interactions:
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
  response:
    body:
      string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
        "name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
        "eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
        "tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
    headers:
      cache-control:
      - no-cache
      content-length:
      - '3630'
      content-type:
      - application/json; charset=utf-8
      expires:
      - '-1'
      pragma:
      - no-cache
      strict-transport-security:
      - max-age=31536000; includeSubDomains
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding,Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.046'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
  response:
    body:
      string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
        "name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
        "properties": {"description": null, "tags": null, "properties": null, "isDefault":
        true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
        null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
        "00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
        "containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
        "https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
        "systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
        "779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
        "2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
        "lastModifiedByType": "Application"}}]}'
    headers:
      cache-control:
      - no-cache
      content-length:
      - '1372'
      content-type:
      - application/json; charset=utf-8
      expires:
      - '-1'
      pragma:
      - no-cache
      strict-transport-security:
      - max-age=31536000; includeSubDomains
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding,Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.085'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
  response:
    body:
      string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
        "name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
        "properties": {"description": null, "tags": null, "properties": null, "isDefault":
        true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
        null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
        "00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
        "containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
        "https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
        "systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
        "779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
        "2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
        "lastModifiedByType": "Application"}}'
    headers:
      cache-control:
      - no-cache
      content-length:
      - '1227'
      content-type:
      - application/json; charset=utf-8
      expires:
      - '-1'
      pragma:
      - no-cache
      strict-transport-security:
      - max-age=31536000; includeSubDomains
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding,Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.122'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      Content-Length:
      - '0'
      User-Agent:
      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: POST
    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
  response:
    body:
      string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
    headers:
      cache-control:
      - no-cache
      content-length:
      - '134'
      content-type:
      - application/json; charset=utf-8
      expires:
      - '-1'
      pragma:
      - no-cache
      strict-transport-security:
      - max-age=31536000; includeSubDomains
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.145'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/xml
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
      x-ms-date:
      - Thu, 25 Jan 2024 09:06:13 GMT
      x-ms-version:
      - '2023-11-03'
    method: HEAD
    uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/simple_eager_flow_data.jsonl
  response:
    body:
      string: ''
    headers:
      accept-ranges:
      - bytes
      content-length:
      - '25'
      content-md5:
      - zt1zN1V/HR5p7N0Sh5396w==
      content-type:
      - application/octet-stream
      last-modified:
      - Tue, 23 Jan 2024 06:27:00 GMT
      server:
      - Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
      vary:
      - Origin
      x-ms-blob-type:
      - BlockBlob
      x-ms-creation-time:
      - Tue, 23 Jan 2024 06:26:59 GMT
      x-ms-meta-name:
      - 1e376ce4-7c3b-4683-82ad-412f5cd23626
      x-ms-meta-upload_status:
      - completed
      x-ms-meta-version:
      - 7e65351c-7e4b-4a4d-90f8-304eacdc36bc
      x-ms-version:
      - '2023-11-03'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/xml
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
      x-ms-date:
      - Thu, 25 Jan 2024 09:06:16 GMT
      x-ms-version:
      - '2023-11-03'
    method: HEAD
    uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/simple_eager_flow_data.jsonl
  response:
    body:
      string: ''
    headers:
      server:
      - Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
      transfer-encoding:
      - chunked
      vary:
      - Origin
      x-ms-error-code:
      - BlobNotFound
      x-ms-version:
      - '2023-11-03'
    status:
      code: 404
      message: The specified blob does not exist.
