Pay providers directly
Use your own Anthropic, OpenAI, or OpenRouter account. Neo does not add a model markup on top.
Bring Your Own LLM Keys
Run Neo through your own Anthropic, OpenAI, or OpenRouter account. You control the model, usage, limits, and billing. Neo handles the AI engineering workflow.
No bundled model layer
Connect your own provider key and run tasks through the account you already use.
Every request is routed through your provider setup, so your model usage, limits, and spend stay under your control.
No hidden markup. No opaque model billing. No forced model stack.
Video
Watch how to connect your provider key and start running Neo with your own model account.
Problem
When the model layer is hidden inside a platform, it becomes harder to track usage, compare providers, enforce limits, or understand what each run is actually costing.
Neo keeps the model layer separate. Your provider account stays the source of truth for usage and billing.
Neo's Angle
Use Neo to plan, execute, debug, evaluate, and iterate on AI engineering tasks while keeping model access under your own provider account.
Use your own Anthropic, OpenAI, or OpenRouter account. Neo does not add a model markup on top.
Your model requests run through your provider setup, so usage remains visible in your own dashboard.
Manage limits, keys, access, and spend from the provider account you already trust.
How It Works
Add your provider key in Neo settings.
Choose Anthropic, OpenAI, or OpenRouter.
Run Neo tasks using your own model account.
Neo still manages the workflow. Your provider handles the model usage and billing.
Providers
Supported providers are clearly shown upfront. No hidden routing. No bundled model layer.
Use your Claude API key directly in Neo for coding, reasoning, and AI engineering workflows.
Use your OpenAI API key for Neo tasks while keeping model usage visible in your account.
Route Neo through OpenRouter when you want access to multiple models from one provider dashboard.
Trust
Install Neo in your editor, add your provider key, and start running AI engineering tasks with your own LLM setup.