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)

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);

package main

import (
	"context"
	"fmt"

	"github.com/openlayer-ai/openlayer-go"
)

client := openlayer.NewClient()
response, err := client.InferencePipelines.Rows.Update(
	context.TODO(),
	"c1d2e3f4-a5b6-4c7d-8e9f-0a1b2c3d4e5f",
	openlayer.InferencePipelineRowUpdateParams{
		InferenceID: openlayer.F("0f1e2d3c-4b5a-4968-8776-5a4b3c2d1e0f"),
		Row: openlayer.F[any](map[string]interface{}{
			"ground_truth": "42",
		}),
		Config: openlayer.F(openlayer.InferencePipelineRowUpdateParamsConfig{
			GroundTruthColumnName: openlayer.F("ground_truth"),
		}),
	},
)
if err != nil {
	panic(err.Error())
}
fmt.Printf("%+v\n", response.Success)

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);

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)

curl --request PUT \
--url https://api.openlayer.com/v1/inference-pipelines/{inferencePipelineId}/rows?inferenceId=832y98d3 \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
  "row": {
    "ground_truth": "The sun is 94.471 million miles from the earth."
  },
  "config": {
    "groundTruthColumnName": "ground_truth",
  }
}'

{
  "success": true
}

{
  "code": 123,
  "error": "<string>"
}