PREPARE → EXECUTE → SCORE

Build your workflow

Choose a method, benchmark and model. Review the configuration, then run the existing native pipeline.

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01

Choose a starting point

Presets create editable drafts. They do not supply a model service or private artifacts.

02

Connect your model

Leave all model fields empty for a prompt-only run. Model weights are not downloaded by this form.

03

Set per-case budgets

Concurrency changes scheduling. Each case keeps its own token and call limits.

Method parameters, retrieval and runtime settings

Use the method's native parameter names for temperature, per-call output caps and max_length. Unknown parameters are reported by preflight. File paths are on the server.

Existing run.json can be pasted into the run object below. Extra target/scorer settings, case IDs, cache paths and local-model settings are editable in the full workflow.

04

Review and run

This JSON is the execution configuration. Editing it does not start a model or download.

Generate or import a configuration to begin.

Selected method's parameter reference
Generate a configuration to show the native parameter definitions.

Running a model-backed workflow sends requests to your configured model service. Native scores, failures and consumed budgets are recorded.

05

Saved runs

Refresh or reopen this page to inspect persisted runs. Resume uses the saved configuration and does not repeat completed attempts.