| Artifact receiver | an HTTP server inside the reconciler process, on the host, port `OUSAST_ARTIFACT_PORT` (18090) | `src/openultrasast/plane/egress.py` (`Receiver`, `RECEIVER_PORT`) |
| How actors reach the receiver | the Service `ousast-receiver.ax-system` (port 80) with a selector-less EndpointSlice whose endpoint is the kind network's gateway address on the host; the runner dials the ClusterIP with the Service name as `Host`, which the egress gateway allows by hostname | `ops/ax/receiver-service.yaml.tmpl`, rendered by `up.sh` |
| ax control plane, Agent Substrate, egress gateway, router | the kind cluster (`ax-system`, `ate-system`) | installed by `ops/ax/up.sh` from the upstream checkouts under `~/.cache/ousast/ax-src/` |
| Tasks | one actor per Task in a gVisor worker; two warm workers of 1 CPU / 1.5 GiB | `ops/ax/workerpool.yaml.tmpl` |
| Runner image | the kind-local registry `localhost:5001`, pinned by digest (`~/.cache/ousast/ax-src/runner-image`) | `plane/Dockerfile.runner`; the `image` of every template under `plane/tasks/` |
| Provider keys | read from the operator's environment or `.env` (which never overrides an exported variable), sent only in the start request through a `kubectl port-forward` to `svc/atenet-router` | `src/openultrasast/plane/router.py` |
| Memory store | `OUSAST_MEMORY`: a file store under `~/ousast-results/plane/memory` by default, or `s3://<bucket>[/<prefix>]` on any reachable S3-compatible server (RustFS is the tested one) | `src/openultrasast/plane/memory.py`, [Memory](memory.md), [RustFS setup](rustfs.md) |
| Run state and artifacts | `$OUSAST_RESULTS/plane/<run>/` on the host (default `~/ousast-results/plane/`) | `reconciler.py` (`run_dir`) |
Only the reconciler talks to the memory store: a sandboxed task cannot read it, so the loop's
`memory-snapshot` is seeded by the reconciler before the Run ([The plane on ax](plane.md)).
## A. This host: the local setup (implemented)
What `ops/ax/up.sh` needs on the PATH: `docker`, `go`, `kubectl`, `kind`, `ko` and `ax` (it
refuses to start when one is missing). Tools live in `~/go/bin` and `~/.local/bin`; sources and
rendered files in `~/.cache/ousast/ax-src/` (`OUSAST_AX_SRC`).
1.**Bring up the cluster and the plane.**
```bash
ops/ax/up.sh
```
Idempotent: each step is skipped when already done. It creates the kind cluster
(`KIND_CLUSTER_NAME`, default `ousast`) with its registry (`KO_DOCKER_REPO`, default
`localhost:5001`), installs Agent Substrate, applies the egress gateway (the agentgateway
variant, one prebuilt image) when the install left it out, deploys the ax control plane, applies
the receiver Service with the host's kind-gateway address as its endpoint, applies the gVisor
worker pool, builds and pushes the runner image and writes its digest pin to
`~/.cache/ousast/ax-src/runner-image`, installs the `ax` CLI from the deployed checkout (a release
CLI skews from the server), and runs one smoke Task. It ends by printing the host's memory and the
kind containers' usage.
2. **Check it.**
```bash
uv run ousast plane doctor
```
Four checks: the kind context is reachable, every pod in `ate-system` and in `ax-system` is ready,
and the registry at `localhost:5001` holds `ousast-runner`. Each failing line names
`ops/ax/up.sh` as the fix. `doctor` is informational: `ousast plane run` does not call it.
3. **Run the end-to-end smoke Run.**
```bash
ops/ax/smoke-run.sh
```
It renders `ops/ax/smoke-run.yaml.tmpl` with the current runner digest and submits the Run
`ax-e2e-smoke` through the reconciler: one model-free `repo-facts` Task (`budget: {usd: 0,
calls: 0}`) over a files-only Workspace, resumed, started through the router, its `facts.json` and
`summary.json` delivered to the host, then `ousast plane status ax-e2e-smoke` prints the attribution
table. The script calls the repository's `.venv/bin/ousast`, so `uv sync` first.
