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In this tutorial, you’ll run a small LangGraph agent locally, then migrate its hardcoded prompts, model choice, and tools into LaunchDarkly AI Configs. After the migration, every prompt tweak, model swap, or tool change ships as a LaunchDarkly update instead of a code deploy. The migration takes about 20 minutes. When you finish, the codebase will:
HCP Terraform adds project-level run tasks Summary: HCP Terraform now supports project-level run tasks, enabling organizations to apply security, compliance, and operational guardrails consistently across groups of workspaces while reducing manual overhead. Organizations increasingly rely on HCP Terraform Projects to organize infrastructure by application, business unit, or environment. As infrastructure adoption scales across teams, platform administrators need governance controls that align na
Microsoft Foundry helps teams move beyond model access to operate AI at scale—selecting, evaluating, optimizing, and governing models across the full lifecycle. The post A Developer’s Guide to Managing Models, Cost and Quality in Microsoft Foundry appeared first on Microsoft Azure Blog.
Build smarter agents with Microsoft Foundry IQ, unifying enterprise and external data into a secure, scalable knowledge layer for faster, higher-quality answers. The post Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrieval appeared first on Microsoft Azure Blog.
AI agents are a powerful tool for synthesizing data to accelerate research, summarize information, and help teams make decisions faster. But combining internal... AI agents are a powerful tool for synthesizing data to accelerate research, summarize information, and help teams make decisions faster. But combining internal data with public sources poses security challenges. This post shares an open source example using Hermes Agent with NVIDIA NemoClaw for product research across Outlook, Slack, a
At Google Cloud Next, we announced the preview of graph algorithms with Spanner Graph, bringing Google Research’s state-of-the-art graph mining capabilities natively to your database. These graph intelligence capabilities can help you derive valuable insights from graph data faster, cheaper, and at scale. Enterprises are increasingly leveraging graph technologies to uncover complex relationships in data for use cases such as fraud detection, social network analysis, entity resolution, and health
Many data engineers spend significant time managing compatibility and getting best performance across multiple analytics engines. To help solve this pain point, we are excited to announce gcs-analytics-core, a new open-source Java library designed to centralize and accelerate analytics optimizations for Google Cloud Storage (GCS). With this, you get the flexibility to select your preferred analytics engine while achieving high performance on GCS. The gcs-analytics-core library provides optimizat
OpenAI released a set of six plug-ins aimed at specific jobs: data analytics, creative production, sales, product design, equity investing, and investment banking. Available from within the Codex app, each of the new tools bundles integrations, instructions, and context to allow Codex to approximate a specific job.
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