Files
agent-framework/python/packages/bedrock/AGENTS.md
T
Eduard van Valkenburg eaad042241 .NET: Python: Add AGENTS.md files and update coding standards (#3644)
* Add AGENTS.md files and update coding standards for Python

- Add root python/AGENTS.md with project structure and package links
- Add AGENTS.md for each package describing purpose and main classes
- Update .github/copilot-instructions.md with improved structure
- Update python/CODING_STANDARD.md with API review guidance:
  - Future annotations convention (#3578)
  - TypeVar naming convention (#3594)
  - Mapping vs MutableMapping (#3577)
  - Avoid shadowing built-ins (#3583)
  - Explicit exports (#3605)
  - Exception documentation guidelines (#3410)
- Simplify python/.github/instructions/python.instructions.md to reference AGENTS.md
- Remove AGENTS.md from .gitignore

* Fix purview import path in AGENTS.md

* Address PR review comments and restructure instructions

- Slim down .github/copilot-instructions.md to reference language-specific docs
- Add ADR section explaining templates and purpose
- Create dotnet/AGENTS.md with .NET-specific build commands, conventions, and sample guidance
- Update Python build/test instructions for core vs isolated changes
- Fix Microsoft.Extensions.AI package references
- Update kwargs guidance per issue #3642
- Fix Python sample helper placement (top, not bottom)
- Document new 'typing' poe task in DEV_SETUP.md

* Add 'typing' poe task to run both pyright and mypy

* Add kwargs guidelines from issue #3642 to CODING_STANDARD.md

* Clarify that connector packages pull in core as dependency
2026-02-05 10:27:46 +00:00

683 B

Bedrock Package (agent-framework-bedrock)

Integration with AWS Bedrock for LLM inference.

Main Classes

  • BedrockChatClient - Chat client for AWS Bedrock models
  • BedrockChatOptions - Options TypedDict for Bedrock-specific parameters
  • BedrockGuardrailConfig - Configuration for Bedrock guardrails
  • BedrockSettings - Pydantic settings for Bedrock configuration

Usage

from agent_framework_bedrock import BedrockChatClient

client = BedrockChatClient(model_id="anthropic.claude-3-sonnet-20240229-v1:0")
response = await client.get_response("Hello")

Import Path

from agent_framework_bedrock import BedrockChatClient