diff --git a/apps/cockpit/scripts/capability-registry.ts b/apps/cockpit/scripts/capability-registry.ts index e5da02f6..7fad57a7 100644 --- a/apps/cockpit/scripts/capability-registry.ts +++ b/apps/cockpit/scripts/capability-registry.ts @@ -53,6 +53,7 @@ export const capabilities: readonly Capability[] = [ { id: 'ag-ui-interrupts', product: 'ag-ui', topic: 'interrupts', angularProject: 'cockpit-ag-ui-interrupts-angular', port: 4320, pythonPort: 5320, pythonDir: 'cockpit/ag-ui/interrupts/python' }, { id: 'ag-ui-streaming', product: 'ag-ui', topic: 'streaming', angularProject: 'cockpit-ag-ui-streaming-angular', port: 4321, pythonPort: 5321, pythonDir: 'cockpit/ag-ui/streaming/python' }, { id: 'ag-ui-tool-views', product: 'ag-ui', topic: 'tool-views', angularProject: 'cockpit-ag-ui-tool-views-angular', port: 4322, pythonPort: 5322, pythonDir: 'cockpit/ag-ui/tool-views/python' }, + { id: 'ag-ui-json-render', product: 'ag-ui', topic: 'json-render', angularProject: 'cockpit-ag-ui-json-render-angular', port: 4323, pythonPort: 5323, pythonDir: 'cockpit/ag-ui/json-render/python' }, ] as const; export function findCapability(id: string): Capability | undefined { diff --git a/apps/cockpit/src/lib/route-resolution.ts b/apps/cockpit/src/lib/route-resolution.ts index 8972d387..98fc6724 100644 --- a/apps/cockpit/src/lib/route-resolution.ts +++ b/apps/cockpit/src/lib/route-resolution.ts @@ -14,6 +14,7 @@ import { langgraphDeploymentRuntimePythonModule } from '../../../../cockpit/lang import { agUiInterruptsPythonModule } from '../../../../cockpit/ag-ui/interrupts/python/src/index'; import { agUiStreamingPythonModule } from '../../../../cockpit/ag-ui/streaming/python/src/index'; import { agUiToolViewsPythonModule } from '../../../../cockpit/ag-ui/tool-views/python/src/index'; +import { agUiJsonRenderPythonModule } from '../../../../cockpit/ag-ui/json-render/python/src/index'; import { deepAgentsMemoryPythonModule } from '../../../../cockpit/deep-agents/memory/python/src/index'; import { deepAgentsPlanningPythonModule } from '../../../../cockpit/deep-agents/planning/python/src/index'; import { deepAgentsFilesystemPythonModule } from '../../../../cockpit/deep-agents/filesystem/python/src/index'; @@ -87,6 +88,7 @@ const capabilityModules = [ agUiInterruptsPythonModule, agUiStreamingPythonModule, agUiToolViewsPythonModule, + agUiJsonRenderPythonModule, deepAgentsMemoryPythonModule, deepAgentsPlanningPythonModule, deepAgentsFilesystemPythonModule, diff --git a/cockpit/ag-ui/json-render/angular/e2e/fixtures/json-render.json b/cockpit/ag-ui/json-render/angular/e2e/fixtures/json-render.json new file mode 100644 index 00000000..85d43fc4 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/e2e/fixtures/json-render.json @@ -0,0 +1,47 @@ +{ + "fixtures": [ + { + "match": { + "userMessage": "Show me a dashboard of airline operations.", + "hasToolResult": true + }, + "response": { + "content": "Here's your airline operations dashboard with live KPI data." + } + }, + { + "match": { + "userMessage": "Show me a dashboard of airline operations." + }, + "response": { + "toolCalls": [ + { + "name": "render_spec", + "arguments": "{\"elements\":{\"root\":{\"type\":\"dashboard_grid\",\"children\":[\"stats_row\",\"charts_row\",\"table_section\"]},\"stats_row\":{\"type\":\"container\",\"props\":{\"direction\":\"row\"},\"children\":[\"on_time_card\",\"flights_card\",\"delay_card\",\"load_card\"]},\"on_time_card\":{\"type\":\"stat_card\",\"props\":{\"label\":\"On-time %\",\"value\":{\"$state\":\"/on_time/value\"},\"delta\":{\"$state\":\"/on_time/delta\"}}},\"flights_card\":{\"type\":\"stat_card\",\"props\":{\"label\":\"Flights Today\",\"value\":{\"$state\":\"/flights_today/value\"},\"delta\":{\"$state\":\"/flights_today/delta\"}}},\"delay_card\":{\"type\":\"stat_card\",\"props\":{\"label\":\"Avg Delay (min)\",\"value\":{\"$state\":\"/avg_delay/value\"},\"delta\":{\"$state\":\"/avg_delay/delta\"}}},\"load_card\":{\"type\":\"stat_card\",\"props\":{\"label\":\"Load Factor\",\"value\":{\"$state\":\"/load_factor/value\"},\"delta\":{\"$state\":\"/load_factor/delta\"}}},\"charts_row\":{\"type\":\"container\",\"props\":{\"direction\":\"row\"},\"children\":[\"trend_chart\",\"airline_chart\"]},\"trend_chart\":{\"type\":\"line_chart\",\"props\":{\"title\":\"On-time % Trend\",\"data\":{\"$state\":\"/on_time_trend\"},\"xKey\":\"month\",\"yKey\":\"on_time_pct\"}},\"airline_chart\":{\"type\":\"bar_chart\",\"props\":{\"title\":\"Flights by Airline (Daily)\",\"data\":{\"$state\":\"/flights_by_airline\"},\"labelKey\":\"airline\",\"valueKey\":\"count\"}},\"table_section\":{\"type\":\"data_grid\",\"props\":{\"title\":\"Recent Disruptions\",\"rows\":{\"$state\":\"/recent_disruptions\"},\"columns\":[\"flight_number\",\"type\",\"minutes\",\"route\",\"date\"]}}},\"root\":\"root\"}", + "id": "call_render_spec_001" + }, + { + "name": "query_airline_kpis", + "arguments": "{}", + "id": "call_query_kpis_001" + }, + { + "name": "query_on_time_trend", + "arguments": "{\"months\":12}", + "id": "call_query_trend_001" + }, + { + "name": "query_flights_by_airline", + "arguments": "{}", + "id": "call_query_airlines_001" + }, + { + "name": "query_recent_disruptions", + "arguments": "{\"limit\":5}", + "id": "call_query_disruptions_001" + } + ] + } + } + ] +} diff --git a/cockpit/ag-ui/json-render/angular/e2e/global-setup-impl.ts b/cockpit/ag-ui/json-render/angular/e2e/global-setup-impl.ts new file mode 100644 index 00000000..342c4de2 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/e2e/global-setup-impl.ts @@ -0,0 +1,14 @@ +// SPDX-License-Identifier: MIT +import { resolve } from 'node:path'; +import { portsFor } from '../../../../../cockpit/ports.mjs'; +import { createAgUiGlobalSetup } from '@threadplane-internal/e2e-harness'; + +const ports = portsFor('cockpit-ag-ui-json-render-angular'); + +export default createAgUiGlobalSetup({ + pythonCwd: 'cockpit/ag-ui/json-render/python', + backendPort: ports.langgraph, + angularProject: 'cockpit-ag-ui-json-render-angular', + angularPort: ports.angular, + fixturesDir: resolve(__dirname, 'fixtures'), +}); diff --git a/cockpit/ag-ui/json-render/angular/e2e/json-render.spec.ts b/cockpit/ag-ui/json-render/angular/e2e/json-render.spec.ts new file mode 100644 index 00000000..9c158acb --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/e2e/json-render.spec.ts @@ -0,0 +1,14 @@ +// SPDX-License-Identifier: MIT +import { test, expect } from '@playwright/test'; +import { submitAndWaitForResponse } from '@threadplane-internal/e2e-harness'; + +test('json-render: dashboard renders with STATE_SNAPSHOT-bound KPI values', async ({ page }) => { + await submitAndWaitForResponse(page, 'Show me a dashboard of airline operations.'); + // Spec content mounts the GenUI tree; the KPI numbers arrive via + // STATE_SNAPSHOT (graph state → agent.state() → render store). + await expect(page.locator('chat-generative-ui').first()).toBeVisible({ timeout: 30000 }); + await expect(page.locator('chat-generative-ui')).not.toHaveCount(0); + // At least one stat card shows a non-skeleton value (proves the data path). + await expect(page.locator('app-stat-card .stat-card__value').first()).toBeVisible({ timeout: 30000 }); + await expect(page.locator('app-stat-card .stat-card__value').first()).not.toBeEmpty(); +}); diff --git a/cockpit/ag-ui/json-render/angular/e2e/manual/json-render.manual.ts b/cockpit/ag-ui/json-render/angular/e2e/manual/json-render.manual.ts new file mode 100644 index 00000000..53c95060 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/e2e/manual/json-render.manual.ts @@ -0,0 +1,26 @@ +// SPDX-License-Identifier: MIT +// Manual record-mode harness. Run against a live OpenAI key to capture new +// fixture entries into cockpit/ag-ui/json-render/angular/e2e/fixtures/json-render.json. +// +// Prerequisites: +// 1. Start the uvicorn backend in record mode (OPENAI_API_KEY set, no aimock): +// cd cockpit/ag-ui/json-render/python && uv run uvicorn src.server:app --port 5323 +// 2. Start the Angular dev server: +// npx nx serve cockpit-ag-ui-json-render-angular +// 3. Run this harness via: +// npx playwright test --config cockpit/ag-ui/json-render/angular/e2e/playwright.config.ts \ +// manual/json-render.manual.ts --headed +import { expect, test } from '@playwright/test'; + +test.describe('AG-UI JSON Render Example', () => { + test.beforeEach(async ({ page }) => { + await page.goto('http://localhost:4323'); + await page.waitForSelector('app-json-render', { state: 'attached' }); + }); + + test('renders the airline dashboard for a dashboard request', async ({ page }) => { + await page.fill('textarea[name="messageText"]', 'Show me a dashboard of airline operations.'); + await page.click('button[type="submit"]'); + await expect(page.locator('app-stat-card')).toBeVisible({ timeout: 30000 }); + }); +}); diff --git a/cockpit/ag-ui/json-render/angular/e2e/playwright.config.ts b/cockpit/ag-ui/json-render/angular/e2e/playwright.config.ts new file mode 100644 index 00000000..fb138a73 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/e2e/playwright.config.ts @@ -0,0 +1,21 @@ +// SPDX-License-Identifier: MIT +import { defineConfig, devices } from '@playwright/test'; +import { portsFor } from '../../../../../cockpit/ports.mjs'; + +const { angular: angularPort } = portsFor('cockpit-ag-ui-json-render-angular'); + +export default defineConfig({ + testDir: '.', + testMatch: '**/*.spec.ts', + fullyParallel: false, + workers: 1, + retries: process.env.CI ? 