Skip to content

Commit b287796

Browse files
aws-sdk-python-automationaws-sdk-python-automation
committed
Merge branch 'release-1.42.2'
* release-1.42.2: Bumping version to 1.42.2 Update to latest models Add hostPrefix support to RPC v2 CBOR serializer (#3592)
2 parents dd227da + 7000d1a commit b287796

File tree

8 files changed

+795
-5
lines changed

8 files changed

+795
-5
lines changed

‎.changes/1.42.2.json‎

Lines changed: 12 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
1+
[
2+
{
3+
"category": "``bedrock``",
4+
"description": "Adding support in Amazon Bedrock to customize models with reinforcement fine-tuning (RFT) and support for updating the existing Custom Model Deployments.",
5+
"type": "api-change"
6+
},
7+
{
8+
"category": "``sagemaker``",
9+
"description": "Introduces Serverless training: A fully managed compute infrastructure that abstracts away all infrastructure complexity, allowing you to focus purely on model development.\n\nAdded AI model customization assets used to train, refine, and evaluate custom models during the model customization process.",
10+
"type": "api-change"
11+
}
12+
]

‎CHANGELOG.rst‎

Lines changed: 9 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -2,6 +2,15 @@
22
CHANGELOG
33
=========
44

5+
1.42.2
6+
======
7+
8+
* api-change:``bedrock``: Adding support in Amazon Bedrock to customize models with reinforcement fine-tuning (RFT) and support for updating the existing Custom Model Deployments.
9+
* api-change:``sagemaker``: Introduces Serverless training: A fully managed compute infrastructure that abstracts away all infrastructure complexity, allowing you to focus purely on model development.
10+
11+
Added AI model customization assets used to train, refine, and evaluate custom models during the model customization process.
12+
13+
514
1.42.1
615
======
716

‎botocore/__init__.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -17,7 +17,7 @@
1717
import re
1818
from logging import NullHandler
1919

