Create an Agent
Build agents that handle specific tasks within your agentic app.Prerequisites
- An existing agentic app
- At least one AI model configured with tool-calling support
Create the Agent
From the App Overview
- Open your agentic app
- In the Agents section, click + New Agent
- You’ll be taken to the agent configuration page
Configure Agent Profile
The profile establishes your agent’s identity and operational parameters.Name
Choose a clear, descriptive name that reflects the agent’s function.Description
Write a description that helps the orchestrator understand when to route requests to this agent. Be specific about capabilities.Avatar
Select a visual identifier for the agent. This appears in:- The agent management interface
- Conversation logs and debugging views
- Customer-facing interfaces (if configured)
AI Model
Choose the model that powers this agent’s reasoning. Consider:| Factor | Recommendation |
|---|---|
| Complex reasoning | GPT-4, Claude 3 Opus |
| Fast responses | GPT-3.5-turbo, Claude 3 Haiku |
| Code generation | GPT-4, specialized code models |
| Cost sensitivity | Smaller models for simple tasks |
Context Window Limit
Set how many conversation messages the agent retains.| Messages | Use Case |
|---|---|
| 25 | Simple Q&A, transactional tasks |
| 50 | Standard conversations (default) |
| 100 | Multi-step processes |
| 200 | Complex, long-running workflows |
Define Agent Scope
The scope establishes boundaries for what tasks this agent handles.Writing Effective Scope
Be explicit about:- What the agent does — List specific capabilities
- What it doesn’t do — Clarify boundaries
- Handoff conditions — When to transfer to other agents
Write Instructions
Instructions define how the agent behaves and responds.Structure
Example Instructions
Add Tools
Tools enable your agent to take actions and retrieve data.Adding Tools
- In the agent configuration, navigate to Tools
- Click + Add Tool
- Choose to:
- Create new — Build a tool specific to this agent
- Import existing — Use a tool from the tools library
Tool Configuration
For each tool, ensure:- Name is descriptive and unique
- Description clearly explains what it does (the LLM uses this)
- Parameters are well-documented with types and examples
Connect Knowledge
Link knowledge sources for RAG-powered responses.Adding Knowledge
- Navigate to Knowledge in agent configuration
- Click + Connect Knowledge
- Select a Search AI application or create a new one
Knowledge Sources
| Source | Best For |
|---|---|
| Documents | Policies, guides, FAQs |
| Web crawler | Website content, help centers |
| Confluence | Internal documentation |
| SharePoint | Enterprise content |
| Custom API | Dynamic data sources |
Test the Agent
Validate your agent before deployment.Test Conversations
- Click Test in the agent toolbar
- Simulate user conversations
- Verify:
- Correct tool selection
- Appropriate knowledge retrieval
- Response quality and tone
Test Cases to Cover
Save and Deploy
- Click Save to preserve your configuration
- Run Diagnostics to validate all dependencies
- Publish your app to make the agent live