Creates Redux action creator with analytics source metadata, flattening nested inputs for analytics tracking.

Mnemon -- execution caching and system learning for AI agents. Zero code changes. One import line. Gets smarter with every run. Saves tokens on every cache hit. Usage: import mnemo

Anonymous opt-out telemetry — PostHog. Disable by setting MNEMON_NO_TELEMETRY=1 in the environment. What is sent: framework, cache_level, tokens_saved, latency_ms, mnemon_version,

Audit log — tracks every outbound request made during autopilot sessions. Append-only JSONL file at hunt-memory/audit.jsonl. Used for post-session review and scope compliance verif

Canonical NATS subject and stream name helpers. ! ! The cloud enrollment response provides a tenant-scoped `subject_prefix`. ! All adaptive-SDR NATS channels must derive from that

Core PHP ratings engine handling vote processing, calculation, caching, and rating logic.

Builds causal impact data for changed policy events by extracting their causal context from a causal graph, identifying breakage drivers through root node analysis.

Adaptive compression sizing via information saturation detection. ! ! Direct port of `headroom/transforms/adaptive_sizer.py`. Used by ! `smart_crusher`'s array crushers to decide *

Model cost accounting and per-agent budgets (Milestone C). Every model call records its token usage and dollar cost on the `model.call` audit event. This module is the math and the

ASCII sparkline rendering for visualizing data distributions.

YoureOnTime StaffTimeCardSummary Telerik report adapter. Telerik report type: "YoureOnTime.Web.TelerikReports.StaffTimeCardSummary, YoureOnTime.Reports" Sheet name: "StaffTimeCard"

SemanticDedup — near-duplicate content block elimination FusionStage. Detects and eliminates repeated content blocks within a single text using 3-word shingle fingerprinting (no ex

YoureOnTime StaffWorkSummary Telerik report adapter. Telerik report type: "YoureOnTime.Web.TelerikReports.StaffWorkSummary_2121, YoureOnTime.Reports" Supplies two columns the Staff

Deterministic scoring + tier classification. `score_call(facts)` is a pure function: same `CallFacts` → same `ScoreResult`. Score starts at 100, deductions are subtracted, floored

Dataset mapping domains owned by the same entity for cross-site tracker analysis.

Agent behavioral profiling — baseline + deviation + anomaly detection. Ported from legacy/clawkeeper-watcher/plugins/clawkeeper-watcher/src/core/agent-profiler.js. The profiler agg

Root layout sets HTML/body, Geist fonts, metadata, analytics.

Calculates directional trend from current and previous values, returning color-coded indicators, percentage changes, and JSON-serialized data for time-series visualization.

Mnemon Telemetry Structured metrics and observability. Collects what every component already produces and puts it in one place. Metrics tracked: - EME: hit rates by level, tokens s

Computes weighted rating for reputation scoring in trust aggregation.

Formats duration seconds into a human-readable h/m/s string for performance uptime display.

Compute weighted aggregation of component ratings into overall score.

Computes descriptive statistics (count, mean, etc.) for categories in financial model.

Loads built-in source definitions from bundled configuration into registry.

Reporting the call back to call-api. Delivery is **at-least-once, keyed by job_id** (BRIEF §9 phase-2 trap 4). Two properties matter and neither is negotiable: - A lost POST must n

Computes of 10-5 to,

Ranking-quality metrics: nDCG@k, MRR@k, Recall@k. Pure-Python, dependency-free. Each metric takes ``predicted`` (the ranked list of IDs returned by the system under test) and ``rel

Data model representing a health check result with status, latency, and timestamp, used to track service health over time.

Multilayer mounts nested Kubernetes volumes into container storage layers.

Paginates daily stats for leaderboards; retrieves trend entries with cursor, keyed by date.

Immutable snapshot of provider health metrics (successes, failures, latency, cooldown) with derived rates and trends for monitoring reliability.

Converts any value to a stripped string, returning a default if empty. Ensures consistent string output for reporting.

L6: Observation Compression (AGGRESSIVE) Inspired by claw-compactor's 97% compression on tool results. Tool call results (especially large ones) are summarized to key info only. Th

Extracts node IDs from causal paths to generate policy enforcement promotion suggestions based on historical causal impact analysis.

Computes a percentile from a list of floats using linear interpolation, returning 0 for empty input. Useful for summarizing benchmark result distributions.

Tracks token consumption for LLM requests, ensuring non-negative counts and consistency between prompt, completion, and total tokens.

Classifies an endpoint URL into categories like localhost, private_network, or remote based on hostname and IP patterns, used for telemetry filtering.

Root layout component that wraps the entire app with HTML structure, global styles, and providers for state, theme, tooltips, and analytics.

Retrieves a formula mode by its ID from central config. College basketball analytics constant lookup.

Read evals/snapshots/results.json (produced by llm_run.py) and report real token compression per skill against the *terse control arm* — i.e. how much the skill adds on top of a pl

Shows users how many tokens RTK has saved them over time.

Scores a normalized answer against expected and distractor values, classifying outcomes like correct, no_answer, abstained, or silent_wrong.

Splits a time span into aligned ranges by interval (hour/day/week/month/quarter/year) and clamps the final range to endTime. Useful for bucketing time-based data.

Aggregates hourly anonymized task outcomes and benchmark results into a public leaderboard with task family rankings, latency metrics, schema compliance, and anomaly alerts.

Strategy A/B Testing manager. Tracks control vs. variant strategy performance for each failure type. /

Returns an associative array of predefined date range options for reports filtering, including today, yesterday, last 7 days, this/last month, this/last year, and all time.

Handles download requests, builds zip archives, tracks metrics, and integrates GitHub handoff analytics via HTTP handler.

Generates compact audio fingerprint (hash) for content identification or similarity matching.

Wraps children with PostHog analytics provider if enabled, otherwise renders children directly. Ensures analytics are only loaded when configured.

Displays a customer support dashboard with conversation counts, ticket stats, message totals, resolution rates, and recent conversations from the database.