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pca-main.template
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AWSTemplateFormatVersion: "2010-09-09"
Description: Amazon Transcribe Post Call Analytics - PCA (v0.7.14) (uksb-1sn29lk73, SO9071)
Parameters:
AdminUsername:
Type: String
Default: "admin"
Description: (Required) Username for admin user
AdminEmail:
Type: String
Description: >-
(Required) Email address for the admin user. Will be used for logging in and for setting the admin password.
This email will receive the temporary password for the admin user.
AllowedPattern: ".+\\@.+\\..+"
ConstraintDescription: Must be valid email address eg. [email protected]
AllowedSignUpEmailDomain:
Type: String
Default: ""
Description: >-
Email address domain (example.com) or comma separated list of email domains (example1.com,
example2.com) allowed to signin and signup using the web UI. To allow signup from any domain,
enter *.
If left empty, signup via the web UI is disabled and users will have to be created
using
Cognito.
AllowedPattern: '^(\*||([\w-]+\.)+[\w-]{2,6}(, *([\w-]+\.)+[\w-]{2,6})*)$'
BulkUploadBucketName:
Type: String
Default: ""
Description: >-
(Optional) Existing bucket where files can be dropped, and a secondary Step Function can be
manually enabled to drip feed them into the system.
Leave blank to automatically create new bucket.
BulkUploadMaxDripRate:
Type: String
Default: "25"
Description: Maximum number of files that the bulk uploader will move to the PCA source bucket in one pass
BulkUploadMaxTranscribeJobs:
Type: String
Default: "50"
Description: Number of concurrent Transcribe jobs (executing or queuing) where bulk upload will pause
ComprehendLanguages:
Type: String
Default: de | en | es | it | pt | fr | ja | ko | hi | ar | zh | zh-TW
Description: Languages supported by Comprehend's standard calls, separated by " | "
ContentRedactionLanguages:
Type: String
Default: en-US
Description: Languages supported by Transcribe's Content Redaction feature, separated by " | "
ConversationLocation:
Type: String
AllowedPattern: "[+-_\/a-zA-Z0-9]*"
Default: America/New_York
Description: Name of the timezone location for the call source - this is the TZ database name from https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
EntityRecognizerEndpoint:
Type: String
Default: undefined
Description: Name of the custom entity recognizer for Amazon Comprehend (not including language suffix, e.g. -en). If one cannot be found then simple entity string matching is attempted instead
EntityStringMap:
Type: String
Default: sample-entities.csv
Description: Basename of a CSV file containing item/Entity maps for when we don't have data for Comprehend Custom Entities (not including language suffix, e.g. -en)
EntityThreshold:
Type: String
Default: "0.6"
Description: Confidence threshold where we accept the custom entity detection result
EntityTypes:
Type: String
Default: PERSON | LOCATION | ORGANIZATION | COMMERCIAL_ITEM | EVENT | DATE | QUANTITY | TITLE
Description: Entity types supported by Comprehend's standard entity detection, separated by " | "
InputBucketAudioPlayback:
Type: String
Default: playbackAudio
Description: Folder that holds the audio files to playback in the browser.
InputBucketFailedTranscriptions:
Type: String
Default: failedAudio
Description: Folder that holds the audio files that for some reason failed transcription
InputBucketName:
Type: String
Default: ""
Description: >-
(Optional) Existing bucket holding all audio files for the system.
Leave blank to automatically create new bucket with intelligent tiering storage and automated retention policy.
InputBucketRawAudio:
Type: String
Default: originalAudio
Description: Prefix/Folder that holds the audio files to be ingested into the system
InputBucketOrigTranscripts:
Type: String
Default: originalTranscripts
Description: >
Folder that holds Transcripts from other applications (e.g. Live Call Analytics) that are to be
processed as if PCA had processed that audio
MaxSpeakers:
Type: String
Default: "2"
Description: Maximum number of speakers that are expected on a call
MinSentimentNegative:
Type: String
Default: "2.0"
Description: Minimum sentiment level required to declare a phrase as having negative sentiment, in the range 0.0-5.0
MinSentimentPositive:
Type: String
Default: "2.0"
Description: Minimum sentiment level required to declare a phrase as having positive sentiment, in the range 0.0-5.0
OutputBucketName:
Type: String
Default: ""
Description: >-
(Optional) Existing bucket where Transcribe output files are delivered.
