Work @ Anthropic on MCP (views expressed = my own), ex-Google, past contrib. to OpenSCAD & llama.cpp; he/him ๐ณ๏ธโ๐ @ochafik.bsky.social @[email protected]
Claude can now build interactive charts and diagrams, directly in the chat.
Available today in beta on all plans, including free.
Try it out: https://t.co/tHPAZRgQkn
Voxtral 2 realtime coming to MLX-Audio thanks @KarnikShreyas and @ochafik
New release this coming week once we land the PR.
I believe we can get to 100-200ms range. Perfect for iOS!
https://t.co/JwNb65rjvo
@bendersej@AnthropicAI@bcherny Hey, can you make sure to put the CDP settings in the resourceโs _meta? We have a few examples (https://t.co/SmPey3UhEB), if you use the registerAppTool / registerAppResource helpers in TS it should all type-check. And please feel free to file a bug if it still won't work ๐
@bendersej@AnthropicAI@bcherny Sorry no plans for it atm! (being conservative here for security + future model introspectability reasons)
Best option is currently to turn your iframe embed itself into an MCP app. Here's a rough idea how to support both modes: https://t.co/uxaUL5qk4I
@bendersej@AnthropicAI@bcherny Hey @bendersej, yes sorry but https://t.co/e6gGUWw5Al doesn't support frameDomains.
Your app can check what CSP settings the host decided to support w/ getHostCapabilities().sandbox?.csp?.frameDomains
You can now run apps within https://t.co/5Fv7lxjbbQ, powered by MCP Apps.
Analyze data, edit tickets, draft messages, generate diagrams and more with Claude's interactive connectors. Grateful to our team, the open source community, and our partners for this launch ๐
Had so much fun co-authoring the MCP Apps spec and helping launch it in https://t.co/e6gGUWw5Al! ๐
๐งต About some demo apps you may wanna check out as user or developer
Pdf (https://t.co/3S0OjUg0c8 ; also available in https://t.co/e6gGUWw5Al Connectors) will show any arxiv PDF and allow you to ask Claude about any page / selection you need details about
@ericcurtin17@ollama@ggml_org@parthsareen I think there's room for a variety of approaches to OSS.
I (and my past employer) have been happy to contribute code under a permissive license ((almost) no strings attachedโ๏ธ)
And I'm thankful that Ollama's codebase is open-source ๐ค (even if I'm not a fan of Go ๐คช)
@ericcurtin17@ollama@ggml_org Ideally Ollama would use the Jinja support and constrained tool calls from llama.cpp, removing the need for their bespoke templating engine and improving their output quality. Probably would just need to wrap the relevant APIs as C?
@ericcurtin17@ollama@ggml_org The major differences AFAICT are Ollama's tool calls are not grammar-constrained (many models can have high failure unless temperature is kept low, see https://t.co/iX6guPkRpI), and they don't support streaming in their OpenAI-compatible endpoint (and no streaming of arguments)
Wanna disable thinking in llama.cpp? Try the new `--reasoning-budget 0` flag
https://t.co/ntSKofbhZg
Should work w/ Qwen3, QwQ, DeepSeek R1 distills, Command R7B; please report any issues!
(Upcoming per-request behaviour discussed on https://t.co/Hfm7GFuSrd @ngxson)
#llamacpp
You really can just do things! Use *any* Hugging Face space as a MCP server along with your Local Models! ๐ฅ
Here in we use Qwen 3 30B A3B with @ggml_org llama.cpp and @huggingface tiny agents to create images via FLUX powered by ZeroGPU โก
It's quite a bit crazy to see local models be capable of so much and just be able to understand/ infer from tool description!
There's a lot of potential here in automating video generation workflows, content curation and a lot more..
Bonus: you can plug any other Inference Provider if you don't want to run locally too!
npx @ huggingface/tiny-agents run [TASK]
oh, and we provide both typescript and python client! ๐
@profcelsofontes Support for disabling thinking is now available w/ `--reasoning-budget 0` across thinking models:
https://t.co/Npo493RoEv
(the pending generic mechanism will be useful for other things)
And my pleasure!
Wanna disable thinking in llama.cpp? Try the new `--reasoning-budget 0` flag
https://t.co/ntSKofbhZg
Should work w/ Qwen3, QwQ, DeepSeek R1 distills, Command R7B; please report any issues!
(Upcoming per-request behaviour discussed on https://t.co/Hfm7GFuSrd @ngxson)
#llamacpp
@profcelsofontes Yeah it may sound overkill, but then it allows issuing parallel calls as early as they're returned, and some more advanced scenarios (e.g. streaming diff arguments for file patching tools, think Cline / Roo - initially wanted to integrate to this: https://t.co/P5F27qtcbs)