31–40 of 165 posts
The chunking strategy is... pretty basic, but I guess we'll see if it works well enough for enough people.
They did not announce the price(s) in the presentation. Likely because they know it is going to be very expensive: Web Search [0] * $30 and $25 per 1K queries for GPT‑4o search and 4o-mini search. File search [1] * $2.50 per 1K queries and file storage at $0.10/GB/day * First 1GB is free. Computer use tool (computer-use-preview model) [2] * $3 per 1M input tokens and $12/1M output tokens. [0] https://platform.openai.…
A bit off topic but the post comes handy: can we settle the debate what an agent really is? It seems like everyone has their own definition. Ok I’ll start: an agent is a computer program that utilized LLMs heutiger for decision making.
an agent is software that does something on behalf of someone (aka software) I personally strongly prefer the term "bots" for what most of these frameworks call "agents"
A bit off topic but the post comes handy: can we settle the debate what an agent really is? It seems like everyone has their own definition. Ok I’ll start: an agent is a computer program that utilized LLMs heutiger for decision making.
I think Anthropic's definition makes the most sense. - Workflows are systems where LLMs and tools are orchestrated through predefined code paths. (imo this is what most people are referring to as "agents") - Agents, on the other hand, are systems where LLMs dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks. https://www.anthropic.com/engineering/building-effectiv…
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…
A bit off topic but the post comes handy: can we settle the debate what an agent really is? It seems like everyone has their own definition. Ok I’ll start: an agent is a computer program that utilized LLMs heutiger for decision making.
I wonder why they phased out Pydantic in structured output for the Responses API.
https://github.com/openai/openai-python/blob/main/examples/r...
This is one of the few agent abstractions I've seen that actually seems intuitive. Props to the OpenAI team, seems like it'll kill a lot of bad startups.