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
  response:
    body:
      string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
        "name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
        "properties": {"description": null, "tags": null, "properties": null, "isDefault":
        true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
        null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
        "00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
        "containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
        "https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
        "systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
        "779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
        "2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
        "lastModifiedByType": "Application"}}'
    headers:
      cache-control:
      - no-cache
      content-length:
      - '1227'
      content-type:
      - application/json; charset=utf-8
      expires:
      - '-1'
      pragma:
      - no-cache
      strict-transport-security:
      - max-age=31536000; includeSubDomains
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding,Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.136'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      Content-Length:
      - '0'
      User-Agent:
      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: POST
    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
  response:
    body:
      string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
    headers:
      cache-control:
      - no-cache
      content-length:
      - '134'
      content-type:
      - application/json; charset=utf-8
      expires:
      - '-1'
      pragma:
      - no-cache
      strict-transport-security:
      - max-age=31536000; includeSubDomains
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.116'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/xml
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
      x-ms-date:
      - Thu, 25 Jan 2024 09:06:19 GMT
      x-ms-version:
      - '2023-11-03'
    method: HEAD
    uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/simple_with_req/entry.py
  response:
    body:
      string: ''
    headers:
      accept-ranges:
      - bytes
      content-length:
      - '331'
      content-md5:
      - bf0G3F/eNgZO8UPfGebSUQ==
      content-type:
      - application/octet-stream
      last-modified:
      - Thu, 25 Jan 2024 08:57:55 GMT
      server:
      - Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
      vary:
      - Origin
      x-ms-blob-type:
      - BlockBlob
      x-ms-creation-time:
      - Thu, 25 Jan 2024 08:57:54 GMT
      x-ms-meta-name:
      - c42d946f-2978-4455-8a89-b768c66a9277
      x-ms-meta-upload_status:
      - completed
      x-ms-meta-version:
      - '1'
      x-ms-version:
      - '2023-11-03'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/xml
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
      x-ms-date:
      - Thu, 25 Jan 2024 09:06:23 GMT
      x-ms-version:
      - '2023-11-03'
    method: HEAD
    uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/simple_with_req/entry.py
  response:
    body:
      string: ''
    headers:
      server:
      - Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
      transfer-encoding:
      - chunked
      vary:
      - Origin
      x-ms-error-code:
      - BlobNotFound
      x-ms-version:
      - '2023-11-03'
    status:
      code: 404
      message: The specified blob does not exist.
- request:
    body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
      "LocalUpload/000000000000000000000000000000000000/simple_with_req/flow.dag.yaml",
      "runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
      {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/simple_eager_flow_data.jsonl"},
      "inputsMapping": {}, "connections": {}, "environmentVariables": {}, "runtimeName":
      "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
      "sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
      "runDisplayNameGenerationType": "UserProvidedMacro"}'
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      Content-Length:
      - '791'
      Content-Type:
      - application/json
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: POST
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
  response:
    body:
      string: '"name"'
    headers:
      connection:
      - keep-alive
      content-length:
      - '38'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      x-content-type-options:
      - nosniff
      x-request-time:
      - '6.962'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
  response:
    body:
      string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
        "flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
        "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
        "inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
        "promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
        "flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
        "studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
    headers:
      connection:
      - keep-alive
      content-length:
      - '1028'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.256'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
  response:
    body:
      string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
        "flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
        "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
        "inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
        "promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
        "flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
