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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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Agents1 min read
The LangChain MCP protocol has been redesigned to enable stateless operation and improved scalability. This includes support for elicitation via interrupts and caching, resulting in increased reliability and reduced latency for agent tool calls.
From LangChain blog
Agents2 min read
Nevermined enables LangChain agents to purchase services and access tools mid-task by delegating a credit card with spending limits, eliminating human intervention for payment processes. This allows agents to continue operating autonomously, addressing limitations related to API access and service token consumption.
From LangChain blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: .
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
