docs(vision,agents): layer calibration, interface-on-demand, telemetry opt-in, whole-document guidance rules

This commit is contained in:
Ayaan Zaidi
2026-07-29 20:10:46 +09:00
parent 216f45af8e
commit 987522fdcc
2 changed files with 13 additions and 0 deletions

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@@ -132,6 +132,7 @@ Skills own workflows; root owns hard policy and routing. Product direction and m
- Prompt cache: deterministic ordering for maps/sets/registries/plugin lists/files/network results before model/tool payloads. Preserve old transcript bytes when possible.
- Model-context budget: every injected prompt/tool-schema/context item is bounded with a hard cap; no unbounded items. New model-visible text that can cross ~1K tokens is a P0 review flag needing explicit justification. Context builds incrementally; only compaction rewrites history.
- Tool/prompt descriptions never statically name tools from other toolsets/plugins; gating turns the reference into hallucination bait. Needed cross-references are injected at definition-build time from what is actually available. Descriptions state capability, not implementation; no marketing words.
- Guidance the model must apply in full (skills, playbooks, prompt instructions) is served whole: no offset/limit or windowed-read parameters on those tools. Given a window, the model treats the first window as the whole document.
- Prompt-state mutations (skills/tools/memory) default to deferred cache invalidation — effect next session; immediate invalidation is an explicit opt-in.
- Agent tool schema cleanup: remove stale args cleanly; no hidden compat for model-facing params just to avoid churn.

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@@ -58,6 +58,10 @@ Canonical security policy and reporting:
We prioritize secure defaults, but also expose clear knobs for trusted high-power workflows.
Privacy follows the same default rule.
OpenClaw sends no usage analytics, tracking identifiers, or attribution tags unless the operator turned that on themselves.
A change that needs such signals waits until an explicit user-facing opt-in exists for them.
## Plugins & Memory
OpenClaw has an extensive plugin API.
@@ -65,6 +69,14 @@ Core stays lean; optional capabilities should usually ship as plugins.
We are generally slimming down core while expanding what plugins can do.
If a useful feature cannot be built as a plugin yet, we welcome PRs and design discussions that extend the plugin API instead of adding one-off core behavior.
Two layers, two bars.
The core carries a per-call tax: each core tool, prompt line, and config key reaches every operator on every model request, so additions there face the strictest scrutiny.
Plugins, skills, channels, and apps carry no such tax, and we want that surface to keep growing.
When our contribution rules read as hostile to a feature, re-check the layer: usually they object to where it plugs in, not to the feature existing.
Recurring demand defines interfaces.
Once several independent PRs or requests wire in the same kind of capability, the right response is a contract, not a queue of merges: land the seam in core or the SDK, port the bundled implementation onto it, and let the remaining candidates ship as plugins against it.
There are two broad plugin styles:
- Code plugins run OpenClaw plugin code and are appropriate for deeper runtime extension.