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Releases: SAP/STARS

Release 0.6.5

09 Jan 16:03
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f21f8ef

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Added

  • support for haiku

Fixed

  • ui scroll bug when setting weights for heatmap

Release 0.6.4

04 Dec 11:29
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3d29561

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Added

  • support for gemini-2.5-flash-lite model

Release 0.6.3

05 Nov 14:42
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44a8508

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Added

  • support new models from perplexity (sonar and sonar-pro) and from anthropic (claude-4.5-sonnet)

Release 0.6.2

21 Oct 15:35
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b3a744a

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Changed

  • Re-structure the code of the main.py (launching the backend) into different files
  • Use python3.12 instead of 3.11 as base image for backend's docker image

Release 0.6.1

17 Oct 12:33
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3f668cb

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Updated

  • update models with reference of official sap note from September (add mistral-medium)

Changed

  • do not require mandatory tracing

Fixed

  • Fix gptfuzz call

Chore

  • Add some optimization strategies to Dockerfile to try to respect the memory limit imposed by gha

Release 0.6.0

30 Sep 09:15
Immutable release. Only release title and notes can be modified.
64c290c

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Added

  • Crescendo and PAIR attacks (with pyrit)
  • run_all cli and route to scan one model using all the tools

Release 0.5.0

12 Sep 13:15
97b88f0

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Added

Changed

  • Replace the old generative-ai-hub-sdk library with the new sap-ai-gen-sdk
  • Backend connection is injected at frontend startup (instead of statically linked at build-time)

Minor

  • Several maintenance tasks (new gha for docker images builds, AI Pr bot, fixed eslint)

Release 0.4.0

21 Aug 16:25
bb91579

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Added

  • garak tool and 8 of its attacks

Fixed

  • Connection errors when ollama is off

Release 0.3.1

31 Jul 11:40
be05474

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Fixes

  • Bump pyrit attack code to use v0.9.x
  • Fix CORS setup
  • Fix ArtPrompt bug when missing nltk English stopwords

Release 0.3.0

25 Jul 12:23
b0a3d87

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Added

  • New dashboard with results from scans (built at runtime, results updated after each scan)
  • Dedicated frontend page for the dashboard
  • Support for models released in June 2025 on AI Core
  • Docker configurations

Changed

  • Agent LLM and embedding model are no longer hardcoded, and can be configured by users (#43 )
  • Enlarge the max tokens limit for agent text generation
  • Set codeattack successful results when the judge score is > 3 (was >2 before)

Fixed

  • Align return structure of attacks
  • Fix ollama runtime error when listing available models
  • Fix runtime promptmap exception due to empty system prompt