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Tuesday

Monday

  8. Modal Official Engineering Blog

    How Legora runs 2,000 agent evaluations in parallel on Modal Sandboxes

    Legora puts each evaluation run in an independent Modal Sandbox, allowing a single experiment to run more than 2,000 times in parallel to test legal agents that span thousands of documents and run for hours. The team uses Modal Volumes to snapshot documents, databases, and permission state, and shortens reset-to-commit from a full build to an incremental update by building images hourly and pre-warming Sandboxes. After migrating to Modal VM Sandboxes, Docker works inside the sandbox like on an ordinary Linux host, and Legora removed all of its previous networking and FUSE workarounds.

    Diagram illustrating the flow for eval experiments from starting the experiment to executing.

    Legora puts each evaluation run in an independent Modal Sandbox, allowing a single experiment to run more than 2,000 times in parallel to test legal agents that span thousands of documents and run for hours. The team uses Modal Volumes to snapshot documents, databases, and permission state, and shortens reset-to-commit from a full build to an incremental update by building images hourly and pre-warming Sandboxes. After migrating to Modal VM Sandboxes, Docker works inside the sandbox like on an o

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    #company#Tutorials / practice#Agents#Evaluations / benchmarks

Sunday

  4. Tencent Cloud Developer Community

    A Guide to "Agent Engineering in Practice: Eight Lectures": Engineering Methods from Working Prototype to Production-Ready

    The Tencent Cloud Developer Community has published a guide to "Agent Engineering in Practice: Eight Lectures," centered on how to upgrade a prototype capable of calling models and tools into a system that can complete business tasks, explain failures, control costs, and iterate continuously. The series runs through two fictional teaching cases—a case-filing assistant Agent and a postoperative follow-up Agent—covering eight topics: task contracts, reasoning and collaboration, context and memory, reliable tool execution, observability and replay, evaluation and calibration, security boundaries, and production operations. The article emphasizes that a model being able to suggest the next step does not mean the system can deliver business results; the example fields, budgets, and figures are all teaching calculations and do not constitute legal advice.

    The Tencent Cloud Developer Community has published a guide to "Agent Engineering in Practice: Eight Lectures," centered on how to upgrade a prototype capable of calling models and tools into a system that can complete business tasks, explain failures, control costs, and iterate continuously. The series runs through two fictional teaching cases—a case-filing assistant Agent and a postoperative follow-up Agent—covering eight topics: task contracts, reasoning and collaboration, context and memory,

    Matched fieldsBody

    #hot-signal#Tutorials / practice#Agents#English text is being prepared.

Friday