feat(memory): config embedders (LOT C2) + suggestion contextuelle (LOT C3) + contexte projet partagé
- LOT C2 (§14.5.3) : use cases de configuration des embedders déclaratifs (List/Save/Delete + DescribeEmbedderEngines : modèles ONNX recommandés, environnement local détecté, stratégies compilées). UI EmbedderSettings. - LOT C3 (§14.5.5) : suggestion contextuelle best-effort à l'activation quand la mémoire dépasse le budget de recall sans embedder configuré (event EmbedderSuggested, anti-spam 1×/session, « ne plus demander »). - Contexte projet partagé .ideai/CONTEXT.md (model-agnostic) injecté à tous les agents/profils au lancement, avant la persona. UI ProjectContextPanel. Tests : backend workspace vert (0 échec) ; frontend 306/306. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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27
frontend/src/adapters/project.test.ts
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27
frontend/src/adapters/project.test.ts
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import { describe, it, expect, vi, beforeEach } from "vitest";
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const invoke = vi.fn();
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vi.mock("@tauri-apps/api/core", () => ({
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invoke: (...args: unknown[]) => invoke(...args),
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}));
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import { TauriProjectGateway } from "./project";
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describe("TauriProjectGateway invoke payloads", () => {
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beforeEach(() => invoke.mockReset().mockResolvedValue({}));
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it("reads and updates the project context under .ideai", async () => {
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invoke.mockResolvedValueOnce("# shared");
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await expect(new TauriProjectGateway().readProjectContext("proj-1")).resolves.toBe(
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"# shared",
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);
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expect(invoke).toHaveBeenCalledWith("read_project_context", {
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projectId: "proj-1",
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});
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await new TauriProjectGateway().updateProjectContext("proj-1", "# next");
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expect(invoke).toHaveBeenCalledWith("update_project_context", {
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request: { projectId: "proj-1", content: "# next" },
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});
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});
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});
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