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Author SHA1 Message Date
root 36ae464f59 fix: probe alignment across multiple monitoring contracts
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- infra-monitoring: Added Router+LiteLLM+PVE API probes with expected HTTP codes (200/401/500)
- gpu-monitor: Added explicit check-health section with Router+LiteLLM probe commands
- proxmox-monitor: Added check-health section for Prometheus/Grafana/exporters (all bound to 0.0.0.0)
- zulip-health: Fixed A2A port from :8001 to :50080 and added auth-gated expectation (401)

Closes: infra-monitoring-probe-alignment, gpu-monitor-probe-alignment, proxmox-monitor-probe-alignment, zulip-health-probe-alignment
2026-09-08 07:20:41 +00:00
root a3e97ce72b fix: add Router+LiteLLM+PVE API probes to infrastructure-monitoring check-health
- Added Router health probe (http://192.168.68.116/health) — expected 200
- Added LiteLLM health probe (http://192.168.68.116/litellm/health) — expected 200
- Added PVE API probe (https://192.168.68.116:8006/api2/json) — 401 expected for unauthenticated
- Clarified that 401 means API is up, 000 means unreachable, 500 means API down

Closes: infra-monitoring-probe-alignment
2026-09-08 07:20:41 +00:00
root cc5fe0991c Move Zulip bot creds from inline to env/vault reference
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The abiba-bot@chat.sysloggh.net:KEY is now sourced from
/etc/litellm-monitor.env as ZULIP_USER and ZULIP_BOT_KEY.
2026-09-08 06:18:21 +00:00
mumuni-bot dc78604360 Merge pull request 'feat: litellm-client-timeouts — standard client timeout/retry policy for all agents' (#61) from fix/litellm-client-timeouts into master
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2026-09-08 06:14:03 +00:00
mumuni-bot 7bbf148778 feat: litellm-client-timeouts contract — standard client timeout/retry policy
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Root cause of the 2026-09-06 incident: 157 client-abandoned 408s against a
backend that was succeeding at 20-70s/call once clients stopped giving up.
Measured grounding: syslog-auto 28.8s avg / 25.4s TTFT over 888 calls;
nginx already allows 600s (Rule 5); the gap was entirely client-side.

Values: >=300s primary path, >=120s gpu-dense delegation, 2 retries with
15s/45s backoff, identified probes at 30s/hourly, batch jobs chunked +
day-scheduled. Verified live: Prometheus metrics, 0.56s syslog-auto probe,
gpu-fleet /health/unified topology.
2026-09-08 06:07:43 +00:00
mumuni-bot 3a25c7cce5 Merge pull request 'fix: restore agent-health-check AGENTS roster + land missed Tanko-DSH rows' (#60) from fix/tanko-dsh-reland into master
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2026-09-07 07:34:34 +00:00
5 changed files with 188 additions and 7 deletions
+22 -1
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@@ -97,7 +97,28 @@ This replaces the previous DM-only delivery. All agents on the mesh can see and
`curl http://localhost:9100/gpu-data | jq` — Full fleet status
### check-health
`curl http://localhost:9100/health` — Monitor self-check
**RUN LIVE, NEVER ECHO — every dispatch must execute the probes below with real tool calls; never repeat a prior report unless a live probe fails.**
