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Release v5.2.0 into Main#388

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estohlmann merged 38 commits into
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release/v5.2.0
Sep 9, 2025
Merged

Release v5.2.0 into Main#388
estohlmann merged 38 commits into
mainfrom
release/v5.2.0

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v5.2.0

Key Features

Model Context Protocol (MCP) Enhancements

  • Connection Validation: Real-time connection testing with detailed feedback on server connectivity during connection creation/edit
  • Enhanced Debugging: Improved error handling and connection status reporting for MCP servers

Session Management Improvements

  • Time-Based Session Grouping: Sessions are now automatically organized into time-based groups based on updated date (Last Day, Last 7 Days, Last Month, Last 3 Months, Older)
  • Session ID Removal: Removed session ID from prompt input for cleaner user interface

Retrieval-Augmented Generation (RAG) Improvements

Document Processing

  • Document Chunk Processing Fixes: Resolved issues with document chunk processing and ingestion
  • Document Library Pagination: Added pagination support for the Document Library to handle large numbers of documents efficiently

Vector Store Configuration

  • Default Embedding Model Support: Added ability to define a default embedding model when creating or updating vector stores
  • IAM Permissions Optimization: Trimmed vector store IAM permissions to follow the principle of least privilege
  • Container Configuration: Added container override configuration for batch ingestion processes

Batch Ingestion

  • Container Configuration: Added support for container override configuration in batch ingestion jobs
  • Max Batch Jobs Setting: Implemented dynamic maximum batch jobs limit
  • Ingestion Rules Updates: Automatic updates to ingestion rules when Lambda functions are updated

Model Management Improvements

  • Base Container Configuration: Added support for using prebuilt model containers, instead of building during model deployment

UI/UX Enhancements

  • General UI Improvements: Various user interface enhancements to improve usability
  • Updated Default System Prompt: Updated LISAs default system prompt to take advantage of new rendering capabilities. Pairing this prompt with new UI components supports the display of:
    • Inline-Code
    • Mathematic equations using LaTex syntax
    • Mermaid Diagrams. These diagrams can also be copied and downloaded as images

Acknowledgements

Full Changelog: v5.1.0...v5.2.0

estohlmann and others added 30 commits August 23, 2025 03:44
@estohlmann
Auto-merge main back to develop post release
2fc6871
@dustins
Removed session ID from prompt input #371
0f42f2d
@estohlmann
Updating MCP to allow for a test server button and fixed post create/…
bbc965f 
…update routing
@jmharold
General UI Enhancements
7267aa9
@estohlmann
Adding ability to define a default embedding model when creating/upda…
c5ef436 
…ting vector store
@estohlmann
Trim vector store IAM permissions
8e694ea
@estohlmann
Time based session grouping
bf89b95
@bedanley
Updating Dependencies
8bf4ce8
@estohlmann
Fixing document chunk processing
1e0c448
@estohlmann
Revert "Fixing document chunk processing"
c2302b2 
This reverts commit 1e0c448.
@estohlmann
Fixing document chunk processing
abc1218
@bedanley
Add container override config for batch ingestion
b08182b
@estohlmann
Add Document Library Pagination
e24d2b7
@bedanley
Add Model Usage UI Components
05a7fbe
@bedanley
Organize ingestion code
4b95528
@bedanley
Fix imports
930e4ad
@bedanley
fixing tests and adding code coverage
78a9eec
@bedanley
fixing tests and adding code coverage
58c0885
@bedanley
Merge branch 'develop' into bug/batch-ingestion-container-config
2bf5cc2
@bedanley
Add auth test
45f3180
@bedanley
Add code coverage
2e67aab
@bedanley
Add code coverage
830effe
@bedanley
Create python dir for bundling rag
4f337d5
@bedanley
Fix unit test imports
8541118
@estohlmann
update git ignore
7de0943
@estohlmann
Merge branch 'develop' into bug/batch-ingestion-container-config
24b2424
@bedanley
Merge pull request #381 from awslabs/bug/batch-ingestion-container-co…
e4817c8 
…nfig

Bug/batch ingestion container config
@bedanley
Add TIKTOKEN_CACHE to RAG layer
f0cadfa
@bedanley
Merge pull request #382 from awslabs/bug/tiktoken_cache
a8c3d7e 
Add TIKTOKEN_CACHE to RAG layer
@bedanley
Bug/set max batch jobs (#386)
3c017b8 
* Set max batch jobs
* Update pre-commit deps
* Update ingestion rules when lambdas update
@estohlmann estohlmann marked this pull request as ready for review September 9, 2025 22:45
@estohlmann estohlmann merged commit 185587e into main Sep 9, 2025
16 checks passed
@estohlmann estohlmann deleted the release/v5.2.0 branch September 9, 2025 22:46
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@estohlmann @dustins @jmharold @bedanley