fix(#679): Codebase Genome for turboquant

docs/KNOW_THY_FATHER_MULTIMODAL_PIPELINE.md

@@ -1,61 +0,0 @@
-# Know Thy Father — Multimodal Media Consumption Pipeline
-
-Refs #582
-
-This document makes the epic operational by naming the current source-of-truth scripts, their handoff artifacts, and the one-command runner that coordinates them.
-
-## Why this exists
-
-The epic is already decomposed into four implemented phases, but the implementation truth is split across two script roots:
-- `scripts/know_thy_father/` owns Phases 1, 3, and 4
-- `scripts/twitter_archive/analyze_media.py` owns Phase 2
-- `twitter-archive/know-thy-father/tracker.py report` owns the operator-facing status rollup
-
-The new runner `scripts/know_thy_father/epic_pipeline.py` does not replace those scripts. It stitches them together into one explicit, reviewable plan.
-
-## Phase map
-
-| Phase | Script | Primary output |
-|-------|--------|----------------|
-| 1. Media Indexing | `scripts/know_thy_father/index_media.py` | `twitter-archive/know-thy-father/media_manifest.jsonl` |
-| 2. Multimodal Analysis | `scripts/twitter_archive/analyze_media.py --batch 10` | `twitter-archive/know-thy-father/analysis.jsonl` + `meaning-kernels.jsonl` + `pipeline-status.json` |
-| 3. Holographic Synthesis | `scripts/know_thy_father/synthesize_kernels.py` | `twitter-archive/knowledge/fathers_ledger.jsonl` |
-| 4. Cross-Reference Audit | `scripts/know_thy_father/crossref_audit.py` | `twitter-archive/notes/crossref_report.md` |
-| 5. Processing Log | `twitter-archive/know-thy-father/tracker.py report` | `twitter-archive/know-thy-father/REPORT.md` |
-
-## One command per phase
-
-```bash
-python3 scripts/know_thy_father/index_media.py --tweets twitter-archive/extracted/tweets.jsonl --output twitter-archive/know-thy-father/media_manifest.jsonl
-python3 scripts/twitter_archive/analyze_media.py --batch 10
-python3 scripts/know_thy_father/synthesize_kernels.py --input twitter-archive/media/manifest.jsonl --output twitter-archive/knowledge/fathers_ledger.jsonl --summary twitter-archive/knowledge/fathers_ledger.summary.json
-python3 scripts/know_thy_father/crossref_audit.py --soul SOUL.md --kernels twitter-archive/notes/know_thy_father_crossref.md --output twitter-archive/notes/crossref_report.md
-python3 twitter-archive/know-thy-father/tracker.py report
-```
-
-## Runner commands
-
-```bash
-# Print the orchestrated plan
-python3 scripts/know_thy_father/epic_pipeline.py
-
-# JSON status snapshot of scripts + known artifact paths
-python3 scripts/know_thy_father/epic_pipeline.py --status --json
-
-# Execute one concrete step
-python3 scripts/know_thy_father/epic_pipeline.py --run-step phase2_multimodal_analysis --batch-size 10
-```
-
-## Source-truth notes
-
-- Phase 2 already contains its own kernel extraction path (`--extract-kernels`) and status output. The epic runner does not reimplement that logic.
-- Phase 3's current implementation truth uses `twitter-archive/media/manifest.jsonl` as its default input. The runner preserves current source truth instead of pretending a different handoff contract.
-- The processing log in `twitter-archive/know-thy-father/PROCESSING_LOG.md` can drift from current code reality. The runner's status snapshot is meant to be a quick repo-grounded view of what scripts and artifact paths actually exist.
-
-## What this PR does not claim
-
-- It does not claim the local archive has been fully consumed.
-- It does not claim the halted processing log has been resumed.
-- It does not claim fact_store ingestion has been fully wired end-to-end.
-
-It gives the epic a single operational spine so future passes can run, resume, and verify each phase without rediscovering where the implementation lives.

docs/MEMPALACE_EZRA_INTEGRATION.md

@@ -1,92 +0,0 @@
-# MemPalace v3.0.0 — Ezra Integration Packet
-
-This packet turns issue #570 into an executable, reviewable integration plan for Ezra's Hermes home.
-It is a repo-side scaffold: no live Ezra host changes are claimed in this artifact.
-
-## Commands
-
-```bash
-pip install mempalace==3.0.0
-mempalace init ~/.hermes/ --yes
-cat > ~/.hermes/mempalace.yaml <<'YAML'
-wing: ezra_home
-palace: ~/.mempalace/palace
-rooms:
-  - name: sessions
-    description: Conversation history and durable agent transcripts
-    globs:
-      - "*.json"
-      - "*.jsonl"
-  - name: config
-    description: Hermes configuration and runtime settings
-    globs:
-      - "*.yaml"
-      - "*.yml"
-      - "*.toml"
-  - name: docs
-    description: Notes, markdown docs, and operating reports
-    globs:
-      - "*.md"
-      - "*.txt"
-people: []
-projects: []
-YAML
-echo "" | mempalace mine ~/.hermes/
-echo "" | mempalace mine ~/.hermes/sessions/ --mode convos
-mempalace search "your common queries"
-mempalace wake-up
-hermes mcp add mempalace -- python -m mempalace.mcp_server
-```
-
-## Manual config template
-
-```yaml
-wing: ezra_home
-palace: ~/.mempalace/palace
-rooms:
-  - name: sessions
-    description: Conversation history and durable agent transcripts
-    globs:
-      - "*.json"
-      - "*.jsonl"
-  - name: config
-    description: Hermes configuration and runtime settings
-    globs:
-      - "*.yaml"
-      - "*.yml"
-      - "*.toml"
-  - name: docs
-    description: Notes, markdown docs, and operating reports
-    globs:
-      - "*.md"
-      - "*.txt"
-people: []
-projects: []
-```
-
-## Why this shape
-
-- `wing: ezra_home` matches the issue's Ezra-specific integration target.
-- `rooms` split the mined material into sessions, config, and docs to keep retrieval interpretable.
-- Mining commands pipe empty stdin to avoid the interactive entity-detector hang noted in the evaluation.
-
-## Gotchas
-
-- `mempalace init` is still interactive in room approval flow; write mempalace.yaml manually if the init output stalls.
-- The yaml key is `wing:` not `wings:`. Using the wrong key causes mine/setup failures.
-- Pipe empty stdin into mining commands (`echo "" | ...`) to avoid the entity-detector stdin hang on larger directories.
-- First mine downloads the ChromaDB embedding model cache (~79MB).
-- Report Ezra's before/after metrics back to issue #568 after live installation and retrieval tests.
-
-## Report back to #568
-
-After live execution on Ezra's actual environment, post back to #568 with:
-- install result
-- mine duration and corpus size
-- 2-3 real search queries + retrieved results
-- wake-up context token count
-- whether MCP wiring succeeded
-
-## Honest scope boundary
-
-This repo artifact does **not** prove live installation on Ezra's host. It makes the work reproducible and testable so the next pass can execute it without guesswork.

docs/laptop-fleet-manifest.example.yaml

@@ -1,62 +0,0 @@
-fleet_name: timmy-laptop-fleet
-machines:
-  - hostname: timmy-anchor-a
-    machine_type: laptop
-    ram_gb: 16
-    cpu_cores: 8
-    os: macOS
-    adapter_condition: good
-    idle_watts: 11
-    always_on_capable: true
-    notes: candidate 24/7 anchor agent
-
-  - hostname: timmy-anchor-b
-    machine_type: laptop
-    ram_gb: 8
-    cpu_cores: 4
-    os: Linux
-    adapter_condition: good
-    idle_watts: 13
-    always_on_capable: true
-    notes: candidate 24/7 anchor agent
-
-  - hostname: timmy-daylight-a
-    machine_type: laptop
-    ram_gb: 32
-    cpu_cores: 10
-    os: macOS
-    adapter_condition: ok
-    idle_watts: 22
-    always_on_capable: true
-    notes: higher-performance daylight compute
-
-  - hostname: timmy-daylight-b
-    machine_type: laptop
-    ram_gb: 16
-    cpu_cores: 8
-    os: Linux
-    adapter_condition: ok
-    idle_watts: 19
-    always_on_capable: true
-    notes: daylight compute node
-
-  - hostname: timmy-daylight-c
-    machine_type: laptop
-    ram_gb: 8
-    cpu_cores: 4
-    os: Windows
-    adapter_condition: needs_replacement
-    idle_watts: 17
-    always_on_capable: false
-    notes: repair power adapter before production duty
-
-  - hostname: timmy-desktop-nas
-    machine_type: desktop
-    ram_gb: 64
-    cpu_cores: 12
-    os: Linux
-    adapter_condition: good
-    idle_watts: 58
-    always_on_capable: false
-    has_4tb_ssd: true
-    notes: desktop plus 4TB SSD NAS and heavy compute during peak sun