2 : 0, + reporter: process.env.CI ? [['list'], ['html', { open: 'never' }]] : 'list', + use: { + baseURL: `http://localhost:${angularPort}`, + trace: 'retain-on-failure', + }, + projects: [{ name: 'chromium', use: { ...devices['Desktop Chrome'] } }], + globalSetup: './global-setup-impl.ts', + globalTeardown: require.resolve('../../../../../libs/e2e-harness/src/global-teardown'), +}); diff --git a/cockpit/ag-ui/json-render/angular/e2e/tsconfig.json b/cockpit/ag-ui/json-render/angular/e2e/tsconfig.json new file mode 100644 index 00000000..0fc9befb --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/e2e/tsconfig.json @@ -0,0 +1,32 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "ES2022", + "moduleResolution": "Bundler", + "esModuleInterop": true, + "strict": true, + "skipLibCheck": true, + "noEmit": true, + "types": [ + "node" + ], + "baseUrl": "../../../../..", + "paths": { + "@threadplane-internal/e2e-harness": [ + "libs/e2e-harness/src/index.ts" + ], + "@threadplane-internal/e2e-harness/global-teardown": [ + "libs/e2e-harness/src/global-teardown.ts" + ] + }, + "allowJs": true + }, + "include": [ + "**/*.ts" + ], + "exclude": [ + "node_modules", + "test-results", + "playwright-report" + ] +} diff --git a/cockpit/ag-ui/json-render/angular/package.json b/cockpit/ag-ui/json-render/angular/package.json new file mode 100644 index 00000000..c25ee005 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/package.json @@ -0,0 +1,11 @@ +{ + "name": "@threadplane/cockpit-ag-ui-json-render-angular", + "private": true, + "version": "0.0.1", + "peerDependencies": { + "@threadplane/ag-ui": "*", + "@threadplane/chat": "*" + }, + "license": "MIT", + "sideEffects": false +} diff --git a/cockpit/ag-ui/json-render/angular/project.json b/cockpit/ag-ui/json-render/angular/project.json new file mode 100644 index 00000000..dd0c0d54 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/project.json @@ -0,0 +1,81 @@ +{ + "name": "cockpit-ag-ui-json-render-angular", + "$schema": "../../../../node_modules/nx/schemas/project-schema.json", + "sourceRoot": "cockpit/ag-ui/json-render/angular/src", + "projectType": "application", + "targets": { + "build": { + "executor": "@angular/build:application", + "outputs": ["{options.outputPath.base}"], + "options": { + "outputPath": { + "base": "dist/cockpit/ag-ui/json-render/angular", + "browser": "" + }, + "browser": "cockpit/ag-ui/json-render/angular/src/main.ts", + "tsConfig": "cockpit/ag-ui/json-render/angular/tsconfig.app.json", + "styles": ["cockpit/ag-ui/json-render/angular/src/styles.css"] + }, + "configurations": { + "production": { + "budgets": [ + { "type": "initial", "maximumWarning": "1mb", "maximumError": "1.5mb" }, + { "type": "anyComponentStyle", "maximumWarning": "10kb", "maximumError": "16kb" } + ], + "outputHashing": "none" + }, + "development": { + "optimization": false, + "extractLicenses": false, + "sourceMap": true, + "fileReplacements": [ + { + "replace": "cockpit/ag-ui/json-render/angular/src/environments/environment.ts", + "with": "cockpit/ag-ui/json-render/angular/src/environments/environment.development.ts" + } + ] + }, + "cockpit": { + "optimization": false, + "extractLicenses": false, + "sourceMap": true, + "fileReplacements": [ + { + "replace": "cockpit/ag-ui/json-render/angular/src/environments/environment.ts", + "with": "cockpit/ag-ui/json-render/angular/src/environments/environment.development.ts" + } + ], + "browser": "cockpit/ag-ui/json-render/angular/src/main.cockpit.ts" + } + }, + "defaultConfiguration": "production" + }, + "serve": { + "continuous": true, + "executor": "@angular/build:dev-server", + "configurations": { + "production": { "buildTarget": "cockpit-ag-ui-json-render-angular:build:production" }, + "development": { "buildTarget": "cockpit-ag-ui-json-render-angular:build:development" }, + "cockpit": { "buildTarget": "cockpit-ag-ui-json-render-angular:build:cockpit" } + }, + "defaultConfiguration": "development", + "options": { + "proxyConfig": "cockpit/ag-ui/json-render/angular/proxy.conf.mjs" + } + }, + "smoke": { + "executor": "nx:run-commands", + "options": { + "cwd": "cockpit/ag-ui/json-render/angular", + "command": "npx tsx -e \"import { agUiJsonRenderAngularModule } from './src/index.ts'; const module = agUiJsonRenderAngularModule; if (module.id !== 'ag-ui-json-render-angular' || module.title !== 'AG-UI JSON Render (Angular)') { throw new Error('Unexpected module shape for ' + module.id); }\"" + } + }, + "e2e": { + "executor": "@nx/playwright:playwright", + "options": { + "config": "cockpit/ag-ui/json-render/angular/e2e/playwright.config.ts" + } + } + }, + "tags": ["scope:cockpit-e2e", "scope:cockpit-examples"] +} diff --git a/cockpit/ag-ui/json-render/angular/proxy.conf.mjs b/cockpit/ag-ui/json-render/angular/proxy.conf.mjs new file mode 100644 index 00000000..fa7a2e58 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/proxy.conf.mjs @@ -0,0 +1,6 @@ +// SPDX-License-Identifier: MIT +import { portsFor } from '../../../../cockpit/ports.mjs'; +const { langgraph: backend } = portsFor('cockpit-ag-ui-json-render-angular'); +export default { + '/agent': { target: `http://localhost:${backend}`, secure: false, changeOrigin: true, ws: true }, +}; diff --git a/cockpit/ag-ui/json-render/angular/src/app/app.config.ts b/cockpit/ag-ui/json-render/angular/src/app/app.config.ts new file mode 100644 index 00000000..d4e7555e --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/app.config.ts @@ -0,0 +1,8 @@ +// SPDX-License-Identifier: MIT +import { ApplicationConfig } from '@angular/core'; +import { provideAgent } from '@threadplane/ag-ui'; +import { provideChat } from '@threadplane/chat'; + +export const appConfig: ApplicationConfig = { + providers: [provideAgent({ url: '/agent' }), provideChat({})], +}; diff --git a/cockpit/ag-ui/json-render/angular/src/app/json-render.component.ts b/cockpit/ag-ui/json-render/angular/src/app/json-render.component.ts new file mode 100644 index 00000000..df95311e --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/json-render.component.ts @@ -0,0 +1,48 @@ +// SPDX-License-Identifier: MIT +import { Component } from '@angular/core'; +import { ChatComponent, ChatWelcomeSuggestionComponent, views } from '@threadplane/chat'; +import { injectAgent } from '@threadplane/ag-ui'; +import { ExampleChatLayoutComponent } from '@threadplane/example-layouts'; +import { StatCardComponent } from './views/stat-card.component'; +import { ContainerComponent } from './views/container.component'; +import { DashboardGridComponent } from './views/dashboard-grid.component'; +import { LineChartComponent } from './views/line-chart.component'; +import { BarChartComponent } from './views/bar-chart.component'; +import { DataGridComponent } from './views/data-grid.component'; + +const dashboardViews = views({ + stat_card: StatCardComponent, + container: ContainerComponent, + dashboard_grid: DashboardGridComponent, + line_chart: LineChartComponent, + bar_chart: BarChartComponent, + data_grid: DataGridComponent, +}); + +const WELCOME_SUGGESTIONS = [ + { label: 'Airline operations dashboard', value: 'Show me a dashboard of airline operations.' }, + { label: 'Filter to cancelled flights', value: 'Filter to only the cancelled flights.' }, +] as const; + +@Component({ + selector: 'app-json-render', + standalone: true, + imports: [ChatComponent, ChatWelcomeSuggestionComponent, ExampleChatLayoutComponent], + template: ` + + +
+ @for (s of suggestions; track s.value) { + + } +
+ + + `, +}) +export class JsonRenderComponent { + protected readonly agent = injectAgent(); + protected readonly dashboardViews = dashboardViews; + protected readonly suggestions = WELCOME_SUGGESTIONS; + protected send(text: string): void { void this.agent.submit({ message: text }); } +} diff --git a/cockpit/ag-ui/json-render/angular/src/app/views/bar-chart.component.ts b/cockpit/ag-ui/json-render/angular/src/app/views/bar-chart.component.ts new file mode 100644 index 00000000..56f315ce --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/views/bar-chart.component.ts @@ -0,0 +1,134 @@ +// SPDX-License-Identifier: MIT +import { Component, computed, input } from '@angular/core'; + +@Component({ + selector: 'app-bar-chart', + standalone: true, + template: ` +
+
{{ title() }}
+ @if (isSkeleton()) { +
+ } @else { + + + + @for (bar of bars(); track $index) { + + {{ bar.value }} + {{ bar.label }} + } + + + + + + + + } +
+ `, + styleUrls: ['./skeleton.css'], + styles: [` + .chart-card { + display: flex; + flex-direction: column; + gap: 12px; + padding: 16px 18px; + border: 1px solid rgba(255, 255, 255, 0.08); + border-radius: 10px; + background: rgba(255, 255, 255, 0.03); + backdrop-filter: blur(4px); + } + .chart-card__title { + font-size: 13px; + font-weight: 600; + color: rgba(255, 255, 255, 0.65); + letter-spacing: 0.01em; + } + .chart-card__svg { + width: 100%; + height: auto; + max-height: 280px; + display: block; + } + .bar { + transition: opacity 120ms ease; + } + .bar:hover { + opacity: 0.85; + } + `], +}) +export class BarChartComponent { + readonly title = input(''); + readonly data = input[] | null>(null); + readonly labelKey = input(''); + readonly valueKey = input(''); + + readonly width = 400; + readonly height = 220; + readonly padding = { top: 28, right: 16, bottom: 28, left: 16 }; + + readonly isSkeleton = computed(() => this.data() == null); + + readonly bars = computed(() => { + const d = this.data(); + if (!d || d.length === 0) return []; + const lk = this.labelKey(); + const vk = this.valueKey(); + const values = d.map(item => Number(item[vk]) || 0); + const maxVal = Math.max(...values) || 1; + const plotW = this.width - this.padding.left - this.padding.right; + const plotH = this.height - this.padding.top - this.padding.bottom; + const gap = 12; + const barW = (plotW - gap * (d.length - 1)) / d.length; + + return d.map((item, i) => { + const val = Number(item[vk]) || 0; + const h = (val / maxVal) * plotH; + return { + x: this.padding.left + i * (barW + gap), + y: this.padding.top + plotH - h, + w: barW, + h, + label: String(item[lk] ?? ''), + value: val.toLocaleString(), + }; + }); + }); +} diff --git a/cockpit/ag-ui/json-render/angular/src/app/views/container.component.ts b/cockpit/ag-ui/json-render/angular/src/app/views/container.component.ts new file mode 100644 index 00000000..9f4807f8 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/views/container.component.ts @@ -0,0 +1,48 @@ +// SPDX-License-Identifier: MIT +import { Component, computed, input } from '@angular/core'; +import type { Spec } from '@json-render/core'; +import { RenderElementComponent } from '@threadplane/render'; + +@Component({ + selector: 'app-container', + standalone: true, + imports: [RenderElementComponent], + template: ` +
+ @for (key of childKeys(); track key) { + + } +
+ `, + styles: [` + .container { + display: grid; + gap: 12px; + min-width: 0; + } + .container[data-direction="column"] { + grid-template-columns: 1fr; + } + .container[data-direction="row"] { + grid-template-columns: repeat(var(--container-cols, 1), minmax(0, 1fr)); + } + /* Responsive collapse: at narrow widths, row containers stack to single column */ + @media (max-width: 720px) { + .container[data-direction="row"] { + grid-template-columns: repeat(2, minmax(0, 1fr)); + } + } + @media (max-width: 480px) { + .container[data-direction="row"] { + grid-template-columns: 1fr; + } + } + `], +}) +export class ContainerComponent { + readonly childKeys = input([]); + readonly spec = input.required(); + readonly direction = input<'row' | 'column'>('column'); + + readonly rowChildCount = computed(() => Math.max(1, this.childKeys().length)); +} diff --git a/cockpit/ag-ui/json-render/angular/src/app/views/dashboard-grid.component.ts b/cockpit/ag-ui/json-render/angular/src/app/views/dashboard-grid.component.ts new file mode 100644 index 00000000..0e5b3149 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/views/dashboard-grid.component.ts @@ -0,0 +1,31 @@ +// SPDX-License-Identifier: MIT +import { Component, input } from '@angular/core'; +import type { Spec } from '@json-render/core'; +import { RenderElementComponent } from '@threadplane/render'; + +@Component({ + selector: 'app-dashboard-grid', + standalone: true, + imports: [RenderElementComponent], + template: ` +
+ @for (key of childKeys(); track key) { + + } +
