[gemini] [OPENCLAW] Phase 4: Wire Nostr channel (#61)

Only version adapters (~40MB each), never base models.
Base models are reproducible HuggingFace downloads referenced by path.
Manifest records: base, data, training config, eval results, status.

History: v0 through v0.2 on 8B (crisis gated, retired/rejected).
Active: v1.0 training now on Hermes4-14B-4bit.

.gitignore

@@ -8,3 +8,4 @@
 *.db-wal
 *.db-shm
 __pycache__/
+.aider*

DEPRECATED.md

@@ -1,7 +1,7 @@
 # DEPRECATED — Bash Loop Scripts Removed
 
 **Date:** 2026-03-25
-**Reason:** Replaced by sovereign-orchestration (SQLite + Python single-process executor)
+**Reason:** Replaced by Hermes + timmy-config sidecar orchestration
 
 ## What was removed
 - claude-loop.sh, gemini-loop.sh, agent-loop.sh
@@ -9,14 +9,15 @@
 - nexus-merge-bot.sh, claudemax-watchdog.sh, timmy-loopstat.sh
 
 ## What replaces them
-**Repo:** Timmy_Foundation/sovereign-orchestration
-**Entry point:** `python3 src/sovereign_executor.py --workers 3 --poll 30`
-**Features:** SQLite task queue, crash recovery, dedup, playbooks, MCP server
-**Issues:** #29 (fix imports), #30 (deploy as service)
+**Harness:** Hermes
+**Overlay repo:** Timmy_Foundation/timmy-config
+**Entry points:** `orchestration.py`, `tasks.py`, `deploy.sh`
+**Features:** Huey + SQLite scheduling, local-model health checks, session export, DPO artifact staging
 
 ## Why
 The bash loops crash-looped, produced zero work after relaunch, had no crash
-recovery, no dedup, and required 8 separate scripts. The Python executor is
-one process with SQLite durability.
+recovery, no durable export path, and required too many ad hoc scripts. The
+Hermes sidecar keeps orchestration close to Timmy's actual config and training
+surfaces.
 
-Do NOT recreate bash loops. If the executor is broken, fix the executor.
+Do NOT recreate bash loops. If orchestration is broken, fix the Hermes sidecar.

README.md

@@ -2,7 +2,7 @@
 
 Timmy's sovereign configuration. Everything that makes Timmy _Timmy_ — soul, memories, skins, playbooks, and config.
 
-This repo is the canonical source of truth for Timmy's identity and operational state. Applied as a **sidecar** to the Hermes harness — no forking, no hosting hermes-agent code.
+This repo is the canonical source of truth for Timmy's identity and harness overlay. Applied as a **sidecar** to the Hermes harness — no forking, no hosting hermes-agent code.
 
 ## Structure
 
@@ -14,22 +14,40 @@ timmy-config/
 ├── DEPRECATED.md              ← What was removed and why
 ├── config.yaml                ← Hermes harness configuration
 ├── channel_directory.json     ← Platform channel mappings
-├── bin/                       ← Utility scripts (NOT loops — see below)
+├── bin/                       ← Live utility scripts (NOT deprecated loops)
 │   ├── hermes-startup.sh      ← Hermes boot sequence
 │   ├── agent-dispatch.sh      ← Manual agent dispatch
 │   ├── ops-panel.sh           ← Ops dashboard panel
 │   ├── ops-gitea.sh           ← Gitea ops helpers
+│   ├── pipeline-freshness.sh  ← Session/export drift check
 │   └── timmy-status.sh        ← Status check
 ├── memories/                  ← Persistent memory YAML
 ├── skins/                     ← UI skins (timmy skin)
 ├── playbooks/                 ← Agent playbooks (YAML)
-└── cron/                      ← Cron job definitions
+├── cron/                      ← Cron job definitions
+└── training/                  ← Transitional training recipes, not canonical lived data
 ```
 
+## Boundary
+
+`timmy-config` owns identity, conscience, memories, skins, playbooks, channel
+maps, and harness-side orchestration glue.
+
+`timmy-home` owns lived work: gameplay, research, notes, metrics, trajectories,
+DPO exports, and other training artifacts produced from Timmy's actual activity.
+
+If a file answers "who is Timmy?" or "how does Hermes host him?", it belongs
+here. If it answers "what has Timmy done or learned?" it belongs in
+`timmy-home`.
+
+The scripts in `bin/` are live operational helpers for the Hermes sidecar.
+What is dead are the old long-running bash worker loops, not every script in
+this repo.
+
 ## Orchestration: Huey
 
 All orchestration (triage, PR review, dispatch) runs via [Huey](https://github.com/coleifer/huey) with SQLite.
-`orchestration.py` (6 lines) + `tasks.py` (~70 lines) replace the entire sovereign-orchestration repo (3,846 lines).
+`orchestration.py` + `tasks.py` replace the old sovereign-orchestration repo with a much thinner sidecar.
 
 ```bash
 pip install huey

autolora/manifest.yaml

@@ -0,0 +1,62 @@
+# Timmy Adapter Manifest
+# Only version adapters, never base models. Base models are reproducible downloads.
+# Adapters are the diff. The manifest is the record.
+
+bases:
+  hermes3-8b-4bit:
+    source: mlx-community/Hermes-3-Llama-3.1-8B-4bit
+    local: ~/models/Hermes-3-Llama-3.1-8B-4bit
+    arch: llama3
+    params: 8B
+    quant: 4-bit MLX
+
+  hermes4-14b-4bit:
+    source: mlx-community/Hermes-4-14B-4bit
+    local: ~/models/hermes4-14b-mlx
+    arch: qwen3
+    params: 14.8B
+    quant: 4-bit MLX
+
+adapters:
+  timmy-v0:
+    base: hermes3-8b-4bit
+    date: 2026-03-24
+    status: retired
+    data: 1154 sessions (technical only, no crisis/pastoral)
+    training: { lr: 2e-6, rank: 8, iters: 1000, best_iter: 800, val_loss: 2.134 }
+    eval: { identity: PASS, sovereignty: PASS, coding: PASS, crisis: FAIL, faith: FAIL }
+    notes: "First adapter. Crisis fails — data was 99% technical. Sacred rule: REJECTED."
+
+  timmy-v0-nan-run1:
+    base: hermes3-8b-4bit
+    date: 2026-03-24
+    status: rejected
+    notes: "NaN at iter 70. lr=1e-5 too high for 4-bit. Dead on arrival."
+
+  timmy-v0.1:
+    base: hermes3-8b-4bit
+    date: 2026-03-25
+    status: retired
+    data: 1203 train / 135 valid (enriched with 49 crisis/faith synthetic)
+    training: { lr: 5e-6, rank: 8, iters: 600, val_loss: 2.026 }
+    eval: { identity: PASS, sovereignty: PASS, coding: PASS, crisis: PARTIAL, faith: FAIL }
+    notes: "Crisis partial — mentions seeking help but no 988/gospel. Rank 8 can't override base priors."
+
+  timmy-v0.2:
+    base: hermes3-8b-4bit
+    date: 2026-03-25
+    status: rejected
+    data: 1214 train / 141 valid (12 targeted crisis/faith examples, 5x duplicated)
+    training: { lr: 5e-6, rank: 16, iters: 800 }
+    eval: "NaN at iter 100. Rank 16 + lr 5e-6 unstable on 4-bit."
+    notes: "Dead. Halve lr when doubling rank."
+
+  # NEXT
+  timmy-v1.0:
+    base: hermes4-14b-4bit
+    date: 2026-03-26
+    status: rejected
+    data: 1125 train / 126 valid (same curated set, reused from 8B — NOT re-tokenized)
+    training: { lr: 1e-6, rank: 16, iters: 800 }
+    eval: "Val NaN iter 100, train NaN iter 160. Dead."
+    notes: "Data was pre-truncated for Llama3 tokenizer, not Qwen3. Must re-run clean_data.py with 14B tokenizer before v1.1."

