vania-janet/multiturn-rag-retrieval-data huggingface dataset:
As a result, some responses might include old data while the new data propagates through the system.





 Changing the approach 

Maintaining one consistent view of data is logical and easy to understand because a relational database does this work for you. The expectation is that web-based services that interact with database systems behave in this way. But that expectation doesn't mean that they do work this way. Consistency isn't a given, and it takes a little work to change the approach.

In fact, consistency isn't necessarily essential for many enterprise cloud services. Large, heavily used systems bring with them a high probability that a portion of the system might fail. A database that is engineered around the need to prioritize availability and eventual consistency is better suited to keeping your application online. The consistency of application data can be addressed after the fact.





 Application availability versus consistency in the enterprise 

A look at popular web-based services shows that people already expect high availability, and happily trade this availability for eventually consistent data, often without realizing they're doing so.

Many applications mislead users for the sake of availability. Consider ATMs: inconsistent banking data is why it's still possible to overdraft money without realizing it. It's unrealistic to present a consistent view of your account balance throughout the entire banking system if every node in the network must halt and record this figure before operations continue. A better choice is to make the system highly available.

The banking industry figured it out back in the 1980s, but many IT organizations are still worried about sacrificing consistency for the sake of availability. Think about the number of support calls placed when your sales team can't access their CRM app. Now consider whether they would even notice when it takes a few seconds for a database update to propagate throughout the application.

Availability trumps consistency more than you might expect. Online shopping cart systems, HTTP caches, and DNS are a few more examples. Organizations must consider the cost of downtime such as user frustration, productivity loss, and missed opportunities.





 From theory to implementation 

Addressing high availability is vital for cloud applications. Otherwise, global database consistency stays a major bottleneck as you scale.
Schematics isn't able to provision the cluster, and you are seeing the following example error message:

"code": "validation_unique_failed",
"message": "Provided Name (sample-symphony-vpc) is not unique",
"target": {
"name": "name",
"type": "field",
"value": "sample-symphony-vpc"
}

 Why it’s happening 

VPC resource names must be unique. If a resource exists with the same name, you might get a similar error.

 How to fix it 

Deprovision the existing resource and try again.





 Why is IBM Cloud Schematics not able to provision the cluster while using a custom image? 

While using a custom image, Schematics isn't able to provision the cluster, and you are seeing one of the following error messages:

 What’s happening 



* The argument "image" is required, but no definition was found.
* Unknown variable. There is no variable named "image_id".



 Why it’s happening 

The custom image that is used for one of the virtual server instances isn't present in the target region and zone or it is not accessible by the account and API key that is used to provision the cluster.

 How to fix it 

If you are using a custom image for any of your virtual server instances, ensure that the custom image is available in the target region and zone and is accessible by the account and API key that is used to provision the cluster.





 Why am I receiving an error for my refresh token? 

 What’s happening 

You are receiving a refresh token error in the generate a plan, apply a plan, and destroy resources requests: Error: The provided Refresh Token is invalid. Please provide a proper refresh token for Terraform to run the configuration. Code: 400

 Why it’s happening 

You didn't provide the correct refresh token, or you didn't provide a refresh token altogether.

 How to fix it 

Check to see whether the refresh token that was generated by using the curl command is correct; otherwise, regenerate the refresh token.
Provide a valid value and try again.

Refer to the [API documentation](https://cloud.ibm.com/apidocs/vpc-on-classic) for additional help. If this problem persists, [contact support](https://cloud.ibm.com/docs/vpc-on-classic?topic=vpc-on-classic-getting-help-and-support).





 bad_request 

Message: The information given was invalid, malformed, or missing a required field.

The request was not what we expected. Use the [API documentation](https://cloud.ibm.com/apidocs/vpc-on-classic) to help you format the request.

If you are following the specification but still get the error, [contact support](https://cloud.ibm.com/docs/vpc-on-classic?topic=vpc-on-classic-getting-help-and-support).





 classic_access_vpc_conflict_duplicate_res 

Message: Only one VPC with Classic Access can be created per region.

Only one VPC with Classic Access can be created per region. To list the VPC with Classic Access, run ibmcloud is vpcs --classic-access. The existing VPC with Classic Access must be deleted before another one with Classic Access can be created.





 classic_access_vpc_account_not_VRF_enabled 

Message: Account must be VRF-enabled to create a classic access VPC.

The linked classic account is not VRF-enabled. A classic access VPC requires the linked classic account to be VRF-enabled. To enable your account for VRF, refer to [VRF on IBM Cloud](https://cloud.ibm.com/docs/vpc-on-classic?topic=vpc-on-classic-setting-up-access-to-your-classic-infrastructure-from-vpcvrf-conversion).





 cos_file_too_large 

Message: The file from Cloud Object Storage is greater than 100 GB.

