部署与成本优化

Deploying LLM features requires resilient rollout, multi-provider strategies, and cost discipline.

1) Deployment Patterns

• Config-driven: prompts/models/routing in config, reload without redeploy.
• Blue-green / canary: ship new configs to a slice; rollback fast.
• Feature flags: per-tenant/user gating for risky features.

2) Multi-Provider Strategy

• Aliases: chat-default, embed-default mapped to providers.
• Fallback: primary fails → secondary; log fallback usage.
• Regional routing: keep data in-region if required; respect compliance.
• Capability matrix: track context length, tool support, multimodal support per model.

3) Cost Controls

• Model tiers: use small/cheap by default; escalate to strong models only when needed.
• Max tokens: cap input/output; trim history; use summarization for long threads.
• Caching: deterministic tasks cached; retrieval cache for repeated queries.
• Budgets & alerts: per-env/per-tenant daily budgets; alert on spikes.

4) Performance & Reliability

• Connection pooling; HTTP/2; gzip/br compression where allowed.
• Retries/backoff + circuit breakers for flaky providers.
• Warm paths: preflight DNS/TLS; keep-alive to reduce cold latency.

5) Compliance & Data Handling

• Env-separated keys; no prod keys in dev.
• Data residency: route to compliant regions; scrub PII before sending.
• Logging hygiene: avoid storing sensitive payloads; hash IDs.

6) Rollout Checklist

• Health + latency SLOs monitored; alerts on 5xx/429 surge.
• Kill switch ready per model/prompt/config.
• Backward compatibility: schema/version tags in requests; old clients still work.
• Post-deploy review: cost delta, latency delta, error delta.