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AI / Core OpenAI Codex Application Fundamentals Interview Questions

What is the OpenAI Agents SDK and what are its four core primitives?

The OpenAI Agents SDK (launched March 2025, evolved from the experimental Swarm project) is an open-source, lightweight framework for building multi-step agentic workflows on top of the Responses API and other providers. It is available for Python (openai-agents) and TypeScript.

Agents SDK four core primitives
PrimitivePurposeKey behaviour
AgentsAI models equipped with instructions and toolsExecute tasks, call tools, produce outputs
HandoffsDelegation mechanism between specialised agentsOne agent passes control to another better suited for a sub-task
GuardrailsInput/output validation layerValidate, filter, or block inputs/outputs before/after model calls
TracingBuilt-in observability for agent runsLogs all steps, tool calls, and decisions for debugging and evals
from agents import Agent, Runner

# Define an agent
coding_agent = Agent(
    name="CodingAgent",
    instructions="You are an expert Python developer. Write clean, tested code.",
    tools=[web_search_tool, code_interpreter_tool],
    model="gpt-5.5",
)

# Run the agent
import asyncio
result = asyncio.run(Runner.run(
    coding_agent,
    "Write a Python function that parses JWT tokens and validates expiry.",
))
print(result.final_output)

Provider agnostic: despite being OpenAI's SDK, it works with 100+ other LLMs via the Chat Completions API - including models from Anthropic, Mistral, and others via LiteLLM. This prevents vendor lock-in.

When to use Responses API vs Agents SDK: use the Responses API when a single model call with tools and your own application logic is sufficient. Use the Agents SDK when your application owns orchestration, tool execution, approvals, and state management across a multi-agent system.

What is the purpose of 'Handoffs' in the OpenAI Agents SDK?
Is the OpenAI Agents SDK limited to OpenAI models only?

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