The file specified is too large. Only files less than 100 GB are allowed.
Check for Save it as Prompt Follow-up if found Follow-up if not found 

 @size $size What size pizza would you like? $size it is. What size did you want? We have small, medium, and large. 
 @sys-time $time When do you need the pizza by? For delivery by $time. What time did you want it delivered? We need at least a half hour to prepare it. 



5. Add slot value validation: If you want different follow-up statements to be shown based on whether the user provides the information you need in response to the initial slot prompt, you can edit the slot (by clicking the Customize slot![Customize slot](https://cloud.ibm.com/docs-content/v1/content/417db917d18067d9dcc4cf2612564a9a87c3ddc8/assistant/images/edit-slot.png) icon) and define the follow-up statements:

Found: Displayed after the user provides the expected information.

Not found: Displayed only if the information provided by the user is not understood, which means all of the following are true:



* None of the active slots in the node are filled successfully
* No slot handlers are understood
* If digressions away are enabled for the node, no top-level dialog nodes are triggered as a digression from slot filling



For information about how to define conditions and associated actions for Found and Not found responses, see [Adding conditions to Found and Not found responses](https://cloud.ibm.com/docs/assistant?topic=assistant-dialog-slotsdialog-slots-handler-next-steps).
6. Make a slot optional or disable it under certain conditions. You can optionally configure a slot in these ways:



* Optional: To make a slot optional, add a slot without a prompt. Your assistant does not ask the user for the information, but it does look for the information in the user input, and saves the value if the user provides it. For example, you might add a slot that captures dietary restriction informations in case the user specifies any.
The base_model_version parameter is intended primarily for use with custom models that are updated for a new base model, but it can be used without a custom model. The version of a base model that is used for a request depends both on whether you pass the base_model_version parameter and on whether you specify a custom model (language, acoustic, or both) with the request:



* If you specify a custom model with the request:



* Omit the base_model_version parameter to use the latest version of the base model to which the custom model is upgraded. For example, if the custom model is upgraded to the latest version of the base model, the service uses the latest versions of the base and custom models.
* Specify the base_model_version parameter to use the specified versions of both the base and custom models.



* If you do not specify a custom model with the request:



* Omit the base_model_version parameter to use the latest version of the base model.
* Specify the base_model_version parameter to use a specific version of the base model.





To encourage upgrading, the service returns a warning message with speech recognition results that use custom models that are based on older base models.

Because the base_model_version parameter is intended primarily for use with custom models, listing information about a custom model is the only way to see the available versions of a base model.



 Considerations for using custom acoustic and custom language models together 

In addition to the behavior described in the previous topic, the service considers the upgrade status of the models that are passed with a speech recognition request. If you pass both custom language and custom acoustic models with a request, the service applies the following guidelines when deciding on the base model version to use with the request:



* If both custom models are based on the older base model, the service uses the old base model for recognition.
* If both custom models are based on the newer base model, the service uses the new base model for recognition.
* If only one of the two custom models is upgraded to the newer base model, the service uses the old base model for recognition. The old base model is the version that the two custom models have in common.
For purposes of this definition, "control" includes the right to grant patent sublicenses in a manner consistent with the requirements of this License.Each contributor grants you a non-exclusive, worldwide, royalty-free patent license under the contributor's essential patent claims, to make, use, sell, offer for sale, import and otherwise run, modify and propagate the contents of its contributor version.In the following three paragraphs, a "patent license" is any express agreement or commitment, however denominated, not to enforce a patent (such as an express permission to practice a patent or covenant not to sue for patent infringement). To "grant" such a patent license to a party means to make such an agreement or commitment not to enforce a patent against the party.If you convey a covered work, knowingly relying on a patent license, and the Corresponding Source of the work is not available for anyone to copy, free of charge and under the terms of this License, through a publicly available network server or other readily accessible means, then you must either (1) cause the Corresponding Source to be so available, or (2) arrange to deprive yourself of the benefit of the patent license for this particular work, or (3) arrange, in a manner consistent with the requirements of this License, to extend the patent license to downstream recipients. "Knowingly relying" means you have actual knowledge that, but for the patent license, your conveying the covered work in a country, or your recipient's use of the covered work in a country, would infringe one or more identifiable patents in that country that you have reason to believe are valid.If, pursuant to or in connection with a single transaction or arrangement, you convey, or propagate by procuring conveyance of, a covered work, and grant a patent license to some of the parties receiving the covered work authorizing them to use, propagate, modify or convey a specific copy of the covered work, then the patent license you grant is automatically extended to all recipients of the covered work and works based on it.A patent license is "discriminatory" if it does not include within the scope of its coverage, prohibits the exercise of, or is conditioned on the non-exercise of one or more of the rights that are specifically granted under this License.
Making a speech recognition request 

To request speech recognition with the IBM Watson® Speech to Text service, you need to provide only the audio that is to be transcribed. The service offers the same basic transcription capabilities with each of its interfaces: the WebSocket interface, the synchronous HTTP interface, and the asynchronous HTTP interface.