        "studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
    headers:
      connection:
      - keep-alive
      content-length:
      - '1028'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.369'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
  response:
    body:
      string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
        "flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
        "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
        "inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
        "promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
        "flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
        "studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
    headers:
      connection:
      - keep-alive
      content-length:
      - '1028'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.195'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
  response:
    body:
      string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
        "flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
        "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
        "inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
        "promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
        "flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
        "studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
    headers:
      connection:
      - keep-alive
      content-length:
      - '1028'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.154'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
  response:
    body:
      string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
        "flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
        "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
        "inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
        "promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
        "flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
        "studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
    headers:
      connection:
      - keep-alive
      content-length:
      - '1028'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.413'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/childRuns?endIndex=24&startIndex=0
  response:
    body:
      string: '[{"run_id": "name_0", "status": "Completed", "error": null, "inputs":
        {"input_val": "input1"}, "output": {"output": "Hello world! input1"}, "metrics":
        null, "request": null, "parent_run_id": "name", "root_run_id": "name", "source_run_id":
        null, "flow_id": "default_flow_id", "start_time": "2024-01-25T09:06:53.027652Z",
        "end_time": "2024-01-25T09:06:53.029602Z", "index": 0, "api_calls": [{"name":
        "my_flow", "type": "Function", "inputs": {"input_val": "input1"}, "output":
        "Hello world! input1", "start_time": 1706173613.028362, "end_time": 1706173613.029179,
        "error": null, "children": [], "node_name": null, "parent_id": "", "id": "8f02508e-dc43-4e37-a697-78946dcf2c03"}],
        "variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
        {"duration": 0.00195}, "result": {"output": "Hello world! input1"}, "upload_metrics":
        false}]'
    headers:
      connection:
      - keep-alive
      content-length:
      - '877'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.905'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/childRuns?endIndex=49&startIndex=25
  response:
    body:
      string: '[]'
    headers:
      connection:
      - keep-alive
      content-length:
      - '2'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.675'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
  response:
    body:
      string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
        "flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
        "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
        "inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
        "promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
        "flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
        "studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
    headers:
      connection:
      - keep-alive
      content-length:
      - '1028'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.417'
    status:
      code: 200
      message: OK
- request:
    body: '{}'
    headers:
      Accept:
      - '*/*'
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      Content-Length:
      - '2'
      Content-Type:
      - application/json
      User-Agent:
      - python-requests/2.31.0
    method: POST
    uri: https://eastus.api.azureml.ms/metric/v2.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/runs/name/lastvalues
  response:
    body:
      string: '{"value": [{"dataContainerId": "dcid.name", "name": "__pf__.lines.completed",
        "columns": {"__pf__.lines.completed": "Double"}, "properties": {"uxMetricType":
        "azureml.v1.scalar", "dataLocation": null}, "namespace": null, "standardSchemaId":
        null, "value": [{"metricId": "3b56e572-949e-4cdf-9691-3fd55fe5470a", "createdUtc":
        "2024-01-25T09:06:55.178+00:00", "step": 0, "data": {"__pf__.lines.completed":
        1.0}}]}, {"dataContainerId": "dcid.name", "name": "__pf__.lines.failed", "columns":
        {"__pf__.lines.failed": "Double"}, "properties": {"uxMetricType": "azureml.v1.scalar",
        "dataLocation": null}, "namespace": null, "standardSchemaId": null, "value":
        [{"metricId": "1b966973-ccb1-450f-82d8-cf17745b01b3", "createdUtc": "2024-01-25T09:06:55.662+00:00",
        "step": 0, "data": {"__pf__.lines.failed": 0.0}}]}]}'
    headers:
      connection:
      - keep-alive
      content-length:
      - '1240'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '1.547'
    status:
      code: 200
      message: OK
- request:
    body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
      "selectJobSpecification": true}'
    headers:
      Accept:
      - '*/*'
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      Content-Length:
      - '137'
      Content-Type:
      - application/json
      User-Agent:
      - python-requests/2.31.0
    method: POST
    uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
  response:
    body:
      string: '{"runMetadata": {"runNumber": 1706173599, "rootRunId": "name", "createdUtc":
        "2024-01-25T09:06:39.0044382+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
        "userPuId": "100320005227D154", "userIdp": null, "userAltSecId": null, "userIss":
        "https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
        "00000000-0000-0000-0000-000000000000", "userName": "Han Wang", "upn": null},
        "userId": "00000000-0000-0000-0000-000000000000", "token": null, "tokenExpiryTimeUtc":
        null, "error": null, "warnings": null, "revision": 6, "statusRevision": 3,
        "runUuid": "7db32729-6b4a-426b-9d8a-daf8cf60ba28", "parentRunUuid": null,
        "rootRunUuid": "7db32729-6b4a-426b-9d8a-daf8cf60ba28", "lastStartTimeUtc":
        null, "currentComputeTime": null, "computeDuration": "00:00:08.3010965", "effectiveStartTimeUtc":
        null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
        "userPuId": "100320005227D154", "userIdp": null, "userAltSecId": null, "userIss":
        "https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
        "00000000-0000-0000-0000-000000000000", "userName": "Han Wang", "upn": "username@microsoft.com"},
        "lastModifiedUtc": "2024-01-25T09:06:56.1006972+00:00", "duration": "00:00:08.3010965",
        "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
        null, "experimentId": "64465848-e4a8-42a2-a617-d7f0fcda6f32", "status": "Completed",
        "startTimeUtc": "2024-01-25T09:06:48.6457164+00:00", "endTimeUtc": "2024-01-25T09:06:56.9468129+00:00",
        "scheduleId": null, "displayName": "name", "name": null, "dataContainerId":
        "dcid.name", "description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
        "runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
        "computeType": null}, "properties": {"azureml.promptflow.runtime_name": "automatic",
        "azureml.promptflow.runtime_version": "20240116.v1", "azureml.promptflow.definition_file_name":
        "flow.dag.yaml", "azureml.promptflow.flow_lineage_id": "63d67b0b61e34b0527b5f3c46dfc953854138b2ffebc68175580285dc2d95663",
        "azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
        "azureml.promptflow.flow_definition_blob_path": "LocalUpload/79819672296a1785a95c65c8c0e75b0d/simple_with_req/flow.dag.yaml",
        "azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl",
        "_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.session_id":
        "b905697d9d04e1b8c87c12d30eb37326380d5cfeb7d0500e", "azureml.promptflow.snapshot_id":
        "d06599ce-0829-42a7-a641-370cd112bc25", "azureml.promptflow.run_mode": "Eager",
        "azureml.promptflow.total_tokens": "0", "_azureml.evaluate_artifacts": "[{\"path\":
        \"instance_results.jsonl\", \"type\": \"table\"}]"}, "parameters": {}, "actionUris":
        {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets": [],
        "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
        [], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
        null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
        null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
        false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
        "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
        "type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1",
        "type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
        null}'
    headers:
      connection:
      - keep-alive
      content-length:
      - '4485'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.030'
    status:
      code: 200
      message: OK
- request:
    body: null
    headers:
      Accept:
      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
      - keep-alive
      Content-Type:
      - application/json
      User-Agent:
      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
        Python/3.11.5 (Windows-10-10.0.22621-SP0)
    method: GET
    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/logContent
  response:
    body:
      string: '"2024-01-25 09:06:42 +0000     162 promptflow-runtime INFO     [name]
        Receiving v2 bulk run request 393a559d-2afa-4415-ae87-b7ec7966ab02: {\"flow_id\":
        \"name\", \"flow_run_id\": \"name\", \"flow_source\": {\"flow_source_type\":
        1, \"flow_source_info\": {\"snapshot_id\": \"d06599ce-0829-42a7-a641-370cd112bc25\"},
        \"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-25T08%3A48%3A12Z&ske=2024-01-26T16%3A58%3A12Z&sks=b&skv=2019-07-07&st=2024-01-25T08%3A56%3A40Z&se=2024-01-25T17%3A06%3A40Z&sp=rcw\",
        \"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
        \"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl\"},
        \"azure_storage_setting\": {\"azure_storage_mode\": 1, \"storage_account_name\":
        \"promptfloweast4063704120\", \"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
        \"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/name\", \"blob_container_sas_token\":
        \"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-25T09%3A06%3A40Z&ske=2024-02-01T09%3A06%3A40Z&sks=b&skv=2019-07-07&se=2024-02-01T09%3A06%3A40Z&sp=racwl\",
        \"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-25 09:06:42 +0000     162
