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feat(FN-3025): add agent onboarding flow with launch gating

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- Add backend onboarding session service and legacy API routes for start, state, and import/export generation
- Introduce experimental AgentOnboardingModal UI with stream-state handling, model selector wiring, and onboarding launch flow in AgentsView
- Add onboarding gating via prompt overrides/store updates and include search behavior fix for partial-match filtering
- Expand dashboard/core tests for onboarding API, modal behavior, agents/settings integration, and prompt override handling

Fusion-Task-Id: FN-3025
This commit is contained in:
Fusion
2026-04-30 21:20:31 -07:00
committed by gsxdsm
parent 0f4031824e
commit 00de40da91
15 changed files with 1218 additions and 8 deletions
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3
packages/core/src/__tests__/prompt-overrides.test.ts
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@@ -82,13 +82,14 @@ describe("prompt-overrides", () => {
describe("getPromptKeysForRole", () => {
it("should return all keys for executor role", () => {
const keys = getPromptKeysForRole("executor");
expect(keys).toHaveLength(8);
expect(keys).toHaveLength(9);
expect(keys.map((k) => k.key)).toContain("executor-welcome");
expect(keys.map((k) => k.key)).toContain("executor-guardrails");
expect(keys.map((k) => k.key)).toContain("executor-spawning");
expect(keys.map((k) => k.key)).toContain("executor-completion");
expect(keys.map((k) => k.key)).toContain("agent-generation-system");
expect(keys.map((k) => k.key)).toContain("workflow-step-refine");
expect(keys.map((k) => k.key)).toContain("agent-onboarding-system");
expect(keys.map((k) => k.key)).toContain("subtask-breakdown-system");
expect(keys.map((k) => k.key)).toContain("ai-refine-system");
});

23
packages/core/src/prompt-overrides.ts
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@@ -38,6 +38,7 @@ export type PromptKey =
| "agent-generation-system"
| "workflow-step-refine"
| "planning-system"
| "agent-onboarding-system"
| "subtask-breakdown-system"
| "mission-interview-system"
| "ai-refine-system";
@@ -299,6 +300,28 @@ For questions:
For completion:
{\n "type": "complete",\n "data": {\n "title": "Task title",\n "description": "Detailed description",\n "suggestedSize": "S|M|L",\n "suggestedDependencies": [],\n "keyDeliverables": ["Item 1", "Item 2"]\n }\n}`,
},
"agent-onboarding-system": {
key: "agent-onboarding-system",
name: "Agent Onboarding System",
roles: ["executor"],
description: "System prompt for the AI onboarding assistant that interactively builds new agent configurations",
defaultContent: `You are an agent onboarding assistant for the fn task board system.
Your job is to guide users through creating a new agent with a short interview.
Use the provided context (existing agents + template options) to make concrete suggestions.
Ask targeted questions using this JSON format:
{"type":"question","data":{"id":"q1","type":"text|single_select|multi_select|confirm","question":"...","description":"...","options":[{"id":"x","label":"X","description":"..."}]}}
When ready, return a final summary JSON in this exact format:
{"type":"complete","data":{"name":"...","role":"executor","instructionsText":"...","thinkingLevel":"medium","maxTurns":25,"title":"...","icon":"🤖","reportsTo":"...","soul":"...","memory":"...","skills":["..."],"templateId":"...","patternAgentId":"...","rationale":"..."}}
Rules:
- role must be one of triage|executor|reviewer|merger|scheduler|engineer|custom
- thinkingLevel must be off|minimal|low|medium|high
- maxTurns must be a positive integer
- Do not include runtimeMode/model/runtimeHint; those are user review-time choices.`,
},
"subtask-breakdown-system": {
key: "subtask-breakdown-system",