# ⚡️ Latent Space - The new OpenAI Agents Platform

By Corey J. Gallon · 2025-03-20 · https://gallon.me/latent-space-the-new-openai-agents-platform.html

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OpenAI have dropped their new Agents Platform.  Swyx and Alessio chat with Nikunj Handa and Romain Huet of OpenAI to discuss the release.

# [Episode Show Notes](https://share.snipd.com/episode/0a578189-7b37-4981-945e-a9cd8618f4d7)
    
> While everyone is now repeating that   2025 is the “Year of the Agent”,   OpenAI is heads down building towards it. In the first 2 months of the year they released  Operator  and  Deep Research  (arguably the most successful agent archetype so far), and today they are bringing a lot of those capabilities to the API:
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> *  Responses API 
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> *  Web Search Tool 
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> *  Computer Use Tool 
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> *  File Search Tool 
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> * A new open source  Agents SDK  with integrated  Observability Tools 
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> We cover all this and more in today’s lightning pod on  YouTube !
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>
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> More details here:
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> Responses API 
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> In our  Michelle Pokrass episode  we talked about the Assistants API needing a redesign. Today OpenAI is launching the Responses API, “a more flexible foundation for developers building agentic applications”. It’s a superset of the chat completion API, and the suggested starting point for developers working with OpenAI models. 
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> One of the big upgrades is the new set of built-in tools for the responses API: Web Search, Computer Use, and Files. 
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> Web Search Tool
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> We previously had  Exa AI  on the podcast to talk about web search for AI. OpenAI is also now joining the race; the Web Search API is actually a new “model” that exposes two 4o fine-tunes: gpt-4o-search-preview and gpt-4o-mini-search-preview. These are the same models that power ChatGPT Search, and are priced at $30/1000 queries and $25/1000 queries respectively. 
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> The killer feature is inline citations: you do not only get a link to a page, but also a deep link to exactly where your query was answered in the result page. 
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> Computer Use Tool
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> The model that powers Operator, called Computer-Using-Agent (CUA), is also now available in the API. The computer-use-preview model is SOTA on most benchmarks, achieving 38.1% success on OSWorld for full computer use tasks, 58.1% on WebArena, and 87% on WebVoyager for web-based interactions.
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> As you will notice in the docs, `computer-use-preview` is both a model and a tool through which you can specify the environment. 
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> Usage is priced at $3/1M input tokens and $12/1M output tokens, and it’s currently only available to users in tiers 3-5.
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> File Search Tool
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> File Search was also available in the Assistants API, and it’s now coming to Responses too. OpenAI is bringing search + RAG all under one umbrella, and we’ll definitely see more people trying to find new ways to build all-in-one apps on OpenAI. 
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> Usage is priced at $2.50 per thousand queries and file storage at $0.10/GB/day, with the first GB free.
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>
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> Agent SDK: Swarms++!
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> https://github.com/openai/openai-agents-python 
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> To bring it all together, after the viral reception to  Swarm , OpenAI is releasing an officially supported agents framework (which was  previewed at our AI Engineer Summit ) with 4 core pieces:
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> *  Agents : Easily configurable LLMs with clear instructions and built-in tools.
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> *  Handoﬀs : Intelligently transfer control between agents.
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> *  Guardrails : Configurable safety checks for input and output validation.
>
> *  Tracing  utm_campaign=CTA_4">www.latent.space/subscribe

## New OpenAI Agent Tools & APIs

[🎧 Play snip - 2min (00:40 - 02:21)](https://share.snipd.com/snip/11874635-3b11-43c2-b325-865bc0dfe11f)

- OpenAI is launching three new built-in tools: a web search tool (ChatGPT for search in the API), a file search tool (upload, parse, chunk, embed, and search your data), and a computer use tool (powering the Operator product in ChatGPT).
- They are also launching a new Responses API to support these tools, replacing the older ChatCompletions API and designed for future agentic products.
- Finally, they are releasing an upgraded Agents SDK (formerly Swarm) with built-in tracing in the OpenAI dashboard for multi-agent orchestration.

    

## Responses API: A Unified and Flexible Approach

[🎧 Play snip - 4min (02:41 - 06:16)](https://share.snipd.com/snip/253a86c0-2eeb-41a1-ba98-809732b236ed)

- The Responses API is a new, more flexible API from OpenAI, superseding the Chat Completions and Assistants APIs.
- It's designed for agentic workflows, supporting longer, multi-turn tasks and tool use.
- While Chat Completions remains available, Responses API offers a unified endpoint with broader capabilities.
- It incorporates features from the Assistants API, like convenient tool access, while simplifying integration.
- Responses API also offers stateless mode for compatibility with Chat Completions use cases.

    

## GPT-4 with Search Preview Performance

[🎧 Play snip - 9sec (08:09 - 08:19)](https://share.snipd.com/snip/e3540f28-cf78-4d97-adac-b06eb8c65da2)

- OpenAI's web search API uses a GPT-4 model fine-tuned specifically for search, named GPT-4.0 Search Preview.
- GPT-4.0 with search has significantly better performance than the base model.
- Simple QA accuracy jumps from 38% with the base GPT-4 to 90% with the search-tuned model.

    

## Computer Use Tool

[🎧 Play snip - 2min (18:16 - 20:08)](https://share.snipd.com/snip/12ba5e97-028f-428c-9923-1a755b311ed8)

- OpenAI's Computer Use tool empowers developers to build agents that can complete tasks using a computer or browser.
- This tool utilizes a custom model optimized for computer use, enabling agents to interact with the screen by clicking, scrolling, typing, and reporting back.
- By wrapping this functionality as a tool within the Responses API, developers can automate tasks and create multi-turn interactions where agents can execute complex actions over time.

    

## DIY vs. OpenAI for Vector Search

[🎧 Play snip - 1min (17:03 - 18:33)](https://share.snipd.com/snip/bd43ef3c-7c0b-4298-a56c-1e7c8db23c0d)

- If starting from scratch, you'll have more control over chunking and retrieval strategies.
- OpenAI's tool provides an out-of-the-box managed service with customization options.
- Start with OpenAI's solution and see if it meets your needs.
- They plan to add more customization features over time.
- Consider hand-rolling with other solutions if you require complete control.

    

## OpenAI Agent SDK

[🎧 Play snip - 3min (21:34 - 24:28)](https://share.snipd.com/snip/14b11275-7f9d-4d62-a9d5-4eb1af461d78)

- OpenAI's new Agent SDK simplifies building and managing agents in production.
- It supports type checking, guardrails for safer execution, and tracing for monitoring agent behavior.
- The SDK is flexible, allowing integration with various chat completion APIs and tracing providers.
- It leverages the 'handoff' technique popularized by Swarm, enabling complex agent workflows.
- Combined with new tracing UIs in the OpenAI dashboard, developers can effectively troubleshoot and optimize their agent interactions.
