GenAI Job Agents is a Python-based open-source framework designed to streamline the creation and management of AI-powered job agents. Developers can define customized job types and agent behaviors using simple configuration files or Python classes. The system integrates seamlessly with OpenAI for LLM-powered reasoning and LangChain for chaining calls. Jobs can be queued, executed in parallel, and monitored through built-in logging and error-handling mechanisms. Agents can handle dynamic inputs, retry failures automatically, and produce structured results for downstream processing. With modular architecture, extensible plugins, and clear APIs, GenAI Job Agents empowers teams to automate repetitive tasks, orchestrate complex workflows, and scale AI-driven operations in production environments.

Modal is a next-generation serverless platform designed for AI, data science, and machine learning teams. It facilitates the running of generative AI models, large-scale batch jobs, job queues, and much more. With Modal, developers can bring their own code, run it in the cloud without concerning themselves with infrastructure, and scale production workloads efficiently using thousands of CPUs and GPUs. Modal provides an effortless setup and integration for a high-performance computational environment, helping teams to innovate and develop faster with lower costs.