Launch an embedded product copilot
Lives inside your app, uses your real data, and runs on a managed agentic backend.
Connect tools & data
Expose your existing APIs, DB queries, and services as tools.
Define the copilot in TypeScript
Model the agent's behavior, tools, and guardrails as TypeScript code.
Embed in your product UI
Call the copilot via SDK / HTTP and render it in your app panel.
import { workflow, llm } from '@calljmp/agent';
function run(input: { question: string }) {
return workflow.phase('Answer question', () =>
llm.generate({
input: [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: input.question },
],
tools: [
llm.tool({
name: 'getUserData',
execute: () => fetch('/api/user').then(r => r.json()),
}),
],
})
);
}Turn copilot project into a foundation for AI across your organization
Later, run support, marketing, and finance agents on the same backend - reusing tools, memory, and evals
Where Calljmp sits in your architecture
See how Calljmp integrates into your existing system and what responsibilities each side owns.
You own
- Product UI & UX
- Business logic, APIs, database
- Data models & permissions
Calljmp owns
- Agent execution & scaling
- State, retries, timeouts, HITL
- Traces, logs, metrics, cost tracking
- Keep your backend clean
- Your app backend stays focused on product logic, not LLM plumbing and long-running jobs.
- Offload agent complexity
- Calljmp handles agent execution, state, retries, timeouts, and HITL on a managed backend.
- Connect all your systems
- Agents call your vetted APIs, databases, and services as tools through a single agentic backend.
Layered agentic AI design
Build AI applications with a layered architecture enabling flexibility and freedom to choose the best tools for your needs at each layer. Build agents using high-level abstractions or get granular control over every component.
Lower costs & better control
Eliminate multiple AI tool subscriptions and centralize orchestration, context, and data in one place.
Faster delivery
Move from prototype to production 10x faster with zero-config deployment on Cloudflare Edge.
Secure by design
Keep sensitive data and context within your environment - not in third-party services.
Platform for devs and ops
Developers write logic once in TypeScript; business teams get visibility, observability, and scalability from day one.
Build, run, and scale faster with edge-native orchestration
Build AI agents and workflows as code directly in TypeScript, deploy them instantly to the Cloudflare Edge, and connect to your data sources with zero configuration.
Memory
Persistent and queryable context, shared across agents. Durable storage with zero cold starts.
Knowledge
Attach domain data to any agent using built-in vector and hybrid search. Works with your own documents, APIs, or databases.
Reasoning
Design complex multi-step logic as code, with observability at every phase. View traces, logs, and outputs directly from the Calljmp dashboard.
Human in the loop
Integrate approvals, manual feedback, and reviews into any agent flow. Seamlessly combine automation and oversight without extra infrastructure.
Trusted by developers
Accelerate AI-enabled app development with TypeScript - defined agents and workflows.
Pricing
Flexible pricing for AI agents and workflows as code. Stary with shared request pools, then pay only for what you use.
Agent requests
Each API call to your AI agents
Price
$0.01
Included
Solo: 1,000/month · Pro: 10,000/month
Dataset queries
RAG and vector database queries
Price
$0.01
Included
Solo: 1,000/month · Pro: 10,000/month
LLM tokens
AI model inference (1,000 tokens)
Price
$0.011
Included
Included in requests
Workflow phases
Multi-step workflow executions
Price
Free
Included
Unlimited
From our blog
Insights, tutorials, and stories from the world of AI agents and workflows as code. Learn how to build better apps with less complexity.
Frequently asked questions
Find answers to common questions about Calljmp's features, pricing, and capabilities.