Submit a target alignment score and let the system plan the run as a recursive self-improvement loop: each checkpoint is scored, and the score steers the next phase.

The system analyses your data, base model and prior train-time alignment history to build a multi-phase alignment plan.

Phases are sequenced and executed continuously. The system may apply gradient-free representation adjustments, supervised learning, reward-guided optimisation, or a combination, re-planning when the score trajectory demands it. Checkpoints are evaluated between phases, and the system revisits earlier phases if regressions surface.

Every parameter defaults to auto. You can override any of them to constrain the search, and the system performs best when given room to explore.

Path Parameters:

• alignment_id: The alignment project to auto-align. Its base model, data and prior train-time alignment history warm-start the planning.

Request Body:

• target_score (required): Target quality on a 0-99 scale
• benchmark_id (optional): Benchmark that measures the achieved score against the target. Defaults to the benchmark already on the project
• method, representations, sequencing (optional): Constrain which optimisation families run and in what order
• max_compute_hours (optional): Upper bound on GPU hours across all phases
• notify_on_phase_transition (optional): Notify on each phase change
• config (optional): Take control of any part of the run, for reinforcement learning or supervised (SFT) settings: loss, optimizer, LoRA adapter, reward, advantage, reference policy, environment, dataset, sampling, training, checkpointing, evaluation, rendering and logging. Pass only what you want to pin; anything omitted stays auto and redundant settings are discarded. Every field is listed in the AutoAlignConfig schema, with a full example

Returns:

• auto_align_id: Identifier of this request
• alignment_id: The project it targets
• status, message

Raises:

• 404: If the alignment project is not found or does not belong to you

Notes:

• Auto-alignment is an Enterprise Edition capability. The request is recorded and our team follows up; raise a support ticket to enable it
• Once enabled, poll GET /alignment-projects/{alignment_id}/status for progress, phase transitions and intermediate scores

{
  "target_score": 88
}