vania-janet/multiturn-rag-retrieval-data huggingface dataset:
I/O requests in flight 

Number of I/O requests in flight



Table 5: I/O requests in flight metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_in_flight 
 Metric type gauge 
 Value type none 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 







 Memory usage percentage 

Percent of used memory of the virtual server instance



Table 6: Memory usage percentage metric metadata

 Metadata Description 

 Metric name ibm_is_instance_memory_usage_percentage 
 Metric type gauge 
 Value type percent 
 Segment by IBM IS Generation, 1, resource name 







 Network received in bytes per second 

Bytes per second received for a network interface



Table 7: Network in bytes per second metric metadata

 Metadata Description 

 Metric name ibm_is_instance_network_in_bps 
 Metric type gauge 
 Value type byte 
 Segment by IBM IS Generation, 1, resource name, Network interface index 







 Network out bytes per second 

Bytes per second transmitted for a network interface



Table 8: Network out bytes per second metric metadata

 Metadata Description 

 Metric name ibm_is_instance_network_out_bps 
 Metric type gauge 
 Value type none 
 Segment by IBM IS Generation, 1, resource name, Network interface index 







 Total memory 

Total memory of the virtual server instance in kibibytes (1024 bytes)



Table 9: Total memory in kibibytes metric metadata

 Metadata Description 

 Metric name ibm_is_instance_memory_total_kib 
 Metric type gauge 
 Value type byte 
 Segment by IBM IS Generation, 1, resource name 







 Volume I/O throughput read 

Data read from the volume (MiB/s).



Table 10: Volume I/O throughput read metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_io_throughput_read_mib 
 Metric type gauge 
 Value type byte 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 







 Volume I/O throughput total 

All volume I/O, in MiB/s.
[Reserved disk space percentage](https://cloud.ibm.com/docs/EventStreams?topic=EventStreams-metricsibm_eventstreams_instance_reserved_disk_space_percent) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/e0c3acba1296ff980e76d5db456d53adefaabba4/icons/checkmark-icon.svg) 
 [Rest-producer requests per second](https://cloud.ibm.com/docs/EventStreams?topic=EventStreams-metricsibm_eventstreams_instance_rest_producer_requests_per_sec) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/e0c3acba1296ff980e76d5db456d53adefaabba4/icons/checkmark-icon.svg) 
 [Schema greatest version percentage](https://cloud.ibm.com/docs/EventStreams?topic=EventStreams-metricsibm_eventstreams_instance_schema_registry_schema_versions_greatest_percentage) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/e0c3acba1296ff980e76d5db456d53adefaabba4/icons/checkmark-icon.svg) 
 [Schema used percentage](https://cloud.ibm.com/docs/EventStreams?topic=EventStreams-metricsibm_eventstreams_instance_schema_registry_schemas_used_percentage) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/e0c3acba1296ff980e76d5db456d53adefaabba4/icons/checkmark-icon.svg)
Ports that are used by applications](https://cloud.ibm.com/docs-content/v1/content/f89cc64b006ca59b35404693959c83d5747fee3e/sap//images/quickstudy-intel-vs-gen2-win-PS-Listen.png)

Figure 1. Ports that are used by applications









 Additional information 

If you don't have an IBM Cloud API key, the IMCS can't collect all of the metrics that are required by SAP, which include

* Network Adapter Mapping - replaced with local MAC ID.
* Network Adapter Bandwidth - Port Speed - defaults to 0.
* Disk Volume Mapping - replaced with Volume Attachment ID.
* Disk Guaranteed IOPS - defaults to 0.

You must provide an API key so that all metrics can be collected. Otherwise, this virtual server is not fully supported by SAP.
],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0]]},{"name":"QId_d25","samples":0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0
The following table displays the total usage for the VMware single-tenant site cluster CPU.



Table 2: CPU usage metadata

 Metadata Description 

 Metric Name ibm_vmware_directorsite_cluster_cpu_usage_percent 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance, VMware Site cluster, Service instance name 







 Cluster memory usage 

The following table displays the total usage for the VMware single-tenant site cluster memory.



