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LexModelsV2 module#

Index > LexModelsV2

Auto-generated documentation for LexModelsV2 type annotations stubs module types-boto3-lexv2-models.

How to install#

You can generate type annotations for boto3 package locally with mypy-boto3-builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.37.3' mypy-boto3-builder
  2. Select boto3 AWS SDK.
  3. Add LexModelsV2 service.
  4. Use provided commands to install generated packages.

VSCode extension#

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and LexModelsV2.

From PyPI with pip#

Install types-boto3 for LexModelsV2 service.

# install with boto3 type annotations
python -m pip install 'types-boto3[lexv2-models]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-boto3-lite[lexv2-models]'

# standalone installation
python -m pip install types-boto3-lexv2-models

How to uninstall#

python -m pip uninstall -y types-boto3-lexv2-models

Usage#

Code samples can be found in Examples.

LexModelsV2Client#

Type annotations and code completion for boto3.client("lexv2-models") as LexModelsV2Client boto3 documentation

# LexModelsV2Client usage example

from boto3.session import Session

from types_boto3_lexv2_models.client import LexModelsV2Client

def get_client() -> LexModelsV2Client:
    return Session().client("lexv2-models")

Waiters#

Type annotations and code completion for waiters from boto3.client("lexv2-models").get_waiter("...").

# BotAliasAvailableWaiter usage example

from boto3.session import Session

from types_boto3_lexv2_models.waiter import BotAliasAvailableWaiter

def get_bot_alias_available_waiter() -> BotAliasAvailableWaiter:
    return Session().client("lexv2-models").get_waiter("bot_alias_available")

Literals#

Type annotations for literals used in methods and schema.

# AggregatedUtterancesFilterNameType usage example

from types_boto3_lexv2_models.literals import AggregatedUtterancesFilterNameType

def get_value() -> AggregatedUtterancesFilterNameType:
    return "Utterance"

Type definitions#

Type annotations for type definitions used in methods and schema.