Maxim Vault - Our secure secret management system 👮‍♂️🔐 You can easily manage your Secrets (eg. API Tokens etc.). Vault ensures they're encrypted (AES-256-CBC), never exposed in logs, and only decrypted when needed at runtime. In this video, Dhwanil Pithva from our team walks

🎉 Maxim's One-Line Integration for Google's Gemini is Here! Build AI systems using Google Gemini and effortlessly push logs to Maxim with just one line of code. Monitor costs, latency, token usage, LLM activity, and function calls, all in one place. Watch this quick demo by

One line integration for Mistral AI by Maxim is live 🚨 Build Mistral Based AI Agents and effortlessly push logs to Maxim with just one line of code. You can monitor costs, latency, token usage, LLM activity, and function calls on Maxim Dashboard. Watch this quick demo by

Observing your AI agent, especially in production provides critical visibility into how it's behaving, which can help you improve reliability, safety, and performance. Here’s how observation helps: - Trace tool usage, intermediate reasoning steps, or faulty LLM calls. - Pinpoint

How about building a Google's Gemini-Powered Conversational Weather Agent with Maxim AI Logging? A simple agent that - 1. Responds to user messages in a natural chat format 2. Uses Tavily to fetch current weather for any location 3. Logs all traces, latency, costs, and

At Maxim AI, we’ve just made it incredibly simple to monitor your Mistral AI -based AI systems, with just one line of code. In this quick tutorial, we walk you through: ✅ Installing Mistral + Maxim SDKs ✅ Setting up your API and Log Repository ✅ Logging traces

Do Language Models Know That They're Being Evaluated? Picture this scenario: You’re very new to AI, exploring chatgpt by testing its capabilities on various topics, expecting honest answers unaware that behind the scenes, it already figured out that it’s being tested and is

Prompt Partials in Maxim AI - Store common prompt elements as reusable snippets that you can include across different prompts - helping you maintain consistency and reduce repetition. eg. Let’s say you often want your agent to respond in a professional, friendly tone. You

Last week at Maxim AI, we rolled out several powerful upgrades to give teams more control, clarity, and customization across the platform. Here's what’s new: Custom Dashboards Just Got an Upgrade ⬆️ Dashboards are now more flexible and insightful: - Custom metric cards

How about we create an intelligent game that can generate questions, check answers, and adapt to different difficulty levels? ⛳️ 🧮 In this tutorial, we'll build a Math Trivia Game using Mistral AI's language model and Maxim AI for observability. Our agent will be able to

What if you could test your AI system with thousands of diverse users without recruiting a single person? User Simulation makes this possible. Simulating human users - a fundamental application of AI has driven progress in both research and industry. By allowing machines to

First introduced by Yao and others in the 2023 paper, “ReACT: Synergizing Reasoning and Acting in Language Models,” ReAct can be understood most generally as a machine learning (ML) paradigm to integrate the reasoning and action-taking capabilities of LLMs. More specifically,

🚀 AI Evals: Your Key to Building Trustworthy AI Agents! 🚀 AI agents are everywhere, from support automation to travel booking assistants. But here’s the catch: building them is easy, making them work reliably in the real world is hard. At Maxim AI, we believe evals are the

This video demonstrates how you can use the Maxim AI SDK to create Test Runs / Simulations for both individual prompts and agentic workflows. You'll learn how to easily simulate agent behavior, test output quality, and identify failure points in your AI logic. Additionally,

Today, we are thrilled to announce a strategic partnership between Maxim AI and Google Cloud's Vertex AI, a collaboration to enable developers with a comprehensive and robust solution to evaluate and observe complex agentic AI applications. The journey to building truly

Big news! Maxim AI is partnering with Google Cloud’s Vertex AI to empower teams building complex agentic AI applications with a powerful evaluation and observability stack. As AI moves from experimentation to real-world deployment, teams need more than just great models,

Maxim's Integration for Anthropic is Here! 🚀 Build AI systems using Anthropic Claude LLMs and effortlessly push logs to Maxim AI. Monitor the following data about your agent run on Maxim Dashboard - - Costs - Latency - Token Usage - LLM activity - Function Calls

One bad apple can spoil the bunch. Apparently this stands true when speaking of finetuning tasks too. A recent paper uncovered a quite interesting phenomenon: finetuning an LLM on insecure code led it show homicidal tendencies in conversations. And this is not just a fluke, but a