This guide walks through creating an agent in the SeekrFlow UI.

Before you begin

• Decide which model to use – see Models for guidance on base models and fine-tuned deployments.
• If using file search, create a vector store first – see Create a vector store.

Create the agent

1. Navigate to Agent Builder > Agents in the sidebar.

2. Click Create Agent.

3. Enter the agent details:

   • Name – A unique identifier for the agent
   • Instructions – The system prompt that defines how the agent responds. Be specific about the task, expected behavior, and any constraints.
   • Reasoning mode – Choose based on your use case:
     • Speed-optimized – For straightforward tasks requiring quick responses
     • Performance-optimized – For complex tasks requiring deeper analysis

   For more on reasoning modes, see Agents.

4. Select a model:

   • Base models – Pre-trained models hosted on the SeekrFlow platform
   • Deployments – Your fine-tuned models (must have an active deployment)

5. Configure tools (optional). For available tools, see Tools. For each tool, provide tool instructions that tell the agent when to use it.

   If adding file search:

   1. Select a vector store containing your documents.
   2. Set Top K – Number of results to retrieve (5–10 for precision, 20–50 for broader coverage).
   3. Set Score threshold – Minimum similarity score (0.7–0.9 for strict relevance, 0.2–0.5 for exploratory searches).

6. Review your configuration and click Create Agent. The agent appears in your agents list with a Pending status while SeekrFlow provisions it. After a few minutes, the status changes to Active and the agent is ready to use.

Next steps

• Manage agents – Activate, deactivate, or modify agents
• Chat with an agent – Test your agent in Agent Chat