One API. Any agent. Swap models, not code.
SentientOne is the agent platform we build and run. Create agents in a dashboard, connect them to your own systems, and call every one of them from a single endpoint.
An agent orchestration layer.
You create specialised agents in SentientOne — each with its own instructions, model and behaviour — then call them from your web app, mobile app or backend with one POST request.
Your application keeps the business logic. The platform holds the prompts, the model routing, the conversation state and the tool connections, so none of that has to live in your repo.
You handle the business logic. We handle the AI.
Custom agents
A specialised agent per task.
One API
A single endpoint for all of them.
Any model
GPT-4o, Claude and others.
Your infrastructure
Your keys, your data, your control.
Three steps to a working agent.
Dashboard, key, endpoint. Nothing to install in your application.
- 01
Create an agent
In the SentientOne dashboard, name the agent, write its system prompt, pick a model (GPT-4o, Claude, others), and set temperature and output format.
- 02
Get your API key
Copy the key from platform settings. That is how your application authenticates — one header, no SDK to install.
- 03
Call one endpoint
POST the agent ID and the user's message to /api/chat. SentientOne handles conversation history, prompt assembly and model routing, then returns the reply.
{
"agent_id": "your-agent-id",
"message": "What's the status of order ORD-1234?"
}
// Response
{
"response": "Order ORD-1234 shipped on March 2nd
via FedEx. Tracking number: 7891234567.
Expected delivery: March 5th.",
"agent": "order-agent",
"model": "gpt-4o",
"tokens_used": 142
}One endpoint. Any language. Any platform.
From customer chat to internal automation.
The same agent primitive, pointed at different jobs.
Connect AI to your APIs (MCP)
Expose your REST or gRPC APIs over the Model Context Protocol and let an agent call them as tools. The agent reads your live data instead of guessing.
Learn moreOrder management
An agent that looks up orders, tracks deliveries and answers customer questions by querying your MCP server behind the scenes.
Product search & recommendations
A product agent that searches your catalogue, returns pricing and specs, and suggests related items — from your own data, not the model's memory.
Customer support automation
A support agent grounded in your help docs, ticket system and policies. It handles the repeat questions and escalates the rest.
Learn moreInternal tools & workflows
Let teams query databases, generate reports or summarise documents by asking an agent. No new dashboard to build.
Multi-language, multi-platform
Call the API from React, Flutter, Python, .NET or Go — anything that can make an HTTP request.
Real-time streaming
For chat interfaces, the streaming endpoint returns the answer token by token instead of making the user wait for the full response.
Multi-turn conversations
Agents keep context within a conversation, so a follow-up question does not have to restate what came before.
The complexity stays out of your codebase.
No AI code in your app
Your application sends a message and gets a response. No model SDK, no prompt engineering, no token counting in your codebase.
One agent per task
Create focused agents — one for orders, one for products, one for support. Each is tuned for its own domain, so answers stay consistent.
Switch models without changing code
Move an agent from GPT-4o to Claude in the dashboard. Your application code does not change.
Your keys, your data
Each agent carries its own LLM API key, so you can track and cap cost per team or per use case.
Configure once, call from anywhere
Set an agent up once, then reach it from your web app, mobile app, Slack bot or internal tooling with the same agent ID.
OpenTelemetry built in
Every agent call emits OTLP traces and metrics. Send them to Datadog, Grafana, New Relic or any OTel-compatible backend.
Three agents, one endpoint.
How an e-commerce team splits the work across agents — all reached through /api/chat with different agent IDs.
- GPT-4oJSON
Order agent
Wired to order-management MCP tools. A customer asks "where is my order?" and gets current tracking detail.
- ClaudeText
Product agent
Wired to product-catalogue MCP tools. Shoppers search products, read specs and see related items.
- GPT-4oMarkdown
Support agent
Wired to help-desk MCP tools. Handles FAQs, returns policy questions and ticket lookups.
Ship an AI feature this week.
Start on SentientOne directly, or book a free 30-minute call and we will map the first agent worth building in your stack.
- 01Sign up for SentientOne
- 02Create your first agent
- 03Call the API
- 04Ship the feature