```bash
# GPU Monitor health
curl http://localhost:9100/health | jq
# Expected: 200 with {"status": "healthy", "cache_age_seconds": <n>}
# Router health (via nginx on port 80)
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116/health
# Expected: 200 (Router is up and responding)
# LiteLLM health (via nginx on port 80)
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116/litellm/health
# Expected: 200 (LiteLLM is up and responding)
# Dashboard
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116/dashboard/
# Expected: 200 (Dashboard is up and responding)
```
**Report format**: Summarize actual results from each probe. If any probe returns non-200, flag as alert.
### view-dashboard
Open `http://localhost:9100/` in browser — Live HTML dashboard
+16 -2
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@@ -108,7 +108,9 @@ GPU .8 (RTX 3090) GPU .110 (RTX 5070) GPU .15 (Strix Halo)
```bash
# Zulip API health (POST ping)
curl -s -o /dev/null -w '%{http_code}' -X POST https://chat.sysloggh.net/api/v1/messages -u 'abiba-bot@chat.sysloggh.net:KEY'
source /etc/litellm-monitor.env
ZULIP_USER="abiba-bot@chat.sysloggh.net"
curl -s -o /dev/null -w '%{http_code}' -X POST https://chat.sysloggh.net/api/v1/messages -u "${ZULIP_USER}:${ZULIP_BOT_KEY}"
# Expected: 200 (HTTP 000 = unreachable/cache)
# PM2 process health
@@ -120,6 +122,18 @@ curl -s http://192.168.68.8:9400/metrics && echo " - OK" || echo " - FAIL"
curl -s http://192.168.68.110:9400/metrics && echo " - OK" || echo " - FAIL"
curl -s http://192.168.68.15:9400/metrics && echo " - OK" || echo " - FAIL"
# Router health (via nginx on port 80)
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116/health
# Expected: 200 (Router is up and responding)
# LiteLLM health (via nginx on port 80)
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116/litellm/health
# Expected: 200 (LiteLLM is up and responding)
# PVE API (401 expected for unauthenticated probe — API is up over https)
curl -s -o /dev/null -w '%{http_code}' https://192.168.68.116:8006/api2/json
# Expected: 401 (unauthorized — API is up; 000 = unreachable, 500 = API down)
# Prometheus targets
curl -s http://192.168.68.116:9090/api/v1/targets | jq '.data.activeTargets'
# Expected: All targets UP (may show some down if exporters not deployed)
@@ -128,7 +142,7 @@ curl -s http://192.168.68.116:9090/api/v1/targets | jq '.data.activeTargets'
curl -s http://192.168.68.116:3001/api/health | jq '{status, version}'
# Expected: {"status":"ok","version":"..."}
# LiteLLM metrics
# LiteLLM metrics (Prometheus endpoint)
curl -s http://192.168.68.116:4001/metrics | head -20
# Expected: Prometheus-formatted metrics output
```
+117
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@@ -0,0 +1,117 @@
---
kind: pattern
name: litellm-client-timeouts
description: >
Standard client timeout and retry policy for ALL agents calling LiteLLM
(CT 116, http://192.168.68.116). Created 2026-09-08 after the Sep 6 incident:
a backend stall 04:00-06:30 EDT produced 157 client-abandoned 408 failures
(82% from abiba-pi, 13 from mumuni) against a backend that was actually
succeeding at 20-70s per call once clients stopped giving up. Grounded in
measured data: syslog-auto (LiteLLM virtual model, no dedicated GPU — routes
to backends) averages 28.8s/request with 25.4s TTFT over 888 calls/24h;
nginx already allows 600s (Rule 5, verified 2026-08-09); the gap is entirely
client-side. Blast radius if wrong: agents fall back to DeepSeek silently
(key/timeout failures present as model degradation, not errors) or abandon
healthy-but-slow reasoning calls, fragmenting long tasks.
---
## Maintains
- client_timeout_standard: "litellm-client-timeouts v1.0 (2026-09-08)"
- applies_to: ALL agents and scripts calling http://192.168.68.116 (main model path, auxiliary tasks, health probes, benchmark jobs)
- verified_against: Prometheus litellm_* metrics 24h window ending 2026-09-08 ~10:00 EDT; live probe (syslog-auto tiny call 0.56s TTFB, 200 OK); nginx 600s proxy_read_timeout (Rule 5)
## The measured numbers these values come from
| Model | avg latency | avg TTFT | p-profile (24h) |
|---|---|---|---|
| syslog-auto | 28.8s | 25.4s | 68 calls took 30-120s; tail to ~300s under load |
| qwen3.6-27B-code | 23.0s | — | same backend class as syslog-auto |
| strix-moe | 7.5s | — | Strix Halo, healthy |
| gemma-4-12b | 2.6s | — | RTX 5070, healthy |
Sep 6 incident timeline: failures 04:00-07:00 EDT (0% GPU util = wedged
backend), full recovery 07:00-08:00 with ZERO client failures once requests
tolerated 20-70s — 392 successful slow calls in the three hours after recovery.
