Frequently Asked Questions

How does Agent Spec fit with other protocols like A2A and MCP?

While protocols like MCP and A2A standardize tool or resource provisioning as well as inter-agent communication, Agent Spec complements these efforts by enabling standardized configuration of underlying architecture and behavior of agents.

Check our positioning page for more information about the role of Agent Spec in the agentic ecosystem.

What types of assistants can I create using Agent Spec?

You can create two main types of assistants: Agents and Flows. Agents are conversational assistants that can perform tasks and ask follow-up questions, while Flows are workflow-based assistants that can be represented as a flow of steps.

What is the main difference between Agents and Flows?

Agents are more capable but less reliable and harder to run in production, while Flows are cheaper to run and easier to debug.

How do I serialize or deserialize my assistants?

You can use the APIs provided by PyAgentSpec to serialize and deserialize your assistants. You can use a few lines of code to serialize your assistant and load it in pyagentspec using a JSON file. See the API reference for more information.