61–70 of 165 posts
Nice to finally see one of the labs throwing weight behind a much needed simple abstraction. It's clear they learned from the incumbents (langchain et al)-- don't sell complexity. Also very nice of them to include extensible tracing. The AgentOps integration is a nice touch to getting behind the scenes to understand how handoffs and tool calls are triggered
I'm impressed by the advances in Computer Use mentioned here and this got me wondering - is this already mature enough to be utilized for usability testing? Would I be right to assume that in general, a UI that is more difficult for AI to navigate is likely to also be relatively difficult for humans, and that it's a signal that it should be simplified/improved in some way?
Does the SDK allow executing Python code generated in some sort of sandbox? If not are there any open source library which does this for us? I would ideally like the state of the code executed, including return values, available for the entire chat session, like IPython, so that subsequent LLM generated code can use them.
I wrote a wrapper around it that works in a web browser (you'll need an OpenAI API key): https://github.com/uhsealevelcenter/IDEA
Here's the alternative link for people who aren't signed in to Twitter: https://nitter.net/athyuttamre/status/1899541471532867821
Notably not mentioned: Model Context Protocol https://www.anthropic.com/news/model-context-protocol
How do they compare?
This SDK is trying to provide a bunch of code for implementing specific agent codebases. There are a bunch of open source ones already, so this is OpenAI throwing their hat in the ring.
IMO this OpenAI release is kind of ecosystem-hostile in that they are directly competing with their users, in the same way that the GPT apps were.
But they could just make great services and live in the infra layer instead of trying to squeeze everyone out at the application layer. Seems unnecessarily ecosystem-hostile
Nice to finally see one of the labs throwing weight behind a much needed simple abstraction. It's clear they learned from the incumbents (langchain et al)-- don't sell complexity. Also very nice of them to include extensible tracing. The AgentOps integration is a nice touch to getting behind the scenes to understand how handoffs and tool calls are triggered
Earlier quoted context omitted.
How do they compare?
MCP is a protocol, and Anthropic has provided SDKs for implementing that protocol. In practice, I find the MCP protocol to be pretty great, but it leaves basically everything except the model parts out. I.e. MCP really only addresses how "agentic" systems interact with one another, nothing else. This SDK is trying to provide a bunch of code for implementing specific agent codebases. There are a bunch of open source o…
Is it just me, or is what OpenAI is really lacking is a billing API/platform? As an engineer, I have to manage the cost/service ratio manually, making sure I charge enough to handle my traffic, while enforcing/managing/policing the usage. Additionally, there are customers who already pay for OpenAI, so the value add for them is less, since they are paying twice for the underlying capabilities. If OpenAPI had a billin…