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Carvalho <davi@goflip.ai>","license":"MIT","homepage":"https://davidecarvalho.github.io/agora/docs/agent","keywords":["adonisjs","adonis","ai","agent","llm","tool-calling","governance","ai-sdk","durable","tanstack-intent","agora","guardrails"],"repository":{"url":"git+https://github.com/DavideCarvalho/adonis-agora-agent.git","type":"git","directory":"packages/adonis"},"description":"Governed, durable-backed AI agent (chat + tool-calling + governance) for AdonisJS — part of the Agora ecosystem.","maintainers":[{"name":"dudousxd","email":"davi_carvalho96@hotmail.com"}],"readme":"# @adonis-agora/agent\n\nGoverned, durable-backed AI agent (chat + tool-calling + governance) for **AdonisJS** — part of the\n[Agora](https://github.com/DavideCarvalho) ecosystem.\n\nThe package is two things layered on top of each other:\n\n- A **framework-agnostic agent loop** — `runAgentLoop(deps, input, hooks)` drives one model → tools →\n  model turn against a set of SPIs (model / store / quota / roles / sink / runner / governance). The\n  `hooks` seam (`step` / `awaitApproval` / `openSink` / `runAgent`) lets the same loop body run\n  in-process or as a replay-safe durable workflow (via `@adonis-agora/durable`, optional peer).\n- An **AdonisJS integration shell** — a service provider, `defineConfig`, HTTP routes (`/agent/*`,\n  `/agent/governance/*`, `/agent/attachments`), Lucid-backed stores, tool discovery from\n  `app/agent_tools`, RAG (pgvector or Qdrant retrievers, plus PageIndex-style tree navigation for\n  long documents), a governed read-only SQL tool, and a React chat hook.\n\n`read` tools auto-execute, `action` tools gate on human approval (HITL), and `agent` tools delegate\nto another named agent.\n\n## Install\n\n```sh\npnpm add @adonis-agora/agent\nnode ace configure @adonis-agora/agent\n```\n\n`configure` registers the provider, wires an Assembler `init` hook that generates the typed\n`app/agent_tools` barrel (falls back to a runtime scan if absent), publishes `config/agent.ts`, and\npublishes the migrations — the base agent tables, a pgvector RAG-chunk table, and the tree-navigation\ntables (delete whichever you don't use, e.g. the pgvector migration if you retrieve via Qdrant instead,\nor the trees migration if you don't navigate long documents; run `node ace migration:run` for the rest).\n\nOnly `ai` (or a hand-rolled `ModelProvider`) and a model factory are strictly required. Everything\nelse is an **optional peer**, imported lazily only when configured:\n\n| Peer | Needed for |\n|---|---|\n| `ai` (`^7.0.0`) | `aiSdkModel` — the Vercel AI SDK v7 adapter (`@adonis-agora/agent/ai-sdk`) |\n| `@adonisjs/lucid` (`^22.4.0`) | `stores.lucid()`, pricing, governance read-model, the data tool's `db` |\n| `@adonisjs/redis` (`^9.2.0`) | `tokenSinks.redis()` — multi-replica SSE token streaming |\n| `@adonis-agora/durable` (`^0.8.0`) | `durable: true` — replay-safe durable runs (`@adonis-agora/agent/durable`) |\n| `@adonis-agora/authz` (`^0.4.0`) | `AuthzActorResolver` / `AuthzToolAuthorizer` (`@adonis-agora/agent/authz`) |\n| `@adonis-agora/telescope` (`^0.4.0`) | the Telescope watcher extension (`@adonis-agora/agent/telescope`) |\n| `@qdrant/js-client-rest` (`^1.11.0`) | `retrievers.qdrant({...