Table 3: Memory usage metadata

 Metadata Description 

 Metric Name ibm_vmware_directorsite_cluster_memory_usage_percent 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance, VMware Site cluster, Service instance name 







 Cluster 0.25 IOPS/GB storage usage 

The following table displays the total usage for the VMware single-tenant cluster storage for 0.25 IOPS/GB.



Table 4: 0.25 IOPS/GB storage usage metadata

 Metadata Description 

 Metric Name ibm_vmware_directorsite_cluster_storage_point_two_five_iopsgb_usage_percent 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance, VMware Site cluster, Service instance name 







 Cluster 2 IOPS/GB storage usage 

The following table displays the total usage for the VMware single-tenant cluster storage for 2 IOPS/GB.



Table 5: 2 IOPS/GB storage usage metadata

 Metadata Description 

 Metric Name ibm_vmware_directorsite_cluster_storage_two_iopsgb_usage_percent 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance, VMware Site cluster, Service instance name 







 Cluster 4 IOPS/GB storage usage 

The following table displays the total usage for the VMware single-tenant cluster storage for 4 IOPS/GB.



Table 6: 4 IOPS/GB storage usage metadata

 Metadata Description 

 Metric Name ibm_vmware_directorsite_cluster_storage_four_iopsgb_usage_percent 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance, VMware Site cluster, Service instance name 







 Cluster 10 IOPS/GB storage usage
Volume write I/O operations per second 

Write requests per second.



Table 19: Volume write I/O operations per second metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_write_iops 
 Metric type gauge 
 Value type none 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume 







 Volume write latency 

Write latency from volume, in microseconds



Table 20: Volume write latency metric metadata

 Metadata Description 

 Metric name ibm_is_instance_volume_write_latency_microseconds 
 Metric type gauge 
 Value type second 
 Segment by IBM IS Generation, 1, resource name, disk name of the volume, UUID of storage volume
(https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_disk_used_bytes) 
 [Used memory for an instance.](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases-for-enterprisedb_memory_used_bytes) 
 [WAL logs size in bytes](https://cloud.ibm.com/docs/databases-for-enterprisedb?topic=databases-for-enterprisedb-monitoringibm_databases_for_enterprisedb_wal_used_bytes) 





 Blocks hit rate 

Blocks hit rate



Table 2: Blocks hit rate metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_blocks_hit_rate 
 Metric Type gauge 
 Value Type rate 
 Segment By Service instance 







 Blocks read rate 

Blocks read rate



Table 3: Blocks read rate metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_blocks_read_rate 
 Metric Type gauge 
 Value Type rate 
 Segment By Service instance 







 Buffers backend rate 

Buffers backend rate



Table 4: Buffers backend rate metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_buffers_backend_rate 
 Metric Type gauge 
 Value Type rate 
 Segment By Service instance 







 Buffers checkpoint rate 

Buffers checkpoint rate



Table 5: Buffers checkpoint rate metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_buffers_checkpoint_rate 
 Metric Type gauge 
 Value Type rate 
 Segment By Service instance 







 Cache hit ratio 

Cache hit ratio



Table 6: Cache hit ratio metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_cache_hit_ratio 
 Metric Type gauge 
 Value Type percent 
 Segment By Service instance 