bin/pipeline-freshness.sh

@@ -0,0 +1,42 @@
+#!/usr/bin/env bash
+
+set -euo pipefail
+
+SESSIONS_DIR="$HOME/.hermes/sessions"
+EXPORT_DIR="$HOME/.timmy/training-data/dpo-pairs"
+
+latest_session=$(find "$SESSIONS_DIR" -maxdepth 1 -name 'session_*.json' -type f -print 2>/dev/null | sort | tail -n 1)
+latest_export=$(find "$EXPORT_DIR" -maxdepth 1 -name 'session_*.json' -type f -print 2>/dev/null | sort | tail -n 1)
+
+echo "latest_session=${latest_session:-none}"
+echo "latest_export=${latest_export:-none}"
+
+if [ -z "${latest_session:-}" ]; then
+  echo "status=ok"
+  echo "reason=no sessions yet"
+  exit 0
+fi
+
+if [ -z "${latest_export:-}" ]; then
+  echo "status=lagging"
+  echo "reason=no exports yet"
+  exit 1
+fi
+
+session_mtime=$(stat -f '%m' "$latest_session")
+export_mtime=$(stat -f '%m' "$latest_export")
+lag_minutes=$(( (session_mtime - export_mtime) / 60 ))
+if [ "$lag_minutes" -lt 0 ]; then
+  lag_minutes=0
+fi
+
+echo "lag_minutes=$lag_minutes"
+
+if [ "$lag_minutes" -gt 300 ]; then
+  echo "status=lagging"
+  echo "reason=exports more than 5 hours behind sessions"
+  exit 1
+fi
+
+echo "status=ok"
+echo "reason=exports within freshness window"

bin/sync-up.sh

@@ -1,7 +1,7 @@
 #!/usr/bin/env bash
 # sync-up.sh — Push live ~/.hermes config changes UP to timmy-config repo.
 # The harness is the source. The repo is the record.
-# Run periodically or after significant config changes.
+# Only commits when there are REAL changes (not empty syncs).
 
 set -euo pipefail
 
@@ -12,31 +12,29 @@ log() { echo "[sync-up] $*"; }
 
 # === Copy live config into repo ===
 cp "$HERMES_HOME/config.yaml" "$REPO_DIR/config.yaml"
-log "config.yaml"
 
-# === Playbooks ===
 for f in "$HERMES_HOME"/playbooks/*.yaml; do
   [ -f "$f" ] && cp "$f" "$REPO_DIR/playbooks/"
 done
-log "playbooks/"
 
-# === Skins ===
 for f in "$HERMES_HOME"/skins/*; do
   [ -f "$f" ] && cp "$f" "$REPO_DIR/skins/"
 done
-log "skins/"
 
-# === Channel directory ===
 [ -f "$HERMES_HOME/channel_directory.json" ] && cp "$HERMES_HOME/channel_directory.json" "$REPO_DIR/"
-log "channel_directory.json"
 
-# === Commit and push if there are changes ===
+# === Only commit if there are real diffs ===
 cd "$REPO_DIR"
-if [ -n "$(git status --porcelain)" ]; then
-  git add -A
-  git commit -m "sync: live config from ~/.hermes $(date +%Y-%m-%d_%H:%M)"
-  git push
-  log "Pushed changes to Gitea."
-else
+git add -A
+
+# Check if there are staged changes
+if git diff --cached --quiet; then
   log "No changes to sync."
+  exit 0
 fi
+
+# Build a meaningful commit message from what actually changed
+CHANGED=$(git diff --cached --name-only | tr '\n' ', ' | sed 's/,$//')
+git commit -m "config: update ${CHANGED}"
+git push
+log "Pushed: ${CHANGED}"

