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# Rate-limit observability runbook
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> Companion to issue #64 ("RATE_LIMIT default re-tune analysis"). After
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> #60 deployed the per-tenant `keyFor` keying, the right RATE_LIMIT
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> default became data-dependent. This runbook documents the metrics +
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> queries an operator should run to confirm whether the current 600
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> req/min/key default is correct, too tight, or too loose.
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## What's already exposed
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The workspace-server's existing Prometheus middleware
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(`workspace-server/internal/metrics/metrics.go`) tracks every request
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on every path:
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```
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molecule_http_requests_total{method, path, status} counter
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molecule_http_request_duration_seconds_total{method,path,status} counter
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```
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Path is the matched route pattern (`/workspaces/:id/activity` etc), so
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high-cardinality workspace UUIDs do not explode the label space.
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The rate limiter middleware (#60, `workspace-server/internal/middleware/ratelimit.go`)
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also stamps every response with `X-RateLimit-Limit`, `X-RateLimit-Remaining`,
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and `X-RateLimit-Reset`. Operators with browser-side or proxy-side
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header capture can read per-request bucket state directly.
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No new instrumentation is needed for #64's acceptance criteria. The
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metric surface is sufficient — this runbook just collects the queries.
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## Queries to run after #60 deploys
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### 1. Is the bucket actually firing 429s?
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```promql
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sum(rate(molecule_http_requests_total{status="429"}[5m]))
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```
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If this is zero on a given tenant, the bucket isn't being hit. If it's
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sustained > 1/min, dig in.
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### 2. Which routes attract 429s?
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```promql
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topk(
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10,
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sum by (path) (
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rate(molecule_http_requests_total{status="429"}[5m])
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)
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)
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```
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Expected shape post-#60:
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- `/workspaces/:id/activity` should be near zero — the canvas no longer
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polls it on a 30s/60s/5s cadence (PRs #69 / #71 / #76).
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- Probe / health / heartbeat paths should be ~0 (those routes have a
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separate IP-fallback bucket).
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If `/workspaces/:id/activity` 429s persist post-PRs-69/71/76 deploy, the
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canvas isn't running the WS-subscriber path — investigate WS health
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on that tenant.
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### 3. Per-bucket-key inference (no direct exposure today)
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The bucket map itself is in-memory only; we deliberately do **not**
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expose `org:<uuid>` ↔ remaining-tokens because that map can include
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SHA-256 hashes of bearer tokens. A tenant that wants per-key visibility
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should rely on response headers (`X-RateLimit-Remaining` on every
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response from a given session is the bucket's view of that session).
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If you genuinely need server-side per-bucket counts for triage,
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file a follow-up — the proper shape is a `/internal/ratelimit-stats`
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endpoint that emits **counts per key prefix only** (e.g. `org:`, `tok:`,
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`ip:`), never the key payloads. Don't roll that ad-hoc; it's a security
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review surface.
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## Decision tree for the re-tune
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After 14 days of production traffic on a tenant, look at the queries
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above and walk this tree:
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```
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Q1: Is the 429 rate sustained > 0.1/sec on any tenant?
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├─ NO → The 600 default has comfortable headroom. Either keep it,
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│ or lower it carefully (300) ONLY if you have a documented
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│ reason (e.g. a misbehaving client we want to throttle harder).
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│ Default to "no change" — see #64 for the math.
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└─ YES → Q2.
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Q2: Is the 429 rate concentrated on ONE tenant or spread across many?
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├─ ONE tenant → Operator override: set RATE_LIMIT=1200 or 1800 on that
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│ tenant's box. Document in the tenant's ops note. The
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│ default does not need to change.
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└─ MANY tenants → Q3.
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Q3: Are the 429s on a route that polls (e.g. /activity / /peers)?
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├─ YES → Confirm PRs #69, #71, #76 have actually deployed to those
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│ tenants. If they have and 429s persist, the canvas may have
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│ a regression — do not raise RATE_LIMIT. File a canvas issue.
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└─ NO → 429s on mutating routes mean genuine load. Raise the default
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to 1200 in `workspace-server/internal/router/router.go:54`.
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Same PR should attach: the metric chart, the time window,
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and a paragraph explaining what changed in our traffic shape.
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```
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## Alert rule template (drop-in for Prometheus)
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```yaml
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# Sustained 429s — file is the SLO trip-wire. If this fires, walk the
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# decision tree above. NB: the issue#64 acceptance criterion is "two
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# weeks of metrics"; this alert is the inverse — it tells you something
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# changed before the two weeks are up.
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groups:
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- name: workspace-server-ratelimit
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rules:
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- alert: WorkspaceServerRateLimit429Sustained
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expr: |
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sum by (instance) (
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rate(molecule_http_requests_total{status="429"}[10m])
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) > 0.1
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for: 30m
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labels:
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severity: warning
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owner: workspace-server
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annotations:
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summary: "{{ $labels.instance }} sustained 429s — see ratelimit-observability runbook"
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runbook: "https://git.moleculesai.app/molecule-ai/molecule-core/blob/main/docs/engineering/ratelimit-observability.md"
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```
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Threshold rationale: 0.1 req/s = 6/min sustained over 10min. Below
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that, a 429 is almost certainly a transient burst that the canvas's
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retry-once handler at `canvas/src/lib/api.ts:55` already absorbs. The
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30m `for:` keeps the alert from chattering on a brief blip.
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## Companion probe script
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For one-off triage when an operator can reproduce the problem in their
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own browser, `scripts/edge-429-probe.sh` (#62) reproduces a canvas-
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sized burst against a tenant subdomain and dumps each 429's response
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shape so the operator can distinguish workspace-server bucket overflow
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from CF/Vercel edge rate-limiting without dashboard access.
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```sh
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./scripts/edge-429-probe.sh hongming.moleculesai.app --burst 80 --out /tmp/edge.txt
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```
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The script's report header explains how to read the output.
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