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4910b74d62 fix: use python3 in training Makefile for portability
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Refs #680, closes #660
2026-04-15 03:17:57 +00:00
3 changed files with 7 additions and 395 deletions

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@@ -1,359 +0,0 @@
#!/usr/bin/env python3
"""
Context Overflow Guard Script
Issue #510: [Robustness] Context overflow automation — auto-summarize and commit
Monitors tmux pane context levels and triggers actions at thresholds:
- 60%: Send summarization + commit prompt
- 80%: URGENT force commit, restart fresh with summary
- Logs context levels to tmux-state.json
Usage:
python3 context-overflow-guard.py # Run once
python3 context-overflow-guard.py --daemon # Run continuously
python3 context-overflow-guard.py --status # Show current context levels
"""
import os, sys, json, subprocess, time, re
from datetime import datetime, timezone
from pathlib import Path
# Configuration
LOG_DIR = Path.home() / ".local" / "timmy" / "fleet-health"
STATE_FILE = LOG_DIR / "tmux-state.json"
LOG_FILE = LOG_DIR / "context-overflow.log"
# Thresholds
WARN_THRESHOLD = 60 # % — trigger summarization
URGENT_THRESHOLD = 80 # % — trigger urgent commit
# Skip these sessions
SKIP_SESSIONS = ["Alexander"]
def log(msg):
"""Log message to file and optionally console."""
timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
log_entry = "[" + timestamp + "] " + msg
LOG_DIR.mkdir(parents=True, exist_ok=True)
with open(LOG_FILE, "a") as f:
f.write(log_entry + "\n")
if "--quiet" not in sys.argv:
print(log_entry)
def run_tmux(cmd):
"""Run tmux command and return output."""
try:
result = subprocess.run(
"tmux " + cmd,
shell=True,
capture_output=True,
text=True,
timeout=10
)
return result.stdout.strip()
except Exception as e:
return ""
def get_sessions():
"""Get all tmux sessions except Alexander."""
output = run_tmux("list-sessions -F '#{session_name}'")
if not output:
return []
sessions = []
for line in output.split("\n"):
session = line.strip()
if session and session not in SKIP_SESSIONS:
sessions.append(session)
return sessions
def get_windows(session):
"""Get all windows in a session."""
output = run_tmux("list-windows -t " + session + " -F '#{window_index}:#{window_name}'")
if not output:
return []
windows = []
for line in output.split("\n"):
if ":" in line:
idx, name = line.split(":", 1)
windows.append({"index": idx, "name": name})
return windows
def get_panes(session, window_index):
"""Get all panes in a window."""
target = session + ":" + window_index
output = run_tmux("list-panes -t " + target + " -F '#{pane_index}'")
if not output:
return []
panes = []
for line in output.split("\n"):
pane = line.strip()
if pane:
panes.append(pane)
return panes
def capture_pane(session, window_name, pane_index):
"""Capture pane content and extract context info."""
target = session + ":" + window_name + "." + pane_index
output = run_tmux("capture-pane -t " + target + " -p 2>&1")
if not output:
return None
# Look for context bar pattern: ⚕ model | used/total | % | time
# Example: ⚕ mimo-v2-pro | 45,230/131,072 | 34% | 12m remaining
context_pattern = r"\s+([^|]+)\|\s*([\d,]+)/([\d,]+)\|\s*(\d+)%\|"
lines = output.split("\n")
for line in lines:
match = re.search(context_pattern, line)
if match:
model = match.group(1).strip()
used_str = match.group(2).replace(",", "")
total_str = match.group(3).replace(",", "")
percent = int(match.group(4))
try:
used = int(used_str)
total = int(total_str)
except:
used = 0
total = 0
return {
"model": model,
"used": used,
"total": total,
"percent": percent,
"raw_line": line.strip()
}
# Alternative pattern: just look for percentage in context-like lines
percent_pattern = r"(\d+)%"
for line in lines:
if "" in line or "remaining" in line.lower() or "context" in line.lower():
match = re.search(percent_pattern, line)
if match:
percent = int(match.group(1))
return {
"model": "unknown",
"used": 0,
"total": 0,
"percent": percent,
"raw_line": line.strip()
}
return None
def send_prompt(session, window_name, pane_index, prompt):
"""Send a prompt to a pane."""
target = session + ":" + window_name + "." + pane_index
# Escape quotes in prompt
escaped_prompt = prompt.replace('"', '\\"')
cmd = 'send-keys -t ' + target + ' "/queue ' + escaped_prompt + '" Enter'
result = run_tmux(cmd)
log("Sent prompt to " + target + ": " + prompt[:50] + "...")
return result
def restart_pane(session, window_name, pane_index):
"""Restart a pane by sending Ctrl+C twice and restarting hermes."""
target = session + ":" + window_name + "." + pane_index
# Send Ctrl+C twice to exit
run_tmux("send-keys -t " + target + " C-c")
time.sleep(0.5)
run_tmux("send-keys -t " + target + " C-c")
