13 KiB
Cluster Config
Status: Stage 4A graph-create apply preview.
Cluster config is the future control-plane configuration surface for a whole
OmniGraph deployment. In this stage, OmniGraph can validate a local
cluster.yaml folder, produce a deterministic read-only plan, inspect the
local JSON state ledger, explicitly refresh/import graph observations into
that ledger, manually remove a held local state lock by exact lock id, and
apply the executable subset of the plan — stored-query and policy-bundle
catalog writes, and graph creation: a declared graph that does not exist
yet is initialized by apply itself at the derived root. It does not change
existing schemas (deferred to a later stage), move existing graph manifests,
start servers, or serve anything it applies: the server still boots from
omnigraph.yaml.
Commands
omnigraph cluster validate --config ./company-brain
omnigraph cluster plan --config ./company-brain --json
omnigraph cluster apply --config ./company-brain --json
omnigraph cluster status --config ./company-brain --json
omnigraph cluster refresh --config ./company-brain --json
omnigraph cluster import --config ./company-brain --json
omnigraph cluster force-unlock <LOCK_ID> --config ./company-brain --json
--config points at a directory, not a file. The directory must contain
cluster.yaml. When omitted, it defaults to the current directory.
Relationship to omnigraph.yaml
cluster.yaml does not replace omnigraph.yaml, and the two never describe
the same fact. omnigraph.yaml remains how the CLI and server are configured
today (graph targets, server bind, CLI defaults, credential env references) and
is its long-term home for per-operator settings. cluster.yaml is the shared
desired state of a whole deployment, read only by the cluster commands via
--config. In the current stage, nothing recorded in the cluster state ledger
affects what a server serves or what other CLI commands target — the cluster
catalog is inspectable, not live. When server boot from cluster state ships in
a later stage, it will be an explicit per-deployment mode switch, not a merge
of the two files.
Supported cluster.yaml
Stage 3A accepts only this resource subset:
version: 1
metadata:
name: company-brain
state:
backend: cluster
lock: true
graphs:
knowledge:
schema: ./knowledge.pg
queries:
find_experts:
file: ./knowledge.gq
policies:
base:
file: ./base.policy.yaml
applies_to: [knowledge]
metadata.name is a display label. state.backend may be omitted or set to
cluster; external state backends are reserved for a later stage. state.lock
defaults to true. When enabled, cluster plan, cluster apply,
cluster refresh, and cluster import briefly acquire
<config-dir>/__cluster/lock.json, then remove it before returning. cluster status never acquires the lock; it only reports
whether one is present. cluster force-unlock is the only lock-removal command;
it requires the exact lock id and should be run only after confirming no cluster
operation is active.
Validation
cluster validate checks:
cluster.yamlsyntax and supported fields- duplicate YAML keys
- schema, query, and policy file existence
- schema parsing and catalog construction
- stored-query parsing and query-name matching
- stored-query type-checking against the desired schema
- policy
applies_tograph references
Fields reserved for later phases, such as pipelines, embeddings, ui,
aliases, and bindings, fail with a typed diagnostic instead of being
silently ignored.
Planning
cluster plan first performs validation, then reads local JSON state from:
<config-dir>/__cluster/state.json
If the file is missing, the state is treated as empty and every desired resource is planned as a create. If present, the file must use this shape:
{
"version": 1,
"state_revision": 0,
"applied_revision": {
"config_digest": "...",
"resources": {
"graph.knowledge": { "digest": "..." },
"schema.knowledge": { "digest": "..." },
"query.knowledge.find_experts": { "digest": "..." },
"policy.base": { "digest": "..." }
}
},
"resource_statuses": {
"graph.knowledge": {
"status": "applied",
"conditions": [],
"message": "optional status detail"
}
},
"approval_records": {},
"recovery_records": {},
"observations": {}
}
state_revision, resource_statuses, approval_records, recovery_records,
and observations are optional so older Stage 1 state fixtures keep working.
Missing state_revision is treated as 0. Resource status values are
pending, planned, applying, applied, drifted, blocked, or error.
Plan output compares desired resource digests against state resource digests
and reports create, update, and delete changes. It also reports the state
CAS (sha256:<digest>) and state revision. state_observations.locked means an
existing lock file was observed, along with its metadata (lock_id,
lock_operation, lock_created_at, lock_pid, lock_age_seconds); a
successful plan instead reports lock_acquired: true and an
acquired_lock_id, then releases the lock before returning. The command never
writes state.json and does not scan live graphs. Use explicit
cluster refresh / cluster import when the state ledger should be updated
from live observations. Live drift scans during plan are later-stage work.
Each plan change carries a disposition field — an honest preview of what
cluster apply will do with it in this stage: applied (executes), derived
(a graph.<id> composite-digest update that converges automatically once its
query digests land), deferred (graph/schema change, later phase), or
blocked (query/policy gated by an unapplied or missing dependency, with the
condition in reason).
Apply
cluster apply executes the executable subset of the plan — stored-query and
policy-bundle changes, and graph creates. There is no confirm flag: cluster plan is the preview,
and apply recomputes the same diff under the state lock before executing, so a
stale preview can never be applied. Apply requires an existing state.json
(state_missing directs you to cluster import first).
