Spend Control for AnythingLLM
AnythingLLM brings RAG and agents to the desktop — free and local. Local inference is cheap; the paid tools and APIs its agents call are not.
Why AnythingLLM agents spend
Agents call paid tools and data APIs mid-task.
RAG pipelines hit embedding and search APIs.
Shared deployments multiply usage.
How it works
Add the guard as a tool: before any spend, the agent gets APPROVED, BLOCKED, or FLAGGED.
Rules that fit
Per-workspace daily ceiling.
Merchant allowlist for data and tool APIs.
Category rule: embeddings vs tools.
Guard call
from sipi_guard import sipi_guard
decision = sipi_guard(amount=7, merchant="embedding-api.com", category="data")
# APPROVED | BLOCKED | FLAGGEDLocal RAG, governed spend.
FAQ
Does this slow the desktop app?
No — ~5 ms per check, spend actions only.
Can I cap per workspace?
Yes — per-agent rules per workspace.
Related
Stop the next $12,400 night.
One API call (or MCP tool) in front of every agent transaction — APPROVED, BLOCKED, or FLAGGED, deterministic, ~5 ms, fully logged.
See plans — from $99/mo Try a live check