time.sleep(1)
# Try to detect profile from process
pid_cmd = "list-panes -t " + target + " -F '#{pane_pid}'"
pid = run_tmux(pid_cmd)
if pid:
# Try to find hermes process with profile
try:
ps_result = subprocess.run(
"ps aux | grep " + pid + " | grep hermes | grep -v grep",
shell=True,
capture_output=True,
text=True,
timeout=5
)
ps_line = ps_result.stdout.strip()
# Look for -p profile flag
profile_match = re.search(r"-p\s+(\S+)", ps_line)
if profile_match:
profile = profile_match.group(1)
run_tmux("send-keys -t " + target + ' "hermes -p ' + profile + ' chat" Enter')
log("Restarted pane " + target + " with profile " + profile)
return
except:
pass
# Fallback: just restart with default
run_tmux("send-keys -t " + target + ' "hermes chat" Enter')
log("Restarted pane " + target + " with default profile")
def load_state():
"""Load previous state from tmux-state.json."""
if STATE_FILE.exists():
try:
with open(STATE_FILE) as f:
return json.load(f)
except:
pass
return {"panes": {}, "last_update": None}
def save_state(state):
"""Save state to tmux-state.json."""
LOG_DIR.mkdir(parents=True, exist_ok=True)
state["last_update"] = datetime.now(timezone.utc).isoformat()
with open(STATE_FILE, "w") as f:
json.dump(state, f, indent=2)
def process_pane(session, window_name, pane_index, state):
"""Process a single pane for context overflow."""
target = session + ":" + window_name + "." + pane_index
# Capture pane
context_info = capture_pane(session, window_name, pane_index)
if not context_info:
return
percent = context_info["percent"]
# Update state
if "panes" not in state:
state["panes"] = {}
state["panes"][target] = {
"context_percent": percent,
"model": context_info["model"],
"used": context_info["used"],
"total": context_info["total"],
"last_check": datetime.now(timezone.utc).isoformat(),
"raw_line": context_info["raw_line"]
}
# Check thresholds
if percent >= URGENT_THRESHOLD:
log("URGENT: " + target + " at " + str(percent) + "% — forcing commit and restart")
# Send urgent commit prompt
urgent_prompt = "URGENT: Context at " + str(percent) + "%. Commit all work NOW, summarize progress, then restart fresh."
send_prompt(session, window_name, pane_index, urgent_prompt)
# Wait a bit for the prompt to be processed
time.sleep(2)
# Restart the pane
restart_pane(session, window_name, pane_index)
elif percent >= WARN_THRESHOLD:
log("WARN: " + target + " at " + str(percent) + "% — sending summarization prompt")
# Send summarization prompt
warn_prompt = "Context filling up (" + str(percent) + "%). Summarize current work, commit everything, and prepare for fresh session."
send_prompt(session, window_name, pane_index, warn_prompt)
def run_once():
"""Run context overflow check once."""
log("=== Context Overflow Check ===")
state = load_state()
sessions = get_sessions()
if not sessions:
log("No tmux sessions found")
return
total_panes = 0
warned_panes = 0
urgent_panes = 0
for session in sessions:
windows = get_windows(session)
for window in windows:
window_name = window["name"]
panes = get_panes(session, window["index"])
for pane_index in panes:
total_panes += 1
process_pane(session, window_name, pane_index, state)
target = session + ":" + window_name + "." + pane_index
if target in state.get("panes", {}):
percent = state["panes"][target].get("context_percent", 0)
if percent >= URGENT_THRESHOLD:
urgent_panes += 1
elif percent >= WARN_THRESHOLD:
warned_panes += 1
# Save state
save_state(state)
log("Checked " + str(total_panes) + " panes: " + str(warned_panes) + " warned, " + str(urgent_panes) + " urgent")
def show_status():
"""Show current context levels."""
state = load_state()
if not state.get("panes"):
print("No context data available. Run without --status first.")
return
print("Context Levels (last updated: " + str(state.get("last_update", "unknown")) + ")")
print("=" * 80)
# Sort by context percentage (highest first)
panes = sorted(state["panes"].items(), key=lambda x: x[1].get("context_percent", 0), reverse=True)
for target, info in panes:
percent = info.get("context_percent", 0)
model = info.get("model", "unknown")
# Color coding
if percent >= URGENT_THRESHOLD:
status = "URGENT"
elif percent >= WARN_THRESHOLD:
status = "WARN"
else:
status = "OK"
print(target.ljust(30) + " " + str(percent).rjust(3) + "% " + status.ljust(7) + " " + model)
def daemon_mode():
"""Run continuously."""
log("Starting context overflow daemon (check every 60s)")
while True:
try:
run_once()
time.sleep(60)
except KeyboardInterrupt:
log("Daemon stopped by user")
break
except Exception as e:
log("Error: " + str(e))
time.sleep(10)
def main():
if "--status" in sys.argv:
show_status()
elif "--daemon" in sys.argv:
daemon_mode()
else:
run_once()
if __name__ == "__main__":
main()

View File

@@ -196,37 +196,7 @@
"paused_reason": null,
"skills": [],
"skill": null
},
{
"id": "tmux-supervisor-513",
"name": "Autonomous Cron Supervisor",
"prompt": "Load the tmux-supervisor skill and execute the monitoring protocol.\n\nCheck both `dev` and `timmy` tmux sessions for idle panes. Only send Telegram notifications on actionable events (idle, overflow, failure). Be silent when all agents are working.\n\nSteps:\n1. List all tmux sessions (skip 'Alexander')\n2. For each session, list windows and panes\n3. Capture each pane and classify state (idle vs active)\n4. For idle panes: read context, craft context-aware prompt\n5. Send /queue prompts to idle panes\n6. Verify prompts landed\n7. Only notify via Telegram if:\n - A pane was prompted (idle detected)\n - A pane shows context overflow (>80%)\n - A pane is stuck or crashed\n8. If all panes are active: respond with [SILENT]",
"schedule": {
"kind": "interval",
"minutes": 7,
"display": "every 7m"
},
"schedule_display": "every 7m",
"repeat": {
"times": null,
"completed": 0
},
"enabled": true,
"created_at": "2026-04-15T03:00:00.000000+00:00",
"next_run_at": null,
"last_run_at": null,
"last_status": null,
"last_error": null,
"deliver": "telegram",
"origin": null,
"state": "scheduled",
"paused_at": null,
"paused_reason": null,
"skills": [
"tmux-supervisor"
],
"skill": "tmux-supervisor"
}
],
"updated_at": "2026-04-13T02:00:00+00:00"
}
}

View File

@@ -15,6 +15,7 @@
MODEL ?= timmy:v0.1-q4
BASELINE ?= hermes3:latest
OLLAMA_URL ?= http://localhost:11434
PYTHON ?= python3
OUTPUT ?= output
# ── Training ──────────────────────────────────────────────────────────
@@ -23,7 +24,7 @@ train-cloud: ## QLoRA fine-tune on cloud GPU (Axolotl)
axolotl train axolotl.yaml
train-local: ## LoRA fine-tune on Apple Silicon (MLX)
python -m mlx_lm.lora --config mlx-lora.yaml
$(PYTHON) -m mlx_lm.lora --config mlx-lora.yaml
# ── Evaluation ────────────────────────────────────────────────────────
@@ -45,7 +46,7 @@ vibes: ## Run vibes check — hand-picked prompts, human review
@echo "Date: $$(date '+%Y-%m-%d %H:%M')" > $(OUTPUT)/vibes-$(MODEL).md
@echo "Model: $(MODEL)" >> $(OUTPUT)/vibes-$(MODEL).md
@echo "" >> $(OUTPUT)/vibes-$(MODEL).md
@python -c "\
@$(PYTHON) -c "\
import yaml, subprocess, sys; \
prompts = yaml.safe_load(open('data/prompts_vibes.yaml'))['prompts']; \
f = open('$(OUTPUT)/vibes-$(MODEL).md', 'a'); \
@@ -69,19 +70,19 @@ vibes: ## Run vibes check — hand-picked prompts, human review
# ── Data Pipeline ─────────────────────────────────────────────────────
ingest: ## Pull heartbeat trajectories into training data
python ingest_trajectories.py \
$(PYTHON) ingest_trajectories.py \
--trajectories ~/.nexus/trajectories/ \
--curated data/curated_dataset.jsonl \
--output data/merged_training_data.jsonl
@echo "Merged dataset ready. Convert for MLX with: make convert"
curated: ## Regenerate curated exemplar dataset
python build_curated.py
$(PYTHON) build_curated.py
@echo "Curated dataset regenerated."
convert: ## Convert merged dataset to MLX format (train/valid split)
@mkdir -p data/mlx_curated
python -c "\
$(PYTHON) -c "\
import json; \
lines = open('data/merged_training_data.jsonl').readlines(); \
sessions = [json.loads(l) for l in lines]; \