Vivgrid is an AI Agents & Automation tool that helps build, evaluate, and deploy AI agents. It provides AI observability, debugging, evaluation, testing, and deployment with globally distributed inference.
Vivgrid is an AI Agent and LLM infrastructure platform designed to help developers build, deploy, and operate AI-powered applications with speed, reliability, and cost efficiency. It offers comprehensive AI observability, debugging, evaluation, and testing capabilities, alongside a globally distributed inference infrastructure for low latency and reliable scaling. The platform supports the orchestration of multi-agent systems with stateful memory, allowing for complex workflows and context-aware reasoning. Vivgrid also provides a unified LLM Model API for direct access to state-of-the-art models, including coding, text, speech, and multimodal workloads, and enables serverless function calling for building strongly typed LLM tools.
Best used for
Ideal for developers and data scientists who need to build, test, and deploy AI agents with precision. Especially valuable for ensuring AI agent reliability, debugging errors faster with step-by-step visibility, and orchestrating complex multi-agent workflows with stateful memory.
Common actions
build AI agents
debug AI agents
evaluate AI agents
deploy AI agents
orchestrate multi-agent systems
monitor AI agent performance
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Free plan available. Not publicly disclosed. Check vivgrid.com for current pricing.
FAQs
What is Vivgrid's free plan offering?
Vivgrid offers a free plan with $0 to start, including pay-as-you-go pricing, access to cost-efficient models, geo-distributed LLM providers, serverless function calling, and 1-day API access log retention. It's ideal for individuals and small projects.
Which LLMs does Vivgrid support through its Model API?
Vivgrid's Model API supports a broad range of LLMs, including GPT-5.4, GPT-5.3 Codex, Claude Opus 4.6, Gemini 3.1 Pro, and DeepSeek V3.2. It also supports various model capabilities like Text-to-Speech, Speech-to-Text (Whisper), OCR, and Reranking.
How does Vivgrid help with AI agent observability and debugging?
Vivgrid provides full observability into prompts, API calls, memory fetches, and tool usage. It tracks agent reasoning chains to uncover why agents succeed or fail, enabling developers to debug errors faster with step-by-step visibility and detailed request logs.
Can Vivgrid be used for multi-agent orchestration?
Yes, Vivgrid allows users to compose smart agents with stateful memory and orchestrate multi-agent workflows for tasks like support, billing, or analytics. It enables agents to remember and reason with context-aware memory retrieval, and design intelligent systems that route tasks dynamically.
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