Integrations/amazon-sagemakerai/sagemaker-mlflow-agentcore-runtime

[ravees]

Amazon Bedrock AgentCore Samples Pull Request

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Issue number: 414
#414

Concise description of the PR

Changes to 03-integrations/amazon-sagemakerai/sagemaker-mlflow-agentcore-runtime
Because:
MLflow v3.4.0 released support for autologging  Strands Agents. This issue will be addressed by a PR containing example with step-by-step instructions, sample code, and deployment jupyter notebook to operationalize Strands Agents in Amazon Bedrock's AgentCore Runtime with Amazon SageMaker managed MLflow for observability. With this you will be able to observe Real-time agent interactions and tool invocations are recorded in MLflow for auditing and analytics of your agentic applications deployed in Amazon Bedrock AgentCore Runtime.

User experience

Please share what the user experience looks like before and after this change

Checklist

If your change doesn't seem to apply, please leave them unchecked.

• [ X] I have reviewed the contributing guidelines
• [ X] Add your name to CONTRIBUTORS.md
• [X ] Have you checked to ensure there aren't other open Pull Requests for the same update/change?
• Are you uploading a dataset?
• [X ] Have you documented Introduction, Architecture Diagram, Prerequisites, Usage, Sample Prompts, and Clean Up steps in your example README?
• [ X] I agree to resolve any issues created for this example in the future.
• [X ] I have performed a self-review of this change
• [ X] Changes have been tested
• [ X] Changes are documented

Acknowledgment

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of the project license.

[ravees]

@mttanke - Creating the PR as recommended by you for SageMaker Managed MLflow integration for Strands Agents on Amazon Bedrock AgentCore runtime.