Make /ai and /assistant operate as the platform admin's assistant
against arcadia-app's API:
- Add `arcadia-knowledge.ts` — domain primer (multi-tenant Phoenix
backend, tenant lifecycle, platform_admins identity, etc.) baked into
every system prompt.
- Add `admin-tools.ts` — curated tool registry exposing `list_tenants`
and `get_tenant`, callable via OpenAI-native function calling. Tools
hit arcadia through `useArcadiaClient()` and inherit the operator's
JWT + tenant header. `runLLMToolCalls()` returns `tool` role messages
ready to push back into history.
- Add `admin-context.ts` — runtime registry pages publish to so the
assistant can answer factual questions about live UI state without
scraping the DOM. Tenants page registers its summary on mount.
- Replace generic Vibespace personas (Atlas/Forge/Inkwell/Pilot/Cursor)
with arcadia-flavoured ones: Operator, Auditor, Triage, Analyst,
UI Operator. Auto-migrate stored agents from the legacy set.
- /assistant: build admin preface (role + primer + persona + ctx) and
pass it as the `useChat` system at construction. Pass `tools` on every
`send()`. Auto-loop reads `toolCalls` off the streaming assistant
message and uses `continueChat()` to push tool results.
- /ai: same wiring (this is the canonical admin chat surface; the user
prefers its look).
- MessageBody renders tool-result cards (role: "tool") and a "Called X"
pill on assistant messages with toolCalls. Strips Qwen-style
`<tool_call>` XML from prose when the tags were converted to
structured calls.
- Extend ThreadMessage with the `tool` role + tool-call metadata so
conversations round-trip through localStorage.
- Tenants page: row actions get `data-action="tenant-<slug>-{suspend,
activate,deactivate}"` (via lib-table-ui's new dataAction prop);
registers tenant summary into admin-context.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
162 lines
5.3 KiB
TypeScript
162 lines
5.3 KiB
TypeScript
// Curated tool surface the assistant can call. The LLM emits a fenced
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// ```tool block with one JSON object per line; we parse, execute via
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// arcadia-client, and feed results back as the next user turn.
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//
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// Each tool is a named function with documented args. The LLM never sees
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// raw HTTP — only the menu below.
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import type { ArcadiaClient } from "@crema/arcadia-client"
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import type { Tool, ToolCall as LLMToolCall } from "@crema/llm-ui"
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import { getTenant, listTenants, type Tenant } from "~/lib/arcadia/tenants"
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export type ToolCall = {
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name: string
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args: Record<string, unknown>
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}
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export type ToolResult = {
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name: string
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args: Record<string, unknown>
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ok: boolean
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data?: unknown
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error?: string
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}
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type ToolDef = {
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name: string
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description: string
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parameters: Record<string, unknown> // JSON Schema for OpenAI tool calling
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isWrite: boolean
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run: (args: Record<string, unknown>, ctx: ToolCtx) => Promise<unknown>
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}
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type ToolCtx = { arcadia: ArcadiaClient }
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const TOOLS: ToolDef[] = [
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{
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name: "list_tenants",
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description:
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"List every tenant on this arcadia deployment. Returns id, slug, name, status, plan, inserted_at. Call this for any question about tenant counts, statuses, or which tenants exist.",
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parameters: {
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type: "object",
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properties: {},
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additionalProperties: false,
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},
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isWrite: false,
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run: async (_args, { arcadia }) => {
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const tenants = await listTenants(arcadia)
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return tenants.map(summarize)
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},
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},
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{
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name: "get_tenant",
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description:
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"Fetch a single tenant by slug (preferred) or id. Returns the tenant summary or null if not found.",
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parameters: {
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type: "object",
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properties: {
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slug: { type: "string", description: "The tenant's slug (e.g. 'acme', 'platform-admin')." },
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id: { type: "string", description: "The tenant's UUID. Use only when the slug is unknown." },
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},
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additionalProperties: false,
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},
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isWrite: false,
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run: async (args, { arcadia }) => {
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const slug = typeof args.slug === "string" ? args.slug : null
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const id = typeof args.id === "string" ? args.id : null
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if (!slug && !id) throw new Error("get_tenant requires { slug } or { id }")
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if (id) {
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try {
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return summarize(await getTenant(arcadia, id))
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} catch {
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return null
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}
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}
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const tenants = await listTenants(arcadia)
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const found = tenants.find((t) => t.slug === slug)
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return found ? summarize(found) : null
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},
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},
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]
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/** OpenAI-format tool list to pass into ChatRequest.tools. */
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export function getOpenAITools(): Tool[] {
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return TOOLS.map((t) => ({
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name: t.name,
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description: t.description,
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parameters: t.parameters,
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}))
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}
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function summarize(t: Tenant) {
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return {
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id: t.id,
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slug: t.slug,
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name: t.name,
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status: t.status,
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plan: t.plan?.name ?? null,
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inserted_at: t.inserted_at,
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}
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}
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const TOOL_BY_NAME = new Map(TOOLS.map((t) => [t.name, t]))
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function safeJson(value: unknown): string {
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try {
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const text = JSON.stringify(value, null, 2)
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if (text.length > 6000) return text.slice(0, 6000) + "\n…(truncated)"
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return text
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} catch {
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return "(unserializable)"
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}
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}
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/** Run a list of provider-native tool calls and return `tool` role messages
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* ready to push back into useChat history. */
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export async function runLLMToolCalls(
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calls: LLMToolCall[],
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ctx: ToolCtx,
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opts: { allowWrites?: boolean } = {},
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): Promise<{
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results: ToolResult[]
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toolMessages: { role: "tool"; content: string; toolCallId: string; name: string }[]
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}> {
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const results: ToolResult[] = []
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const toolMessages: { role: "tool"; content: string; toolCallId: string; name: string }[] = []
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for (const call of calls) {
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const def = TOOL_BY_NAME.get(call.name)
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let parsed: Record<string, unknown> = {}
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try {
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parsed = call.arguments ? (JSON.parse(call.arguments) as Record<string, unknown>) : {}
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} catch {
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const err = `Could not parse arguments JSON: ${call.arguments}`
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results.push({ name: call.name, args: {}, ok: false, error: err })
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toolMessages.push({ role: "tool", content: JSON.stringify({ error: err }), toolCallId: call.id, name: call.name })
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continue
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}
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if (!def) {
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const err = `Unknown tool: ${call.name}`
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results.push({ name: call.name, args: parsed, ok: false, error: err })
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toolMessages.push({ role: "tool", content: JSON.stringify({ error: err }), toolCallId: call.id, name: call.name })
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continue
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}
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if (def.isWrite && !opts.allowWrites) {
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const err = "Write tools require user confirmation."
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results.push({ name: call.name, args: parsed, ok: false, error: err })
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toolMessages.push({ role: "tool", content: JSON.stringify({ error: err }), toolCallId: call.id, name: call.name })
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continue
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}
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try {
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const data = await def.run(parsed, ctx)
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results.push({ name: call.name, args: parsed, ok: true, data })
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toolMessages.push({ role: "tool", content: safeJson(data), toolCallId: call.id, name: call.name })
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} catch (err) {
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const msg = err instanceof Error ? err.message : String(err)
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results.push({ name: call.name, args: parsed, ok: false, error: msg })
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toolMessages.push({ role: "tool", content: JSON.stringify({ error: msg }), toolCallId: call.id, name: call.name })
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}
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}
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return { results, toolMessages }
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}
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