隆重介紹 SyGra Studio

Introducing SyGra Studio

What Studio lets you do

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:

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:

Studio’s detail panel keeps everything in context—model parameters, prompt editor, tool configuration, pre/post-process code, and even multi-LLM settings if you want parallel generations. Typing { inside a prompt surfaces every available state variable instantly.

Step 3: Review and run

Open the Code Panel to inspect the exact YAML/JSON Studio is generating. This is the same artifact written to tasks/examples/, so what you see is what gets committed.

When you’re ready to execute:

After the run, download outputs, compare against prior executions, get metadata of latency and usage details.

See it in action!

Running Existing Workflows

Run the Glaive Code Assistant workflow

SyGra Studio can also execute existing workflow in the tasks. For example, in the tasks/examples/glaive_code_assistant/ workflow — it ingests the glaiveai/glaive-code-assistant-v2 dataset, drafts answers, critiques them, and loops until the critique returns “NO MORE FEEDBACK.”

Inside Studio you’ll notice:

Get started

SyGra Studio turns synthetic data workflows into a visual, user friendly experience. Configure once, build with confidence, run with full observability, generate the data without ever leaving the canvas.

Community

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