4. **Keys and the store.** Put `DEEPSEEK_API_KEY` (chat) and `OPENROUTER_API_KEY` (embeddings) in
`.env` or export them; a Task's Model names the variable (`secretKey.key`), and the key travels
only in that Task's start request. Set `OUSAST_MEMORY=s3://<bucket>` with `S3_ENDPOINT`,
`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY` (optional `S3_REGION`, `S3_BUCKET`) for the S3 store;
the bucket must be set up once by an admin as [RustFS setup](rustfs.md) describes, and the store
verifies it at every start.
5. **Run a real Run**, as in [Examples](examples.md#7-running-the-agentic-plane): `ousast plane run
plane/runs/validation-46.yaml`, then `status` and `remember`.
6. **Tear down** with `ops/ax/down.sh`, which deletes the cluster and its registry.
**Footprint** (measured 2026-09-29, idle, two workers; [ax on this host](ops/ax/README.md#measured-footprint-2026-09-29-idle-two-workers)):
| Item | Value |
| --- | --- |
| kind node container memory | 1.7 GiB (27% of the 7.7 GiB host) |
| registry container memory | 34 MiB |
| node volume (images, containerd) | 4.9 GB on disk |
| worker pool | 2 gVisor workers, 1 CPU / 1.5 GiB limit each |
Disk is the binding constraint: the Substrate install and the `ko` builds need several GB of Go
caches (`go clean -cache -modcache` afterwards), and every Task is its own actor template with a
golden actor (about 24 MB each under `/var/lib/ate/actors` on the node). The failures the host
produced, and what each one taught, are listed in
[ax on this host](ops/ax/README.md#what-this-host-taught-each-one-cost-a-failed-live-run).
## B. A separate Kubernetes cluster (planned)
The target: a cluster that runs Agent Substrate with its egress gateway and the ax control plane,
pulls the runner image from a registry of yours, receives task artifacts without a developer
laptop in the path, and keeps its memory in your S3 bucket. The provider key already travels only
in the start request through `atenet-router`, which works the same through a port-forward to any
cluster. Everything else below is either a step you take or a code change that is not made yet.
### B.1 Cluster with Agent Substrate, its egress gateway and ax
- Install Agent Substrate on the cluster following its own instructions. `ops/ax/up.sh` uses
Substrate's kind helpers (`hack/create-kind-cluster.sh`, `hack/install-ate-kind.sh`), which do
not apply to another cluster.
- Apply the egress gateway. On this host it is the agentgateway variant
(`manifests/ate-install/agentgateway-egress` in the Substrate checkout, applied with
`kubectl kustomize --load-restrictor=LoadRestrictionsNone`), which needs no Rust build; the
Envoy variant does. Without the gateway an actor has no network at all, and the per-task
EgressPolicies the reconciler writes (`src/openultrasast/plane/egress.py`) work unchanged
against the Substrate-installed gateway: deny by default, hostnames only, plain HTTP to the
receiver, TLS passthrough to the Workspaces' Git hosts and the Model's declared hosts.
- Deploy ax (`make deploy AX_IMAGE_REPO=<your registry>` in the ax checkout) **after** B.2.
- Apply a WorkerPool (B.6). Substrate installs none by itself ("no free workers").
- Substrate rejects tags: every Task's `image` must be the `<registry>/ousast-runner@sha256:...`
reference. Write it into a file (on this host, `~/.cache/ousast/ax-src/runner-image`) and pass
`--runner-image FILE` to `ousast plane workspaces` and `ousast plane harvest`, which re-pin the
Tasks they generate. The committed templates under `plane/tasks/` and the generated
`plane/tasks/validation-46.yaml` carry `localhost:5001/ousast-runner@sha256:...` and need the same
re-pin (regenerate, or replace the reference) before they run elsewhere.
- Workers must be able to pull from the registry (credentials, if any, are the cluster's concern;
ax's default runner image on `gcr.io` needs credentials and is not used here).
- **Not yet configurable:** `ousast plane doctor` checks the registry at `localhost:5001` by name
(`src/openultrasast/plane/doctor.py:45`), so its fourth check fails on another cluster even when
the image is in place. `doctor` is informational, `plane run` does not depend on it.
### B.4 One configurable kube context
The reconciler, the egress client and the router port-forward all use the context
`kind-$KIND_CLUSTER_NAME` (`kind-ousast` by default). **Not yet configurable**: the prefix `kind-`
is hard-coded in `src/openultrasast/plane/doctor.py:39`, `src/openultrasast/plane/egress.py:115`
and `:148`, and `src/openultrasast/plane/router.py:145`; `ops/ax/up.sh:24` builds the same name.