Leave blank to automatically create new bucket with intelligent tiering storage and automated retention policy.
OutputBucketTranscribeResults:
Type: String
Default: transcribeResults
Description: Folder within the output S3 bucket where Transcribe results are written
OutputBucketParsedResults:
Type: String
Default: parsedFiles
Description: Folder within the output S3 bucket where parsed results are written
SpeakerNames:
Type: String
Default: Customer | Agent
AllowedValues:
- Customer | Agent
- Agent | Customer
Description: Speaker label assignment order
SpeakerSeparationType:
Type: String
Default: channel
AllowedValues:
- speaker
- channel
Description: Separation mode diarization - typically speaker for mono files, channel for stereo files
StepFunctionName:
Type: String
AllowedPattern: "[-_a-zA-Z0-9]*"
Default: PostCallAnalyticsWorkflow
Description: Name of Step Functions workflow that orchestrates this process
BulkUploadStepFunctionName:
Type: String
AllowedPattern: "[-_a-zA-Z0-9]*"
Default: BulkUploadWorkflow
Description: Name of Step Functions workflow that orchestrates the bulk import process
SupportFilesBucketName:
Type: String
Default: ''
Description: >-
(Optional) Existing bucket that hold supporting files, such as the file-based
entity recognition mapping files. Leave blank to automatically create new bucket.
TranscribeLanguages:
Type: String
Default: en-US
Description: Language to be used for Transcription - multiple entries separated by " | " will trigger Language Detection
VocabFilterMode:
Type: String
Default: mask
AllowedValues:
- mask
- remove
Description: The mode to use for vocabulary filtering - must be one of mask or remove (tag is not supported)
VocabFilterName:
Type: String
Default: undefined
Description: Name of the vocabulary filter to use for Transcribe (not including language suffix, e.g. -en)
VocabularyName:
Type: String
Default: undefined
Description: Name of the custom vocabulary to use for Transcribe (omit the language suffix, e.g. -en-US)
CustomLangModelName:
Type: String
Default: undefined
Description: Name of the custom language model to use for Transcribe (omit the language suffix, e.g. -en-US)
TranscribeApiMode:
Type: String
Default: analytics
AllowedValues:
- standard
- analytics
Description: Set the default operational mode for Transcribe
TelephonyCTRType:
Type: String
Default: none
AllowedValues:
- none
- genesys
Description: Type of telephony system that will deliver Contact Trace Record files along with the audio recordings
TelephonyCTRFileSuffix:
Type: String
Default: "_metadata.json | _call_metadata.json"
Description: >
File name suffixes for the CTR file(s) associated with the chosen telephony type, separated by " | ".
For Genesys, this needs two entries: one for the conversation CTR file, and one for the call-specific file.
Other telephony systems may need fewer or additional entries, please consult the documentation.
CallRedactionTranscript:
Type: String
Default: true
AllowedValues:
- true
- false
Description: Enable or disable Transcribe's redaction feature
CallRedactionAudio:
Type: String
Default: true
AllowedValues:
- true
- false
Description: When transcript redaction is enabled in Call Analytics, only allow playback of the redacted audio
ffmpegDownloadUrl:
Type: String
Default: http://www.johnvansickle.com/ffmpeg/old-releases/ffmpeg-4.4-amd64-static.tar.xz
Description: URL for ffmpeg binary distribution tar file download - see https://www.johnvansickle.com/ffmpeg/
loadSampleAudioFiles:
Type: String
Default: false
AllowedValues:
- true
- false
Description: Set to true to automatically ingest sample audio files.
FilenameDatetimeRegex:
Type: String
Default: '(\d{4})-(\d{2})-(\d{2})T(\d{2})-(\d{2})-(\d{2})'
Description: >
Regular Expression (regex) used to parse call Date/Time from audio filenames.
Each datetime field (year, month, etc.) must be matched using a separate parenthesized group in the regex.