20-
__version__ = '1.42.1'
20+
__version__ = '1.42.2'
2121

2222

2323
# Configure default logger to do nothing

‎botocore/data/bedrock/2023-04-20/service-2.json‎

Lines changed: 209 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -1836,6 +1836,25 @@
18361836
"documentation":"<p>Updates an existing Automated Reasoning policy test. You can modify the content, query, expected result, and confidence threshold.</p>",
18371837
"idempotent":true
18381838
},
1839+
"UpdateCustomModelDeployment":{
1840+
"name":"UpdateCustomModelDeployment",
1841+
"http":{
1842+
"method":"PATCH",
1843+
"requestUri":"/model-customization/custom-model-deployments/{customModelDeploymentIdentifier}",
1844+
"responseCode":202
1845+
},
1846+
"input":{"shape":"UpdateCustomModelDeploymentRequest"},
1847+
"output":{"shape":"UpdateCustomModelDeploymentResponse"},
1848+
"errors":[
1849+
{"shape":"ResourceNotFoundException"},
1850+
{"shape":"AccessDeniedException"},
1851+
{"shape":"ValidationException"},
1852+
{"shape":"InternalServerException"},
1853+
{"shape":"ThrottlingException"}
1854+
],
1855+
"documentation":"<p> Updates a custom model deployment with a new custom model. This allows you to deploy updated models without creating new deployment endpoints. </p>",
1856+
"idempotent":true
1857+
},
18391858
"UpdateGuardrail":{
18401859
"name":"UpdateGuardrail",
18411860
"http":{
@@ -5189,6 +5208,32 @@
51895208
"type":"list",
51905209
"member":{"shape":"CustomModelDeploymentSummary"}
51915210
},
5211+
"CustomModelDeploymentUpdateDetails":{
5212+
"type":"structure",
5213+
"required":[
5214+
"modelArn",
5215+
"updateStatus"
5216+
],
5217+
"members":{
5218+
"modelArn":{
5219+
"shape":"ModelArn",
5220+
"documentation":"<p> ARN of the new custom model being deployed as part of the update. </p>"
5221+
},
5222+
"updateStatus":{
5223+
"shape":"CustomModelDeploymentUpdateStatus",
5224+
"documentation":"<p> Current status of the deployment update. </p>"
5225+
}
5226+
},
5227+
"documentation":"<p> Details about an update to a custom model deployment, including the new custom model resource ARN and current update status. </p>"
5228+
},
5229+
"CustomModelDeploymentUpdateStatus":{
5230+
"type":"string",
5231+
"enum":[
5232+
"Updating",
5233+
"UpdateCompleted",
5234+
"UpdateFailed"
5235+
]
5236+
},
51925237
"CustomModelName":{
51935238
"type":"string",
51945239
"max":63,
@@ -5268,6 +5313,10 @@
52685313
"distillationConfig":{
52695314
"shape":"DistillationConfig",
52705315
"documentation":"<p>The Distillation configuration for the custom model.</p>"
5316+
},
5317+
"rftConfig":{
5318+
"shape":"RFTConfig",
5319+
"documentation":"<p> Configuration settings for reinforcement fine-tuning (RFT) model customization, including grader configuration and hyperparameters. </p>"
52715320
}
52725321
},
52735322
"documentation":"<p>A model customization configuration</p>",
@@ -5279,6 +5328,7 @@
52795328
"FINE_TUNING",
52805329
"CONTINUED_PRE_TRAINING",
52815330
"DISTILLATION",
5331+
"REINFORCEMENT_FINE_TUNING",
52825332
"IMPORTED"
52835333
]
52845334
},
@@ -5630,6 +5680,12 @@
56305680
"NOT_AVAILABLE"
56315681
]
56325682
},
5683+
"EpochCount":{
5684+
"type":"integer",
5685+
"box":true,
5686+
"max":50,
5687+
"min":1
5688+
},
56335689
"ErrorMessage":{
56345690
"type":"string",
56355691
"max":2048,
@@ -6821,6 +6877,10 @@
68216877
"shape":"CustomModelDeploymentDescription",
68226878
"documentation":"<p>The description of the custom model deployment.</p>"
68236879
},
6880+
"updateDetails":{
6881+
"shape":"CustomModelDeploymentUpdateDetails",
6882+
"documentation":"<p> Details about any pending or completed updates to the custom model deployment, including the new model ARN and update status. </p>"
6883+
},
68246884
"failureMessage":{
68256885
"shape":"ErrorMessage",
68266886
"documentation":"<p>If the deployment status is <code>FAILED</code>, this field contains a message describing the failure reason.</p>"
@@ -7846,6 +7906,17 @@
78467906
}
78477907
}
78487908
},
7909+
"GraderConfig":{
7910+
"type":"structure",
7911+
"members":{
7912+
"lambdaGrader":{
7913+
"shape":"LambdaGraderConfig",
7914+
"documentation":"<p> Configuration for using an AWS Lambda function as the grader for evaluating model responses and provide reward signals in reinforcement fine-tuning. </p>"
7915+
}
7916+
},
7917+
"documentation":"<p> Configuration for the grader used in reinforcement fine-tuning to evaluate model responses and provide reward signals. </p>",
7918+
"union":true
7919+
},
78497920
"GuardrailArn":{
78507921
"type":"string",
78517922
"max":2048,
@@ -9563,6 +9634,23 @@
95639634
"max":100,
95649635
"min":1
95659636
},
9637+
"LambdaArn":{
9638+
"type":"string",
9639+
"max":512,
9640+
"min":1,
9641+
"pattern":"arn:(aws[a-zA-Z-]*)?:lambda:[a-z]{2}(-gov)?-[a-z]+-\\d{1}:\\d{12}:function:[a-zA-Z0-9-_\\.]+(:(\\$LATEST|[a-zA-Z0-9-_]+))?"
9642+
},
9643+
"LambdaGraderConfig":{
9644+
"type":"structure",
9645+
"required":["lambdaArn"],
9646+
"members":{
9647+
"lambdaArn":{
9648+
"shape":"LambdaArn",
9649+
"documentation":"<p> ARN of the AWS Lambda function that will evaluate model responses and return reward scores for RFT training. </p>"
9650+
}
9651+
},
9652+
"documentation":"<p> Configuration for using an AWS Lambda function to grade model responses during reinforcement fine-tuning training. </p>"
