AgentsforBedrockRuntime / Client / invoke_agent
invoke_agent#
- AgentsforBedrockRuntime.Client.invoke_agent(**kwargs)#
Sends a prompt for the agent to process and respond to. Note the following fields for the request:
To continue the same conversation with an agent, use the same
sessionIdvalue in the request.To activate trace enablement, turn
enableTracetotrue. Trace enablement helps you follow the agent’s reasoning process that led it to the information it processed, the actions it took, and the final result it yielded. For more information, see Trace enablement.To stream agent responses, make sure that only orchestration prompt is enabled. Agent streaming is not supported for the following steps:
Pre-processingPost-processingAgent with 1 Knowledge base and
User Inputnot enabled
End a conversation by setting
endSessiontotrue.In the
sessionStateobject, you can include attributes for the session or prompt or, if you configured an action group to return control, results from invocation of the action group.
The response contains both chunk and trace attributes.
The final response is returned in the
bytesfield of thechunkobject. TheInvokeAgentreturns one chunk for the entire interaction.The
attributionobject contains citations for parts of the response.If you set
enableTracetotruein the request, you can trace the agent’s steps and reasoning process that led it to the response.If the action predicted was configured to return control, the response returns parameters for the action, elicited from the user, in the
returnControlfield.Errors are also surfaced in the response.
See also: AWS API Documentation
Request Syntax
response = client.invoke_agent( agentAliasId='string', agentId='string', bedrockModelConfigurations={ 'performanceConfig': { 'latency': 'standard'|'optimized' } }, enableTrace=True|False, endSession=True|False, inputText='string', memoryId='string', sessionId='string', sessionState={ 'conversationHistory': { 'messages': [ { 'content': [ { 'text': 'string' }, ], 'role': 'user'|'assistant' }, ] }, 'files': [ { 'name': 'string', 'source': { 'byteContent': { 'data': b'bytes', 'mediaType': 'string' }, 's3Location': { 'uri': 'string' }, 'sourceType': 'S3'|'BYTE_CONTENT' }, 'useCase': 'CODE_INTERPRETER'|'CHAT' }, ], 'invocationId': 'string', 'knowledgeBaseConfigurations': [ { 'knowledgeBaseId': 'string', 'retrievalConfiguration': { 'vectorSearchConfiguration': { 'filter': { 'andAll': [ {'... recursive ...'}, ], 'equals': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'greaterThan': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'greaterThanOrEquals': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'in': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'lessThan': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'lessThanOrEquals': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'listContains': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'notEquals': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'notIn': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'orAll': [ {'... recursive ...'}, ], 'startsWith': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None }, 'stringContains': { 'key': 'string', 'value': {...}|[...]|123|123.4|'string'|True|None } }, 'implicitFilterConfiguration': { 'metadataAttributes': [ { 'description': 'string', 'key': 'string', 'type': 'STRING'|'NUMBER'|'BOOLEAN'|'STRING_LIST' }, ], 'modelArn': 'string' }, 'numberOfResults': 123, 'overrideSearchType': 'HYBRID'|'SEMANTIC', 'rerankingConfiguration': { 'bedrockRerankingConfiguration': { 'metadataConfiguration': { 'selectionMode': 'SELECTIVE'|'ALL', 'selectiveModeConfiguration': { 'fieldsToExclude': [ { 'fieldName': 'string' }, ], 'fieldsToInclude': [ { 'fieldName': 'string' }, ] } }, 'modelConfiguration': { 'additionalModelRequestFields': { 'string': {...}|[...]|123|123.4|'string'|True|None }, 'modelArn': 'string' }, 'numberOfRerankedResults': 123 }, 'type': 'BEDROCK_RERANKING_MODEL' } } } }, ], 'promptSessionAttributes': { 'string': 'string' }, 'returnControlInvocationResults': [ { 'apiResult': { 'actionGroup': 'string', 'agentId': 'string', 'apiPath': 'string', 'confirmationState': 'CONFIRM'|'DENY', 'httpMethod': 'string', 'httpStatusCode': 123, 'responseBody': { 'string': { 'body': 'string', 'images': [ { 'format': 'png'|'jpeg'|'gif'|'webp', 'source': { 'bytes': b'bytes' } }, ] } }, 'responseState': 'FAILURE'|'REPROMPT' }, 'functionResult': { 'actionGroup': 'string', 'agentId': 'string', 'confirmationState': 'CONFIRM'|'DENY', 'function': 'string', 'responseBody': { 'string': { 'body': 'string', 'images': [ { 'format': 'png'|'jpeg'|'gif'|'webp', 'source': { 'bytes': b'bytes' } }, ] } }, 'responseState': 'FAILURE'|'REPROMPT' } }, ], 'sessionAttributes': { 'string': 'string' } }, sourceArn='string', streamingConfigurations={ 'applyGuardrailInterval': 123, 'streamFinalResponse': True|False } )
- Parameters:
agentAliasId (string) –
[REQUIRED]
The alias of the agent to use.
agentId (string) –
[REQUIRED]
The unique identifier of the agent to use.
bedrockModelConfigurations (dict) –
Model performance settings for the request.
performanceConfig (dict) –
The performance configuration for the model.
latency (string) –
To use a latency-optimized version of the model, set to
optimized.
enableTrace (boolean) – Specifies whether to turn on the trace or not to track the agent’s reasoning process. For more information, see Trace enablement.
endSession (boolean) – Specifies whether to end the session with the agent or not.
inputText (string) –
The prompt text to send the agent.
Note
If you include
returnControlInvocationResultsin thesessionStatefield, theinputTextfield will be ignored.memoryId (string) – The unique identifier of the agent memory.
sessionId (string) –
[REQUIRED]
The unique identifier of the session. Use the same value across requests to continue the same conversation.
sessionState (dict) –
Contains parameters that specify various attributes of the session. For more information, see Control session context.
Note
If you include
returnControlInvocationResultsin thesessionStatefield, theinputTextfield will be ignored.conversationHistory (dict) –
The state’s conversation history.
messages (list) –
The conversation’s messages.
(dict) –
Details about a message.
content (list) – [REQUIRED]
The message’s content.
(dict) –
A content block.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
text.text (string) –
The block’s text.
role (string) – [REQUIRED]
The message’s role.
files (list) –
Contains information about the files used by code interpreter.
(dict) –
Contains details of the source files.
name (string) – [REQUIRED]
The name of the source file.
source (dict) – [REQUIRED]
Specifies where the files are located.
byteContent (dict) –
The data and the text of the attached files.
data (bytes) – [REQUIRED]
The raw bytes of the file to attach. The maximum size of all files that is attached is 10MB. You can attach a maximum of 5 files.
mediaType (string) – [REQUIRED]
The MIME type of data contained in the file used for chat.
s3Location (dict) –
The s3 location of the files to attach.
uri (string) – [REQUIRED]
The uri of the s3 object.
sourceType (string) – [REQUIRED]
The source type of the files to attach.
useCase (string) – [REQUIRED]
Specifies how the source files will be used by the code interpreter.
invocationId (string) –
The identifier of the invocation of an action. This value must match the
invocationIdreturned in theInvokeAgentresponse for the action whose results are provided in thereturnControlInvocationResultsfield. For more information, see Return control to the agent developer and Control session context.knowledgeBaseConfigurations (list) –
An array of configurations, each of which applies to a knowledge base attached to the agent.
(dict) –
Configurations to apply to a knowledge base attached to the agent during query. For more information, see Knowledge base retrieval configurations.
knowledgeBaseId (string) – [REQUIRED]
The unique identifier for a knowledge base attached to the agent.
retrievalConfiguration (dict) – [REQUIRED]
The configurations to apply to the knowledge base during query. For more information, see Query configurations.
vectorSearchConfiguration (dict) – [REQUIRED]
Contains details about how the results from the vector search should be returned. For more information, see Query configurations.
filter (dict) –
Specifies the filters to use on the metadata in the knowledge base data sources before returning results. For more information, see Query configurations.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
andAll,equals,greaterThan,greaterThanOrEquals,in,lessThan,lessThanOrEquals,listContains,notEquals,notIn,orAll,startsWith,stringContains.andAll (list) –
Knowledge base data sources are returned if their metadata attributes fulfill all the filter conditions inside this list.
(dict) –
Specifies the filters to use on the metadata attributes in the knowledge base data sources before returning results. For more information, see Query configurations. See the examples below to see how to use these filters.
This data type is used in the following API operations:
Retrieve request – in the
filterfieldRetrieveAndGenerate request – in the
filterfield
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
andAll,equals,greaterThan,greaterThanOrEquals,in,lessThan,lessThanOrEquals,listContains,notEquals,notIn,orAll,startsWith,stringContains.
equals (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value matches thevaluein this object.The following example would return data sources with an
animalattribute whose value iscat:"equals": { "key": "animal", "value": "cat" }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
greaterThan (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value is greater than thevaluein this object.The following example would return data sources with an
yearattribute whose value is greater than1989:"greaterThan": { "key": "year", "value": 1989 }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
greaterThanOrEquals (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value is greater than or equal to thevaluein this object.The following example would return data sources with an
yearattribute whose value is greater than or equal to1989:"greaterThanOrEquals": { "key": "year", "value": 1989 }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
in (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value is in the list specified in thevaluein this object.The following example would return data sources with an
animalattribute that is eithercatordog:"in": { "key": "animal", "value": ["cat", "dog"] }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
lessThan (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value is less than thevaluein this object.The following example would return data sources with an
yearattribute whose value is less than to1989."lessThan": { "key": "year", "value": 1989 }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
lessThanOrEquals (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value is less than or equal to thevaluein this object.The following example would return data sources with an
yearattribute whose value is less than or equal to1989."lessThanOrEquals": { "key": "year", "value": 1989 }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
listContains (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value is a list that contains thevalueas one of its members.The following example would return data sources with an
animalsattribute that is a list containing acatmember (for example["dog", "cat"])."listContains": { "key": "animals", "value": "cat" }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
notEquals (dict) –
Knowledge base data sources are returned when:
It contains a metadata attribute whose name matches the
keyand whose value doesn’t match thevaluein this object.The key is not present in the document.
The following example would return data sources that don’t contain an
animalattribute whose value iscat."notEquals": { "key": "animal", "value": "cat" }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
notIn (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value isn’t in the list specified in thevaluein this object.The following example would return data sources whose
animalattribute is neithercatnordog."notIn": { "key": "animal", "value": ["cat", "dog"] }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
orAll (list) –
Knowledge base data sources are returned if their metadata attributes fulfill at least one of the filter conditions inside this list.
(dict) –
Specifies the filters to use on the metadata attributes in the knowledge base data sources before returning results. For more information, see Query configurations. See the examples below to see how to use these filters.
This data type is used in the following API operations:
Retrieve request – in the
filterfieldRetrieveAndGenerate request – in the
filterfield
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
andAll,equals,greaterThan,greaterThanOrEquals,in,lessThan,lessThanOrEquals,listContains,notEquals,notIn,orAll,startsWith,stringContains.
startsWith (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value starts with thevaluein this object. This filter is currently only supported for Amazon OpenSearch Serverless vector stores.The following example would return data sources with an
animalattribute starts withca(for example,catorcamel)."startsWith": { "key": "animal", "value": "ca" }key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
stringContains (dict) –
Knowledge base data sources are returned if they contain a metadata attribute whose name matches the
keyand whose value is one of the following:A string that contains the
valueas a substring. The following example would return data sources with ananimalattribute that contains the substringat(for examplecat)."stringContains": { "key": "animal", "value": "at" }A list with a member that contains the
valueas a substring. The following example would return data sources with ananimalsattribute that is a list containing a member that contains the substringat(for example["dog", "cat"])."stringContains": { "key": "animals", "value": "at" }
key (string) – [REQUIRED]
The name that the metadata attribute must match.
value (document) – [REQUIRED]
The value to whcih to compare the value of the metadata attribute.
implicitFilterConfiguration (dict) –
Settings for implicit filtering.
metadataAttributes (list) – [REQUIRED]
Metadata that can be used in a filter.
(dict) –
Details about a metadata attribute.
description (string) – [REQUIRED]
The attribute’s description.
key (string) – [REQUIRED]
The attribute’s key.
type (string) – [REQUIRED]
The attribute’s type.
modelArn (string) – [REQUIRED]
The model that generates the filter.
numberOfResults (integer) –
The number of source chunks to retrieve.
overrideSearchType (string) –
By default, Amazon Bedrock decides a search strategy for you. If you’re using an Amazon OpenSearch Serverless vector store that contains a filterable text field, you can specify whether to query the knowledge base with a
HYBRIDsearch using both vector embeddings and raw text, orSEMANTICsearch using only vector embeddings. For other vector store configurations, onlySEMANTICsearch is available. For more information, see Test a knowledge base.rerankingConfiguration (dict) –
Contains configurations for reranking the retrieved results. For more information, see Improve the relevance of query responses with a reranker model.
bedrockRerankingConfiguration (dict) –
Contains configurations for an Amazon Bedrock reranker model.
metadataConfiguration (dict) –
Contains configurations for the metadata to use in reranking.
selectionMode (string) – [REQUIRED]
Specifies whether to consider all metadata when reranking, or only the metadata that you select. If you specify
SELECTIVE, include theselectiveModeConfigurationfield.selectiveModeConfiguration (dict) –
Contains configurations for the metadata fields to include or exclude when considering reranking.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
fieldsToExclude,fieldsToInclude.fieldsToExclude (list) –
An array of objects, each of which specifies a metadata field to exclude from consideration when reranking.
(dict) –
Contains information for a metadata field to include in or exclude from consideration when reranking.
fieldName (string) – [REQUIRED]
The name of a metadata field to include in or exclude from consideration when reranking.
fieldsToInclude (list) –
An array of objects, each of which specifies a metadata field to include in consideration when reranking. The remaining metadata fields are ignored.
(dict) –
Contains information for a metadata field to include in or exclude from consideration when reranking.
fieldName (string) – [REQUIRED]
The name of a metadata field to include in or exclude from consideration when reranking.
modelConfiguration (dict) – [REQUIRED]
Contains configurations for the reranker model.
additionalModelRequestFields (dict) –
A JSON object whose keys are request fields for the model and whose values are values for those fields.
(string) –
(document) –
modelArn (string) – [REQUIRED]
The ARN of the reranker model to use.
numberOfRerankedResults (integer) –
The number of results to return after reranking.
type (string) – [REQUIRED]
The type of reranker model.
promptSessionAttributes (dict) –
Contains attributes that persist across a prompt and the values of those attributes.
In orchestration prompt template, these attributes replace the $prompt_session_attributes$ placeholder variable. For more information, see Prompt template placeholder variables.
In multi-agent collaboration, the
promptSessionAttributeswill only be used by supervisor agent when $prompt_session_attributes$ is present in prompt template.
(string) –
(string) –
returnControlInvocationResults (list) –
Contains information about the results from the action group invocation. For more information, see Return control to the agent developer and Control session context.
Note
If you include this field, the
inputTextfield will be ignored.(dict) –
A result from the invocation of an action. For more information, see Return control to the agent developer and Control session context.
This data type is used in the following API operations:
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
apiResult,functionResult.apiResult (dict) –
The result from the API response from the action group invocation.
actionGroup (string) – [REQUIRED]
The action group that the API operation belongs to.
agentId (string) –
The agent’s ID.
apiPath (string) –
The path to the API operation.
confirmationState (string) –
Controls the API operations or functions to invoke based on the user confirmation.
httpMethod (string) –
The HTTP method for the API operation.
httpStatusCode (integer) –
http status code from API execution response (for example: 200, 400, 500).
responseBody (dict) –
The response body from the API operation. The key of the object is the content type (currently, only
TEXTis supported). The response may be returned directly or from the Lambda function.(string) –
(dict) –
Contains the body of the API response.
This data type is used in the following API operations:
In the
returnControlInvocationResultsfield of the InvokeAgent request
body (string) –
The body of the API response.
images (list) –
Lists details, including format and source, for the image in the response from the function call. You can specify only one image and the function in the
returnControlInvocationResultsmust be a computer use action. For more information, see Configure an Amazon Bedrock Agent to complete tasks with computer use tools.(dict) –
Details about an image in the result from a function in the action group invocation. You can specify images only when the function is a computer use action. For more information, see Configure an Amazon Bedrock Agent to complete tasks with computer use tools.
format (string) – [REQUIRED]
The type of image in the result.
source (dict) – [REQUIRED]
The source of the image in the result.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
bytes.bytes (bytes) –
The raw image bytes for the image. If you use an Amazon Web Services SDK, you don’t need to encode the image bytes in base64.
responseState (string) –
Controls the final response state returned to end user when API/Function execution failed. When this state is FAILURE, the request would fail with dependency failure exception. When this state is REPROMPT, the API/function response will be sent to model for re-prompt
functionResult (dict) –
The result from the function from the action group invocation.
actionGroup (string) – [REQUIRED]
The action group that the function belongs to.
agentId (string) –
The agent’s ID.
confirmationState (string) –
Contains the user confirmation information about the function that was called.
function (string) –
The name of the function that was called.
responseBody (dict) –
The response from the function call using the parameters. The response might be returned directly or from the Lambda function. Specify
TEXTorIMAGES. The key of the object is the content type. You can only specify one type. If you specifyIMAGES, you can specify only one image. You can specify images only when the function in thereturnControlInvocationResultsis a computer use action. For more information, see Configure an Amazon Bedrock Agent to complete tasks with computer use tools.(string) –
(dict) –
Contains the body of the API response.
This data type is used in the following API operations:
In the
returnControlInvocationResultsfield of the InvokeAgent request
body (string) –
The body of the API response.
images (list) –
Lists details, including format and source, for the image in the response from the function call. You can specify only one image and the function in the
returnControlInvocationResultsmust be a computer use action. For more information, see Configure an Amazon Bedrock Agent to complete tasks with computer use tools.(dict) –
Details about an image in the result from a function in the action group invocation. You can specify images only when the function is a computer use action. For more information, see Configure an Amazon Bedrock Agent to complete tasks with computer use tools.
format (string) – [REQUIRED]
The type of image in the result.
source (dict) – [REQUIRED]
The source of the image in the result.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
bytes.bytes (bytes) –
The raw image bytes for the image. If you use an Amazon Web Services SDK, you don’t need to encode the image bytes in base64.
responseState (string) –
Controls the final response state returned to end user when API/Function execution failed. When this state is FAILURE, the request would fail with dependency failure exception. When this state is REPROMPT, the API/function response will be sent to model for re-prompt
sessionAttributes (dict) –
Contains attributes that persist across a session and the values of those attributes. If
sessionAttributesare passed to a supervisor agent in multi-agent collaboration, it will be forwarded to all agent collaborators.(string) –
(string) –
sourceArn (string) – The ARN of the resource making the request.
streamingConfigurations (dict) –
Specifies the configurations for streaming.
Note
To use agent streaming, you need permissions to perform the
bedrock:InvokeModelWithResponseStreamaction.applyGuardrailInterval (integer) –
The guardrail interval to apply as response is generated.
streamFinalResponse (boolean) –
Specifies whether to enable streaming for the final response. This is set to
falseby default.
- Return type:
dict
- Returns:
The response of this operation contains an
EventStreammember. When iterated theEventStreamwill yield events based on the structure below, where only one of the top level keys will be present for any given event.Response Syntax
{ 'completion': EventStream({ 'accessDeniedException': { 'message': 'string' }, 'badGatewayException': { 'message': 'string', 'resourceName': 'string' }, 'chunk': { 'attribution': { 'citations': [ { 'generatedResponsePart': { 'textResponsePart': { 'span': { 'end': 123, 'start': 123 }, 'text': 'string' } }, 'retrievedReferences': [ { 'content': { 'byteContent': 'string', 'row': [ { 'columnName': 'string', 'columnValue': 'string', 'type': 'BLOB'|'BOOLEAN'|'DOUBLE'|'NULL'|'LONG'|'STRING' }, ], 'text': 'string', 'type': 'TEXT'|'IMAGE'|'ROW' }, 'location': { 'confluenceLocation': { 'url': 'string' }, 'customDocumentLocation': { 'id': 'string' }, 'kendraDocumentLocation': { 'uri': 'string' }, 's3Location': { 'uri': 'string' }, 'salesforceLocation': { 'url': 'string' }, 'sharePointLocation': { 'url': 'string' }, 'sqlLocation': { 'query': 'string' }, 'type': 'S3'|'WEB'|'CONFLUENCE'|'SALESFORCE'|'SHAREPOINT'|'CUSTOM'|'KENDRA'|'SQL', 'webLocation': { 'url': 'string' } }, 'metadata': { 'string': {...}|[...]|123|123.4|'string'|True|None } }, ] }, ] }, 'bytes': b'bytes' }, 'conflictException': { 'message': 'string' }, 'dependencyFailedException': { 'message': 'string', 'resourceName': 'string' }, 'files': { 'files': [ { 'bytes': b'bytes', 'name': 'string', 'type': 'string' }, ] }, 'internalServerException': { 'message': 'string', 'reason': 'string' }, 'modelNotReadyException': { 'message': 'string' }, 'resourceNotFoundException': { 'message': 'string' }, 'returnControl': { 'invocationId': 'string', 'invocationInputs': [ { 'apiInvocationInput': { 'actionGroup': 'string', 'actionInvocationType': 'RESULT'|'USER_CONFIRMATION'|'USER_CONFIRMATION_AND_RESULT', 'agentId': 'string', 'apiPath': 'string', 'collaboratorName': 'string', 'httpMethod': 'string', 'parameters': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ], 'requestBody': { 'content': { 'string': { 'properties': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ] } } } }, 'functionInvocationInput': { 'actionGroup': 'string', 'actionInvocationType': 'RESULT'|'USER_CONFIRMATION'|'USER_CONFIRMATION_AND_RESULT', 'agentId': 'string', 'collaboratorName': 'string', 'function': 'string', 'parameters': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ] } }, ] }, 'serviceQuotaExceededException': { 'message': 'string' }, 'throttlingException': { 'message': 'string' }, 'trace': { 'agentAliasId': 'string', 'agentId': 'string', 'agentVersion': 'string', 'callerChain': [ { 'agentAliasArn': 'string' }, ], 'collaboratorName': 'string', 'eventTime': datetime(2015, 1, 1), 'sessionId': 'string', 'trace': { 'customOrchestrationTrace': { 'event': { 'text': 'string' }, 'traceId': 'string' }, 'failureTrace': { 'failureReason': 'string', 'traceId': 'string' }, 'guardrailTrace': { 'action': 'INTERVENED'|'NONE', 'inputAssessments': [ { 'contentPolicy': { 'filters': [ { 'action': 'BLOCKED', 'confidence': 'NONE'|'LOW'|'MEDIUM'|'HIGH', 'type': 'INSULTS'|'HATE'|'SEXUAL'|'VIOLENCE'|'MISCONDUCT'|'PROMPT_ATTACK' }, ] }, 'sensitiveInformationPolicy': { 'piiEntities': [ { 'action': 'BLOCKED'|'ANONYMIZED', 'match': 'string', 'type': 'ADDRESS'|'AGE'|'AWS_ACCESS_KEY'|'AWS_SECRET_KEY'|'CA_HEALTH_NUMBER'|'CA_SOCIAL_INSURANCE_NUMBER'|'CREDIT_DEBIT_CARD_CVV'|'CREDIT_DEBIT_CARD_EXPIRY'|'CREDIT_DEBIT_CARD_NUMBER'|'DRIVER_ID'|'EMAIL'|'INTERNATIONAL_BANK_ACCOUNT_NUMBER'|'IP_ADDRESS'|'LICENSE_PLATE'|'MAC_ADDRESS'|'NAME'|'PASSWORD'|'PHONE'|'PIN'|'SWIFT_CODE'|'UK_NATIONAL_HEALTH_SERVICE_NUMBER'|'UK_NATIONAL_INSURANCE_NUMBER'|'UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER'|'URL'|'USERNAME'|'US_BANK_ACCOUNT_NUMBER'|'US_BANK_ROUTING_NUMBER'|'US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER'|'US_PASSPORT_NUMBER'|'US_SOCIAL_SECURITY_NUMBER'|'VEHICLE_IDENTIFICATION_NUMBER' }, ], 'regexes': [ { 'action': 'BLOCKED'|'ANONYMIZED', 'match': 'string', 'name': 'string', 'regex': 'string' }, ] }, 'topicPolicy': { 'topics': [ { 'action': 'BLOCKED', 'name': 'string', 'type': 'DENY' }, ] }, 'wordPolicy': { 'customWords': [ { 'action': 'BLOCKED', 