SyGra Studio 2.0 introduces Studio visual designer for synthetic data workflows

AI Impact Summary

SyGra Studio 2.0 introduces a canvas-based Studio environment that lets teams visually compose, validate, and run synthetic-data pipelines without hand-editing YAML or using terminals. It wires model prompts and outputs across providers (OpenAI, Azure OpenAI, Ollama, Vertex AI, Bedrock, vLLM) and data sources (Hugging Face, ServiceNow, disk), and it auto-generates the corresponding SyGra graph config and task executor scripts. Executions stream in real time with per-run token cost, latency, and guardrail outcomes, and are stored under .executions/runs for auditability while the code panel shows the exact YAML/JSON that will be committed. This enables rapid prototyping and repeatable synthetic-data workflows, but increases reliance on Studio for end-to-end pipeline creation and governance.