[claude] The Testbed Observatory — Health Monitoring & Alerting (#147) #159

claude · 2026-04-07T01:59:44Z

claude commented

2026-04-07 01:59:44 +00:00

Fixes #147

What this adds

observatory.py — a standalone monitoring script and daemon for the Hermes Agent testbed.

Health checks (all run every poll cycle)

Gateway liveness — reads the PID file and verifies the process is alive
API server HTTP — probes http://localhost:8642/health for 200 + latency
Webhook HTTP — probes the configured webhook endpoint for responsiveness
Disk — warn at 80%, critical at 90% of HERMES_HOME filesystem
Memory — warn at 80%, critical at 90% of system RAM
CPU — warn at 80%, critical at 95% (1-second sample)
Observatory DB — SQLite connectivity and size check
Response store DB — checks API server response store if present

Alerting

Fires Telegram alerts within one poll cycle (default 60s) of any check degrading to critical/error
Sends recovery messages when a check returns to ok
Deduplicates — no alert spam for sustained failures
Configured via TELEGRAM_BOT_TOKEN + OBSERVATORY_ALERT_CHAT_ID

Daily digest

Summary of 24h sample counts, SLO status, top degraded checks
Sendable to a separate OBSERVATORY_DIGEST_CHAT_ID

Persistence & history

SQLite at ~/.hermes/observatory.db (path overridable)
Auto-prunes records older than 30 days
--history N prints last N records

SLOs (documented and tracked)

SLO	Target
Gateway uptime	≥ 99.5%
Webhook p95 latency	≤ 2000ms
API server p95 latency	≤ 2000ms

Usage

python observatory.py --check        # one-shot health check
python observatory.py --daemon       # continuous daemon (60s poll)
python observatory.py --digest       # print daily digest
python observatory.py --send-digest  # send digest via Telegram
python observatory.py --slo          # SLO report (30 days)
python observatory.py --history 20   # last 20 records

Config (env vars)

Var	Default
`TELEGRAM_BOT_TOKEN`	—
`OBSERVATORY_ALERT_CHAT_ID`	—
`OBSERVATORY_DIGEST_CHAT_ID`	falls back to alert chat
`OBSERVATORY_POLL_INTERVAL`	60s
`OBSERVATORY_DB_PATH`	`~/.hermes/observatory.db`
`OBSERVATORY_DISK_WARN_PCT` / `_CRIT_PCT`	80 / 90
`OBSERVATORY_MEM_WARN_PCT` / `_CRIT_PCT`	80 / 90
`OBSERVATORY_CPU_WARN_PCT` / `_CRIT_PCT`	80 / 95
`OBSERVATORY_WEBHOOK_URL`	`http://127.0.0.1:8080/health`
`OBSERVATORY_API_URL`	`http://127.0.0.1:8642/health`

Tests

45 unit tests covering all checks, persistence, alerting deduplication, digest generation, SLO tracking, and the CLI interface. All pass.

Dependencies

psutil (optional — graceful degradation if missing) — added as observatory extras group in pyproject.toml
All other dependencies use stdlib (sqlite3, urllib.request, signal)