The examples that follow show basic transcription requests, with no optional parameters, for each of the service's interfaces:



* The examples submit a brief FLAC file named [audio-file.flac](https://watson-developer-cloud.github.io/doc-tutorial-downloads/speech-to-text/audio-file.flac).
* The examples use the default language model, en-US_BroadbandModel. For more information, see [Using the default model](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-models-usemodels-use-default).



[Understanding speech recognition results](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-basic-response) describes the service's response for these examples.



 Usage requirements 

Consider the following basic usage requirements when you make a speech recognition request:



* Method names are case-sensitive.
* HTTP request headers are case-insensitive.
* HTTP and WebSocket query parameters are case-sensitive.
* JSON field names are case-sensitive.
* All JSON response content is in the UTF-8 character set.
* Braces ({ }) are used in the documentation to indicate variable values. Omit the braces when supplying variable values.



Also consider the following service-specific requirements:



* You need to specify only the input audio. All other parameters are optional.
* If necessary, make sure to specify the model parameter to indicate a model that is appropriate for your language and audio.
* If you specify an invalid query parameter or JSON field as part of the input, the response includes a warnings field that describes the invalid argument. The request succeeds despite any warnings.







 Sending audio with a request
It is only required to specify the unique resource by name inside this VPC.
* --output: Specify output format, only JSON is supported. One of: JSON.
* -q, --quiet: Suppress verbose output.



--------------------







 ibmcloud is vpn-gateway-create 

Create a VPN gateway.

ibmcloud is vpn-gateway-create VPN_GATEWAY_NAME SUBNET [--mode policy | route] [--resource-group-id RESOURCE_GROUP_ID | --resource-group-name RESOURCE_GROUP_NAME] [--output JSON] [-q, --quiet]



 Command examples 



* ibmcloud is vpn-gateway-create my-vpn-gateway fee82deba12e4c0fb69c3b09d1f12345 --mode route
* ibmcloud is vpn-gateway-create my-vpn-gateway my-subnet --vpc my-vpc --mode route
* ibmcloud is vpn-gateway-create my-vpn-gateway fee82deba12e4c0fb69c3b09d1f12345 --mode policy
* ibmcloud is vpn-gateway-create my-vpn-gateway my-subnet --vpc my-vpc --mode policy
* ibmcloud is vpn-gateway-create my-vpn-gateway fee82deba12e4c0fb69c3b09d1f12345 --mode route --resource-group-name Default
* ibmcloud is vpn-gateway-create my-vpn-gateway fee82deba12e4c0fb69c3b09d1f12345 --mode route --resource-group-id fee82deba12e4c0fb69c3b09d1f12345 --output JSON







 Command options 



* VPN_GATEWAY_NAME: Name of the VPN gateway.
* SUBNET: ID or name of the subnet.
Determining where the problem originates is not always easy, but it is one of the most important steps in resolving a problem. Many layers of technology can exist between the reporting and failing components. Networks, disks, and drivers are only a few of the components to consider when you are investigating problems.

The following questions help you to focus on where the problem occurs to isolate the problem layer:



* Is the problem specific to one platform or operating system, or is it common across multiple platforms or operating systems?
* Is the current environment and configuration supported?
* Do all users have the problem?
* (For multi-site installations.) Do all sites have the problem?



If one layer reports the problem, the problem does not necessarily originate in that layer. Part of identifying where a problem originates is understanding the environment in which it exists. Take some time to completely describe the problem environment, including the operating system and version, all corresponding software and versions, and hardware information. Confirm that you are running within an environment that is a supported configuration; many problems can be traced back to incompatible levels of software that are not intended to run together or have not been fully tested together.





 When does the problem occur? 

Develop a detailed timeline of events leading up to a failure, especially for those cases that are one-time occurrences. You can most easily develop a timeline by working backward: Start at the time an error was reported (as precisely as possible, even down to the millisecond), and work backward through the available logs and information. Typically, you need to look only as far as the first suspicious event that you find in a diagnostic log.

To develop a detailed timeline of events, answer these questions:



* Does the problem happen only at a certain time of day or night?
* How often does the problem happen?
* What sequence of events leads up to the time that the problem is reported?
* Does the problem happen after an environment change, such as upgrading or installing software or hardware?



Responding to these types of questions can give you a frame of reference in which to investigate the problem.