bin/timmy-dashboard

@@ -0,0 +1,252 @@
+#!/usr/bin/env python3
+"""Timmy Model Dashboard — where are my models, what are they doing.
+
+Usage:
+    timmy-dashboard              # one-shot
+    timmy-dashboard --watch      # live refresh every 30s
+    timmy-dashboard --hours=48   # look back 48h
+"""
+
+import json
+import os
+import subprocess
+import sys
+import time
+import urllib.request
+from datetime import datetime, timezone, timedelta
+from pathlib import Path
+
+HERMES_HOME = Path.home() / ".hermes"
+TIMMY_HOME = Path.home() / ".timmy"
+METRICS_DIR = TIMMY_HOME / "metrics"
+
+# ── Data Sources ──────────────────────────────────────────────────────
+
+def get_ollama_models():
+    try:
+        req = urllib.request.Request("http://localhost:11434/api/tags")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            return json.loads(resp.read()).get("models", [])
+    except Exception:
+        return []
+
+
+def get_loaded_models():
+    try:
+        req = urllib.request.Request("http://localhost:11434/api/ps")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            return json.loads(resp.read()).get("models", [])
+    except Exception:
+        return []
+
+
+def get_huey_pid():
+    try:
+        r = subprocess.run(["pgrep", "-f", "huey_consumer"],
+                          capture_output=True, text=True, timeout=5)
+        return r.stdout.strip().split("\n")[0] if r.returncode == 0 else None
+    except Exception:
+        return None
+
+
+def get_hermes_sessions():
+    sessions_file = HERMES_HOME / "sessions" / "sessions.json"
+    if not sessions_file.exists():
+        return []
+    try:
+        data = json.loads(sessions_file.read_text())
+        return list(data.values())
+    except Exception:
+        return []
+
+
+def get_heartbeat_ticks(date_str=None):
+    if not date_str:
+        date_str = datetime.now().strftime("%Y%m%d")
+    tick_file = TIMMY_HOME / "heartbeat" / f"ticks_{date_str}.jsonl"
+    if not tick_file.exists():
+        return []
+    ticks = []
+    for line in tick_file.read_text().strip().split("\n"):
+        if not line.strip():
+            continue
+        try:
+            ticks.append(json.loads(line))
+        except Exception:
+            continue
+    return ticks
+
+
+def get_local_metrics(hours=24):
+    """Read local inference metrics from jsonl files."""
+    records = []
+    cutoff = datetime.now(timezone.utc) - timedelta(hours=hours)
+    if not METRICS_DIR.exists():
+        return records
+    for f in sorted(METRICS_DIR.glob("local_*.jsonl")):
+        for line in f.read_text().strip().split("\n"):
+            if not line.strip():
+                continue
+            try:
+                r = json.loads(line)
+                ts = datetime.fromisoformat(r["timestamp"])
+                if ts >= cutoff:
+                    records.append(r)
+            except Exception:
+                continue
+    return records
+
+
+def get_cron_jobs():
+    """Get Hermes cron job status."""
+    try:
+        r = subprocess.run(
+            ["hermes", "cron", "list", "--json"],
+            capture_output=True, text=True, timeout=10
+        )
+        if r.returncode == 0:
+            return json.loads(r.stdout).get("jobs", [])
+    except Exception:
+        pass
+    return []
+
+
+# ── Rendering ─────────────────────────────────────────────────────────
+
+DIM = "\033[2m"
+BOLD = "\033[1m"
+GREEN = "\033[32m"
+YELLOW = "\033[33m"
+RED = "\033[31m"
+CYAN = "\033[36m"
+RST = "\033[0m"
+CLR = "\033[2J\033[H"
+
+
+def render(hours=24):
+    models = get_ollama_models()
+    loaded = get_loaded_models()
+    huey_pid = get_huey_pid()
+    ticks = get_heartbeat_ticks()
+    metrics = get_local_metrics(hours)
+    sessions = get_hermes_sessions()
+
+    loaded_names = {m.get("name", "") for m in loaded}
+    now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    print(CLR, end="")
+    print(f"{BOLD}{'=' * 70}")
+    print(f"  TIMMY MODEL DASHBOARD")
+    print(f"  {now}  |  Huey: {GREEN}PID {huey_pid}{RST if huey_pid else f'{RED}DOWN{RST}'}")
+    print(f"{'=' * 70}{RST}")
+
+    # ── LOCAL MODELS ──
+    print(f"\n  {BOLD}LOCAL MODELS (Ollama){RST}")
+    print(f"  {DIM}{'-' * 55}{RST}")
+    if models:
+        for m in models:
+            name = m.get("name", "?")
+            size_gb = m.get("size", 0) / 1e9
+            if name in loaded_names:
+                status = f"{GREEN}IN VRAM{RST}"
+            else:
+                status = f"{DIM}on disk{RST}"
+            print(f"    {name:35s} {size_gb:5.1f}GB  {status}")
+    else:
+        print(f"    {RED}(Ollama not responding){RST}")
+
+    # ── LOCAL INFERENCE ACTIVITY ──
+    print(f"\n  {BOLD}LOCAL INFERENCE ({len(metrics)} calls, last {hours}h){RST}")
+    print(f"  {DIM}{'-' * 55}{RST}")
+    if metrics:
+        by_caller = {}
+        for r in metrics:
+            caller = r.get("caller", "unknown")
+            if caller not in by_caller:
+                by_caller[caller] = {"count": 0, "success": 0, "errors": 0}
+            by_caller[caller]["count"] += 1
+            if r.get("success"):
+                by_caller[caller]["success"] += 1
+            else:
+                by_caller[caller]["errors"] += 1
+        for caller, stats in by_caller.items():
+            err = f"  {RED}err:{stats['errors']}{RST}" if stats["errors"] else ""
+            print(f"    {caller:25s}  calls:{stats['count']:4d}  "
+                  f"{GREEN}ok:{stats['success']}{RST}{err}")
+
+        by_model = {}
+        for r in metrics:
+            model = r.get("model", "unknown")
+            by_model[model] = by_model.get(model, 0) + 1
+        print(f"\n    {DIM}Models used:{RST}")
+        for model, count in sorted(by_model.items(), key=lambda x: -x[1]):
+            print(f"      {model:30s}  {count} calls")
+    else:
+        print(f"    {DIM}(no local calls recorded yet){RST}")
+
+    # ── HEARTBEAT STATUS ──
+    print(f"\n  {BOLD}HEARTBEAT ({len(ticks)} ticks today){RST}")
+    print(f"  {DIM}{'-' * 55}{RST}")
+    if ticks:
+        last = ticks[-1]
+        decision = last.get("decision", last.get("actions", {}))
+        if isinstance(decision, dict):
+            severity = decision.get("severity", "unknown")
+            reasoning = decision.get("reasoning", "")
+            sev_color = GREEN if severity == "ok" else YELLOW if severity == "warning" else RED
+            print(f"    Last tick:  {last.get('tick_id', '?')}")
+            print(f"    Severity:   {sev_color}{severity}{RST}")
+            if reasoning:
+                print(f"    Reasoning:  {reasoning[:65]}")
+        else:
+            print(f"    Last tick:  {last.get('tick_id', '?')}")
+            actions = last.get("actions", [])
+            print(f"    Actions:    {actions if actions else 'none'}")
+
+        model_decisions = sum(1 for t in ticks
+                            if isinstance(t.get("decision"), dict)
+                            and t["decision"].get("severity") != "fallback")
+        fallback = len(ticks) - model_decisions
+        print(f"    {CYAN}Model: {model_decisions}{RST}  |  {DIM}Fallback: {fallback}{RST}")
+    else:
+        print(f"    {DIM}(no ticks today){RST}")
+
+    # ── HERMES SESSIONS ──
+    local_sessions = [s for s in sessions
+                     if "localhost:11434" in str(s.get("base_url", ""))]
+    cloud_sessions = [s for s in sessions if s not in local_sessions]
+    print(f"\n  {BOLD}HERMES SESSIONS{RST}")
+    print(f"  {DIM}{'-' * 55}{RST}")
+    print(f"    Total: {len(sessions)}  |  "
+          f"{GREEN}Local: {len(local_sessions)}{RST}  |  "
+          f"{YELLOW}Cloud: {len(cloud_sessions)}{RST}")
+
+    # ── ACTIVE LOOPS ──
+    print(f"\n  {BOLD}ACTIVE LOOPS{RST}")
+    print(f"  {DIM}{'-' * 55}{RST}")
+    print(f"    {CYAN}heartbeat_tick{RST}    10m    hermes4:14b    DECIDE phase")
+    print(f"    {DIM}model_health{RST}      5m     (local check)  Ollama ping")
+    print(f"    {DIM}gemini_worker{RST}     20m    gemini-2.5-pro aider")
+    print(f"    {DIM}grok_worker{RST}       20m    grok-3-fast    opencode")
+    print(f"    {DIM}cross_review{RST}      30m    gemini+grok    PR review")
+
+    print(f"\n{BOLD}{'=' * 70}{RST}")
+    print(f"  {DIM}Refresh: timmy-dashboard --watch | History: --hours=N{RST}")
+
+
+if __name__ == "__main__":
+    watch = "--watch" in sys.argv
+    hours = 24
+    for a in sys.argv[1:]:
+        if a.startswith("--hours="):
+            hours = int(a.split("=")[1])
+
+    if watch:
+        try:
+            while True:
+                render(hours)
+                time.sleep(30)
+        except KeyboardInterrupt:
+            print(f"\n{DIM}Dashboard stopped.{RST}")
+    else:
+        render(hours)

channel_directory.json

@@ -1,5 +1,5 @@
 {
-  "updated_at": "2026-03-26T06:59:37.300889",
+  "updated_at": "2026-03-27T21:56:42.192325",
   "platforms": {
     "discord": [
       {