LiteLLM's internal queue time is ~0s; the latency is model inference, not
proxy queuing.
## Parameters
### 1. Primary model path (model.default / custom_providers) — NO client timeout below 300s
- The default Hermes HTTP timeout (~60s) is TOO SHORT for syslog-auto's healthy
28.8s average + 120-300s tail. Every 408 in the incident was a client
abandoning a request the backend would have answered.
- If the transport exposes a timeout setting for the main model, set it to
**300s or more**. If it does not (current Hermes custom-provider path has no
timeout knob), that is acceptable ONLY because nginx holds the request for
600s — but any wrapper, script, or direct API call you write MUST set its own
timeout >= 300s for syslog-auto/qwen-class calls.
- Never hardcode a shorter timeout "to fail fast" on this path — failing fast
here is what caused the incident.
### 2. Auxiliary tasks — keep template timeouts, one correction
- vision: 60s (keep), web_extract: 30s (keep) — gemma-4-12b averages 2.6s;
these are fine.
- compression: 300s (keep — this was already raised from 60 per gpu-fleet).
- **gpu-dense delegation/x_search: set timeout >= 120s.** The RTX 3090
(qwen3.6-27B-code backend, 23.0s avg) is the same speed class as
syslog-auto; delegation defaults that assume fast responses will 408 the
same way.
### 3. Retry policy — backoff, not repetition
- On timeout (408) or 5xx: retry up to **2 times** with exponential backoff
(**15s, 45s**) before giving up.
- Do NOT retry in a tight loop. The Sep 6 spike shape (65 failures in one hour
from one key) was a batch job retrying without backoff while the backend was
down — it multiplied load during recovery.
- On 401/403: do NOT retry — that is a key/permission problem (see
litellm-api-keys.prose.md and Rule 11); retrying just spams the log.
- On 429: honor the retry-after header if present, else back off 60s.
### 4. Health probes — identify yourself and time out sanely
- Probes MUST NOT appear as keyless, model-less failures in the metrics (12
such orphans appeared in the incident window and cost investigation time).
Send a real model name and use a real (probe-designated) key.
- Probe timeout: 30s. A probe that takes longer than 30s IS the alert —
report "backend slow (>30s)" rather than hanging.
- Probe cadence: at most hourly. The 6h litellm-health cron cadence is the
standard; sub-hourly synthetic traffic distorts latency baselines.
### 5. Batch/benchmark jobs — schedule away from 04:00-07:00 EDT and chunk
- The incident window showed bulk clients amplifying a backend stall 5:1.
- Batch jobs that can tolerate delay: schedule 09:00-17:00 EDT.
- Any batch loop over N requests MUST sleep >= 5s between requests and honor
the retry policy in section 3.
## Returns
- A single standard any agent or script can cite: timeouts >= 300s on the
syslog-auto path, >= 120s on gpu-dense delegation, backoff retries (2x,
15s/45s), identified probes at 30s/hourly, batch jobs chunked and
day-scheduled.
- Failure signature recognition: bulk 408s from multiple keys in one window =
backend event (check gpu_utilization_percent: 0% = wedged, ~100% = saturated);
single-key 408s = that client's timeout is too short.
- Cross-references: hermes-config-template.prose.md (Rule 5 nginx 600s,
auxiliary timeouts), gpu-fleet.prose.md (compression 300s precedent,
stable aliases), litellm-api-keys.prose.md (key/permission failures).
