OpenAI Agents SDK

OpenAI's official Python SDK for building multi-agent systems — provides agents, tools, handoffs, tracing, and native MCP integration with a minimal, production-ready API.

Evaluated Mar 06, 2026 (0d ago) vcurrent
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⚙ Agent Friendliness
86
/ 100
Can an agent use this?
🔒 Security
87
/ 100
Is it safe for agents?
⚡ Reliability
79
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
85
Documentation
88
Error Messages
82
Auth Simplicity
90
Rate Limits
82

🔒 Security

TLS Enforcement
100
Auth Strength
85
Scope Granularity
75
Dep. Hygiene
90
Secret Handling
88

Official OpenAI SDK with clean, minimal dependency tree. MIT licensed. Secrets via environment variables. MCP security depends on individual server configurations. Guardrails built-in for output safety.

⚡ Reliability

Uptime/SLA
82
Version Stability
78
Breaking Changes
75
Error Recovery
80
AF Security Reliability

Best When

You're building with OpenAI models and want an official, opinionated framework with handoffs, tracing, and MCP integration out of the box.

Avoid When

You need to run on Anthropic, Gemini, or open models — this SDK only supports OpenAI API-compatible endpoints.

Use Cases

  • Building multi-agent systems where agents hand off tasks to specialized sub-agents
  • Creating tool-using agents with structured inputs and guardrails
  • Orchestrating OpenAI model calls with built-in tracing and observability
  • Native MCP server integration to give agents access to external tools
  • Customer service, coding assistant, and research agent workflows

Not For

  • Non-OpenAI LLM providers (SDK is OpenAI-specific; use PydanticAI or LangChain for multi-provider)
  • Simple single-call LLM tasks (direct openai.chat.completions is simpler)
  • Teams that need to avoid OpenAI vendor lock-in

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
Yes
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

Uses OpenAI API key (OPENAI_API_KEY environment variable). MCP server connections use each MCP server's own auth. No separate SDK auth layer.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

SDK is free. All costs are OpenAI API token costs for model calls made by your agents.

Agent Metadata

Pagination
none
Idempotent
No
Retry Guidance
Documented

Known Gotchas

  • Only works with OpenAI API-compatible endpoints — hard to switch LLM providers
  • Handoffs are one-way — once an agent hands off, the original agent doesn't get the result
  • MCP connections are per-agent — each agent needing MCP must configure its own connection
  • Streaming requires special handling — output is streamed per-event, not as final result
  • Guardrails run as separate LLM calls — doubles cost for checked operations

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for OpenAI Agents SDK.

$99

Scores are editorial opinions as of 2026-03-06.

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Packages Evaluated
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