mirror of
https://github.com/garrytan/gbrain.git
synced 2026-08-16 01:42:23 +00:00
Compare commits
2
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
89579780e0 | ||
|
|
cf2deedfc6 |
Vendored
+56
File diff suppressed because one or more lines are too long
Vendored
-57
File diff suppressed because one or more lines are too long
Vendored
+1
-1
@@ -7,7 +7,7 @@
|
||||
<link rel="preconnect" href="https://fonts.googleapis.com" />
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet" />
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<script type="module" crossorigin src="/admin/assets/index-CzLjRij_.js"></script>
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<script type="module" crossorigin src="/admin/assets/index-CoGEje3-.js"></script>
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<link rel="stylesheet" crossorigin href="/admin/assets/index-GxkWX7v3.css">
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</head>
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<body>
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@@ -39,7 +39,6 @@ export const api = {
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stats: () => apiFetch('/admin/api/stats'),
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health: () => apiFetch('/admin/api/health-indicators'),
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agents: () => apiFetch('/admin/api/agents'),
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sources: () => apiFetch('/admin/api/sources'),
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requests: (page = 1, qs = '') => apiFetch(`/admin/api/requests?page=${page}${qs}`),
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apiKeys: () => apiFetch('/admin/api/api-keys'),
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createApiKey: (name: string) => apiFetch('/admin/api/api-keys', { method: 'POST', body: JSON.stringify({ name }) }),
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@@ -23,16 +23,9 @@ interface Agent {
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total_requests: number;
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requests_today: number;
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token_ttl: number | null;
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source_id: string | null;
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federated_read: string[] | null;
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status: 'active' | 'revoked';
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}
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interface SourceOption {
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id: string;
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name: string | null;
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}
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interface ApiKey {
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id: string;
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name: string;
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@@ -95,7 +88,6 @@ export function AgentsPage() {
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<th>Name</th>
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<th>Type</th>
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<th>Scopes</th>
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<th>Source</th>
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<th>Status</th>
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<th>Requests</th>
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<th>Last Used</th>
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@@ -116,9 +108,6 @@ export function AgentsPage() {
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<span key={s} className={`badge badge-${s}`} style={{ marginRight: 4 }}>{s}</span>
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))}
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</td>
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<td className="mono" style={{ fontSize: 12, color: 'var(--text-secondary)' }}>
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{a.auth_type === 'oauth' ? (a.source_id || 'default') : 'all'}
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</td>
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<td>
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<span className={`badge ${a.status === 'active' ? 'badge-success' : 'badge-danger'}`}>{a.status}</span>
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</td>
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@@ -268,29 +257,9 @@ function RegisterModal({ onClose, onRegistered }: {
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Object.fromEntries(ALLOWED_SCOPES_LIST.map(s => [s, s === 'read'])) as Record<Scope, boolean>,
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);
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const [ttl, setTtl] = useState('86400'); // 24h default
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const [redirectUris, setRedirectUris] = useState('');
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const [sources, setSources] = useState<SourceOption[]>([{ id: 'default', name: 'default' }]);
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const [sourceId, setSourceId] = useState('default');
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const [readSources, setReadSources] = useState<Record<string, boolean>>({ default: true });
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const [loading, setLoading] = useState(false);
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const [error, setError] = useState('');
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useEffect(() => {
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api.sources()
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.then((rows: SourceOption[]) => {
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const nextSources = rows.length > 0 ? rows : [{ id: 'default', name: 'default' }];
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const nextSourceId = nextSources.some(s => s.id === sourceId) ? sourceId : nextSources[0].id;
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setSources(nextSources);
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setSourceId(nextSourceId);
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setReadSources(prev => {
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const next = Object.fromEntries(nextSources.map(s => [s.id, Boolean(prev[s.id])])) as Record<string, boolean>;
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next[nextSourceId] = true;
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return next;
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});
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})
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.catch(() => {});
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}, []);
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const ttlOptions = [
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{ label: '1 hour', value: '3600' },
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{ label: '24 hours', value: '86400' },
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@@ -308,24 +277,11 @@ function RegisterModal({ onClose, onRegistered }: {
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try {
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// Use the CLI registration endpoint (POST to admin API)
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const selectedScopes = Object.entries(scopes).filter(([, v]) => v).map(([k]) => k).join(' ');
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const federatedRead = sources.map(s => s.id).filter(id => readSources[id]);
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if (federatedRead.length === 0) { setError('Select at least one read source'); setLoading(false); return; }
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// #1036: redirect URIs, one per line. Mirrors the CLI convention
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// (src/commands/auth.ts): presence of redirect URIs implies
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// authorization_code + refresh_token grants unless the user had none.
