feat: unify installation model catalog

backend/test/catalog-description-generation-routes.test.ts

@@ -24,7 +24,7 @@ import type { WorkspaceDescriptor } from "../src/workspaces/schema.js";
 
 const workspace: WorkspaceDescriptor = {
   workspace: {
-    schema_version: 3,
+    schema_version: 4,
     id: "psd-clinical",
     name: "Policlinico San Donato",
     language: "it",
@@ -36,11 +36,6 @@ const workspace: WorkspaceDescriptor = {
     port: 5432,
     supported_transports: ["postgres_direct"],
   },
-  semantic_index: {
-    vector_store: { engine: "qdrant", collection: "psd", dimensions: 1024, distance: "cosine" },
-    embedding: { provider: "ollama_internal", model: "qwen3-embedding:0.6b", dimensions: 1024 },
-  },
-  llm_policy: { allowed: ["zai/glm-5.2"] },
 };
 const revision: WorkspaceRevision = {
   id: "psd-clinical",
@@ -49,7 +44,7 @@ const revision: WorkspaceRevision = {
   snapshotPath: "/tmp/psd.yaml",
 };
 const configuredModel: ResolvedMetadataGenerationModel = {
-  id: "openai-mini",
+  id: "openai/gpt-4.1-mini",
   provider: "openai",
   model: "gpt-4.1-mini",
   apiKeyEnv: "OPENAI_API_KEY",
@@ -705,7 +700,7 @@ test("generates one selected Catalog Column from a single JSON code fence", asyn
     expect(completionRequest.messages[0]?.content).toContain('{"results":[');
     expect(completionRequest.messages[1]?.content).toContain(`"targetId":"${column.id}"`);
     expect(completionRequest.messages[1]?.content).not.toMatch(/source rows|samples|example values/i);
-    expect(start.body).not.toMatch(/test-provider-secret|gpt-4\.1|openai\/gpt|Catalog metadata/);
+    expect(start.body).not.toMatch(/test-provider-secret|Catalog metadata/);
 
     resolveCompletion(`\`\`\`json\n${JSON.stringify({
       results: [{
@@ -2909,7 +2904,7 @@ test("validates selected targets and resolves every requested target before laun
     const unknownModel = await app.inject({
       method: "POST",
       url: `/catalog/databases/${database.id}/description-generation-runs`,
-      payload: { modelId: "unknown-model", scope: "selected_columns", targetIds: [column.id] },
+      payload: { modelId: "openai/unknown-model", scope: "selected_columns", targetIds: [column.id] },
     });
     expect(unknownModel.statusCode).toBe(409);
     expect(unknownModel.json().code).toBe("metadata_generation_model_unavailable");