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Source channel @githubtrending · Post #14693 · May 10
#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai
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@Theming_variable_guide · Post #71 · 07/10/2022, 10:49 AM
#P_G FORWARDING OPTIONS 👉Info if the color does not change Important, these variables also change many other areas! ➖➖➖ #dch radioBackgroundChecked This 👆variable can be found ONLYin 👉 settings and then 👉 chat settings ➖➖➖ These variables can be found when you are in a chat #gba dialogBackground #div divider #nui actionBarDefaultSubmenuItem actionBarDefaultSubmenuItemIcon #gbu dialogButtonSelector