TokenFlux

TokenFlux is a cloud-based platform designed for developers and teams to deploy, manage, and interact with autonomous AI agents in secure sandboxed environments. At its core, TokenFlux provides a single, unified API that grants access to over 200 large language models (LLMs) from multiple providers, allowing users to switch between models without changing integration code. This API layer simplifies model selection, load balancing, and failsafe handling for production workloads. Beyond model access, TokenFlux operates a network of approximately 600 Model Context Protocol (MCP) servers. These servers enable developers to distribute AI agents across diverse execution contexts—from local development machines to cloud-based containers—while maintaining consistent behavior and security policies. Agents deployed through TokenFlux can perform real-time tasks such as writing code, managing files, executing shell commands, interacting with databases, and responding to API calls. The platform emphasizes autonomous code generation. Users describe a desired application or feature in natural language, and an AI Coding Agent breaks down the request into subtasks: planning the project structure, writing files, running commands, testing, and iterating until completion. For example, building a REST API for a todo app with Express can be initiated with a single sentence; the agent then sets up the project, installs dependencies, creates route handlers, and returns a working endpoint. Security is built into the architecture. Each agent operates within a sandboxed environment that restricts file system access, network permissions, and system calls. Developers define granular permission scopes—for instance, allowing an agent to read only specific directories or interact with a limited set of