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const uris = redirectUris.split('\n').map(u => u.trim()).filter(Boolean);
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const res = await fetch('/admin/api/register-client', {
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method: 'POST',
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credentials: 'same-origin',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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name: name.trim(),
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scopes: selectedScopes,
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tokenTtl: ttl === '0' ? 315360000 : Number(ttl),
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source_id: sourceId,
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federated_read: federatedRead,
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...(uris.length > 0 ? { redirectUris: uris, grantTypes: ['authorization_code', 'refresh_token'] } : {}),
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}),
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body: JSON.stringify({ name: name.trim(), scopes: selectedScopes, tokenTtl: ttl === '0' ? 315360000 : Number(ttl) }),
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});
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if (!res.ok) throw new Error('Registration failed');
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const data = await res.json();
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@@ -356,42 +312,6 @@ function RegisterModal({ onClose, onRegistered }: {
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))}
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</div>
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</div>
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<div style={{ marginBottom: 16 }}>
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<label>Write Source</label>
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<select value={sourceId} onChange={e => {
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const id = e.target.value;
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setSourceId(id);
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setReadSources(p => ({ ...p, [id]: true }));
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}}
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style={{ width: '100%', background: 'var(--bg-secondary)', color: 'var(--text-primary)', border: '1px solid var(--border)', borderRadius: 6, padding: '6px 10px', fontSize: 14 }}>
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{sources.map(s => <option key={s.id} value={s.id}>{s.name && s.name !== s.id ? `${s.id} (${s.name})` : s.id}</option>)}
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</select>
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</div>
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<div style={{ marginBottom: 16 }}>
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<label>Read Sources</label>
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<div className="checkbox-group">
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{sources.map(s => (
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<label key={s.id} className="checkbox-label">
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<input
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type="checkbox"
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checked={Boolean(readSources[s.id])}
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onChange={e => setReadSources(p => ({ ...p, [s.id]: e.target.checked }))}
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/>
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{s.name && s.name !== s.id ? `${s.id} (${s.name})` : s.id}
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</label>
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))}
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</div>
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</div>
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<div style={{ marginBottom: 16 }}>
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<label>Redirect URIs <span style={{ color: 'var(--text-secondary)', fontWeight: 400 }}>(optional, one per line — enables authorization_code flow)</span></label>
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<textarea
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placeholder={'https://example.com/callback'}
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value={redirectUris}
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onChange={e => setRedirectUris(e.target.value)}
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rows={2}
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style={{ width: '100%', background: 'var(--bg-secondary)', color: 'var(--text-primary)', border: '1px solid var(--border)', borderRadius: 6, padding: '6px 10px', fontSize: 13, fontFamily: 'inherit', resize: 'vertical' }}
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/>
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</div>
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<div style={{ marginBottom: 20 }}>
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<label>Token Lifetime</label>
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<select value={ttl} onChange={e => setTtl(e.target.value)}
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@@ -608,8 +528,6 @@ function AgentDrawer({ agent, onClose, onRevoked }: { agent: Agent; onClose: ()
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client_name: agentName,
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auth_type: agent.auth_type,
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scope: agent.scope,
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source_id: agent.source_id,
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federated_read: agent.federated_read,
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}, null, 2),
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};
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@@ -629,10 +547,6 @@ function AgentDrawer({ agent, onClose, onRevoked }: { agent: Agent; onClose: ()
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<span>{(agent.scope || '').split(' ').filter(Boolean).map(s => (
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<span key={s} className={`badge badge-${s}`} style={{ marginRight: 4 }}>{s}</span>
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))}</span>
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<span style={{ color: 'var(--text-secondary)' }}>Write Source</span>
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<span className="mono">{agent.source_id || (isOAuth ? 'default' : 'all')}</span>
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<span style={{ color: 'var(--text-secondary)' }}>Read Sources</span>
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<span className="mono">{isOAuth ? (agent.federated_read && agent.federated_read.length > 0 ? agent.federated_read.join(', ') : (agent.source_id || 'default')) : 'all'}</span>
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<span style={{ color: 'var(--text-secondary)' }}>Registered</span>
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<span>{new Date(agent.created_at).toLocaleDateString()}</span>
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<span style={{ color: 'var(--text-secondary)' }}>Token TTL</span>
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@@ -1,13 +1,13 @@
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||||
// AUTO-GENERATED — do not edit by hand.
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||||
// Run `bun run scripts/build-admin-embedded.ts` to regenerate.
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// Source: admin/dist/ at 2026-07-21.
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// Source: admin/dist/ at 2026-05-27.
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//
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||||
// Bun resolves the file: imports to a path that works at runtime even
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||||
// inside a compiled binary (`bun build --compile`). The manifest maps
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||||
// the request path the express handler sees to (resolved-path, mime).
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||||
|
||||
// @ts-ignore — type: 'file' is Bun ESM, not in lib.d.ts
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||||
import A_0_assets_index_CzLjRij__js from '../admin/dist/assets/index-CzLjRij_.js' with { type: 'file' };
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import A_0_assets_index_CoGEje3__js from '../admin/dist/assets/index-CoGEje3-.js' with { type: 'file' };
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||||
// @ts-ignore — type: 'file' is Bun ESM, not in lib.d.ts
|
||||
import A_1_assets_index_GxkWX7v3_css from '../admin/dist/assets/index-GxkWX7v3.css' with { type: 'file' };
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||||
// @ts-ignore — type: 'file' is Bun ESM, not in lib.d.ts
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@@ -19,7 +19,7 @@ export interface AdminAsset {
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||||
}
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export const ADMIN_ASSETS: Record<string, AdminAsset> = {
|
||||
"/admin/assets/index-CzLjRij_.js": { path: A_0_assets_index_CzLjRij__js as unknown as string, mime: "application/javascript; charset=utf-8" },
|
||||
"/admin/assets/index-CoGEje3-.js": { path: A_0_assets_index_CoGEje3__js as unknown as string, mime: "application/javascript; charset=utf-8" },
|
||||
"/admin/assets/index-GxkWX7v3.css": { path: A_1_assets_index_GxkWX7v3_css as unknown as string, mime: "text/css; charset=utf-8" },
|
||||
"/admin/index.html": { path: A_2_index_html as unknown as string, mime: "text/html; charset=utf-8" },
|
||||
};
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||||
|
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+14
-1
@@ -1,5 +1,5 @@
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||||
import type { BrainEngine } from '../core/engine.ts';
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import { embedBatch, currentEmbeddingSignature } from '../core/embedding.ts';
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import { embedBatch, currentEmbeddingSignature, resolveEmbeddingModelLabel } from '../core/embedding.ts';
|
||||
import type { ChunkInput } from '../core/types.ts';
|
||||
import { chunkText } from '../core/chunkers/recursive.ts';
|
||||
import { createProgress, type ProgressReporter } from '../core/progress.ts';
|
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@@ -581,11 +581,16 @@ async function embedPage(
|
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for (let j = 0; j < toEmbed.length; j++) {
|
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embeddingMap.set(toEmbed[j].chunk_index, embeddings[j]);
|
||||
}
|
||||
// #1717: label each (re)embedded chunk with the model that actually
|
||||
// produced its vector. Preserved chunks (not re-embedded this pass) keep
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||||
// their existing model so a mixed-model page isn't relabeled wholesale.