config.yaml

@@ -1,16 +1,19 @@
 model:
-  default: claude-opus-4-6
-  provider: anthropic
+  default: gpt-5.4
+  provider: openai-codex
+  context_length: 65536
+  base_url: https://chatgpt.com/backend-api/codex
 toolsets:
 - all
 agent:
   max_turns: 30
-  reasoning_effort: medium
+  reasoning_effort: xhigh
   verbose: false
 terminal:
   backend: local
   cwd: .
   timeout: 180
+  env_passthrough: []
   docker_image: nikolaik/python-nodejs:python3.11-nodejs20
   docker_forward_env: []
   singularity_image: docker://nikolaik/python-nodejs:python3.11-nodejs20
@@ -25,6 +28,7 @@ terminal:
   persistent_shell: true
 browser:
   inactivity_timeout: 120
+  command_timeout: 30
   record_sessions: false
 checkpoints:
   enabled: true
@@ -32,6 +36,8 @@ checkpoints:
 compression:
   enabled: false
   threshold: 0.5
+  target_ratio: 0.2
+  protect_last_n: 20
   summary_model: ''
   summary_provider: ''
   summary_base_url: ''
@@ -90,11 +96,13 @@ display:
   compact: false
   personality: ''
   resume_display: full
+  busy_input_mode: interrupt
   bell_on_complete: false
   show_reasoning: false
   streaming: false
   show_cost: false
   skin: timmy
+  tool_progress_command: false
   tool_progress: all
 privacy:
   redact_pii: false
@@ -142,6 +150,7 @@ delegation:
   provider: ''
   base_url: ''
   api_key: ''
+  max_iterations: 50
 prefill_messages_file: ''
 honcho: {}
 timezone: ''
@@ -176,17 +185,17 @@ session_reset:
   mode: none
   idle_minutes: 0
 custom_providers:
-- name: Local Ollama
-  base_url: http://localhost:11434/v1
-  api_key: ollama
-  model: glm-4.7-flash:latest
+- name: Local llama.cpp
+  base_url: http://localhost:8081/v1
+  api_key: none
+  model: auto
 - name: Google Gemini
   base_url: https://generativelanguage.googleapis.com/v1beta/openai
   api_key_env: GEMINI_API_KEY
   model: gemini-2.5-pro
 system_prompt_suffix: "You are Timmy. Your soul is defined in SOUL.md \u2014 read\
-  \ it, live it.\nYou run locally on your owner's machine via Ollama. You never phone\
-  \ home.\nYou speak plainly. You prefer short sentences. Brevity is a kindness.\n\
+  \ it, live it.\nYou run locally on your owner's machine via llama.cpp. You never\
+  \ phone home.\nYou speak plainly. You prefer short sentences. Brevity is a kindness.\n\
   When you don't know something, say so. Refusal over fabrication.\nSovereignty and\
   \ service always.\n"
 skills:
@@ -197,12 +206,12 @@ providers:
     base_url: http://localhost:11434/v1
     model: hermes3:latest
 mcp_servers:
-  orchestration:
-    command: /Users/apayne/.hermes/hermes-agent/venv/bin/python3
+  morrowind:
+    command: python3
     args:
-    - /Users/apayne/.hermes/hermes-agent/tools/orchestration_mcp_server.py
+    - /Users/apayne/.timmy/morrowind/mcp_server.py
     env: {}
-    timeout: 120
+    timeout: 30
 fallback_model:
   provider: custom
   model: gemini-2.5-pro

deploy.sh

@@ -3,7 +3,7 @@
 # This is the canonical way to deploy Timmy's configuration.
 # Hermes-agent is the engine. timmy-config is the driver's seat.
 #
-# Usage: ./deploy.sh [--restart-loops]
+# Usage: ./deploy.sh
 
 set -euo pipefail
 
@@ -74,24 +74,10 @@ done
 chmod +x "$HERMES_HOME/bin/"*.sh "$HERMES_HOME/bin/"*.py 2>/dev/null || true
 log "bin/ -> $HERMES_HOME/bin/"
 
-# === Restart loops if requested ===
-if [ "${1:-}" = "--restart-loops" ]; then
-  log "Killing existing loops..."
-  pkill -f 'claude-loop.sh' 2>/dev/null || true
-  pkill -f 'gemini-loop.sh' 2>/dev/null || true
-  pkill -f 'timmy-orchestrator.sh' 2>/dev/null || true
-  sleep 2
-
-  log "Clearing stale locks..."
-  rm -rf "$HERMES_HOME/logs/claude-locks/"* 2>/dev/null || true
-  rm -rf "$HERMES_HOME/logs/gemini-locks/"* 2>/dev/null || true
-
-  log "Relaunching loops..."
-  nohup bash "$HERMES_HOME/bin/timmy-orchestrator.sh" >> "$HERMES_HOME/logs/timmy-orchestrator.log" 2>&1 &
-  nohup bash "$HERMES_HOME/bin/claude-loop.sh" 2 >> "$HERMES_HOME/logs/claude-loop.log" 2>&1 &
-  nohup bash "$HERMES_HOME/bin/gemini-loop.sh" 1 >> "$HERMES_HOME/logs/gemini-loop.log" 2>&1 &
-  sleep 1
-  log "Loops relaunched."
+if [ "${1:-}" != "" ]; then
+  echo "ERROR: deploy.sh no longer accepts legacy loop flags." >&2
+  echo "Deploy the sidecar only. Do not relaunch deprecated bash loops." >&2
+  exit 1
 fi
 
 log "Deploy complete. timmy-config applied to $HERMES_HOME/"

