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rbitar

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Anthropic pauses Claude Agent SDK policy

5 points·by rbitar·قبل 26 يومًا·1 comments

Vercel AI SDK 6 Beta

v6.ai-sdk.dev
1 points·by rbitar·قبل 8 أشهر·0 comments

comments

rbitar
·قبل 4 أشهر·discuss
I think the most exciting change announced here is the use of tool search to dynamically load tools as needed: https://developers.openai.com/api/docs/guides/tools-tool-sea...
rbitar
·قبل 6 أشهر·discuss
Fantastic, this looks excellent and excited to try it
rbitar
·قبل 9 أشهر·discuss
I regularly use @ key to add files to context for tasks I know require edits or patterns I want claude to follow, adds a few extra key strokes but in most cases the quality improvement is worth it
rbitar
·قبل 9 أشهر·discuss
Interesting and if they are using speculative decoding that variance would make sense. Also your numbers line up with what openrouter is now publishing at 169.1tps [1]

Anthropic mentioned this model is more then twice as fast as claude sonnet 4 [2], which OpenRouter averaged at 61.72 tps for sonnet 4 [3]. If these numbers hold we're really looking at an almost 3x improvement in throughput and less then half the initial latency.

[1] https://openrouter.ai/anthropic/claude-haiku-4.5 [2] https://www.anthropic.com/news/claude-haiku-4-5 [3] https://openrouter.ai/anthropic/claude-sonnet-4
rbitar
·قبل 9 أشهر·discuss
Where do you get the 220 token/second? Genuinely curious as that would be very impressive for a model comparable to sonnet 4. OpenRouter currently publishing around 116/tps[1]

[1] https://openrouter.ai/anthropic/claude-haiku-4.5
rbitar
·قبل 9 أشهر·discuss
Congrats to the team, I'm surprised the industry hasn't been as impressed with their benchmarks on token throughput. We're using the Qwen 3 Coder 480b model and seeing ~2000 tokens/second, which is easily 10-20x faster then most LLM models on the market. Even some of the fastest models still only achieve 100-150 tokens / second (see OpenRouter stats by provider). I do feel after around 300-400 tokens/second the gains in speed feel more incremental, so if there was a model at 300+ tokens/second, I would consider that a very competitive alternative.
rbitar
·قبل 9 أشهر·discuss
Really excited for this product, the industry needs alternatives to WebContainers which has become more restrictive around licensing. Also great to see that non-node runtimes (ruby / python) will be supported. Having said that, really wish this was open-source, even if that meant the OSS version had more limited features then the commercial alternative.