Platform Availability and Access
The Agent Platform is available in multiple regions. See the Allowlist IPs section below for the platform URL for your region. To request access for your customers, partners, or prospects, contact Support.Platform Access and Allowlist of IPs
The Platform sends requests to a fixed set of IP addresses. If your systems use IP restrictions, then add the following IPs to your allowlist to permit Platform traffic.| Region | Region-specific URL | Allowlist IPs |
|---|---|---|
| USA | agent-platform.kore.ai | • 54.225.127.87 • 44.216.129.184 • 34.201.194.187 • Lambda IPs for code build: 52.7.57.24 |
| Germany | de-agent-platform.kore.ai | • 3.75.73.144 • 18.198.171.44 • 63.176.211.25 • Lambda IPs for code build: 52.57.41.155 |
| Japan | jp-agent-platform.kore.ai | • 18.180.133.211 • Lambda IP for code build: 18.179.141.6 |
Agentic App Setup Guide
Set up your Agentic App in four phases:Phase 1: Foundation
Get your workspace and core components ready.| Step | Description |
|---|---|
| 1. Sign Up | Create an account to get a dedicated workspace. Your existing workspaces appear automatically. To use a shared workspace, you need permission from its owner. Learn more → |
| 2. Configure an LLM | Choose and connect a large language model (LLM) — the intelligence that powers your agents. Supported providers: OpenAI, Azure OpenAI, Anthropic, Gemini. Learn more → |
| 3. Create an Agentic App | Start from scratch, import a pre-built app, or install one from the marketplace. Learn more → |
Phase 2: Configuration
Build your app’s agents, knowledge, and tools.| Step | Description |
|---|---|
| 1. Set Up Agents | Define each agent’s purpose and assign the tools and resources it needs to complete tasks. Learn more → |
| 2. Add Knowledge | Connect knowledge sources so agents can retrieve accurate, up-to-date answers. Sources can include FAQs, documents, databases, and external systems. The Platform uses RAG to search them. Learn more → |
| 3. Configure Tools | Tools let agents take action — fetching data, running logic, and triggering workflows. See the tool type matrix below to pick the right tool for your use case. Learn more → Workflow Tools, Code Tools, MCP Tools |
| 4. Configure Events | Events mark key moments in a conversation: welcome, agent handoff, end of session. Customize how your app handles each to keep interactions smooth and consistent. Learn more → |
Phase 3: Quality Assurance
Validate safety, accuracy, and performance before going live.| Step | Description |
|---|---|
| 1. Deploy Guardrails | Add input and output scanners to control what agents receive and send. This prevents unsafe, off-topic, or unexpected responses. Learn more → |
| 2. Test the App | Use the built-in simulator to submit queries and review responses. Catch errors and edge cases before your users do. Learn more → |
| 3. Evaluate Performance | Run structured evaluations in Evaluation Studio to measure response quality, spot coordination issues, and optimize agent behavior at scale. Learn more → |
Phase 4: Deployment
Go live and connect your app to your products.| Step | Description |
|---|---|
| 1. Deploy the App | Promote your tested app version to staging or production. Each deployment is structured and repeatable, ensuring only stable versions reach users. Learn more → |
| 2. Integrate | Connect your deployed app to your products and channels. Learn more → AI for Service, AI for Work |