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@praxisui/ai
Advanced tools
This project was generated using [Angular CLI](https://github.com/angular/angular-cli) version 20.3.0.
This project was generated using Angular CLI version 20.3.0.
Angular CLI includes powerful code scaffolding tools. To generate a new component, run:
ng generate component component-name
For a complete list of available schematics (such as components, directives, or pipes), run:
ng generate --help
To build the library, run:
ng build praxis-ai
This command will compile your project, and the build artifacts will be placed in the dist/ directory.
Once the project is built, you can publish your library by following these steps:
Navigate to the dist directory:
cd dist/praxis-ai
Run the npm publish command to publish your library to the npm registry:
npm publish
To execute unit tests with the Karma test runner, use the following command:
ng test
For end-to-end (e2e) testing, run:
ng e2e
Angular CLI does not come with an end-to-end testing framework by default. You can choose one that suits your needs.
For more information on using the Angular CLI, including detailed command references, visit the Angular CLI Overview and Command Reference page.
The UI uses the backend orchestration endpoints instead of calling providers directly.
GET /api/praxis/config/ai/providers/catalogPOST /api/praxis/config/ai/providers/modelsPOST /api/praxis/config/ai/providers/testmodels/test accept { provider, apiKey?, model? }. When apiKey is omitted, the backend uses the encrypted key stored in global config.
POST /api/praxis/config/ai/suggestionsExample payload:
{
"componentId": "praxis-table",
"componentType": "table",
"currentState": {
"config": { "columns": [] },
"capabilities": [],
"runtimeState": { "rowsTotal": 120 }
},
"dataProfile": { "rowCount": 120 },
"maxSuggestions": 5,
"locale": "pt-BR"
}
POST /api/praxis/config/ai/patchPayload:
{
"componentId": "praxis-table",
"componentType": "table",
"userPrompt": "Habilitar paginacao com 10 itens por pagina",
"currentState": { "columns": [] },
"dataProfile": { "rowCount": 120, "columns": { "status": { "inferredType": "string", "cardinality": 3 } } },
"schemaFields": [{ "name": "status", "type": "string", "options": ["Ativo", "Inativo"] }],
"runtimeState": { "rowsTotal": 120, "pageIndex": 0 }
}
Notes:
currentState must be the config root (not wrapped under config).{ type: "clarification", message, options }.The assistant stores a lightweight local history in the browser using localStorage. It is scoped by
{ tenantId, env, userId } derived from the same headers used by the API (X-Tenant-ID, X-Env, X-User-ID).
Storage keys:
praxis.ai.history.index:{tenantId}:{env}:{userId}praxis.ai.history.session:{sessionId}Retention:
The assistant supports a risk confirmation policy resolved per tenant from global config:
ai.riskPolicy = "strict" (default): medium/high risk requires explicit confirmation (fail-safe).ai.riskPolicy = "standard": explicit backend requiresConfirmation=false is respected.You can also override this at component level using @Input() riskPolicy.
For enterprise safety, manual patch reapply flows (JSON/path editor) are also confirmation-gated and follow the same resolved risk policy.
The manual patch editor UI is disabled by default and can be enabled explicitly with
@Input() allowManualPatchEdit = true.
Pedido, Proposta, Impacto, Aplicação).FAQs
This project was generated using [Angular CLI](https://github.com/angular/angular-cli) version 20.3.0.
We found that @praxisui/ai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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