})` |\n| `node-sql-parser` (`^5.3.0`) | the governed `dataTool` (`@adonis-agora/agent/data`) |\n| `react` (`^18` / `^19`) + `@dudousxd/nestjs-agent-react` (`>=0.28`, with `@ai-sdk/react` and `ai`) | `AgentProvider` / `useAgentChat` (`@adonis-agora/agent/react`) |\n\n## Configure\n\nOnly `model` is required — pick a `store` by name (omit for the in-memory, single-process store):\n\n```ts\n// config/agent.ts\nimport { defineConfig, stores, AuthActorResolver } from '@adonis-agora/agent'\nimport { aiSdkModel } from '@adonis-agora/agent/ai-sdk'\nimport { openai } from '@ai-sdk/openai'\n\nexport default defineConfig({\n  model: () => aiSdkModel(openai('gpt-4o-mini')), // any Vercel AI SDK v7 `LanguageModel`\n  store: 'lucid',\n  stores: { lucid: stores.lucid(), memory: stores.memory() },\n  actorResolver: new AuthActorResolver(), // defaults to one that THROWS — an identity is never fabricated\n})\n```\n\nPricing (`costUsd` on each turn) and the `/agent/governance/*` read routes both default to mirroring\n`store` when it's `stores.lucid()` (same connection, table auto-created) — override with\n`pricingStore` / `governanceQueries`, or `false` to disable. `sink` defaults to the in-process token\nsink; pass `tokenSinks.redis({...})` so any pod can serve any run's SSE stream.\n\n## Use\n\n### Chat — the provider mounts the HTTP API for you\n\nThere's no controller to write: once configured, the provider itself mounts `POST /agent/chat` (starts\na run and SSE-pipes the token stream), `GET /agent/chat/:runId/stream` (re-attach), thread CRUD,\napprove/reject for HITL `action` tools, quota, and — when `governanceQueries` is set — the\n`/agent/governance/*` read routes. Every route resolves the actor itself (401 on failure); a\n`threadId` passed to `chat` must belong to the caller.\n\nDrive it from React with `@adonis-agora/agent/react` — the full headless layer (history, resume, a\nmessage queue, approvals, attachments, threads), with the session cookie and shield's CSRF token\nalready wired:\n\n```tsx\n// npm i @dudousxd/nestjs-agent-react @ai-sdk/react ai\nimport { AgentProvider, useAgentChat } from '@adonis-agora/agent/react'\n\nexport default function ChatPage() {\n  return (\n    <AgentProvider>\n      <Chat />\n    </AgentProvider>\n  )\n}\n\nfunction Chat() {\n  const { transcript, composer, queue } = useAgentChat()\n  return (\n    <form onSubmit={(e) => (e.preventDefault(), void composer.submit())}>\n      {transcript.items.map((item) => (\n        <p key={item.id}>{item.role}: {item.text}</p>\n      ))}\n      {queue.items.map((m) => <p key={m.id}>(waiting) {m.text}</p>)}\n      <input value={composer.text} onChange={(e) => composer.setText(e.target.value)} />\n      <button disabled={!composer.canSend}>Send</button>\n    </form>\n  )\n}\n```\n\nThe hooks are [`@dudousxd/nestjs-agent-react`](https://www.npmjs.com/package/@dudousxd/nestjs-agent-react)\nre-exported (an optional peer): this package speaks the same wire contract as `@dudousxd/nestjs-agent`,\nso one React client serves both. Without React, the framework-free stream client:\n\n```ts\nimport { createAgentChatClient } from '@adonis-agora/agent/client'\n\nconst client = createAgentChatClient({ basePath: '/agent' })\nconst { parts } = await client.send({ body: { message: 'hi' }, onParts: (parts) => render(parts) })\n```\n\n### Write a governed tool\n\nTools are auto-discovered from `app/agent_tools`. `ReadTool` auto-executes; `ActionTool` requires\nhuman approval before it runs:\n\n```ts\n// app/agent_tools/allocation_queue.ts\nimport { z } from 'zod'\nimport { ReadTool } from '@adonis-agora/agent'\nimport type { AiToolCtx } from '@adonis-agora/agent'\n\nexport default class AllocationQueue extends ReadTool<{}, Row[]> {\n  static tool = {\n    name: 'allocation_queue',\n    description: 