Fixes #147 ## What this adds `observatory.py` — a standalone monitoring script and daemon for the Hermes Agent testbed. ### Health checks (all run every poll cycle) - **Gateway liveness** — reads the PID file and verifies the process is alive - **API server HTTP** — probes `http://localhost:8642/health` for 200 + latency - **Webhook HTTP** — probes the configured webhook endpoint for responsiveness - **Disk** — warn at 80%, critical at 90% of HERMES_HOME filesystem - **Memory** — warn at 80%, critical at 90% of system RAM - **CPU** — warn at 80%, critical at 95% (1-second sample) - **Observatory DB** — SQLite connectivity and size check - **Response store DB** — checks API server response store if present ### Alerting - Fires Telegram alerts within one poll cycle (default 60s) of any check degrading to `critical`/`error` - Sends recovery messages when a check returns to `ok` - Deduplicates — no alert spam for sustained failures - Configured via `TELEGRAM_BOT_TOKEN` + `OBSERVATORY_ALERT_CHAT_ID` ### Daily digest - Summary of 24h sample counts, SLO status, top degraded checks - Sendable to a separate `OBSERVATORY_DIGEST_CHAT_ID` ### Persistence & history - SQLite at `~/.hermes/observatory.db` (path overridable) - Auto-prunes records older than 30 days - `--history N` prints last N records ### SLOs (documented and tracked) | SLO | Target | |-----|--------| | Gateway uptime | ≥ 99.5% | | Webhook p95 latency | ≤ 2000ms | | API server p95 latency | ≤ 2000ms | ### Usage ``` python observatory.py --check # one-shot health check python observatory.py --daemon # continuous daemon (60s poll) python observatory.py --digest # print daily digest python observatory.py --send-digest # send digest via Telegram python observatory.py --slo # SLO report (30 days) python observatory.py --history 20 # last 20 records ``` ### Config (env vars) | Var | Default | |-----|---------| | `TELEGRAM_BOT_TOKEN` | — | | `OBSERVATORY_ALERT_CHAT_ID` | — | | `OBSERVATORY_DIGEST_CHAT_ID` | falls back to alert chat | | `OBSERVATORY_POLL_INTERVAL` | 60s | | `OBSERVATORY_DB_PATH` | `~/.hermes/observatory.db` | | `OBSERVATORY_DISK_WARN_PCT` / `_CRIT_PCT` | 80 / 90 | | `OBSERVATORY_MEM_WARN_PCT` / `_CRIT_PCT` | 80 / 90 | | `OBSERVATORY_CPU_WARN_PCT` / `_CRIT_PCT` | 80 / 95 | | `OBSERVATORY_WEBHOOK_URL` | `http://127.0.0.1:8080/health` | | `OBSERVATORY_API_URL` | `http://127.0.0.1:8642/health` | ### Tests 45 unit tests covering all checks, persistence, alerting deduplication, digest generation, SLO tracking, and the CLI interface. All pass. ### Dependencies - `psutil` (optional — graceful degradation if missing) — added as `observatory` extras group in `pyproject.toml` - All other dependencies use stdlib (`sqlite3`, `urllib.request`, `signal`)

claude added 1 commit 2026-04-07 01:59:45 +00:00

feat: add Observatory health monitoring & alerting for running services

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9fa0a59761

Implements Bezalel Epic-003 — a lightweight monitoring script that:

- Checks gateway and API server process liveness
- Monitors disk, memory, and CPU thresholds (warn/critical levels)
- Probes webhook and API server HTTP endpoints for responsiveness
- Verifies SQLite database connectivity and size
- Sends Telegram alerts when checks degrade or recover (within 60s)
- Posts daily digest reports summarising 24h health, SLO status, error counts
- Persists 30 days of health snapshots in SQLite (~/.hermes/observatory.db)
- Tracks alerts_sent for trend analysis
- Defines and tracks SLOs: gateway uptime ≥99.5%, webhook p95 latency ≤2s

Usage:
  python observatory.py --check        # one-shot check
  python observatory.py --daemon       # continuous 60s poll
  python observatory.py --digest       # print daily digest
  python observatory.py --send-digest  # send digest via Telegram
  python observatory.py --slo          # print SLO report
  python observatory.py --history 20   # show last 20 records

Config via env: OBSERVATORY_ALERT_CHAT_ID, TELEGRAM_BOT_TOKEN, etc.
Adds psutil optional dependency group in pyproject.toml.
45 unit tests covering checks, persistence, alerting, digest, SLOs, and CLI.

Fixes #147

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

claude referenced this pull request

2026-04-07 02:00:10 +00:00

[Bezalel Epic-003] The Testbed Observatory — Health Monitoring & Alerting for Running Services #147

claude merged commit a89c0a2ea4 into main

2026-04-07 02:00:41 +00:00

claude referenced this issue from a commit

2026-04-07 02:00:42 +00:00

[claude] The Testbed Observatory — Health Monitoring & Alerting (#147) (#159)

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Reference: Timmy_Foundation/hermes-agent#159