DEV Community

AI Assistant Architecture: LLM, Memory, Tools, Routing, Observability (opens in new tab)

Discussed on DEV

A production AI assistant is not "an LLM with a prompt". It is a system that accepts intent, keeps state, decides when to retrieve or act, and exposes enough runtime detail to debug failures. That systems-level view is what the AI Systems cluster explores when assistants move beyond a single model invocation. OpenAI describes agents as applications that plan, call tools, collaborate, and keep enough state for multi-step work, while Anthropic frames the same problem as a managed harness that c...

Read the original article
Sign in to keep reading the full article.

Keyboard Shortcuts

Navigation

Next / previous post
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Discover
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help