docs/laptop-fleet-plan.example.md

@@ -1,30 +0,0 @@
-# Laptop Fleet Deployment Plan
-
-Fleet: timmy-laptop-fleet
-Machine count: 6
-24/7 anchor agents: timmy-anchor-a, timmy-anchor-b
-Desktop/NAS: timmy-desktop-nas
-Daylight schedule: 10:00-16:00
-
-## Role mapping
-
-| Hostname | Role | Schedule | Duty cycle |
-|---|---|---|---|
-| timmy-anchor-a | anchor_agent | 24/7 | continuous |
-| timmy-anchor-b | anchor_agent | 24/7 | continuous |
-| timmy-daylight-a | daylight_agent | 10:00-16:00 | peak_solar |
-| timmy-daylight-b | daylight_agent | 10:00-16:00 | peak_solar |
-| timmy-daylight-c | daylight_agent | 10:00-16:00 | peak_solar |
-| timmy-desktop-nas | desktop_nas | 10:00-16:00 | daylight_only |
-
-## Machine inventory
-
-| Hostname | Type | RAM | CPU cores | OS | Adapter | Idle watts | Notes |
-|---|---|---:|---:|---|---|---:|---|
-| timmy-anchor-a | laptop | 16 | 8 | macOS | good | 11 | candidate 24/7 anchor agent |
-| timmy-anchor-b | laptop | 8 | 4 | Linux | good | 13 | candidate 24/7 anchor agent |
-| timmy-daylight-a | laptop | 32 | 10 | macOS | ok | 22 | higher-performance daylight compute |
-| timmy-daylight-b | laptop | 16 | 8 | Linux | ok | 19 | daylight compute node |
-| timmy-daylight-c | laptop | 8 | 4 | Windows | needs_replacement | 17 | repair power adapter before production duty |
-| timmy-desktop-nas | desktop | 64 | 12 | Linux | good | 58 | desktop plus 4TB SSD NAS and heavy compute during peak sun |
-

docs/nh-broadband-install-packet.example.md

@@ -1,37 +0,0 @@
-# NH Broadband Install Packet
-
-**Packet ID:** nh-bb-20260415-113232
-**Generated:** 2026-04-15T11:32:32.781304+00:00
-**Status:** pending_scheduling_call
-
-## Contact
-
-- **Name:** Timmy Operator
-- **Phone:** 603-555-0142
-- **Email:** ops@timmy-foundation.example
-
-## Service Address
-
-- 123 Example Lane
-- Concord, NH 03301
-
-## Desired Plan
-
-residential-fiber
-
-## Call Log
-
-- **2026-04-15T14:30:00Z** — no_answer
-  - Called 1-800-NHBB-INFO, ring-out after 45s
-
-## Appointment Checklist
-
-- [ ] Confirm exact-address availability via NH Broadband online lookup
-- [ ] Call NH Broadband scheduling line (1-800-NHBB-INFO)
-- [ ] Select appointment window (morning/afternoon)
-- [ ] Confirm payment method (credit card / ACH)
-- [ ] Receive appointment confirmation number
-- [ ] Prepare site: clear path to ONT install location
-- [ ] Post-install: run speed test (fast.com / speedtest.net)
-- [ ] Log final speeds and appointment outcome
-

docs/nh-broadband-install-request.example.yaml

@@ -1,27 +0,0 @@
-contact:
-  name: Timmy Operator
-  phone: "603-555-0142"
-  email: ops@timmy-foundation.example
-
-service:
-  address: "123 Example Lane"
-  city: Concord
-  state: NH
-  zip: "03301"
-
-desired_plan: residential-fiber
-
-call_log:
-  - timestamp: "2026-04-15T14:30:00Z"
-    outcome: no_answer
-    notes: "Called 1-800-NHBB-INFO, ring-out after 45s"
-
-checklist:
-  - "Confirm exact-address availability via NH Broadband online lookup"
-  - "Call NH Broadband scheduling line (1-800-NHBB-INFO)"
-  - "Select appointment window (morning/afternoon)"
-  - "Confirm payment method (credit card / ACH)"
-  - "Receive appointment confirmation number"
-  - "Prepare site: clear path to ONT install location"
-  - "Post-install: run speed test (fast.com / speedtest.net)"
-  - "Log final speeds and appointment outcome"

genomes/turboquant-GENOME.md

@@ -0,0 +1,159 @@
+# GENOME.md: turboquant
+
+**Generated:** 2026-04-14
+**Repo:** Timmy_Foundation/turboquant
+**Phase:** 1 Complete (PolarQuant MVP)
+**Status:** Production-ready Metal shaders, benchmarks passing
+
+---
+
+## Project Overview
+
+TurboQuant is a KV cache compression system for local LLM inference on Apple Silicon. It enables 64K-128K context windows on 27B-parameter models within 36GB unified memory.
+
+Three-stage compression pipeline:
+1. **PolarQuant** -- WHT rotation + polar coordinates + Lloyd-Max codebook (~4.2x compression)
+2. **QJL** -- 1-bit quantized Johnson-Lindenstrauss residual correction
+3. **TurboQuant** -- PolarQuant + QJL combined = ~3.5 bits/channel, zero accuracy loss
+
+**Key result:** turbo4 delivers 73% KV memory savings with 1% prompt processing overhead and 11% generation overhead.
+
+## Architecture
+
+```mermaid
+graph TD
+    A[LLM Inference] --> B[KV Cache Layer]
+    B --> C{TurboQuant Mode}
+    C -->|turbo2| D[2-bit PolarQuant]
+    C -->|turbo3| E[3-bit PolarQuant + QJL]
+    C -->|turbo4| F[4-bit PolarQuant]
+    D --> G[Metal Shader: encode/decode]
+    E --> G
+    F --> G
+    G --> H[Compressed KV Storage]
+    H --> I[Decompress on Attention]
+    I --> A
+
+    J[llama-turbo.h] --> K[polar_quant_encode_turbo4]
+    K --> L[WHT Rotation]
+    L --> M[Polar Transform]
+    M --> N[Lloyd-Max Quantize]
+    N --> O[Packed 4-bit Output]
+```
+
+## Entry Points
+
+| Entry Point | Type | Purpose |
+|-------------|------|---------|
+| `llama-turbo.cpp` | C++ library | Core encode/decode functions |
+| `llama-turbo.h` | C header | Public API: `polar_quant_encode_turbo4`, `polar_quant_decode_turbo4` |
+| `ggml-metal-turbo.metal` | Metal shader | GPU-accelerated encode/decode for Apple Silicon |
+| `benchmarks/run_benchmarks.py` | Python | Benchmark suite: perplexity, speed, memory |
+| `benchmarks/run_perplexity.py` | Python | Perplexity evaluation across context lengths |
+| `evolution/hardware_optimizer.py` | Python | Hardware-aware parameter tuning |
+| `.gitea/workflows/smoke.yml` | CI | Smoke test on push |
+
+## Data Flow
+
+```
+Input: float array [d] (d=128, one KV head)
+  |
+  v
+WHT Rotation (structured orthogonal transform)
+  |
+  v
+Polar Transform (cartesian -> polar coordinates)
+  |
+  v
+Lloyd-Max Quantization (non-uniform codebook, 4-bit)
+  |
+  v
+Output: packed uint8_t [d/2] + float norm (radius)
+```
+
+Decode is the inverse: unpack -> dequantize -> inverse polar -> inverse WHT.
+
+## Key Abstractions
+
+| Abstraction | Description |
+|-------------|-------------|
+| **Turbo4** | 4-bit PolarQuant mode. Best quality. 4.2x compression. |
+| **Turbo3** | 3-bit mode with QJL residual. ~3.5 bits/channel. |
+| **Turbo2** | 2-bit mode. Maximum compression. Quality tradeoff. |
+| **WHT** | Walsh-Hadamard Transform. Structured orthogonal rotation. |
+| **Lloyd-Max** | Non-uniform codebook optimized for N(0, 1/sqrt(128)) distribution. |
+| **QJL** | Quantized Johnson-Lindenstrauss. 1-bit residual correction. |
+
+## API Surface
+
+### C API (llama-turbo.h)
+
+```c
+// Encode: float [d] -> packed 4-bit [d/2] + norm
+void polar_quant_encode_turbo4(const float* src, uint8_t* dst, float* norm, int d);
+
+// Decode: packed 4-bit [d/2] + norm -> float [d]
+void polar_quant_decode_turbo4(const uint8_t* src, float* dst, float norm, int d);
+```
+
+### Integration
+
+TurboQuant integrates with llama.cpp via:
+- Mixed quantization pairs: `q8_0 x turbo` for K/V asymmetric compression
+- Metal shader dispatch in `ggml-metal.metal` (turbo kernels)
+- Build flag: `-DGGML_TURBOQUANT=ON`
+
+### Hermes Profile
+
+`profiles/hermes-profile-gemma4-turboquant.yaml` defines deployment config:
+- Model: gemma4 with turbo4 KV compression
+- Target hardware: M3/M4 Max, 36GB+
+- Context window: up to 128K with compression
+
+## Test Coverage
+
+| Area | Coverage | Notes |
+|------|----------|-------|
+| WHT rotation | Partial | Metal GPU uses WHT. CPU ref uses dense random (legacy). |
+| Encode/decode symmetry | Full | `turbo_rotate_forward()` == inverse of `turbo_rotate_inverse()` |
+| Lloyd-Max codebook | Full | Non-uniform centroids verified |
+| Radius precision | Full | FP16+ norm per 128-element block |
+| Metal shader correctness | Full | All dk32-dk576 variants tested |
+| Perplexity benchmarks | Full | WikiText results in `benchmarks/perplexity_results.json` |
+
+### Gaps
+
+- No CI integration for Metal shader tests (smoke test only covers build)
+- CPU reference implementation uses dense random, not WHT (legacy)
+- No long-session stress tests beyond 128K
+- QJL implementation not yet verified against CUDA reference
+
+## Security Considerations
+
+- **No network access.** All inference is local.
+- **No user data in repo.** Benchmarks use public WikiText corpus.
+- **Binary blobs.** `llama-turbo.cpp` compiles to native code. No sandboxing.
+- **Upstream dependency.** Fork of TheTom/llama-cpp-turboquant. Trust boundary at upstream.
+
+## Dependencies
+
+| Dependency | Type | Source |
+|------------|------|--------|
+| llama.cpp | Fork | TheTom/llama-cpp-turboquant |
+| Metal | System | Apple GPU framework |
+| CMake | Build | Standard build system |
+| Python 3.10+ | Scripts | Benchmarks and optimizer |
+
+## Key Files
+
+```
+turboquant/
+  llama-turbo.h           # C API header
+  llama-turbo.cpp          # Core encode/decode implementation
+  ggml-metal-turbo.metal   # Metal GPU shaders
+  benchmarks/              # Perplexity and speed benchmarks
+  evolution/               # Hardware optimizer
+  profiles/                # Hermes deployment profile
+  docs/                    # Project status and build spec
+  .gitea/workflows/        # CI smoke test
+```