'match': 'string' }, ], 'managedWordLists': [ { 'action': 'BLOCKED', 'match': 'string', 'type': 'PROFANITY' }, ] } }, ], 'outputAssessments': [ { 'contentPolicy': { 'filters': [ { 'action': 'BLOCKED', 'confidence': 'NONE'|'LOW'|'MEDIUM'|'HIGH', 'type': 'INSULTS'|'HATE'|'SEXUAL'|'VIOLENCE'|'MISCONDUCT'|'PROMPT_ATTACK' }, ] }, 'sensitiveInformationPolicy': { 'piiEntities': [ { 'action': 'BLOCKED'|'ANONYMIZED', 'match': 'string', 'type': 'ADDRESS'|'AGE'|'AWS_ACCESS_KEY'|'AWS_SECRET_KEY'|'CA_HEALTH_NUMBER'|'CA_SOCIAL_INSURANCE_NUMBER'|'CREDIT_DEBIT_CARD_CVV'|'CREDIT_DEBIT_CARD_EXPIRY'|'CREDIT_DEBIT_CARD_NUMBER'|'DRIVER_ID'|'EMAIL'|'INTERNATIONAL_BANK_ACCOUNT_NUMBER'|'IP_ADDRESS'|'LICENSE_PLATE'|'MAC_ADDRESS'|'NAME'|'PASSWORD'|'PHONE'|'PIN'|'SWIFT_CODE'|'UK_NATIONAL_HEALTH_SERVICE_NUMBER'|'UK_NATIONAL_INSURANCE_NUMBER'|'UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER'|'URL'|'USERNAME'|'US_BANK_ACCOUNT_NUMBER'|'US_BANK_ROUTING_NUMBER'|'US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER'|'US_PASSPORT_NUMBER'|'US_SOCIAL_SECURITY_NUMBER'|'VEHICLE_IDENTIFICATION_NUMBER' }, ], 'regexes': [ { 'action': 'BLOCKED'|'ANONYMIZED', 'match': 'string', 'name': 'string', 'regex': 'string' }, ] }, 'topicPolicy': { 'topics': [ { 'action': 'BLOCKED', 'name': 'string', 'type': 'DENY' }, ] }, 'wordPolicy': { 'customWords': [ { 'action': 'BLOCKED', 'match': 'string' }, ], 'managedWordLists': [ { 'action': 'BLOCKED', 'match': 'string', 'type': 'PROFANITY' }, ] } }, ], 'traceId': 'string' }, 'orchestrationTrace': { 'invocationInput': { 'actionGroupInvocationInput': { 'actionGroupName': 'string', 'apiPath': 'string', 'executionType': 'LAMBDA'|'RETURN_CONTROL', 'function': 'string', 'invocationId': 'string', 'parameters': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ], 'requestBody': { 'content': { 'string': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ] } }, 'verb': 'string' }, 'agentCollaboratorInvocationInput': { 'agentCollaboratorAliasArn': 'string', 'agentCollaboratorName': 'string', 'input': { 'returnControlResults': { 'invocationId': 'string', 'returnControlInvocationResults': [ { 'apiResult': { 'actionGroup': 'string', 'agentId': 'string', 'apiPath': 'string', 'confirmationState': 'CONFIRM'|'DENY', 'httpMethod': 'string', 'httpStatusCode': 123, 'responseBody': { 'string': { 'body': 'string', 'images': [ { 'format': 'png'|'jpeg'|'gif'|'webp', 'source': { 'bytes': b'bytes' } }, ] } }, 'responseState': 'FAILURE'|'REPROMPT' }, 'functionResult': { 'actionGroup': 'string', 'agentId': 'string', 'confirmationState': 'CONFIRM'|'DENY', 'function': 'string', 'responseBody': { 'string': { 'body': 'string', 'images': [ { 'format': 'png'|'jpeg'|'gif'|'webp', 'source': { 'bytes': b'bytes' } }, ] } }, 'responseState': 'FAILURE'|'REPROMPT' } }, ] }, 'text': 'string', 'type': 'TEXT'|'RETURN_CONTROL' } }, 'codeInterpreterInvocationInput': { 'code': 'string', 'files': [ 'string', ] }, 'invocationType': 'ACTION_GROUP'|'KNOWLEDGE_BASE'|'FINISH'|'ACTION_GROUP_CODE_INTERPRETER'|'AGENT_COLLABORATOR', 'knowledgeBaseLookupInput': { 'knowledgeBaseId': 'string', 'text': 'string' }, 'traceId': 'string' }, 'modelInvocationInput': { 'foundationModel': 'string', 'inferenceConfiguration': { 'maximumLength': 123, 'stopSequences': [ 'string', ], 'temperature': ..., 'topK': 123, 'topP': ... }, 'overrideLambda': 'string', 'parserMode': 'DEFAULT'|'OVERRIDDEN', 'promptCreationMode': 'DEFAULT'|'OVERRIDDEN', 'text': 'string', 'traceId': 'string', 'type': 'PRE_PROCESSING'|'ORCHESTRATION'|'KNOWLEDGE_BASE_RESPONSE_GENERATION'|'POST_PROCESSING'|'ROUTING_CLASSIFIER' }, 'modelInvocationOutput': { 'metadata': { 'usage': { 'inputTokens': 123, 'outputTokens': 123 } }, 'rawResponse': { 'content': 'string' }, 'reasoningContent': { 'reasoningText': { 'signature': 'string', 'text': 'string' }, 'redactedContent': b'bytes' }, 'traceId': 'string' }, 'observation': { 'actionGroupInvocationOutput': { 'text': 'string' }, 'agentCollaboratorInvocationOutput': { 'agentCollaboratorAliasArn': 'string', 'agentCollaboratorName': 'string', 'output': { 'returnControlPayload': { 'invocationId': 'string', 'invocationInputs': [ { 'apiInvocationInput': { 'actionGroup': 'string', 'actionInvocationType': 'RESULT'|'USER_CONFIRMATION'|'USER_CONFIRMATION_AND_RESULT', 'agentId': 'string', 'apiPath': 'string', 'collaboratorName': 'string', 'httpMethod': 'string', 