when the MOST RECENT run itself failed. Historical failures stay in the run count but don't leak their message. |
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f70f6c679e |
research: errored-state card + one-click rerun (no wizard re-entry)
When a topic ends up parked in 'processing' with all runs failed and nothing in flight, the sidebar card was still spinning as if progress were happening. Now: Backend - topology_runs::run_counts_by_research_topic — batch query that returns (in_flight, failed-since-last-success) per topic. Used by the list endpoint; dynamic sqlx::query() so no prepare needed. - TopicListItem DTO gains runs_in_flight + runs_failed. - start_topic status guard relaxed: allow (standby) OR (processing AND runs_in_flight == 0). Blocks accidental double-fires on a live pipeline; permits rerun on a failed one. Same request body, same behavior once accepted, so the frontend just POSTs /research/:id/start on the RotateCw click. Frontend - ResearchList detects errored: status===processing && !in_flight && failed>0. Swaps the MiniSpinner for a red AlertTriangle and changes the status text to 'error · N failed'. - New RotateCw icon button next to the delete Trash — same button cluster, one click, no wizard re-entry required. Disables while a request is in flight; error surfaces in the sidebar's shared error banner. |
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1d69866bcf | research canvas: collapsible sidebar + live topology-run logs (#6) | ||
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7e0620fd08 |
research: don't advance to reviewing without an outcome + guard-before-write
Two bugs that combine to produce the 409 you get when clicking Approve:
1) notify_run_completed (topology_worker post-hook) was advancing
topic status processing → reviewing whenever the last sibling run
terminated — success OR fail. A failed run with 0 outcomes still
pushed the topic to `reviewing`, the canvas rendered the "Request
publish" affordance, and the reviewer clicked Approve on nothing.
Fixed by adding an EXISTS(research_outcomes …) clause to the
UPDATE. Topic stays in `processing` when no outcome exists; the
loop's next iteration still has a chance to produce one.
2) decide_publish was calling
research_publish_approvals::decide(approve=true)
FIRST (which flips the row to `status='approved'`) and then
running the "no outcome? 409" guard SECOND. On the 409 return,
the DB was left half-flipped: approval says approved, topic still
in reviewing, no outcome exists, and every future click to the
same approval returns 409 on the "already decided" guard —
leaving reviewers with no way forward.
Fixed by moving the outcome-existence check BEFORE the decide()
call. On 409 now nothing was written, so the reviewer can try
again cleanly once an outcome is produced.
Also unstuck the current stuck row out-of-band (SQL UPDATE to reset
the approval to pending + topic to processing) so the user isn't
forced to delete the topic to escape the 409 loop.
sqlx dynamic query — the new EXISTS clause wasn't in the offline
cache so I switched notify_run_completed to plain `sqlx::query`.
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bfcdca0583 |
research-canvas: managed-by-loop UI + start_topic guard (fold cleanup)
Closes the UX gap the fold introduced: the topic canvas was still showing "Start research" for standby-state topics even when a scheduled loop already owned the runs. Clicking it would 409 (or worse: race the loop into a duplicate run). Topic status stayed at standby forever because the loop path bypassed start_topic's set_status transition. Four changes: 1. **Backend status transition** — compose_and_enqueue_iteration for kind='research' now calls set_status_if(standby, processing) on the topic before the run is enqueued. New DB helper set_status_if only advances when the current status matches the "from" arg — safe against races and re-invocations. Later iterations no-op since the topic is already past standby. 2. **has_managed_loop on TopicDetail** — get_topic hydrates a new ManagedLoop struct (loop_id, title, enabled, next_fire_at, last_run_id, schedule_summary) when a kind='research' loop is bound to the topic. summarize_schedule() derives a human string from the loop's triggers jsonb (e.g. "cron: 0 3 * * * · on new artifact", "one-shot", "manual"). New DB helper loops::research_loop_for_topic returns the row. 3. **Canvas branch** — nextAction takes a managedByLoop flag; when set + status=standby, returns null (no button). The canvas renders a "MANAGED BY LOOP" strip below the topic title showing loop name, schedule summary, next fire time, and enabled dot. Reviewer buttons (Request publish / Approve / Reject) still show normally in later states — reviewers should still promote outcomes even when a loop is producing them. 4. **start_topic guard** — refuses with 409 when a research loop already owns the topic. Closes the direct-POST hole for anyone bypassing the frontend. TS type + summarize_schedule live in the same commit so an old client hitting a new backend just ignores the extra field (no breakage), and a new client hitting an old backend renders the classic buttons (managed_by_loop is optional). |
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51756d0e68 |
clippy: struct-bundle enqueue_iteration_with_topic + fix doc list warnings
CI's clippy stage failed with -D warnings on three classes of lint:
1. map_clone in loops::recent_reorders — .map(|a| a.clone()) is the
pattern clippy wants replaced by .cloned(). Trivial swap.
2. too_many_arguments on enqueue_iteration_with_topic (8 args, ceiling
7). Refactored the caller-side surface into a new
IterationEnqueue<'a> struct with fields for each column. Matches
the pattern research::NewTopic + loops::NewLoop already use for
the same clippy ceiling. Callers in loops.rs (routes) + the
enqueue_iteration wrapper updated to build the struct literal.