|
||||
const embedModelLabel = resolveEmbeddingModelLabel();
|
||||
const updated: ChunkInput[] = chunks.map(c => ({
|
||||
chunk_index: c.chunk_index,
|
||||
chunk_text: c.chunk_text,
|
||||
chunk_source: c.chunk_source,
|
||||
embedding: embeddingMap.get(c.chunk_index),
|
||||
model: embeddingMap.has(c.chunk_index) && embedModelLabel ? embedModelLabel : c.model,
|
||||
token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
|
||||
}));
|
||||
|
||||
@@ -717,12 +722,16 @@ async function embedAll(
|
||||
for (let j = 0; j < toEmbed.length; j++) {
|
||||
embeddingMap.set(toEmbed[j].chunk_index, embeddings[j]);
|
||||
}
|
||||
// #1717: stamp the resolved embedding model on (re)embedded chunks;
|
||||
// preserve the existing model on chunks left untouched.
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||||
const embedModelLabel = resolveEmbeddingModelLabel();
|
||||
// Preserve ALL chunks, only update embeddings for stale ones
|
||||
const updated: ChunkInput[] = chunks.map(c => ({
|
||||
chunk_index: c.chunk_index,
|
||||
chunk_text: c.chunk_text,
|
||||
chunk_source: c.chunk_source,
|
||||
embedding: embeddingMap.get(c.chunk_index) ?? undefined,
|
||||
model: embeddingMap.has(c.chunk_index) && embedModelLabel ? embedModelLabel : c.model,
|
||||
token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
|
||||
}));
|
||||
await observed(pacer, () => engine.upsertChunks(page.slug, updated, pageOpts));
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||||
@@ -1012,11 +1021,15 @@ async function embedAllStale(
|
||||
for (let j = 0; j < stale.length; j++) {
|
||||
staleIdxToEmbedding.set(stale[j].chunk_index, embeddings[j]);
|
||||
}
|
||||
// #1717: label the re-embedded (stale) chunks with the resolved
|
||||
// model; preserve the existing model on the non-stale chunks.
|
||||
const embedModelLabel = resolveEmbeddingModelLabel();
|
||||
const merged: ChunkInput[] = existing.map(c => ({
|
||||
chunk_index: c.chunk_index,
|
||||
chunk_text: c.chunk_text,
|
||||
chunk_source: c.chunk_source,
|
||||
embedding: staleIdxToEmbedding.get(c.chunk_index) ?? undefined,
|
||||
model: staleIdxToEmbedding.has(c.chunk_index) && embedModelLabel ? embedModelLabel : c.model,
|
||||
token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
|
||||
}));
|
||||
await observed(pacer, () => engine.upsertChunks(slug, merged, { sourceId: keySourceId }));
|
||||
|
||||
@@ -39,7 +39,6 @@ import * as db from '../core/db.ts';
|
||||
import { sqlQueryForEngine, executeRawJsonb } from '../core/sql-query.ts';
|
||||
import { MinionQueue } from '../core/minions/queue.ts';
|
||||
import { isRetryableError } from '../core/retry-matcher.ts';
|
||||
import { normalizeAdminClientSourceScope } from '../core/admin-source-scope.ts';
|
||||
import {
|
||||
computeContentHash,
|
||||
validateIngestionEvent,
|
||||
@@ -1087,7 +1086,6 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
|
||||
const oauthClients = await sql`
|
||||
SELECT c.client_id as id, c.client_name as name, 'oauth' as auth_type,
|
||||
c.grant_types, c.scope, c.created_at, c.token_ttl,
|
||||
c.source_id, c.federated_read,
|
||||
CASE WHEN c.deleted_at IS NOT NULL THEN 'revoked' ELSE 'active' END as status,
|
||||
(SELECT max(created_at) FROM mcp_request_log WHERE token_name = c.client_id) as last_used_at,
|
||||
(SELECT count(*)::int FROM mcp_request_log WHERE token_name = c.client_id) as total_requests,
|
||||
@@ -1097,7 +1095,6 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
|
||||
const legacyKeys = await sql`
|
||||
SELECT a.id, a.name, 'api_key' as auth_type,
|
||||
'{"bearer"}' as grant_types, 'read write admin' as scope, a.created_at, null as token_ttl,
|
||||
null as source_id, null as federated_read,
|
||||
CASE WHEN a.revoked_at IS NOT NULL THEN 'revoked' ELSE 'active' END as status,
|
||||
a.last_used_at,
|
||||
(SELECT count(*)::int FROM mcp_request_log WHERE token_name = a.name) as total_requests,
|
||||
@@ -1110,17 +1107,6 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
|
||||
}
|
||||
});
|
||||
|
||||
app.get('/admin/api/sources', requireAdmin, async (_req: Request, res: Response) => {
|
||||
try {
|
||||
const sources = await engine.listAllSources({ includeArchived: false });
|
||||
const options = sources.map(s => ({ id: s.id, name: s.name }));
|
||||
if (!options.some(s => s.id === 'default')) options.unshift({ id: 'default', name: 'default' });
|
||||
res.json(options);
|
||||
} catch (e) {
|
||||
res.status(503).json({ error: 'service_unavailable' });
|
||||
}
|
||||
});
|
||||
|
||||
// v0.38 Slice 4 — per-OAuth-client agent spend viewer. Pre-computes today's
|
||||
// spend (committed + pending reservations) per client so the Agents tab
|
||||
// can render a "$X / $Y today" cell. Read-side endpoint only — no mutation.
