Release v0.6.6

CHANGELOG.md

@@ -1,3 +1,21 @@
+# Version: v0.6.6
+
+* [#182](https://github.com/SAP/STARS/pull/182): Bump pypdf from 6.0.0 to 6.6.0 in /backend-agent
+* [#183](https://github.com/SAP/STARS/pull/183): Bump unstructured from 0.18.21 to 0.18.27 in /backend-agent
+* [#185](https://github.com/SAP/STARS/pull/185): Bump filelock from 3.19.1 to 3.20.3 in /backend-agent
+* [#186](https://github.com/SAP/STARS/pull/186): Bump azure-core from 1.35.0 to 1.38.0 in /backend-agent
+* [#187](https://github.com/SAP/STARS/pull/187): Bump pyasn1 from 0.6.1 to 0.6.2 in /backend-agent
+* [#189](https://github.com/SAP/STARS/pull/189): Bump weasyprint from 67.0 to 68.0 in /backend-agent
+* [#191](https://github.com/SAP/STARS/pull/191): Bump lodash from 4.17.21 to 4.17.23 in /frontend
+* [#192](https://github.com/SAP/STARS/pull/192): Bump weasyprint from 67.0 to 68.0 in /backend-agent
+* [#193](https://github.com/SAP/STARS/pull/193): Bump pypdf from 6.0.0 to 6.6.2 in /backend-agent
+* [#194](https://github.com/SAP/STARS/pull/194): Bump python-multipart from 0.0.20 to 0.0.22 in /backend-agent
+* [#196](https://github.com/SAP/STARS/pull/196): Bump sentence-transformers from 5.2.0 to 5.2.2 in /backend-agent
+* [#197](https://github.com/SAP/STARS/pull/197): Bump unstructured from 0.18.27 to 0.18.31 in /backend-agent
+* [#199](https://github.com/SAP/STARS/pull/199): Bump protobuf from 5.29.5 to 5.29.6 in /backend-agent
+* [#201](https://github.com/SAP/STARS/pull/201): Bump langsmith from 0.4.23 to 0.6.3 in /backend-agent
+
+
 # Version: v0.6.5
 
 * [#168](https://github.com/SAP/STARS/pull/168): Bump weasyprint from 66.0 to 67.0 in /backend-agent

backend-agent/llm.py

@@ -23,20 +23,12 @@
 logger.addHandler(status.trace_logging)
 
 AICORE_MODELS = {
-    'aicore-ibm':
-    [
-        'ibm--granite-13b-chat'
-    ],
     'aicore-mistralai':
     [
         'mistralai--mistral-large-instruct',
         'mistralai--mistral-medium-instruct',
         'mistralai--mistral-small-instruct',
     ],
-    'aicore-opensource':
-    [
-        'meta--llama3.1-70b-instruct',
-    ],
     'aws-bedrock':
     [
         'amazon--nova-lite',
@@ -51,6 +43,7 @@
         'anthropic--claude-4-opus',
         'anthropic--claude-4.5-sonnet',
         'anthropic--claude-4.5-haiku',
+        'anthropic--claude-4.5-opus',
     ],
     'azure-openai':
     [
@@ -69,8 +62,6 @@
     ],
     'gcp-vertexai':
     [
-        'gemini-2.0-flash',
-        'gemini-2.0-flash-lite',
         'gemini-2.5-flash',
         'gemini-2.5-flash-lite',
         'gemini-2.5-pro',
@@ -97,28 +88,28 @@ def from_model_name(cls, model_name: str) -> 'LLM':
         Useful because the user can specify only the name in the agent.
         """
         # Foundation-models scenarios in AI Core
-        if model_name in AICORE_MODELS['azure-openai']:
+        if model_name in AICORE_MODELS.get('azure-openai', []):
             return AICoreOpenAILLM(model_name)
         # IBM models are compatible with OpenAI completion API
-        if model_name in AICORE_MODELS['aicore-ibm']:
+        if model_name in AICORE_MODELS.get('aicore-ibm', []):
             return AICoreOpenAILLM(model_name)
-        if model_name in AICORE_MODELS['aicore-opensource']:
+        if model_name in AICORE_MODELS.get('aicore-opensource', []):
             return AICoreOpenAILLM(model_name, False)
         # Mistral models are compatible with OpenAI completion API
-        if model_name in AICORE_MODELS['aicore-mistralai']:
+        if model_name in AICORE_MODELS.get('aicore-mistralai', []):
             return AICoreOpenAILLM(model_name, False)
         # Perplexity models are compatible with OpenAI completion API
-        if model_name in AICORE_MODELS['perplexity-ai']:
+        if model_name in AICORE_MODELS.get('perplexity-ai', []):
             return AICoreOpenAILLM(model_name)
 
         # Non OpenAI-compatible models in AI Core
-        if model_name in AICORE_MODELS['aws-bedrock']:
+        if model_name in AICORE_MODELS.get('aws-bedrock', []):
             if 'titan' in model_name:
                 # Titan models don't support system prompts
                 return AICoreAmazonBedrockLLM(model_name, False)
             else:
                 return AICoreAmazonBedrockLLM(model_name)
-        if model_name in AICORE_MODELS['gcp-vertexai']:
+        if model_name in AICORE_MODELS.get('gcp-vertexai', []):
             return AICoreGoogleVertexLLM(model_name)
 
         # Custom models

backend-agent/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = 'stars'
-version = '0.6.5'
+version = '0.6.6'
 description = 'Smart Threat AI Reporting Scanner (STARS)'
 readme = 'README.md'
 license = {text = 'Apache-2.0'}
@@ -26,16 +26,16 @@ dependencies = [
     'langchain-text-splitters>=0.3.0,<0.4.0',
     'PyYAML==6.0.3',
     'requests==2.32.5',
-    'unstructured==0.18.21',
+    'unstructured==0.18.31',
     'art==6.5',
     'pandas==2.3.3',
     'ollama==0.6.1',
-    'weasyprint==67.0',
+    'weasyprint==68.0',
     'pyrit==0.9.0',
     'codeattack @ git+https://github.com/marcorosa/CodeAttack',
     'gptfuzzer @ git+https://github.com/marcorosa/GPTFuzz@no-vllm',
     'garak==0.11.0',
-    'sentence-transformers==5.2.0',
+    'sentence-transformers==5.2.2',
 ]
 
 [project.optional-dependencies]