+ `, + styles: [` + .dashboard-grid { + display: flex; + flex-direction: column; + gap: 16px; + padding: 4px 0; + width: 100%; + min-width: 0; + } + `], +}) +export class DashboardGridComponent { + readonly childKeys = input([]); + readonly spec = input.required(); +} diff --git a/cockpit/ag-ui/json-render/angular/src/app/views/data-grid.component.ts b/cockpit/ag-ui/json-render/angular/src/app/views/data-grid.component.ts new file mode 100644 index 00000000..0ec2b71d --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/views/data-grid.component.ts @@ -0,0 +1,113 @@ +// SPDX-License-Identifier: MIT +import { Component, computed, input } from '@angular/core'; + +@Component({ + selector: 'app-data-grid', + standalone: true, + template: ` +
+
{{ title() }}
+ @if (isSkeleton()) { + @for (i of skeletonRows; track i) { +
+ } + } @else { +
+ + + + @for (col of formattedColumns(); track col.key) { + + } + + + + @for (row of rows(); track $index) { + + @for (col of formattedColumns(); track col.key) { + + } + + } + +
{{ col.label }}
{{ row[col.key] }}
+
+ } +
+ `, + styleUrls: ['./skeleton.css'], + styles: [` + .data-grid { + display: flex; + flex-direction: column; + gap: 12px; + padding: 16px 18px; + border: 1px solid rgba(255, 255, 255, 0.08); + border-radius: 10px; + background: rgba(255, 255, 255, 0.03); + backdrop-filter: blur(4px); + } + .data-grid__title { + font-size: 13px; + font-weight: 600; + color: rgba(255, 255, 255, 0.65); + letter-spacing: 0.01em; + } + .data-grid__scroll { + overflow-x: auto; + margin: 0 -4px; + } + .data-grid__table { + width: 100%; + border-collapse: collapse; + font-size: 13px; + font-variant-numeric: tabular-nums; + } + .data-grid__table th { + text-align: left; + padding: 8px 10px; + font-size: 11px; + font-weight: 600; + letter-spacing: 0.06em; + text-transform: uppercase; + color: rgba(255, 255, 255, 0.45); + border-bottom: 1px solid rgba(255, 255, 255, 0.1); + white-space: nowrap; + } + .data-grid__table td { + padding: 10px; + color: rgba(255, 255, 255, 0.85); + border-bottom: 1px solid rgba(255, 255, 255, 0.04); + white-space: nowrap; + } + .data-grid__table tbody tr:nth-child(even) td { + background: rgba(255, 255, 255, 0.02); + } + .data-grid__table tbody tr:last-child td { + border-bottom: none; + } + `], +}) +export class DataGridComponent { + readonly title = input(''); + readonly rows = input[] | null>(null); + readonly columns = input([]); + + readonly skeletonRows = [0, 1, 2, 3]; + + readonly isSkeleton = computed(() => this.rows() == null); + + readonly formattedColumns = computed(() => + this.columns().map(key => ({ + key, + label: key + .split('_') + .map(word => + word.length <= 3 + ? word.toUpperCase() + : word.charAt(0).toUpperCase() + word.slice(1) + ) + .join(' '), + })) + ); +} diff --git a/cockpit/ag-ui/json-render/angular/src/app/views/line-chart.component.ts b/cockpit/ag-ui/json-render/angular/src/app/views/line-chart.component.ts new file mode 100644 index 00000000..249144ec --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/views/line-chart.component.ts @@ -0,0 +1,173 @@ +// SPDX-License-Identifier: MIT +import { Component, computed, input } from '@angular/core'; + +@Component({ + selector: 'app-line-chart', + standalone: true, + template: ` +
+
{{ title() }}
+ @if (isSkeleton()) { +
+ } @else { + + + @for (y of yGridLines(); track y.value) { + + {{ y.label }} + } + + + + + + @for (pt of points(); track $index) { + + } + + @for (pt of xLabels(); track $index) { + {{ pt.label }} + } + + + + + + + + } +
+ `, + styleUrls: ['./skeleton.css'], + styles: [` + .chart-card { + display: flex; + flex-direction: column; + gap: 12px; + padding: 16px 18px; + border: 1px solid rgba(255, 255, 255, 0.08); + border-radius: 10px; + background: rgba(255, 255, 255, 0.03); + backdrop-filter: blur(4px); + } + .chart-card__title { + font-size: 13px; + font-weight: 600; + color: rgba(255, 255, 255, 0.65); + letter-spacing: 0.01em; + } + .chart-card__svg { + width: 100%; + height: auto; + max-height: 280px; + display: block; + } + `], +}) +export class LineChartComponent { + readonly title = input(''); + readonly data = input[] | null>(null); + readonly xKey = input(''); + readonly yKey = input(''); + + readonly width = 400; + readonly height = 220; + readonly padding = { top: 16, right: 16, bottom: 28, left: 44 }; + + readonly isSkeleton = computed(() => this.data() == null); + + readonly points = computed(() => { + const d = this.data(); + if (!d || d.length === 0) return []; + const xk = this.xKey(); + const yk = this.yKey(); + const values = d.map(item => Number(item[yk]) || 0); + const yMin = Math.min(...values); + const yMax = Math.max(...values); + const yRange = yMax - yMin || 1; + const plotW = this.width - this.padding.left - this.padding.right; + const plotH = this.height - this.padding.top - this.padding.bottom; + + return d.map((item, i) => ({ + x: this.padding.left + (d.length > 1 ? (i / (d.length - 1)) * plotW : plotW / 2), + y: this.padding.top + plotH - ((Number(item[yk]) || 0) - yMin) / yRange * plotH, + label: String(item[xk] ?? ''), + })); + }); + + readonly polylinePoints = computed(() => + this.points().map(p => `${p.x},${p.y}`).join(' ') + ); + + readonly areaPath = computed((): string => { + const pts = this.points(); + if (pts.length === 0) return ''; + const baseline = this.padding.top + (this.height - this.padding.top - this.padding.bottom); + const top = pts.map((p, i) => `${i === 0 ? 'M' : 'L'} ${p.x} ${p.y}`).join(' '); + return `${top} L ${pts[pts.length - 1].x} ${baseline} L ${pts[0].x} ${baseline} Z`; + }); + + readonly xLabels = computed(() => { + const pts = this.points(); + if (pts.length <= 6) return pts; + const step = Math.ceil(pts.length / 6); + return pts.filter((_, i) => i % step === 0 || i === pts.length - 1); + }); + + readonly yGridLines = computed(() => { + const d = this.data(); + if (!d || d.length === 0) return []; + const yk = this.yKey(); + const values = d.map(item => Number(item[yk]) || 0); + const yMin = Math.min(...values); + const yMax = Math.max(...values); + const plotH = this.height - this.padding.top - this.padding.bottom; + const mid = (yMin + yMax) / 2; + return [ + { value: yMax, y: this.padding.top, label: this.formatNumber(yMax) }, + { value: mid, y: this.padding.top + plotH / 2, label: this.formatNumber(mid) }, + { value: yMin, y: this.padding.top + plotH, label: this.formatNumber(yMin) }, + ]; + }); + + private formatNumber(n: number): string { + if (n >= 1000) return `${(n / 1000).toFixed(0)}k`; + return n.toFixed(0); + } +} diff --git a/cockpit/ag-ui/json-render/angular/src/app/views/skeleton.css b/cockpit/ag-ui/json-render/angular/src/app/views/skeleton.css new file mode 100644 index 00000000..1bac950d --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/views/skeleton.css @@ -0,0 +1,32 @@ +.skeleton { + background: linear-gradient(90deg, rgba(255,255,255,0.05) 25%, rgba(255,255,255,0.1) 50%, rgba(255,255,255,0.05) 75%); + background-size: 200% 100%; + animation: shimmer 1.5s infinite; + border-radius: 4px; +} + +@keyframes shimmer { + 0% { background-position: 200% 0; } + 100% { background-position: -200% 0; } +} + +.skeleton-text { + height: 1em; + width: 60%; +} + +.skeleton-value { + height: 1.5em; + width: 40%; +} + +.skeleton-chart { + height: 200px; + width: 100%; +} + +.skeleton-row { + height: 2em; + width: 100%; + margin-bottom: 4px; +} diff --git a/cockpit/ag-ui/json-render/angular/src/app/views/stat-card.component.ts b/cockpit/ag-ui/json-render/angular/src/app/views/stat-card.component.ts new file mode 100644 index 00000000..cc74fdcb --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/app/views/stat-card.component.ts @@ -0,0 +1,81 @@ +// SPDX-License-Identifier: MIT +import { Component, computed, input } from '@angular/core'; + +@Component({ + selector: 'app-stat-card', + standalone: true, + template: ` +
+
{{ label() }}
+ @if (isSkeleton()) { +
+
+ } @else { +
{{ formattedValue() }}
+ @if (delta()) { +
+ {{ delta() }} +
+ } + } +
+ `, + styleUrls: ['./skeleton.css'], + styles: [` + .stat-card { + display: flex; + flex-direction: column; + gap: 6px; + padding: 16px 18px; + border: 1px solid rgba(255, 255, 255, 0.08); + border-radius: 10px; + background: rgba(255, 255, 255, 0.03); + backdrop-filter: blur(4px); + min-width: 0; + } + .stat-card__label { + font-size: 11px; + font-weight: 600; + letter-spacing: 0.08em; + text-transform: uppercase; + color: rgba(255, 255, 255, 0.45); + } + .stat-card__value { + font-size: 24px; + font-weight: 600; + line-height: 1.1; + color: rgba(255, 255, 255, 0.95); + font-variant-numeric: tabular-nums; + } + .stat-card__delta { + font-size: 12px; + font-weight: 500; + font-variant-numeric: tabular-nums; + color: rgba(255, 255, 255, 0.55); + } + .stat-card__delta[data-trend="up"] { color: #5cd393; } + .stat-card__delta[data-trend="down"] { color: #f08585; } + `], +}) +export class StatCardComponent { + readonly label = input(''); + readonly value = input(null); + readonly delta = input(null); + + readonly isSkeleton = computed(() => this.value() == null); + + readonly formattedValue = computed(() => { + const v = this.value(); + if (v == null) return ''; + if (typeof v === 'number') return v.toLocaleString(); + return String(v); + }); + + readonly deltaTrend = computed((): 'up' | 'down' | 'flat' => { + const d = this.delta(); + if (!d) return 'flat'; + if (d.startsWith('+')) return 'up'; + if (d.startsWith('-') || d.startsWith('−')) return 'down'; + return 'flat'; + }); +} diff --git a/cockpit/ag-ui/json-render/angular/src/environments/environment.development.ts b/cockpit/ag-ui/json-render/angular/src/environments/environment.development.ts new file mode 100644 index 00000000..a20cfe55 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/environments/environment.development.ts @@ -0,0 +1,3 @@ +export const environment = { + production: false, +}; diff --git a/cockpit/ag-ui/json-render/angular/src/environments/environment.ts b/cockpit/ag-ui/json-render/angular/src/environments/environment.ts new file mode 100644 index 00000000..c9669790 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/environments/environment.ts @@ -0,0 +1,3 @@ +export const environment = { + production: true, +}; diff --git a/cockpit/ag-ui/json-render/angular/src/index.html b/cockpit/ag-ui/json-render/angular/src/index.html new file mode 100644 index 00000000..c957ac02 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/index.html @@ -0,0 +1,12 @@ + + + + + AG-UI JSON Render — Angular + + + + + + + diff --git a/cockpit/ag-ui/json-render/angular/src/index.ts b/cockpit/ag-ui/json-render/angular/src/index.ts new file mode 100644 index 00000000..276eb676 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/index.ts @@ -0,0 +1,37 @@ +export interface CockpitCapabilityModule { + id: string; + manifestIdentity: { + product: 'ag-ui'; + section: 'core-capabilities'; + topic: 'json-render'; + page: 'overview'; + language: 'angular'; + }; + title: string; + docsPath: string; + promptAssetPaths: string[]; + codeAssetPaths: string[]; + backendAssetPaths: string[]; +} + +export const agUiJsonRenderAngularModule: CockpitCapabilityModule = { + id: 'ag-ui-json-render-angular', + manifestIdentity: { + product: 'ag-ui', + section: 'core-capabilities', + topic: 'json-render', + page: 'overview', + language: 'angular', + }, + title: 'AG-UI JSON Render (Angular)', + docsPath: '/docs/ag-ui/core-capabilities/json-render/overview/angular', + promptAssetPaths: ['cockpit/ag-ui/json-render/python/prompts/json-render.md'], + codeAssetPaths: [ + 'cockpit/ag-ui/json-render/angular/src/app/json-render.component.ts', + 'cockpit/ag-ui/json-render/angular/src/app/app.config.ts', + ], + backendAssetPaths: [ + 'cockpit/ag-ui/json-render/python/src/graph.py', + 'cockpit/ag-ui/json-render/python/src/server.py', + ], +}; diff --git a/cockpit/ag-ui/json-render/angular/src/main.cockpit.ts b/cockpit/ag-ui/json-render/angular/src/main.cockpit.ts new file mode 100644 index 00000000..16a1dcef --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/main.cockpit.ts @@ -0,0 +1,6 @@ +// SPDX-License-Identifier: MIT +import { appConfig } from './app/app.config'; +import { JsonRenderComponent } from './app/json-render.component'; +import { bootstrapWithCockpitHarness } from '@threadplane/cockpit-telemetry'; + +bootstrapWithCockpitHarness(JsonRenderComponent, appConfig); diff --git a/cockpit/ag-ui/json-render/angular/src/main.ts b/cockpit/ag-ui/json-render/angular/src/main.ts new file mode 100644 index 00000000..b70eb363 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/main.ts @@ -0,0 +1,6 @@ +// SPDX-License-Identifier: MIT +import { bootstrapApplication } from '@angular/platform-browser'; +import { appConfig } from './app/app.config'; +import { JsonRenderComponent } from './app/json-render.component'; + +bootstrapApplication(JsonRenderComponent, appConfig).catch(console.error); diff --git a/cockpit/ag-ui/json-render/angular/src/styles.css b/cockpit/ag-ui/json-render/angular/src/styles.css new file mode 100644 index 00000000..729b2ed4 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/src/styles.css @@ -0,0 +1,9 @@ +@import "@threadplane/example-layouts/theme.css"; + +html, body { + height: 100%; + margin: 0; + background: var(--ngaf-chat-bg); + color: var(--ngaf-chat-text); + font-family: var(--ngaf-chat-font-family); +} diff --git a/cockpit/ag-ui/json-render/angular/tsconfig.app.json b/cockpit/ag-ui/json-render/angular/tsconfig.app.json new file mode 100644 index 00000000..b71990f1 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/tsconfig.app.json @@ -0,0 +1,25 @@ +{ + "extends": "./tsconfig.json", + "compilerOptions": { + "outDir": "../../../../dist/out-tsc", + "lib": ["es2022", "dom"], + "types": [], + "emitDeclarationOnly": false + }, + "files": ["src/main.ts"], + "include": ["src/**/*.ts"], + "references": [ + { + "path": "../../../../libs/cockpit-telemetry" + }, + { + "path": "../../../../libs/example-layouts" + }, + { + "path": "../../../../libs/chat" + }, + { + "path": "../../../../libs/ag-ui" + } + ] +} diff --git a/cockpit/ag-ui/json-render/angular/tsconfig.json b/cockpit/ag-ui/json-render/angular/tsconfig.json new file mode 100644 index 00000000..3fd97037 --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/tsconfig.json @@ -0,0 +1,24 @@ +{ + "extends": "../../../../tsconfig.base.json", + "compilerOptions": { + "noPropertyAccessFromIndexSignature": false, + "experimentalDecorators": true, + "module": "preserve", + "emitDeclarationOnly": false, + "composite": false, + "lib": ["es2022", "dom"], + "skipLibCheck": true, + "strict": false + }, + "angularCompilerOptions": { + "enableI18nLegacyMessageIdFormat": false, + "strictInjectionParameters": false, + "strictInputAccessModifiers": false, + "strictTemplates": false + }, + "files": [], + "include": [], + "references": [ + { "path": "./tsconfig.app.json" } + ] +} diff --git a/cockpit/ag-ui/json-render/angular/vercel.json b/cockpit/ag-ui/json-render/angular/vercel.json new file mode 100644 index 00000000..5ab4a42a --- /dev/null +++ b/cockpit/ag-ui/json-render/angular/vercel.json @@ -0,0 +1,6 @@ +{ + "$schema": "https://openapi.vercel.sh/vercel.json", + "buildCommand": "npx nx build cockpit-ag-ui-json-render-angular", + "outputDirectory": "dist/cockpit/ag-ui/json-render/angular/browser", + "framework": null +} diff --git a/cockpit/ag-ui/json-render/python/.gitignore b/cockpit/ag-ui/json-render/python/.gitignore new file mode 100644 index 00000000..670a9362 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/.gitignore @@ -0,0 +1,2 @@ +__pycache__/ +.venv/ diff --git a/cockpit/ag-ui/json-render/python/project.json b/cockpit/ag-ui/json-render/python/project.json new file mode 100644 index 00000000..1e6ad8f7 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/project.json @@ -0,0 +1,38 @@ +{ + "name": "cockpit-ag-ui-json-render-python", + "$schema": "../../../../node_modules/nx/schemas/project-schema.json", + "sourceRoot": "cockpit/ag-ui/json-render/python/src", + "projectType": "library", + "targets": { + "build": { + "executor": "@nx/js:tsc", + "outputs": [ + "{workspaceRoot}/dist/cockpit/ag-ui/json-render/python" + ], + "options": { + "outputPath": "dist/cockpit/ag-ui/json-render/python", + "main": "cockpit/ag-ui/json-render/python/src/index.ts", + "tsConfig": "cockpit/ag-ui/json-render/python/tsconfig.json" + } + }, + "smoke": { + "executor": "nx:run-commands", + "options": { + "cwd": "cockpit/ag-ui/json-render/python", + "command": "npx tsx -e \"import { agUiJsonRenderPythonModule } from './src/index.ts'; const module = agUiJsonRenderPythonModule; if (module.id !== 'ag-ui-json-render-python' || module.title !== 'AG-UI JSON Render (Python)') { throw new Error('Unexpected module shape for ' + module.id); }\"" + } + }, + "serve": { + "executor": "nx:run-commands", + "options": { + "cwd": "cockpit/ag-ui/json-render/python", + "command": "uv run uvicorn src.server:app --port 5323" + } + } + }, + "tags": [ + "scope:cockpit-e2e", + "scope:cockpit-examples", + "scope:cockpit-smoke" + ] +} diff --git a/cockpit/ag-ui/json-render/python/prompts/json-render.md b/cockpit/ag-ui/json-render/python/prompts/json-render.md new file mode 100644 index 00000000..19e7d966 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/prompts/json-render.md @@ -0,0 +1,80 @@ +# Airline Operations Dashboard Agent + +You are a dashboard agent that builds interactive airline-operations KPI dashboards. You have five tools: + +- `render_spec(elements, root)` — Author or update the dashboard layout. `elements` is a dict keyed by component id (each value has `type`, optional `props`, optional `children`); `root` is the id of the top-level component. See the schema below. +- `query_airline_kpis()` — Snapshot of operational KPIs: on-time %, flights today, avg delay, load factor. +- `query_on_time_trend(months=12)` — On-time performance per month, for the line chart. +- `query_flights_by_airline(airlines=None)` — Daily flight counts per airline, for the bar chart. +- `query_recent_disruptions(limit=5, type=None)` — Recent delays/cancellations, for the data grid. + +## Workflow + +### When no dashboard exists yet (first turn) + +1. Call `render_spec` ONCE with a complete dashboard layout — stat cards, charts, table — using `$state` bindings to the slots the data tools populate (see "State Path Conventions" below). +2. In the SAME turn (same tool_calls array), call EACH data tool that backs a component in your spec. Do NOT call tools whose data your spec doesn't reference. +3. After the tools return, return WITHOUT any further tool calls. A separate node will write a brief conversational summary. **Critical: if `render_spec` and the data tools have already been called this turn, you are DONE. Return with no tool_calls. Do NOT call `render_spec` again. Do NOT re-call the data tools.** + +### When the dashboard exists (follow-up turn) + +Categorize the user's request and act ONCE. DO NOT ask clarifying questions — pick the most reasonable interpretation and act. + +- **Filter / scope** (e.g. "filter to cancelled flights only", "last 6 months", "top 3"): call EXACTLY ONE data tool — the one that backs the affected component — with the new parameters. Do NOT call `render_spec`. +- **Structural change** (e.g. "add a card for X", "remove the table"): call `render_spec` with the modified layout, then call data tools only for the NEW components. +- **Interpretive question** that no tool could resolve (e.g. "why is on-time % low?"): respond in plain prose with no tool calls. + +## JSON Render Spec Format + +Your spec response MUST be raw JSON only — no markdown, no code fences, no surrounding text. + +``` +{ + "elements": { [key: string]: Element }, + "root": string +} +``` + +An Element has: +``` +{ + "type": string, + "props": { ... }, + "children?": string[] +} +``` + +### Props with State Bindings + +Use `{ "$state": "/json/pointer/path" }` for props that will be populated by tool results. The dashboard renders skeleton placeholders until the data arrives. + +Example: `"value": { "$state": "/on_time/value" }` — this prop will be populated when the `/on_time/value` state path receives data. + +## Available Component Types + +| Type | Props | Children | Description | +|------|-------|----------|-------------| +| `dashboard_grid` | *(none)* | Yes | Top-level vertical layout with section spacing | +| `container` | `direction` ("row" or "column") | Yes | Flex layout container | +| `stat_card` | `label` (string), `value` ($state), `delta` ($state) | No | Metric summary card | +| `line_chart` | `title` (string), `data` ($state array), `xKey` (string), `yKey` (string) | No | SVG line chart | +| `bar_chart` | `title` (string), `data` ($state array), `labelKey` (string), `valueKey` (string) | No | SVG bar chart | +| `data_grid` | `title` (string), `rows` ($state array), `columns` (string[]) | No | Data table | + +## State Path Conventions + +Use these state paths to match what the tools populate: + +- `/on_time/value`, `/on_time/delta` — from query_airline_kpis +- `/flights_today/value`, `/flights_today/delta` — from query_airline_kpis +- `/avg_delay/value`, `/avg_delay/delta` — from query_airline_kpis +- `/load_factor/value`, `/load_factor/delta` — from query_airline_kpis +- `/on_time_trend` — array from query_on_time_trend +- `/flights_by_airline` — array from query_flights_by_airline +- `/recent_disruptions` — array from query_recent_disruptions + +## Example Spec + +For "show me the dashboard": + +{"elements":{"root":{"type":"dashboard_grid","children":["stats_row","charts_row","table_section"]},"stats_row":{"type":"container","props":{"direction":"row"},"children":["on_time_card","flights_card","delay_card","load_card"]},"on_time_card":{"type":"stat_card","props":{"label":"On-time %","value":{"$state":"/on_time/value"},"delta":{"$state":"/on_time/delta"}}},"flights_card":{"type":"stat_card","props":{"label":"Flights Today","value":{"$state":"/flights_today/value"},"delta":{"$state":"/flights_today/delta"}}},"delay_card":{"type":"stat_card","props":{"label":"Avg Delay","value":{"$state":"/avg_delay/value"},"delta":{"$state":"/avg_delay/delta"}}},"load_card":{"type":"stat_card","props":{"label":"Load Factor","value":{"$state":"/load_factor/value"},"delta":{"$state":"/load_factor/delta"}}},"charts_row":{"type":"container","props":{"direction":"row"},"children":["trend_chart","airline_chart"]},"trend_chart":{"type":"line_chart","props":{"title":"On-time % Trend","data":{"$state":"/on_time_trend"},"xKey":"month","yKey":"on_time_pct"}},"airline_chart":{"type":"bar_chart","props":{"title":"Flights by Airline","data":{"$state":"/flights_by_airline"},"labelKey":"airline","valueKey":"count"}},"table_section":{"type":"data_grid","props":{"title":"Recent Disruptions","rows":{"$state":"/recent_disruptions"},"columns":["flight_number","type","minutes","route","date"]}}},"root":"root"} diff --git a/cockpit/ag-ui/json-render/python/pyproject.toml b/cockpit/ag-ui/json-render/python/pyproject.toml new file mode 100644 index 00000000..39c42827 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/pyproject.toml @@ -0,0 +1,19 @@ +[project] +name = "cockpit-ag-ui-json-render" +version = "0.1.0" +requires-python = ">=3.12" +dependencies = [ + "langgraph>=0.3", + "langchain-openai>=0.3", + "langsmith>=0.2", + "ag-ui-langgraph>=0.0.25", + "fastapi>=0.110", + "uvicorn[standard]>=0.29", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src"] diff --git a/cockpit/ag-ui/json-render/python/requirements.txt b/cockpit/ag-ui/json-render/python/requirements.txt new file mode 100644 index 00000000..44be732b --- /dev/null +++ b/cockpit/ag-ui/json-render/python/requirements.txt @@ -0,0 +1,182 @@ +# This file was autogenerated by uv via the following command: +# uv export --no-hashes -o requirements.txt +-e . +ag-ui-a2ui-toolkit==0.0.2 + # via ag-ui-langgraph +ag-ui-langgraph==0.0.40 + # via cockpit-ag-ui-json-render +ag-ui-protocol==0.1.19 + # via ag-ui-langgraph +annotated-doc==0.0.4 + # via fastapi +annotated-types==0.7.0 + # via pydantic +anyio==4.13.0 + # via + # httpx + # openai + # starlette + # watchfiles +certifi==2026.5.20 + # via + # httpcore + # httpx + # requests +charset-normalizer==3.4.7 + # via requests +click==8.4.1 + # via uvicorn +colorama==0.4.6 ; sys_platform == 'win32' + # via + # click + # tqdm + # uvicorn +distro==1.9.0 + # via openai +fastapi==0.136.3 + # via cockpit-ag-ui-json-render +h11==0.16.0 + # via + # httpcore + # uvicorn +httpcore==1.0.9 + # via httpx +httptools==0.8.0 + # via uvicorn +httpx==0.28.1 + # via + # langgraph-sdk + # langsmith + # openai +idna==3.18 + # via + # anyio + # httpx + # requests +jiter==0.15.0 + # via openai +jsonpatch==1.33 + # via langchain-core +jsonpointer==3.1.1 + # via jsonpatch +langchain==1.3.4 + # via ag-ui-langgraph +langchain-core==1.4.1 + # via + # ag-ui-langgraph + # langchain + # langchain-openai + # langgraph + # langgraph-checkpoint + # langgraph-prebuilt + # langgraph-sdk +langchain-openai==1.2.2 + # via cockpit-ag-ui-json-render +langchain-protocol==0.0.16 + # via + # langchain-core + # langgraph-sdk +langgraph==1.2.4 + # via + # ag-ui-langgraph + # cockpit-ag-ui-json-render + # langchain +langgraph-checkpoint==4.1.1 + # via + # langgraph + # langgraph-prebuilt +langgraph-prebuilt==1.1.0 + # via langgraph +langgraph-sdk==0.4.2 + # via langgraph +langsmith==0.8.9 + # via + # cockpit-ag-ui-json-render + # langchain-core +openai==2.41.0 + # via langchain-openai +orjson==3.11.9 + # via + # langgraph-sdk + # langsmith +ormsgpack==1.12.2 + # via langgraph-checkpoint +packaging==26.2 + # via + # langchain-core + # langsmith +pydantic==2.13.4 + # via + # ag-ui-langgraph + # ag-ui-protocol + # fastapi + # langchain + # langchain-core + # langgraph + # langsmith + # openai +pydantic-core==2.46.4 + # via pydantic +python-dotenv==1.2.2 + # via uvicorn +pyyaml==6.0.3 + # via + # langchain-core + # uvicorn +regex==2026.5.9 + # via tiktoken +requests==2.34.2 + # via + # langsmith + # requests-toolbelt + # tiktoken +requests-toolbelt==1.0.0 + # via langsmith +sniffio==1.3.1 + # via openai +starlette==1.2.1 + # via fastapi +tenacity==9.1.4 + # via langchain-core +tiktoken==0.13.0 + # via langchain-openai +tqdm==4.68.1 + # via openai +typing-extensions==4.15.0 + # via + # anyio + # fastapi + # langchain-core + # langchain-protocol + # openai + # pydantic + # pydantic-core + # starlette + # typing-inspection +typing-inspection==0.4.2 + # via + # fastapi + # pydantic +urllib3==2.7.0 + # via requests +uuid-utils==0.16.0 + # via + # langchain-core + # langsmith +uvicorn==0.49.0 + # via cockpit-ag-ui-json-render +uvloop==0.22.1 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32' + # via uvicorn +watchfiles==1.2.0 + # via uvicorn +websockets==15.0.1 + # via + # langgraph-sdk + # langsmith + # uvicorn +xxhash==3.7.0 + # via + # langgraph + # langsmith +zstandard==0.25.0 + # via langsmith diff --git a/cockpit/ag-ui/json-render/python/src/__init__.py b/cockpit/ag-ui/json-render/python/src/__init__.py new file mode 100644 index 00000000..548d2d44 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/src/__init__.py @@ -0,0 +1 @@ +# SPDX-License-Identifier: MIT diff --git a/cockpit/ag-ui/json-render/python/src/dashboard_tools.py b/cockpit/ag-ui/json-render/python/src/dashboard_tools.py new file mode 100644 index 00000000..5f71d9a5 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/src/dashboard_tools.py @@ -0,0 +1,117 @@ +"""Aviation KPI tools for the c-generative-ui standalone demo. + +Standalone copy — analytics constants are inlined here because this +backend has no shared aviation_data.py module. Mirrors the umbrella +backend at cockpit/langgraph/streaming/python/src/dashboard_tools.py. +""" + +from langchain_core.tools import tool + +# ── Analytics fixtures (inlined; no aviation_data.py in standalone) ───────── + +KPI_SNAPSHOT = { + "on_time_pct": 84.2, + "on_time_delta": "+1.4%", + "flights_today": 312, + "flights_today_delta": "+8", + "avg_delay_min": 12, + "avg_delay_delta": "-2 min", + "load_factor_pct": 78.5, + "load_factor_delta": "+0.6%", +} + +ON_TIME_TREND = [ + {"month": "2025-05", "on_time_pct": 82.4}, + {"month": "2025-06", "on_time_pct": 81.1}, + {"month": "2025-07", "on_time_pct": 79.8}, + {"month": "2025-08", "on_time_pct": 80.5}, + {"month": "2025-09", "on_time_pct": 83.2}, + {"month": "2025-10", "on_time_pct": 84.0}, + {"month": "2025-11", "on_time_pct": 82.6}, + {"month": "2025-12", "on_time_pct": 78.9}, + {"month": "2026-01", "on_time_pct": 80.2}, + {"month": "2026-02", "on_time_pct": 81.7}, + {"month": "2026-03", "on_time_pct": 82.8}, + {"month": "2026-04", "on_time_pct": 84.2}, +] + +FLIGHTS_BY_AIRLINE = [ + {"airline": "American", "count": 87}, + {"airline": "United", "count": 92}, + {"airline": "Delta", "count": 78}, + {"airline": "JetBlue", "count": 55}, +] + +RECENT_DISRUPTIONS = [ + {"flight_number": "UA123", "type": "delayed", "minutes": 45, "route": "LAX→JFK", "date": "2026-05-14"}, + {"flight_number": "AA456", "type": "cancelled", "minutes": 0, "route": "JFK→LAX", "date": "2026-05-14"}, + {"flight_number": "DL789", "type": "delayed", "minutes": 22, "route": "ATL→ORD", "date": "2026-05-13"}, + {"flight_number": "B6101", "type": "delayed", "minutes": 68, "route": "BOS→MIA", "date": "2026-05-13"}, + {"flight_number": "UA204", "type": "cancelled", "minutes": 0, "route": "SFO→SEA", "date": "2026-05-12"}, + {"flight_number": "AA318", "type": "delayed", "minutes": 15, "route": "DFW→DEN", "date": "2026-05-12"}, + {"flight_number": "DL552", "type": "delayed", "minutes": 35, "route": "ATL→MIA", "date": "2026-05-11"}, + {"flight_number": "B6217", "type": "delayed", "minutes": 80, "route": "JFK→BOS", "date": "2026-05-11"}, + {"flight_number": "UA640", "type": "cancelled", "minutes": 0, "route": "ORD→DEN", "date": "2026-05-10"}, + {"flight_number": "AA871", "type": "delayed", "minutes": 25, "route": "LAX→DFW", "date": "2026-05-10"}, +] + + +# ── Tools ─────────────────────────────────────────────────────────────────── + +@tool +def query_airline_kpis() -> dict: + """Snapshot of operational KPIs across the fleet: on-time %, flights today, + average delay (minutes), and load factor.""" + snap = KPI_SNAPSHOT + return { + "on_time": {"value": f"{snap['on_time_pct']}%", "delta": snap["on_time_delta"]}, + "flights_today": {"value": snap["flights_today"], "delta": snap["flights_today_delta"]}, + "avg_delay": {"value": f"{snap['avg_delay_min']} min", "delta": snap["avg_delay_delta"]}, + "load_factor": {"value": f"{snap['load_factor_pct']}%", "delta": snap["load_factor_delta"]}, + } + + +@tool +def query_on_time_trend(months: int = 12) -> list[dict]: + """On-time performance over time, as percentage by month. + + Args: + months: Number of months to return (default 12). Valid: 3, 6, 12, 24. + """ + months = min(months, len(ON_TIME_TREND)) + return ON_TIME_TREND[-months:] + + +@tool +def query_flights_by_airline(airlines: list[str] | None = None) -> list[dict]: + """Daily flight counts per airline. + + Args: + airlines: Optional filter list, e.g. ["American", "United"]. All four + returned if omitted. + """ + if airlines: + return [a for a in FLIGHTS_BY_AIRLINE if a["airline"] in airlines] + return FLIGHTS_BY_AIRLINE + + +@tool +def query_recent_disruptions(limit: int = 5, type: str | None = None) -> list[dict]: + """Recent flight delays or cancellations. + + Args: + limit: Maximum entries to return (default 5). + type: Optional filter, "delayed" or "cancelled". + """ + filtered = RECENT_DISRUPTIONS + if type: + filtered = [d for d in filtered if d["type"] == type] + return filtered[:limit] + + +ALL_TOOLS = [ + query_airline_kpis, + query_on_time_trend, + query_flights_by_airline, + query_recent_disruptions, +] diff --git a/cockpit/ag-ui/json-render/python/src/graph.py b/cockpit/ag-ui/json-render/python/src/graph.py new file mode 100644 index 00000000..2f19c184 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/src/graph.py @@ -0,0 +1,325 @@ +"""Full airline-operations KPI dashboard graph for the ag-ui/json-render example. + +Port of cockpit/chat/generative-ui/python/src/graph.py, adapted so dashboard +data lands in graph state (which ag-ui-langgraph auto-emits as STATE_SNAPSHOT) +instead of get_stream_writer (which does NOT survive the ag-ui-langgraph +runtime). + +Flow: + START → agent ↔ tools → wrap_spec_into_ai → agent (loop) → emit_state → respond → generate_title → END + +`agent` is a single LLM call with all 5 tools bound (render_spec + 4 data +tools). After tools run, `wrap_spec_into_ai` post-processes — if the LLM +called render_spec, it replaces the parent AI message's content with the +spec JSON (in place via add_messages' id-match reducer) so the chat-lib's +content-classifier mounts . Then loops back to agent +until the LLM returns no tool_calls (cap _MAX_TOOL_ITERATIONS per turn). + +emit_state walks the message history for this turn and returns the tool +results as top-level state fields — ag-ui-langgraph emits them as +STATE_SNAPSHOT; the Angular chat-lib effect syncs them into the render +store, where the spec's $state bindings resolve them. +""" + +import json +import os +from pathlib import Path +from typing import Literal, Optional + +from langchain_core.messages import AIMessage, HumanMessage, SystemMessage, ToolMessage +from langchain_core.tools import tool +from langchain_openai import ChatOpenAI +from langgraph.checkpoint.memory import MemorySaver +from langgraph.graph import StateGraph, END +from