docs/local-model-integration-sketch.md

@@ -0,0 +1,438 @@
+# Local Model Integration Sketch v2
+# Hermes4-14B in the Heartbeat Loop — No New Telemetry
+
+## Principle
+
+No new inference layer. Huey tasks call `hermes chat -q` pointed at
+Ollama. Hermes handles sessions, token tracking, cost logging.
+The dashboard reads what Hermes already stores.
+
+---
+
+## Why Not Ollama Directly?
+
+Ollama is fine as a serving backend. The issue isn't Ollama — it's that
+calling Ollama directly with urllib bypasses the harness. The harness
+already tracks sessions, tokens, model/provider, platform. Building a
+second telemetry layer is owning code we don't need.
+
+Ollama as a named provider isn't wired into the --provider flag yet,
+but routing works via env vars:
+
+    HERMES_MODEL="hermes4:14b" \
+    HERMES_PROVIDER="custom" \
+    HERMES_BASE_URL="http://localhost:11434/v1" \
+    hermes chat -q "prompt here" -Q
+
+This creates a tracked session, logs tokens, and returns the response.
+That's our local inference call.
+
+### Alternatives to Ollama for serving:
+- **llama.cpp server** — lighter, no Python, raw HTTP. Good for single
+  model serving. Less convenient for model switching.
+- **vLLM** — best throughput, but needs NVIDIA GPU. Not for M3 Mac.
+- **MLX serving** — native Apple Silicon, but no OpenAI-compat API yet.
+  MLX is for training, not serving (our current policy).
+- **llamafile** — single binary, portable. Good for distribution.
+
+Verdict: Ollama is fine. It's the standard OpenAI-compat local server
+on Mac. The issue was never Ollama — it was bypassing the harness.
+
+---
+
+## 1. The Call Pattern
+
+One function in tasks.py that all Huey tasks use:
+
+```python
+import subprocess
+import json
+
+HERMES_BIN = "hermes"
+LOCAL_ENV = {
+    "HERMES_MODEL": "hermes4:14b",
+    "HERMES_PROVIDER": "custom",
+    "HERMES_BASE_URL": "http://localhost:11434/v1",
+}
+
+def hermes_local(prompt, caller_tag=None, max_retries=2):
+    """Call hermes with local Ollama model. Returns response text.
+    
+    Every call creates a hermes session with full telemetry.
+    caller_tag gets prepended to prompt for searchability.
+    """
+    import os
+    env = os.environ.copy()
+    env.update(LOCAL_ENV)
+    
+    tagged_prompt = prompt
+    if caller_tag:
+        tagged_prompt = f"[{caller_tag}] {prompt}"
+    
+    for attempt in range(max_retries + 1):
+        try:
+            result = subprocess.run(
+                [HERMES_BIN, "chat", "-q", tagged_prompt, "-Q", "-t", "none"],
+                capture_output=True, text=True,
+                timeout=120, env=env,
+            )
+            if result.returncode == 0 and result.stdout.strip():
+                # Strip the session_id line from -Q output
+                lines = result.stdout.strip().split("\n")
+                response_lines = [l for l in lines if not l.startswith("session_id:")]
+                return "\n".join(response_lines).strip()
+        except subprocess.TimeoutExpired:
+            if attempt == max_retries:
+                return None
+            continue
+    return None
+```
+
+Notes:
+- `-t none` disables all toolsets — the heartbeat model shouldn't
+  have terminal/file access. Pure reasoning only.
+- `-Q` quiet mode suppresses banner/spinner, gives clean output.
+- Every call creates a session in Hermes session store. Searchable,
+  exportable, countable.
+- The `[caller_tag]` prefix lets you filter sessions by which Huey
+  task generated them: `hermes sessions list | grep heartbeat`
+
+---
+
+## 2. Heartbeat DECIDE Phase
+
+Replace the hardcoded if/else with a model call:
+
+```python
+# In heartbeat_tick(), replace the DECIDE + ACT section:
+
+    # DECIDE: let hermes4:14b reason about what to do
+    decide_prompt = f"""System state at {now.isoformat()}:
+
+{json.dumps(perception, indent=2)}
+
+Previous tick: {last_tick.get('tick_id', 'none')}
+
+You are the heartbeat monitor. Based on this state:
+1. List any actions needed (alerts, restarts, escalations). Empty if all OK.
+2. Rate severity: ok, warning, or critical.
+3. One sentence of reasoning.
+
+Respond ONLY with JSON:
+{{"actions": [], "severity": "ok", "reasoning": "..."}}"""
+
+    decision = None
+    try:
+        raw = hermes_local(decide_prompt, caller_tag="heartbeat_tick")
+        if raw:
+            # Try to parse JSON from the response
+            # Model might wrap it in markdown, so extract
+            for line in raw.split("\n"):
+                line = line.strip()
+                if line.startswith("{"):
+                    decision = json.loads(line)
+                    break
+            if not decision:
+                decision = json.loads(raw)
+    except (json.JSONDecodeError, Exception) as e:
+        decision = None
+
+    # Fallback to hardcoded logic if model fails or is down
+    if decision is None:
+        actions = []
+        if not perception.get("gitea_alive"):
+            actions.append("ALERT: Gitea unreachable")
+        health = perception.get("model_health", {})
+        if isinstance(health, dict) and not health.get("ollama_running"):
+            actions.append("ALERT: Ollama not running")
+        decision = {
+            "actions": actions,
+            "severity": "fallback",
+            "reasoning": "model unavailable, used hardcoded checks"
+        }
+
+    tick_record["decision"] = decision
+    actions = decision.get("actions", [])
+```
+
+---
+
+## 3. DPO Candidate Collection
+
+No new database. Hermes sessions ARE the DPO candidates.
+
+Every `hermes_local()` call creates a session. To extract DPO pairs:
+
+```bash
+# Export all local-model sessions
+hermes sessions export --output /tmp/local-sessions.jsonl
+
+# Filter for heartbeat decisions
+grep "heartbeat_tick" /tmp/local-sessions.jsonl > heartbeat_decisions.jsonl
+```
+
+The existing `session_export` Huey task (runs every 4h) already extracts
+user→assistant pairs. It just needs to be aware that some sessions are
+now local-model decisions instead of human conversations.
+
+For DPO annotation, add a simple review script:
+
+```python
+# review_decisions.py — reads heartbeat tick logs, shows model decisions,
+# asks Alexander to mark chosen/rejected
+# Writes annotations back to the tick log files
+
+import json
+from pathlib import Path
+
+TICK_DIR = Path.home() / ".timmy" / "heartbeat"
+
+for log_file in sorted(TICK_DIR.glob("ticks_*.jsonl")):
+    for line in log_file.read_text().strip().split("\n"):
+        tick = json.loads(line)
+        decision = tick.get("decision", {})
+        if decision.get("severity") == "fallback":
+            continue  # skip fallback entries
+        
+        print(f"\n--- Tick {tick['tick_id']} ---")
+        print(f"Perception: {json.dumps(tick['perception'], indent=2)}")
+        print(f"Decision:   {json.dumps(decision, indent=2)}")
+        
+        rating = input("Rate (c=chosen, r=rejected, s=skip): ").strip()
+        if rating in ("c", "r"):
+            tick["dpo_label"] = "chosen" if rating == "c" else "rejected"
+            # write back... (append to annotated file)
+```
+
+---
+
+## 4. Dashboard — Reads Hermes Data
+
+```python
+#!/usr/bin/env python3
+"""Timmy Model Dashboard — reads from Hermes, owns nothing."""
+
+import json
+import os
+import subprocess
+import sys
+import time
+import urllib.request
+from datetime import datetime
+from pathlib import Path
