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