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OpenAI Developers Profile picture
@OpenAIDevs
Mar 26 • 1 tweets • 1 min read • Read on X
MCP 🤝 OpenAI Agents SDK

You can now connect your Model Context Protocol servers to Agents:

We’re also working on MCP support for the OpenAI API and ChatGPT desktop app—we’ll share some more news in the coming months.openai.github.io/openai-agents-…

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More from @OpenAIDevs

OpenAI Developers Profile picture
Jun 3
We’re rolling out a few updates to Codex today:

1. Codex is rolling out to ChatGPT Plus users today. It includes generous usage limits for a limited time, but during periods of high demand, we might set rate limits for Plus users so that Codex remains widely available.
2. Next, our top requested feature: You can now give Codex access to the internet during task execution to install base dependencies, run tests that need external resources, upgrade or install packages needed to build new features, and more.
3. Internet access is off by default, and can be enabled when creating a new environment or by editing an existing one. You have full control over the domains and HTTP methods Codex can use during task execution. Learn more about usage and risks in the docs: platform.openai.com/docs/codex/age…Image
Read 5 tweets
OpenAI Developers Profile picture
Jun 3
🆕 Four updates to building agents with OpenAI: Agents SDK in TypeScript, a new RealtimeAgent feature for voice agents, Traces support for the Realtime API, and improvements to our speech-to-speech model.
The Agents SDK is now available in TypeScript and supports handoffs, guardrails, tracing, MCP, and other core agent primitives, just like the Python version.

openai.github.io/openai-agents-…Image
It includes new support for human-in-the-loop approvals, allowing you to pause tool execution, serialize and store the agent state, approve or reject specific calls, and resume the agent run.

openai.github.io/openai-agents-…
Read 11 tweets
OpenAI Developers Profile picture
Apr 23
Image gen is now available in the API!

We’re launching gpt-image-1, making ChatGPT’s powerful image generation capabilities available to developers worldwide starting today.

✅ More accurate, high fidelity images
🎨 Diverse visual styles
✏️ Precise image editing
🌎 Rich world knowledge
🔤 Consistent text rendering

Check out the guide to start building: platform.openai.com/docs/guides/im…Image
You can also use gpt-image-1 in the Playground to quickly iterate on prompts and images: platform.openai.com/playground/ima…
We’ve been collaborating closely with developers to understand where image gen can be most useful in the real world. Here are some examples from early adopters across domains like creative tools, consumer apps, enterprise software, and more below. 👇
Read 9 tweets
OpenAI Developers Profile picture
Mar 11
We're launching new tools to help developers build reliable and powerful AI agents. 🤖🔧

Timestamps:
01:54 Web search
02:41 File search
03:22 Computer use
04:07 Responses API
10:17 Agents SDK
Our new API primitive: the Responses API. Combining the simplicity of Chat Completions with the tool-use of Assistants, this new foundation provides more flexibility in building agents. Web search, file search, or computer use are a couple lines of code!

platform.openai.com/docs/quickstar…
🔎 Web search—integrate with a few lines of code and your agent can get up-to-date answers from the web (with citations).

Available in preview: platform.openai.com/docs/guides/to…Image
Read 7 tweets
OpenAI Developers Profile picture
Feb 13
We’ve put together some best practices on using our o-series models:

🤔 Differences between our reasoning and non-reasoning models
💡 When to use reasoning models
💬 How to approach prompting reasoning models effectively
GPT models focus on fast, cost‑efficient, straightforward task execution—“the workhorses.” 🐎

o‑series models excel at handling ambiguous, multi‑step tasks in domains such as math, engineering, legal, and finance—“the planners.” 🧠
Use o-series models to process unstructured data, find a needle in a haystack, improve code, or handle other complex tasks. For example, o1’s vision capabilities can analyze detailed architectural drawings. In this image, o1 recognized that “PT” wood posts were pressure-treated. Image
Read 4 tweets
OpenAI Developers Profile picture
Jan 17
We’ve put together a reference implementation for building and orchestrating agentic patterns using the Realtime API. You can use this repo to prototype a voice app using multi-agent flows in less than 20 minutes!

github.com/openai/openai-…
Building with the Realtime API can be complex because of the low-latency, synchronous nature of voice interactions. This repo includes best practices we’ve learned for managing this complexity, like:

- Orchestrating agent handoffs (inspired by Swarm)
- Background escalation to o1 for advanced decision making
- Improving model instruction following by defining a state machine in the prompt
- Demos of applying these patterns to customer service and front desk use cases
It also includes a meta-prompt to make it fast and easy to define new agents with a range of personalities, and uses the newer, simpler WebRTC interface.
Read 4 tweets

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