What’s new in Conductor Python SDK?

The Conductor Python SDK has received a significant update, introducing new features such as support for AI orchestration with language models, prompt templates, and vector databases, enabling the creation of Gen AI applications by integrating with popular AI/LLM models and databases like OpenAI, Azure OpenAI, Vertex AI, Pinecone, and Weaviate. The update also includes an improved method for creating dynamic workflows using the ConductorWorkflow class, enhancing scalability in Python-based automation projects, while offering unit testing and workflow replay capabilities for better debugging and optimization. Quality-of-life improvements have been made with dedicated clients for various resources, worker configuration flexibility, enhanced documentation, performance optimizations, and ready-to-use examples, all aimed at improving the developer experience. To get started with the Python SDK, users need Python 3.9+, and can quickly install it using pip, set up the SDK to point to the Conductor Server API, and start the server using Docker. Conductor serves as an enterprise-grade orchestration platform for process automation, API and microservices orchestration, and agentic workflows, with options for a Developer Edition sandbox and a managed Orkes Cloud service.