The planned change is one variable (for example `OUSAST_KUBE_CONTEXT`) read in those three
modules. Until then the only way to drive another cluster from the unchanged code is to give its
kubeconfig context a name of that form (`kubectl config rename-context <ctx> kind-<name>` and
`KIND_CLUSTER_NAME=<name>`), which is a workaround, not a supported configuration. The egress
client also needs `kubectl-ate` (or the executable `OUSAST_KUBECTL_ATE` names) able to use that
context.
### B.5 The receiver: in-cluster instead of on the host
Today the receiver is a thread inside the reconciler process (`egress.py`, `Receiver`), and the
reconciler learns of a task's completion by watching that object's `delivered` set in memory
(`reconciler.py`). Actors reach it through the Service `ousast-receiver.ax-system` whose
EndpointSlice points at the host. Three paths, in order of effort:
1. **Interim, works with the unchanged code:** keep the host receiver and render
`ops/ax/receiver-service.yaml.tmpl` with an endpoint address the egress gateway pod can reach
(`KIND_GATEWAY` is just an IPv4 address in the template, `OUSAST_ARTIFACT_PORT` the port). The
reconciler's host must be reachable from the cluster (a VPN or a routed address), and the
gateway dials the address the actor connected to, so the Service's ClusterIP must still map to it.
2. **Planned: the receiver as an in-cluster Deployment** behind the same Service name, with the
reconciler reading deliveries and serving inputs from it instead of from its own thread. This
needs code: the receiver and its `delivered`/`inputs` state are in-process today, and the
runner's `GET /inputs/<producer>/<artifact>` is served by that same process.
3. **Follow-on: presigned-URL delivery to the S3 store.** The runner would `PUT` its output tar to a
presigned URL on the memory store's bucket and fetch inputs the same way, and the reconciler
would read from the bucket. Nothing of this exists; the EgressPolicy would then have to allow
the store's hostname for the task.
### B.6 Worker pool sizing
`ops/ax/workerpool.yaml.tmpl` declares two warm gVisor workers of 1 CPU / 1.5 GiB (requests 250m /
1.5 GiB) for the 7 GB host, selected onto nodes by `ate.dev/substrate-version`. An actor occupies a
whole worker, so the pool size is the number of tasks that can run at once; set `--workers` on
`ousast plane run` to match. Size the workers above the largest Task's limits (`verify`: requests
250m / 384Mi, limits 1 CPU / 1 GiB; `roles` and the others are in `plane/tasks/`), and keep the
golden-actor storage on the node in mind (B.2).
### B.7 The S3 memory store reachable from where the reconciler runs
The `s3://` store already works against any reachable S3-compatible server with versioning,
lifecycle rules, object tags and S3 Select (RustFS is the tested one; the bucket setup and the
agent policy are on [RustFS setup](rustfs.md)). Only the reconciler reads and writes it, so today
it must be reachable from the operator's host; if the reconciler moves into the cluster, from its
pod. No Task talks to the store directly; the day one does (B.5, path 3), that Task's EgressPolicy
must allow the store's hostname (the policies allow hostnames only, never addresses), the way a
Model declares its hosts today through `openultrasast.io/egress-hosts`.
### B.8 Secrets in Kubernetes Secrets, injected into the reconciler's environment
The reconciler reads the variable a Model's `secretKey.key` names (`DEEPSEEK_API_KEY`,
`OPENROUTER_API_KEY`) and the store's `S3_ENDPOINT`, `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`
(optional `AWS_SESSION_TOKEN`, `S3_REGION`, `S3_BUCKET`) from its own environment or `.env`. When
the reconciler runs in the cluster, keep them in Kubernetes Secrets and inject them into **the
reconciler's** pod environment (`envFrom` with `secretRef`, or `valueFrom.secretKeyRef` per
variable). Never put a value into a manifest: the Model manifests name a variable, the rendered
Task carries no key, and the key reaches an actor only in the start request, where the runner keeps
it in memory and redacts it from echoed stderr. The `secretKey.name` values in `plane/models/`
(`deepseek`, `openrouter`) are the names such Secrets would carry. Running the reconciler
in-cluster is itself planned: today it is a host process, and its state directory
(`OUSAST_RESULTS`) would need a persistent volume.
### What is implemented and what is planned
| Item | Status |
| --- | --- |
| ax as the only executor; `plane run|status|doctor|remember|memory-normalise|workspaces|harvest|alerts-engine` | implemented, run on this host |
| Per-task EgressPolicy, credentials only in the start request, per-task budgets and attribution | implemented |
| S3 memory store against any reachable S3-compatible server, verified at startup | implemented (RustFS tested) |
| Local bring-up, doctor, smoke Run (`ops/ax/`) | implemented |
| Re-pinning generated Tasks to another registry (`--runner-image`) | implemented; the committed templates still name `localhost:5001` |
| Deployment to a cluster other than this host's kind cluster | **not done** |
| One configurable kube context | **planned**; `kind-` hard-coded in `doctor.py`, `egress.py`, `router.py` |
| `doctor` registry check against a configurable registry | **planned**; `localhost:5001` hard-coded in `doctor.py:45` |
| Receiver as an in-cluster Deployment | **planned** (code change) |
| Presigned-URL delivery to the S3 store | **follow-on**, not started |
| Reconciler running in-cluster with Secrets injected into its environment | **planned** |
| `AX_SNAPSHOTS_BUCKET` on your own bucket, worker pool sized to the cluster | your deployment's setting; documented, nothing to change in this repository |
`loop` and `roles` are modules in that image, not images of their own. So the production answer to
"how many containers" is: one image, one actor per Task, and **an actor occupies a whole worker**
(its limits are the ActorTemplate's, the worker holds one actor at a time). Concurrency is
therefore the number of workers in the `WorkerPool`, nothing else: `ops/ax/workerpool.yaml.tmpl`
declares `replicas: 2` of 1 CPU / 1.5 GiB, so at most two Tasks run at once on this host, and
`ousast plane run --workers` must not exceed the pool. Substrate ships an autoscaled pool
(`substrate/demos/autoscaled-workerpool/README.md`: an HPA on the external metric
`ate_workerpool_workers{state=at_capacity}` through prometheus-adapter, writing
`WorkerPool.spec.replicas`; its README says the demo is kind-only today) and request parking
(`substrate/demos/parking/`: the router holds a resume until a worker frees up). Neither is
applied by `ops/ax/up.sh`; using them in production is **planned**.
### The three components that are bound to the host today
| Component | Today | Production replacement |
| --- | --- | --- |
| Reconciler (`ousast plane run`, `src/openultrasast/plane/reconciler.py`) | a process on the operator's host; calls `ax` and `kubectl`, holds the Run's state under `OUSAST_RESULTS` | **planned**: an in-cluster Deployment (long-lived, Runs submitted to it) or a Job per Run, with Secrets injected into its environment (B.8) and a persistent volume for its state; the `kind-` context prefix must become configurable first (B.4) |
| Artifact receiver (`plane/egress.py`, the `Receiver` thread inside the reconciler) | reached through the Service `ousast-receiver.ax-system` whose EndpointSlice points at the kind gateway address on the host (`ops/ax/receiver-service.yaml.tmpl`) | **planned**: the receiver as an in-cluster Deployment behind the same Service name, or presigned-URL uploads straight to the S3 store (B.5, paths 2 and 3) |
| Joern engine (`plane/engine_alerts.py`, the host's `openultrasast:dev` container, run with `--memory 3g`) | `ousast plane alerts-engine` runs it on the host, one container at a time, and marks the Run's `alerts` tasks done | **planned**: a second, larger `WorkerPool` (the engine does not fit a 1.5 GiB worker) with an engine image and an `alerts-engine` Task, or a Kubernetes Job the reconciler waits on |
The S3 memory store (RustFS tested) is already external; only the reconciler talks to it (B.7),
so it moves with the reconciler.
### Scaling the pre-push hook in production
**Today** `ousast pre-push` is a local, deterministic check: it materialises base and head,
discovers the changed regions, runs the evidence ranker and arbiter on head and compares with base,
all within `--deadline` (30 s by default) and in `--mode advisory` unless blocking is opted into
([Pre-push: the delta check](scanning.md#pre-push-the-delta-check-experimental),
`src/openultrasast/push/`, [Engine and pre-push](ops/README.md#experimental-pre-push-integration)).
**The plane is not in that path**: no hook submits a Run, no model is called without an explicit
`--model-config`, and nothing leaves the developer's machine.
