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GET
/
models
/
{model_id}
/
versions
/
{version_id}
Get Model Version
curl --request GET \
  --url https://api.woodwide.ai/models/{model_id}/versions/{version_id} \
  --header 'Authorization: Bearer <token>'
{
  "model_version_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "model_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "version": 123,
  "created_at": "2023-11-07T05:31:56Z",
  "dataset": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "version_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "version_number": 123
  },
  "training_job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "metrics": {},
  "ready_at": "2023-11-07T05:31:56Z"
}

Documentation Index

Fetch the complete documentation index at: https://docs.woodwide.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

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

Path Parameters

​
model_id
string<uuid>
required
​
version_id
string<uuid>
required

Response

Successful Response

Model version detail.

Includes training configuration and status. The dataset field links back to the exact data used for training, enabling reproducibility.

​
model_version_id
string<uuid>
required
​
model_id
string<uuid>
required
​
version
integer
required
​
status
enum<string>
required

Version status.

Available options:
queued,
training,
ready,
failed
​
created_at
string<date-time>
required
​
dataset
DatasetVersionRef · object

Dataset version used for training.

​
training_job_id
string<uuid> | null

Training job ID.

​
metrics
Metrics · object

Validation metrics from training. Keys depend on model type: prediction (classification): accuracy (0–1). prediction (regression): r2 (R-squared). clustering: n_clusters, silhouette_score (−1 to 1). Other model types do not produce metrics.

​
ready_at
string<date-time> | null

When the version became ready for inference.