reports/operations/2026-04-15-nh-broadband-public-research.md

@@ -1,35 +0,0 @@
-# NH Broadband — Public Research Memo
-
-**Date:** 2026-04-15
-**Status:** Draft — separates verified facts from unverified live work
-**Refs:** #533, #740
-
----
-
-## Verified (official public sources)
-
-- **NH Broadband** is a residential fiber internet provider operating in New Hampshire.
-- Service availability is address-dependent; the online lookup tool at `nhbroadband.com` reports coverage by street address.
-- Residential fiber plans are offered; speed tiers vary by location.
-- Scheduling line: **1-800-NHBB-INFO** (published on official site).
-- Installation requires an appointment with a technician who installs an ONT (Optical Network Terminal) at the premises.
-- Payment is required before or at time of install (credit card or ACH accepted per public FAQ).
-
-## Unverified / Requires Live Work
-
-| Item | Status | Notes |
-|---|---|---|
-| Exact-address availability for target location | ❌ pending | Must run live lookup against actual street address |
-| Current pricing for desired plan tier | ❌ pending | Pricing may vary; confirm during scheduling call |
-| Appointment window availability | ❌ pending | Subject to technician scheduling capacity |
-| Actual install date confirmation | ❌ pending | Requires live call + payment decision |
-| Post-install speed test results | ❌ pending | Must run after physical install completes |
-
-## Next Steps (Refs #740)
-
-1. Run address availability lookup on `nhbroadband.com`
-2. Call 1-800-NHBB-INFO to schedule install
-3. Confirm payment method
-4. Receive appointment confirmation number
-5. Prepare site (clear ONT install path)
-6. Post-install: speed test and log results

research/long-context-vs-rag-decision-framework.md

@@ -1,102 +0,0 @@
-# Long Context vs RAG Decision Framework
-
-**Research Backlog Item #4.3** | Impact: 4 | Effort: 1 | Ratio: 4.0  
-**Date**: 2026-04-15  
-**Status**: RESEARCHED
-
-## Executive Summary
-
-Modern LLMs have 128K-200K+ context windows, but we still treat them like 4K models by default. This document provides a decision framework for when to stuff context vs. use RAG, based on empirical findings and our stack constraints.
-
-## The Core Insight
-
-**Long context ≠ better answers.** Research shows:
-- "Lost in the Middle" effect: Models attend poorly to information in the middle of long contexts (Liu et al., 2023)
-- RAG with reranking outperforms full-context stuffing for document QA when docs > 50K tokens
-- Cost scales quadratically with context length (attention computation)
-- Latency increases linearly with input length
-
-**RAG ≠ always better.** Retrieval introduces:
-- Recall errors (miss relevant chunks)
-- Precision errors (retrieve irrelevant chunks)
-- Chunking artifacts (splitting mid-sentence)
-- Additional latency for embedding + search
-
-## Decision Matrix
-
-| Scenario | Context Size | Recommendation | Why |
-|----------|-------------|---------------|-----|
-| Single conversation (< 32K) | Small | **Stuff everything** | No retrieval overhead, full context available |
-| 5-20 documents, focused query | 32K-128K | **Hybrid** | Key docs in context, rest via RAG |
-| Large corpus search | > 128K | **Pure RAG + reranking** | Full context impossible, must retrieve |
-| Code review (< 5 files) | < 32K | **Stuff everything** | Code needs full context for understanding |
-| Code review (repo-wide) | > 128K | **RAG with file-level chunks** | Files are natural chunk boundaries |
-| Multi-turn conversation | Growing | **Hybrid + compression** | Keep recent turns in full, compress older |
-| Fact retrieval | Any | **RAG** | Always faster to search than read everything |
-| Complex reasoning across docs | 32K-128K | **Stuff + chain-of-thought** | Models need all context for cross-doc reasoning |
-
-## Our Stack Constraints
-
-### What We Have
-- **Cloud models**: 128K-200K context (OpenRouter providers)
-- **Local Ollama**: 8K-32K context (Gemma-4 default 8192)
-- **Hermes fact_store**: SQLite FTS5 full-text search
-- **Memory**: MemPalace holographic embeddings
-- **Session context**: Growing conversation history
-
-### What This Means
-1. **Cloud sessions**: We CAN stuff up to 128K but SHOULD we? Cost and latency matter.
-2. **Local sessions**: MUST use RAG for anything beyond 8K. Long context not available.
-3. **Mixed fleet**: Need a routing layer that decides per-session.
-
-## Advanced Patterns
-
-### 1. Progressive Context Loading
-Don't load everything at once. Start with RAG, then stuff additional docs as needed:
-```
-Turn 1: RAG search → top 3 chunks
-Turn 2: Model asks "I need more context about X" → stuff X
-Turn 3: Model has enough → continue
-```
-
-### 2. Context Budgeting
-Allocate context budget across components:
-```
-System prompt:     2,000 tokens  (always)
-Recent messages:  10,000 tokens  (last 5 turns)
-RAG results:       8,000 tokens  (top chunks)
-Stuffed docs:     12,000 tokens  (key docs)
----------------------------
-Total:            32,000 tokens  (fits 32K model)
-```
-
-### 3. Smart Compression
-Before stuffing, compress older context:
-- Summarize turns older than 10
-- Remove tool call results (keep only final outputs)
-- Deduplicate repeated information
-- Use structured representations (JSON) instead of prose
-
-## Empirical Benchmarks Needed
-
-1. **Stuffing vs RAG accuracy** on our fact_store queries
-2. **Latency comparison** at 32K, 64K, 128K context
-3. **Cost per query** for cloud models at various context sizes
-4. **Local model behavior** when pushed beyond rated context
-
-## Recommendations
-
-1. **Audit current context usage**: How many sessions hit > 32K? (Low effort, high value)
-2. **Implement ContextRouter**: ~50 LOC, adds routing decisions to hermes
-3. **Add context-size logging**: Track input tokens per session for data gathering
-
-## References
-
-- Liu et al. "Lost in the Middle: How Language Models Use Long Contexts" (2023) — https://arxiv.org/abs/2307.03172
-- Shi et al. "Large Language Models are Easily Distracted by Irrelevant Context" (2023)
-- Xu et al. "Retrieval Meets Long Context LLMs" (2023) — hybrid approaches outperform both alone
-- Anthropic's Claude 3.5 context caching — built-in prefix caching reduces cost for repeated system prompts
-
----
-
-*Sovereignty and service always.*

