Introducing Nimblesite - Rock-solid agent infrastructure in minutes

Every product team we talked to in the last twelve months was building the same thing:

• A messages table to store conversations
• A conversation memory model
• A loop that parses tool calls, dispatches them, and feeds the results back
• A prompt templating system
• Per-tenant API key auth
• A way to switch providers when one goes down
• Prepaid usage controls so model and workspace spend cannot run away
• Logging, audit, replay

None of that is anyone's product. All of it is on them.

Nimblesite is that stack, as a service.

What it is

You POST one JSON config:

{
  "name": "Site Editor",
  "system_prompt": "You edit websites for {tenant_name}.",
  "model_config": {"provider": "anthropic", "model": "claude-sonnet-4-6"},
  "tools_config": ["read_file", "write_file"]
}

You get back a config_id. From then on, your app calls:

curl -X POST /api/v1/chat/$CONFIG_ID \
  -H "X-API-Key: $KEY" \
  -d '{"message": "Hi"}'

Memory, the agent loop, tool dispatch, multi-tenancy, prompt templating, model routing — all already wired up. You send a message, you get an answer. The next call already remembers what happened.

What it isn't

• Not a framework. You don't import anything to start. It's a direct HTTP API with OpenAPI, Swagger UI, and ReDoc available today. SDKs for every major platform will be released.
• Not a tool runtime. We never execute your tools. The agent decides what to call; your app runs it. Your data, your APIs, your secrets stay in your trust boundary.
• Not a raw model wrapper. We run inference, track provider churn, and charge from a prepaid balance so spend stays bounded.
• Not a chatbot product. It's the backend you'd build if you were going to build a chatbot. Put a chat widget on top of it in an afternoon — or use it headless for agentic workflows.

Why this, why now

Three things collided:

1. Almost every AI use case is agentic now. A one-shot completion is rare. Customers expect memory, tools, follow-ups, multi-turn flow. That means an agent loop — and nobody on your team signed up to write one.
2. LLM APIs are still stateless. None of them store your conversation for you. The state problem is unsolved at the API layer, on purpose.
3. The model landscape moves every week. A new frontier model, a new SDK, a new pricing tier, a new tool-call schema. Keeping up is a full-time job.

Nimblesite handles all three. Configure once, talk forever, and when the next model drops you change one line of JSON.

It also gives you a sane commercial boundary: prepaid, predictable, metered pricing. Empty balance stops the next billable call before vendor cost is incurred.

Try it

Nimblesite is a proprietary hosted API. Create your free account, grab an API key, and POST JSON — there is nothing to clone, install, or run.

Sign up free → Read the quickstart

• Quickstart — Get from zero to a working agent in under 5 minutes.
• Pricing — Prepaid, predictable metered usage. Roughly 2× the underlying AI and container cost, with monthly prepaid plans possible later.

Two HTTP calls and you have a working agent in your product. Production templates help you start from a real pattern instead of a blank config. That's the pitch.