Add source-backed AI Hub workspace surface

AGENTS.md

@@ -140,6 +140,10 @@
 - When reviews find inert navigation/dead-space controls, either wire them to an
   implemented workspace route/API or remove the control; do not leave
   high-traffic drawer/sidebar entries as permanent `준비 중` copy.
+- AI Hub tabs must be backed by signed source evidence from `/api/ai-hub/surface`
+  or a narrower signed API. Do not reintroduce static model-score fixtures,
+  fake workflow logs, or provider names that are not derived from prompt,
+  provider, or audit data.
 - Icon-only workspace controls must carry localized `aria-label` text matching
   the visible app language; do not rely on the SVG icon alone for Calendar,
   Tasks, drawer, modal, or toolbar actions.

backend/api/ai_hub.py

@@ -0,0 +1,354 @@
+import datetime
+import hashlib
+
+from fastapi import APIRouter, Depends
+from pydantic import BaseModel
+from sqlalchemy import desc, select
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from api.auth import AuthContext, get_auth_context, is_admin_role
+from db.models import LLMProvider, PromptTemplate, SecurityAuditEvent
+from db.session import get_db
+
+router = APIRouter(prefix="/api/ai-hub", tags=["ai-hub"])
+
+
+class AiHubSummaryCard(BaseModel):
+    summary_key: str
+    label_text: str
+    value_text: str
+    detail_text: str
+    state_code: str
+
+
+class AiHubPromptCard(BaseModel):
+    prompt_key: str
+    prompt_title: str
+    description_text: str | None
+    shared_scope: bool
+    owner_label: str
+    updated_at: datetime.datetime | None
+
+
+class AiHubWorkflowCard(BaseModel):
+    workflow_key: str
+    workflow_title: str
+    trigger_source: str
+    state_code: str
+    evidence_text: str
+
+
+class AiHubAgentCard(BaseModel):
+    agent_key: str
+    agent_title: str
+    model_label: str
+    state_code: str
+    configured: bool
+    governance_text: str
+
+
+class AiHubEvaluationMetric(BaseModel):
+    metric_key: str
+    metric_label: str
+    score_value: int
+    trend_text: str
+
+
+class AiHubRunEvent(BaseModel):
+    event_key: str
+    event_title: str
+    state_code: str
+    evidence_source: str
+    observed_at: datetime.datetime | None
+    detail_text: str | None
+
+
+class AiHubSurfaceResponse(BaseModel):
+    summary_cards: list[AiHubSummaryCard]
+    prompt_cards: list[AiHubPromptCard]
+    workflow_cards: list[AiHubWorkflowCard]
+    agent_cards: list[AiHubAgentCard]
+    evaluation_metrics: list[AiHubEvaluationMetric]
+    run_events: list[AiHubRunEvent]
+
+
+def _stable_key(prefix: str, *parts: object) -> str:
+    digest = hashlib.sha256(
+        "|".join(str(part or "") for part in parts).encode("utf-8")
+    ).hexdigest()
+    return f"{prefix}_{digest[:16]}"
+
+
+def _prompt_card(prompt: PromptTemplate) -> AiHubPromptCard:
+    return AiHubPromptCard(
+        prompt_key=_stable_key("prompt", prompt.created_by, prompt.id, prompt.title),
+        prompt_title=prompt.title,
+        description_text=prompt.description,
+        shared_scope=bool(prompt.is_shared),
+        owner_label=prompt.created_by,
+        updated_at=prompt.updated_at,
+    )
+
+
+def _agent_card(provider: LLMProvider) -> AiHubAgentCard:
+    configured = bool(provider.api_key)
+    if provider.is_active and configured:
+        state_code = "active"
+    elif configured:
+        state_code = "configured"
+    else:
+        state_code = "needs_key"
+
+    return AiHubAgentCard(
+        agent_key=_stable_key(
+            "agent",
+            provider.organization_id,
+            provider.id,
+            provider.name,
+        ),
+        agent_title=provider.name,
+        model_label=provider.provider_type,
+        state_code=state_code,
+        configured=configured,
+        governance_text="organization llm provider registry",
+    )
+
+
+def _workflow_cards(
+    prompts: list[AiHubPromptCard],
+    active_provider_count: int,
+) -> list[AiHubWorkflowCard]:
+    workflow_state = "ready" if active_provider_count else "needs_provider"
+    evidence_text = (
+        "active organization provider is available"
+        if active_provider_count
+        else "active organization provider is required"
+    )
+    return [
+        AiHubWorkflowCard(
