> ## Documentation Index > Fetch the complete documentation index at: https://docs.domino.ai/llms.txt > Use this file to discover all available pages before exploring further. # Log run inputs > Experimental: This API may change or be removed in a future release without warning. ## OpenAPI ````yaml /api-specs/cloud/public-api.json post /api/2.0/mlflow/runs/log-inputs openapi: 3.0.3 info: title: Domino Public API description: Reference for Domino's public REST API endpoints. version: 6.4.0 x-catalog-key: nucleus servers: - url: https://mycluster.domino.tech description: >- Replace 'mycluster.domino.tech' with your Domino cluster hostname. For Domino Cloud customers, that is `your-subdomain`.domino.tech (e.g., acme.domino.tech). For self-hosted deployments, it is the hostname you reach the Domino UI at. security: [] tags: - name: Projects - name: Project templates - name: Workspaces - name: Jobs - name: HPC Jobs - name: Environments - name: Hardware Tiers - name: Datasets - name: Data Sources - name: GenAI - name: AI Systems - name: MLflow experiments and runs - name: MLflow models - name: MLflow artifacts - name: MLflow traces - name: Apps - name: App versions - name: App instances - name: Model APIs - name: Registered models - name: Model deployment - name: Extensions - name: Cost and billing - name: Users and organizations - name: Service accounts - name: Personal Access Tokens - name: Personal Access Tokens (admin) - name: Audit Trail - name: Custom metrics - name: PPM - name: Model Monitoring models - name: Model Monitoring drift and quality - name: Model Monitoring settings - name: Model Monitoring authentication - name: Governance bundles - name: Governance policies - name: Governance evidence and results - name: Governance operations - name: NetApp Volumes - name: NetApp Volumes snapshots - name: NetApp Volumes filesystems - name: NetApp Volumes transfers - name: Tags - name: Properties externalDocs: description: OpenAPI url: https://swagger.io/resources/open-api/ paths: /api/2.0/mlflow/runs/log-inputs: post: tags: - MLflow experiments and runs description: >- Experimental: This API may change or be removed in a future release without warning. operationId: runs.LogInputs requestBody: content: application/json: schema: $ref: '#/components/schemas/mlflow-proxy_LogInputsRequest' responses: '200': description: Run inputs logged successfully content: application/json: schema: $ref: '#/components/schemas/mlflow-proxy_LogInputsResponse' default: $ref: '#/components/responses/mlflow-proxy_MLflowNativeError' components: schemas: mlflow-proxy_LogInputsRequest: description: >- Experimental: This API may change or be removed in a future release without warning. properties: run_id: description: ID of the run to log under. This field is required. type: string datasets: description: Dataset inputs items: $ref: '#/components/schemas/mlflow-proxy_DatasetInput' type: array required: - run_id type: object mlflow-proxy_LogInputsResponse: properties: {} type: object mlflow-proxy_DatasetInput: description: >- Experimental: This API may change or be removed in a future release without warning. properties: tags: description: >- A list of tags for the dataset input, e.g. a "context" tag with value "training" items: $ref: '#/components/schemas/mlflow-proxy_Tag' type: array dataset: $ref: '#/components/schemas/mlflow-proxy_Dataset' required: - dataset - tags type: object mlflow-proxy_ErrorResponse: properties: error_code: $ref: '#/components/schemas/mlflow-proxy_ErrorCode' message: description: Error message type: string required: - error_code - message type: object mlflow-proxy_Tag: properties: key: description: >- Name of the tag. Maximum size depends on storage backend. If a tag with this name already exists, its preexisting value will be replaced by the specified value. All storage backends are guaranteed to support key values up to 250 bytes in size. This field is required. type: string value: description: >- String value of the tag being logged. Maximum size depends on storage backend. All storage backends are guaranteed to support key values up to 5000 bytes in size. This field is required. type: string required: - key - value type: object mlflow-proxy_Dataset: description: >- Represents a reference to data used for training, testing, or evaluation during the model development process. Experimental: This API may change or be removed in a future release without warning. properties: name: description: >- The name of the dataset. E.g. "my.uc.table@2" "nyc-taxi-dataset", "fantastic-elk-3" This field is required. type: string digest: description: >- Dataset digest, e.g. an md5 hash of the dataset that uniquely identifies it within datasets of the same name. This field is required. type: string source_type: description: >- Source information for the dataset. Note that the source may not exactly reproduce the dataset if it was transformed / modified before use with MLflow. This field is required. type: string source: description: >- The type of the dataset source, e.g. "databricks-uc-table", "DBFS", "S3", … This field is required. type: string schema: description: >- The schema of the dataset. E.g., MLflow ColSpec JSON for a dataframe, MLflow TensorSpec JSON for an ndarray, or another schema format. type: string profile: description: >- The profile of the dataset. Summary statistics for the dataset, such as the number of rows in a table, the mean / std / mode of each column in a table, or the number of elements in an array. type: string required: - name - digest - source_type - source type: object mlflow-proxy_ErrorCode: description: Error code enum: - INTERNAL_ERROR - INVALID_STATE - DATA_LOSS - NOT_IMPLEMENTED - TEMPORARILY_UNAVAILABLE - DEADLINE_EXCEEDED - CANCELLED - RESOURCE_EXHAUSTED - REQUEST_LIMIT_EXCEEDED - ABORTED - RESOURCE_CONFLICT - ALREADY_EXISTS - NOT_FOUND - ENDPOINT_NOT_FOUND - RESOURCE_DOES_NOT_EXIST - PERMISSION_DENIED - CUSTOMER_UNAUTHORIZED - UNAUTHENTICATED - BAD_REQUEST - RESOURCE_ALREADY_EXISTS - INVALID_PARAMETER_VALUE type: string responses: mlflow-proxy_MLflowNativeError: description: The client issued a bad request to the server content: application/json: schema: $ref: '#/components/schemas/mlflow-proxy_ErrorResponse' ```` ## Related topics - [Track and monitor experiments](/cloud/platform-capabilities/features/development/track-monitor.md) - [Log in](/api-reference/model-monitoring-authentication/get-model-monitorv2apiauthlogin.md) - [Monitor Flows](/cloud/platform-capabilities/features/flows/monitor-flows.md) - [Log out](/api-reference/model-monitoring-authentication/get-model-monitorv2apiauthlogout.md)