For each applied create/update, the resource payload is written content-addressed into the local catalog:
<config-dir>/__cluster/resources/query/<graph>/<name>/<digest>.gq
<config-dir>/__cluster/resources/policy/<name>/<digest>.yaml
Extensions are fixed per kind regardless of the source file's name. Payloads
are written before the state update because state.json is the publish point:
if the final CAS-checked state write fails, no success is reported and the
digest-named blobs already written are inert — re-running apply is the repair.
Deletes remove the resource from state; their old payload blobs stay on disk
(garbage collection is a later stage). Re-running a converged apply is a no-op:
no state write, no revision change (state_written: false).
Applied means recorded in the cluster catalog — nothing more. The server
still boots from omnigraph.yaml; no query or policy applied here serves
traffic until the server-boot stage ships, as an explicit per-deployment mode
switch.
Graph creation
A graph.<id> create (the graph is declared but no root exists) is executed
by apply: the graph is initialized at the derived root
<config-dir>/graphs/<graph-id>.omni
with the declared schema, before any catalog writes, so queries and policies
that depend on the new graph apply in the same run. Each create is fenced
by a recovery sidecar under __cluster/recoveries/{ulid}.json, written before
the init and removed only after the state update lands. If apply crashes in
between, the next state-mutating command (apply, refresh, import) runs a
recovery sweep that classifies the survivor by observation: an absent root
removes the stale intent; a completed create rolls the cluster state forward
(recorded in the state's recovery_records); a partial root reports
graph_create_incomplete (status error — remove the root and re-run apply;
nothing is auto-deleted); unexpected graph content reports
actual_applied_state_pending (status drifted — run cluster refresh and
re-plan). While a kept sidecar is pending, that graph's create and its
dependents are blocked with cluster_recovery_pending. Read-only commands
(status, plan) warn about pending sidecars without acting on them.
Re-creation is convergence. If a graph root disappears out-of-band,
refresh records the drift and the next plan proposes a create — and apply
will execute it, producing an empty graph at the root. The data was
already lost when the root vanished; the create is visible in the plan
(disposition applied) before anything runs.
Schema changes to existing graphs are never executed by this stage. They are
reported as deferred (warning apply_unsupported_change), and query/policy
changes that depend on them are blocked (warning apply_dependency_blocked, status
blocked in state). A partially-applicable plan still exits 0 with warnings;
the JSON converged field is the automation signal for "state now matches the
desired revision". The applied config_digest is only recorded when apply
fully converges. The graph.<id> composite digest is recomputed from state's
own schema/query digests after each apply, so applied query changes converge
without graph movement.
Status
cluster status reads the same local JSON state ledger and prints what the
ledger says is deployed. It does not validate referenced schema/query/policy
files and does not inspect live graphs. Missing state.json succeeds with a
warning; invalid state JSON or an unsupported state version fails. If a lock is
present, status reports its id, operation, creation time, pid, and age.
Status also verifies the catalog payloads read-only: every query/policy digest
recorded in state is checked against its content-addressed blob under
__cluster/resources/ (existence and full digest re-hash). A missing or
mismatched blob is reported as a warning (catalog_payload_missing /
catalog_payload_mismatch); an unreadable blob is an error
(catalog_payload_read_error) because an unverifiable catalog must not report
healthy. Status never writes state — persisting the drifted condition is
refresh's job. The check runs without the state lock, so it is a point-in-time
report.
Refresh And Import
cluster refresh updates an existing state.json from actual observations.
cluster import creates the first state.json when the ledger is missing.
Both commands open declared graphs read-only at:
<config-dir>/graphs/<graph-id>.omni
They observe only branch main, recording graph existence, manifest version,
live schema digest, desired schema digest, and schema-match status under
observations["graph.<id>"]. Missing graph roots are recorded as drift and
remove the graph/schema digests from state so a later plan proposes creates.
Invalid graph roots are recorded as errors; refresh persists the error
observation and exits non-zero, while import exits non-zero without creating
initial state.
Refresh also verifies the catalog payloads of every query/policy digest
recorded in state (the same check cluster status reports read-only), and
closes the loop:
- a missing or digest-mismatched blob marks the resource
drifted(conditionpayload_missing/payload_mismatch) and removes its digest from state — so the nextcluster planproposes a create and the nextcluster applyrepublishes the blob (the self-heal loop, mirroring how a missing graph root is handled); - an unreadable blob (IO error other than not-found) keeps the digest,
marks the resource
error(conditionpayload_read_error), and exits non-zero — transient IO must not trigger a spurious republish.
Upgrade note: a state ledger written before catalog publish existed records
query/policy digests with no blobs on disk; the first refresh after upgrading
flags them all payload_missing, and a single cluster apply republishes
everything and converges.
Refresh/import do not observe query or policy resources beyond their catalog payloads yet. Existing query and policy state digests are preserved on refresh (unless their payload drifted, above) and are not invented on import.
Force Unlock
cluster force-unlock <LOCK_ID> removes <config-dir>/__cluster/lock.json only
when the file exists, is valid version-1 lock JSON, and its lock_id exactly
matches the argument. A wrong id, missing lock, invalid lock JSON, or unsupported
lock version exits non-zero and leaves the file untouched.
This is manual recovery for abandoned local locks. OmniGraph does not perform PID-liveness checks, TTL expiry, stale-lock breaking, or automatic unlock in Stage 2C.