LLM orchestration tools - AI tools

Flowise is an open-source low-code platform that enables developers to build customized LLM orchestration flows and AI agents through a drag-and-drop interface.

• Freemium
• From 35$

Laminar is an open-source platform that enables developers to trace, evaluate, label, and analyze Large Language Model (LLM) applications with minimal code integration.

• Freemium
• From 25$

BenchLLM is a tool for evaluating LLM-powered applications. It allows users to build test suites, generate quality reports, and choose between automated, interactive, or custom evaluation strategies.

• Other

LiteLLM provides a simplified and standardized way to interact with over 100 large language models (LLMs) using a consistent OpenAI-compatible input/output format.

• Free

Neutrino AI provides multi-model AI infrastructure to optimize Large Language Model (LLM) performance for applications. It offers tools for evaluation, intelligent routing, and observability to enhance quality, manage costs, and ensure scalability.

• Usage Based

LiteLLM is a comprehensive LLM gateway solution that provides unified API management, authentication, load balancing, and spend tracking across multiple LLM providers including Azure OpenAI, Vertex AI, Bedrock, and OpenAI.

• Freemium

OpenTools provides a unified API enabling developers to connect Large Language Models (LLMs) with a diverse ecosystem of tools, simplifying integration and management.

• Usage Based

Gorilla is an open-source Large Language Model (LLM) developed by UC Berkeley, designed to interact with a wide range of services by invoking API calls.

• Free

LMQL is a programming language designed for large language models, offering robust and modular prompting with types, templates, and constraints.

• Free

Literal AI streamlines the development of LLM applications, offering tools for evaluation, prompt management, logging, monitoring, and more to build production-grade AI products.

• Freemium

Conviction is an AI platform designed for evaluating, testing, and monitoring Large Language Models (LLMs) to help developers build reliable AI applications faster. It focuses on detecting hallucinations, optimizing prompts, and ensuring security.

• Freemium
• From 249$

LLMLingua Series offers prompt compression techniques to accelerate Large Language Model (LLM) inference, reduce costs, and enhance performance, especially in long context scenarios.

• Other

Unify provides tools to build, test, and optimize LLM pipelines with custom interfaces and a unified API for accessing all models across providers.

• Freemium
• From 40$

Lora provides an SDK for integrating a fine-tuned, mobile-optimized local Large Language Model (LLM) into applications with minimal setup, offering GPT-4o-mini level performance.

• Freemium

Phoenix accelerates AI development with powerful insights, allowing seamless evaluation, experimentation, and optimization of AI applications in real time.

• Freemium

Petals enables users to run large language models like Llama 3.1 and Mixtral collaboratively, distributing the load across a network of consumer-grade GPUs.

• Free

Superpipe is an open-source experimentation platform designed for building, evaluating, and optimizing Large Language Model (LLM) pipelines to improve accuracy and minimize costs. It allows deployment on user infrastructure for enhanced privacy and security.

• Free