ALMtoolbox Blog

LiteLLM for AWS Bedrock Failover Across Multiple Accounts

If you use AWS Bedrock for LLM consumption and you have multiple AWS accounts, LiteLLM can help you build a resilient failover layer so your users do not feel the impact when one account runs out of quota or becomes unavailable. The idea is simple: LiteLLM sits between your applications and Bedrock, keeps a single […]

New: Sonar Vortex – AI Context Expansion to Improve Code Quality and Save Money

Sonar Vortex is a new product from Sonar designed to make AI-based code agents more efficient, controlled, and secure, through deep integration with SonarQube and an agent-driven development loop. Vortex unifies Context Augmentation and Agentic Analysis capabilities into a single product that operates within the agent’s own inner loop – at an early stage and in real time – instead of later checks […]

5 Ways to Reduce Claude Code Costs Using LiteLLM

Discover how to optimize and significantly reduce your Claude Code costs using LiteLLM. Explore virtual key budgets, automatic prompt caching, prompt compression with headroom, MCP tool deferring, and smart auto-routing.

Customer Story: How a Global Luxury Automaker Controlled Unexpected Code Risks with SonarQube SCA and SAST

A customer story on using SonarQube to detect third-party vulnerabilities (SCA) as well as vulnerabilities in human- and AI-written code (SAST static code analysis) and improve quality.

LiteLLM Open Source vs Enterprise Editions

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Due to many questions we receive regarding the differences between the editions of the product LiteLLM, we have prepared a detailed and organized list (also categorized by topic), which contains the product capabilities available only in the Enterprise edition (the paid commercial edition). There are nearly 60 such capabilities available only in the paid edition. The list covers the following topics: We have also added Excel filters to the list for ease of use, with sorting and text search options. To download […]

How to Integrate LiteLLM with git, GitHub and GitLab Workflows?

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LiteLLM is a practical way to add AI capabilities to Git-based automation without locking yourself into a single model provider. For teams using GitHub or GitLab, it can sit in the middle as a unified AI gateway for code review, commit assistance, merge request analysis, and CI-driven automations. That makes it especially useful when you […]

What’s New in GitLab 19?

GitLab 19 was recently released and we’ve made two unique lists of GitLab features: all features and what’s new

What is SonarQube’s Current Offering? [New Summary]

Recently, there have been many changes in Sonar and new tools have been added – so we thought we’d take a moment to clear things up and explain what the current SonarQube offering is, as well as what our added value is as their representatives (and of additional development utility tools). We are writing briefly here about each existing product/solution, and I would be happy to elaborate further as needed. 1) SonarQube Server – The long-standing and well-known product: Static code analysis to improve code quality and enhance security […]

Overview: Milestone AI 

Milestone is an engineering intelligence platform focused on turning real development activity into a system of record for GenAI adoption, productivity, and code quality, rather than just counting seats or tokens. It connects to your repos and tooling, attributes which code was AI-assisted, and then exposes that through product areas like Vibe Metrics, GenAI Adoption […]

LiteLLM AI Gateway: Cost Tracking, Guardrails, Budgets and More for Managing 100+ LLMs

In this article we go one level deeper and explain the main capabilities of the LiteLLM AI Gateway:cost tracking, batches API, guardrails, model access, budgets, LLM observability, rate limiting, prompt management, S3 logging and pass-through endpoints – and why DevOps / Platform / Architecture teams care about them. As we recently shared, We (ALM Toolbox) […]

New in Sonar: AI-Powered Code Review and Code Fixes

Sonar announced this week the acquisition of Gitar.AI, which developed an AI-based Code Review and code fixing tool. In this article, a short overview of Gitar.

How LiteLLM Helps GitLab Users Standardize, Secure and Control AI Usage

GitLab is rapidly adding AI features such as GitLab Duo, AI Gateway and AI‑powered CI/CD flows, but many organizations still struggle with fragmented model usage, unclear costs and compliance concerns. LiteLLM can act as the missing “AI gateway” layer for GitLab, giving you a single place to standardize LLM access, enforce security and track spend […]

We Officially Represent LiteLLM as AI Gateway Solution

We are pleased to announce that as part of our AI, DevOps, and DevSecOps solutions, we now also offer LiteLLM’s AI Gateway solution.

How Code Coverage in SonarQube Helps Developers, QA Managers, DevOps, R&D Managers, and Security Managers

An explanation of code coverage in SonarQube: how to measure Coverage correctly, integrate coverage reports with code management tools, define smart Quality Gates, and improve code quality.

GitLab Custom Roles: How to Control API Access and Webhooks without Over-Permissioning Users

GitLab custom roles help teams control access to code, settings, tokens, and webhook administration without promoting every advanced user to Maintainer or Owner. The key is understanding where custom roles help, where token scopes still matter, and how both shape access to data through the GitLab API and GitLab webhooks

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