'Lists pending allocation requests for the current tenant.',\n    input: z.object({}),\n    ability: 'agent.coordinator.queue.read',\n  }\n  async execute(_input: {}, ctx: AiToolCtx): Promise<Row[]> {\n    return db.from('allocations').where('tenant_ref', ctx.actor.tenantRef)\n  }\n}\n```\n\nAn `ActionTool` writes somewhere, and that write and the checkpoint recording it are two writes: a\nworker that dies between them re-runs the tool on recovery. `ctx.idempotencyKey`\n(`<runId>:<toolCallId>`) is the same for every execution of one call — pass it on as the downstream\nidempotency key (a provider's `Idempotency-Key`, a unique column, the `id` of a workflow the tool\nstarts) so the second attempt lands on the first.\n\n### Governed read-only SQL\n\n`@adonis-agora/agent/data` ships `dataTool` — a fail-closed SQL tool: it requires an explicit,\nrole-based table allowlist, rewrites in an optional per-row tenant scope (off the calling actor's\n`tenantRef`), injects a row-count `LIMIT`, and truncates oversized results before they hit the model's\ncontext. Register it as a static tool in `config/agent.ts` (`defineConfig({ tools: [dataTool({...})] })`)\nor export it from an `app/agent_tools/` module:\n\n```ts\nimport { dataTool } from '@adonis-agora/agent/data'\nimport db from '@adonisjs/lucid/services/db'\n\nexport const executeSql = dataTool({\n  db,\n  tableAccess: {\n    roleGroups: { ADMIN: ['billing'] },\n    tablesByGroup: { billing: ['orders', 'invoices'] },\n  },\n  tenant: { tenantColumn: 'tenant_ref', scopedTables: ['orders', 'invoices'] },\n  maxRows: 200,\n})\n```\n\n### Guardrails — PII, secrets, prompt injection, tool poisoning\n\n`@adonis-agora/agent/guardrails` puts detectors and a rule engine on the loop's processor seams,\nwhich `config/agent.ts` now takes as `inputProcessors` / `outputProcessors`:\n\n```ts\n// config/agent.ts\nimport { createGuardrails } from '@adonis-agora/agent/guardrails'\n\nconst guardrails = createGuardrails({\n  pii: 'redact',                 // reversible: the model sees [EMAIL_1], the reader the address\n  secrets: 'block',\n  injection: { threshold: 0.6 }, // the prompt and every tool result; default action: block\n  toolPoisoning: true,           // guardrails.screenTool, for `mcpServers[].screen`\n  rules: (ctx) => rulesForTenant(ctx.actor?.tenantRef), // more rules, resolved per scan\n  onEvent: (event) => audit(event),                     // hits carry fingerprints, never values\n})\n\nexport default defineConfig({\n  model: () => aiSdkModel(openai('gpt-4o-mini')),\n  inputProcessors: [guardrails.input],\n  outputProcessors: [guardrails.output],\n  mcpServers: [{ name: 'docs', transport: { type: 'http', url }, screen: (t) => guardrails.screenTool(t) }],\n})\n```\n\nA blocked prompt fails the run (`ProcessorFailedError` caused by a `GuardrailBlockedError`); a\nblocked tool result is withheld and the turn goes on; a blocked answer or tool call is an\n`OutputRejectedError`. `guardrails.wrapTool(name, handler)` restores placeholders into a tool's\narguments and runs the `tool_args` rules on them. The output processor declares `incremental`, so the\nanswer keeps streaming. The detectors (`detectPii` with Luhn/CPF/CNPJ/IBAN checks, `detectSecrets`,\n`scoreInjection`, `scoreToolText`) and `scan` work on their own. Same code as\n`@dudousxd/nestjs-agent-core/guardrails`, which also carries the raw OpenAI/Anthropic stream guard.