3. doc_lazy_continuation + doc_list_indentation — two doc comment
blocks used ambiguous list-like layouts:
- compose_iteration_task's ASCII-art prepended-block preview:
wrapped in a ```text fence so clippy stops parsing "RESEARCH
ARTIFACT:" etc as list continuation.
- fire_initial_burst_if_set's mention of `burst - 1`: rewrote so
"- 1" doesn't start a line and get misread as list marker.
Purely a refactor + doc pass; no behavior change.
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3e42b1ea39 |
research-wizard: schedule step (once/nightly/manual) + paired coding loop
Completes the research/loop fold. The wizard now closes with a
"How should this research run?" step; picking any mode materializes a
kind='research' loop bound to the topic, and an optional checkbox
adds a paired kind='exec' loop that consumes each new artifact.
Frontend:
- ResearchWizard grows from 5 to 6 steps. Step 6 is the schedule
picker:
· Just once — initial_burst=1, no other triggers
· Nightly — initial_burst=1 + cron "0 3 * * *"
· Manual — webhook_enabled=true
Below the radios, an optional card offers "Also create a coding
loop that consumes each new artifact" — creates a paired
kind='exec' loop with on_artifact_update=true + initial_burst=1
bound to the same topic.
- createTopic API type extended with `schedule` + `create_paired_coding_loop`.
- Both fields ride the existing POST /api/research call; back-compat
is preserved when the wizard omits them.
Backend:
- CreateTopicRequest gains TopicSchedule + create_paired_coding_loop.
- After topic + agent attach, create_topic calls
materialize_topic_loops which:
1. Creates a research-kind loop titled "Research · <topic>" bound
to the topic. Triggers vary by schedule mode; next_fire_at
computed from cron for nightly. Falls back silently if
loop-create errors so the topic still lands.
2. Flips kind to 'research' via loops::set_kind (NewLoop doesn't
take kind directly — default is 'exec' for backward compat).
3. Optionally creates a coding loop titled "Coding · <topic>"
with on_artifact_update=true + initial_burst=1.
- cm_db::repo::loops::set_kind — trivial UPDATE helper used by the
materialize path.
D-answer callouts:
- D1 (fold): every runnable thing is now a loop. "Just once" is a
research loop with initial_burst=1 and no other triggers.
- D2 (inherit): both paired loops carry the same source_research_topic_id
— repo binding lives on the topic, not duplicated.
- D3 (coordinator resolves): the research iteration prompt (from the
earlier commit) instructs the team to preserve stable INT ids and
mark deprecations; coding loops' consumed lists stay valid across
versions.
Follow-ups queued:
- Kind pill on LoopsList cards (research=purple, exec=cyan) so users
can tell them apart at a glance.
- Extract start_topic's task-build so kind='research' iterations
reuse the same coordinator prompt shape as one-shot runs (they
currently use a simpler refresh-oriented prompt; that's fine for
MVP but a rich shared build would give better parity).
- Research topic sidebar shows "linked to N loops" badge.
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91a51dce11 |
loops: kind='research' dispatch — research runs as loops
Delivers the research/loop fold: kind='research' loops run the research pipeline each iteration, appending a new research_outcomes version. The paired on_artifact_update fan-out then wakes up any kind='exec' loops bound to the same topic to consume new INTs. Every runnable thing is now a loop (D1). Backend — DB helpers: - cm_db::repo::loops::kind_and_binding — reads (kind, source_topic, task_template) so callers can dispatch without hydrating the whole Loop struct. - cm_db::repo::loops::enqueue_iteration_with_topic — new variant that sets research_topic_id on topology_runs alongside loop_id, so the completion hook's freeze_research_outcome writes a new outcome version for research-kind iterations. - cm_db::repo::research_topics::get_any_workspace — cross-workspace fetch used by the research task builder (the loop row is authoritative for the workspace binding via kind_and_binding). Backend — dispatch: - routes::loops::compose_research_iteration_task — builds the coordinator prompt for a research iteration: topic title + description + outcome_kind + prior version pointer + refresh instructions (survey new sources, preserve stable INT ids, mark superseded items as deprecated rather than delete). The completion hook writes the resulting synthesis as research_outcomes v(prior+1). - routes::loops::compose_and_enqueue_iteration — one-shot dispatch: reads the kind, picks compose_iteration_task (exec) or compose_research_iteration_task (research), enqueues with or without research_topic_id set. All four enqueue callsites now route through compose_and_enqueue: - create_loop (initial_burst) - run_now - webhook_receive - topology_worker::continue_initial_burst - topology_worker::freeze_research_outcome (on_artifact_update fan-out) Research-kind loops naturally form the "nightly refresh" side of a paired research + coding loop: research writes a fresh outcome version → fan-out wakes exec loops with on_artifact_update → coding loops consume the next INT (which the research loop may have just added). D2 answer (inherit repo binding): repo lives on the topic; both loops sharing the source topic id read from the same context, no duplication. D3 answer (coordinator resolves): the research iteration prompt tells the team to preserve stable INT ids and mark deprecations rather than delete, so coding loops' consumed lists stay valid across versions. Follow-up (next commit): ResearchWizard schedule step — "Just once / Nightly / Manual" that creates the paired research-kind loop with initial_burst=1 (just once) or cron 0 3 * * * (nightly) + optional paired coding loop with on_artifact_update. |