 Deadlocks count 

Deadlocks count



Table 7: Deadlocks count metric metadata

 Metadata Description 

 Metric Name ibm_databases_for_enterprisedb_deadlocks_count
cpu.iowait.percent Percentage of time that the CPUs were idle and the system did an outstanding disk I/O requests 
 cpu.nice.percent Percentage of user level CPU utilization with 'Nice' priority 
 cpu.stolen.percent Percentage of time that a virtual machine CPU is in a state of involuntary wait because the physical CPU is shared among virtual machines. 
 cpu.system.percent Percentage of system level CPU utilization 
 cpu.used.percent Percentage of system level CPU utilization 
 cpu.user.percent Percentage of user level CPU utilization 
 load.average.percpu.1m Average number of jobs in the CPU run queue or waiting for disk I/O averaged over 1 minute for all cores. 
 load.average.percpu.5m Average number of jobs in the CPU run queue or waiting for disk I/O averaged over 5 minutes for all cores 
 load.average.percpu.15m Average number of jobs in the CPU run queue or waiting for disk I/O averaged over 15 minutes for all cores 
 memory.bytes.available Available memory 
 memory.bytes.total Total memory of a host 
 memory.bytes.used Total memory used 
 memory.bytes.virtual Physical memory in use 
 memory.pageFault.major Count of the condition that occurs when a program accesses a memory page that is mapped in the virtual address space, but not loaded in physical memory 
 memory.pageFault.minor A count of the condition in which a memory page was loaded in memory at the time the page fault was generated, but was not marked in the memory management unit as being loaded in memory. 
 memory.swap.bytes.available The swap memory available. Determined by the sum of the free and cached swap memory. 
 memory.swap.bytes.total Total amount of swap memory 
 memory.swap.bytes.used Amount of swap memory used 
 memory.swap.used.percent Percentage of swap memory used 
 memory.used.percent Percentage of physical memory in use 
 file.bytes.in Bytes read from the file 
 file.bytes.out Bytes writtem to the file 
 file.bytes.total Total number of bytes written to, and read from, the file 
 file.iops.in File read operations per second 
 file.iops.out File write operations per second
[IBM Appconfig Instance Unauth Request](https://cloud.ibm.com/docs/app-configuration?topic=app-configuration-ac-monitoringibm_apprapp_instance_unauth) Yes Yes Yes 





 IBM Appconfig Instance API request 

API request count per instance: Count of config API requests made from the SDK.



Table 3. API request metadata

 Metadata Description 

 Metric Name ibm_apprapp_instance_api_request 
 Metric Type gauge 
 Value Type none 
 Segment By ibm_ctype, ibm_service_name, ibm_location, ibm_scope, ibm_service_instance, ibm_apprapp_instance_id 







 IBM Appconfig Evaluation Count 

Evaluation count per instance: Count of feature or property evaluations in the SDK.



Table 4. Evaluation metadata

 Metadata Description 

 Metric Name ibm_apprapp_instance_evaluation 
 Metric Type gauge 
 Value Type none 
 Segment By ibm_ctype, ibm_service_name, ibm_location, ibm_scope, ibm_service_instance, ibm_apprapp_instance_id 







 IBM Appconfig Instance unauth request 



Table 5. Instance metadata

 Metadata Description 

 Metric Name ibm_apprapp_instance_unauth_request 
 Metric Type gauge 
 Value Type none 
 Segment By ibm_ctype, ibm_service_name, ibm_location, ibm_scope, ibm_service_instance, ibm_apprapp_instance_id
,0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0]]},{"name":"QId_d14","samples":0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0],0,0]
Number of failure plan actions ibm_schematics_workspace_count{ibm_schematics_workspace_action = ”Plan”, ibm_schematics_workspace_action_status="failure"} 



You can create similar queries to fetch apply, destroy, and plan actions.





 ibm_schematics_vulnerability_count 

Average vulnerability count of the workspaces is stated in the table.



Vulnerability count

 Metadata Description 

 Metric Name ibm_schematics_workspace_vulnerability_count 
 Metric Type gauge 
 Frequency 60 minutes 
 Unit none 
 Labels [ibm_schematics_vulnerability_count, such as average] 



For the Schematics instance, following time series counts and charts are derived from ibm_schematics_workspace_vulnerability_count metric.



Vulnerability count of Schematics Workspace

 Status Query 

 Number of workspaces currently managed avg(avg(ibm_schematics_vulnerability_count))
In this example, h(5...10) requires a(5...10), which in turn requires v(4...10), which then requires x(3...10). Only the relevant portions of a(t), v(t) and x(t) are evaluated.

h(5...10) <-- a(5...10) <-- v(4...10) <-- x(3...10)

Furthermore, evaluations are memoized and can thus be reused in subsequent actions on h. For example, when a request for h(7...12) follows a request for h(5...10), the memoized values h(7...10) would be leveraged; further, h(11...12) would be evaluated using a(11...12), v(10...12) and x(9...12), which would in turn leverage v(10) and x(9...10) memoized from the prior computation.

