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* 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>
18 lines
816 B
Markdown
18 lines
816 B
Markdown
# Bedrock Examples
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This folder contains examples demonstrating how to use AWS Bedrock models with the Agent Framework. The sample
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uses `BEDROCK_CHAT_MODEL_ID`, `BEDROCK_REGION`, and AWS credentials (`AWS_ACCESS_KEY_ID`,
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`AWS_SECRET_ACCESS_KEY`, optional `AWS_SESSION_TOKEN`).
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## Examples
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| File | Description |
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|------|-------------|
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| [`bedrock_chat_client.py`](bedrock_chat_client.py) | Uses `BedrockChatClient` with a simple tool-enabled `Agent` to demonstrate direct Bedrock chat integration. |
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## Environment Variables
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- `BEDROCK_CHAT_MODEL_ID`: Bedrock model ID (for example, `anthropic.claude-3-5-sonnet-20240620-v1:0`)
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- `BEDROCK_REGION`: AWS region (defaults to `us-east-1` if unset)
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- AWS credentials via standard variables (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, optional `AWS_SESSION_TOKEN`)
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