\n\n### Framework-agnostic core (no AdonisJS)\n\n`runAgentLoop(deps, input, hooks)` is the shared turn body both the in-process (`InlineAgentRunner`)\nand the durable runner drive — `hooks` is what tells it which one it's in. Exercised directly (e.g. in\na test) with the in-memory doubles from `@adonis-agora/agent/testing`:\n\n```ts\nimport { runAgentLoop, ToolRegistry, DefaultRolesPolicy } from '@adonis-agora/agent'\nimport {\n  FakeModelProvider,\n  echoScript,\n  InMemoryAgentStore,\n  InMemoryTokenStreamSink,\n} from '@adonis-agora/agent/testing'\n\nconst sink = new InMemoryTokenStreamSink()\nconst { text } = await runAgentLoop(\n  {\n    model: new FakeModelProvider(echoScript('hi there')),\n    store: new InMemoryAgentStore(),\n    registry: new ToolRegistry(),\n    rolesPolicy: new DefaultRolesPolicy(),\n    day: '2026-07-21',\n    systemPrompt: 'You are a helpful assistant.',\n  },\n  { threadId: 'thread-1', actor: { id: 'user-1', roles: ['USER'] }, userText: 'hi' },\n  {\n    runId: crypto.randomUUID(),\n    openSink: () => sink.open('run-1'),\n    awaitApproval: async () => 'approve',\n    step: (_name, fn) => fn(),\n  },\n)\n```\n\n## Dashboard\n\n`node ace configure @adonis-agora/agent` also registers an embedded governance console — the\n`@adonis-agora/agent-dashboard` React SPA, bundled straight into `@adonis-agora/agent`'s own `dist/`\nat build time. **No separate install, no separate provider registration.** It mounts at\n`<path>/dashboard` (default `/agent/dashboard`) once `governanceAuthorize` is configured — every panel\nbut Quota reads the cross-actor `/agent/governance/*` routes, and those don't exist without that gate\neither, so the console refuses to mount (with a boot warning explaining why) rather than load and 404\non every panel:\n\n```ts\n// config/agent.ts\nexport default defineConfig({\n  // ...\n  governanceAuthorize: (actor) => actor.roles?.includes('ADMIN') ?? false,\n  // dashboard: { enabled: true, path: '/agent/dashboard', authorize: (actor) => actor.roles?.includes('ADMIN') ?? false },\n})\n```\n\nSee [Governance dashboard](./docs/governance/dashboard.mdx) for the full config shape.\n\n<details>\n<summary>Standalone install (still supported)</summary>\n\n`@adonis-agora/agent-dashboard` also ships as its own installable package with its own provider, for\napps that want its independent release cadence or that configured it before the embedded provider\nexisted:\n\n```sh\npnpm add @adonis-agora/agent-dashboard\nnode ace add @adonis-agora/agent-dashboard\n```\n\nIt reads the SAME `config('agent').dashboard` block. Register only ONE of the two providers — mounting\nboth at the same path throws AdonisJS's \"duplicate route\" error at boot.\n\n</details>\n\n## Diagnostics\n\nRuntime events flow through `@adonis-agora/agent/telescope`'s watcher when\n[`@adonis-agora/telescope`](https://github.com/DavideCarvalho/adonis-telescope) is installed, alongside\nthe framework-agnostic `diagnostics` event types exported from the root entry point.\n\n## Testing\n\n`@adonis-agora/agent/testing` ships `FakeModelProvider` and in-memory doubles for the store, sink,\nquota and governance SPIs, so the agent loop can be exercised deterministically without a DB, Redis,\nor a real model provider.\n\n## Links\n\n- Repo: https://github.com/DavideCarvalho/adonis-agent\n- Changelog: https://github.com/DavideCarvalho/adonis-agent/blob/master/packages/adonis/CHANGELOG.md\n- Companion package (also embedded automatically, see [Dashboard](#dashboard) above): [`@adonis-agora/agent-dashboard`](https://github.com/DavideCarvalho/adonis-agent/tree/master/packages/dashboard)\n\n## License\n\nMIT\n","readmeFilename":""}