Product

LiteLLM

by LiteLLM

Product website
https://www.litellm.ai/
Documentation
https://docs.litellm.ai/
Pricing
https://www.litellm.ai/pricing
Categories
LLM Router LLM Security & Guardrails

Description

An AI gateway that routes model requests and applies configured security guardrails.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration2/10Trust1/6Portability4/4Security2/4Tier C40/100
Component Raw Weight Contribution
Integration 2/10 35% 7.0
Trust 1/6 30% 5.0
Portability 4/4 20% 20.0
Security 2/4 15% 7.5
Signals that fired
  • Integration: Command-line interface (+1) ; SDK / developer kit (+1)
  • Trust: Verified trust center (+1)
  • Portability: Open standards (+1) ; Standard protocol access (+1) ; No proprietary-SDK lock-in (+1) ; Self-hostable (+1) ; Open source (+1)
  • Security: Compliance certifications (+1) ; Access controls — RBAC / ABAC (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills
  • Trust & data policy: Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Documented provider swap

Trust & data policy

Trust center
Vendor trust center
Open standards
Yes
Standard protocol access
Yes
No proprietary-SDK lock-in
Yes
Self-hostable
Yes
Open source
Yes
Source code
https://github.com/BerriAI/litellm
Self-hosting guide
https://docs.litellm.ai/docs/proxy/docker_quick_start

Not yet researched Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Documented provider swap

Security & compliance

Certifications and access controls this product reports on its own pages. We confirm the vendor lists each one; for certifications we don't audit the underlying report. Part of the 15% security score.

A shared trust or security page can support several certifications. We do not require separate public report links because reports may require login, vendor approval, or a nondisclosure agreement. Ask the vendor for reports and applicable coverage before a procurement decision. These listings expose no per-claim check date; the entry's updated date does not date the supporting evidence.

Compliance certifications

Access controls

RBAC

What it does

Jobs to be done

  • Protect AI applications from security threats

    Detect or block malicious instructions, unsafe tool use, or sensitive data exposure in AI applications.

    View 3 products
  • Route requests across language models

    Send LLM requests through a common gateway to select models or providers.

    View 3 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

Command-line interfaces

Developer kits

Not yet researched llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills

Open Source

Free

Free self-hosted software with no license fee.

View offer

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

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LiteLLM — listed on Open Agent Guide LiteLLM — listed on Open Agent Guide

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Markdown

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Ready to decide?

Unrated · 38% researched. Grade withheld until more fields are verified.

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