Example: the regex '(\d{4})-(\d{2})-(\d{2})T(\d{2})-(\d{2})-(\d{2})' parses
the filename: CallAudioFile-2021-12-01T07-55-51.wav into a value list: [2021, 12, 01, 07, 55, 51]
The next parameter, FilenameDatetimeFieldMap, maps the values to datetime field codes.
If the filename doesn't match the regex pattern, the current time is used as the call timestamp.
FilenameDatetimeFieldMap:
Type: String
Default: '%Y %m %d %H %M %S'
Description: >
Space separated ordered sequence of time field codes as used by Python's datetime.strptime() function.
Each field code refers to a corresponding value parsed by the regex parameter filenameTimestampRegex.
Example: the mapping '%Y %m %d %H %M %S' assembles the regex output values [2021, 12, 01, 07, 55, 51]
into the full datetime: '2021-12-01 07:55:51'.
If the field map doesn't match the value list parsed by the regex, then the current time is used as the call timestamp.
FilenameGUIDRegex:
Type: String
Default: '_GUID_(.*?)_'
Description: >
Regular Expression (regex) used to parse call GUID from audio filenames.
The GUID value must be matched using one or more parenthesized groups in the regex.
Example: the regex '_GUID_(.*?)_' parses
the filename: AutoRepairs1_CUST_12345_GUID_2a602c1a-4ca3-4d37-a933-444d575c0222_AGENT_BobS_DATETIME_07.55.51.067-09-16-2021.wav
to extract the GUID value '2a602c1a-4ca3-4d37-a933-444d575c0222'.
FilenameAgentRegex:
Type: String
Default: '_AGENT_(.*?)_'
Description: >
Regular Expression (regex) used to parse call AGENT from audio filenames.
The AGENT value must be matched using one or more parenthesized groups in the regex.
Example: the regex '_AGENT_(.*?)_' parses
the filename: AutoRepairs1_CUST_12345_GUID_2a602c1a-4ca3-4d37-a933-444d575c0222_AGENT_BobS_DATETIME_07.55.51.067-09-16-2021.wav
to extract the AGENT value 'BobS'.
FilenameCustRegex:
Type: String
Default: '_CUST_(.*?)_'
Description: >
Regular Expression (regex) used to parse Customer from audio filenames.
The customer id value must be matched using one or more parenthesized groups in the regex.
Example: the regex '_CUST_(.*?)_' parses
the filename: AutoRepairs1_CUST_12345_GUID_2a602c1a-4ca3-4d37-a933-444d575c0222_AGENT_BobS_DATETIME_07.55.51.067-09-16-2021.wav
to extract the Customer value '12345'.
EnableGui:
Type: String
Default: "true"
AllowedValues:
- "true"
- "false"
Description: Optionally disable the web GUI that comes with this solution, to deploy server components only.
EnableTranscriptKendraSearch:
Type: String
Default: 'No'
AllowedValues:
- 'No'
- 'Yes, create new Kendra Index (Developer Edition)'
- 'Yes, create new Kendra Index (Enterprise Edition)'
Description: Optionally make call transcripts searchable, using Amazon Kendra. If enabled, EnableGui (above) must also be set to true.
QueryCapacityUnits:
Type: Number
Default: 0
MinValue: 0
MaxValue: 100
Description: >
When Kendra Index (Enterprise Edition) is enabled, the amount of extra query capacity for an index
and GetQuerySuggestions capacity. A single extra capacity unit for an index provides 0.1 queries
per second or approximately 8,000 queries per day. You can add up to 100 extra capacity units.
StorageCapacityUnits:
Type: Number
Default: 0
MinValue: 0
MaxValue: 100
Description: >
When Kendra Index (Enterprise Edition) is enabled, the amount of extra storage capacity for an index.
A single capacity unit provides 30 GB of storage space or 100,000 documents, whichever is reached
first. You can add up to 100 extra capacity units.
QueryCapacityUnits:
Type: Number
Default: 0
MinValue: 0
MaxValue: 100
Description: >
When Kendra Index (Enterprise Edition) is enabled, the amount of extra query capacity for an index
and GetQuerySuggestions capacity. A single extra capacity unit for an index provides 0.1 queries
per second or approximately 8,000 queries per day. You can add up to 100 extra capacity units.