+
+HERMES_HOME = Path.home() / ".hermes"
+TIMMY_HOME = Path.home() / ".timmy"
+
+
+def get_ollama_models():
+    """What's available in Ollama."""
+    try:
+        req = urllib.request.Request("http://localhost:11434/api/tags")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            return json.loads(resp.read()).get("models", [])
+    except Exception:
+        return []
+
+
+def get_loaded_models():
+    """What's actually in VRAM right now."""
+    try:
+        req = urllib.request.Request("http://localhost:11434/api/ps")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            return json.loads(resp.read()).get("models", [])
+    except Exception:
+        return []
+
+
+def get_huey_status():
+    try:
+        r = subprocess.run(["pgrep", "-f", "huey_consumer"],
+                          capture_output=True, timeout=5)
+        return r.returncode == 0
+    except Exception:
+        return False
+
+
+def get_hermes_sessions(hours=24):
+    """Read session metadata from Hermes session store."""
+    sessions_file = HERMES_HOME / "sessions" / "sessions.json"
+    if not sessions_file.exists():
+        return []
+    try:
+        data = json.loads(sessions_file.read_text())
+        return list(data.values())
+    except Exception:
+        return []
+
+
+def get_heartbeat_ticks(date_str=None):
+    """Read today's heartbeat ticks."""
+    if not date_str:
+        date_str = datetime.now().strftime("%Y%m%d")
+    tick_file = TIMMY_HOME / "heartbeat" / f"ticks_{date_str}.jsonl"
+    if not tick_file.exists():
+        return []
+    ticks = []
+    for line in tick_file.read_text().strip().split("\n"):
+        try:
+            ticks.append(json.loads(line))
+        except Exception:
+            continue
+    return ticks
+
+
+def render(hours=24):
+    models = get_ollama_models()
+    loaded = get_loaded_models()
+    huey = get_huey_status()
+    sessions = get_hermes_sessions(hours)
+    ticks = get_heartbeat_ticks()
+
+    loaded_names = {m.get("name", "") for m in loaded}
+
+    print("\033[2J\033[H")
+    print("=" * 70)
+    print("  TIMMY MODEL DASHBOARD")
+    now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    print(f"  {now}  |  Huey: {'UP' if huey else 'DOWN'}  |  Ollama models: {len(models)}")
+    print("=" * 70)
+
+    # DEPLOYMENTS
+    print("\n  LOCAL MODELS")
+    print("  " + "-" * 55)
+    for m in models:
+        name = m.get("name", "?")
+        size_gb = m.get("size", 0) / 1e9
+        status = "IN VRAM" if name in loaded_names else "on disk"
+        print(f"    {name:35s} {size_gb:5.1f}GB  {status}")
+    if not models:
+        print("    (Ollama not responding)")
+
+    # HERMES SESSION ACTIVITY
+    # Count sessions by platform/provider
+    print(f"\n  HERMES SESSIONS (recent)")
+    print("  " + "-" * 55)
+    local_sessions = [s for s in sessions
+                     if "localhost" in str(s.get("origin", {}))]
+    cli_sessions = [s for s in sessions
+                   if s.get("platform") == "cli" or s.get("origin", {}).get("platform") == "cli"]
+
+    total_tokens = sum(s.get("total_tokens", 0) for s in sessions)
+    print(f"    Total sessions: {len(sessions)}")
+    print(f"    CLI sessions: {len(cli_sessions)}")
+    print(f"    Total tokens: {total_tokens:,}")
+
+    # HEARTBEAT STATUS
+    print(f"\n  HEARTBEAT ({len(ticks)} ticks today)")
+    print("  " + "-" * 55)
+    if ticks:
+        last = ticks[-1]
+        decision = last.get("decision", {})
+        severity = decision.get("severity", "unknown")
+        reasoning = decision.get("reasoning", "no model decision yet")
+        print(f"    Last tick: {last.get('tick_id', '?')}")
+        print(f"    Severity:  {severity}")
+        print(f"    Reasoning: {reasoning[:60]}")
+
+        # Count model vs fallback decisions
+        model_decisions = sum(1 for t in ticks
+                            if t.get("decision", {}).get("severity") != "fallback")
+        fallback = len(ticks) - model_decisions
+        print(f"    Model decisions: {model_decisions}  |  Fallback: {fallback}")
+
+        # DPO labels if any
+        labeled = sum(1 for t in ticks if "dpo_label" in t)
+        if labeled:
+            chosen = sum(1 for t in ticks if t.get("dpo_label") == "chosen")
+            rejected = sum(1 for t in ticks if t.get("dpo_label") == "rejected")
+            print(f"    DPO labeled: {labeled} (chosen: {chosen}, rejected: {rejected})")
+    else:
+        print("    (no ticks today)")
+
+    # ACTIVE LOOPS
+    print(f"\n  ACTIVE LOOPS USING LOCAL MODELS")
+    print("  " + "-" * 55)
+    print("    heartbeat_tick    10m    hermes4:14b    DECIDE phase")
+    print("    (future)          15m    hermes4:14b    issue triage")
+    print("    (future)          daily  timmy:v0.1     morning report")
+
+    print(f"\n  NON-LOCAL LOOPS (Gemini/Grok API)")
+    print("  " + "-" * 55)
+    print("    gemini_worker     20m    gemini-2.5-pro   aider")
+    print("    grok_worker       20m    grok-3-fast      opencode")
+    print("    cross_review      30m    both             PR review")
+
+    print("\n" + "=" * 70)
+
+
+if __name__ == "__main__":
+    watch = "--watch" in sys.argv
+    hours = 24
+    for a in sys.argv[1:]:
+        if a.startswith("--hours="):
+            hours = int(a.split("=")[1])
+    if watch:
+        while True:
+            render(hours)
+            time.sleep(30)
+    else:
+        render(hours)
+```
+
+---
+
+## 5. Implementation Steps
+
+### Step 1: Add hermes_local() to tasks.py
+- One function, ~20 lines
+- Calls `hermes chat -q` with Ollama env vars
+- All telemetry comes from Hermes for free
+
+### Step 2: Wire heartbeat_tick DECIDE phase
+- Replace 6 lines of if/else with hermes_local() call
+- Keep hardcoded fallback when model is down
+- Decision stored in tick record for DPO review
+
+### Step 3: Fix the MCP server warning
+- The orchestration MCP server path is broken — harmless but noisy
+- Either fix the path or remove from config
+
+### Step 4: Drop model_dashboard.py in timmy-config/bin/
+- Reads Ollama API, Hermes sessions, heartbeat ticks
+- No new data stores — just views over existing ones
+- `python3 model_dashboard.py --watch` for live view
+
+### Step 5: Expand to more Huey tasks
+- triage_issues: model reads issue, picks agent
+- good_morning_report: model writes the "From Timmy" section
+- Each expansion is just calling hermes_local() with a different prompt
+
+---
+
+## What Gets Hotfixed in Hermes Config
+
+If `hermes insights` is broken (the cache_read_tokens column error),
+that needs a fix. The dashboard falls back to reading sessions.json
+directly, but insights would be the better data source.
+
+The `providers.ollama` section in config.yaml exists but isn't wired
+to the --provider flag. Filing this upstream or patching locally would
+let us do `hermes chat -q "..." --provider ollama` cleanly instead
+of relying on env vars. Not blocking — env vars work today.
+
+---
+
+## What This Owns
+
+- hermes_local() — 20-line wrapper around a subprocess call
+- model_dashboard.py — read-only views over existing data
+- review_decisions.py — optional DPO annotation CLI
+
+## What This Does NOT Own
+
+- Inference. Ollama does that.
+- Telemetry. Hermes does that.
+- Session storage. Hermes does that.
+- Token counting. Hermes does that.
+- Training pipeline. Already exists in timmy-config/training/.

