Maxim AI

# Maxim AI Documentation > Maxim AI is the GenAI evaluation and observability platform that helps teams build reliable AI applications. This documentation covers our platform features, APIs, SDKs, and comprehensive guides for AI development and testing. Maxim AI provides: - Observability and monitoring for AI applications - Agent simulation and evaluation - Comprehensive SDK support for Python and TypeScript - Integration with leading Agent Development platforms and frameworks - Enterprise-grade security ## Documentation - [Maxim AI - Home](https://getmaxim.ai): Maxim AI is an end-to-end evaluation and observability platform for AI agents. - [Maxim Bifrost](https://www.getmaxim.ai/bifrost): Bifrost is a high-performance LLM gateway that connects 1000+ models through a single API interface with extremely high throughput and is 40x faster than LiteLLM. - [Maxim Bifrost - OSS Friends](https://www.getmaxim.ai/bifrost/oss-friends): Amazing open source projects that share our mission of making AI development more accessible and efficient. - [Platform Overview](https://www.getmaxim.ai/docs/introduction/overview): An introduction to Maxim's platform for AI application development and observability. - [Maxim Documentation Home](https://www.getmaxim.ai/docs): Overview of Maxim's platform and its features for AI application development. - [The GenAI evaluation and observability platform](https://www.getmaxim.ai/llms.txt): Overview of Maxim AI's GenAI evaluation and observability platform. - [CoTools and the Future of LLM Tool Use for Complex Reasoning](https://www.getmaxim.ai/blog/chain-of-tools-llm-framework): Introduction to the Chain-of-Tools framework for enabling LLMs to interact with external tools. - [Maxim AI February 2025 Update](https://www.getmaxim.ai/blog/maxim-february-2025-update): Overview of new features and updates in Maxim AI for February 2025. - [Building Robust Evaluation Workflows for AI Agents](https://www.getmaxim.ai/blog/evaluation-workflows-for-ai-agents): Best practices for evaluating AI agents through structured workflows. - [Experimentation](https://www.getmaxim.ai/products/experimentation): Product page for Maxim AI's experimentation tools for prompts and agents. - [Evaluating a Healthcare Use Case Using Vertex AI and Maxim AI - Part 1](https://www.getmaxim.ai/blog/evaluating-a-healthcare-use-case-using-vertex-ai-and-maxim-ai-part-1): Introduction to evaluating healthcare AI systems using Vertex AI and Maxim AI. - [Can Your AI Explain Why It’s Moral?](https://www.getmaxim.ai/blog/can-your-ai-explain-why-its-moral): Examines the ethical reasoning capabilities of AI models using a structured audit framework. - [Advanced RAG Techniques](https://www.getmaxim.ai/blog/advanced-rag-techniques): Exploration of Astute RAG for handling imperfect retrieval in LLMs. - [Agent-as-a-Judge: Evaluating Agentic Systems](https://www.getmaxim.ai/blog/agent-evaluation): Explores the Agent-as-a-Judge framework for evaluating agentic systems using AI. - [Maxim AI June 2025 Updates](https://www.getmaxim.ai/blog/maxim-ai-june-2025-updates): Highlights new features, integrations, and updates in Maxim AI for June 2025. - [Announcing Maxim AI’s General Availability and Seed Round](https://www.getmaxim.ai/blog/announcing-maxim-ais-general-availability-and-the-3m-funding-round-led-by-elevation-capital): Announcement of Maxim AI's general availability and $3M funding round led by Elevation Capital. - [Chain-of-Thought Prompting: Enhancing LLM Reasoning](https://www.getmaxim.ai/blog/chain-of-thought-prompting): A blog exploring the Chain-of-Thought prompting technique for LLMs. - [SuperBPE: Rethinking Tokenization for Language Models](https://www.getmaxim.ai/blog/superbpe-rethinking-tokenization-for-language-models): Exploration of the SuperBPE tokenization strategy for language models. - [Maxim AI March 2025 Updates](https://www.getmaxim.ai/blog/maxim-ai-march-2025-updates): Highlights of new features, customer stories, and upcoming re […gekürzt]