StorageCapacityUnits:
Type: Number
Default: 0
MinValue: 0
MaxValue: 100
Description: >
When Kendra Index (Enterprise Edition) is enabled, the amount of extra storage capacity for an index.
A single capacity unit provides 30 GB of storage space or 100,000 documents, whichever is reached
first. You can add up to 100 extra capacity units.
RetentionDays:
Type: Number
Default: 365
AllowedValues:
- 30
- 60
- 90
- 180
- 365
- 730
- 1460
Description: >
When using auto-provisioned S3 buckets, your audio files and associated call analysis data will be
automatically and permanently deleted after the specified number of retention days. The application
does not currently archive recordings or call data.
Environment:
Description: The type of environment to tag your infrastructure with. You can specify DEV (development), TEST (test), or PROD (production).
Type: String
AllowedValues:
- DEV
- TEST
- PROD
Default: PROD
GlueDatabaseName:
Type: String
AllowedPattern: "^$|[a-z0-9_-]+"
Description: (Optional) Glue catalog database name in lowercase characters used to contain tables/views for SQL integration.
EnablePcaDashboards:
Type: String
Default: 'No'
AllowedValues:
- 'No'
- 'Yes'
Description: >
Optionally deploy advanced analytics pipeline and Amazon QuickSight dashboards.
IMPORTANT: Your Amazon QuickSight account MUST be enabled before deploying this stack. See http://www.amazon.com/pca-dashboards for additional
steps required in Amazon QuickSight to (1) enable S3 access to PCA OutputBucket and (2) share dashboard and analytics assets.
GenAIQuery:
Default: 'BEDROCK'
Type: String
AllowedValues:
- 'DISABLED'
- 'BEDROCK'
- 'ANTHROPIC'
Description: >
If enabled, gives the ability to query an individual call for information.
The BEDROCK option requires you to choose one of the supported model IDs from the provided list (GenAIQueryBedrockModelId).
You must also accept access to that model in the Amazon Bedrock > Model Access console.
The ANTHROPIC option is a third party service, and you must enter your Anthropic API key in the
Third Party LLM API Key section.
GenAIQueryBedrockModelId:
Type: String
Default: us.amazon.nova-lite-v1:0
AllowedValues:
- anthropic.claude-3-haiku-20240307-v1:0
- anthropic.claude-3-sonnet-20240229-v1:0
- us.amazon.nova-micro-v1:0
- us.amazon.nova-lite-v1:0
- us.amazon.nova-pro-v1:0
- us.anthropic.claude-3-5-haiku-20241022-v1:0
- us.anthropic.claude-3-5-sonnet-20241022-v2:0
- eu.anthropic.claude-3-5-sonnet-20240620-v1:0
- apac.anthropic.claude-3-5-sonnet-20240620-v1:0
Description: (Optional) If 'GenAIQuery' is BEDROCK, which Bedrock model to use.
CallSummarization:
Default: 'BEDROCK'
Type: String
AllowedValues:
- 'DISABLED'
- 'BEDROCK+TCA'
- 'BEDROCK'
- 'TCA-ONLY'
- 'SAGEMAKER'
- 'ANTHROPIC'
- 'LAMBDA'
Description: >
Set to enable call summarization by a Large Language Model.
The BEDROCK+TCA will use Transcribe Call Analytics for summarization and Bedrock for other analytics, and is available only for English.
The BEDROCK option requires you to choose one of the supported model IDs from the provided list (SummarizationBedrockModelId).
You must also accept access to that model in the Amazon Bedrock > Model Access console.
The TCA-ONLY option will not use Bedrock, but will only use Transcribe Call Analytics summarization, and is available only for English.
The SAGEMAKER option uses a SageMaker endpoint with the pretrained bart-large-cnn-samsum model with a ml.m5.xlarge instance type.
The LAMBDA option requires you to provide a function ARN below.
The ANTHROPIC option is a third party service, and you must enter your Anthropic API key in the Third Party LLM API Key section.
