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# 7 Things For Agents in Production

**[Sam Witteveen](https://daily.dev/sources/samwitteveenai)** · 15 min read · 1 upvotes · 0 comments

## Summary

A practical checklist of seven critical concerns for deploying multi-user AI agents to production: (1) model control via a unified abstraction layer to swap providers easily, (2) prompt management with versioning and a prompt registry, (3) guardrails for input/output filtering including PII/PHI compliance, (4) budget limiting to prevent runaway API costs, (5) tool and MCP server authentication centralized through a gateway, (6) monitoring and distributed tracing for every request and response, and (7) evals both pre- and post-deployment to catch regressions. The video is sponsored by TrueFoundry, which is used to demonstrate each concept, but the checklist applies to any platform.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=aIy85-gIDzI>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#observability](https://daily.dev/tags/observability), [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#prompt-engineering](https://daily.dev/tags/prompt-engineering)

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