feat(api): update via SDK Studio

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.2.2"
+  ".": "0.3.0"
 }

.stats.yml

@@ -1 +1 @@
-configured_endpoints: 8
+configured_endpoints: 9

api.md

@@ -56,6 +56,16 @@ Methods:
 
 - <code title="post /inference-pipelines/{inferencePipelineId}/data-stream">client.inferencePipelines.data.<a href="./src/resources/inference-pipelines/data.ts">stream</a>(inferencePipelineId, { ...params }) -> DataStreamResponse</code>
 
+## Rows
+
+Types:
+
+- <code><a href="./src/resources/inference-pipelines/rows.ts">RowStreamResponse</a></code>
+
+Methods:
+
+- <code title="put /inference-pipelines/{inferencePipelineId}/rows">client.inferencePipelines.rows.<a href="./src/resources/inference-pipelines/rows.ts">stream</a>(inferencePipelineId, { ...params }) -> RowStreamResponse</code>
+
 ## TestResults
 
 Types:

package.json

@@ -1,6 +1,6 @@
 {
   "name": "openlayer",
-  "version": "0.2.2",
+  "version": "0.3.0",
   "description": "The official TypeScript library for the Openlayer API",
   "author": "Openlayer <support@openlayer.com>",
   "types": "dist/index.d.ts",

src/resources/inference-pipelines/index.ts

@@ -2,4 +2,5 @@
 
 export { DataStreamResponse, DataStreamParams, Data } from './data';
 export { InferencePipelines } from './inference-pipelines';
+export { RowStreamResponse, RowStreamParams, Rows } from './rows';
 export { TestResultListResponse, TestResultListParams, TestResults } from './test-results';

src/resources/inference-pipelines/inference-pipelines.ts

@@ -2,17 +2,22 @@
 
 import { APIResource } from '../../resource';
 import * as DataAPI from './data';
+import * as RowsAPI from './rows';
 import * as TestResultsAPI from './test-results';
 
 export class InferencePipelines extends APIResource {
   data: DataAPI.Data = new DataAPI.Data(this._client);
+  rows: RowsAPI.Rows = new RowsAPI.Rows(this._client);
   testResults: TestResultsAPI.TestResults = new TestResultsAPI.TestResults(this._client);
 }
 
 export namespace InferencePipelines {
   export import Data = DataAPI.Data;
   export import DataStreamResponse = DataAPI.DataStreamResponse;
   export import DataStreamParams = DataAPI.DataStreamParams;
+  export import Rows = RowsAPI.Rows;
+  export import RowStreamResponse = RowsAPI.RowStreamResponse;
+  export import RowStreamParams = RowsAPI.RowStreamParams;
   export import TestResults = TestResultsAPI.TestResults;
   export import TestResultListResponse = TestResultsAPI.TestResultListResponse;
   export import TestResultListParams = TestResultsAPI.TestResultListParams;

src/resources/inference-pipelines/rows.ts

@@ -0,0 +1,81 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+import { APIResource } from '../../resource';
+import * as Core from '../../core';
+import * as RowsAPI from './rows';
+
+export class Rows extends APIResource {
+  /**
+   * Update an inference data point in an inference pipeline.
+   */
+  stream(
+    inferencePipelineId: string,
+    params: RowStreamParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<RowStreamResponse> {
+    const { inferenceId, ...body } = params;
+    return this._client.put(`/inference-pipelines/${inferencePipelineId}/rows`, {
+      query: { inferenceId },
+      body,
+      ...options,
+    });
+  }
+}
+
+export interface RowStreamResponse {
+  success: true;
+}
+
+export interface RowStreamParams {
+  /**
+   * Query param: Specify the inference id as a query param.
+   */
+  inferenceId: string;
+
+  /**
+   * Body param:
+   */
+  row: unknown;
+
+  /**
+   * Body param:
+   */
+  config?: RowStreamParams.Config | null;
+}
+
+export namespace RowStreamParams {
+  export interface Config {
+    /**
+     * Name of the column with the ground truths.
+     */
+    groundTruthColumnName?: string | null;
+
+    /**
+     * Name of the column with human feedback.
+     */
+    humanFeedbackColumnName?: string | null;
+
+    /**
+     * 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.
+     */
+    inferenceIdColumnName?: string | null;
+
+    /**
+     * Name of the column with the latencies.
+     */
+    latencyColumnName?: string | null;
+
+    /**
+     * Name of the column with the timestamps. Timestamps must be in UNIX sec format.
+     * If not provided, the upload timestamp is used.
+     */
+    timestampColumnName?: string | null;
+  }
+}
+
+export namespace Rows {
+  export import RowStreamResponse = RowsAPI.RowStreamResponse;
+  export import RowStreamParams = RowsAPI.RowStreamParams;
+}

src/version.ts

@@ -1 +1 @@
-export const VERSION = '0.2.2'; // x-release-please-version
+export const VERSION = '0.3.0'; // x-release-please-version

tests/api-resources/inference-pipelines/rows.test.ts

@@ -0,0 +1,39 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+import Openlayer from 'openlayer';
+import { Response } from 'node-fetch';
+
+const openlayer = new Openlayer({
+  apiKey: 'My API Key',
+  baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010',
+});
+
+describe('resource rows', () => {
+  test('stream: only required params', async () => {
+    const responsePromise = openlayer.inferencePipelines.rows.stream('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
+      inferenceId: 'inferenceId',
+      row: {},
+    });
+    const rawResponse = await responsePromise.asResponse();
+    expect(rawResponse).toBeInstanceOf(Response);
+    const response = await responsePromise;
+    expect(response).not.toBeInstanceOf(Response);
+    const dataAndResponse = await responsePromise.withResponse();
+    expect(dataAndResponse.data).toBe(response);
+    expect(dataAndResponse.response).toBe(rawResponse);
+  });
+
+  test('stream: required and optional params', async () => {
+    const response = await openlayer.inferencePipelines.rows.stream('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e', {
+      inferenceId: 'inferenceId',
+      row: {},
+      config: {
+        inferenceIdColumnName: 'id',
+        latencyColumnName: 'latency',
+        timestampColumnName: 'timestamp',
+        groundTruthColumnName: 'ground_truth',
+        humanFeedbackColumnName: 'human_feedback',
+      },
+    });
+  });
+});