 Under which conditions does the problem occur? 

Knowing which systems and applications are running at the time that a problem occurs is an important part of troubleshooting.
"location": "",
"description": "<workspace_description>",
"template_repo": {
"url": "http://xxxxx.git",
"branch": "main"
},
"template_data": [{
"folder": "",
"type": "terraform_v1.0"
}]
}

Show more

No, if the Terraform version is specified in the payload or template, only the version specified in versions.tf is considered during provisioning. To consider the latest Terraform version, you can configure the required_version parameter as required_version = ">=1.0.0. <2.0". For more information, refer to [Version constraints for the Terraform](https://cloud.ibm.com/docs/schematics?topic=schematics-version-constraintstf-version-constraint).





 Can I specify only the provider version in the version parameter? Or is it mandatory to provide the required_version parameter in the versions.tf file? 

Yes, you need to specify the version = "x.x.x" as it signifies the IBM Cloud provider version. Where as, required_version = ">1.0.0, <2.0" signifies the Terraform version to provision. For more information, refer to [Version constraints for the Terraform](https://cloud.ibm.com/docs/schematics?topic=schematics-version-constraintstf-version-constraint). If the version parameter is not declared in your versions.tf file, the latest version of the provider plug-in is automatically used in Schematics. For more information, refer to [Version constraints for the Terraform providers](https://cloud.ibm.com/docs/schematics?topic=schematics-version-constraintsprovider-version-contraint).





 How can I deploy one resources in two different IBM Cloud account? 

Use alias concept for deploying resource into your different IBM Cloud account as you can target provider with different accounts.
To summarize, you completed basic scenarios to demonstrate how to use secrets with a job by referencing an existing full secret and updating keys within a secret.





 Referencing secrets that are not yet defined with the CLI 

If a secret does not exist before it is referenced, an app will not deploy successfully, and a job will not run successfully until the referenced secret is created.

If you are working with an app or a job and the referenced secret is not yet defined, use the --force option to avoid verification of the existence of the referenced secret. The --force option can be used with the [app create](https://cloud.ibm.com/docs/codeengine?topic=codeengine-clicli-application-create), [app update](https://cloud.ibm.com/docs/codeengine?topic=codeengine-clicli-application-update), [job create](https://cloud.ibm.com/docs/codeengine?topic=codeengine-clicli-job-create), [job update](https://cloud.ibm.com/docs/codeengine?topic=codeengine-clicli-job-update), [jobrun submit](https://cloud.ibm.com/docs/codeengine?topic=codeengine-clicli-jobrun-submit), or [jobrun resubmit](https://cloud.ibm.com/docs/codeengine?topic=codeengine-clicli-jobrun-resubmit) commands.

When you use the --force option with these commands, the action to create, update, or run the app or job completes. However, the app or job will not run successfully until the referenced secret exists. If you add the --no-wait option in addition to the --force option to the command, the system completes the action, and does not wait for the app or job to run successfully.

The following example describes how to reference a secret that is not yet defined with a job by using the CLI.



1.
Example message: The value provided for the expires_in field must be between 5 and 3600.





 missing_field 

Used in any situation where a required header, query parameter, or property is not provided.

missing_field error code can accompany a 400 HTTP status code.

Example message: A trusted profile ID was not passed in the request body.





 missing_value 

Used for missing required headers, query parameters, or body properties (identified by the target).

missing_value error code can accompany a 400 HTTP status code.

Example message: A value such as ibm must be provided in the Metadata-Flavor header.





 not_found 

Used for headers, query parameters, path parameters, or body properties (identified by the target) that are syntactically valid but refer to a resource that does not exist.

not_found error code can accompany the following HTTP status codes:



* 404 for path parameters
* 400 for all other cases



Example message: Placement group not found.





 profile_not_linked 

Used when a trusted profile is not linked to a virtual server instance. This error code is returned only for the POST /instance_identity/v1/iam_token method.

profile_not_linked error code can accompany a 400 HTTP status code.

Example message: The virtual server instance is not linked to the specified trusted profile.





 service_error 

Used when the client encounters a service-side issue.

service_error error code can accompany a 500 HTTP status code.

Example message: An internal error occurred.





 unauthenticated 

Used when a Bearer token is provided in the Authorization header, but the token is expired, malformed, or otherwise syntactically correct but not valid.

unauthenticated error code can accompany a 401 HTTP status code.

Example message: The provided token is invalid or expired.





 unauthorized 

Used for headers, parameters, paths, or properties (identified by the target) that are syntactically valid but refer to a resource that you are not authorized to operate on in the requested manner.

unauthorized error code can accompany a 403 HTTP status code.

Example message: The metadata service is not enabled on the provided instance.





 unknown_field