Introducing SyGra Studio

SyGra 2.0.0 introduces Studio, an interactive environment that turns synthetic data generation into a transparent, visual craft. Instead of juggling YAML files and terminals, you compose flows directly on the canvas, preview datasets before committing, tune prompts with inline variable hints, and watch executions stream live—all from a single pane. Under the hood it’s the same platform, so everything you do visually generates the corresponding SyGra compatible graph config and task executor scripts.

What Studio lets you do

1. Configure and validate models with guided forms (OpenAI, Azure OpenAI, Ollama, Vertex, Bedrock, vLLM, custom endpoints).
2. Connect Hugging Face, file-system, or ServiceNow data sources and preview rows before execution.
3. Configure nodes by selecting models, writing prompts (with auto-suggested variables), and defining outputs or structured schemas.
4. Design downstream outputs using shared state variables and Pydantic-powered mappings.
5. Execute flows end-to-end and review generated results instantly with node-level progress.
6. Debug with inline logs, breakpoints, Monaco-backed code editors, and auto-saved drafts.
7. Monitor per-run token cost, latency, and guardrail outcomes with execution history stored in .executions/.

Let’s walk through this experience step by step.

Step 1: Configure the data source

Open Studio, click Create Flow, and Start/End nodes appear automatically. Before adding anything else:

• Choose a connector (Hugging Face, disk, or ServiceNow).
• Enter parameters like repo_id, split, or file path, then click Preview to fetch sample rows.
• Column names immediately become state variables (e.g., {prompt}, {genre}), so you know exactly what can be referenced inside prompts and processors.

Once validated, Studio keeps the configuration in sync and pipes those variables throughout the flow—no manual wiring or guesswork.

Step 2: Build the flow visually

Drag the blocks you need from the palette. For a story-generation pipeline: