from openlayer import Openlayer

client = Openlayer()

inference_pipelines = client.projects.inference_pipelines.list("3fa85f64-5717-4562-b3fc-2c963f66afa6")
for inference_pipeline in inference_pipelines.items:
    print(inference_pipeline.id, inference_pipeline.name)

import Openlayer from 'openlayer';

const client = new Openlayer();

const inferencePipelines = await client.projects.inferencePipelines.list('3fa85f64-5717-4562-b3fc-2c963f66afa6');

console.log(inferencePipelines.items);

package main

import (
	"context"
	"fmt"

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

client := openlayer.NewClient()
pipelines, err := client.Projects.InferencePipelines.List(
	context.TODO(),
	"3fa85f64-5717-4562-b3fc-2c963f66afa6",
	openlayer.ProjectInferencePipelineListParams{
		Name: openlayer.F("production"),
	},
)
if err != nil {
	panic(err.Error())
}
fmt.Printf("%+v\n", pipelines.Items)

import com.openlayer.api.client.OpenlayerClient;
import com.openlayer.api.client.okhttp.OpenlayerOkHttpClient;
import com.openlayer.api.models.projects.inferencepipelines.InferencePipelineListParams;
import com.openlayer.api.models.projects.inferencepipelines.InferencePipelineListResponse;

OpenlayerClient client = OpenlayerOkHttpClient.fromEnv();

InferencePipelineListParams params = InferencePipelineListParams.builder()
    .projectId("3fa85f64-5717-4562-b3fc-2c963f66afa6")
    .name("production")
    .build();
InferencePipelineListResponse inferencePipelines = client.projects().inferencePipelines().list(params);

require "openlayer"

openlayer = Openlayer::Client.new(api_key: ENV["OPENLAYER_API_KEY"])

inference_pipelines = openlayer.projects.inference_pipelines.list("3fa85f64-5717-4562-b3fc-2c963f66afa6")

puts(inference_pipelines)

curl --request GET \
  --url https://api.openlayer.com/v1/projects/{projectId}/inference-pipelines \
  --header 'Authorization: Bearer <token>'

{
  "items": [
    {
      "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "projectId": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "name": "production",
      "dateCreated": "2024-03-22T11:31:01.185Z",
      "dateUpdated": "2024-03-22T11:31:01.185Z",
      "dateLastSampleReceived": "2024-03-22T11:31:01.185Z",
      "description": "This pipeline is used for production.",
      "dateLastEvaluated": "2024-03-22T11:31:01.185Z",
      "dateOfNextEvaluation": "2024-03-22T11:31:01.185Z",
      "passingGoalCount": 5,
      "failingGoalCount": 1,
      "totalGoalCount": 6,
      "status": "completed",
      "statusMessage": "Tests successfully evaluated",
      "links": {
        "app": "https://app.openlayer.com/myWorkspace/3fa85f64-5717-4562-b3fc-2c963f66afa6/inference-pipeline/3fa85f64-5717-4562-b3fc-2c963f66afa6"
      },
      "workspaceId": "055fddb1-261f-4654-8598-f6347ee46a09",
      "project": {
        "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
        "workspaceId": "055fddb1-261f-4654-8598-f6347ee46a09",
        "creatorId": "589ece63-49a2-41b4-98e1-10547761d4b0",
        "name": "My Project",
        "dateCreated": "2024-03-22T11:31:01.185Z",
        "dateUpdated": "2024-03-22T11:31:01.185Z",
        "source": "web",
        "taskType": "llm-base",
        "versionCount": 2,
        "inferencePipelineCount": 1,
        "goalCount": 10,
        "developmentGoalCount": 5,
        "monitoringGoalCount": 5,
        "links": {
          "app": "https://app.openlayer.com/myWorkspace/3fa85f64-5717-4562-b3fc-2c963f66afa6"
        },
        "description": "My project description.",
        "purpose": "Answer customer billing questions.",
        "modelTypes": [
          "llm"
        ],
        "modelDeveloper": "Acme AI",
        "dataRetentionDays": 30,
        "gitRepo": {
          "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
          "gitId": 123,
          "dateConnected": "2023-11-07T05:31:56Z",
          "dateUpdated": "2023-11-07T05:31:56Z",
          "name": "<string>",
          "private": true,
          "slug": "<string>",
          "url": "<string>",
          "projectId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
          "gitAccountId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
          "branch": "<string>",
          "rootDir": "<string>"
        }
      },
      "workspace": {
        "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "name": "Openlayer",
        "slug": "openlayer",
        "dateCreated": "2023-11-07T05:31:56Z",
        "dateUpdated": "2023-11-07T05:31:56Z",
        "creatorId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "projectCount": 1,
        "memberCount": 1,
        "inviteCount": 1,
        "periodStartDate": "2023-11-07T05:31:56Z",
        "periodEndDate": "2023-11-07T05:31:56Z",
        "status": "active",
        "wildcardDomains": [
          "<string>"
        ],
        "monthlyUsage": [
          {
            "monthYear": "2023-12-25",
            "predictionCount": 1,
            "executionTimeMs": 1
          }
        ],
        "samlOnlyAccess": true
      },
      "dateLastPolled": "2023-11-07T05:31:56Z",
      "totalRecordsCount": 1000,
      "dataBackend": {
        "backendType": "bigquery",
        "bigqueryConnectionId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "projectId": "my-project",
        "datasetId": "my-dataset",
        "tableId": "my-table",
        "partitionType": "DAY"
      }
    }
  ]
}

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