feat: AI cluster naming with LiteLLM multi-provider support#34
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Tests Report 📄Tests Succees ✅JUnit Details
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Summary
Replace the old GPT-specific cluster naming with a provider-agnostic AI naming system powered by LiteLLM (100+ LLM providers).
openaidependency withlitellmfor universal LLM access (OpenAI, Anthropic, Gemini, Ollama, etc.)/settingsroute for configuring AI provider, model, API key, base URL, and temperature. Settings stored in browser localStorage; API key sent per-request (never persisted server-side)/api/ai/name-clustersand saves results as annotations/api/ai/name-clusters,/api/ai/name-sub-clusters,/api/ai/test-connection) with full test coverageChanges
Backend (Python)
openaiwithlitellminpyproject.tomlSettings,PlotRequest, and scatter plot codeai_naming.pymodule withget_cluster_name(),get_sub_cluster_name(),test_connection()routes/ai.pywith three endpoints and sample-based item extractionmodels.pyai_naming, 12 tests for AI routes (265 total, all passing, 97%+ coverage)Frontend (TypeScript/React)
SettingsPage.tsxwith full AI configuration form and connection testapi/ai.tswith localStorage management and API client functionsClusterLegend.tsxfor top-level clustersClusterDetailDrawer.tsxfor sub-clustersplotStore.tsadditions:isNamingClusters,isNamingSubClusters,updateSubClusterNamesPlotControls.tsxtypes/index.tsVerification
npx tsc --noEmitclean