+            workflow_key=_stable_key("workflow", prompt.prompt_key),
+            workflow_title=f"{prompt.prompt_title} 실행 흐름",
+            trigger_source="prompt_template",
+            state_code=workflow_state,
+            evidence_text=evidence_text,
+        )
+        for prompt in prompts[:5]
+    ]
+
+
+def _run_events(
+    prompts: list[PromptTemplate],
+    audit_events: list[SecurityAuditEvent],
+) -> list[AiHubRunEvent]:
+    events = [
+        AiHubRunEvent(
+            event_key=_stable_key("event", event.event_uid),
+            event_title=f"{event.resource_type} {event.event_action}",
+            state_code="recorded",
+            evidence_source=event.evidence_source,
+            observed_at=event.observed_at,
+            detail_text=event.detail_text,
+        )
+        for event in audit_events
+    ]
+    if events:
+        return events
+
+    return [
+        AiHubRunEvent(
+            event_key=_stable_key("event", prompt.created_by, prompt.id, prompt.title),
+            event_title=f"prompt template updated: {prompt.title}",
+            state_code="recorded",
+            evidence_source="prompt_templates",
+            observed_at=prompt.updated_at,
+            detail_text=prompt.description,
+        )
+        for prompt in prompts[:5]
+    ]
+
+
+def _score(active_provider_count: int, prompt_count: int, audit_count: int) -> int:
+    provider_score = 40 if active_provider_count else 0
+    prompt_score = min(40, prompt_count * 10)
+    audit_score = min(20, audit_count * 5)
+    return provider_score + prompt_score + audit_score
+
+
+def _evaluation_metrics(
+    prompt_count: int,
+    provider_count: int,
+    active_provider_count: int,
+    audit_count: int,
+) -> list[AiHubEvaluationMetric]:
+    return [
+        AiHubEvaluationMetric(
+            metric_key="prompt_coverage",
+            metric_label="프롬프트 커버리지",
+            score_value=min(100, prompt_count * 20),
+            trend_text=f"{prompt_count} source-backed prompt templates",
+        ),
+        AiHubEvaluationMetric(
+            metric_key="provider_readiness",
+            metric_label="Provider 준비도",
+            score_value=100 if active_provider_count else 0,
+            trend_text=f"{active_provider_count}/{provider_count} active providers",
+        ),
+        AiHubEvaluationMetric(
+            metric_key="audit_evidence",
+            metric_label="운영 증거",
+            score_value=min(100, audit_count * 20),
+            trend_text=f"{audit_count} scoped audit events",
+        ),
+        AiHubEvaluationMetric(
+            metric_key="execution_readiness",
+            metric_label="실행 준비도",
+            score_value=_score(active_provider_count, prompt_count, audit_count),
+            trend_text="derived from provider, prompt, and audit evidence",
+        ),
+    ]
+
+
+def _summary_cards(
+    prompt_count: int,
+    workflow_count: int,
+    provider_count: int,
+    active_provider_count: int,
+    run_event_count: int,
+    readiness_score: int,
+) -> list[AiHubSummaryCard]:
+    return [
+        AiHubSummaryCard(
+            summary_key="prompt_templates",
+            label_text="프롬프트",
+            value_text=str(prompt_count),
+            detail_text="source-backed templates",
+            state_code="ready" if prompt_count else "empty",
+        ),
+        AiHubSummaryCard(
+            summary_key="workflow_blueprints",
+            label_text="워크플로우",
+            value_text=str(workflow_count),
+            detail_text="prompt-derived execution flows",
+            state_code="ready" if workflow_count else "empty",
+        ),
+        AiHubSummaryCard(
+            summary_key="ai_providers",
+            label_text="AI 에이전트",
+            value_text=f"{active_provider_count}/{provider_count}",
+            detail_text="active organization providers",
+            state_code="ready" if active_provider_count else "needs_provider",
+        ),
+        AiHubSummaryCard(
+            summary_key="evaluation_readiness",
+            label_text="평가",
+            value_text=f"{readiness_score}%",
+            detail_text="derived operational readiness",
+            state_code="ready" if readiness_score >= 60 else "attention",
+        ),
+        AiHubSummaryCard(