'parameters': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ], 'requestBody': { 'content': { 'string': { 'properties': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ] } } } }, 'functionInvocationInput': { 'actionGroup': 'string', 'actionInvocationType': 'RESULT'|'USER_CONFIRMATION'|'USER_CONFIRMATION_AND_RESULT', 'agentId': 'string', 'collaboratorName': 'string', 'function': 'string', 'parameters': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ] } }, ] }, 'text': 'string', 'type': 'TEXT'|'RETURN_CONTROL' } }, 'codeInterpreterInvocationOutput': { 'executionError': 'string', 'executionOutput': 'string', 'executionTimeout': True|False, 'files': [ 'string', ] }, 'finalResponse': { 'text': 'string' }, 'knowledgeBaseLookupOutput': { 'retrievedReferences': [ { 'content': { 'byteContent': 'string', 'row': [ { 'columnName': 'string', 'columnValue': 'string', 'type': 'BLOB'|'BOOLEAN'|'DOUBLE'|'NULL'|'LONG'|'STRING' }, ], 'text': 'string', 'type': 'TEXT'|'IMAGE'|'ROW' }, 'location': { 'confluenceLocation': { 'url': 'string' }, 'customDocumentLocation': { 'id': 'string' }, 'kendraDocumentLocation': { 'uri': 'string' }, 's3Location': { 'uri': 'string' }, 'salesforceLocation': { 'url': 'string' }, 'sharePointLocation': { 'url': 'string' }, 'sqlLocation': { 'query': 'string' }, 'type': 'S3'|'WEB'|'CONFLUENCE'|'SALESFORCE'|'SHAREPOINT'|'CUSTOM'|'KENDRA'|'SQL', 'webLocation': { 'url': 'string' } }, 'metadata': { 'string': {...}|[...]|123|123.4|'string'|True|None } }, ] }, 'repromptResponse': { 'source': 'ACTION_GROUP'|'KNOWLEDGE_BASE'|'PARSER', 'text': 'string' }, 'traceId': 'string', 'type': 'ACTION_GROUP'|'AGENT_COLLABORATOR'|'KNOWLEDGE_BASE'|'FINISH'|'ASK_USER'|'REPROMPT' }, 'rationale': { 'text': 'string', 'traceId': 'string' } }, 'postProcessingTrace': { 'modelInvocationInput': { 'foundationModel': 'string', 'inferenceConfiguration': { 'maximumLength': 123, 'stopSequences': [ 'string', ], 'temperature': ..., 'topK': 123, 'topP': ... }, 'overrideLambda': 'string', 'parserMode': 'DEFAULT'|'OVERRIDDEN', 'promptCreationMode': 'DEFAULT'|'OVERRIDDEN', 'text': 'string', 'traceId': 'string', 'type': 'PRE_PROCESSING'|'ORCHESTRATION'|'KNOWLEDGE_BASE_RESPONSE_GENERATION'|'POST_PROCESSING'|'ROUTING_CLASSIFIER' }, 'modelInvocationOutput': { 'metadata': { 'usage': { 'inputTokens': 123, 'outputTokens': 123 } }, 'parsedResponse': { 'text': 'string' }, 'rawResponse': { 'content': 'string' }, 'reasoningContent': { 'reasoningText': { 'signature': 'string', 'text': 'string' }, 'redactedContent': b'bytes' }, 'traceId': 'string' } }, 'preProcessingTrace': { 'modelInvocationInput': { 'foundationModel': 'string', 'inferenceConfiguration': { 'maximumLength': 123, 'stopSequences': [ 'string', ], 'temperature': ..., 'topK': 123, 'topP': ... }, 'overrideLambda': 'string', 'parserMode': 'DEFAULT'|'OVERRIDDEN', 'promptCreationMode': 'DEFAULT'|'OVERRIDDEN', 'text': 'string', 'traceId': 'string', 'type': 'PRE_PROCESSING'|'ORCHESTRATION'|'KNOWLEDGE_BASE_RESPONSE_GENERATION'|'POST_PROCESSING'|'ROUTING_CLASSIFIER' }, 'modelInvocationOutput': { 'metadata': { 'usage': { 'inputTokens': 123, 'outputTokens': 123 } }, 'parsedResponse': { 'isValid': True|False, 'rationale': 'string' }, 'rawResponse': { 'content': 'string' }, 'reasoningContent': { 'reasoningText': { 'signature': 'string', 'text': 'string' }, 'redactedContent': b'bytes' }, 'traceId': 'string' } }, 'routingClassifierTrace': { 'invocationInput': { 'actionGroupInvocationInput': { 'actionGroupName': 'string', 'apiPath': 'string', 'executionType': 'LAMBDA'|'RETURN_CONTROL', 'function': 'string', 'invocationId': 'string', 'parameters': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ], 'requestBody': { 'content': { 'string': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ] } }, 'verb': 'string' }, 'agentCollaboratorInvocationInput': { 'agentCollaboratorAliasArn': 'string', 'agentCollaboratorName': 'string', 'input': { 'returnControlResults': { 'invocationId': 'string', 'returnControlInvocationResults': [ { 'apiResult': { 'actionGroup': 'string', 'agentId': 'string', 'apiPath': 'string', 'confirmationState': 'CONFIRM'|'DENY', 'httpMethod': 'string', 'httpStatusCode': 123, 'responseBody': { 'string': { 'body': 'string', 'images': [ { 'format': 'png'|'jpeg'|'gif'|'webp', 'source': { 'bytes': b'bytes' } }, ] } }, 'responseState': 'FAILURE'|'REPROMPT' }, 'functionResult': { 