SummarizationBedrockModelId:
Type: String
Default: us.amazon.nova-lite-v1:0
AllowedValues:
- anthropic.claude-3-haiku-20240307-v1:0
- anthropic.claude-3-sonnet-20240229-v1:0
- us.amazon.nova-micro-v1:0
- us.amazon.nova-lite-v1:0
- us.amazon.nova-pro-v1:0
- us.anthropic.claude-3-5-haiku-20241022-v1:0
- us.anthropic.claude-3-5-sonnet-20241022-v2:0
- eu.anthropic.claude-3-5-sonnet-20240620-v1:0
- apac.anthropic.claude-3-5-sonnet-20240620-v1:0
Description: (Optional) If 'CallSummarization' is BEDROCK, which Bedrock model to use.
TestBedrockModelId:
Type: String
Default: true
AllowedValues:
- true
- false
Description: >
Set to false to disable checking if the Bedrock models are enabled.
SummarizationSageMakerInitialInstanceCount:
Type: Number
MinValue: 0
Default: 1
Description: >
(Optional) If 'CallSummarization' is SAGEMAKER, provide initial instance count. Set to '0' to enable Serverless Inference (for cold-start delay tolerant deployments only).
SummarizationLLMThirdPartyApiKey:
Type: String
Description: >
(Optional) If 'CallSummarization' or 'GenAIQuery' is ANTHROPIC, enter the provider API Key. ** Data will leave your AWS account **
Default: undefined
NoEcho: true
SummarizationLambdaFunctionArn:
Default: ''
Type: String
AllowedPattern: '^(|arn:aws:lambda:.*)$'
Description: >
(Optional) If 'CallSummarization' is LAMBDA, provide ARN for a Lambda function.
Metadata:
AWS::CloudFormation::Interface:
ParameterGroups:
- Label:
default: Admin User
Parameters:
- AdminUsername
- AdminEmail
- AllowedSignUpEmailDomain
- Label:
default: Sample Data
Parameters:
- loadSampleAudioFiles
- Label:
default: Enable Call Transcript Search
Parameters:
- EnableGui
- EnableTranscriptKendraSearch
- Label:
default: Call Summarization
Parameters:
- CallSummarization
- SummarizationBedrockModelId
- SummarizationSageMakerInitialInstanceCount
- SummarizationLambdaFunctionArn
- Label:
default: Third Party LLM API Key
Parameters:
- SummarizationLLMThirdPartyApiKey
- Label:
default: Generative AI Query
Parameters:
- GenAIQuery
- GenAIQueryBedrockModelId
- Label:
default: Advanced analytics and reporting
Parameters:
- EnablePcaDashboards
- GlueDatabaseName
- Label:
default: S3 Bucket Names and Retention Policy
Parameters:
- InputBucketName
- BulkUploadBucketName
- OutputBucketName
- SupportFilesBucketName
- RetentionDays
- Label:
default: S3 bucket prefixes
Parameters:
- InputBucketFailedTranscriptions
- InputBucketRawAudio
- InputBucketOrigTranscripts
- InputBucketAudioPlayback
- OutputBucketParsedResults
- OutputBucketTranscribeResults
- Label:
default: Filename metadata parsing
Parameters:
- FilenameDatetimeRegex
- FilenameDatetimeFieldMap
- FilenameGUIDRegex
- FilenameAgentRegex
- FilenameCustRegex
- Label:
default: Transcription
Parameters:
- TranscribeApiMode
- TranscribeLanguages
- VocabFilterMode
- VocabFilterName
- VocabularyName
- CustomLangModelName
- SpeakerSeparationType
- SpeakerNames
- MaxSpeakers
- CallRedactionTranscript
- CallRedactionAudio
- ContentRedactionLanguages
- Label:
default: Telephony system
Parameters:
- TelephonyCTRType
- TelephonyCTRFileSuffix
- Label:
default: Entity detection
Parameters:
- ComprehendLanguages
- EntityThreshold
- EntityTypes
- EntityRecognizerEndpoint
- EntityStringMap
- Label:
default: Sentiment detection
Parameters:
- MinSentimentNegative
