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agent-framework/python/samples/02-agents/providers/amazon
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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

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
aab621f5eb ยท 2026-02-16 16:30:38 +00:00
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Bedrock Examples

This folder contains examples demonstrating how to use AWS Bedrock models with the Agent Framework. The sample uses BEDROCK_CHAT_MODEL_ID, BEDROCK_REGION, and AWS credentials (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, optional AWS_SESSION_TOKEN).

Examples

File Description
bedrock_chat_client.py Uses BedrockChatClient with a simple tool-enabled Agent to demonstrate direct Bedrock chat integration.

Environment Variables

  • BEDROCK_CHAT_MODEL_ID: Bedrock model ID (for example, anthropic.claude-3-5-sonnet-20240620-v1:0)
  • BEDROCK_REGION: AWS region (defaults to us-east-1 if unset)
  • AWS credentials via standard variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, optional AWS_SESSION_TOKEN)