        promptflow-runtime INFO     Runtime version: 20240116.v1. PromptFlow version:
        0.0.116642424\n2024-01-25 09:06:42 +0000     162 promptflow-runtime INFO     Updating
        name to Status.Preparing...\n2024-01-25 09:06:42 +0000     162 promptflow-runtime
        INFO     Downloading snapshot to /mnt/host/service/app/42871/requests/name\n2024-01-25
        09:06:42 +0000     162 promptflow-runtime INFO     Get snapshot sas url for
        d06599ce-0829-42a7-a641-370cd112bc25.\n2024-01-25 09:06:42 +0000     162 promptflow-runtime
        INFO     Snapshot d06599ce-0829-42a7-a641-370cd112bc25 contains 3 files.\n2024-01-25
        09:06:42 +0000     162 promptflow-runtime INFO     Download snapshot d06599ce-0829-42a7-a641-370cd112bc25
        completed.\n2024-01-25 09:06:42 +0000     162 promptflow-runtime INFO     Successfully
        download snapshot to /mnt/host/service/app/42871/requests/name\n2024-01-25
        09:06:42 +0000     162 promptflow-runtime INFO     About to execute a python
        flow.\n2024-01-25 09:06:42 +0000     162 promptflow-runtime INFO     Use spawn
        method to start child process.\n2024-01-25 09:06:42 +0000     162 promptflow-runtime
        INFO     Starting to check process 305 status for run name\n2024-01-25 09:06:43
        +0000     162 promptflow-runtime INFO     Start checking run status for run
        name\n2024-01-25 09:06:47 +0000     305 promptflow-runtime INFO     [162--305]
        Start processing flowV2......\n2024-01-25 09:06:47 +0000     305 promptflow-runtime
        INFO     Runtime version: 20240116.v1. PromptFlow version: 0.0.116642424\n2024-01-25
        09:06:47 +0000     305 promptflow-runtime INFO     Setting mlflow tracking
        uri...\n2024-01-25 09:06:47 +0000     305 promptflow-runtime INFO     Validating
        ''AzureML Data Scientist'' user authentication...\n2024-01-25 09:06:47 +0000     305
        promptflow-runtime INFO     Successfully validated ''AzureML Data Scientist''
        user authentication.\n2024-01-25 09:06:47 +0000     305 promptflow-runtime
        INFO     Using AzureMLRunStorageV2\n2024-01-25 09:06:47 +0000     305 promptflow-runtime
        INFO     Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-25
        09:06:47 +0000     305 promptflow-runtime INFO     Initialized blob service
        client for AzureMLRunTracker.\n2024-01-25 09:06:47 +0000     305 promptflow-runtime
        INFO     Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-25
        09:06:48 +0000     305 promptflow-runtime INFO     Resolve data from url finished
        in 0.603015494000033 seconds\n2024-01-25 09:06:48 +0000     305 promptflow-runtime
        INFO     Starting the aml run ''name''...\n2024-01-25 09:06:48 +0000     305
        execution          WARNING  Starting run without column mapping may lead to
        unexpected results. Please consult the following documentation for more information:
        https://aka.ms/pf/column-mapping\n2024-01-25 09:06:48 +0000     305 execution.bulk     INFO     Set
        process count to 1 by taking the minimum value among the factors of {''default_worker_count'':
        4, ''row_count'': 1}.\n2024-01-25 09:06:52 +0000     305 execution.bulk     INFO     Process
        name(ForkProcess-2:2:1)-Process id(375)-Line number(0) start execution.\n2024-01-25
        09:06:53 +0000     305 execution.bulk     INFO     Process name(ForkProcess-2:2:1)-Process
        id(375)-Line number(0) completed.\n2024-01-25 09:06:53 +0000     305 execution.bulk     INFO     Finished
        1 / 1 lines.\n2024-01-25 09:06:53 +0000     305 execution.bulk     INFO     Average
        execution time for completed lines: 5.0 seconds. Estimated time for incomplete
        lines: 0.0 seconds.\n2024-01-25 09:06:55 +0000     305 promptflow-runtime
        INFO     Post processing batch result...\n2024-01-25 09:06:56 +0000     305
        execution.bulk     INFO     Upload status summary metrics for run name finished
        in 0.8607595070000116 seconds\n2024-01-25 09:06:56 +0000     305 promptflow-runtime
        INFO     Successfully write run properties {\"azureml.promptflow.total_tokens\":
        0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
        \\\"type\\\": \\\"table\\\"}]\"} with run id ''name''\n2024-01-25 09:06:56
        +0000     305 execution.bulk     INFO     Upload RH properties for run name
        finished in 0.07683961700001873 seconds\n2024-01-25 09:06:56 +0000     305
        promptflow-runtime INFO     Creating unregistered output Asset for Run name...\n2024-01-25
        09:06:56 +0000     305 promptflow-runtime INFO     Created debug_info Asset:
        azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1\n2024-01-25
        09:06:56 +0000     305 promptflow-runtime INFO     Creating unregistered output
        Asset for Run name...\n2024-01-25 09:06:56 +0000     305 promptflow-runtime
        INFO     Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1\n2024-01-25
        09:06:56 +0000     305 promptflow-runtime INFO     Creating Artifact for Run
        name...\n2024-01-25 09:06:56 +0000     305 promptflow-runtime INFO     Created
        instance_results.jsonl Artifact.\n2024-01-25 09:06:56 +0000     305 promptflow-runtime
        INFO     Patching name...\n2024-01-25 09:06:56 +0000     305 promptflow-runtime
        INFO     Ending the aml run ''name'' with status ''Completed''...\n"'
    headers:
      connection:
      - keep-alive
      content-length:
      - '7934'
      content-type:
      - application/json; charset=utf-8
      strict-transport-security:
      - max-age=15724800; includeSubDomains; preload
      transfer-encoding:
      - chunked
      vary:
      - Accept-Encoding
      x-content-type-options:
      - nosniff
      x-request-time:
      - '0.632'
    status:
      code: 200
      message: OK
version: 1
