The readiness advisor failed capable local models for adapter and probe
defects rather than model incapability (#1624 Ollama, #1614 llama.cpp):
- Send num_ctx sized to the haystack fixtures (clamped to the model's
trained window) so Ollama no longer truncates ~25KB prompts at its
4096-token server default; the trained-window guard alone passed while
the runtime request was being truncated.
- Forward an explicitly pinned temperature 0 instead of dropping it to
Ollama's 0.8 default against a nonce-exact validator (ChatRequest gains
TemperatureSet; Ollama options temperature is now a pointer).
- Raise the probe generation cap from 256 to 2048 tokens so qwen3-style
<think> reasoning cannot exhaust the budget before the tool call, and
surface the provider done_reason when validation fails.
- Synthesise tool-call IDs in the OpenAI-compatible adapter (streaming
finalizer and buffered path) when the server omits them, as llama.cpp
commonly does, mirroring the Ollama adapter instead of failing tool
protocol 0/3 on transport shape.
- Probe with the Patrol loop's 60s stream stall allowance instead of the
12s chat default (chat.PatrolProviderStreamIdleTimeout is now exported).
- Stop discarding probe and validator errors: log them, carry them in a
new PatrolModelReadinessResult.Details field surfaced through the API
snapshot and Settings UI, and keep a transport-level probe failure's
specific diagnosis instead of overwriting it with the generic
capability wording.
Builds on 4a2335ce7, which already reclassifies protocol failure as
"provider connected; Patrol capability not verified".
Fixes#1624Fixes#1614
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Manifest-backed MCP tools, prompts, and resources with surface affordance contracts; agent capability manifest and governance projection; API contract tests and capability route projection; operations-loop and intelligence-funnel telemetry; release-control subsystem documentation, registry, and tooling; licensing and configuration.
- Major updates to README.md and docs/README.md for Pulse v5
- Added technical deep-dives for Pulse Pro (docs/PULSE_PRO.md) and AI Patrol (docs/AI.md)
- Updated Prometheus metrics documentation and Helm schema for metrics separation
- Refreshed security, installation, and deployment documentation for unified agent models
- Cleaned up legacy summary files
The storage deduplication logic only checked cluster config's Shared
flag, but this required the cluster config API call to succeed. When
the per-node storage API already returns shared=1 (as the user
verified), we should use that directly.
Now we check three sources for shared storage detection:
1. Per-node API shared flag (storage.Shared)
2. Cluster config shared flag (if available)
3. Storage type heuristics (NFS, RBD, PBS, etc.)
Related to #1049
Add contextual help icons throughout the UI to improve feature
discoverability. Users can click (?) icons to see explanations
with examples for settings they might not understand.
- HelpIcon component with click-to-open popover
- Centralized help content registry in /content/help/
- FeatureTip component for dismissible contextual tips
- Help added to: alert delay, AI endpoints, update channel
- Add comprehensive explanation of what data Patrol receives
- Document the enriched context (trends, baselines, predictions)
- Explain operational memory (notes, dismissed alerts, incidents)
- Clarify why Patrol catches issues that static alerts miss
- Mark Patrol as Pro feature with link to pulserelay.pro
- Add validateAIFindings() that cross-checks AI findings against actual metrics
- Filter out low-confidence findings (CPU <50%, memory <60%, disk <70%)
- Always allow critical findings, backup issues, and reliability findings through
- Update AI system prompt with stricter thresholds and explicit noise examples
- Add 'before creating a finding' checklist for AI (the 3am test)
- Update AI.md docs with clear value proposition and expectations
- Add comprehensive tests for the validation layer
This ensures paying users get immediate value without noise.
Adds IncludeAllDeployments option to show all deployments, not just
problem ones (where replicas don't match desired). This provides parity
with the existing --kube-include-all-pods flag.
- Add IncludeAllDeployments to kubernetesagent.Config
- Add --kube-include-all-deployments flag and PULSE_KUBE_INCLUDE_ALL_DEPLOYMENTS env var
- Update collectDeployments to respect the new flag
- Add test for IncludeAllDeployments functionality
- Update UNIFIED_AGENT.md documentation
Addresses feedback from PR #855
courtmanr@gmail.com