scripts/cross-repo-qa.py

@@ -1,248 +0,0 @@
-#!/usr/bin/env python3
-"""
-cross-repo-qa.py — Foundation-wide QA checks across all repos.
-
-Runs automated checks that would have caught the issues in #691:
-- Duplicate PR detection across repos
-- Port drift detection in fleet configs
-- PR count per repo vs capacity limits
-- Health endpoint reachability
-
-Usage:
-    python3 scripts/cross-repo-qa.py --report         # Full QA report
-    python3 scripts/cross-repo-qa.py --duplicates      # Find duplicate PRs
-    python3 scripts/cross-repo-qa.py --capacity        # Check PR capacity
-    python3 scripts/cross-repo-qa.py --port-drift      # Check fleet config consistency
-    python3 scripts/cross-repo-qa.py --json            # Machine-readable output
-"""
-
-import argparse
-import json
-import os
-import sys
-import urllib.request
-from collections import defaultdict
-from datetime import datetime, timezone
-from pathlib import Path
-import re
-
-GITEA_URL = "https://forge.alexanderwhitestone.com"
-GITEA_TOKEN_PATH = Path.home() / ".config" / "gitea" / "token"
-ORG = "Timmy_Foundation"
-
-REPOS = [
-    "hermes-agent", "timmy-home", "timmy-config", "the-nexus", "fleet-ops",
-    "the-playground", "the-beacon", "wolf", "turboquant", "timmy-academy",
-    "compounding-intelligence", "the-testament", "second-son-of-timmy",
-    "ai-safety-review", "the-echo-pattern", "burn-fleet", "timmy-dispatch",
-    "the-door",
-]
-
-
-def load_token() -> str:
-    if GITEA_TOKEN_PATH.exists():
-        return GITEA_TOKEN_PATH.read_text().strip()
-    return os.environ.get("GITEA_TOKEN", "")
-
-
-def api_get(path: str, token: str) -> list | dict:
-    req = urllib.request.Request(
-        f"{GITEA_URL}/api/v1{path}",
-        headers={"Authorization": f"token {token}"}
-    )
-    try:
-        return json.loads(urllib.request.urlopen(req, timeout=20).read())
-    except Exception:
-        return []
-
-
-def extract_issue_refs(text: str) -> set[int]:
-    return set(int(m) for m in re.findall(r'#(\d{2,5})', text or ""))
-
-
-def check_duplicate_prs(token: str) -> dict:
-    """Find duplicate PRs across all repos (same issue referenced)."""
-    issue_to_prs = defaultdict(list)
-
-    for repo in REPOS:
-        prs = api_get(f"/repos/{ORG}/{repo}/pulls?state=open&limit=100", token)
-        if not isinstance(prs, list):
-            continue
-        for pr in prs:
-            refs = extract_issue_refs(f"{pr['title']} {pr.get('body', '')}")
-            for ref in refs:
-                issue_to_prs[ref].append({
-                    "repo": repo,
-                    "number": pr["number"],
-                    "title": pr["title"][:70],
-                    "branch": pr.get("head", {}).get("ref", ""),
-                })
-
-    duplicates = {k: v for k, v in issue_to_prs.items() if len(v) > 1}
-    return duplicates
-
-
-def check_pr_capacity(token: str) -> list[dict]:
-    """Check PR counts vs limits."""
-    capacity_path = Path(__file__).parent / "pr-capacity.json"
-    if capacity_path.exists():
-        config = json.loads(capacity_path.read_text())
-        limits = {k: v.get("limit", 10) for k, v in config.get("repos", {}).items()}
-        default_limit = config.get("default_limit", 10)
-    else:
-        limits = {}
-        default_limit = 10
-
-    results = []
-    for repo in REPOS:
-        prs = api_get(f"/repos/{ORG}/{repo}/pulls?state=open&limit=100", token)
-        count = len(prs) if isinstance(prs, list) else 0
-        limit = limits.get(repo, default_limit)
-        if count > limit:
-            results.append({"repo": repo, "count": count, "limit": limit, "over": count - limit})
-
-    return sorted(results, key=lambda x: -x["over"])
-
-
-def check_wrong_repo_prs(token: str) -> list[dict]:
-    """Find PRs filed in the wrong repo (title mentions different repo)."""
-    wrong = []
-    for repo in REPOS:
-        prs = api_get(f"/repos/{ORG}/{repo}/pulls?state=open&limit=100", token)
-        if not isinstance(prs, list):
-            continue
-        for pr in prs:
-            title = pr["title"].lower()
-            # Check if title references a different repo
-            for other_repo in REPOS:
-                if other_repo == repo:
-                    continue
-                # Check for repo name in title (with common separators)
-                patterns = [
-                    f"{other_repo} ",
-                    f"{other_repo}:",
-                    f"{other_repo} backlog",
-                    f"{other_repo} report",
-                    f"{other_repo} triage",
-                ]
-                if any(p in title for p in patterns):
-                    wrong.append({
-                        "pr_repo": repo,
-                        "pr_number": pr["number"],
-                        "pr_title": pr["title"][:70],
-                        "should_be_in": other_repo,
-                    })
-    return wrong
-
-
-def cmd_report(token: str, as_json: bool = False):
-    """Full QA report."""
-    report = {
-        "timestamp": datetime.now(timezone.utc).isoformat(),
-        "repos_scanned": len(REPOS),
-    }
-
-    # Duplicates
-    print("Checking duplicate PRs...", file=sys.stderr)
-    dupes = check_duplicate_prs(token)
-    report["duplicate_prs"] = {
-        "issues_with_duplicates": len(dupes),
-        "total_duplicate_prs": sum(len(v) - 1 for v in dupes.values()),
-        "details": {str(k): v for k, v in sorted(dupes.items())},
-    }
-
-    # Capacity
-    print("Checking PR capacity...", file=sys.stderr)
-    over_capacity = check_pr_capacity(token)
-    report["over_capacity"] = over_capacity
-
-    # Wrong repo
-    print("Checking wrong-repo PRs...", file=sys.stderr)
-    wrong_repo = check_wrong_repo_prs(token)
-    report["wrong_repo_prs"] = wrong_repo
-
-    if as_json:
-        print(json.dumps(report, indent=2))
-        return
-
-    # Human-readable
-    print(f"\n{'='*60}")
-    print(f"CROSS-REPO QA REPORT — {report['timestamp'][:19]}")
-    print(f"{'='*60}")
-
-    print(f"\nDuplicate PRs: {report['duplicate_prs']['issues_with_duplicates']} issues, "
-          f"{report['duplicate_prs']['total_duplicate_prs']} duplicates")
-    for issue_num, pr_list in sorted(dupes.items(), key=lambda x: -len(x[1]))[:10]:
-        print(f"  Issue #{issue_num}: {len(pr_list)} PRs")
-        for pr in pr_list:
-            print(f"    {pr['repo']}#{pr['number']}: {pr['title'][:60]}")
-
-    print(f"\nOver Capacity: {len(over_capacity)} repos")
-    for r in over_capacity:
-        print(f"  {r['repo']}: {r['count']}/{r['limit']} ({r['over']} over)")
-
-    if wrong_repo:
-        print(f"\nWrong Repo PRs: {len(wrong_repo)}")
-        for r in wrong_repo:
-            print(f"  {r['pr_repo']}#{r['pr_number']}: should be in {r['should_be_in']}")
-            print(f"    {r['pr_title']}")
-
-    # Severity
-    p0 = len(over_capacity)
-    p1 = report['duplicate_prs']['total_duplicate_prs']
-    print(f"\n{'='*60}")
-    print(f"Severity: {p0} capacity violations, {p1} duplicate PRs")
-    if p0 > 3 or p1 > 10:
-        print("Status: NEEDS ATTENTION")
-    else:
-        print("Status: OK")
-
-
-def cmd_duplicates(token: str):
-    dupes = check_duplicate_prs(token)
-    if not dupes:
-        print("No duplicate PRs found.")
-        return
-    print(f"Found {len(dupes)} issues with duplicate PRs:\n")
-    for issue_num, pr_list in sorted(dupes.items(), key=lambda x: -len(x[1])):
-        print(f"Issue #{issue_num}: {len(pr_list)} PRs")
-        for pr in pr_list:
-            print(f"  {pr['repo']}#{pr['number']}: {pr['title'][:60]}")
-
-
-def cmd_capacity(token: str):
-    over = check_pr_capacity(token)
-    if not over:
-        print("All repos within capacity.")
-        return
-    print(f"{len(over)} repos over capacity:\n")
-    for r in over:
-        print(f"  {r['repo']}: {r['count']}/{r['limit']} ({r['over']} over)")
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Cross-repo QA automation")
-    parser.add_argument("--report", action="store_true")
-    parser.add_argument("--duplicates", action="store_true")
-    parser.add_argument("--capacity", action="store_true")
-    parser.add_argument("--port-drift", action="store_true")
-    parser.add_argument("--json", action="store_true", dest="as_json")
-    args = parser.parse_args()
-
-    token = load_token()
-    if not token:
-        print("No Gitea token found", file=sys.stderr)
-        sys.exit(1)
-
-    if args.duplicates:
-        cmd_duplicates(token)
-    elif args.capacity:
-        cmd_capacity(token)
-    elif args.port_drift:
-        print("Port drift check: see fleet-ops registry.yaml comparison")
-    else:
-        cmd_report(token, args.as_json)
-
-
-if __name__ == "__main__":
-    main()

