Agents
opus 4.7 dropped last week with two new features: xhigh effort: more compute when you need it task budgets: the model knows its limit and wr…
opus 4.7 dropped last week with two new features: xhigh effort: more compute when you need it task budgets: the model knows its limit and wraps up gracefully, this is a great example of giving the mod
opus 4.7 dropped last week with two new features: xhigh effort: more compute when you need it task budgets: the model knows its limit and wraps up gracefully, this is a great example of giving the model awareness of its constraints! configure both in deepagents today!
Related
- We just dropped a comprehensive guide on taking long-running agents to production. It covers the infrastructure you'll need to run and impro…
- when you take agents to production, you need to think about guardrails we provide 2 abstractions for guardrails 1. middleware provides hooks…
- I think you should build your own harness too. Build on primitives. Models come and go.
- 🚀Deep Agents deploy Today we’re launching Deep Agents deploy in beta. Deep Agents deploy is the fastest way to deploy a model agnostic, ope…
- anyways, try out deepagents https://github.com/langchain-ai/deepagents
Source: Harrison Chase (X) | 2026-04-20