skillfed

agent-framework-bedrock

Amazon Bedrock integration for Microsoft Agent Framework.

agent-framework-bedrock v1.0.0b260730 349.5K downloads/30d#7,334 on PyPI12,804
Permissive license Active released

What it is and what it does

agent-framework-bedrock is a provider package that bridges Agent Framework applications to Amazon Bedrock's large language models. It wraps Bedrock's API behind the Agent Framework's chat abstractions, letting you send conversation turns and attach tools for function calling using the framework's standard ChatOptions interface.

The package depends on agent-framework-core, boto3, and botocore. It is in beta but actively maintained, with support for Python 3.10 through 3.14. You configure it via environment variables and instantiate BedrockChatClient to start making requests. The integration is designed for developers already using Agent Framework who want to route their agent workloads through Bedrock models.

Use it for:

  • Route Agent Framework applications to Bedrock models instead of other LLM providers
  • Build agents with tool calling on Bedrock by attaching tools through ChatOptions
  • Migrate existing Agent Framework code to use Bedrock as the underlying model backend
  • Test agent behavior across multiple Bedrock model families from a single codebase

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Connects Microsoft Agent Framework applications to Amazon Bedrock models, enabling chat interactions and tool/function calling through a unified interface.

Yes, if you are already using Microsoft Agent Framework and want to use Amazon Bedrock models. The package has low install friction, active maintenance, no known vulnerabilities, and a permissive MIT license. It is in beta (version 1.0.0b260730), so expect potential API changes before a stable release.

Install

agent-framework-bedrock on PyPI

pip

pip install agent-framework-bedrock

uv

uv add agent-framework-bedrock

poetry

poetry add agent-framework-bedrock

Installing agent-framework-bedrock

Before you install

Low install friction with three lightweight runtime dependencies (agent-framework-core, boto3, botocore). Active maintenance with a recent release 15 days old and ongoing repository activity.

License in practice

MIT license permits broad use, modification, and distribution with minimal restrictions.

Quickstart

pip install agent-framework-bedrock --pre

from agent_framework_bedrock import BedrockChatClient

client = BedrockChatClient()
response = client.send_message("Hello")

Requires AWS credentials via BEDROCK_* environment variables and Python 3.10 or later.

Verify before relying

  • Whether BedrockChatClient supports all Bedrock model families or a specific subset
  • Specific tool/function calling capabilities and limitations compared to direct Bedrock API
  • Authentication flow details beyond BEDROCK_* environment variables

Package facts

License not declared (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 3 — agent-framework-core, boto3, botocore
Maintenance actively maintained — 15 days since the last release
Last repo commit
First released
Downloads 349,480/month — #7,334 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: agent_framework_bedrock-1.0.0b260730-py3-none-any.whl

Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed

Tags

bedrock chat clientamazon bedrock integrationagent framework bedrockbedrock model providerbedrock function callingmicrosoft agent framework bedrock
bedrock-integrationagent-frameworkllm-provider

More Application Frameworks packages

fastapi

FastAPI is a Python web framework for building…

permissive · top 100 on PyPI

annotated-doc

Provides a way to document function parameters,…

permissive · top 100 on PyPI

textual

Textual is a Python framework for building…

permissive · top 100 on PyPI

typer

Typer builds command-line applications from…

permissive · top 1,000 on PyPI

mcp

Build and connect to Model Context Protocol…

permissive · top 1,000 on PyPI

Werkzeug

Werkzeug is a WSGI utility library providing…

permissive · top 1,000 on PyPI

agent-framework-anthropic

Connects Agent Framework applications to…

permissive · top 15,000 on PyPI

aws_sdk_bedrock_runtime

Provides a Python client for interacting with…

permissive · top 15,000 on PyPI

bedrock-agentcore-starter-toolkit

Provides a Python CLI and SDK for scaffolding,…

permissive · top 5,000 on PyPI

agent-framework-core

Build, orchestrate, and deploy AI agents and…

permissive · top 5,000 on PyPI

agent-framework-azure-ai

Integrates Azure AI Foundry memory capabilities…

permissive · top 15,000 on PyPI

bedrock-agentcore

Deploy AI agents to AWS Bedrock AgentCore with…

permissive · top 5,000 on PyPI

agent-framework-azure-cosmos

Provides Azure Cosmos DB integration for the…

permissive · top 15,000 on PyPI

agent-framework-foundry-local

Integrates Microsoft Agent Framework with…

permissive · top 15,000 on PyPI

agent-framework-redis

Adds Redis-backed persistent memory and…

permissive · top 15,000 on PyPI

livekit-plugins-aws

Integrates Amazon AWS AI services (Bedrock,…

permissive · top 15,000 on PyPI

Further reading