OpenAI Developers Profile picture
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-…

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with OpenAI Developers

OpenAI Developers Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @OpenAIDevs

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
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
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
Oct 11, 2024
We announced the Realtime API last week at DevDay SF. It's been amazing to see its adoption—here are some of the coolest examples we’ve seen so far. Let us know if we missed any in this thread!
Read 12 tweets
Oct 1, 2024
Today at DevDay SF, we’re launching a bunch of new capabilities to the OpenAI platform:
🗣️ Introducing the Realtime API—build speech-to-speech experiences into your applications. Like ChatGPT’s Advanced Voice, but for your own app. Rolling out in beta for developers on paid tiers. openai.com/index/introduc…
🗃️ Prompt Caching is now available. Our models can reuse recently seen input tokens, letting you add even more cached context into our models at a 50% discount and with no effect on latency. openai.com/index/api-prom…
Image
Read 8 tweets
Apr 17, 2024
Introducing a series of updates to the Assistants API 🧵

With the new file search tool, you can quickly integrate knowledge retrieval, now allowing up to 10,000 files per assistant. It works with our new vector store objects for automated file parsing, chunking, and embedding. Image
New token controls allow you to set maximum input and output tokens per run to manage costs. You can also choose how many recent messages to use for context truncation.

platform.openai.com/docs/assistant…
Support for tool choice lets you specify whether to use file search, code interpreter, or a particular function in a given run—increasing precision in your assistant’s operations.

platform.openai.com/docs/api-refer…
Read 4 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(