**The production shape** (planned, none of it built) splits the work by latency:
1. **Blocking, inside the hook's deadline**: what runs today, the quick rules and the delta
engine on the changed regions. It stays local and deterministic, so the push is never held for
a model or a cluster.
2. **Asynchronous, on the plane**: the hook or the CI job submits a *delta Run* whose candidates
are the functions the push changed, to the in-cluster reconciler; the Run is the per-case chain
of [The plane on ax](plane.md#per-case) (`facts`, `verify` a and b, `agree`, `verify` c on the
disputed only, `final`), and its verdict comes back as a commit status check or a review
comment once the Tasks have delivered. The worker pool is sized to the push rate or autoscaled
on `at_capacity` workers.
**Cost per push, estimated from measured rates.** Two measured per-candidate rates exist for one
model verdict: `$0.003215` (`spend.cost_per_candidate_evaluate_usd` in
`benchmarks/measurements/2026-10-01-decision-engine-injection-slice/record.json`) and `$0.0021`
(exp-002 arm A, `overall.usd_per_candidate.A` in
`benchmarks/measurements/2026-10-02-exp-002/record.json`). A push that changes five functions needs
two verify passes per candidate: 5 x 2 x $0.0021 = $0.021, or 5 x 2 x $0.003215 = $0.032 at the
higher rate, plus a third pass on the disputed candidates only. That is where "about two cents per
push" comes from; it is arithmetic over the decision engine's measured rates, not a measurement of
a push Run, and `ousast plane status` would print the real figure per Task.
**What is not built** (each is a named gap, not a configuration):
- The delta-Run command. `ousast plane scan <repo> --base <commit> --head <commit>` **does not
exist**; `ousast plane` has `run`, `status`, `doctor`, `remember`, `memory-normalise`,
`workspaces`, `harvest` and `alerts-engine` (`src/openultrasast/cli.py`).
- A candidates task for an arbitrary repository. `repo-facts` takes its candidates from a
population's validation set; a step that derives them from a diff is not written.
- Workspace generation from a URL and a commit outside a population. `plane/generate.py` is
population-driven (`read_cases` reads a validation set and a population TOML), so a Run for a
repository that is not in a population cannot be generated today.
- The in-cluster reconciler, the in-cluster receiver and the engine's worker or Job, as in the
table above.
- The check or comment that carries the asynchronous verdict back to the push.
### Sizing
The worker is the unit. Every Task's `limits` fit the 1 CPU / 1.5 GiB worker of
`ops/ax/workerpool.yaml.tmpl`; the requests are what the Task declares, the worker is what it
| `plane/models/*.yaml` | yes | nothing: provider, prices, `secretKey` variable names and `openultrasast.io/egress-hosts` are cluster-independent |
| `plane/tasks/*.yaml` (templates) | no | only the `image` reference: `<your registry>/ousast-runner@sha256:<digest>` (B.3); resources stay unless the pool is sized differently |
| `plane/tasks/validation-46.yaml`, `plane/runs/*.yaml` | regenerate | generated by `ousast plane workspaces --validation-set ... --runner-image FILE`; the Run spec itself (steps, inputs, outputs, budgets) is cluster-independent |
| `plane/workspaces/*.yaml` | yes | nothing: Git sources at pinned commits; their hosts enter each task's EgressPolicy automatically; inline `files` stay under the ~20 KB limit the actor template tolerates |
| `plane/Dockerfile.runner` | yes | nothing; build from the repository root and push to your registry |
| `ops/ax/receiver-service.yaml.tmpl` | no | the endpoint address (B.5, path 1), or replaced by an in-cluster receiver (path 2) |
| `ops/ax/workerpool.yaml.tmpl` | no | replicas and limits (B.6) |
| `ops/ax/smoke-task.yaml.tmpl`, `smoke-run.yaml.tmpl` | yes | rendered with `RUNNER_IMAGE` from your pin file |
| `ops/ax/up.sh`, `down.sh` | no | kind-specific; they do not apply to another cluster |
The Run and Task contract itself (`plane/runner.py` as PID 1 of the runner image, `AX_TASK_YAML`
and `AX_WORKSPACES_YAML`, `/healthz` and `/readyz`, the start request, the tar delivery as
completion) does not depend on where the cluster is: [The plane on ax](plane.md).