'actionGroup': 'string', 'agentId': 'string', 'confirmationState': 'CONFIRM'|'DENY', 'function': 'string', 'responseBody': { 'string': { 'body': 'string', 'images': [ { 'format': 'png'|'jpeg'|'gif'|'webp', 'source': { 'bytes': b'bytes' } }, ] } }, 'responseState': 'FAILURE'|'REPROMPT' } }, ] }, 'text': 'string', 'type': 'TEXT'|'RETURN_CONTROL' } }, 'codeInterpreterInvocationInput': { 'code': 'string', 'files': [ 'string', ] }, 'invocationType': 'ACTION_GROUP'|'KNOWLEDGE_BASE'|'FINISH'|'ACTION_GROUP_CODE_INTERPRETER'|'AGENT_COLLABORATOR', 'knowledgeBaseLookupInput': { 'knowledgeBaseId': 'string', 'text': 'string' }, 'traceId': 'string' }, 'modelInvocationInput': { 'foundationModel': 'string', 'inferenceConfiguration': { 'maximumLength': 123, 'stopSequences': [ 'string', ], 'temperature': ..., 'topK': 123, 'topP': ... }, 'overrideLambda': 'string', 'parserMode': 'DEFAULT'|'OVERRIDDEN', 'promptCreationMode': 'DEFAULT'|'OVERRIDDEN', 'text': 'string', 'traceId': 'string', 'type': 'PRE_PROCESSING'|'ORCHESTRATION'|'KNOWLEDGE_BASE_RESPONSE_GENERATION'|'POST_PROCESSING'|'ROUTING_CLASSIFIER' }, 'modelInvocationOutput': { 'metadata': { 'usage': { 'inputTokens': 123, 'outputTokens': 123 } }, 'rawResponse': { 'content': 'string' }, 'traceId': 'string' }, 'observation': { 'actionGroupInvocationOutput': { 'text': 'string' }, 'agentCollaboratorInvocationOutput': { 'agentCollaboratorAliasArn': 'string', 'agentCollaboratorName': 'string', 'output': { 'returnControlPayload': { 'invocationId': 'string', 'invocationInputs': [ { 'apiInvocationInput': { 'actionGroup': 'string', 'actionInvocationType': 'RESULT'|'USER_CONFIRMATION'|'USER_CONFIRMATION_AND_RESULT', 'agentId': 'string', 'apiPath': 'string', 'collaboratorName': 'string', 'httpMethod': 'string', 'parameters': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ], 'requestBody': { 'content': { 'string': { 'properties': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ] } } } }, 'functionInvocationInput': { 'actionGroup': 'string', 'actionInvocationType': 'RESULT'|'USER_CONFIRMATION'|'USER_CONFIRMATION_AND_RESULT', 'agentId': 'string', 'collaboratorName': 'string', 'function': 'string', 'parameters': [ { 'name': 'string', 'type': 'string', 'value': 'string' }, ] } }, ] }, 'text': 'string', 'type': 'TEXT'|'RETURN_CONTROL' } }, 'codeInterpreterInvocationOutput': { 'executionError': 'string', 'executionOutput': 'string', 'executionTimeout': True|False, 'files': [ 'string', ] }, 'finalResponse': { 'text': 'string' }, 'knowledgeBaseLookupOutput': { 'retrievedReferences': [ { 'content': { 'byteContent': 'string', 'row': [ { 'columnName': 'string', 'columnValue': 'string', 'type': 'BLOB'|'BOOLEAN'|'DOUBLE'|'NULL'|'LONG'|'STRING' }, ], 'text': 'string', 'type': 'TEXT'|'IMAGE'|'ROW' }, 'location': { 'confluenceLocation': { 'url': 'string' }, 'customDocumentLocation': { 'id': 'string' }, 'kendraDocumentLocation': { 'uri': 'string' }, 's3Location': { 'uri': 'string' }, 'salesforceLocation': { 'url': 'string' }, 'sharePointLocation': { 'url': 'string' }, 'sqlLocation': { 'query': 'string' }, 'type': 'S3'|'WEB'|'CONFLUENCE'|'SALESFORCE'|'SHAREPOINT'|'CUSTOM'|'KENDRA'|'SQL', 'webLocation': { 'url': 'string' } }, 'metadata': { 'string': {...}|[...]|123|123.4|'string'|True|None } }, ] }, 'repromptResponse': { 'source': 'ACTION_GROUP'|'KNOWLEDGE_BASE'|'PARSER', 'text': 'string' }, 'traceId': 'string', 'type': 'ACTION_GROUP'|'AGENT_COLLABORATOR'|'KNOWLEDGE_BASE'|'FINISH'|'ASK_USER'|'REPROMPT' } } } }, 'validationException': { 'message': 'string' } }), 'contentType': 'string', 'memoryId': 'string', 'sessionId': 'string' }
Response Structure
# This section is too large to render. # Please see the AWS API Documentation linked below.
Exceptions
AgentsforBedrockRuntime.Client.exceptions.ModelNotReadyExceptionAgentsforBedrockRuntime.Client.exceptions.ConflictExceptionAgentsforBedrockRuntime.Client.exceptions.ResourceNotFoundExceptionAgentsforBedrockRuntime.Client.exceptions.ValidationExceptionAgentsforBedrockRuntime.Client.exceptions.InternalServerExceptionAgentsforBedrockRuntime.Client.exceptions.DependencyFailedExceptionAgentsforBedrockRuntime.Client.exceptions.BadGatewayExceptionAgentsforBedrockRuntime.Client.exceptions.ThrottlingExceptionAgentsforBedrockRuntime.Client.exceptions.AccessDeniedExceptionAgentsforBedrockRuntime.Client.exceptions.ServiceQuotaExceededException