- MinSentimentPositive
- Label:
default: Bulk upload
Parameters:
- BulkUploadMaxDripRate
- BulkUploadMaxTranscribeJobs
- BulkUploadStepFunctionName
- Label:
default: Miscellaneous
Parameters:
- ConversationLocation
- Environment
- StepFunctionName
- ffmpegDownloadUrl
- TestBedrockModelId
Conditions:
ShouldCreateBulkUploadBucket: !Equals [!Ref BulkUploadBucketName, '']
ShouldCreateInputBucket: !Equals [!Ref InputBucketName, '']
ShouldCreateOutputBucket: !Equals [!Ref OutputBucketName, '']
ShouldCreateSupportFilesBucket: !Equals [!Ref SupportFilesBucketName, '']
ShouldEnableGui: !Not [!Equals [!Ref EnableGui, "false"]]
ShouldEnableKendraSearch: !Not [!Equals [!Ref EnableTranscriptKendraSearch, 'No']]
ShouldCreateKendraIndexDeveloperEdition: !Equals [!Ref EnableTranscriptKendraSearch, 'Yes, create new Kendra Index (Developer Edition)']
ShouldDeployPcaDashboards: !Equals [!Ref EnablePcaDashboards, 'Yes']
ShouldLoadSampleFiles: !Equals [!Ref loadSampleAudioFiles, 'true']
ShouldDeployLLMThirdPartyApiKey: !And [!Not [!Equals [!Ref SummarizationLLMThirdPartyApiKey, '']], !Not [!Equals [!Ref SummarizationLLMThirdPartyApiKey, undefined]]]
ShouldTestBedrockModelId: !And [
!Or [
!Equals [!Ref CallSummarization, 'BEDROCK'],
!Equals [!Ref CallSummarization, "BEDROCK+TCA"],
!Equals [!Ref GenAIQuery, 'BEDROCK'],
],
!Equals [!Ref TestBedrockModelId, 'true']
]
ShouldTestGenAIQueryBedrockModelId: !And [
!Equals [!Ref GenAIQuery, 'BEDROCK'],
!Equals [!Ref TestBedrockModelId, 'true']
]
ShouldTestSummarizationBedrockModelId: !And [
!Or [
!Equals [!Ref CallSummarization, 'BEDROCK'],
!Equals [!Ref CallSummarization, "BEDROCK+TCA"],
],
!Equals [!Ref TestBedrockModelId, 'true']
]
Rules:
GuiEnabledWithKenda:
RuleCondition: !Not [!Equals [!Ref EnableTranscriptKendraSearch, 'No']]
Assertions:
- Assert: !Not [!Equals [!Ref EnableGui, "false"]]
AssertDescription: If Kendra is enabled, GUI must also be enabled
Resources:
########################################################
# S3 buckets
# TODO: Versioning? Lifecycle Policies? Access Logging?
########################################################
BulkUploadBucket:
Condition: ShouldCreateBulkUploadBucket
Type: 'AWS::S3::Bucket'
DeletionPolicy: Retain
UpdateReplacePolicy: Retain
Properties:
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
InputBucket:
Condition: ShouldCreateInputBucket
Type: 'AWS::S3::Bucket'
DeletionPolicy: Retain
UpdateReplacePolicy: Retain
Properties:
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
LifecycleConfiguration:
Rules:
- Id: StorageClassAndRetention
Status: Enabled
ExpirationInDays: !Ref RetentionDays
Transitions:
- TransitionInDays: 1
StorageClass: INTELLIGENT_TIERING
OutputBucket:
Condition: ShouldCreateOutputBucket
Type: 'AWS::S3::Bucket'
DeletionPolicy: Retain
UpdateReplacePolicy: Retain
Properties:
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
LifecycleConfiguration:
Rules:
- Id: LifecycleRule
Status: Enabled
ExpirationInDays: !Ref RetentionDays
Transitions:
- TransitionInDays: 1
StorageClass: INTELLIGENT_TIERING
SupportFilesBucket:
Condition: ShouldCreateSupportFilesBucket
Type: 'AWS::S3::Bucket'
DeletionPolicy: Retain
UpdateReplacePolicy: Retain
Properties:
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
########################################################
