Files
agent-framework/python/packages/bedrock/AGENTS.md
T
Eduard van Valkenburg aab621f5eb Python: Fix tool normalization and provider sample consolidation (#3953)
* Fix tool normalization and provider samples

- restore callable/single-tool normalization paths and unset tool-choice behavior\n- consolidate and expand chat/provider samples (OpenAI/Azure/Anthropic/Ollama/Bedrock)\n- migrate Bedrock lazy import surface to agent_framework.amazon and move provider samples

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* small fix in sample

* Finalize provider, samples, and core cleanup

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix CopilotTool passthrough in agent

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix link

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-02-16 16:30:38 +00:00

681 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.amazon import BedrockChatClient

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

Import Path

from agent_framework.amazon import BedrockChatClient