A per-call timeout bounds one call. It does not bound a stage that calls the
LLM in a loop -- and summarize-tree does worse than loop: buildTree recurses to
maxDepth (3 by default) and iterates per section at every level, then
groupSections iterates again. Hundreds of sequential calls are reachable, so a
10s per-call cap is a multiplier, not a bound.
StageBudget is one wall-clock budget shared across everything a single stage
invocation does. Once it is gone the stage takes its deterministic path --
first-line excerpts, numbered pages -- and says so. The executor builds one per
stage from config.budgetMs ?? MCPCTL_STAGE_LLM_BUDGET_MS (30s) and disposes it
in a finally, so a long-lived mcplocal never accumulates timers.
Two details that matter more than they look:
- A warm cache is never budget-gated. cachedSummarize and generatePageTitles
used ctx.cache.getOrCompute, which makes the budget check impossible to
place correctly; split into get/set so a cached summary -- which costs
nothing -- is still returned when the budget is spent.
- "No LLM configured" is NOT a degradation. It is a deliberate choice, and
numbered pages are the expected output there, so it gets no warning. Only
failures, timeouts and exhausted budgets do. Crying wolf on a working
configuration would train people to ignore the notice.
summarize-tree's single-block path previously had no try/catch at all, so a
failure escaped the stage entirely and executor.ts discarded the whole stage's
work. It now degrades like the others.
Degradation is reported three ways, all from util/degrade.ts: the reason in the
content behind the established "⚠ <feature> unavailable (<reason>)" prefix, the
count of affected sections (the recursion can hit one exhausted budget dozens of
times, so the user needs the reason once plus what it cost), and
degraded/degradedReason on the stage_execution audit event -- previously a
degradation was invisible in the trace.
docs/reliability.md now names ONE helper rather than a list of compliant call
sites. That list is exactly how this drifted: the doc named the gate and
llm/pagination.ts, and the newer stages never joined it.
Tests: the 20-section recursion completes in ~300ms against a 300ms budget;
a warm cache still serves real titles with the budget exhausted.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01GqMidYEGUJG5fxeoTELBu2
9.3 KiB
Reliability: don't let a bad LLM take mcpctl down
The homelab model changes often (fast ↔ thinking, model swaps, backends that drift or go down). mcpctl must stay responsive and honest through all of it.
Principle
LLM-optional operations must be time-bounded, fall back deterministically, and report the degradation — never hang and never degrade silently.
- Bounded: every optional LLM call is wrapped in
withTimeout(Promise.race + anAbortSignalso fetch-based providers actually cancel). A thinking model that streams for minutes can never block the caller. - Deterministic fallback: when the LLM times out or errors, use the non-LLM path (priority/keyword ordering, byte-range pages).
- Loud, not silent: log the reason (
[gate] …,[pagination] …) and tell the user.begin_sessionprepends⚠ Smart prompt-selection unavailable (<reason>)…and setsdegraded: true+degradedReasonon the auditgate_decisionevent.
One implementation: util/degrade.ts's
bounded(). It cannot throw — the caller always gets a value or a reason — so
the deterministic fallback is unconditional rather than something a catch
block has to remember. degradationNotice() produces the ⚠ … unavailable (reason). hint wording, and degradationAudit() the degraded/degradedReason
payload, so every degradation reads the same whichever subsystem produced it.
Nothing optional is unbounded by construction. The budget lives in
LLMProviderAdapter.complete() (proxymodel/llm-adapter.ts), not at each call
site, so a stage that passes no options is still bounded and a stage written
next year inherits the guarantee. One budget spans the whole failover chain —
a per-provider timeout would make the worst case N × timeout.
| Knob | Default | Bounds |
|---|---|---|
MCPCTL_LLM_CALL_BUDGET_MS |
20s | one ctx.llm.complete(), failover included |
MCPCTL_LLM_PROVIDER_TIMEOUT_MS |
10s | a single provider attempt inside that budget |
MCPCTL_STAGE_LLM_BUDGET_MS |
30s | all LLM work in one stage invocation |
MCPCTL_GATE_LLM_TIMEOUT_MS |
8s | the gate's begin_session prompt selection |
MCPCTL_PAGINATION_LLM_TIMEOUT_MS |
10s | pagination's smart index (llm/pagination.ts) |
The stage budget exists because a per-call timeout multiplies rather than
bounds when a stage loops: summarize-tree recurses to maxDepth (3) and loops
per section at every level, so hundreds of sequential calls are reachable. One
budget is shared across the whole recursion; when it is gone the stage switches
to first-line excerpts and says so. A warm cache is never budget-gated — a
cached summary costs nothing, so an exhausted budget must not degrade a result
we already hold.
read_prompts is LLM-free by design.
Why this is written down twice
This document stated the principle while proxymodel/stages/paginate.ts awaited
ctx.llm.complete() with no timeout at all. When a provider hung rather than
erroring, the promise never settled, the tool call never returned, and the
client waited out its own 1800s timeout — three such requests in production,
misdiagnosed twice as an upstream "transport fault". The doc named the gate and
llm/pagination.ts as the compliant sites, and the newer stages simply never
joined the list. Naming one helper here, rather than a list of call sites,
is what stops that drift recurring.
