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Grab's Agent Framework LLM-Kit Accelerates AI Agent Production Deployment
Grab has implemented LLM-Kit, a framework that standardizes over 500 internal agent services. This system enhances service integration, evaluation, and secret handling, reducing the time to deploy new AI agents from two weeks to one hour.
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AI agent regression testing with Agent Experiments in Arize AX
An Arize AX walkthrough shows how a fix requiring confirmation before cancellations and purchases raised action safety but dropped average task completion from 0.89 to 0.72. In the demo, a working purchase flow stalled afterward: the agent returned product details without completing the order or asking for confirmation.
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Chinese AI models dominate OpenRouter’s US token consumption. It can now guarantee that traffic stays entirely in the US.
Everyone knows the open-weight model pitch by now: companies can download the weights, customize them, run them on infrastructure of
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Infrastructure identity for platform engineers
Discover how platform engineers can eliminate static secrets and embed Zero Trust into their IDP using short-lived, cryptographic infrastructure identities.
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