One AI GatewayEvery Model
Token AI Cloud: connect models and run agents in the cloud.
Global routing Route requests across multiple upstreams.
For coding agents OpenAI-compatible access to leading models.
For product teams Keys, usage and billing in one place.
Global routing Route requests across multiple upstreams.
VEGA DASHBOARD
Your AI workspace, in full view.
Balance, usage, API keys and cloud agents—all in one dashboard.

Models, groups and keys. One place.
Choose a model provider
Global routing. Clear costs.
One console for your team
FROM MODEL ACCESS TO COMPLETED TASKS
Put your AI to work. Keep the whole process in view.
Start tasks and follow progress in one workspace.
Launch agents in the cloud
Pi Agent, OpenClaw and Hermes supported.
Chat to start tasks
Mention @Agent and send your request.
Schedule recurring work
Set a /loop interval for repeat tasks.
Follow every step
Follow progress with event cards and duration bars.
See usage and spending
Track daily spending and per-request usage.
Get help with context
Share screenshots and files in support chat.
TOKEN4AI CLI + SKILL
Your workspace, from the terminal
Check usage and manage keys with the CLI. Let agents use the skill.
- Install token4ai.
- Authorize in your browser.
- Run a command or hand it to your agent.
Run in your terminal after authorization
token4ai whoami --json
token4ai balance --json
token4ai usage --page-size 5 --jsonFunding and usage

Products and services
AI Gateway: One Unified API for Every Model
One gateway, multiple model providers.
Learn more →OpenAI-Compatible API: Base URL, Models & Keys
Token Cloud with OpenAI-compatible access.
Learn more →AI Agent Cloud: Hosting & Coding Tasks
Team Agents: collaborate in a dedicated project Room.
Learn more →Token Usage, Cost Tracking & API Keys
Track usage, manage keys and get support.
Learn more →Token4AI CLI & Agent Skill
Manage your workspace with commands and skills.
Learn more →Questions, answered
What is Token4AI Cloud?
Token4AI Cloud (Token AI Cloud / Token AI) brings model APIs and cloud agents into one workspace.
Is the API OpenAI compatible?
Yes. Set your client’s base URL and Token4AI API key.
Can I switch providers without rewriting my app?
Usually, update the model and key. Test any provider-specific features.
How do I start?
Sign up, add credit, create an API key and connect your client.
Build with Token4AI
curl https://api.token4ai.cloud/v1/models -H "Authorization: Bearer $TOKEN4AI_KEY"TOKEN4AI JOURNAL
Follow AI technology. Understand what changes.
Technical perspectives on models, chips and agents.
Dropless MoE Is a Runtime Problem as Much as a Model Design
NVIDIA describes a JAX and Transformer Engine stack for reducing the irregular compute and communication costs of dropless Mixture-of-Experts training. The important engineering lesson is that grouped GEMM, expert-parallel communication, precision management, memory placement, and compiler scheduling must be evaluated as one system.
Read article →DeepSeek · Open models · KV cache · Token AI Cloud · 2026-09-10DeepSeek V4.1 Flash and the economics of remembering
DeepSeek separates the work of reading context from generating answers. Its practical value depends on cache behavior, model identity and completed tasks—not a parameter count alone.
Read article →OpenAI · Agents API · Harness · Agent Cloud · 2026-09-10OpenAI Agents API turns the agent harness into a cloud service
OpenAI now offers the harness behind Codex through a managed API. The engineering decision shifts toward who owns context, execution environments and the evidence that a task actually finished.
Read article →