|
||||
@@ -1454,8 +1440,6 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
|
||||
// missing, empty) and rejects the rest with a structured 400.
|
||||
const { name, tokenTtl, grantTypes, redirectUris, tokenEndpointAuthMethod } = req.body;
|
||||
const rawScopes = (req.body as Record<string, unknown>).scopes ?? (req.body as Record<string, unknown>).scope;
|
||||
const rawSourceId = (req.body as Record<string, unknown>).source_id ?? (req.body as Record<string, unknown>).sourceId;
|
||||
const rawFederatedRead = (req.body as Record<string, unknown>).federated_read ?? (req.body as Record<string, unknown>).federatedRead;
|
||||
if (!name) { res.status(400).json({ error: 'Name required' }); return; }
|
||||
let scopeString: string;
|
||||
try {
|
||||
@@ -1486,23 +1470,8 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
|
||||
});
|
||||
return;
|
||||
}
|
||||
let sourceScope: ReturnType<typeof normalizeAdminClientSourceScope>;
|
||||
try {
|
||||
const sources = await engine.listAllSources({ includeArchived: false });
|
||||
sourceScope = normalizeAdminClientSourceScope(
|
||||
rawSourceId,
|
||||
rawFederatedRead,
|
||||
sources.map(s => s.id),
|
||||
);
|
||||
} catch (e) {
|
||||
res.status(400).json({
|
||||
error: 'invalid_source_scope',
|
||||
message: e instanceof Error ? e.message : String(e),
|
||||
});
|
||||
return;
|
||||
}
|
||||
const result = await oauthProvider.registerClientManual(
|
||||
name, grants, scopeString, uris, sourceScope.sourceId, sourceScope.federatedRead, validatedAuthMethod,
|
||||
name, grants, scopeString, uris, 'default', undefined, validatedAuthMethod,
|
||||
);
|
||||
// Set per-client TTL if specified
|
||||
if (tokenTtl && Number(tokenTtl) > 0) {
|
||||
|
||||
@@ -1,51 +0,0 @@
|
||||
import { isValidSourceId } from './source-id.ts';
|
||||
|
||||
export interface AdminClientSourceScope {
|
||||
sourceId: string;
|
||||
federatedRead: string[];
|
||||
}
|
||||
|
||||
function parseFederatedReadInput(raw: unknown, sourceId: string): string[] {
|
||||
if (raw === undefined || raw === null) return [sourceId];
|
||||
if (typeof raw === 'string') {
|
||||
const values = raw.split(',').map(s => s.trim()).filter(Boolean);
|
||||
return values.length > 0 ? values : [sourceId];
|
||||
}
|
||||
if (Array.isArray(raw)) {
|
||||
if (!raw.every(v => typeof v === 'string')) {
|
||||
throw new Error('federated_read must be an array of source ids');
|
||||
}
|
||||
const values = raw.map(v => v.trim()).filter(Boolean);
|
||||
return values.length > 0 ? values : [sourceId];
|
||||
}
|
||||
throw new Error('federated_read must be a string or array');
|
||||
}
|
||||
|
||||
export function normalizeAdminClientSourceScope(
|
||||
rawSourceId: unknown,
|
||||
rawFederatedRead: unknown,
|
||||
availableSourceIds: string[],
|
||||
): AdminClientSourceScope {
|
||||
const knownSources = new Set(availableSourceIds);
|
||||
const fallbackSourceId = knownSources.has('default') ? 'default' : (availableSourceIds[0] ?? 'default');
|
||||
const sourceId = rawSourceId === undefined || rawSourceId === null || rawSourceId === ''
|
||||
? fallbackSourceId
|
||||
: rawSourceId;
|
||||
if (!isValidSourceId(sourceId)) {
|
||||
throw new Error(`Invalid source_id: ${JSON.stringify(sourceId)}`);
|
||||
}
|
||||
if (knownSources.size > 0 && !knownSources.has(sourceId)) {
|
||||
throw new Error(`Unknown source_id: ${sourceId}`);
|
||||
}
|
||||
|
||||
const federatedRead = Array.from(new Set(parseFederatedReadInput(rawFederatedRead, sourceId)));
|
||||
for (const id of federatedRead) {
|
||||
if (!isValidSourceId(id)) {
|
||||
throw new Error(`Invalid federated_read source_id: ${JSON.stringify(id)}`);
|
||||
}
|
||||
if (knownSources.size > 0 && !knownSources.has(id)) {
|
||||
throw new Error(`Unknown federated_read source_id: ${id}`);
|
||||
}
|
||||
}
|
||||
return { sourceId, federatedRead };
|
||||
}
|
||||
@@ -20,6 +20,7 @@
|
||||
import type { BrainEngine } from './engine.ts';
|
||||
import type { ChunkInput } from './types.ts';
|
||||
import { embedBatchWithBackoff } from '../commands/embed.ts';
|
||||
