Feat/14 session management tutorial#255
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- 5 notebooks: baseline, FileSessionManager, S3SessionManager, custom DynamoDB backend, multi-agent (Swarm/Graph) sessions - Self-contained S3 notebook with bucket create/delete - DynamoDB notebook with Decimal type handling for production use - Architecture diagram (SVG) - Tested end-to-end against live AWS (Bedrock, S3, DynamoDB)
…ix, AWS architecture diagram - Add botocore[crt] to all notebook install cells and requirements.txt - S3 notebook: auto-create/delete bucket using account ID - DynamoDB notebook: int() casts for Decimal types from DynamoDB - Replace SVG with PNG architecture diagram using AWS icons - Strip notebook outputs
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Hi @vaibhav-jain-lilly - Thanks for this — the progression is good.
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…mber to 19 - Merge 01-baseline, 02-file-session-manager, 03-s3-session-manager, 04-custom-dynamodb-backend into 01-single-agent-persistence.ipynb - Merge 05-multi-agent-sessions into 02-multi-agent-persistence.ipynb - Notebook 02 uses S3SessionManager for Swarm, FileSessionManager for Graph - Add setup cell with optional AWS_PROFILE placeholder in both notebooks - Pass boto_session explicitly to S3SessionManager for reliable credential resolution - Update README with AWS credentials setup section and correct cleanup entries - Fix broken link in 01-learn/README.md (was pointing to old 14- path)
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@manoj-selvakumar5 - I've made the changes, please take a look |
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Adds the 14-session-management tutorial to python/01-learn/.
The tutorial covers how to persist Strands agent conversation state across restarts using the session management system. It progresses through 5 notebooks:
01-baseline.ipynb — demonstrates the default stateless behavior (no persistence)
02-file-session-manager.ipynb — local persistence with FileSessionManager
03-s3-session-manager.ipynb — cloud persistence with S3SessionManager (self-contained: creates and deletes the S3 bucket)
04-custom-dynamodb-backend.ipynb — implementing a custom SessionRepository backed by DynamoDB
05-multi-agent-sessions.ipynb — session persistence with Swarm and Graph multi-agent patterns