OpenAI Agents SDK v2.0: Major Update with Advanced Guardrails

Overview

OpenAI has released version 2.0 of the Agents SDK, introducing advanced guardrails, improved TypeScript support, and new agent orchestration patterns. This major update addresses feedback from the developer community and adds enterprise-grade features.

New Features

1. Advanced Guardrails System

The new guardrails system provides comprehensive safety controls:

from openai.agents import Agent, Guardrail, GuardrailResult

# Define content guardrails
content_guardrail = Guardrail(
    name="content_filter",
    check=lambda input: filter_content(input),
    on_violation="block"  # or "warn" or "modify"
)

# Define output guardrails
output_guardrail = Guardrail(
    name="output_validator",
    check=lambda output: validate_output(output),
    on_violation="retry"
)

agent = Agent(
    name="Research Agent",
    guardrails=[content_guardrail, output_guardrail]
)

Guardrail Types:

Content Filtering: Block harmful or inappropriate inputs
Output Validation: Ensure outputs meet quality standards
Rate Limiting: Prevent abuse and control costs
PII Detection: Automatically detect and redact personal information

2. Enhanced TypeScript Support

Full TypeScript support with:

Complete type inference for agent states
Generic agent types for type-safe tool parameters
Zod schema integration for runtime validation
Better IDE autocomplete and type hints

interface ResearchState {
  topic: string;
  sources: Source[];
  findings: Finding[];
}

const agent = new Agent<ResearchState>({
  name: "Research Agent",
  tools: [webSearch, documentReader],
  initialState: { topic: "", sources: [], findings: [] }
});

3. Agent Orchestration Patterns

New built-in orchestration patterns:

Pattern	Description	Use Case
Sequential	Execute agents in order	Pipelines, workflows
Parallel	Execute agents concurrently	Independent tasks
Hierarchical	Manager-worker hierarchy	Complex multi-step tasks
Consensus	Multiple agents vote on output	High-stakes decisions
Debate	Agents argue different positions	Analysis, evaluation

4. Improved Tool Calling

Automatic Retry: Retry failed tool calls with exponential backoff
Tool Chaining: Chain multiple tools with automatic state passing
Tool Caching: Cache tool results for repeated calls
Parallel Tool Calls: Execute independent tools in parallel

Performance Improvements

40% reduction in token usage for common patterns
50% faster tool call execution
60% smaller bundle size for TypeScript builds

Breaking Changes

Agent.run() now returns RunResult instead of raw response
Guardrails must be explicitly enabled (opt-in)
Deprecated agent.execute() in favor of agent.run()

Migration Guide

# Before (v1.x)
result = agent.execute(task="Research AI trends")

# After (v2.0)
result = agent.run(task="Research AI trends")
print(result.output)
print(result.usage)  # New: detailed usage tracking