# Glue Database
########################################################
PCADatabase:
Type: AWS::Glue::Database
Properties:
CatalogId: !Ref AWS::AccountId
DatabaseInput:
Name: !Ref GlueDatabaseName
Description: Post Call Analytics
LocationUri: !Sub 's3://${OutputBucket}/${OutputBucketParsedResults}/'
########################################################
# Kendra Index
########################################################
KendraIndexRole:
Type: 'AWS::IAM::Role'
Condition: ShouldEnableKendraSearch
Properties:
AssumeRolePolicyDocument:
Version: 2012-10-17
Statement:
- Sid: ''
Effect: Allow
Principal:
Service: kendra.amazonaws.com
Action: 'sts:AssumeRole'
Policies:
- PolicyDocument:
Version: 2012-10-17
Statement:
- Effect: Allow
Resource: '*'
Condition:
StringEquals:
'cloudwatch:namespace': 'Kendra'
Action:
- 'cloudwatch:PutMetricData'
- Effect: Allow
Resource: '*'
Action: 'logs:DescribeLogGroups'
- Effect: Allow
Resource: !Sub
- 'arn:aws:logs:${region}:${account}:log-group:/aws/kendra/*'
- region: !Ref 'AWS::Region'
account: !Ref 'AWS::AccountId'
Action: 'logs:CreateLogGroup'
- Effect: Allow
Resource: !Sub
- 'arn:aws:logs:${region}:${account}:log-group:/aws/kendra/*:log-stream:*'
- region: !Ref 'AWS::Region'
account: !Ref 'AWS::AccountId'
Action:
- 'logs:DescribeLogStreams'
- 'logs:CreateLogStream'
- 'logs:PutLogEvents'
PolicyName: KendraMediaIndexPolicy
KendraIndex:
Type: 'AWS::Kendra::Index'
Condition: ShouldEnableKendraSearch
Properties:
CapacityUnits: !If
- ShouldCreateKendraIndexDeveloperEdition
- !Ref AWS::NoValue
-
QueryCapacityUnits: !Ref QueryCapacityUnits
StorageCapacityUnits: !Ref StorageCapacityUnits
Description: PCA transcript index
Edition:
!If
- ShouldCreateKendraIndexDeveloperEdition
- 'DEVELOPER_EDITION'
- 'ENTERPRISE_EDITION'
Name: !Join
- ''
- - !Ref 'AWS::StackName'
- '-Index'
RoleArn: !GetAtt KendraIndexRole.Arn
DocumentMetadataConfigurations:
- Name: ANALYSIS_URI
Search:
Displayable: true
Type: 'STRING_VALUE'
- Name: DATETIME
Search:
Displayable: true
Facetable: true
Relevance:
Freshness: true
Type: 'DATE_VALUE'
- Name: GUID
Search:
Displayable: true
Searchable: true
Type: 'STRING_VALUE'
- Name: AGENT
Search:
Displayable: true
Facetable: true
Type: 'STRING_VALUE'
- Name: DURATION
Search:
Displayable: true
Facetable: true
Type: 'STRING_VALUE'
- Name: ENTITY_PERSON
Search:
Displayable: true
Facetable: true
Type: 'STRING_LIST_VALUE'
- Name: ENTITY_LOCATION
Search:
Displayable: true
Facetable: true
Type: 'STRING_LIST_VALUE'
- Name: ENTITY_ORGANIZATION
Search:
Displayable: true
Facetable: true
Type: 'STRING_LIST_VALUE'
- Name: ENTITY_COMMERCIAL_ITEM
Search:
Displayable: true
Facetable: true
Type: 'STRING_LIST_VALUE'
- Name: ENTITY_EVENT
Search:
Displayable: true
Facetable: true
Type: 'STRING_LIST_VALUE'
- Name: ENTITY_DATE
Search:
Displayable: true
Facetable: true
Type: 'STRING_LIST_VALUE'
- Name: ENTITY_QUANTITY
Search:
Displayable: true
Facetable: true
Type: 'STRING_LIST_VALUE'
- Name: ENTITY_TITLE
Search:
Displayable: true
Facetable: true
Type: 'STRING_LIST_VALUE'
########################################################
# If Bedrock Models are selected, verify that Bedrock
# is available in the region, and that models are enabled
########################################################
TestBedrockModelFunctionRole:
Type: AWS::IAM::Role
