Comment by swyx | Hacker News Reader

Comment by swyx | Hacker News Reader

swyx here. we got some preview and time with the API/DX team to ask FAQs about all the new APIs.

https://latent.space/p/openai-agents-platform

main fun part - since responses are stored for free by default now, how can we abuse the Responses API as a database :)

other fun qtns that a HN crew might enjoy:

- hparams for websearch - depth/breadth of search for making your own DIY Deep Research

- now that OAI is offering RAG/reranking out of the box as part of the Responses API, when should you build your own RAG? (i basically think somebody needs to benchmark the RAG capabilities of the Files API now, because the community impression has not really updated from back when Assistants API was first launched)

- whats the diff between Agents SDK and OAI Swarm? (basically types, tracing, pluggable LLMs)

- will the `search-preview` and `computer-use-preview` finetunes be merged into GPT5?

What is a "qtns"?

Questions.

this is why I don't like NSA (non-standard acronyms). It saves half a second for the typer, but causes hours if not days of confusion when summed over all the readers.

This is an OF (online forum) my bruv, you don't need to follow a style guide to post here

for anyone that likes the Agents SDK, but doesn't want their framework attached to OpenAI, we're really liking PydanticAI[0].

0 - https://ai.pydantic.dev/

Openai SDK docs:

> Notably, our SDK is compatible with any model providers that support the OpenAI Chat Completions API format.

so you can use with everything, not only OpenAI?

Yes

yea they mention this on the pod

There’s also HF’s smolagents[1].

1 - https://github.com/huggingface/smolagents

Does it encode everything as json object, so special characters are getting escaped?

I’ve noticed that with longer responses (particularly involving latex), models are a lot less accurate when the results need to be additionally encoded into JSON.

I like structured, but my preference is yaml/markdown, as it is a lot more readable (and the only thing that works with longer responses, latex or code generation).

appreciate the question on hparams for websearch!

one of the main reasons i build these ai search tools from scratch is that i can fully control the depth and breadth (and also customize loader to whatever data/sites). and currently the web search isn't very transparent on what sites they do not have full text or just use snippets.

having computer use + websearch is definitely something very powerful (openai's deep research essentially)

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