Keep Proxmox setup tokens node-scoped so cluster installs do not rotate one shared Pulse API token.
Suppress command-enable config for tokens that cannot register command channels and keep reusable installer tokens out of agent:exec.
Seed the hidden demo fixture entitlement during stable demo updates so release builds can enable governed mock resources after runtime configuration is restored.
Keep the deployment contract and release policy checks aligned with the release-build entitlement gate.
Refs #1515
- restore demo runtime env and verify mock fixtures even when the target version is already installed
- require recovered agent update state to include both URL and token before reporting success
Reuse shared release-line validation for Docker, floating-tag, and Helm artifact workflows so stable patch tags can publish from the previous stable tag without a fabricated same-version RC.
- bump release, Docker, and Helm metadata to 6.0.1
- add committed v6.0.1 patch release notes and changelog
- allow stable patch hotfix releases without a fabricated same-version prerelease tag
Refs #1510
Refs #1501
Refs #1507
Refs #1442
- persist scoped workloads status filters across platform navigation
- derive host memory pressure from available memory
- reapply system settings after every monitor reload path
- bound PBS backup snapshot polling workers during large backup scans
Correct the baseline (v5.1.34 -> v5.1.35) and RC range (rc.1-rc.6 ->
rc.1-rc.7 plus post-RC7 GA fixes) so the published v6.0.0 changelog
matches the final release head.
Stop framing TrueNAS and vSphere as platforms v5 operators already know:
both are new in v6. The intro now narrows the 'already know' list to
what v5 actually shipped and names the new top-level pages explicitly.
Add two major-change bullets that the narrative was missing:
- TrueNAS as a first-class platform (parallel to the existing vSphere
bullet)
- AI intelligence services at /api/ai/intelligence/*, the surface Patrol
and Assistant consume
All factual claims verified against the GA head (routes, packages, docs,
and migration behavior all present in the tree).
get_fleet_context returned the whole registry with no way to narrow it,
so a large fleet produced a payload that exceeded the agent harness's
50KB cap and forced agents to receive or page through healthy resources
that are pure noise from a triage standpoint.
Add optional additive query-param filters — hasFindings, severity,
technology, resourceType — that compose by intersection. All optional
(omitting every filter returns the full fleet, backward compatible);
unknown/unmatched values return 200 with resources: [] (a valid triage
answer, not an error). The hasFindings=true filter is the headline
triage case: show me only what needs attention.
The MCP adapter layer had no GET query-param transport — ProjectCapabilityCall
short-circuited GET after path substitution and dropped all other args.
Close that gap generically: ProjectedCall gains a Query url.Values field
populated from leftover non-path public args for GET/DELETE, and
BuildCapabilityHTTPRequest encodes it onto the request URL. Benefits any
future GET capability with filter args, not just fleet-context. The
resources/list adapter calls fleet-context with empty args and continues
to receive the unfiltered fleet.
The manifest now declares the filters via inputSchema so they are
discoverable through the capability surface the same way add_node's
params are.
- ProjectedCall.Query + GET query-param forwarding (projection.go, http.go)
- fleetContextFilter parsing/matching in HandleFleetContext
- fleetContextInputSchema + InputSchema on the capability
- Regenerated cmd/pulse-mcp/README.md via generate-pulse-intelligence-docs
- Contract updates: api-contracts, ai-runtime, agent-lifecycle, storage-recovery
- Tests: adapter query-forwarding unit tests, 7 filter handler tests
(hasFindings/severity/technology/resourceType/no-filter/unknown/compose),
contract pinning inputSchema + end-to-end query forwarding
Agents had no way to discover which governed capabilities a resource
advertises before calling plan_action. The data existed (Resource.Capabilities
with full param schemas) but was only surfaced as count-limited prose
facts inside get_resource_context, which deliberately omits parameter
schemas. This forced agents to guess capabilityName and params.
Add a dedicated structured surface: GET /api/agent/resource-capabilities/{id}
returns the canonical ResourceCapability list (name, type, approval level,
platform, full parameter schemas) for a single resource. A resource with
no advertised capabilities returns 200 with an empty array, the signal
to skip plan_action.
Internal plumbing already existed (registry.Get + Resource.Capabilities,
the same path plan_action validates against); this is the wiring work at
the canonical agent-surface layer. The tools/call dispatch is fully
generic so no mcp.go changes were needed.
Companion to get_resource_context: that tool remains the human-readable
prose summary; this is the structured schema surface for action planning.
- Manifest capability, name/path constants, output schema helper
- Handler mirroring HandleResourceContext error/scope patterns
- Route registration behind monitoring:read
- Activity telemetry mapping to resource_context class
- Regenerated cmd/pulse-mcp/README.md via generate-pulse-intelligence-docs
- Contract updates: api-contracts, ai-runtime, agent-lifecycle, storage-recovery
- Tests: manifest ownership/addressing/table-test, handler happy/empty/404/405,
contract pinning capability presence/scope/wire-shape
