fix(ci): make only Google LLM providers optional (#70)

Author: tashoecraft

.github/workflows/scan-skills.yml

@@ -103,7 +103,19 @@ jobs:
           python-version: ${{ inputs.python_version }}
 
       - name: Install skill-scanner
-        run: pip install cisco-ai-skill-scanner
+        env:
+          INPUT_LLM_MODEL: ${{ inputs.llm_model }}
+        run: |
+          EXTRAS=""
+          case "$INPUT_LLM_MODEL" in
+            gemini/*|*gemini*)
+              EXTRAS="[google]"
+              ;;
+            vertex_ai/*|vertex/*|*vertex*)
+              EXTRAS="[vertex]"
+              ;;
+          esac
+          pip install "cisco-ai-skill-scanner${EXTRAS}"
 
       - name: Validate inputs
         env:

README.md

@@ -80,6 +80,9 @@ pip install cisco-ai-skill-scanner
 # AWS Bedrock support
 pip install cisco-ai-skill-scanner[bedrock]
 
+# Google AI Studio / Gemini support
+pip install cisco-ai-skill-scanner[google]
+
 # Google Vertex AI support
 pip install cisco-ai-skill-scanner[vertex]
 

docs/reference/dependencies-and-llm-providers.md

@@ -48,8 +48,8 @@ All versions from [`pyproject.toml`](https://github.com/cisco-ai-defense/skill-s
 | `anthropic` | >= 0.40.0 | Anthropic Claude SDK |
 | `openai` | >= 1.0.0 | OpenAI SDK |
 | `litellm` | >= 1.77.0 | Multi-provider LLM routing |
-| `google-genai` | >= 0.2.0 | Google AI SDK |
-| `google-generativeai` | >= 0.8.0 | Google Generative AI SDK |
+| `google-genai` | optional via `[google]` | Google AI Studio / Gemini SDK |
+| `google-generativeai` | optional via `[google]` | Legacy Google Generative AI SDK compatibility |
 
 ## Optional Provider Extras
 
@@ -59,6 +59,9 @@ Install only what you need:
 # AWS Bedrock
 pip install "cisco-ai-skill-scanner[bedrock]"
 
+# Google AI Studio / Gemini
+pip install "cisco-ai-skill-scanner[google]"
+
 # Google Vertex AI
 pip install "cisco-ai-skill-scanner[vertex]"
 
@@ -71,6 +74,7 @@ pip install "cisco-ai-skill-scanner[all]"
 
 | Extra | Package | Version | Purpose |
 |-------|---------|---------|---------|
+| `google` | `google-genai`, `google-generativeai` | varies | Google AI Studio / Gemini SDK support |
 | `bedrock` | `boto3` | >= 1.28.57 | AWS Bedrock IAM credential support |
 | `vertex` | `google-cloud-aiplatform` | >= 1.38.0 | Google Vertex AI support |
 | `azure` | `azure-identity` | >= 1.15.0 | Azure managed identity auth |
@@ -88,7 +92,7 @@ Set `SKILL_SCANNER_LLM_MODEL` using the provider prefix convention:
 | OpenAI | `openai/gpt-4o` | |
 | AWS Bedrock | `bedrock/anthropic.claude-sonnet-4-20250514-v1:0` | Requires `[bedrock]` extra or API key |
 | Google Vertex AI | `vertex_ai/gemini-2.5-pro` | Requires `[vertex]` extra |
-| Google AI Studio | `gemini/gemini-2.5-flash` | Via LiteLLM |
+| Google AI Studio | `gemini/gemini-2.5-flash` | Requires `[google]` extra |
 | Azure OpenAI | `azure/my-deployment-name` | Requires `[azure]` extra |
 | Ollama (local) | `ollama/llama3` | No API key needed |
 

pyproject.toml

@@ -71,11 +71,14 @@ dependencies = [
     "anthropic==0.76.0",
     "openai==2.15.0",
     "litellm==1.82.3",
-    "google-genai==1.60.0",
-    "google-generativeai==0.8.6",
 ]
 
 [project.optional-dependencies]
+# Google AI Studio / Gemini SDKs
+google = [
+    "google-genai==1.60.0",
+    "google-generativeai==0.8.6",
+]
 # AWS Bedrock support (requires boto3 for IAM credentials)
 bedrock = [
     "boto3==1.42.37",
@@ -94,6 +97,8 @@ azure = [
 # supply-chain = ["guarddog==2.0.0"]
 # All optional provider extras
 all = [
+    "google-genai==1.60.0",
+    "google-generativeai==0.8.6",
     "boto3==1.42.37",
     "google-cloud-aiplatform==1.135.0",
     "azure-identity==1.25.1",