In a more general example, you could define a smoothened velocity timeseries as follows:

 1d location timeseries
x(t) = input location timeseries

 velocity - first derivative of x(t)
v(t) = x(t) - x(t-1)

 smoothened velocity
 alpha is the smoothing factor
 n is a smoothing history
v_smooth(t) = (v(t)1.0 + v(t-1)alpha + ... + v(t-n)alpha^n) / (1 + alpha + ... + alpha^n)

 acceleration - second derivative of x(t)
a(t) = v_smooth(t) - v_smooth(t-1)

In this example h(l...u) has the following temporal dependency. Evaluation of h(l...u) would strictly adhere to this temporal dependency with memoization.
[ibm_functions_status_error_application](https://cloud.ibm.com/docs/openwhisk?topic=openwhisk-monitor-functionsibm_functions_status_error_application) 
 [ibm_functions_status_error_developer](https://cloud.ibm.com/docs/openwhisk?topic=openwhisk-monitor-functionsibm_functions_status_error_developer) 
 [ibm_functions_status_error_internal](https://cloud.ibm.com/docs/openwhisk?topic=openwhisk-monitor-functionsibm_functions_status_error_internal) 
 [ibm_functions_status_success](https://cloud.ibm.com/docs/openwhisk?topic=openwhisk-monitor-functionsibm_functions_status_success) 
 [ibm_functions_timed_rate_limit](https://cloud.ibm.com/docs/openwhisk?topic=openwhisk-monitor-functionsibm_functions_timed_rate_limit) 
 [ibm_functions_wait_time](https://cloud.ibm.com/docs/openwhisk?topic=openwhisk-monitor-functionsibm_functions_wait_time) 





 ibm_functions_activation 

The overall number of activations that were triggered on the system.



Table 2: Activations metric metadata

 Metadata Description 

 Metric Name ibm_functions_activation 
 Metric Type counter 
 Value Type none 
 Segment By Service instance, ibm_functions_namespace, ibm_functions_package, ibm_functions_action 







 ibm_functions_concurrent_invocations 

The number of concurrent invocations on the system.



Table 3: Concurrent invocations metric metadata

 Metadata Description 

 Metric Name ibm_functions_concurrent_invocations 
 Metric Type gauge 
 Value Type none 
 Segment By Service instance, ibm_functions_namespace, ibm_functions_package, ibm_functions_action 







 ibm_functions_concurrent_rate_limit 

The sum of activations that were throttled due to exceeding the concurrency rate limit.
0.001043147873133421],0.002059130696579814,0.001048642909154296],0.0021647983230650425,0.001054057152941823],0.002268822630867362,0.0010593872284516692],0.002371136797592044,0.0010646297596395016],0.0024716746993362904,0.0010697811376303434],0.0025703709106892347,0.0010748382192105055],0.0026671607047319412,0.0010797976283356547],0.0027619805186986923,0.00108465610537678],0.002854767255485058,0.0010894103907048702],0.002945458982139826,0.001094057341106236],0.003033994697034359,0.001098593813367188],0.0031203150283545256,0.0011030167806893587],0.003204361069947481,0.0011073232162743807],0.003286075545474887,0.0011115100933238864],0.003365402342751622
AU-14 - Session Audit 



  Control requirements 

AU-14 - 0
:   The information system provides the capability for authorized users to select a user session to capture/record or view/hear.





  Implementation guidance 

See the resources that follow to learn more about how to implement this control.



