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Continuously validate your LLM-based application throughout the entire lifecycle from pre-deployment and internal experimentation to production. | It is a platform for structured prompt engineering. It helps you develop, test, and monitor your LLM structured tasks using templates, queries, collections, and functions. |
LLM evaluation;
Real-time monitoring;
Simplify compliance with AI-related policies, regulations, and soft laws | Design your prompt templates in an extended playground;
Test prompts on entire query collections at once;
Define test-queries with expected result JSON schemas or values;
Follow up with the entire history of your runs and tests |
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The most advanced, consistent, and effective AI humanizer on the market. Instantly transform AI-generated text into undetectable, human-like writing in one click.

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

Waxell is the AI governance plane for agentic systems in production. It sits above agents, models, and integrations, enforcing constraints and defining what's allowed. Auto-instrumentation for 200+ libraries without code changes. Real-time tracing, token and cost tracking, and 11 categories of agentic governance policy enforcement.

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

Find what caused your AI bill. Opsmeter gives endpoint, user, model, and prompt-level AI cost attribution in one view.

Transform basic prompts into expert-level AI instructions. Enhance, benchmark & optimize prompts for ChatGPT, Claude, Gemini & more.