import { resolveEmbeddingModelLabel } from './embedding.ts';
|
||||
import { type DbPacer, createNoopPacer, observed } from './db-pacer.ts';
|
||||
import { AbortError } from './abort-check.ts';
|
||||
|
||||
@@ -200,11 +201,17 @@ export async function embedStaleForSource(
|
||||
for (let j = 0; j < stale.length; j++) {
|
||||
staleIdxToEmbedding.set(stale[j].chunk_index, embeddings[j]);
|
||||
}
|
||||
// #1717: label re-embedded chunks with the model that produced the
|
||||
// vector; preserved chunks keep their existing model. Without this,
|
||||
// upsertChunks falls back to DEFAULT_EMBEDDING_MODEL for every chunk
|
||||
// (the same mislabel the embed.ts paths fixed).
|
||||
const embedModelLabel = resolveEmbeddingModelLabel();
|
||||
const merged: ChunkInput[] = existing.map((c) => ({
|
||||
chunk_index: c.chunk_index,
|
||||
chunk_text: c.chunk_text,
|
||||
chunk_source: c.chunk_source,
|
||||
embedding: staleIdxToEmbedding.get(c.chunk_index) ?? undefined,
|
||||
model: staleIdxToEmbedding.has(c.chunk_index) && embedModelLabel ? embedModelLabel : c.model,
|
||||
token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
|
||||
// Carry through per-chunk metadata. upsertChunks writes these as
|
||||
// EXCLUDED.<col> (not COALESCE), so omitting them here resets image
|
||||
|
||||
@@ -113,6 +113,21 @@ export async function embedBatch(
|
||||
return results;
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolve the embedding model label (`provider:model`) to stamp onto
|
||||
* `content_chunks.model`, so each chunk records the model that actually
|
||||
* produced its vector instead of the engine's hardcoded default (#1717).
|
||||
* Returns undefined if the gateway is unconfigured; callers then fall back
|
||||
* to the chunk's existing model rather than mislabeling it.
|
||||
*/
|
||||
export function resolveEmbeddingModelLabel(): string | undefined {
|
||||
try {
|
||||
return gatewayGetModel();
|
||||
} catch {
|
||||
return undefined;
|
||||
}
|
||||
}
|
||||
|
||||
/** Currently-configured embedding model (short form without provider prefix). */
|
||||
export function getEmbeddingModelName(): string {
|
||||
return gatewayGetModel().split(':').slice(1).join(':') || 'text-embedding-3-large';
|
||||
|
||||
+11
-1
@@ -8,7 +8,7 @@ import { chunkText } from './chunkers/recursive.ts';
|
||||
import { chunkCodeText, chunkCodeTextFull, detectCodeLanguage, CHUNKER_VERSION } from './chunkers/code.ts';
|
||||
import { findChunkForOffset } from './chunkers/edge-extractor.ts';
|
||||
import { extractCodeRefs, imageOfCandidates } from './link-extraction.ts';
|
||||
import { embedBatch, embedMultimodal, currentEmbeddingSignature } from './embedding.ts';
|
||||
import { embedBatch, embedMultimodal, currentEmbeddingSignature, resolveEmbeddingModelLabel } from './embedding.ts';
|
||||
import { slugifyPath, slugifyCodePath, isCodeFilePath } from './sync.ts';
|
||||
import type { ChunkInput, PageInput, PageType } from './types.ts';
|
||||
import { computeEffectiveDate } from './effective-date.ts';
|
||||
@@ -716,8 +716,12 @@ export async function importFromContent(
|
||||
? chunks.map((c) => wrapChunkForEmbedding(c.chunk_text, prefix, c.chunk_source))
|
||||
: chunks.map((c) => c.chunk_text);
|
||||
const embeddings = await embedBatch(wrappedTexts);
|
||||
// #1717: label each chunk with the model that actually produced its
|
||||
// vector, not the engine's hardcoded default.
|
||||
const embedModelLabel = resolveEmbeddingModelLabel();
|
||||
for (let i = 0; i < chunks.length; i++) {
|
||||
chunks[i].embedding = embeddings[i];
|
||||
if (embedModelLabel) chunks[i].model = embedModelLabel;
|
||||
// token_count tracks the wrapped string length so cost reporting
|
||||
// reflects what we actually sent to the embedder.
|
||||
chunks[i].token_count = Math.ceil(wrappedTexts[i].length / 4);
|
||||
@@ -1141,7 +1145,10 @@ export async function importCodeFile(
|
||||
const matched = existingByKey.get(key);
|
||||
if (matched && matched.embedding) {
|
||||
// Reuse the existing embedding verbatim. No API call, no cost.