*  [Running operator actions through a bastion host](https://cloud.ibm.com/docs/framework-financial-services?topic=framework-financial-services-vpc-architecture-connectivity-bastion)







  NIST supplemental guidance 

Session audits include, for example, monitoring keystrokes, tracking websites visited, and recording information and/or file transfers. Session auditing activities are developed, integrated, and used in consultation with legal counsel in accordance with applicable federal laws, Executive Orders, directives, policies, regulations, or standards.
[Yes](https://cloud.ibm.com/docs-content/v1/content/ca9232b3702768f24bb897f48f10778fcda28718/watson-assistant/images/checkmark-icon.svg) ![Yes](https://cloud.ibm.com/docs-content/v1/content/ca9232b3702768f24bb897f48f10778fcda28718/watson-assistant/images/checkmark-icon.svg) 
 pause ![Yes](https://cloud.ibm.com/docs-content/v1/content/ca9232b3702768f24bb897f48f10778fcda28718/watson-assistant/images/checkmark-icon.svg) ![Yes](https://cloud.ibm.com/docs-content/v1/content/ca9232b3702768f24bb897f48f10778fcda28718/watson-assistant/images/checkmark-icon.svg) ![Yes](https://cloud.ibm.com/docs-content/v1/content/ca9232b3702768f24bb897f48f10778fcda28718/watson-assistant/images/checkmark-icon.svg) 
 speech_to_text ![Yes](https://cloud.ibm.com/docs-content/v1/content/ca9232b3702768f24bb897f48f10778fcda28718/watson-assistant/images/checkmark-icon.svg) 
 start_activities ![Yes](https://cloud.ibm.com/docs-content/v1/content/ca9232b3702768f24bb897f48f10778fcda28718/watson-assistant/images/checkmark-icon.svg) 
 stop_activities !
* [IBM Cloud for Financial Services profile](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-12scc-fs-cloud-profile)
* [NIST supplemental guidance](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-12nist-supplemental-guidance)



[AU-13 - Monitoring for Information Disclosure](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-13au-13)



* [Control requirements](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-13control-requirements)
* [NIST supplemental guidance](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-13nist-supplemental-guidance)



[AU-14 - Session Audit](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-14au-14)



* [Control requirements](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-14control-requirements)
* [Implementation guidance](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-14implementation-guidance)
* [NIST supplemental guidance](https://cloud.ibm.com/docs/framework-financial-services-controls?topic=framework-financial-services-controls-au-14nist-supplemental-guidance)







 Security Assessment and Authorization (CA)
PE-6 (1) - Intrusion Alarms / Surveillance Equipment 



  Control requirements 

PE-6 (1) - 0
:   The organization monitors physical intrusion alarms and surveillance equipment.
[Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/checkmark-icon.svg) 
 sysdig-monitor.global.notification-channels.read View global notification channels. ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/checkmark-icon.svg) ![Checkmark icon](https://cloud.ibm.com/docs-content/v1/content/220cdcbf6f4421bd7fee83fd1028048dba3f16c8/monitoring/images/checkmark-icon.svg) !
[Check mark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) ![Check mark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) ![Check mark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) 
 Use dashboards to monitor events ![Check mark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) ![Check mark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) ![Check mark icon](https://cloud.ibm.com/docs-content/v1/content/6f3c07c34058f637b1c86044ca4f9b24214330a7/activity-tracker/images/checkmark-icon.svg) 
 Use screens to monitor events !
},
"response":
{
"barge_in_occurred": true,
"streaming_statistics": {
"response_milliseconds": 301,
"start_timestamp": "2021-10-12T20:54:00.722Z",
"stop_timestamp": "2021-10-12T20:54:01.023Z",
"transaction_id": "3dce431c-fb2f-4b62-9fce-585f4e06fe00"
},
"type": "text_to_speech"
}
]
},
{
"assistant": {
"log_id": "38f36bfb-c2aa-4600-9418-6ab422664e31",
"response_milliseconds": 158,
"start_timestamp": "2021-10-12T20:54:05.621Z"
},
"request": {
"type": "dtmf"
},
"response":
{
"type": "disable_speech_barge_in"
},
{
"type": "text_to_speech",
"barge_in_occurred": false,
"streaming_statistics": {
"transaction_id": "af4c47c3-5cc4-43c8-9b9c-81d6f997c52f",
"start_timestamp": "2021-10-12T20:54:06.321Z",
"stop_timestamp": "2021-10-12T20:54:14.338Z",
"response_milliseconds": 535
}
},
{
"type": "enable_speech_barge_in"
},
{
"type": "text_to_speech",
"barge_in_occurred": true,