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Design a release management system for prompts, models, retrieval configs and agents across many teams.
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Key capabilities
- Immutable bundles: a feature release references exact component versions, so it's reproducible.
- Runtime config service: apps fetch the active bundle (cached, with a TTL) and log the bundle ID with each trace.
- Risk tiers: low-risk changes (copy tweaks) need lighter gates; high-risk (model swaps, new tools) need full evals and approvals.
- Dependency graph: "Model X deprecated in 60 days" means listing the affected features and owners automatically. "Index Y rebuilt" means triggering the retrieval evals of dependent features.
- Automated canary analysis: compare error rates, latency, cost and judge scores between canary and control with statistical tests.
- Self-service with guardrails: teams own their features; the platform enforces the process.
Related
- Previous: Q35. A product manager edited a prompt directly in the prompt-management UI, and it broke a production workflow. How do you fix the process without slowing everyone down?
- Next: Q37. Design a self-hosted inference cluster on Kubernetes serving five open models (chat, code, embeddings, reranker, small classifier) with SLOs.
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