Jalebi is the platform that sits between “we built an agent” and “we trust it with production traffic, real cost controls, and our compliance requirements.” No AI infrastructure team required.
Built on Amazon Bedrock AgentCore.
What happens when it goes from 10 users to 10,000 — who's paying for it, and does your infrastructure survive without a rebuild or a runaway bill?
A six-level quota chain — org, workspace, user, API key, customer, agent — caps spend and attributes cost automatically. Give finance a budget and marketing a separate one; both get warned before they hit it. Most agent-building tools have no concept of this.
Every conversation runs in its own isolated instance on serverless infrastructure. When one account's limits become the ceiling, workspaces already span multiple accounts — a real design iteration we went through ourselves before any customer could hit that wall.
Deploy entirely inside your own cloud account. Zero data leaves your network. Same console, same features, same guardrails — just running where your compliance team can see it.
When an agent writes to your CRM or sends an email, the system on the other end should know whether a person did it or an agent did it for them — and which person. Most agent tools send one service account and the trail ends there. We're building the delegation chain in, so your audit log still names a human.
Identity and cost attribution travel in headers, the conversation travels in the body — so metering never gets tangled up with what your user actually said. Take the answer as JSON, or watch the agent work over AG-UI.
curl -X POST https://api.jalebi.chat/agents/agt_xyz/invoke \
-H "Authorization: Bearer jc_sk_..." \
-H "X-Jalebi-User-Id: user_42" \
-H 'X-Jalebi-Tags: {"dept":"support"}' \
-d '{
"message": "Where is my order?",
"sessionId": "ses_abc",
"context": { "account_tier": "premium" }
}'{
"success": true,
"data": {
"response": "Your order shipped Tuesday.",
"sessionId": "ses_abc",
"metadata": {
"model": "mistral.ministral-3-14b-instruct",
"latency": 1430
}
}
}One request, one answer. The agent still looked up the order and still kept the session — you just did not have to watch it happen.
curl -X POST \
"https://api.jalebi.chat/agents/agt_xyz/connect?protocol=agui" \
-H "Authorization: Bearer jc_sk_..."
# -> { "paths": { "sse": "/invocations", "ws": "/ws" },
# "token": "eyJhbGci...", "expiresIn": 900 }data: {"type":"RUN_STARTED","threadId":"ses_abc"}
data: {"type":"TOOL_CALL_START","toolName":"lookup_order"}
data: {"type":"TOOL_CALL_RESULT","result":{"status":"shipped"}}
data: {"type":"TEXT_MESSAGE_CONTENT","delta":"Your order "}
data: {"type":"TEXT_MESSAGE_CONTENT","delta":"shipped Tuesday."}
data: {"type":"RUN_FINISHED","threadId":"ses_abc"}Your app opens that path with the token and talks straight to the agent — we issue the credential, we are not in the data path. Take wsinstead when several clients should watch one run, or ask for protocol=mcp and get those paths back.
X-Jalebi-User-IdWho it is for. Drives per-user quotas and puts a name on the cost.
X-Jalebi-TagsHow to group it. Chargeback by department, project, or customer.
contextWhat the agent should know. Injected at runtime, never in your prompt.
The same agent is reachable over MCP for IDEs like Claude Desktop and Cursor, and over A2A for other agents. One deployment, no adapters needed.
Every agent Jalebi deploys is a real Amazon Bedrock AgentCore resource in your own AWS environment. We didn't build a new runtime to bet your business on — we built the console, the governance, and the guardrails that AgentCore itself doesn't provide out of the box.
Think Vercel or Shopify to AWS's raw infrastructure: same underlying platform, but with the operational layer a business actually needs to run it — without hiring a team to build that layer first.
See the full platform →Jalebi is early, and we would rather be precise about that than impressive about it. The platform is built — the quota chain, multi-account workspaces, and BYOC deployment above are implemented and covered by several thousand tests. What they are not yet is battle-tested by production traffic. Our own first app, live cricket scoring for a club that is ready to use it, is the next thing we put on the platform, specifically so we are not asking you to be our first production customer. If you want a platform whose team will tell you plainly what is proven and what is merely written, we'd like to talk.
Your agents. Your data. Your rules. Zero infrastructure to manage.
jalebi.chat — AI agent platform for teams that need to trust what they ship