+            summary_key="run_events",
+            label_text="실행 이력",
+            value_text=str(run_event_count),
+            detail_text="scoped source evidence",
+            state_code="ready" if run_event_count else "empty",
+        ),
+    ]
+
+
+async def _list_prompts(
+    db: AsyncSession,
+    auth_context: AuthContext,
+) -> list[PromptTemplate]:
+    result = await db.execute(
+        select(PromptTemplate)
+        .where(PromptTemplate.created_by == auth_context.user_id)
+        .order_by(desc(PromptTemplate.updated_at), desc(PromptTemplate.id))
+        .limit(8)
+    )
+    return list(result.scalars().all())
+
+
+async def _list_providers(
+    db: AsyncSession,
+    auth_context: AuthContext,
+) -> list[LLMProvider]:
+    if auth_context.organization_id is None or not is_admin_role(auth_context.role):
+        return []
+    result = await db.execute(
+        select(LLMProvider)
+        .where(LLMProvider.organization_id == auth_context.organization_id)
+        .order_by(desc(LLMProvider.updated_at), desc(LLMProvider.id))
+        .limit(8)
+    )
+    return list(result.scalars().all())
+
+
+async def _list_audit_events(
+    db: AsyncSession,
+    auth_context: AuthContext,
+) -> list[SecurityAuditEvent]:
+    if auth_context.organization_id is None:
+        return []
+    conditions = [
+        SecurityAuditEvent.organization_id == auth_context.organization_id,
+        SecurityAuditEvent.workspace_id == auth_context.workspace_id,
+        SecurityAuditEvent.resource_type == "llm_provider",
+    ]
+    if not is_admin_role(auth_context.role):
+        conditions.append(SecurityAuditEvent.actor_user_id == auth_context.user_id)
+
+    statement = (
+        select(SecurityAuditEvent)
+        .where(*conditions)
+        .order_by(
+            desc(SecurityAuditEvent.observed_at),
+            desc(SecurityAuditEvent.event_uid),
+        )
+        .limit(8)
+    )
+    result = await db.execute(statement)
+    return list(result.scalars().all())
+
+
+@router.get("/surface", response_model=AiHubSurfaceResponse)
+async def get_ai_hub_surface(
+    auth_context: AuthContext = Depends(get_auth_context),
+    db: AsyncSession = Depends(get_db),
+) -> AiHubSurfaceResponse:
+    prompts = await _list_prompts(db, auth_context)
+    providers = await _list_providers(db, auth_context)
+    audit_events = await _list_audit_events(db, auth_context)
+
+    prompt_cards = [_prompt_card(prompt) for prompt in prompts]
+    active_provider_count = sum(
+        1 for provider in providers if provider.is_active and provider.api_key
+    )
+    workflow_cards = _workflow_cards(prompt_cards, active_provider_count)
+    agent_cards = [_agent_card(provider) for provider in providers]
+    run_events = _run_events(prompts, audit_events)
+    readiness_score = _score(
+        active_provider_count,
+        len(prompt_cards),
+        len(audit_events),
+    )
+
+    return AiHubSurfaceResponse(
+        summary_cards=_summary_cards(
+            len(prompt_cards),
+            len(workflow_cards),
+            len(providers),
+            active_provider_count,
+            len(run_events),
+            readiness_score,
+        ),
+        prompt_cards=prompt_cards,
+        workflow_cards=workflow_cards,
+        agent_cards=agent_cards,
+        evaluation_metrics=_evaluation_metrics(
+            len(prompt_cards),
+            len(providers),
+            active_provider_count,
+            len(audit_events),
+        ),
+        run_events=run_events,
+    )

backend/main.py

@@ -23,6 +23,7 @@
 from api.webdav import router as webdav_router
 from api.security import router as security_router
 from api.data import router as data_router
+from api.ai_hub import router as ai_hub_router
 from core.config import settings
 from core.telemetry import setup_telemetry
 from services.imap_worker import ImapSyncWorker
@@ -103,6 +104,7 @@ async def add_security_headers(request: Request, call_next):
 app.include_router(webdav_router, dependencies=PRIVATE_API_DEPENDENCIES)
 app.include_router(security_router, dependencies=PRIVATE_API_DEPENDENCIES)
 app.include_router(data_router, dependencies=PRIVATE_API_DEPENDENCIES)
+app.include_router(ai_hub_router, dependencies=PRIVATE_API_DEPENDENCIES)
 
 
 @app.get("/")