OpenAI Responses API

The OpenAI Responses API (released 2025) is the stateful successor to Chat Completions, designed for building agents. It maintains conversation state server-side, has built-in tools (web search, code interpreter, file search), and returns structured outputs. Replaces the older Assistants API with better performance and simpler design.

Evaluated Mar 10, 2026 (3d ago) vcurrent
Homepage ↗ Repo ↗ AI & Machine Learning openai responses-api stateful multi-turn tool-use web-search code-interpreter agent
⚙ Agent Friendliness
47
/ 100
Can an agent use this?
🔒 Security
88
/ 100
Is it safe for agents?
⚡ Reliability
N/A
Not evaluated
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
88
Error Messages
88
Auth Simplicity
--
Rate Limits
--

🔒 Security

TLS Enforcement
--
Auth Strength
--
Scope Granularity
--
Dep. Hygiene
--
Secret Handling
--

⚡ Reliability

Uptime/SLA
--
Version Stability
--
Breaking Changes
--
Error Recovery
--
AF Security Reliability

Best When

You want a fully managed agent loop with built-in tools and state management — without rolling your own orchestration layer.

Avoid When

You need full control over the agent loop, custom tool execution, or multi-provider flexibility.

Use Cases

  • Building stateful agents without managing conversation history client-side
  • Agents with built-in web browsing and web search capability
  • Code execution agents that can run Python in OpenAI's sandbox
  • File search and document analysis without managing vector stores manually
  • Multi-turn agent conversations with automatic context management

Not For

  • Stateless, single-turn completions (Chat Completions is simpler for this)
  • Teams not using OpenAI models
  • Applications needing custom tool execution on own infrastructure

Interface

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

Authentication

Methods: api_key oauth2
OAuth: Yes Scopes: Yes

Standard OpenAI API key authentication. Project-scoped keys for production. Same auth as all OpenAI APIs.

Pricing

Model: pay-per-use
Free tier: No
Requires CC: Yes

Tool costs add up in agent workloads. Budget per tool call. Response storage costs apply for long-lived sessions.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Documented

Known Gotchas

  • Response state is stored server-side — long-running sessions accumulate storage costs
  • Web search tool results are ephemeral — cache results in your own storage if reuse needed
  • Code interpreter sessions have time limits — long computations may timeout
  • Built-in tools cannot be combined with custom function tools in all configurations
  • Response truncation can cut off agent reasoning mid-step — set sufficient max_output_tokens
  • Newer API than Assistants — some Assistants features haven't been migrated yet
  • Stream events have different format than Chat Completions streaming

Alternatives

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Scores are editorial opinions as of 2026-03-10.

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