> ## Documentation Index > Fetch the complete documentation index at: https://openlayer.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Update record > Update a record in a data source (formerly known as "inference pipeline"). ## OpenAPI ````yaml put /inference-pipelines/{inferencePipelineId}/rows openapi: 3.0.3 info: contact: email: support@openlayer.com name: Openlayer url: https://openlayer.com/ description: API for interacting with the Openlayer server. title: Openlayer API version: '1.0' x-logo: url: https://logo.clearbit.com/openlayer.com servers: - url: https://api.openlayer.com/v1 description: Our prod backend security: - bearerAuth: [] paths: /inference-pipelines/{inferencePipelineId}/rows: put: tags: - Monitoring summary: Update a row description: Update a row in an inference pipeline. parameters: - $ref: '#/components/parameters/inferencePipelineId' - name: inferenceId in: query description: Specify the inference id as a query param. required: true schema: type: string requestBody: content: application/json: schema: type: object properties: row: type: object minProperties: 1 maxProperties: 100 config: $ref: '#/components/schemas/DatastreamConfigUpdate' nullable: true required: - row responses: '200': description: Status OK. content: application/json: schema: type: object required: - success properties: success: type: boolean enum: - true default: $ref: '#/components/responses/UnexpectedError' x-codeSamples: - lang: python source: | from openlayer import Openlayer client = Openlayer() response = client.inference_pipelines.rows.update( "c1d2e3f4-a5b6-4c7d-8e9f-0a1b2c3d4e5f", inference_id="0f1e2d3c-4b5a-4968-8776-5a4b3c2d1e0f", row={"ground_truth": "The sun is about 93 million miles from the earth."}, config={"ground_truth_column_name": "ground_truth"}, ) print(response.success) - lang: typescript source: > import Openlayer from 'openlayer'; const client = new Openlayer(); const response = await client.inferencePipelines.rows.update('c1d2e3f4-a5b6-4c7d-8e9f-0a1b2c3d4e5f', { inferenceId: '0f1e2d3c-4b5a-4968-8776-5a4b3c2d1e0f', row: { human_feedback: 'thumbs_up' }, config: { humanFeedbackColumnName: 'human_feedback' }, }); console.log(response.success); - lang: go source: "package main\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\n\t\"github.com/openlayer-ai/openlayer-go\"\n)\n\nclient := openlayer.NewClient()\nresponse, err := client.InferencePipelines.Rows.Update(\n\tcontext.TODO(),\n\t\"c1d2e3f4-a5b6-4c7d-8e9f-0a1b2c3d4e5f\",\n\topenlayer.InferencePipelineRowUpdateParams{\n\t\tInferenceID: openlayer.F(\"0f1e2d3c-4b5a-4968-8776-5a4b3c2d1e0f\"),\n\t\tRow: openlayer.F[any](map[string]interface{}{\n\t\t\t\"ground_truth\": \"42\",\n\t\t}),\n\t\tConfig: openlayer.F(openlayer.InferencePipelineRowUpdateParamsConfig{\n\t\t\tGroundTruthColumnName: openlayer.F(\"ground_truth\"),\n\t\t}),\n\t},\n)\nif err != nil {\n\tpanic(err.Error())\n}\nfmt.Printf(\"%+v\\n\", response.Success)\n" - lang: java source: > import com.openlayer.api.client.OpenlayerClient; import com.openlayer.api.client.okhttp.OpenlayerOkHttpClient; import com.openlayer.api.core.JsonValue; import com.openlayer.api.models.inferencepipelines.rows.RowUpdateParams; import com.openlayer.api.models.inferencepipelines.rows.RowUpdateResponse; import java.util.Map; OpenlayerClient client = OpenlayerOkHttpClient.fromEnv(); RowUpdateParams params = RowUpdateParams.builder() .inferencePipelineId("c1d2e3f4-a5b6-4c7d-8e9f-0a1b2c3d4e5f") .inferenceId("0f1e2d3c-4b5a-4968-8776-5a4b3c2d1e0f") .row(JsonValue.from(Map.of("human_feedback", "thumbs_up"))) .config(RowUpdateParams.Config.builder() .humanFeedbackColumnName("human_feedback") .build()) .build(); RowUpdateResponse response = client.inferencePipelines().rows().update(params); - lang: ruby source: | require "openlayer" openlayer = Openlayer::Client.new(api_key: ENV["OPENLAYER_API_KEY"]) response = openlayer.inference_pipelines.rows.update( "c1d2e3f4-a5b6-4c7d-8e9f-0a1b2c3d4e5f", inference_id: "0f1e2d3c-4b5a-4968-8776-5a4b3c2d1e0f", row: {human_feedback: "thumbs_up"}, config: {human_feedback_column_name: "human_feedback"} ) puts(response) - lang: curl source: > curl --request PUT \ --url https://api.openlayer.com/v1/inference-pipelines/{inferencePipelineId}/rows?inferenceId=832y98d3 \ --header 'Authorization: Bearer ' \ --header 'Content-Type: application/json' \ --data '{ "row": { "ground_truth": "The sun is 94.471 million miles from the earth." }, "config": { "groundTruthColumnName": "ground_truth", } }' components: parameters: inferencePipelineId: name: inferencePipelineId in: path description: The inference pipeline id (a UUID). required: true schema: type: string format: uuid schemas: DatastreamConfigUpdate: type: object properties: inferenceIdColumnName: type: string description: >- Name of the column with the inference ids. This is useful if you want to update rows at a later point in time. If not provided, a unique id is generated by Openlayer. example: id writeOnly: true nullable: true latencyColumnName: type: string description: Name of the column with the latencies. example: latency nullable: true timestampColumnName: type: string nullable: true description: >- Name of the column with the timestamps. Timestamps must be in UNIX sec format. If not provided, the upload timestamp is used. example: timestamp groundTruthColumnName: type: string description: Name of the column with the ground truths. example: ground_truth nullable: true humanFeedbackColumnName: type: string description: Name of the column with human feedback. example: human_feedback nullable: true responses: UnexpectedError: description: Unexpected error. content: application/json: schema: type: object required: - code - error properties: code: type: integer format: int32 error: type: string securitySchemes: bearerAuth: type: http scheme: bearer description: > Bearer authentication header of the form `Bearer `, where `` is your workspace API key. See [Find your API key](https://www.openlayer.com/docs/workspace-and-projects/find-your-api-key) for more information. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.