9653+
},
95669654
"LegalTerm":{
95679655
"type":"structure",
95689656
"members":{
@@ -11761,6 +11849,90 @@
1176111849
"max":1000,
1176211850
"min":1
1176311851
},
11852+
"RFTBatchSize":{
11853+
"type":"integer",
11854+
"box":true,
11855+
"max":512,
11856+
"min":16
11857+
},
11858+
"RFTConfig":{
11859+
"type":"structure",
11860+
"members":{
11861+
"graderConfig":{
11862+
"shape":"GraderConfig",
11863+
"documentation":"<p> Configuration for the grader that evaluates model responses and provides reward signals during RFT training. </p>"
11864+
},
11865+
"hyperParameters":{
11866+
"shape":"RFTHyperParameters",
11867+
"documentation":"<p> Hyperparameters that control the reinforcement fine-tuning training process, including learning rate, batch size, and epoch count. </p>"
11868+
}
11869+
},
11870+
"documentation":"<p> Configuration settings for reinforcement fine-tuning (RFT), including grader configuration and training hyperparameters. </p>"
11871+
},
11872+
"RFTEvalInterval":{
11873+
"type":"integer",
11874+
"box":true,
11875+
"max":100,
11876+
"min":1
11877+
},
11878+
"RFTHyperParameters":{
11879+
"type":"structure",
11880+
"members":{
11881+
"epochCount":{
11882+
"shape":"EpochCount",
11883+
"documentation":"<p> Number of training epochs to run during reinforcement fine-tuning. Higher values may improve performance but increase training time. </p>"
11884+
},
11885+
"batchSize":{
11886+
"shape":"RFTBatchSize",
11887+
"documentation":"<p> Number of training samples processed in each batch during reinforcement fine-tuning (RFT) training. Larger batches may improve training stability. </p>"
11888+
},
11889+
"learningRate":{
11890+
"shape":"RFTLearningRate",
11891+
"documentation":"<p> Learning rate for the reinforcement fine-tuning. Controls how quickly the model adapts to reward signals. </p>"
11892+
},
11893+
"maxPromptLength":{
11894+
"shape":"RFTMaxPromptLength",
11895+
"documentation":"<p> Maximum length of input prompts during RFT training, measured in tokens. Longer prompts allow more context but increase memory usage and training-time. </p>"
11896+
},
11897+
"trainingSamplePerPrompt":{
11898+
"shape":"RFTTrainingSamplePerPrompt",
11899+
"documentation":"<p> Number of response samples generated per prompt during RFT training. More samples provide better reward signal estimation. </p>"
11900+
},
11901+
"inferenceMaxTokens":{
11902+
"shape":"RFTInferenceMaxTokens",
11903+
"documentation":"<p> Maximum number of tokens the model can generate in response to each prompt during RFT training. </p>"
11904+
},
11905+
"reasoningEffort":{
11906+
"shape":"ReasoningEffort",
11907+
"documentation":"<p> Level of reasoning effort applied during RFT training. Higher values may improve response quality but increase training time. </p>"
11908+
},
11909+
"evalInterval":{
11910+
"shape":"RFTEvalInterval",
11911+
"documentation":"<p> Interval between evaluation runs during RFT training, measured in training steps. More frequent evaluation provides better monitoring. </p>"
11912+
}
11913+
},
11914+
"documentation":"<p> Hyperparameters for controlling the reinforcement fine-tuning training process, including learning settings and evaluation intervals. </p>"
11915+
},
11916+
"RFTInferenceMaxTokens":{
11917+
"type":"integer",
11918+
"box":true
11919+
},
11920+
"RFTLearningRate":{
11921+
"type":"float",
11922+
"box":true,
11923+
"max":0.001,
11924+
"min":0.0000001
11925+
},
11926+
"RFTMaxPromptLength":{
11927+
"type":"integer",
11928+
"box":true
11929+
},
11930+
"RFTTrainingSamplePerPrompt":{
11931+
"type":"integer",
11932+
"box":true,
11933+
"max":16,
11934+
"min":2
11935+
},
1176411936
"RagConfigs":{
1176511937
"type":"list",
1176611938
"member":{"shape":"RAGConfig"},
@@ -11820,6 +11992,14 @@
1182011992
"max":100,
1182111993
"min":1
1182211994
},
11995+
"ReasoningEffort":{
11996+
"type":"string",
11997+
"enum":[
11998+
"low",
11999+
"medium",
12000+
"high"
12001+
]
12002+
},
1182312003
"RegionAvailability":{
1182412004
"type":"string",
1182512005
"enum":[
@@ -12853,6 +13033,35 @@
1285313033
}
1285413034
}
1285513035
},
13036+
"UpdateCustomModelDeploymentRequest":{
13037+
"type":"structure",
13038+
"required":[
13039+
"modelArn",
13040+
"customModelDeploymentIdentifier"
13041+
],
13042+
"members":{
13043+
"modelArn":{
13044+
"shape":"CustomModelArn",
13045+
"documentation":"<p> ARN of the new custom model to deploy. This replaces the currently deployed model. </p>"
13046+
},
13047+
"customModelDeploymentIdentifier":{
13048+
"shape":"CustomModelDeploymentIdentifier",
13049+
"documentation":"<p> Identifier of the custom model deployment to update with the new custom model. </p>",
13050+
"location":"uri",
13051+
"locationName":"customModelDeploymentIdentifier"
13052+
}
13053+
}
13054+
},
13055+
"UpdateCustomModelDeploymentResponse":{
13056+
"type":"structure",
13057+
"required":["customModelDeploymentArn"],
13058+
"members":{
13059+
"customModelDeploymentArn":{
13060+
"shape":"CustomModelDeploymentArn",
13061+
"documentation":"<p> ARN of the custom model deployment being updated. </p>"
13062+
}
13063+
}
13064+
},
1285613065
"UpdateGuardrailRequest":{
1285713066
"type":"structure",
1285813067
"required":[

0 commit comments

Comments
 (0)