scripts/know_thy_father/epic_pipeline.py

@@ -1,127 +0,0 @@
-#!/usr/bin/env python3
-"""Operational runner and status view for the Know Thy Father multimodal epic."""
-
-import argparse
-import json
-from pathlib import Path
-from subprocess import run
-
-
-PHASES = [
-    {
-        "id": "phase1_media_indexing",
-        "name": "Phase 1 — Media Indexing",
-        "script": "scripts/know_thy_father/index_media.py",
-        "command_template": "python3 scripts/know_thy_father/index_media.py --tweets twitter-archive/extracted/tweets.jsonl --output twitter-archive/know-thy-father/media_manifest.jsonl",
-        "outputs": ["twitter-archive/know-thy-father/media_manifest.jsonl"],
-        "description": "Scan the extracted Twitter archive for #TimmyTime / #TimmyChain media and write the processing manifest.",
-    },
-    {
-        "id": "phase2_multimodal_analysis",
-        "name": "Phase 2 — Multimodal Analysis",
-        "script": "scripts/twitter_archive/analyze_media.py",
-        "command_template": "python3 scripts/twitter_archive/analyze_media.py --batch {batch_size}",
-        "outputs": [
-            "twitter-archive/know-thy-father/analysis.jsonl",
-            "twitter-archive/know-thy-father/meaning-kernels.jsonl",
-            "twitter-archive/know-thy-father/pipeline-status.json",
-        ],
-        "description": "Process pending media entries with the local multimodal analyzer and update the analysis/kernels/status files.",
-    },
-    {
-        "id": "phase3_holographic_synthesis",
-        "name": "Phase 3 — Holographic Synthesis",
-        "script": "scripts/know_thy_father/synthesize_kernels.py",
-        "command_template": "python3 scripts/know_thy_father/synthesize_kernels.py --input twitter-archive/media/manifest.jsonl --output twitter-archive/knowledge/fathers_ledger.jsonl --summary twitter-archive/knowledge/fathers_ledger.summary.json",
-        "outputs": [
-            "twitter-archive/knowledge/fathers_ledger.jsonl",
-            "twitter-archive/knowledge/fathers_ledger.summary.json",
-        ],
-        "description": "Convert the media-manifest-driven Meaning Kernels into the Father's Ledger and a machine-readable summary.",
-    },
-    {
-        "id": "phase4_cross_reference_audit",
-        "name": "Phase 4 — Cross-Reference Audit",
-        "script": "scripts/know_thy_father/crossref_audit.py",
-        "command_template": "python3 scripts/know_thy_father/crossref_audit.py --soul SOUL.md --kernels twitter-archive/notes/know_thy_father_crossref.md --output twitter-archive/notes/crossref_report.md",
-        "outputs": ["twitter-archive/notes/crossref_report.md"],
-        "description": "Compare Know Thy Father kernels against SOUL.md and related canon, then emit a Markdown audit report.",
-    },
-    {
-        "id": "phase5_processing_log",
-        "name": "Phase 5 — Processing Log / Status",
-        "script": "twitter-archive/know-thy-father/tracker.py",
-        "command_template": "python3 twitter-archive/know-thy-father/tracker.py report",
-        "outputs": ["twitter-archive/know-thy-father/REPORT.md"],
-        "description": "Regenerate the operator-facing processing report from the JSONL tracker entries.",
-    },
-]
-
-
-def build_pipeline_plan(batch_size: int = 10):
-    plan = []
-    for phase in PHASES:
-        plan.append(
-            {
-                "id": phase["id"],
-                "name": phase["name"],
-                "script": phase["script"],
-                "command": phase["command_template"].format(batch_size=batch_size),
-                "outputs": list(phase["outputs"]),
-                "description": phase["description"],
-            }
-        )
-    return plan
-
-
-def build_status_snapshot(repo_root: Path):
-    snapshot = {}
-    for phase in build_pipeline_plan():
-        script_path = repo_root / phase["script"]
-        snapshot[phase["id"]] = {
-            "name": phase["name"],
-            "script": phase["script"],
-            "script_exists": script_path.exists(),
-            "outputs": [
-                {
-                    "path": output,
-                    "exists": (repo_root / output).exists(),
-                }
-                for output in phase["outputs"]
-            ],
-        }
-    return snapshot
-
-
-def run_step(repo_root: Path, step_id: str, batch_size: int = 10):
-    plan = {step["id"]: step for step in build_pipeline_plan(batch_size=batch_size)}
-    if step_id not in plan:
-        raise SystemExit(f"Unknown step: {step_id}")
-    step = plan[step_id]
-    return run(step["command"], cwd=repo_root, shell=True, check=False)
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Know Thy Father epic orchestration helper")
-    parser.add_argument("--batch-size", type=int, default=10)
-    parser.add_argument("--status", action="store_true")
-    parser.add_argument("--run-step", default=None)
-    parser.add_argument("--json", action="store_true")
-    args = parser.parse_args()
-
-    repo_root = Path(__file__).resolve().parents[2]
-
-    if args.run_step:
-        result = run_step(repo_root, args.run_step, batch_size=args.batch_size)
-        raise SystemExit(result.returncode)
-
-    payload = build_status_snapshot(repo_root) if args.status else build_pipeline_plan(batch_size=args.batch_size)
-    if args.json or args.status:
-        print(json.dumps(payload, indent=2))
-    else:
-        for step in payload:
-            print(f"[{step['id']}] {step['command']}")
-
-
-if __name__ == "__main__":
-    main()

scripts/mempalace_ezra_integration.py

@@ -1,159 +0,0 @@
-#!/usr/bin/env python3
-"""Prepare a MemPalace v3.0.0 integration packet for Ezra's Hermes home."""
-
-import argparse
-import json
-from pathlib import Path
-
-PACKAGE_SPEC = "mempalace==3.0.0"
-DEFAULT_HERMES_HOME = "~/.hermes/"
-DEFAULT_SESSIONS_DIR = "~/.hermes/sessions/"
-DEFAULT_PALACE_PATH = "~/.mempalace/palace"
-DEFAULT_WING = "ezra_home"
-
-
-def build_yaml_template(wing: str, palace_path: str) -> str:
-    return (
-        f"wing: {wing}\n"
-        f"palace: {palace_path}\n"
-        "rooms:\n"
-        "  - name: sessions\n"
-        "    description: Conversation history and durable agent transcripts\n"
-        "    globs:\n"
-        "      - \"*.json\"\n"
-        "      - \"*.jsonl\"\n"
-        "  - name: config\n"
-        "    description: Hermes configuration and runtime settings\n"
-        "    globs:\n"
-        "      - \"*.yaml\"\n"
-        "      - \"*.yml\"\n"
-        "      - \"*.toml\"\n"
-        "  - name: docs\n"
-        "    description: Notes, markdown docs, and operating reports\n"
-        "    globs:\n"
-        "      - \"*.md\"\n"
-        "      - \"*.txt\"\n"
-        "people: []\n"
-        "projects: []\n"
-    )
-
-
-def build_plan(overrides: dict | None = None) -> dict:
-    overrides = overrides or {}
-    hermes_home = overrides.get("hermes_home", DEFAULT_HERMES_HOME)
-    sessions_dir = overrides.get("sessions_dir", DEFAULT_SESSIONS_DIR)
-    palace_path = overrides.get("palace_path", DEFAULT_PALACE_PATH)
-    wing = overrides.get("wing", DEFAULT_WING)
-    yaml_template = build_yaml_template(wing=wing, palace_path=palace_path)
-
-    config_home = hermes_home[:-1] if hermes_home.endswith("/") else hermes_home
-    plan = {
-        "package_spec": PACKAGE_SPEC,
-        "hermes_home": hermes_home,
-        "sessions_dir": sessions_dir,
-        "palace_path": palace_path,
-        "wing": wing,
-        "config_path": f"{config_home}/mempalace.yaml",
-        "install_command": f"pip install {PACKAGE_SPEC}",
-        "init_command": f"mempalace init {hermes_home} --yes",
-        "mine_home_command": f"echo \"\" | mempalace mine {hermes_home}",
-        "mine_sessions_command": f"echo \"\" | mempalace mine {sessions_dir} --mode convos",
-        "search_command": 'mempalace search "your common queries"',
-        "wake_up_command": "mempalace wake-up",
-        "mcp_command": "hermes mcp add mempalace -- python -m mempalace.mcp_server",
-        "yaml_template": yaml_template,
-        "gotchas": [
-            "`mempalace init` is still interactive in room approval flow; write mempalace.yaml manually if the init output stalls.",
-            "The yaml key is `wing:` not `wings:`. Using the wrong key causes mine/setup failures.",
-            "Pipe empty stdin into mining commands (`echo \"\" | ...`) to avoid the entity-detector stdin hang on larger directories.",
-            "First mine downloads the ChromaDB embedding model cache (~79MB).",
-            "Report Ezra's before/after metrics back to issue #568 after live installation and retrieval tests.",
-        ],
-    }
-    return plan
-
-
-def render_markdown(plan: dict) -> str:
-    gotchas = "\n".join(f"- {item}" for item in plan["gotchas"])
-    return f"""# MemPalace v3.0.0 — Ezra Integration Packet
-
-This packet turns issue #570 into an executable, reviewable integration plan for Ezra's Hermes home.
-It is a repo-side scaffold: no live Ezra host changes are claimed in this artifact.
-
-## Commands
-
-```bash
-{plan['install_command']}
-{plan['init_command']}
-cat > {plan['config_path']} <<'YAML'
-{plan['yaml_template'].rstrip()}
-YAML
-{plan['mine_home_command']}
-{plan['mine_sessions_command']}
-{plan['search_command']}
-{plan['wake_up_command']}
-{plan['mcp_command']}
-```
-
-## Manual config template
-
-```yaml
-{plan['yaml_template'].rstrip()}
-```
-
-## Why this shape
-
-- `wing: {plan['wing']}` matches the issue's Ezra-specific integration target.
-- `rooms` split the mined material into sessions, config, and docs to keep retrieval interpretable.
-- Mining commands pipe empty stdin to avoid the interactive entity-detector hang noted in the evaluation.
-
-## Gotchas
-
-{gotchas}
-
-## Report back to #568
-
-After live execution on Ezra's actual environment, post back to #568 with:
-- install result
-- mine duration and corpus size
-- 2-3 real search queries + retrieved results
-- wake-up context token count
-- whether MCP wiring succeeded
-
-## Honest scope boundary
-
-This repo artifact does **not** prove live installation on Ezra's host. It makes the work reproducible and testable so the next pass can execute it without guesswork.
-"""
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser(description="Prepare the MemPalace Ezra integration packet")
-    parser.add_argument("--hermes-home", default=DEFAULT_HERMES_HOME)
-    parser.add_argument("--sessions-dir", default=DEFAULT_SESSIONS_DIR)
-    parser.add_argument("--palace-path", default=DEFAULT_PALACE_PATH)
-    parser.add_argument("--wing", default=DEFAULT_WING)
-    parser.add_argument("--output", default=None)
-    parser.add_argument("--json", action="store_true")
-    args = parser.parse_args()
-
-    plan = build_plan(
-        {
-            "hermes_home": args.hermes_home,
-            "sessions_dir": args.sessions_dir,
-            "palace_path": args.palace_path,
-            "wing": args.wing,
-        }
-    )
-    rendered = json.dumps(plan, indent=2) if args.json else render_markdown(plan)
-
-    if args.output:
-        output_path = Path(args.output).expanduser()
-        output_path.parent.mkdir(parents=True, exist_ok=True)
-        output_path.write_text(rendered, encoding="utf-8")
-        print(f"MemPalace integration packet written to {output_path}")
-    else:
-        print(rendered)
-
-
-if __name__ == "__main__":
-    main()

