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https://github.com/okieselbach/AutopilotMonitor.git
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Oliver Kieselbach
3c1229a301
* feat(backend): dry-run endpoint for draft analyze rules (rule authoring)
POST /api/rules/analyze/dryrun evaluates a DRAFT analyze rule against one
session's events and returns a full diagnostic trace: per-condition
matched/evidence (incl. per-eventType occurrence counts), per-factor
confidence breakdown, verdict, and the would-be MatchedConditions map for
{{token}} interpolation preview. Persists nothing: no RuleResult row, no
session-status change, no notifications.
- RuleEngine.DryRun.cs: DryRunRuleAsync / DryRunEvaluate share the exact
evaluators (EvaluatePrecondition/EvaluateCondition/EvaluateConfidenceFactor)
with the production path but evaluate ALL conditions instead of breaking on
the first failed required one; parity with EvaluateRule is pinned by tests.
- DryRunAnalyzeRuleFunction: TenantAdminOrGlobalReader (read-in-effect POST),
GA/GlobalReader cross-tenant via session tenant resolution, 1 MB body cap,
structural draft validation (unknown source/operator, correlation without
joinField, invalid regex, non-evaluable confidenceFactor DSL) with
actionable error messages.
- EndpointAccessPolicyCatalog: register the new route.
- RuleEngineDryRunTests: trace semantics, production parity matrix,
side-effect freedom (VerifyNoOtherCalls), draft validation matrix.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* feat(mcp): rule-authoring resources — guide, schemas, guardrails
Deterministic authoring context for customer AIs, replacing chunked
search_docs retrieval for rule creation: get_resource (and the MCP-protocol
resources) now serve
- rule_authoring_guide: hand-written, complete authoring knowledge (collector
types, triggers, condition sources, operators, confidence model incl. the
exact factor-condition DSL shapes, {{token}} interpolation order, guardrail
matching semantics, pitfalls, validate->dry-run workflow)
- rule_schemas: the JSON Schemas (2020-12) for gather + analyze rules
- rule_guardrails: the on-device collection allowlists
Schemas + guardrails are generated into rule-authoring.generated.ts by a new
combine.js emitter (same pattern as the web guardrails mirror; rules/ stays
the single source of truth and CI guardrails-in-sync guards the file).
rule-authoring-drift.test.ts additionally pins generated == repo source,
guide enums == schema enums, and the get_resource size cap.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* feat(mcp): validate_rule + test_analyze_rule tools and author-rule prompt
Closes the authoring loop for customer AIs: draft -> validate -> dry-run
against a real session -> iterate -> create in the portal.
- validate_rule (MCP-local, no backend call): ajv 2020-12 validation against
the baked schemas, guardrail pre-flight mirroring the agent matching
semantics (hive-stripped segment-bounded registry/file prefixes,
whitespace-bounded WMI, exact commands, /-bounded event log channels, hard
blocks), and semantic lint for schema-valid-but-dead rules (unreachable
threshold, non-evaluable factor DSL, unknown eventTypes, unanchored
not_regex allowlists, unresolvable {{tokens}}, trigger cross-fields,
outputEventType conventions/collisions).
- test_analyze_rule: calls the new POST /api/rules/analyze/dryrun and adds
the {{token}}-interpolated explanation/remediation preview via the
existing interpolate-rule-template.
- author-rule MCP prompt guiding scenario -> resources -> draft -> validate
-> dry-run.
- Both tools are visible to every role (backend enforces
TenantAdminOrGlobalReader on the dryrun route); catalog snapshot updated.
- deps: ajv + ajv-formats promoted to direct dependencies.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* docs(okf): rule authoring surface concept doc
docs/rules/rule-authoring-surface.md: the AI-assisted authoring stack
(deterministic MCP resources via combine.js baking, MCP-local validate_rule
layers, the dry-run trace twin with its parity + side-effect invariants, and
what is deliberately absent); registered in index.md, logged 2026-08-05.
Customer docs (rules/ai-assisted-rule-authoring.md + SUMMARY + FAQ entry) are
committed in the autopilotmonitor-docs repository separately.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Co-authored-by: Claude Fable 5 <noreply@anthropic.com>