## Intentionally NOT changed
- No server-side LiteLLM timeout/cooldown changes proposed — the incident
self-recovered and the server is healthy (0.56s live probe); changing
server behavior without process-level root cause (CT116 requires root;
not reachable from kagentz) would be guessing.
- No change to the template's vision/web_extract/compression timeouts —
measured data says they are correct.
- No per-agent key permission changes — those are litellm-api-keys.prose.md
territory (and the open gpu-vision/gemma 403 items are already filed with
the key owners).
- No model routing changes — syslog-auto's weighted pool behaved correctly
throughout the incident.
+26
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@@ -100,6 +100,32 @@ Edit `build-dashboards.py`, run it, `docker restart harness-grafana`
### check-targets
`curl http://192.168.68.116:9090/api/v1/targets | jq '.data.activeTargets[] | {job:.labels.job,health}'`
### check-health
**RUN LIVE, NEVER ECHO — every dispatch must execute the probes below with real tool calls; never repeat a prior report unless a live probe fails.**
```bash
# Prometheus health (bound to 0.0.0.0:9090 on .116)
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116:9090/-/healthy
# Expected: 200 (Prometheus is up and healthy)
# Grafana health (bound to 0.0.0.0:3001 on .116)
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116:3001/api/health
# Expected: 200 (Grafana is up and healthy)
# Docker Stats exporter (bound to 0.0.0.0:9324 on .116)
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116:9324/metrics
# Expected: 200 (docker-stats-exporter is up and responding)
# PVE exporter (bound to 0.0.0.0:9221 on .116)
curl -s -o /dev/null -w '%{http_code}' http://192.168.68.116:9221/metrics
# Expected: 200 (pve-exporter is up and responding)
```
**Report format**: Summarize actual results from each probe. If any probe returns non-200, flag as alert.
**Note**: All exporters are bound to 0.0.0.0 (not 127.0.0.1) so they are reachable from the LAN.
### restart-exporter
`cd /opt/monitoring && docker compose restart pve-exporter docker-stats`
+7 -4
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@@ -238,10 +238,11 @@ ssh root@192.168.68.24 "grep -E 'Finalized|Failed to finalize|Replied to' ~/.her
**C1: A2A Server Health**
```bash
ssh root@192.168.68.14 "docker exec agent-zero curl -s --connect-timeout 5 http://127.0.0.1:8001/.well-known/agent.json"
# A2A server is on :50080 (not :8001) and is auth-gated (401 expected for unauthenticated)
ssh root@192.168.68.14 "curl -s --connect-timeout 5 -o /dev/null -w '%{http_code}' http://127.0.0.1:50080/a2a/"
```
Expected: `{"name":"kagentz",...}`. Connection refused → A2A server down.
Expected: `401` (auth-gated, A2A server is up and responding) or `200` (if no auth required). Connection refused (000) → A2A server down.
**C2: Adapter Process**
@@ -262,12 +263,14 @@ Check: `processed=N` incrementing, `silence < 600s`, `reconnects` ≈ 0.
**C4: A2A Response Verification**
```bash
ssh root@192.168.68.14 "docker exec agent-zero curl -s -X POST http://127.0.0.1:8001/a2a \
# A2A server is on :50080 (not :8001) and is auth-gated (401 expected for unauthenticated)
ssh root@192.168.68.14 "curl -s -X POST http://127.0.0.1:50080/a2a \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer $LITELLM_KEY' \
-d '{\"jsonrpc\":\"2.0\",\"method\":\"tasks/send\",\"params\":{\"message\":{\"role\":\"user\",\"parts\":[{\"text\":\"ping\"}]}},\"id\":1}'"
```
Expected: task ID with "working" status. Poll for completion with `tasks/get`.
Expected: task ID with "working" status. Poll for completion with `tasks/get`. If 401, check LITELLM_KEY is set.
**Platform C Actions**