Agent Studio User Guide

Design, test, publish, deploy, and monitor AI agents and multi-step workflows with tools, knowledge, schemas, runs, and endpoints.

Who This Guide Is For

Where To Go

Page Use It For
/agentstudio Agent Studio overview.
/agentstudio/agents Agent catalog.
/agentstudio/workflows Workflow builder and workflow list.
/agentstudio/tools Tool registry.
/agentstudio/knowledge Knowledge sources for agents.
/agentstudio/schemas Input/output schemas.
/agentstudio/runs Execution history.
/agentstudio/endpoints Deployed agent endpoints.
/agentstudio/templates Reusable agent and workflow templates.
/agentstudio/analytics Usage and performance analytics.

Core Concepts

Concept Meaning
Agent A configured AI worker with model, instructions, tools, memory, and policies.
Workflow A graph or sequence of steps that coordinates agents, tools, and decisions.
Tool An action the agent can call, such as API access, retrieval, or platform operation.
Run One execution with inputs, trace, outputs, and status.
Endpoint A deployed callable interface for an agent or workflow.

Common Workflows

Build and test an agent

  1. Create an agent.
  2. Choose model, system instructions, and tools.
  3. Attach knowledge if needed.
  4. Define schemas and safety settings.
  5. Run test conversations or workflow runs.
  6. Review traces and outputs.
  7. Publish or deploy when quality is acceptable.

Debug a failed run

  1. Open Runs.
  2. Select the failed run.
  3. Review step trace, tool calls, inputs, outputs, and errors.
  4. Update prompt, schema, tool config, or knowledge source.
  5. Run again with the same test case.

Best Practices