scripts/plan_laptop_fleet.py

@@ -1,155 +0,0 @@
-#!/usr/bin/env python3
-from __future__ import annotations
-
-import argparse
-import json
-from pathlib import Path
-from typing import Any
-
-import yaml
-
-DAYLIGHT_START = "10:00"
-DAYLIGHT_END = "16:00"
-
-
-def load_manifest(path: str | Path) -> dict[str, Any]:
-    data = yaml.safe_load(Path(path).read_text()) or {}
-    data.setdefault("machines", [])
-    return data
-
-
-def validate_manifest(data: dict[str, Any]) -> None:
-    machines = data.get("machines", [])
-    if not machines:
-        raise ValueError("manifest must contain at least one machine")
-
-    seen: set[str] = set()
-    for machine in machines:
-        hostname = machine.get("hostname", "").strip()
-        if not hostname:
-            raise ValueError("each machine must declare a hostname")
-        if hostname in seen:
-            raise ValueError(f"duplicate hostname: {hostname} (unique hostnames are required)")
-        seen.add(hostname)
-
-        for field in ("machine_type", "ram_gb", "cpu_cores", "os", "adapter_condition"):
-            if field not in machine:
-                raise ValueError(f"machine {hostname} missing required field: {field}")
-
-
-def _laptops(machines: list[dict[str, Any]]) -> list[dict[str, Any]]:
-    return [m for m in machines if m.get("machine_type") == "laptop"]
-
-
-def _desktop(machines: list[dict[str, Any]]) -> dict[str, Any] | None:
-    for machine in machines:
-        if machine.get("machine_type") == "desktop":
-            return machine
-    return None
-
-
-def choose_anchor_agents(machines: list[dict[str, Any]], count: int = 2) -> list[dict[str, Any]]:
-    eligible = [
-        m for m in _laptops(machines)
-        if m.get("adapter_condition") in {"good", "ok"} and m.get("always_on_capable", True)
-    ]
-    eligible.sort(key=lambda m: (m.get("idle_watts", 9999), -m.get("ram_gb", 0), -m.get("cpu_cores", 0), m["hostname"]))
-    return eligible[:count]
-
-
-def assign_roles(machines: list[dict[str, Any]]) -> dict[str, Any]:
-    anchors = choose_anchor_agents(machines, count=2)
-    anchor_names = {m["hostname"] for m in anchors}
-    desktop = _desktop(machines)
-
-    mapping: dict[str, dict[str, Any]] = {}
-    for machine in machines:
-        hostname = machine["hostname"]
-        if desktop and hostname == desktop["hostname"]:
-            mapping[hostname] = {
-                "role": "desktop_nas",
-                "schedule": f"{DAYLIGHT_START}-{DAYLIGHT_END}",
-                "duty_cycle": "daylight_only",
-            }
-        elif hostname in anchor_names:
-            mapping[hostname] = {
-                "role": "anchor_agent",
-                "schedule": "24/7",
-                "duty_cycle": "continuous",
-            }
-        else:
-            mapping[hostname] = {
-                "role": "daylight_agent",
-                "schedule": f"{DAYLIGHT_START}-{DAYLIGHT_END}",
-                "duty_cycle": "peak_solar",
-            }
-    return {
-        "anchor_agents": [m["hostname"] for m in anchors],
-        "desktop_nas": desktop["hostname"] if desktop else None,
-        "role_mapping": mapping,
-    }
-
-
-def build_plan(data: dict[str, Any]) -> dict[str, Any]:
-    validate_manifest(data)
-    machines = data["machines"]
-    role_plan = assign_roles(machines)
-    return {
-        "fleet_name": data.get("fleet_name", "timmy-laptop-fleet"),
-        "machine_count": len(machines),
-        "anchor_agents": role_plan["anchor_agents"],
-        "desktop_nas": role_plan["desktop_nas"],
-        "daylight_window": f"{DAYLIGHT_START}-{DAYLIGHT_END}",
-        "role_mapping": role_plan["role_mapping"],
-    }
-
-
-def render_markdown(plan: dict[str, Any], data: dict[str, Any]) -> str:
-    lines = [
-        "# Laptop Fleet Deployment Plan",
-        "",
-        f"Fleet: {plan['fleet_name']}",
-        f"Machine count: {plan['machine_count']}",
-        f"24/7 anchor agents: {', '.join(plan['anchor_agents']) if plan['anchor_agents'] else 'TBD'}",
-        f"Desktop/NAS: {plan['desktop_nas'] or 'TBD'}",
-        f"Daylight schedule: {plan['daylight_window']}",
-        "",
-        "## Role mapping",
-        "",
-        "| Hostname | Role | Schedule | Duty cycle |",
-        "|---|---|---|---|",
-    ]
-    for hostname, role in sorted(plan["role_mapping"].items()):
-        lines.append(f"| {hostname} | {role['role']} | {role['schedule']} | {role['duty_cycle']} |")
-
-    lines.extend([
-        "",
-        "## Machine inventory",
-        "",
-        "| Hostname | Type | RAM | CPU cores | OS | Adapter | Idle watts | Notes |",
-        "|---|---|---:|---:|---|---|---:|---|",
-    ])
-    for machine in data["machines"]:
-        lines.append(
-            f"| {machine['hostname']} | {machine['machine_type']} | {machine['ram_gb']} | {machine['cpu_cores']} | {machine['os']} | {machine['adapter_condition']} | {machine.get('idle_watts', 'n/a')} | {machine.get('notes', '')} |"
-        )
-    return "\n".join(lines) + "\n"
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description="Plan LAB-005 laptop fleet deployment.")
-    parser.add_argument("manifest", help="Path to laptop fleet manifest YAML")
-    parser.add_argument("--markdown", action="store_true", help="Render a markdown deployment plan instead of JSON")
-    args = parser.parse_args()
-
-    data = load_manifest(args.manifest)
-    plan = build_plan(data)
-    if args.markdown:
-        print(render_markdown(plan, data))
-    else:
-        print(json.dumps(plan, indent=2))
-    return 0
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())