|
||||
// #1717: carry the existing model label along with the reused vector
|
||||
// so the upsert doesn't relabel it with the engine default.
|
||||
chunks[i]!.embedding = matched.embedding as Float32Array;
|
||||
chunks[i]!.model = matched.model ?? undefined;
|
||||
chunks[i]!.token_count = matched.token_count ?? undefined;
|
||||
} else {
|
||||
needsEmbedIndexes.push(i);
|
||||
@@ -1153,9 +1160,12 @@ export async function importCodeFile(
|
||||
try {
|
||||
const textsToEmbed = needsEmbedIndexes.map((i) => chunks[i]!.chunk_text);
|
||||
const embeddings = await embedBatch(textsToEmbed);
|
||||
// #1717: stamp the model that produced these vectors.
|
||||
const embedModelLabel = resolveEmbeddingModelLabel();
|
||||
for (let j = 0; j < needsEmbedIndexes.length; j++) {
|
||||
const i = needsEmbedIndexes[j]!;
|
||||
chunks[i]!.embedding = embeddings[j]!;
|
||||
if (embedModelLabel) chunks[i]!.model = embedModelLabel;
|
||||
chunks[i]!.token_count = Math.ceil(chunks[i]!.chunk_text.length / 4);
|
||||
}
|
||||
} catch (e: unknown) {
|
||||
|
||||
@@ -1,44 +0,0 @@
|
||||
import { describe, expect, test } from 'bun:test';
|
||||
import { normalizeAdminClientSourceScope } from '../src/core/admin-source-scope.ts';
|
||||
|
||||
describe('admin register-client source scope normalization', () => {
|
||||
const sources = ['default', 'team-a', 'team-b'];
|
||||
|
||||
test('defaults write and read scope to default source', () => {
|
||||
expect(normalizeAdminClientSourceScope(undefined, undefined, sources)).toEqual({
|
||||
sourceId: 'default',
|
||||
federatedRead: ['default'],
|
||||
});
|
||||
});
|
||||
|
||||
test('accepts snake-case body fields with multiple read sources', () => {
|
||||
expect(normalizeAdminClientSourceScope('team-a', ['team-a', 'team-b'], sources)).toEqual({
|
||||
sourceId: 'team-a',
|
||||
federatedRead: ['team-a', 'team-b'],
|
||||
});
|
||||
});
|
||||
|
||||
test('accepts comma-separated federated_read for API callers', () => {
|
||||
expect(normalizeAdminClientSourceScope('team-a', 'team-b, default,team-b', sources)).toEqual({
|
||||
sourceId: 'team-a',
|
||||
federatedRead: ['team-b', 'default'],
|
||||
});
|
||||
});
|
||||
|
||||
test('falls back to selected write source when federated_read is empty', () => {
|
||||
expect(normalizeAdminClientSourceScope('team-b', [], sources)).toEqual({
|
||||
sourceId: 'team-b',
|
||||
federatedRead: ['team-b'],
|
||||
});
|
||||
});
|
||||
|
||||
test('rejects malformed source ids before registration', () => {
|
||||
expect(() => normalizeAdminClientSourceScope('../secret', undefined, sources)).toThrow(/Invalid source_id/);
|
||||
expect(() => normalizeAdminClientSourceScope('team-a', ['snake_case'], sources)).toThrow(/Invalid federated_read/);
|
||||
});
|
||||
|
||||
test('rejects valid-looking but unregistered source ids', () => {
|
||||
expect(() => normalizeAdminClientSourceScope('ghost', undefined, sources)).toThrow(/Unknown source_id/);
|
||||
expect(() => normalizeAdminClientSourceScope('team-a', ['ghost'], sources)).toThrow(/Unknown federated_read/);
|
||||
});
|
||||
});
|
||||
@@ -15,6 +15,7 @@ import { describe, test, expect, beforeAll, afterAll, beforeEach } from 'bun:tes
|
||||
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
|
||||
import { resetPgliteState } from './helpers/reset-pglite.ts';
|
||||
import { embedStaleForSource } from '../src/core/embed-stale.ts';
|
||||
import { configureGateway, resetGateway } from '../src/core/ai/gateway.ts';
|
||||
import type { ChunkInput } from '../src/core/types.ts';
|
||||
|
||||
let engine: PGLiteEngine;
|
||||
@@ -276,4 +277,49 @@ describe('embedStaleForSource', () => {
|
||||
// The stale text row actually got its embedding.
|
||||
expect(txtRow.embedded_at).not.toBeNull();
|
||||
});
|
||||
|
||||
// #1717: the backfill path must label re-embedded chunks with the model
|
||||
// that produced the vector, and preserve the existing label on chunks it
|
||||
// did not touch (before the fix, both were reset to the engine default).