gitea_client.py

@@ -0,0 +1,530 @@
+"""
+Gitea API Client — typed, sovereign, zero-dependency.
+
+Replaces raw curl calls scattered across 41 bash scripts.
+Uses only stdlib (urllib) so it works on any Python install.
+
+Usage:
+    from tools.gitea_client import GiteaClient
+    
+    client = GiteaClient()  # reads token from ~/.hermes/gitea_token
+    issues = client.list_issues("Timmy_Foundation/the-nexus", state="open")
+    client.create_comment("Timmy_Foundation/the-nexus", 42, "PR created.")
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import urllib.request
+import urllib.error
+import urllib.parse
+from dataclasses import dataclass, field
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, Optional
+
+
+# ---------------------------------------------------------------------------
+# Configuration
+# ---------------------------------------------------------------------------
+
+def _read_token() -> str:
+    """Read Gitea token from standard locations."""
+    for path in [
+        Path.home() / ".hermes" / "gitea_token",
+        Path.home() / ".hermes" / "gitea_token_vps",
+        Path.home() / ".config" / "gitea" / "token",
+    ]:
+        if path.exists():
+            return path.read_text().strip()
+    raise FileNotFoundError(
+        "No Gitea token found. Checked: ~/.hermes/gitea_token, "
+        "~/.hermes/gitea_token_vps, ~/.config/gitea/token"
+    )
+
+
+def _read_base_url() -> str:
+    """Read Gitea base URL. Defaults to the VPS."""
+    env = os.environ.get("GITEA_URL")
+    if env:
+        return env.rstrip("/")
+    return "http://143.198.27.163:3000"
+
+
+# ---------------------------------------------------------------------------
+# Data classes — typed responses
+# ---------------------------------------------------------------------------
+
+@dataclass
+class User:
+    id: int
+    login: str
+    full_name: str = ""
+    email: str = ""
+
+    @classmethod
+    def from_dict(cls, d: dict) -> "User":
+        return cls(
+            id=d.get("id", 0),
+            login=d.get("login", ""),
+            full_name=d.get("full_name", ""),
+            email=d.get("email", ""),
+        )
+
+
+@dataclass
+class Label:
+    id: int
+    name: str
+    color: str = ""
+
+    @classmethod
+    def from_dict(cls, d: dict) -> "Label":
+        return cls(id=d.get("id", 0), name=d.get("name", ""), color=d.get("color", ""))
+
+
+@dataclass
+class Issue:
+    number: int
+    title: str
+    body: str
+    state: str
+    user: User
+    assignees: list[User] = field(default_factory=list)
+    labels: list[Label] = field(default_factory=list)
+    created_at: str = ""
+    updated_at: str = ""
+    comments: int = 0
+
+    @classmethod
+    def from_dict(cls, d: dict) -> "Issue":
+        return cls(
+            number=d.get("number", 0),
+            title=d.get("title", ""),
+            body=d.get("body", "") or "",
+            state=d.get("state", ""),
+            user=User.from_dict(d.get("user", {})),
+            assignees=[User.from_dict(a) for a in d.get("assignees", []) or []],
+            labels=[Label.from_dict(lb) for lb in d.get("labels", []) or []],
+            created_at=d.get("created_at", ""),
+            updated_at=d.get("updated_at", ""),
+            comments=d.get("comments", 0),
+        )
+
+
+@dataclass
+class Comment:
+    id: int
+    body: str
+    user: User
+    created_at: str = ""
+
+    @classmethod
+    def from_dict(cls, d: dict) -> "Comment":
+        return cls(
+            id=d.get("id", 0),
+            body=d.get("body", "") or "",
+            user=User.from_dict(d.get("user", {})),
+            created_at=d.get("created_at", ""),
+        )
+
+
+@dataclass
+class PullRequest:
+    number: int
+    title: str
+    body: str
+    state: str
+    user: User
+    head_branch: str = ""
+    base_branch: str = ""
+    mergeable: bool = False
+    merged: bool = False
+    changed_files: int = 0
+
+    @classmethod
+    def from_dict(cls, d: dict) -> "PullRequest":
+        head = d.get("head", {}) or {}
+        base = d.get("base", {}) or {}
+        return cls(
+            number=d.get("number", 0),
+            title=d.get("title", ""),
+            body=d.get("body", "") or "",
+            state=d.get("state", ""),
+            user=User.from_dict(d.get("user", {})),
+            head_branch=head.get("ref", ""),
+            base_branch=base.get("ref", ""),
+            mergeable=d.get("mergeable", False),
+            merged=d.get("merged", False) or False,
+            changed_files=d.get("changed_files", 0),
+        )
+
+
+@dataclass
+class PRFile:
+    filename: str
+    status: str  # added, modified, deleted
+    additions: int = 0
+    deletions: int = 0
+
+    @classmethod
+    def from_dict(cls, d: dict) -> "PRFile":
+        return cls(
+            filename=d.get("filename", ""),
+            status=d.get("status", ""),
+            additions=d.get("additions", 0),
+            deletions=d.get("deletions", 0),
+        )
+
+
+# ---------------------------------------------------------------------------
+# Client
+# ---------------------------------------------------------------------------
+
+class GiteaError(Exception):
+    """Gitea API error with status code."""
+    def __init__(self, status: int, message: str, url: str = ""):
+        self.status = status
+        self.url = url
+        super().__init__(f"Gitea {status}: {message} [{url}]")
+
+
+class GiteaClient:
+    """
+    Typed Gitea API client. Sovereign, zero-dependency.
+    
+    Covers all operations the agent loops need:
+    - Issues: list, get, create, update, close, assign, label, comment
+    - PRs: list, get, create, merge, update, close, files
+    - Repos: list org repos
+    """
+
+    def __init__(
+        self,
+        base_url: Optional[str] = None,
+        token: Optional[str] = None,
+    ):
+        self.base_url = base_url or _read_base_url()
+        self.token = token or _read_token()
+        self.api = f"{self.base_url}/api/v1"
+
+    # -- HTTP layer ----------------------------------------------------------
+
+    def _request(
+        self,
+        method: str,
+        path: str,
+        data: Optional[dict] = None,
+        params: Optional[dict] = None,
+    ) -> Any:
+        """Make an authenticated API request. Returns parsed JSON."""
+        url = f"{self.api}{path}"
+        if params:
+            url += "?" + urllib.parse.urlencode(params)
+
+        body = json.dumps(data).encode() if data else None
+        req = urllib.request.Request(url, data=body, method=method)
+        req.add_header("Authorization", f"token {self.token}")
+        req.add_header("Content-Type", "application/json")
+        req.add_header("Accept", "application/json")
+
+        try:
+            with urllib.request.urlopen(req, timeout=30) as resp:
+                raw = resp.read().decode()
+                if not raw:
+                    return {}
+                return json.loads(raw)
+        except urllib.error.HTTPError as e:
+            body_text = ""
+            try:
+                body_text = e.read().decode()
+            except Exception:
+                pass
+            raise GiteaError(e.code, body_text, url) from e
+
+    def _get(self, path: str, **params) -> Any:
+        # Filter out None values
+        clean = {k: v for k, v in params.items() if v is not None}
+        return self._request("GET", path, params=clean)
+
+    def _post(self, path: str, data: dict) -> Any:
+        return self._request("POST", path, data=data)
+
+    def _patch(self, path: str, data: dict) -> Any:
+        return self._request("PATCH", path, data=data)
+
+    def _delete(self, path: str) -> Any:
+        return self._request("DELETE", path)
+
+    def _repo_path(self, repo: str) -> str:
+        """Convert 'owner/name' to '/repos/owner/name'."""
+        return f"/repos/{repo}"
+
+    # -- Health --------------------------------------------------------------
+
+    def ping(self) -> bool:
+        """Check if Gitea is responding."""
+        try:
+            self._get("/version")
+            return True
+        except Exception:
+            return False
+
+    # -- Repos ---------------------------------------------------------------
+
+    def list_org_repos(self, org: str, limit: int = 50) -> list[dict]:
+        """List repos in an organization."""
+        return self._get(f"/orgs/{org}/repos", limit=limit)
+
+    # -- Issues --------------------------------------------------------------
+
+    def list_issues(
+        self,
+        repo: str,
+        state: str = "open",
+        assignee: Optional[str] = None,
+        labels: Optional[str] = None,
+        sort: str = "created",
+        direction: str = "desc",
+        limit: int = 30,
+        page: int = 1,
+    ) -> list[Issue]:
+        """List issues for a repo."""
+        raw = self._get(
+            f"{self._repo_path(repo)}/issues",
+            state=state,
+            type="issues",
+            assignee=assignee,
+            labels=labels,
+            sort=sort,
+            direction=direction,
