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2 changes: 1 addition & 1 deletion ai-agents/agent-builder/overview.mdx
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## Overview

Agent Builder provides the capability to create, configure, and customize AI agents directly within CometChat. It supports selecting models, integrating ready-to-use tools, APIs, and MCPs, and deploying agents without relying on any external management or orchestration platforms.

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<Note>
**Where AI Agents respond.** Agents created in Agent Builder respond only in one-on-one conversations between an end user and the agent user. They do not respond when added to a group, even as a member or owner. If your use case requires an agent in group conversations, share your requirements on [feedback.cometchat.com](https://feedback.cometchat.com).
**1:1 and group conversations.** AI Agents work in both one-on-one and group conversations. In a 1:1 chat, the end user talks directly with the agent user. In a group, the agent participates as a member — its messages are delivered and attributed like any other member's message. If the group contains only one user and one agent, the agent responds automatically. In groups with more than two members, the agent only responds when @mentioned.
</Note>

## Getting Started
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<Step title="Configure the agent" description="Set up capabilities.">
<p className="text-gray-600 dark:text-gray-300">
After creation, configure instructions, tools, and MCPs from the left-hand tabs. Detailed guidance lives in the <a href="/ai-agents/agent-builder/instructions">Instructions</a>, <a href="/ai-agents/agent-builder/tools/overview">Tools</a>, and <a href="/ai-agents/agent-builder/mcp/overview">MCP</a> sections.

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</p>
</Step>

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- Instructions define how your agent behaves, what it knows, and how it should respond. Use them to set tone, outline guardrails, and describe hand-off rules.
- The instructions editor supports `@` mentions so you can reference specific tools and MCP resources inline—this gives the agent unambiguous guidance about when to invoke each capability.

### Tools and MCPs

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- Attach tools for deterministic actions (custom APIs, Google Suite, or other integrations) and link MCP endpoints for richer context.
- You can embed any of these capabilities directly inside instructions using the `@` menu, ensuring the agent knows exactly when and how to rely on them.

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2 changes: 1 addition & 1 deletion ui-kit/ios/guide-ai-agent.mdx
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Integrate AI agents into your iOS app to provide intelligent conversational experiences with chat history, contextual responses, and seamless handoffs.

<Note>
**1:1 conversations only.** AI Agents currently respond only in one-on-one conversations between an end user and the agent user. They do not respond to messages sent in groups, even if the agent user is added as a member or owner. Group support is on the roadmap — share your use case on [feedback.cometchat.com](https://feedback.cometchat.com).
**1:1 and group conversations.** AI Agents work in both one-on-one and group conversations. In a 1:1 chat, the end user talks directly with the agent user. In a group, the agent participates as a member — its messages are delivered and attributed like any other member's message. If the group contains only one user and one agent, the agent responds automatically. In groups with more than two members, the agent only responds when @mentioned.
</Note>

<Frame>
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- Completed [Getting Started](/ui-kit/ios/getting-started) setup
- CometChat UIKit v5+ installed
- AI features enabled in your [CometChat Dashboard](https://app.cometchat.com)
- User logged in with `CometChatUIKit.login()`

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## Overview

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| Step | Action |
|------|--------|
| 1 | User selects AI agent from chat list |
| 2 | Detect agent by checking user role for "agentic" |

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| 3 | Launch `ProductionAIAgentViewController` |
| 4 | Configure header, message list, and composer |
| 5 | User sends message, AI responds with streaming |
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