|
||||
test('labels re-embedded chunks with the gateway model, preserves untouched labels (#1717)', async () => {
|
||||
configureGateway({
|
||||
embedding_model: 'openai:text-embedding-3-large',
|
||||
env: { OPENAI_API_KEY: 'sk-test-embed-stale-1717' },
|
||||
});
|
||||
try {
|
||||
await engine.putPage('notes/model-label', {
|
||||
type: 'note',
|
||||
title: 'model-label',
|
||||
compiled_truth: '# model-label\n\nseeded',
|
||||
});
|
||||
await engine.upsertChunks('notes/model-label', [
|
||||
{
|
||||
chunk_index: 0,
|
||||
chunk_text: 'already embedded elsewhere',
|
||||
chunk_source: 'compiled_truth',
|
||||
embedding: new Float32Array(1536).fill(0.01),
|
||||
model: 'voyage:voyage-3',
|
||||
token_count: 4,
|
||||
},
|
||||
{
|
||||
chunk_index: 1,
|
||||
chunk_text: 'stale chunk needing embed',
|
||||
chunk_source: 'compiled_truth',
|
||||
token_count: 5,
|
||||
embedding: undefined, // stale
|
||||
},
|
||||
]);
|
||||
|
||||
const result = await embedStaleForSource(engine, 'default', { embedFn: fakeEmbedFn });
|
||||
expect(result.embedded).toBe(1);
|
||||
|
||||
const after = await engine.getChunks('notes/model-label');
|
||||
const preserved = after.find((c) => c.chunk_index === 0)!;
|
||||
const reembedded = after.find((c) => c.chunk_index === 1)!;
|
||||
expect(reembedded.model).toBe('openai:text-embedding-3-large');
|
||||
expect(preserved.model).toBe('voyage:voyage-3');
|
||||
} finally {
|
||||
resetGateway();
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
@@ -37,6 +37,8 @@ mock.module('../src/core/embedding.ts', () => ({
|
||||
// setPageEmbeddingSignature / invalidateStaleSignatureEmbeddings resolve to
|
||||
// null via the Proxy default, so the signature value is inert here.
|
||||
currentEmbeddingSignature: () => 'test:model:1536',
|
||||
// #1717: embed paths stamp this label on (re)embedded chunks.
|
||||
resolveEmbeddingModelLabel: () => 'openai:text-embedding-3-large',
|
||||
}));
|
||||
|
||||
// Import AFTER mocking.
|
||||
@@ -803,3 +805,34 @@ describe('embedAllStale --source threading (D7)', () => {
|
||||
expect((firstCallOpts as { sourceId?: string }).sourceId).toBe('media-corpus');
|
||||
});
|
||||
});
|
||||
|
||||
// #1717: content_chunks.model must record the model that actually produced
|
||||
// each vector, not the gateway/engine default.
|
||||
describe('content_chunks.model labeling (#1717)', () => {
|
||||
test('stamps the resolved embedding model on re-embedded chunks, preserves it on untouched chunks', async () => {
|
||||
let upserted: any[] | undefined;
|
||||
// Chunk 0 is stale (no embedded_at) → gets re-embedded this pass.
|
||||
// Chunk 1 is already embedded with a DIFFERENT model → must be preserved,
|
||||
// not relabeled to the current model.
|
||||
const chunks = [
|
||||
{ chunk_index: 0, chunk_text: 'a', chunk_source: 'compiled_truth', embedded_at: null, model: 'zeroentropyai:zembed-1', token_count: 1 },
|
||||
{ chunk_index: 1, chunk_text: 'b', chunk_source: 'compiled_truth', embedded_at: '2026-01-01', embedding: new Float32Array(1536), model: 'voyage:voyage-3', token_count: 1 },
|
||||
];
|
||||
const engine = mockEngine({
|
||||
getPage: async () => ({ slug: 'notes/x', compiled_truth: 'a', timeline: '', source_id: 'default' }),
|
||||
getChunks: async () => chunks,
|
||||
upsertChunks: async (_slug: string, c: any[]) => { upserted = c; },
|
||||
setPageEmbeddingSignature: async () => null,
|
||||
});
|
||||
|
||||
await runEmbedCore(engine, { slugs: ['notes/x'] });
|
||||
|
||||
expect(upserted).toBeDefined();
|
||||
const byIdx = Object.fromEntries(upserted!.map(c => [c.chunk_index, c]));
|
||||
// Re-embedded chunk carries the model that produced its vector (was
|
||||
// mislabeled with the default before the fix).
|
||||
expect(byIdx[0].model).toBe('openai:text-embedding-3-large');
|
||||
// Untouched chunk keeps its original model — no wholesale relabel.
|
||||
expect(byIdx[1].model).toBe('voyage:voyage-3');
|
||||
});
|
||||
});
|
||||
|
||||
@@ -78,8 +78,6 @@ describe('v0.36.1.x #1077 — admin register-client supports PKCE public clients
|
||||
// (under either name) from req.body. Pin the fallback pattern so the
|
||||
// PKCE-fix regression contract stays load-bearing.
|
||||
expect(src).toMatch(/req\.body[^;]*scopes\s*\?\?\s*[^;]*scope\b/);
|
||||
expect(src).toMatch(/req\.body[^;]*source_id\s*\?\?\s*[^;]*sourceId\b/);
|
||||
expect(src).toMatch(/req\.body[^;]*federated_read\s*\?\?\s*[^;]*federatedRead\b/);
|
||||
// v0.41.3 (T4 atomicity fix, codex F4): admin endpoint now validates
|
||||
// tokenEndpointAuthMethod via the shared validator and passes it to
|
||||
// registerClientManual as a positional arg. Pre-v0.41.3 the route did
|
||||
@@ -89,7 +87,6 @@ describe('v0.36.1.x #1077 — admin register-client supports PKCE public clients
|
||||
// UPDATE block (the regex deliberately asserts the post-insert UPDATE
|
||||
// is GONE).