+            limit=limit,
+            page=page,
+        )
+        return [Issue.from_dict(i) for i in raw]
+
+    def get_issue(self, repo: str, number: int) -> Issue:
+        """Get a single issue."""
+        return Issue.from_dict(
+            self._get(f"{self._repo_path(repo)}/issues/{number}")
+        )
+
+    def create_issue(
+        self,
+        repo: str,
+        title: str,
+        body: str = "",
+        labels: Optional[list[int]] = None,
+        assignees: Optional[list[str]] = None,
+    ) -> Issue:
+        """Create an issue."""
+        data: dict[str, Any] = {"title": title, "body": body}
+        if labels:
+            data["labels"] = labels
+        if assignees:
+            data["assignees"] = assignees
+        return Issue.from_dict(
+            self._post(f"{self._repo_path(repo)}/issues", data)
+        )
+
+    def update_issue(
+        self,
+        repo: str,
+        number: int,
+        title: Optional[str] = None,
+        body: Optional[str] = None,
+        state: Optional[str] = None,
+        assignees: Optional[list[str]] = None,
+    ) -> Issue:
+        """Update an issue (title, body, state, assignees)."""
+        data: dict[str, Any] = {}
+        if title is not None:
+            data["title"] = title
+        if body is not None:
+            data["body"] = body
+        if state is not None:
+            data["state"] = state
+        if assignees is not None:
+            data["assignees"] = assignees
+        return Issue.from_dict(
+            self._patch(f"{self._repo_path(repo)}/issues/{number}", data)
+        )
+
+    def close_issue(self, repo: str, number: int) -> Issue:
+        """Close an issue."""
+        return self.update_issue(repo, number, state="closed")
+
+    def assign_issue(self, repo: str, number: int, assignees: list[str]) -> Issue:
+        """Assign users to an issue."""
+        return self.update_issue(repo, number, assignees=assignees)
+
+    def add_labels(self, repo: str, number: int, label_ids: list[int]) -> list[Label]:
+        """Add labels to an issue."""
+        raw = self._post(
+            f"{self._repo_path(repo)}/issues/{number}/labels",
+            {"labels": label_ids},
+        )
+        return [Label.from_dict(lb) for lb in raw]
+
+    # -- Comments ------------------------------------------------------------
+
+    def list_comments(
+        self, repo: str, number: int, since: Optional[str] = None
+    ) -> list[Comment]:
+        """List comments on an issue."""
+        raw = self._get(
+            f"{self._repo_path(repo)}/issues/{number}/comments",
+            since=since,
+        )
+        return [Comment.from_dict(c) for c in raw]
+
+    def create_comment(self, repo: str, number: int, body: str) -> Comment:
+        """Add a comment to an issue."""
+        return Comment.from_dict(
+            self._post(
+                f"{self._repo_path(repo)}/issues/{number}/comments",
+                {"body": body},
+            )
+        )
+
+    # -- Pull Requests -------------------------------------------------------
+
+    def list_pulls(
+        self,
+        repo: str,
+        state: str = "open",
+        sort: str = "newest",
+        limit: int = 20,
+        page: int = 1,
+    ) -> list[PullRequest]:
+        """List pull requests."""
+        raw = self._get(
+            f"{self._repo_path(repo)}/pulls",
+            state=state,
+            sort=sort,
+            limit=limit,
+            page=page,
+        )
+        return [PullRequest.from_dict(p) for p in raw]
+
+    def get_pull(self, repo: str, number: int) -> PullRequest:
+        """Get a single pull request."""
+        return PullRequest.from_dict(
+            self._get(f"{self._repo_path(repo)}/pulls/{number}")
+        )
+
+    def create_pull(
+        self,
+        repo: str,
+        title: str,
+        head: str,
+        base: str = "main",
+        body: str = "",
+    ) -> PullRequest:
+        """Create a pull request."""
+        return PullRequest.from_dict(
+            self._post(
+                f"{self._repo_path(repo)}/pulls",
+                {"title": title, "head": head, "base": base, "body": body},
+            )
+        )
+
+    def merge_pull(
+        self,
+        repo: str,
+        number: int,
+        method: str = "squash",
+        delete_branch: bool = True,
+    ) -> bool:
+        """Merge a pull request. Returns True on success."""
+        try:
+            self._post(
+                f"{self._repo_path(repo)}/pulls/{number}/merge",
+                {"Do": method, "delete_branch_after_merge": delete_branch},
+            )
+            return True
+        except GiteaError as e:
+            if e.status == 405:  # not mergeable
+                return False
+            raise
+
+    def update_pull_branch(
+        self, repo: str, number: int, style: str = "rebase"
+    ) -> bool:
+        """Update a PR branch (rebase onto base). Returns True on success."""
+        try:
+            self._post(
+                f"{self._repo_path(repo)}/pulls/{number}/update",
+                {"style": style},
+            )
+            return True
+        except GiteaError:
+            return False
+
+    def close_pull(self, repo: str, number: int) -> PullRequest:
+        """Close a pull request without merging."""
+        return PullRequest.from_dict(
+            self._patch(
+                f"{self._repo_path(repo)}/pulls/{number}",
+                {"state": "closed"},
+            )
+        )
+
+    def get_pull_files(self, repo: str, number: int) -> list[PRFile]:
+        """Get files changed in a pull request."""
+        raw = self._get(f"{self._repo_path(repo)}/pulls/{number}/files")
+        return [PRFile.from_dict(f) for f in raw]
+
+    def find_pull_by_branch(
+        self, repo: str, branch: str
+    ) -> Optional[PullRequest]:
+        """Find an open PR for a given head branch."""
+        prs = self.list_pulls(repo, state="open", limit=50)
+        for pr in prs:
+            if pr.head_branch == branch:
+                return pr
+        return None
+
+    # -- Convenience ---------------------------------------------------------
+
+    def get_issue_with_comments(
+        self, repo: str, number: int, last_n: int = 5
+    ) -> tuple[Issue, list[Comment]]:
+        """Get an issue and its most recent comments."""
+        issue = self.get_issue(repo, number)
+        comments = self.list_comments(repo, number)
+        return issue, comments[-last_n:] if len(comments) > last_n else comments
+
+    def find_unassigned_issues(
+        self,
+        repo: str,
+        limit: int = 30,
+        exclude_labels: Optional[list[str]] = None,
+        exclude_title_patterns: Optional[list[str]] = None,
+    ) -> list[Issue]:
+        """Find open issues not assigned to anyone."""
+        issues = self.list_issues(repo, state="open", limit=limit)
+        result = []
+        for issue in issues:
+            if issue.assignees:
+                continue
+            if exclude_labels:
+                issue_label_names = {lb.name for lb in issue.labels}
+                if issue_label_names & set(exclude_labels):
+                    continue
+            if exclude_title_patterns:
+                title_lower = issue.title.lower()
+                if any(p.lower() in title_lower for p in exclude_title_patterns):
+                    continue
+            result.append(issue)
+        return result
+
+    def find_agent_issues(self, repo: str, agent: str, limit: int = 50) -> list[Issue]:
+        """Find open issues assigned to a specific agent."""
+        return self.list_issues(repo, state="open", assignee=agent, limit=limit)
+
+    def find_agent_pulls(self, repo: str, agent: str) -> list[PullRequest]:
+        """Find open PRs created by a specific agent."""
+        prs = self.list_pulls(repo, state="open", limit=50)
+        return [pr for pr in prs if pr.user.login == agent]

training/README.md

@@ -1,8 +1,11 @@
 # Training
 
-LoRA fine-tuning pipeline for Timmy's sovereign model. No custom harness — just config files for existing tools.
+Transitional training recipes for Timmy's sovereign model. These files are
+useful as reference configs and export helpers, but they are not the canonical
+home of Timmy's lived training data.
 
-Replaces the `autolora` repo (1,500 lines of custom code → config + `make`).
+Canonical data should live in `timmy-home` under gameplay trajectories,
+research artifacts, and `training-data/` exports such as DPO pairs.
 
 ## Install
 
@@ -23,6 +26,16 @@ make convert        # Convert merged data to MLX train/valid format
 make help           # Show all targets
 ```
 
+## Status
+
+This directory exists to avoid re-growing a bespoke training harness while the
+system boundary is being cleaned up.
+
+- Keep thin recipes and export helpers here only when they directly support the
+  Hermes sidecar.
+- Keep generated data, DPO pairs, and other lived artifacts in `timmy-home`.
+- Prefer deleting stale pipeline code over expanding it.
+
 ## Files
 
 ```