c2ca90c255
<img width="948" height="593" alt="image" src="https://github.com/user-attachments/assets/d990fa98-3cfd-469d-ab7f-0b2d4ccf3afc" /> <img width="1361" height="802" alt="image" src="https://github.com/user-attachments/assets/1091f598-49f3-4c16-92ea-1e1c200181e2" /> ## Add `runAgent()` to the Logic Function SDK Lets an app's logic function run one of its own AI agents server-side and get the result back synchronously — reusing the existing agent executor instead of a new bespoke transport. ### Backend - New **`runAgent` GraphQL mutation** (metadata schema) in `ai-agent-execution`, wrapping the existing `AgentAsyncExecutorService.executeAgent`. Scopes the agent lookup to the calling application and runs it under an application auth context. - New `@AuthApplication()` param decorator (mirrors `@AuthWorkspace()`) — first GraphQL resolver authenticated by an **application access token**. - Guarded by `WorkspaceAuthGuard` + `SettingsPermissionGuard(PermissionFlagType.AI)`: the app's role must grant the `AI` permission flag. ### SDK - `runAgent({ agentUniversalIdentifier, prompt })` posts the mutation to `/metadata` with the app token via a new runtime GraphQL transport. Returns `{ result, hasNoMoreAvailableCredits }`. - Refactored the connections helpers onto a shared `postAppEndpoint` util (removes duplicated transport logic). ### Frontend - App install permission modal now shows an explicit consent line — _"Run AI agents and bill AI credits to your workspace"_ — when the app's role requests the `AI` flag. ### Docs - Documented `runAgent` and its `AI` permission-flag requirement in _Skills & Agents_. - Fixed outdated role-permission examples in _Roles & Permissions_ (`permissionFlags` → `permissionFlagUniversalIdentifiers`, `PermissionFlag` → `SystemPermissionFlag`). ### Test plan - [x] SDK unit tests (`run-agent.spec.ts`) — request shape, GraphQL/HTTP error handling, missing env vars - [x] `twenty-server`, `twenty-front`, `twenty-shared` typecheck + lint - [ ] Manual: install an app granting the `AI` flag, call `runAgent()` from a logic function, confirm the agent runs and credits are billed --------- Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
150 lines
6.0 KiB
Plaintext
150 lines
6.0 KiB
Plaintext
---
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title: Skills & Agents
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description: Define AI skills and agents for your app.
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icon: "robot"
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---
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<Warning>
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Skills and agents are currently in alpha. The feature works but is still evolving.
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</Warning>
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Apps can define AI capabilities that live inside the workspace — reusable skill instructions and agents with custom system prompts.
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<AccordionGroup>
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<Accordion title="defineSkill" description="Define AI agent skills">
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Skills define reusable instructions and capabilities that AI agents can use within your workspace. Use `defineSkill()` to define skills with built-in validation:
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```ts src/skills/example-skill.ts
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import { defineSkill } from 'twenty-sdk/define';
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export default defineSkill({
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universalIdentifier: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
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name: 'sales-outreach',
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label: 'Sales Outreach',
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description: 'Guides the AI agent through a structured sales outreach process',
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icon: 'IconBrain',
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content: `You are a sales outreach assistant. When reaching out to a prospect:
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1. Research the company and recent news
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2. Identify the prospect's role and likely pain points
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3. Draft a personalized message referencing specific details
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4. Keep the tone professional but conversational`,
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});
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```
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Key points:
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- `name` is a unique identifier string for the skill (kebab-case recommended).
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- `label` is the human-readable display name shown in the UI.
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- `content` contains the skill instructions — this is the text the AI agent uses.
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- `icon` (optional) sets the icon displayed in the UI.
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- `description` (optional) provides additional context about the skill's purpose.
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</Accordion>
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<Accordion title="defineAgent" description="Define AI agents with custom prompts">
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Agents are AI assistants that live inside your workspace. Use `defineAgent()` to create agents with a custom system prompt:
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```ts src/agents/example-agent.ts
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import { defineAgent } from 'twenty-sdk/define';
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export default defineAgent({
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universalIdentifier: 'b3c4d5e6-f7a8-9012-bcde-f34567890123',
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name: 'sales-assistant',
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label: 'Sales Assistant',
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description: 'Helps the sales team draft outreach emails and research prospects',
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icon: 'IconRobot',
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prompt: 'You are a helpful sales assistant. Help users with their questions and tasks.',
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});
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```
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Key points:
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- `name` is the unique identifier string for the agent (kebab-case recommended).