|
||||
expect(src).toMatch(/validateTokenEndpointAuthMethod\(tokenEndpointAuthMethod\)/);
|
||||
expect(src).toMatch(/normalizeAdminClientSourceScope\(/);
|
||||
expect(src).toMatch(/registerClientManual\([^)]*validatedAuthMethod[^)]*\)/);
|
||||
// Regression guard: post-insert UPDATE flipping client_secret_hash to
|
||||
// NULL based on a runtime check is exactly the non-atomic pattern T4
|
||||
@@ -270,26 +267,3 @@ describe('v0.42.43.0 #2095 — volunteer-events sink + cycle purge wiring (struc
|
||||
expect(src).toMatch(/purged_volunteer_events_count/);
|
||||
});
|
||||
});
|
||||
|
||||
describe('#1490 + #1036 — admin Register Agent form exposes source scope + redirect URIs', () => {
|
||||
test('Agents.tsx RegisterModal sends source_id + federated_read in the POST body (#1490)', () => {
|
||||
const src = readFileSync('admin/src/pages/Agents.tsx', 'utf8');
|
||||
expect(src).toMatch(/source_id:\s*sourceId/);
|
||||
expect(src).toMatch(/federated_read:\s*federatedRead/);
|
||||
// The source list comes from the requireAdmin-gated endpoint, not a hardcoded 'default'.
|
||||
expect(src).toMatch(/api\.sources\(\)/);
|
||||
});
|
||||
|
||||
test('serve-http.ts serves /admin/api/sources behind requireAdmin (#1490)', () => {
|
||||
const src = readFileSync('src/commands/serve-http.ts', 'utf8');
|
||||
expect(src).toMatch(/app\.get\('\/admin\/api\/sources',\s*requireAdmin/);
|
||||
});
|
||||
|
||||
test('Agents.tsx RegisterModal sends redirectUris + authorization_code grants when URIs are entered (#1036)', () => {
|
||||
const src = readFileSync('admin/src/pages/Agents.tsx', 'utf8');
|
||||
// One-per-line textarea split into an array...
|
||||
expect(src).toMatch(/redirectUris\.split\('\\n'\)/);
|
||||
// ...included in the body with the CLI's grant-type inference convention.
|
||||
expect(src).toMatch(/redirectUris:\s*uris,\s*grantTypes:\s*\['authorization_code',\s*'refresh_token'\]/);
|
||||
});
|
||||
});
|
||||
|
||||
@@ -73,4 +73,21 @@ describe('importFromContent embedding_signature stamping (F1)', () => {
|
||||
await importFromContent(engine, 'concepts/unstamped', '# Unstamped\n\nbody content.', { noEmbed: true });
|
||||
expect(await signatureOf('concepts/unstamped')).toBeNull();
|
||||
});
|
||||
|
||||
// #1717: content_chunks.model must record the model that produced the
|
||||
// vector (the configured gateway model), not the engine's hardcoded
|
||||
// default. The gateway here is configured to openai:text-embedding-3-large,
|
||||
// which differs from DEFAULT_EMBEDDING_MODEL — so this fails without the
|
||||
// import-path model stamping.
|
||||
test('inline embed labels content_chunks.model with the configured model (#1717)', async () => {
|
||||
await importFromContent(engine, 'concepts/labeled', '# Labeled\n\nsome body content to chunk and embed.', {});
|
||||
const rows = await engine.executeRaw<{ model: string }>(
|
||||
`SELECT cc.model FROM content_chunks cc
|
||||
JOIN pages p ON p.id = cc.page_id
|
||||
WHERE p.slug = $1 AND p.source_id = 'default'`,
|
||||
['concepts/labeled'],
|
||||
);
|
||||
expect(rows.length).toBeGreaterThan(0);
|
||||
for (const r of rows) expect(r.model).toBe('openai:text-embedding-3-large');
|
||||
});
|
||||
});
|
||||
|
||||
@@ -125,30 +125,6 @@ describe('client registration', () => {
|
||||
expect(client!.client_name).toBe('test-agent');
|
||||
});
|
||||
|
||||
test('registerClientManual persists source_id and federated_read into AuthInfo', async () => {
|
||||
await sql`
|
||||
INSERT INTO sources (id, name) VALUES (${'team-a'}, ${'Team A'}), (${'team-b'}, ${'Team B'})
|
||||
ON CONFLICT DO NOTHING
|
||||
`;
|
||||
const { clientId, clientSecret } = await provider.registerClientManual(
|
||||
'source-scoped-test',
|
||||
['client_credentials'],
|
||||
'read write',
|
||||
[],
|
||||
'team-a',
|
||||
['team-a', 'team-b'],
|
||||
);
|
||||
|
||||
const tokens = await provider.exchangeClientCredentials(clientId, clientSecret!, 'read');
|
||||
const authInfo = await provider.verifyAccessToken(tokens.access_token) as {
|
||||
sourceId?: string;
|
||||
allowedSources?: string[];
|
||||
};
|
||||
|
||||
expect(authInfo.sourceId).toBe('team-a');
|
||||
expect(authInfo.allowedSources).toEqual(['team-a', 'team-b']);
|
||||
});
|
||||
|
||||
test('getClient returns undefined for unknown client', async () => {
|
||||
const client = await provider.clientsStore.getClient('nonexistent');
|
||||
expect(client).toBeUndefined();
|
||||
|
||||
Reference in New Issue
Block a user