Note: the gate's prompt-ranking uses the heavy client provider's own model — it deliberately does not force the project's vLLM model onto it (doing so made every selection fail silently when the model wasn't anthropic-servable).
Instance health: live is not healthy
An MCP server answers tools/list from a static, in-process table. It costs
a few milliseconds, needs no credentials, and reaches no upstream — so it stays
green while the thing the server exists to talk to is unreachable. Treating that
as a health signal is how mcpctl get instances showed eight healthy servers
while the UniFi one had never once reached its controller.
So the probe reports two different passes:
| Status | Probe | Means |
|---|---|---|
healthy |
readiness — tools/call on healthCheck.tool |
The upstream answered. The server can do its job. |
live |
liveness — tools/list only |
The process is up and speaks MCP. Its upstream is unverified. |
degraded |
either, failing | Failing, but under failureThreshold. |
unhealthy |
either, failing | Failed failureThreshold times in a row. |
live is the default for any server with no healthCheck.tool. It is not a
warning — it is an admission that nothing is watching that server's upstream.
Configure a readiness probe on every server. Pick a read-only tool that
genuinely round-trips to the upstream, and verify it passes before configuring
it — a probe naming a local-only tool (get_..._version) or a tool the server
doesn't expose reproduces the same false green it was meant to remove.
mcpctl create server unifi-network --health-check-tool list_sites \
--health-check-interval 60 --health-check-timeout 15 --force
or declaratively — healthCheck round-trips through get -o yaml | apply -f:
healthCheck:
tool: list_sites
arguments: {}
intervalSeconds: 60
timeoutSeconds: 15
failureThreshold: 3
Omit tool to keep liveness while still tuning the timings.
Latency is the tell: a probe answering in single-digit milliseconds is reading a
local table, not crossing a network. The UniFi probe went from 3ms (tools/list,
lying) to 1847ms on its first real list_sites — login, TLS, controller round
trip — and ~40ms once the session was warm.
Where a failing readiness probe usually points
Turning these probes on for the first time took the fleet from "8/8 healthy" to three genuine failures in under a minute. All three were network shape, not code — check these before suspecting the server:
- Egress port. MCP server pods default to TCP 80/443 only
(
servers-allow-external-egress). Any upstream on another port — the UniFi controller on:8443— times out on every call. Declare it in Pulumi'smcpctl.serverEgressTargets; don't widen the blanket rule. - Ingress hairpin. A co-located service reached over its public hostname
goes out and back through the per-host Envoy L7 policy, which doesn't
reliably carry the caller's identity and replies with a bare
Access denied. Grafana 403'd on every call this way while the identical token succeeded from a laptop. The tell is the error shape: plain text, not the upstream's own JSON error. Use the ClusterIP (serverEgressTargetswithnamespace:). - Address reachability. A pod cannot reach a Tailscale
100.64.0.0/10address. Config pointing at one connect-timeouts forever. Use LAN IPs. (This one turned out to be a retired service, which is its own kind of answer.)
Also check the dialect: UniFi's controller_type must be classic for a
self-hosted controller (login /api/login, no /proxy/network prefix).
unifi_os sends every request to a path that 404s.
LLM-essential operations — failover chain
Chat needs an LLM but not a specific one. Instead of failing when the pinned model is down, chat fails over across an ordered chain and reports which model actually answered.
- Chain: an
Llmdeclares fallbacks inextraConfig.fallbacks: string[](Llm names, in order). The dispatcher builds an ordered candidate list — the primary's pool, then each fallback's pool — and tries them in order. - Fails over on real failures, not just transport: a non-2xx status
(e.g. a drifted model's
400) or an empty/invalid completion now advances to the next candidate (chat.service.tsrunOneInference). Streaming fails over pre-first-chunk. - Transparency:
ChatResult/ the SSEfinalframe carryllm,model, andfailedOver. The CLI printsmodel: <llm> (<model>)per turn, and⚠ failed over → answered by <llm> (<model>)when a fallback was used. - Exhaustion is clear: if every candidate fails, the error names the last model + upstream status/body (not "no choice").
Homelab chain: vllm-current (the served vLLM) → an anthropic-fallback server
Llm as the always-up last resort. The chain is owned declaratively by Pulumi
(kubernetes-deployment/deployments/mcpctl/llm-target.ts, fallbacks arg) so a
pulumi up can't wipe it — mcpd replaces extraConfig on update.
A real last resort needs an independent cloud credential. LiteLLM only fronts
the single local vLLM, so any local model shares the same GPU-box failure as the
primary. anthropic-fallback points at api.anthropic.com and only serves once
mcpd Secret anthropic-key holds a genuine sk-ant-api03 API key (from the
Anthropic Console). A Claude subscription OAuth token (sk-ant-oat…, what
claude setup-token mints) does not work: Anthropic gates those to the Claude
Code client — probed directly they 404 on older model ids and 429 on current ones.
mcpd's anthropic adapter does send OAuth tokens via Authorization: Bearer (so
auth passes), but the gating is server-side and unavoidable. Until a real key is
set, the fallback is wired-but-inert: an outage fails over to it and surfaces a
clear anthropic-fallback (model) HTTP 4xx error rather than improving uptime.