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- `label` is the display name shown in the UI.
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- `prompt` is the system prompt that defines the agent's behavior.
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- `description` (optional) provides context about what the agent does.
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- `icon` (optional) sets the icon displayed in the UI.
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- `modelId` (optional) overrides the default AI model used by the agent.
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- `responseFormat` (optional) controls the shape of the agent's output. Defaults to `{ type: 'text' }` for free-form text. Use `{ type: 'json', schema }` to force structured JSON output.
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By default an agent returns free-form text. To get structured output, set `responseFormat` to `{ type: 'json' }` and provide a `schema`:
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```ts src/agents/structured-agent.ts
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import { defineAgent } from 'twenty-sdk/define';
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export default defineAgent({
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universalIdentifier: 'c4d5e6f7-a8b9-0123-cdef-456789012345',
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name: 'lead-scorer',
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label: 'Lead Scorer',
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prompt: 'Score the lead and explain your reasoning.',
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responseFormat: {
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type: 'json',
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schema: {
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type: 'object',
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properties: {
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score: { type: 'number', description: 'Lead score from 0 to 100' },
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summary: { type: 'string', description: 'Short reasoning for the score' },
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},
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required: ['score', 'summary'],
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additionalProperties: false,
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},
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},
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});
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```
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Schema notes:
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- The schema is a flat object: each property's `type` must be a primitive (`string`, `number`, or `boolean`). Nested objects and arrays are not supported.
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- `description` (optional) on each property guides the model on what to put there.
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- `required` (optional) lists the properties the model must always return.
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- `additionalProperties: false` (optional) forbids any property not declared in `properties`.
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</Accordion>
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<Accordion title="runAgent" description="Run an agent from a logic function">
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`runAgent()` lets a logic function run one of your app's agents (with its
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skills and tools). Identify the agent by the `universalIdentifier` you passed
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to `defineAgent()`:
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```ts src/logic-functions/run-enricher.ts
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import { runAgent } from 'twenty-sdk/logic-function';
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const { result, error, success } = await runAgent({
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agentUniversalIdentifier: 'b3c4d5e6-f7a8-9012-bcde-f34567890123',
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prompt: 'Enrich House Ad <recordId>: fill empty fields from its listing URL.',
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});
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```
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Key points:
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- The agent runs **synchronously** and can read/update records itself via its
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own tools — `runAgent()` resolves once the run completes.
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- An app can only run its own agents.
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- The app's [default role](/developers/extend/apps/config/roles) must grant the
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`AI` permission flag — add `SystemPermissionFlag.AI` to its
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`permissionFlagUniversalIdentifiers` (or set `canAccessAllTools: true`).
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Without it, `runAgent()` fails with a permission error.
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- Set a generous `timeoutSeconds` on the logic function — agent runs can take
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several seconds.
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- `success` is `true` and `result` is non-null when the run completes; on
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failure `success` is `false`, `result` is `null`, and `error` holds the
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reason (for example, when the workspace ran out of AI credits mid-run).
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```ts src/roles/default-role.ts
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import { defineApplicationRole, SystemPermissionFlag } from 'twenty-sdk/define';
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export default defineApplicationRole({
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universalIdentifier: 'b648f87b-1d26-4961-b974-0908fd991061',
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label: 'Default function role',
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// runAgent() requires the AI permission flag on the app's default role.
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permissionFlagUniversalIdentifiers: [SystemPermissionFlag.AI],
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});
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```
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<Warning>
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**Avoid loops:** if you call `runAgent()` from a `*.updated` database-event
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trigger and the agent updates the same record, scope the trigger with
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`updatedFields` to a field the agent never writes (e.g. the source URL), or
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guard on whether any target field is still empty before calling `runAgent()`.
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</Warning>
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</Accordion>
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</AccordionGroup>
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