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feat(FN-3554): expand AI agent interview onboarding flow

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Reuses the experimental onboarding modal for both create and edit, makes
onboarding mode-aware, and plumbs draft handling through the agent detail
view, new agent dialog, and import/export/generation routes.

Fusion-Task-Id: FN-3554
This commit is contained in:
Fusion
2026-05-07 07:47:33 -07:00
committed by gsxdsm
parent 78f62b18b6
commit f51ec4d3b5
14 changed files with 578 additions and 19 deletions
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88
packages/dashboard/src/__tests__/agent-onboarding.test.ts
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@@ -112,8 +112,9 @@ describe("agent-onboarding", () => {
).toThrow(/Invalid summary/);
});
it("builds compact onboarding context prompt", () => {
it("builds compact onboarding context prompt for create mode", () => {
const prompt = createAgentOnboardingSessionPrompt({
mode: "create",
intent: "Need a reviewer for docs",
existingAgents: [{ id: "a1", name: "Alpha", role: "reviewer" }],
templates: [{ id: "t1", label: "Reviewer Template", description: "General reviewer" }],
@@ -122,6 +123,39 @@ describe("agent-onboarding", () => {
expect(prompt).toContain("Need a reviewer for docs");
expect(prompt).toContain("a1:Alpha(reviewer)");
expect(prompt).toContain("t1:Reviewer Template");
expect(prompt).not.toContain("Current agent configuration:");
});
it("appends current agent configuration in edit mode prompt", () => {
const prompt = createAgentOnboardingSessionPrompt({
mode: "edit",
intent: "Improve this agent",
existingAgents: [{ id: "a1", name: "Alpha", role: "reviewer" }],
templates: [{ id: "t1", label: "Reviewer Template", description: "General reviewer" }],
existingAgentConfig: {
name: "Alpha",
role: "reviewer",
title: "Senior Reviewer",
instructionsText: "Current instructions",
soul: "Calm",
memory: "Team context",
reportsTo: "mgr-1",
skills: ["linting"],
model: "openai/gpt-5-mini",
thinkingLevel: "low",
maxTurns: 40,
runtimeHint: "gpu",
heartbeatIntervalMs: 30000,
heartbeatTimeoutMs: 120000,
maxConcurrentRuns: 2,
messageResponseMode: "immediate",
},
});
expect(prompt).toContain("Current agent configuration:");
expect(prompt).toContain("name: Alpha");
expect(prompt).toContain("instructionsText: Current instructions");
expect(prompt).toContain("messageResponseMode: immediate");
});
it("progresses through start -> question -> response -> final summary", async () => {
@@ -168,6 +202,58 @@ describe("agent-onboarding", () => {
expect(summary?.templateId).toBe("eng-template");
});
it("defaults onboarding sessions to create mode", async () => {
mockCreateFnAgent.mockResolvedValueOnce(
createMockAgent([
JSON.stringify({
type: "question",
data: { id: "q1", type: "text", question: "What should this agent do?" },
}),
]),
);
const sessionId = await startAgentOnboardingSession(
"127.0.0.1",
{ intent: "create", existingAgents: [], templates: [] },
process.cwd(),
);
await waitFor(() => Boolean(getAgentOnboardingSession(sessionId)));
expect(getAgentOnboardingSession(sessionId)?.mode).toBe("create");
});
it("stores edit mode sessions and includes current config in agent prompt", async () => {
mockCreateFnAgent.mockResolvedValueOnce(
createMockAgent([
JSON.stringify({
type: "question",
data: { id: "q1", type: "text", question: "What should change?" },
}),
]),
);
const sessionId = await startAgentOnboardingSession(
"127.0.0.1",
{
mode: "edit",
intent: "Improve this agent",
existingAgents: [],
templates: [],
existingAgentConfig: {
name: "Editor",
instructionsText: "Current instructions",
messageResponseMode: "on-heartbeat",
},
},
process.cwd(),
);
await waitFor(() => Boolean(getAgentOnboardingSession(sessionId)?.currentQuestion));
expect(getAgentOnboardingSession(sessionId)?.mode).toBe("edit");
expect(getAgentOnboardingSession(sessionId)?.contextPrompt).toContain("Current agent configuration:");
expect(getAgentOnboardingSession(sessionId)?.contextPrompt).toContain("name: Editor");
});
it("throws InvalidSessionStateError when responding without an active question", async () => {
mockCreateFnAgent.mockResolvedValueOnce(
createMockAgent([