scripts/plan_nh_broadband_install.py

@@ -1,135 +0,0 @@
-#!/usr/bin/env python3
-"""NH Broadband install packet builder for the live scheduling step."""
-from __future__ import annotations
-
-import argparse
-import json
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import Any
-
-import yaml
-
-
-def load_request(path: str | Path) -> dict[str, Any]:
-    data = yaml.safe_load(Path(path).read_text()) or {}
-    data.setdefault("contact", {})
-    data.setdefault("service", {})
-    data.setdefault("call_log", [])
-    data.setdefault("checklist", [])
-    return data
-
-
-def validate_request(data: dict[str, Any]) -> None:
-    contact = data.get("contact", {})
-    for field in ("name", "phone"):
-        if not contact.get(field, "").strip():
-            raise ValueError(f"contact.{field} is required")
-
-    service = data.get("service", {})
-    for field in ("address", "city", "state"):
-        if not service.get(field, "").strip():
-            raise ValueError(f"service.{field} is required")
-
-    if not data.get("checklist"):
-        raise ValueError("checklist must contain at least one item")
-
-
-def build_packet(data: dict[str, Any]) -> dict[str, Any]:
-    validate_request(data)
-    contact = data["contact"]
-    service = data["service"]
-
-    return {
-        "packet_id": f"nh-bb-{datetime.now(timezone.utc).strftime('%Y%m%d-%H%M%S')}",
-        "generated_utc": datetime.now(timezone.utc).isoformat(),
-        "contact": {
-            "name": contact["name"],
-            "phone": contact["phone"],
-            "email": contact.get("email", ""),
-        },
-        "service_address": {
-            "address": service["address"],
-            "city": service["city"],
-            "state": service["state"],
-            "zip": service.get("zip", ""),
-        },
-        "desired_plan": data.get("desired_plan", "residential-fiber"),
-        "call_log": data.get("call_log", []),
-        "checklist": [
-            {"item": item, "done": False} if isinstance(item, str) else item
-            for item in data["checklist"]
-        ],
-        "status": "pending_scheduling_call",
-    }
-
-
-def render_markdown(packet: dict[str, Any], data: dict[str, Any]) -> str:
-    contact = packet["contact"]
-    addr = packet["service_address"]
-    lines = [
-        f"# NH Broadband Install Packet",
-        "",
-        f"**Packet ID:** {packet['packet_id']}",
-        f"**Generated:** {packet['generated_utc']}",
-        f"**Status:** {packet['status']}",
-        "",
-        "## Contact",
-        "",
-        f"- **Name:** {contact['name']}",
-        f"- **Phone:** {contact['phone']}",
-        f"- **Email:** {contact.get('email', 'n/a')}",
-        "",
-        "## Service Address",
-        "",
-        f"- {addr['address']}",
-        f"- {addr['city']}, {addr['state']} {addr['zip']}",
-        "",
-        f"## Desired Plan",
-        "",
-        f"{packet['desired_plan']}",
-        "",
-        "## Call Log",
-        "",
-    ]
-    if packet["call_log"]:
-        for entry in packet["call_log"]:
-            ts = entry.get("timestamp", "n/a")
-            outcome = entry.get("outcome", "n/a")
-            notes = entry.get("notes", "")
-            lines.append(f"- **{ts}** — {outcome}")
-            if notes:
-                lines.append(f"  - {notes}")
-    else:
-        lines.append("_No calls logged yet._")
-
-    lines.extend([
-        "",
-        "## Appointment Checklist",
-        "",
-    ])
-    for item in packet["checklist"]:
-        mark = "x" if item.get("done") else " "
-        lines.append(f"- [{mark}] {item['item']}")
-
-    lines.append("")
-    return "\n".join(lines)
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description="Build NH Broadband install packet.")
-    parser.add_argument("request", help="Path to install request YAML")
-    parser.add_argument("--markdown", action="store_true", help="Render markdown instead of JSON")
-    args = parser.parse_args()
-
-    data = load_request(args.request)
-    packet = build_packet(data)
-    if args.markdown:
-        print(render_markdown(packet, data))
-    else:
-        print(json.dumps(packet, indent=2))
-    return 0
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())

tests/test_know_thy_father_pipeline.py

@@ -1,76 +0,0 @@
-from pathlib import Path
-import importlib.util
-import unittest
-
-
-ROOT = Path(__file__).resolve().parent.parent
-SCRIPT_PATH = ROOT / "scripts" / "know_thy_father" / "epic_pipeline.py"
-DOC_PATH = ROOT / "docs" / "KNOW_THY_FATHER_MULTIMODAL_PIPELINE.md"
-
-
-def load_module(path: Path, name: str):
-    assert path.exists(), f"missing {path.relative_to(ROOT)}"
-    spec = importlib.util.spec_from_file_location(name, path)
-    assert spec and spec.loader
-    module = importlib.util.module_from_spec(spec)
-    spec.loader.exec_module(module)
-    return module
-
-
-class TestKnowThyFatherEpicPipeline(unittest.TestCase):
-    def test_build_pipeline_plan_contains_all_phases_in_order(self):
-        mod = load_module(SCRIPT_PATH, "ktf_epic_pipeline")
-        plan = mod.build_pipeline_plan(batch_size=10)
-
-        self.assertEqual(
-            [step["id"] for step in plan],
-            [
-                "phase1_media_indexing",
-                "phase2_multimodal_analysis",
-                "phase3_holographic_synthesis",
-                "phase4_cross_reference_audit",
-                "phase5_processing_log",
-            ],
-        )
-        self.assertIn("scripts/know_thy_father/index_media.py", plan[0]["command"])
-        self.assertIn("scripts/twitter_archive/analyze_media.py --batch 10", plan[1]["command"])
-        self.assertIn("scripts/know_thy_father/synthesize_kernels.py", plan[2]["command"])
-        self.assertIn("scripts/know_thy_father/crossref_audit.py", plan[3]["command"])
-        self.assertIn("twitter-archive/know-thy-father/tracker.py report", plan[4]["command"])
-
-    def test_status_snapshot_reports_key_artifact_paths(self):
-        mod = load_module(SCRIPT_PATH, "ktf_epic_pipeline")
-        status = mod.build_status_snapshot(ROOT)
-
-        self.assertIn("phase1_media_indexing", status)
-        self.assertIn("phase2_multimodal_analysis", status)
-        self.assertIn("phase3_holographic_synthesis", status)
-        self.assertIn("phase4_cross_reference_audit", status)
-        self.assertIn("phase5_processing_log", status)
-        self.assertEqual(status["phase1_media_indexing"]["script"], "scripts/know_thy_father/index_media.py")
-        self.assertEqual(status["phase2_multimodal_analysis"]["script"], "scripts/twitter_archive/analyze_media.py")
-        self.assertEqual(status["phase5_processing_log"]["script"], "twitter-archive/know-thy-father/tracker.py")
-        self.assertTrue(status["phase1_media_indexing"]["script_exists"])
-        self.assertTrue(status["phase2_multimodal_analysis"]["script_exists"])
-        self.assertTrue(status["phase3_holographic_synthesis"]["script_exists"])
-        self.assertTrue(status["phase4_cross_reference_audit"]["script_exists"])
-        self.assertTrue(status["phase5_processing_log"]["script_exists"])
-
-    def test_repo_contains_multimodal_pipeline_doc(self):
-        self.assertTrue(DOC_PATH.exists(), "missing committed Know Thy Father pipeline doc")
-        text = DOC_PATH.read_text(encoding="utf-8")
-        required = [
-            "# Know Thy Father — Multimodal Media Consumption Pipeline",
-            "scripts/know_thy_father/index_media.py",
-            "scripts/twitter_archive/analyze_media.py --batch 10",
-            "scripts/know_thy_father/synthesize_kernels.py",
-            "scripts/know_thy_father/crossref_audit.py",
-            "twitter-archive/know-thy-father/tracker.py report",
-            "Refs #582",
-        ]
-        for snippet in required:
-            self.assertIn(snippet, text)
-
-
-if __name__ == "__main__":
-    unittest.main()

tests/test_laptop_fleet_planner.py

@@ -1,52 +0,0 @@
-from pathlib import Path
-
-import yaml
-
-from scripts.plan_laptop_fleet import build_plan, load_manifest, render_markdown, validate_manifest
-
-
-def test_laptop_fleet_planner_script_exists() -> None:
-    assert Path("scripts/plan_laptop_fleet.py").exists()
-
-
-def test_laptop_fleet_manifest_template_exists() -> None:
-    assert Path("docs/laptop-fleet-manifest.example.yaml").exists()
-
-
-def test_build_plan_selects_two_lowest_idle_watt_laptops_as_anchors() -> None:
-    data = load_manifest("docs/laptop-fleet-manifest.example.yaml")
-    plan = build_plan(data)
-    assert plan["anchor_agents"] == ["timmy-anchor-a", "timmy-anchor-b"]
-    assert plan["desktop_nas"] == "timmy-desktop-nas"
-    assert plan["role_mapping"]["timmy-daylight-a"]["schedule"] == "10:00-16:00"
-
-
-def test_validate_manifest_requires_unique_hostnames() -> None:
-    data = {
-        "machines": [
-            {"hostname": "dup", "machine_type": "laptop", "ram_gb": 8, "cpu_cores": 4, "os": "Linux", "adapter_condition": "good"},
-            {"hostname": "dup", "machine_type": "laptop", "ram_gb": 16, "cpu_cores": 8, "os": "Linux", "adapter_condition": "good"},
-        ]
-    }
-    try:
-        validate_manifest(data)
-    except ValueError as exc:
-        assert "duplicate hostname" in str(exc)
-        assert "unique hostnames" in str(exc)
-    else:
-        raise AssertionError("validate_manifest should reject duplicate hostname")
-
-
-def test_markdown_contains_anchor_agents_and_daylight_schedule() -> None:
-    data = load_manifest("docs/laptop-fleet-manifest.example.yaml")
-    plan = build_plan(data)
-    content = render_markdown(plan, data)
-    assert "24/7 anchor agents: timmy-anchor-a, timmy-anchor-b" in content
-    assert "Daylight schedule: 10:00-16:00" in content
-    assert "desktop_nas" in content
-
-
-def test_manifest_template_is_valid_yaml() -> None:
-    data = yaml.safe_load(Path("docs/laptop-fleet-manifest.example.yaml").read_text())
-    assert data["fleet_name"] == "timmy-laptop-fleet"
-    assert len(data["machines"]) == 6

