Overview
RelayHub provides two ways to create agents: the Agent Builder, which generates a full agent configuration from a natural language description, and the manual editor, which gives you control over every setting. Both produce the same result — a fully configured agent ready to use in chat.Using the Agent Builder
The Agent Builder is an AI-assisted wizard that creates agents from a plain English description of what you need.Open the Builder
Navigate to Agent Hub and click New Agent. Select Use Agent Builder at the top of the creation form.
Describe your agent
Write a natural language description of what you want the agent to do. Be specific about the domain, tone, and tasks. For example: “A customer support agent that answers questions about our SaaS product using our help center docs. It should be friendly but concise, and always suggest relevant documentation links.”
Review the generated configuration
The Builder produces a system prompt, suggested model, recommended tools, and tags based on your description. Review each section and adjust anything that does not match your intent.
Manual Configuration
If you prefer full control, the manual editor lets you configure each aspect of the agent directly.System Prompt
The system prompt defines the agent’s personality, domain expertise, and behavioral rules. This is the most important part of the configuration — it determines how the agent responds in every conversation. Write your system prompt as clear instructions. Include:- Role definition — who the agent is and what it specializes in
- Behavioral rules — tone, formatting preferences, things to avoid
- Domain context — terminology, processes, or constraints the agent should know
The system prompt is injected at the start of every conversation with this agent. Keep it focused. Overly long prompts can dilute the model’s attention on the parts that matter most.
Model Selection
Choose which LLM powers the agent. Different models have different strengths:| Use Case | Recommended Model |
|---|---|
| General conversation | GPT-5-mini, Claude Sonnet 4.5 |
| Complex reasoning and analysis | GPT-5.1, Claude Opus 4.5 |
| Fast, low-cost responses | GPT-5-nano, Gemini 3 Flash |
| Coding and technical tasks | GPT-5.2, Claude Sonnet 4.5 |
Attaching Files and Knowledge
Agents can have files permanently attached to their configuration. These files are included as context in every conversation with the agent — the user does not need to upload them manually. Common use cases:- Product documentation for a support agent
- Style guides for a content writing agent
- Financial templates for an analysis agent
- Code standards for a review agent
Enabling Tools
Toggle which tools the agent can use during conversations. Available tools include document reading, spreadsheet querying, image analysis, data visualization, file creation, and web search. Only enable tools the agent actually needs — unnecessary tools can lead to the model attempting actions that are not relevant to the task.Tags
Add tags to categorize your agent for easy discovery in the Agent Hub. Tags like “Sales”, “Engineering”, “Onboarding”, or “Legal” help team members find the right agent quickly.Setting Scope
Choose whether the agent is personal, company-wide, or workspace-specific. See Agent Hub for details on each scope level.Testing Your Agent
After saving, open a new chat and select your agent. Run through a few representative scenarios to verify the system prompt produces the behavior you expect. Pay attention to:- Does the agent stay in character and follow its instructions?
- Does it use attached files when answering relevant questions?
- Does it invoke the right tools at the right time?