Skip to content

Ivschat module#

Index > Ivschat

Auto-generated documentation for Ivschat type annotations stubs module types-boto3-ivschat.

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==1.35.86' mypy_boto3_builder
  2. Select boto3 AWS SDK.
  3. Add Ivschat 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 Ivschat.

From PyPI with pip#

Install types-boto3 for Ivschat service.

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

# 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[ivschat]'

# standalone installation
python -m pip install types-boto3-ivschat

How to uninstall#

python -m pip uninstall -y types-boto3-ivschat

Usage#

Code samples can be found in Examples.

IvschatClient#

Type annotations and code completion for boto3.client("ivschat") as IvschatClient boto3 documentation

# IvschatClient usage example

from boto3.session import Session

from types_boto3_ivschat.client import IvschatClient

def get_client() -> IvschatClient:
    return Session().client("ivschat")

Literals#

Type annotations for literals used in methods and schema.

# ChatTokenCapabilityType usage example

from types_boto3_ivschat.literals import ChatTokenCapabilityType

def get_value() -> ChatTokenCapabilityType:
    return "DELETE_MESSAGE"

Type definitions#

Type annotations for type definitions used in methods and schema.