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GET
Get Alignment Data

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

id
string
required

Response

Returns detailed information about a specific alignment project, including metadata, associated documents, training progress, status, performance metrics, and evaluation information

alignment_id
string
required

Unique identifier for the alignment project

Example:
alignment_name
string
required

Human-readable name for the alignment project

Example:
base_model
string
required

ID of the base model used for alignment training

Example:
status
enum<string>
required

Current status of the alignment project (PROCESSING, READY, FAILED)

Available options:
PROCESSING,
READY,
FAILED,
DEPLOYING,
EVALUATING,
UNDEPLOYED,
EVALUATED,
STOPPED
created_date
string
required

ISO 8601 timestamp when the project was created

Example:
document_ids
string[]
required

List of document IDs used for alignment training

Example:
document_count
integer
required

Total number of documents used for training

Required range: x >= 0
Example:
creator
string
required

Email/username of the user who created this project

Example:
completed_date
string | null

ISO 8601 timestamp when the project completed (null if still in progress or failed)

Example:
performance_metrics
AlignmentProjectPerformanceMetrics · object | null

Performance comparison metrics showing before/after alignment improvements (available after evaluation)

progress
integer | null

Training progress percentage (0-100). Null if not started or completed.

Required range: 0 <= x <= 100
Example:
estimated_completion
string | null

Estimated completion time (ISO 8601 timestamp). Null if not available or completed.

Example:
error
string | null

Error message if the alignment project failed. Null if no error.

Example:
evaluation_id
string | null

Auto-evaluation ID if automatic evaluation was triggered after alignment completion

Example:
model_id
string | null

Deployed model ID if the aligned model was automatically deployed for evaluation

Example:
gpu_training_completed
boolean | null

Whether GPU training completed successfully. True if completed, False if failed/cancelled, null if still in progress.

Example: