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Chat is LLM-essential but not model-specific — instead of failing when the
pinned model is down/drifted, it now fails over across an ordered chain and
reports which model actually answered.
- Ordered fallback: an Llm declares `extraConfig.fallbacks: string[]`; the
dispatcher builds primary-pool → fallback-pool(s) candidates and tries them
in order (resolveCandidatesWithFallbacks).
- Fail over on real failures, not just transport: runOneInference now advances
on a non-2xx status (e.g. a 400 from a drifted model) or an empty/invalid
completion, not only thrown transport errors. Streaming fails over
pre-first-chunk (already threw on 4xx).
- Transparency: ChatResult + the SSE `final` frame carry {llm, model,
failedOver}; the CLI prints `model: <llm> (<model>)` each turn and
`⚠ failed over → answered by …` when a fallback was used.
- Exhaustion names the last model + upstream body (not "no choice").
Tests: 3 failover unit tests (primary 400 → fallback answers + model reported;
primary answers → failedOver=false; all fail → clear aggregated error).
mcpd 948 + CLI 508 green; tsc + lint clean. docs/reliability.md updated.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
52 lines
2.7 KiB
Markdown
52 lines
2.7 KiB
Markdown
# Reliability: don't let a bad LLM take mcpctl down
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The homelab model changes often (fast ↔ thinking, model swaps, backends that
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drift or go down). mcpctl must stay responsive and honest through all of it.
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## Principle
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**LLM-*optional* operations must be time-bounded, fall back deterministically,
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and report the degradation — never hang and never degrade silently.**
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- **Bounded:** every optional LLM call is wrapped in
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[`withTimeout`](../src/mcplocal/src/util/with-timeout.ts) (Promise.race + an
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`AbortSignal` so fetch-based providers actually cancel). A thinking model that
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streams for minutes can never block the caller.
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- **Deterministic fallback:** when the LLM times out or errors, use the
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non-LLM path (priority/keyword ordering, byte-range pages).
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- **Loud, not silent:** log the reason (`[gate] …`, `[pagination] …`) and tell
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the user. `begin_session` prepends `⚠ Smart prompt-selection unavailable
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(<reason>)…` and sets `degraded: true` + `degradedReason` on the audit
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`gate_decision` event.
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Applied in: the gate's `begin_session` prompt selection
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(`proxymodel/plugins/gate.ts`, cap `MCPCTL_GATE_LLM_TIMEOUT_MS`, default 8s) and
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pagination's smart index (`llm/pagination.ts`, `MCPCTL_PAGINATION_LLM_TIMEOUT_MS`,
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default 10s). `read_prompts` is LLM-free by design.
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Note: the gate's prompt-ranking uses the **heavy client provider's own model** —
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it deliberately does *not* force the project's vLLM model onto it (doing so made
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every selection fail silently when the model wasn't anthropic-servable).
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## LLM-*essential* operations — failover chain
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Chat needs *an* LLM but not a *specific* one. Instead of failing when the pinned
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model is down, chat **fails over across an ordered chain** and **reports which
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model actually answered**.
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- **Chain:** an `Llm` declares fallbacks in `extraConfig.fallbacks: string[]`
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(Llm names, in order). The dispatcher builds an ordered candidate list —
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the primary's pool, then each fallback's pool — and tries them in order.
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- **Fails over on real failures**, not just transport: a non-2xx status
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(e.g. a drifted model's `400`) or an empty/invalid completion now advances to
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the next candidate (`chat.service.ts` `runOneInference`). Streaming fails over
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pre-first-chunk.
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- **Transparency:** `ChatResult` / the SSE `final` frame carry `llm`, `model`,
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and `failedOver`. The CLI prints `model: <llm> (<model>)` per turn, and
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`⚠ failed over → answered by <llm> (<model>)` when a fallback was used.
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- **Exhaustion is clear:** if every candidate fails, the error names the last
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model + upstream status/body (not "no choice").
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Homelab chain: `vllm-current` (the served vLLM) → an `anthropic-fallback` server
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Llm as the always-up last resort.
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