Condition: ShouldTestBedrockModelId
Properties:
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Principal:
Service: lambda.amazonaws.com
Action: sts:AssumeRole
ManagedPolicyArns:
- arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
Policies:
- PolicyDocument:
Version: 2012-10-17
Statement:
- Effect: Allow
Action:
- "bedrock:InvokeModel"
Resource:
- !Sub "arn:${AWS::Partition}:bedrock:*::foundation-model/*"
- !Sub "arn:${AWS::Partition}:bedrock:*:${AWS::AccountId}:custom-model/*"
- !Sub "arn:aws:bedrock:${AWS::Region}:${AWS::AccountId}:inference-profile/*"
- Effect: Allow
Action:
- "bedrock:GetInferenceProfile"
Resource:
- !Sub "arn:aws:bedrock:${AWS::Region}:${AWS::AccountId}:inference-profile/*"
PolicyName: BedrockPolicy
TestBedrockModelFunction:
Type: AWS::Lambda::Function
Condition: ShouldTestBedrockModelId
Properties:
Handler: index.lambda_handler
Role: !GetAtt 'TestBedrockModelFunctionRole.Arn'
Runtime: python3.13
Timeout: 60
MemorySize: 128
Code:
ZipFile: !Sub |
import cfnresponse
import json
import subprocess
import os
import sys
import boto3
from botocore.config import Config
# Defaults
AWS_REGION = os.environ["AWS_REGION_OVERRIDE"] if "AWS_REGION_OVERRIDE" in os.environ else os.environ["AWS_REGION"]
ENDPOINT_URL = os.environ.get("ENDPOINT_URL", f'https://bedrock-runtime.{AWS_REGION}.amazonaws.com')
DEFAULT_MAX_TOKENS = 128
def get_generate_text(response):
return response["output"]["message"]["content"][0]["text"]
def call_llm(prompt, modelId):
client = boto3.client(
service_name='bedrock-runtime',
region_name=AWS_REGION,
endpoint_url=ENDPOINT_URL,
config=Config(retries={'max_attempts': 50, 'mode': 'adaptive'})
)
message = {
'role': 'user',
'content': [{'text': prompt}]
}
response = client.converse(
modelId=modelId,
messages=[message],
inferenceConfig={
'maxTokens': DEFAULT_MAX_TOKENS,
'temperature': 0
}
)
generated_text = get_generate_text(response)
return generated_text
def lambda_handler(event, context):
print("Event: ", json.dumps(event))
global client
status = cfnresponse.SUCCESS
responseData = {}
reason = "Success"
modelId = ""
if event['RequestType'] != 'Delete':
prompt = "\n\nHuman: Why is the sky blue?\n\nAssistant:"
try:
# Test LLMModel
llmModelId = event['ResourceProperties'].get('LLMModelId', '')
modelId = llmModelId
print(f"Testing {modelId}")
call_llm(prompt, modelId)
except Exception as e:
status = cfnresponse.FAILED
reason = f"Exception thrown testing ModelId='{modelId}'. Check that Amazon Bedrock is available in your region, and that model is activated in your Amazon Bedrock account - {e}"
print(f"Status: {status}, Reason: {reason}")
cfnresponse.send(event, context, status, responseData, reason=reason)
TestGenAIQueryBedrockModelId:
Type: Custom::TestGenAIQueryBedrockModelId
Condition: ShouldTestGenAIQueryBedrockModelId
Properties:
ServiceToken: !GetAtt TestBedrockModelFunction.Arn
LLMModelId: !Ref GenAIQueryBedrockModelId
TestSummarizationBedrockModelId:
Type: Custom::SummarizationBedrockModelId
Condition: ShouldTestSummarizationBedrockModelId
Properties:
ServiceToken: !GetAtt TestBedrockModelFunction.Arn
LLMModelId: !Ref SummarizationBedrockModelId
LLMPromptConfigure:
Type: AWS::CloudFormation::Stack
Properties:
TemplateURL: pca-server/cfn/lib/llm.template
########################################################