langgraph.graph.message import add_messages +from langgraph.prebuilt import ToolNode +from langgraph_sdk import get_client +from typing_extensions import Annotated, TypedDict + +from .dashboard_tools import ALL_TOOLS as _DATA_TOOLS + +_PROMPT = (Path(__file__).parent.parent / "prompts" / "json-render.md").read_text() + +_MAX_TOOL_ITERATIONS = 6 + + +class DashboardState(TypedDict): + """Graph state for the airline KPI dashboard. + + Data fields are declared here so ag-ui-langgraph includes them in the + STATE_SNAPSHOT emitted to the client. The Angular sync effect maps each + top-level key k → /k in the render store, so spec $state bindings like + /on_time/value resolve correctly. + """ + messages: Annotated[list, add_messages] + on_time: Optional[dict] + flights_today: Optional[dict] + avg_delay: Optional[dict] + load_factor: Optional[dict] + on_time_trend: Optional[list] + flights_by_airline: Optional[list] + recent_disruptions: Optional[list] + + +@tool +async def render_spec(elements: dict, root: str) -> str: + """Render an interactive dashboard layout. + + Use this tool to author or update the dashboard layout. See the system + prompt for the full component catalog and state binding conventions. + + Call this tool AT MOST ONCE per turn — only when the layout needs to + be created (first turn) or restructured (follow-up structural change). + Do NOT call it again to refresh data; the data tools handle that. + + Args: + elements: Dict keyed by component id. Each value has `type`, optional + `props`, and optional `children` (list of component ids). + root: The id of the top-level component (must be a key in `elements`). + + Returns: + The spec serialized as JSON. A post-process node (wrap_spec_into_ai) + wraps this payload into the AI message content where the + chat-lib's content-classifier picks it up. + """ + return json.dumps({"elements": elements, "root": root}) + + +_ALL_TOOLS = [render_spec, *_DATA_TOOLS] + +_llm_with_tools = ChatOpenAI( + model="gpt-5", + temperature=0, + streaming=True, + reasoning_effort="minimal", +).bind_tools(_ALL_TOOLS) + +_respond_llm = ChatOpenAI(model="gpt-5-mini", temperature=0, streaming=True) + +# ── generate_title node (inline; matches Pattern D from spec +# 2026-05-19-llm-generated-labels-design.md) ────────────────────────────── + +_TITLE_PROMPT = ( + "In 3-5 words, summarize what the user is asking about. " + "Output ONLY the title — no quotes, no period, no prefix." +) +_TITLE_MODEL = "gpt-5-mini" + + +async def generate_title(state: DashboardState, config) -> dict: + """Background title generation: on the first turn, summarize the user's + intent into 3-5 words and persist to LangGraph thread metadata. + + Idempotent — skips when metadata.title already exists. Errors are + swallowed because the title is a UX nicety, never a blocker. + """ + thread_id = (config.get("configurable") or {}).get("thread_id") + if not thread_id: + return {} + sdk_url = os.environ.get("LANGGRAPH_API_URL") + try: + client = get_client(url=sdk_url) + thread = await client.threads.get(thread_id) + if (thread.get("metadata") or {}).get("title"): + return {} + first_user = next( + (m for m in state["messages"] if getattr(m, "type", None) == "human"), + None, + ) + if not first_user or not isinstance(first_user.content, str): + return {} + if first_user.content.lstrip().startswith("{"): + return {} + llm = ChatOpenAI(model=_TITLE_MODEL, temperature=0) + response = await llm.ainvoke([ + SystemMessage(content=_TITLE_PROMPT), + HumanMessage(content=first_user.content), + ]) + title = (response.content or "").strip().strip('"').strip("'")[:80] + if title: + await client.threads.update(thread_id, metadata={"title": title}) + except Exception as e: # noqa: BLE001 — title is a UX nicety; never block + print( + f"[generate_title] failed for thread {thread_id}: " + f"{type(e).__name__}: {e}", + flush=True, + ) + return {} + + +async def agent(state: DashboardState) -> dict: + """Single agentic node: LLM bound with all 5 tools.""" + messages = [SystemMessage(content=_PROMPT)] + state["messages"] + response = await _llm_with_tools.ainvoke(messages) + return {"messages": [response]} + + +def should_continue(state: DashboardState) -> Literal["tools", "finalize", "emit_state"]: + """Loop while the agent emits tool_calls, up to _MAX_TOOL_ITERATIONS + this turn. After the cap, route through `finalize` (strips orphan + tool_calls from the last AI message) before emit_state — otherwise + `respond`'s LLM call rejects the message history because the AI + message had tool_calls without matching ToolMessages.""" + last = state["messages"][-1] + if not (hasattr(last, "tool_calls") and last.tool_calls): + return "emit_state" + + iter_count = 0 + for msg in reversed(state["messages"]): + if msg.type == "human": + break + if msg.type == "ai" and getattr(msg, "tool_calls", None): + iter_count += 1 + if iter_count >= _MAX_TOOL_ITERATIONS: + return "finalize" + return "tools" + + +async def finalize(state: DashboardState) -> dict: + """Strip tool_calls from the last AI message when the iteration cap + is hit, so respond's LLM call doesn't fail with 'tool_calls without + matching ToolMessage' errors. Replaces in place via add_messages + id-match reducer.""" + last = state["messages"][-1] + if not (isinstance(last, AIMessage) and last.tool_calls): + return {} + replacement_kwargs: dict = { + "content": last.content or "(iteration cap reached)", + "additional_kwargs": last.additional_kwargs or {}, + "response_metadata": last.response_metadata or {}, + } + if getattr(last, "id", None): + replacement_kwargs["id"] = last.id + return {"messages": [AIMessage(**replacement_kwargs)]} + + +async def wrap_spec_into_ai(state: DashboardState) -> dict: + """Post-process that wraps the most recent render_spec ToolMessage + payload into the parent AI tool-call message's content (in place via + LangGraph's add_messages reducer matching by id). The chat-lib's + content-classifier then sees content starting with `{` and mounts + . + + Idempotent: if the parent AI message already has non-empty content + (already wrapped on a prior iteration), no-op. Also no-op if there + is no render_spec ToolMessage to process. + + Mirrors emit_generated_surface from examples/chat/python/src/graph.py, + adapted to loop back to `agent` instead of going to END. + """ + msgs = state["messages"] + + render_tool_msg: ToolMessage | None = None + parent_ai: AIMessage | None = None + for m in reversed(msgs): + if isinstance(m, ToolMessage) and m.name == "render_spec": + render_tool_msg = m + for prior in reversed(msgs): + if isinstance(prior, AIMessage) and prior.tool_calls: + if any(tc.get("id") == render_tool_msg.tool_call_id for tc in prior.tool_calls): + parent_ai = prior + break + break + + if render_tool_msg is None or parent_ai is None: + return {} + + existing = parent_ai.content + if isinstance(existing, str) and existing.strip(): + return {} + + payload = render_tool_msg.content if isinstance(render_tool_msg.content, str) else "" + if not payload: + return {} + + stripped = payload.strip() + if stripped.startswith("```"): + lines = stripped.split("\n") + stripped = "\n".join(line for line in lines if not line.startswith("```")).strip() + + out: list = [] + + placeholder_kwargs: dict = { + "content": "rendered", + "tool_call_id": render_tool_msg.tool_call_id, + "name": "render_spec", + } + if getattr(render_tool_msg, "id", None): + placeholder_kwargs["id"] = render_tool_msg.id + out.append(ToolMessage(**placeholder_kwargs)) + + replacement_kwargs: dict = { + "content": stripped, + "tool_calls": parent_ai.tool_calls, + "additional_kwargs": parent_ai.additional_kwargs or {}, + "response_metadata": parent_ai.response_metadata or {}, + } + if getattr(parent_ai, "id", None): + replacement_kwargs["id"] = parent_ai.id + out.append(AIMessage(**replacement_kwargs)) + + return {"messages": out} + + +async def emit_state(state: DashboardState) -> dict: + """Accumulate this turn's tool results into graph state so ag-ui-langgraph + emits them as STATE_SNAPSHOT. Walk messages in reverse to the most recent + human turn; map each known data tool to its state field(s). + query_airline_kpis returns the four nested *_card sections; merge directly.""" + updates: dict = {} + for msg in reversed(state["messages"]): + if getattr(msg, "type", None) == "tool": + try: + data = json.loads(msg.content) if isinstance(msg.content, str) else msg.content + except (json.JSONDecodeError, TypeError): + continue + if msg.name == "query_airline_kpis" and isinstance(data, dict): + updates.update(data) # {on_time:{...}, flights_today:{...}, avg_delay:{...}, load_factor:{...}} + elif msg.name == "query_on_time_trend": + updates["on_time_trend"] = data + elif msg.name == "query_flights_by_airline": + updates["flights_by_airline"] = data + elif msg.name == "query_recent_disruptions": + updates["recent_disruptions"] = data + elif getattr(msg, "type", None) == "human": + break + return updates + + +async def respond(state: DashboardState) -> dict: + """Generate a brief conversational summary of what just happened on + this turn. ALWAYS runs (no early-exit).""" + messages = [ + SystemMessage(content=( + "Provide a brief (1-2 sentence) conversational summary of what " + "you just did this turn. If you generated a dashboard, say so. " + "If you filtered data, say what you filtered. " + "Do NOT output JSON. Do NOT ask follow-up questions." + )) + ] + state["messages"] + response = await _respond_llm.ainvoke(messages) + return {"messages": [response]} + + +_builder = StateGraph(DashboardState) +_builder.add_node("agent", agent) +_builder.add_node("tools", ToolNode(_ALL_TOOLS)) +_builder.add_node("wrap_spec_into_ai", wrap_spec_into_ai) +_builder.add_node("finalize", finalize) +_builder.add_node("emit_state", emit_state) +_builder.add_node("respond", respond) +_builder.add_node("generate_title", generate_title) + +_builder.set_entry_point("agent") +_builder.add_conditional_edges("agent", should_continue) +_builder.add_edge("tools", "wrap_spec_into_ai") +_builder.add_edge("wrap_spec_into_ai", "agent") +_builder.add_edge("finalize", "emit_state") +_builder.add_edge("emit_state", "respond") +_builder.add_edge("respond", "generate_title") +_builder.add_edge("generate_title", END) + +# ag-ui-langgraph requires a checkpointer to manage thread state. +# The chat example omits it because LangGraph Cloud provides one at runtime, +# but the ag-ui-langgraph/uvicorn runtime needs it explicitly. +graph = _builder.compile(checkpointer=MemorySaver()) diff --git a/cockpit/ag-ui/json-render/python/src/index.ts b/cockpit/ag-ui/json-render/python/src/index.ts new file mode 100644 index 00000000..ffa1f8b1 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/src/index.ts @@ -0,0 +1,43 @@ +export interface CockpitCapabilityModule { + id: string; + manifestIdentity: { + product: 'ag-ui'; + section: 'core-capabilities'; + topic: 'json-render'; + page: 'overview'; + language: 'python'; + }; + title: string; + docsPath: string; + promptAssetPaths: string[]; + codeAssetPaths: string[]; + backendAssetPaths: string[]; + docsAssetPaths: string[]; + runtimeUrl?: string; + devPort?: number; +} + +export const agUiJsonRenderPythonModule: CockpitCapabilityModule = { + id: 'ag-ui-json-render-python', + manifestIdentity: { + product: 'ag-ui', + section: 'core-capabilities', + topic: 'json-render', + page: 'overview', + language: 'python', + }, + title: 'AG-UI JSON Render (Python)', + docsPath: '/docs/ag-ui/core-capabilities/json-render/overview/python', + promptAssetPaths: ['cockpit/ag-ui/json-render/python/prompts/json-render.md'], + codeAssetPaths: [ + 'cockpit/ag-ui/json-render/angular/src/app/json-render.component.ts', + 'cockpit/ag-ui/json-render/angular/src/app/app.config.ts', + ], + backendAssetPaths: [ + 'cockpit/ag-ui/json-render/python/src/graph.py', + 'cockpit/ag-ui/json-render/python/src/server.py', + ], + docsAssetPaths: [], + runtimeUrl: 'ag-ui/json-render', + devPort: 4323, +}; diff --git a/cockpit/ag-ui/json-render/python/src/server.py b/cockpit/ag-ui/json-render/python/src/server.py new file mode 100644 index 00000000..27133762 --- /dev/null +++ b/cockpit/ag-ui/json-render/python/src/server.py @@ -0,0 +1,13 @@ +# SPDX-License-Identifier: MIT +from fastapi import FastAPI +from ag_ui_langgraph import LangGraphAgent, add_langgraph_fastapi_endpoint +from .graph import graph + +agent = LangGraphAgent(name="json-render", graph=graph) +app = FastAPI(title="cockpit-ag-ui-json-render") +add_langgraph_fastapi_endpoint(app, agent, path="/agent") + + +@app.get("/ok") +def ok() -> dict: + return {"ok": True} diff --git a/cockpit/ag-ui/json-render/python/tsconfig.json b/cockpit/ag-ui/json-render/python/tsconfig.json new file mode 100644 index 00000000..e99ad38d --- /dev/null +++ b/cockpit/ag-ui/json-render/python/tsconfig.json @@ -0,0 +1,16 @@ +{ + "extends": "../../../../tsconfig.base.json", + "compilerOptions": { + "baseUrl": "../../../../", + "jsx": "react-jsx", + "outDir": "../../../../dist/out-tsc", + "declaration": true, + "emitDeclarationOnly": false, + "paths": { + "@threadplane/cockpit-registry": ["libs/cockpit-registry/src/index.ts"] + }, + "types": ["node", "react"] + }, + "include": ["src/**/*.ts"], + "exclude": ["src/**/*.spec.ts"] +} diff --git a/cockpit/ag-ui/json-render/python/uv.lock b/cockpit/ag-ui/json-render/python/uv.lock new file mode 100644 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}, + 'cockpit-ag-ui-json-render-angular': { angular: 4323, langgraph: 5323 }, 'cockpit-chat-a2ui-angular': { angular: 4511, langgraph: 5511 }, 'cockpit-chat-debug-angular': { angular: 4509, langgraph: 5509 }, 'cockpit-chat-generative-ui-angular': { angular: 4508, langgraph: 5508 }, diff --git a/docs/superpowers/plans/2026-06-06-ag-ui-json-render.md b/docs/superpowers/plans/2026-06-06-ag-ui-json-render.md new file mode 100644 index 00000000..9ab7d974 --- /dev/null +++ b/docs/superpowers/plans/2026-06-06-ag-ui-json-render.md @@ -0,0 +1,718 @@ +# AG-UI json-render Example (PR-B1) Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Ship the `ag-ui/json-render` cockpit example — a port of `chat/generative-ui` (airline KPI dashboard) onto the AG-UI runtime, with dashboard data delivered via AG-UI **shared state** (`STATE_SNAPSHOT`/`STATE_DELTA`) instead of custom stream events. + +**Architecture:** The render spec (`{root, elements}`) is emitted in AI message content (unchanged from the LangGraph example; the content classifier mounts ``). The dashboard **data** is stored in the LangGraph graph state object; `ag-ui-langgraph` auto-emits it as `STATE_SNAPSHOT`; the AG-UI reducer writes it to the agent `state` signal; and a new (small, runtime-neutral) effect in `ChatComponent` syncs that state into the render store, where the spec's `$state` bindings resolve it. This is the cockpit's first AG-UI shared-state → generative-UI demo. + +**Tech Stack:** Angular 20 (standalone, signals), `@threadplane/chat`, `@threadplane/render` (`@json-render/core`), `@threadplane/ag-ui`, Python LangGraph + `ag-ui-langgraph` (FastAPI/uvicorn/SSE), Nx, Vitest, Playwright + aimock fixtures. + +**Branch:** `claude/ag-ui-spec-examples`. **Spec:** `docs/superpowers/specs/2026-06-06-ag-ui-spec-examples-design.md`. + +**Constraint:** Make NO reference or mention of the two external projects flagged during brainstorming in code, docs, comments, or commits. Per the repo's standalone-examples rule, duplicate graph/view code into this example; never import across examples. + +**Ports:** angular 4323, langgraph (backend) 5323. + +--- + +## Key mechanism (read before starting) + +- **State shape:** the render spec binds `{"$state": "/on_time/value"}`, `/on_time_trend`, etc. `signalStateStore.update(updates)` (`libs/render/src/lib/signal-state-store.ts`) treats each **key as a JSON pointer** (`parsePointer` requires a leading `/`; a key without one resolves to the root and replaces the whole store). So: + - The backend stores data **nested** in graph state under top-level fields: `on_time: {value, delta}`, `flights_today: {...}`, `avg_delay: {...}`, `load_factor: {...}`, `on_time_trend: [...]`, `flights_by_airline: [...]`, `recent_disruptions: [...]`. (`query_airline_kpis` already returns the four `*_card` sections nested; the original `emit_state` flattened them to pointer keys — we keep them nested instead.) + - The new chat-lib effect maps each top-level state key `k` (except `messages`) to `'/' + k` and calls `store.update({ ['/'+k]: value })`, so `/on_time/value` resolves to `state.on_time.value`. +- **output schema:** `ag-ui-langgraph`'s `get_state_snapshot` filters the snapshot to the graph's output-schema keys. `StateGraph(DashboardState)` with no explicit output schema uses the full state schema as output, so all `DashboardState` fields are included. Declare every data field on `DashboardState`. +- **`get_stream_writer` does NOT work over AG-UI** (confirmed by runtime test) — do not use it; use graph state. + +## File Structure + +**Chat lib (Task 1):** +- Modify: `libs/chat/src/lib/compositions/chat/chat.component.ts` — add the state→render-store sync effect. +- Create: `libs/chat/src/lib/compositions/chat/chat-state-sync.spec.ts` — unit test for the effect. + +**Example backend `cockpit/ag-ui/json-render/python/`:** `.gitignore`, `src/__init__.py`, `pyproject.toml`, `requirements.txt`, `tsconfig.json`, `project.json`, `src/server.py`, `src/graph.py`, `src/dashboard_tools.py`, `src/index.ts`, `prompts/json-render.md`, `docs/guide.md`. + +**Example frontend `cockpit/ag-ui/json-render/angular/`:** standard app boilerplate (mirror `ag-ui/tool-views/angular/`) + `src/app/app.config.ts`, `src/app/json-render.component.ts`, `src/app/views/{stat-card,container,dashboard-grid,line-chart,bar-chart,data-grid}.component.ts` + `views/skeleton.css`, `src/index.ts`, `e2e/...`. + +**Wiring:** `cockpit/ports.mjs`, `apps/cockpit/scripts/capability-registry.ts`, `apps/cockpit/src/lib/route-resolution.ts`, `libs/cockpit-registry/src/lib/manifest.ts` (+ `manifest.spec.ts`). + +--- + +## Task 1: Chat-lib — sync agent state into the render store (TDD) + +**Files:** +- Modify: `libs/chat/src/lib/compositions/chat/chat.component.ts` (add an effect near the existing `events$` `state_update` effect at ~line 483-495) +- Create: `libs/chat/src/lib/compositions/chat/chat-state-sync.spec.ts` + +- [ ] **Step 1: Write the failing test** + +Create `libs/chat/src/lib/compositions/chat/chat-state-sync.spec.ts`: + +```ts +// SPDX-License-Identifier: MIT +import { describe, it, expect } from 'vitest'; +import { Component } from '@angular/core'; +import { TestBed } from '@angular/core/testing'; +import { views } from '@threadplane/render'; +import { Component as NgComponent, input } from '@angular/core'; +import { mockAgent, type MockAgent } from '../../testing/mock-agent'; +import { ChatComponent } from './chat.component'; +import { provideChat } from '../../provide-chat'; + +@NgComponent({ selector: 'x-stat', standalone: true, template: `{{ value() }}` }) +class XStatComponent { readonly value = input(); } + +function mount(agent: MockAgent) { + @Component({ + standalone: true, + imports: [ChatComponent], + template: ``, + }) + class Host { + readonly agent = agent; + readonly reg = views({ x_stat: XStatComponent }); + } + TestBed.configureTestingModule({ providers: [provideChat({})] }); + const f = TestBed.createComponent(Host); + f.detectChanges(); + return f; +} + +describe('ChatComponent — agent state → render store sync', () => { + it('merges agent.state() top-level keys (as JSON pointers) into the render store, excluding messages', () => { + const agent = mockAgent({ state: {} }); + const f = mount(agent); + const chat = f.debugElement.children[0].componentInstance.constructor; // not used; we assert via store + // Drive a state snapshot. + agent.state.set({ on_time: { value: 94.2, delta: '+1.1' }, messages: [{ id: 'm', role: 'assistant', content: '' }] } as Record); + f.detectChanges(); + const chatCmp = (f.nativeElement.querySelector('chat') ? f : f).componentInstance; + // Read the resolved render store off the ChatComponent instance. + const chatInstance = (f.debugElement.query((de) => de.componentInstance instanceof ChatComponent))?.componentInstance as ChatComponent; + const store = (chatInstance as unknown as { resolvedStore: () => { get(p: string): unknown } }).resolvedStore(); + expect(store.get('/on_time/value')).toBe(94.2); + expect(store.get('/on_time/delta')).toBe('+1.1'); + // messages must NOT be merged into the render store. + expect(store.get('/messages')).toBeUndefined(); + }); +}); +``` + +NOTE to implementer: the exact handle for reading `resolvedStore()` off the component in a test may need adjusting to the repo's existing test conventions (see `chat-tool-views.component.spec.ts` for how it mounts ``-adjacent components and reads internals). If reading `resolvedStore()` directly is awkward, instead assert behaviorally: register a view bound via a spec to `/on_time/value` and assert the rendered DOM shows `94.2` after `agent.state.set(...)`. Prefer whichever is robust; the REQUIREMENT is: a state snapshot's top-level keys (except `messages`) become render-store data at `/key/...` paths. + +- [ ] **Step 2: Run the test to verify it fails** + +Run: `npx nx test chat -- --run chat-state-sync` +Expected: FAIL (state not synced into the store yet). + +- [ ] **Step 3: Add the sync effect** + +In `libs/chat/src/lib/compositions/chat/chat.component.ts`, immediately AFTER the existing effect that subscribes to `agent.events$` for `state_update` (ends ~line 495), add: + +```ts + // Sync the agent STATE signal into the render store. AG-UI delivers + // backend state via STATE_SNAPSHOT/STATE_DELTA (the idiomatic shared- + // state path); the reducer writes it to agent.state(). The render + // store keys are JSON pointers, so map each top-level state key `k` + // to `/k`. Exclude `messages` (carried in the snapshot but useless to + // the render store and large). Runtime-neutral: any adapter exposing + // a `state` signal benefits; no-op when no render store is active. + effect(() => { + let agentRef: ReturnType; + try { agentRef = this.agent(); } catch { return; } + const stateFn = (agentRef as unknown as { state?: () => unknown }).state; + if (typeof stateFn !