Replacing my job at RunPod with agents: Can Mastra really do it? скачать в хорошем качестве

Replacing my job at RunPod with agents: Can Mastra really do it?

I share exactly how I’m automating my day-to-day tasks at RunPod using AI agents built with Mastra. I have 43 repositories (workers) to maintain, validate, and update: doing it manually would take forever. But with Mastra agents, the entire process becomes automated, efficient and incredibly scalable. You'll learn how I structured an agent system by using the models ToolACE-2-Llama-3.1-8b and claude-3.5-sonnet, enabling tasks like code validation, automatic bug fixes and even creating GitHub pull requests, all without me doing anything. We’ll dive into: My Mastra agent architecture setup How agents collaborate to manage and fix repositories Why I chose ToolACE-2-Llama-3.1-8B and claude-3.5-sonnet Challenges and learnings from deploying agents with vLLM on RunPod Resources RunPod workers: https://github.com/runpod-workers Serverless in Real Life: Use Cases & Insights:    • Tim Pietrusky, DevRel Engineer, RunPo...   Janitor: https://github.com/runpod/janitor mastra: https://mastra.ai ToolACE-2-Llama-3.1-8B: https://huggingface.co/Team-ACE/ToolA... claude-3-5-sonnet: https://www.anthropic.com/news/claude... function calling leaderboard: https://gorilla.cs.berkeley.edu/leade... worker-basic: https://github.com/TimPietrusky/worke... vLLM worker: https://github.com/runpod-workers/wor... RunPod: https://runpod.io The docker image that contains the fix for the llama3_json parser: runpod/worker-v1-vllm:v2.2.0stable-cuda12.1.0-fix-llama3-json watt-tool-70b: https://huggingface.co/watt-ai/watt-t... Chapters 00:00 replacing myself with agents 01:28 janitor 02:58 worker-basic 03:25 git_checkout 03:48 docker_validation 05:15 repair 07:05 pull_request 08:34 mastra web ui 10:24 janitor live demo 15:32 ToolACE-2-Llama-3.1-8B on RunPod 17:00 bug in vLLM fixed 18:20 openai-compatible api 18:42 open source 18:57 watt-tool-70b