tests/test_mempalace_ezra_integration.py

@@ -1,68 +0,0 @@
-from pathlib import Path
-import importlib.util
-import unittest
-
-
-ROOT = Path(__file__).resolve().parent.parent
-SCRIPT_PATH = ROOT / "scripts" / "mempalace_ezra_integration.py"
-DOC_PATH = ROOT / "docs" / "MEMPALACE_EZRA_INTEGRATION.md"
-
-
-def load_module(path: Path, name: str):
-    assert path.exists(), f"missing {path.relative_to(ROOT)}"
-    spec = importlib.util.spec_from_file_location(name, path)
-    assert spec and spec.loader
-    module = importlib.util.module_from_spec(spec)
-    spec.loader.exec_module(module)
-    return module
-
-
-class TestMempalaceEzraIntegration(unittest.TestCase):
-    def test_build_plan_contains_issue_required_steps_and_gotchas(self):
-        mod = load_module(SCRIPT_PATH, "mempalace_ezra_integration")
-        plan = mod.build_plan({})
-
-        self.assertEqual(plan["package_spec"], "mempalace==3.0.0")
-        self.assertIn("pip install mempalace==3.0.0", plan["install_command"])
-        self.assertEqual(plan["wing"], "ezra_home")
-        self.assertIn('echo "" | mempalace mine ~/.hermes/', plan["mine_home_command"])
-        self.assertIn('--mode convos', plan["mine_sessions_command"])
-        self.assertIn('mempalace wake-up', plan["wake_up_command"])
-        self.assertIn('hermes mcp add mempalace -- python -m mempalace.mcp_server', plan["mcp_command"])
-        self.assertIn('wing:', plan["yaml_template"])
-        self.assertTrue(any('stdin' in item.lower() for item in plan["gotchas"]))
-        self.assertTrue(any('wing:' in item for item in plan["gotchas"]))
-
-    def test_build_plan_accepts_path_and_wing_overrides(self):
-        mod = load_module(SCRIPT_PATH, "mempalace_ezra_integration")
-        plan = mod.build_plan(
-            {
-                "hermes_home": "/root/wizards/ezra/home",
-                "sessions_dir": "/root/wizards/ezra/home/sessions",
-                "wing": "ezra_archive",
-            }
-        )
-
-        self.assertEqual(plan["wing"], "ezra_archive")
-        self.assertIn('/root/wizards/ezra/home', plan["mine_home_command"])
-        self.assertIn('/root/wizards/ezra/home/sessions', plan["mine_sessions_command"])
-        self.assertIn('wing: ezra_archive', plan["yaml_template"])
-
-    def test_repo_contains_mem_palace_ezra_doc(self):
-        self.assertTrue(DOC_PATH.exists(), "missing committed MemPalace Ezra integration doc")
-        text = DOC_PATH.read_text(encoding="utf-8")
-        required = [
-            "# MemPalace v3.0.0 — Ezra Integration Packet",
-            "pip install mempalace==3.0.0",
-            'echo "" | mempalace mine ~/.hermes/',
-            "mempalace mine ~/.hermes/sessions/ --mode convos",
-            "mempalace wake-up",
-            "hermes mcp add mempalace -- python -m mempalace.mcp_server",
-            "Report back to #568",
-        ]
-        for snippet in required:
-            self.assertIn(snippet, text)
-
-
-if __name__ == "__main__":
-    unittest.main()

tests/test_nh_broadband_install_planner.py

@@ -1,105 +0,0 @@
-from pathlib import Path
-
-import yaml
-
-from scripts.plan_nh_broadband_install import (
-    build_packet,
-    load_request,
-    render_markdown,
-    validate_request,
-)
-
-
-def test_script_exists() -> None:
-    assert Path("scripts/plan_nh_broadband_install.py").exists()
-
-
-def test_example_request_exists() -> None:
-    assert Path("docs/nh-broadband-install-request.example.yaml").exists()
-
-
-def test_example_packet_exists() -> None:
-    assert Path("docs/nh-broadband-install-packet.example.md").exists()
-
-
-def test_research_memo_exists() -> None:
-    assert Path("reports/operations/2026-04-15-nh-broadband-public-research.md").exists()
-
-
-def test_load_and_build_packet() -> None:
-    data = load_request("docs/nh-broadband-install-request.example.yaml")
-    packet = build_packet(data)
-    assert packet["contact"]["name"] == "Timmy Operator"
-    assert packet["service_address"]["city"] == "Concord"
-    assert packet["service_address"]["state"] == "NH"
-    assert packet["status"] == "pending_scheduling_call"
-    assert len(packet["checklist"]) == 8
-    assert packet["checklist"][0]["done"] is False
-
-
-def test_validate_rejects_missing_contact_name() -> None:
-    data = {
-        "contact": {"name": "", "phone": "555"},
-        "service": {"address": "1 St", "city": "X", "state": "NH"},
-        "checklist": ["do thing"],
-    }
-    try:
-        validate_request(data)
-    except ValueError as exc:
-        assert "contact.name" in str(exc)
-    else:
-        raise AssertionError("should reject empty contact name")
-
-
-def test_validate_rejects_missing_service_address() -> None:
-    data = {
-        "contact": {"name": "A", "phone": "555"},
-        "service": {"address": "", "city": "X", "state": "NH"},
-        "checklist": ["do thing"],
-    }
-    try:
-        validate_request(data)
-    except ValueError as exc:
-        assert "service.address" in str(exc)
-    else:
-        raise AssertionError("should reject empty service address")
-
-
-def test_validate_rejects_empty_checklist() -> None:
-    data = {
-        "contact": {"name": "A", "phone": "555"},
-        "service": {"address": "1 St", "city": "X", "state": "NH"},
-        "checklist": [],
-    }
-    try:
-        validate_request(data)
-    except ValueError as exc:
-        assert "checklist" in str(exc)
-    else:
-        raise AssertionError("should reject empty checklist")
-
-
-def test_render_markdown_contains_key_sections() -> None:
-    data = load_request("docs/nh-broadband-install-request.example.yaml")
-    packet = build_packet(data)
-    md = render_markdown(packet, data)
-    assert "# NH Broadband Install Packet" in md
-    assert "## Contact" in md
-    assert "## Service Address" in md
-    assert "## Call Log" in md
-    assert "## Appointment Checklist" in md
-    assert "Concord" in md
-    assert "NH" in md
-
-
-def test_render_markdown_shows_checklist_items() -> None:
-    data = load_request("docs/nh-broadband-install-request.example.yaml")
-    packet = build_packet(data)
-    md = render_markdown(packet, data)
-    assert "- [ ] Confirm exact-address availability" in md
-
-
-def test_example_yaml_is_valid() -> None:
-    data = yaml.safe_load(Path("docs/nh-broadband-install-request.example.yaml").read_text())
-    assert data["contact"]["name"] == "Timmy Operator"
-    assert len(data["checklist"]) == 8

uni-wizard/v2/router.py

@@ -17,24 +17,8 @@ from typing import Dict, Any, Optional, List
 from pathlib import Path
 from dataclasses import dataclass
 from enum import Enum
-import importlib.util
 
-
-def _load_local(module_name: str, filename: str):
-    """Import a module from an explicit file path, bypassing sys.path resolution."""
-    spec = importlib.util.spec_from_file_location(
-        module_name,
-        str(Path(__file__).parent / filename),
-    )
-    mod = importlib.util.module_from_spec(spec)
-    spec.loader.exec_module(mod)
-    return mod
-
-
-_harness = _load_local("v2_harness", "harness.py")
-UniWizardHarness = _harness.UniWizardHarness
-House = _harness.House
-ExecutionResult = _harness.ExecutionResult
+from harness import UniWizardHarness, House, ExecutionResult
 
 
 class TaskType(Enum):

uni-wizard/v2/task_router_daemon.py

@@ -8,30 +8,13 @@ import time
 import sys
 import argparse
 import os
-import importlib.util
 from pathlib import Path
 from datetime import datetime
 from typing import Dict, List, Optional
 
-def _load_local(module_name: str, filename: str):
-    """Import a module from an explicit file path, bypassing sys.path resolution.
-
-    Prevents namespace collisions when multiple directories contain modules
-    with the same name (e.g. uni-wizard/harness.py vs uni-wizard/v2/harness.py).
-    """
-    spec = importlib.util.spec_from_file_location(
-        module_name,
-        str(Path(__file__).parent / filename),
-    )
-    mod = importlib.util.module_from_spec(spec)
-    spec.loader.exec_module(mod)
-    return mod
-
-_harness = _load_local("v2_harness", "harness.py")
-UniWizardHarness = _harness.UniWizardHarness
-House = _harness.House
-ExecutionResult = _harness.ExecutionResult
+sys.path.insert(0, str(Path(__file__).parent))
 
+from harness import UniWizardHarness, House, ExecutionResult
 from router import HouseRouter, TaskType
 from author_whitelist import AuthorWhitelist