Assisted prompt engineering
Design structured instructions, variables, reasoning, and output schemas with AI assistance—then keep full control over every change.
Start with a prompt. Add models, knowledge, tools, evaluations, security, and observability. Amarsia gives you the production infrastructure to move from prototype to reliable AI product.
Design structured instructions, variables, reasoning, and output schemas with AI assistance—then keep full control over every change.
Publish confidently. Every prompt and configuration update is traceable and reversible.
Choose the right model per assistant. Switch providers without rebuilding your integration.
Turn documents and websites into reliable context for AI. Our vision enabled document processers makes each document into LLM ready knowledge instantly usable by its agents.
Supported sources
Domain-specific documents are transformed and optimized into a structure best for LLM. We've data processing algorithms tuned for:
Build executable tools as actions for your agent. Start with our integrations and templates, or connect any MCP server.
Define and pass any client capability as an available action to the model at runtime.
Catch hallucinations and quality failures. Get logs and alerts for every model call against your evaluation metrics.
Ship every iteration safely with predefined test cases. Bulk run tests to pressure-test your agent.
Inspect runs, latency, evaluation results, and action logs in one timeline. Iterate with confidence backed by data.
Model
Gemini 2.5
Latency
3.62s
Evaluations
4/4
Trigger agent
Trigger personalized agents via code from your backend or a secured link created in the dashboard.
Enterprise security
Protect prompts, responses, and enterprise data with encrypted infrastructure, deployment-level authentication, and domain allowlists for browser experiences.
Developer experience
React hooks for streaming, conversations, and client tools — or a typed JavaScript SDK for server applications.
Read the SDK quickstartimport { useAgent } from "@amarsia/react"
import client from "@/lib/amarsia"
const { agent, messages, status } = useAgent(client)
await agent.start({
content: [{ type: "text", text: "Help this customer." }],
})Discover what builders have to say about their Amarsia experience.
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