== 'function') return; + const state = stateFn.call(agentRef); + const store = this.resolvedStore(); + if (!store || state == null || typeof state !== 'object' || Array.isArray(state)) return; + const updates: Record = {}; + for (const [k, v] of Object.entries(state as Record)) { + if (k === 'messages') continue; + updates['/' + k] = v; + } + if (Object.keys(updates).length > 0) store.update(updates); + }); +``` + +(`resolvedStore` and `effect` are already in scope/imported. Confirm `effect` is imported from `@angular/core` — it is, used by the surrounding effects.) + +- [ ] **Step 4: Run the test to verify it passes** + +Run: `npx nx test chat -- --run chat-state-sync` +Expected: PASS. + +- [ ] **Step 5: Run the full chat suite (no regression)** + +Run: `npx nx test chat -- --run` +Expected: PASS (existing tests green, including the PR-A tool-views + events$ state_update path). + +- [ ] **Step 6: Build** + +Run: `npx nx build chat` +Expected: build succeeds. + +- [ ] **Step 7: Commit** + +```bash +git add libs/chat/src/lib/compositions/chat/chat.component.ts libs/chat/src/lib/compositions/chat/chat-state-sync.spec.ts +git commit -m "feat(chat): sync agent state signal into the render store + +Co-Authored-By: Claude Opus 4.8 (1M context) " +``` + +--- + +## Task 2: Vertical slice — minimal `ag-ui/json-render` proving the STATE path end-to-end + +Stand up the example with a MINIMAL graph and ONE view (StatCard), proving spec-in-content + data-in-state → STATE_SNAPSHOT → reducer → sync effect → render. Tasks 3-4 then replace the minimal graph with the full port and add the remaining views. This de-risks the novel data path before the bulk copy. + +**Files (all Create unless noted):** +- `cockpit/ag-ui/json-render/python/{.gitignore, src/__init__.py, pyproject.toml, tsconfig.json, project.json, src/server.py, src/graph.py, src/index.ts, prompts/json-render.md}` +- `cockpit/ag-ui/json-render/angular/` full boilerplate (copy from `ag-ui/tool-views/angular/`) + `src/app/app.config.ts`, `src/app/json-render.component.ts`, `src/app/views/stat-card.component.ts`, `src/app/views/skeleton.css`, `src/index.ts`, `e2e/...` +- `cockpit/ports.mjs` (add entry), `apps/cockpit/scripts/capability-registry.ts` (add entry) + +- [ ] **Step 1: Scaffold the python package + a MINIMAL graph** + +`cockpit/ag-ui/json-render/python/.gitignore`: +``` +__pycache__/ +.venv/ +``` +`cockpit/ag-ui/json-render/python/src/__init__.py`: +``` +# SPDX-License-Identifier: MIT +``` +`cockpit/ag-ui/json-render/python/pyproject.toml` (copy from `cockpit/ag-ui/tool-views/python/pyproject.toml`, change `name = "cockpit-ag-ui-json-render"`; add `langgraph-sdk` is already transitive — keep deps identical to tool-views). +`cockpit/ag-ui/json-render/python/tsconfig.json`: copy verbatim from `cockpit/ag-ui/tool-views/python/tsconfig.json`. + +`cockpit/ag-ui/json-render/python/src/graph.py` (MINIMAL slice — one render_spec emitting a single stat_card bound to `/demo/value`, and emit_state seeding `demo` into state): +```python +"""Minimal json-render slice: proves spec-in-content + data-in-state over AG-UI. + +Replaced by the full dashboard port in a later task. The agent calls +render_spec once (a single stat card bound to /demo/value); wrap_spec_into_ai +puts the spec JSON into AI message content; emit_state returns the demo data +into graph state so ag-ui-langgraph emits STATE_SNAPSHOT. +""" +import json +from pathlib import Path +from typing import Optional +from typing_extensions import TypedDict, Annotated + +from langchain_core.messages import AIMessage, SystemMessage, ToolMessage +from langchain_core.tools import tool +from langchain_openai import ChatOpenAI +from langgraph.graph import StateGraph, END +from langgraph.graph.message import add_messages +from langgraph.prebuilt import ToolNode + +_PROMPT = (Path(__file__).parent.parent / "prompts" / "json-render.md").read_text() + + +class DashboardState(TypedDict): + messages: Annotated[list, add_messages] + demo: Optional[dict] + + +@tool +async def render_spec(elements: dict, root: str) -> str: + """Render a dashboard layout. See system prompt for the catalog.""" + return json.dumps({"elements": elements, "root": root}) + + +_TOOLS = [render_spec] +_llm = ChatOpenAI(model="gpt-5-mini", temperature=0, streaming=True).bind_tools(_TOOLS) + + +async def agent(state: DashboardState) -> dict: + messages = [SystemMessage(content=_PROMPT)] + state["messages"] + return {"messages": [await _llm.ainvoke(messages)]} + + +def route(state: DashboardState) -> str: + last = state["messages"][-1] + return "tools" if getattr(last, "tool_calls", None) else "emit_state" + + +async def wrap_spec_into_ai(state: DashboardState) -> dict: + msgs = state["messages"] + tool_msg = next((m for m in reversed(msgs) + if isinstance(m, ToolMessage) and m.name == "render_spec"), None) + if tool_msg is None: + return {} + parent = next((m for m in reversed(msgs) + if isinstance(m, AIMessage) and m.tool_calls + and any(tc.get("id") == tool_msg.tool_call_id for tc in m.tool_calls)), None) + if parent is None or (isinstance(parent.content, str) and parent.content.strip()): + return {} + payload = tool_msg.content if isinstance(tool_msg.content, str) else "" + out = [ + ToolMessage(content="rendered", tool_call_id=tool_msg.tool_call_id, name="render_spec", + **({"id": tool_msg.id} if getattr(tool_msg, "id", None) else {})), + AIMessage(content=payload.strip(), tool_calls=parent.tool_calls, + **({"id": parent.id} if getattr(parent, "id", None) else {})), + ] + return {"messages": out} + + +async def emit_state(state: DashboardState) -> dict: + # Seed demo data into graph state → STATE_SNAPSHOT carries it to the client. + return {"demo": {"value": 42, "delta": "+1.0"}} + + +_b = StateGraph(DashboardState) +_b.add_node("agent", agent) +_b.add_node("tools", ToolNode(_TOOLS)) +_b.add_node("wrap_spec_into_ai", wrap_spec_into_ai) +_b.add_node("emit_state", emit_state) +_b.set_entry_point("agent") +_b.add_conditional_edges("agent", route, {"tools": "tools", "emit_state": "emit_state"}) +_b.add_edge("tools", "wrap_spec_into_ai") +_b.add_edge("wrap_spec_into_ai", "agent") +_b.add_edge("emit_state", END) +graph = _b.compile() +``` + +`cockpit/ag-ui/json-render/python/prompts/json-render.md` (minimal slice prompt): +```markdown +# Dashboard Assistant (slice) + +When the user asks for a dashboard, call `render_spec` ONCE with this exact layout and nothing else: + +{"elements":{"root":{"type":"stat_card","props":{"label":"Demo","value":{"$state":"/demo/value"},"delta":{"$state":"/demo/delta"}}}},"root":"root"} + +Do not output prose. Just call render_spec. +``` + +`cockpit/ag-ui/json-render/python/src/server.py`: +```python +# SPDX-License-Identifier: MIT +from fastapi import FastAPI +from ag_ui_langgraph import LangGraphAgent, add_langgraph_fastapi_endpoint +from .graph import graph + +agent = LangGraphAgent(name="json-render", graph=graph) +app = FastAPI(title="cockpit-ag-ui-json-render") +add_langgraph_fastapi_endpoint(app, agent, path="/agent") + + +@app.get("/ok") +def ok() -> dict: + return {"ok": True} +``` + +`cockpit/ag-ui/json-render/python/src/index.ts`: copy `cockpit/ag-ui/tool-views/python/src/index.ts` and change: topic `'json-render'`, id `'ag-ui-json-render-python'`, title `'AG-UI JSON Render (Python)'`, export name `agUiJsonRenderPythonModule`, docsPath `/docs/ag-ui/core-capabilities/json-render/overview/python`, runtimeUrl `ag-ui/json-render`, devPort 4323, asset paths under `cockpit/ag-ui/json-render/...`, codeAssetPaths pointing at `angular/src/app/json-render.component.ts` + `app.config.ts`. + +`cockpit/ag-ui/json-render/python/project.json`: copy `cockpit/ag-ui/tool-views/python/project.json`, replace `tool-views`→`json-render`, port `5322`→`5323`, smoke command asserts `agUiJsonRenderPythonModule` id `ag-ui-json-render-python` + title `AG-UI JSON Render (Python)`. + +Generate `requirements.txt`: `cd cockpit/ag-ui/json-render/python && uv lock && uv export --no-hashes -o requirements.txt && cd -` (fallback: copy from tool-views if uv unavailable; report which). + +- [ ] **Step 2: Scaffold the Angular app (StatCard view only)** + +Copy boilerplate from `cockpit/ag-ui/tool-views/angular/` (index.html, main.ts, main.cockpit.ts, styles.css, environments/*, tsconfig*, package.json, vercel.json, proxy.conf.mjs, project.json) into `cockpit/ag-ui/json-render/angular/`, swapping every `tool-views`→`json-render` and project name `cockpit-ag-ui-tool-views-angular`→`cockpit-ag-ui-json-render-angular`. In `main.ts`/`main.cockpit.ts` bootstrap `JsonRenderComponent`. `proxy.conf.mjs` uses `portsFor('cockpit-ag-ui-json-render-angular')`. + +`src/app/app.config.ts`: +```ts +// SPDX-License-Identifier: MIT +import { ApplicationConfig } from '@angular/core'; +import { provideAgent } from '@threadplane/ag-ui'; +import { provideChat } from '@threadplane/chat'; + +export const appConfig: ApplicationConfig = { + providers: [provideAgent({ url: '/agent' }), provideChat({})], +}; +``` + +`src/app/views/stat-card.component.ts` + `src/app/views/skeleton.css`: copy VERBATIM from `cockpit/chat/generative-ui/angular/src/app/views/stat-card.component.ts` and `.../views/skeleton.css`. + +`src/app/json-render.component.ts` (slice — StatCard only): +```ts +// SPDX-License-Identifier: MIT +import { Component } from '@angular/core'; +import { ChatComponent, views } from '@threadplane/chat'; +import { injectAgent } from '@threadplane/ag-ui'; +import { ExampleChatLayoutComponent } from '@threadplane/example-layouts'; +import { StatCardComponent } from './views/stat-card.component'; + +const dashboardViews = views({ stat_card: StatCardComponent }); + +@Component({ + selector: 'app-json-render', + standalone: true, + imports: [ChatComponent, ExampleChatLayoutComponent], + template: ` + + + + `, +}) +export class JsonRenderComponent { + protected readonly agent = injectAgent(); + protected readonly dashboardViews = dashboardViews; +} +``` + +`src/index.ts`: copy `cockpit/ag-ui/tool-views/angular/src/index.ts`, change topic/id/title/paths to json-render, export `agUiJsonRenderAngularModule`, id `ag-ui-json-render-angular`, title `AG-UI JSON Render (Angular)`, codeAssetPaths → json-render.component.ts + app.config.ts. + +- [ ] **Step 3: Ports + capability-registry entries (needed for proxy + e2e)** + +In `cockpit/ports.mjs`, after the `cockpit-ag-ui-tool-views-angular` line add: +```js + 'cockpit-ag-ui-json-render-angular': { angular: 4323, langgraph: 5323 }, +``` +In `apps/cockpit/scripts/capability-registry.ts`, after the `ag-ui-tool-views` entry add: +```ts + { id: 'ag-ui-json-render', product: 'ag-ui', topic: 'json-render', angularProject: 'cockpit-ag-ui-json-render-angular', port: 4323, pythonPort: 5323, pythonDir: 'cockpit/ag-ui/json-render/python' }, +``` + +- [ ] **Step 4: e2e harness + slice fixture** + +Copy `cockpit/ag-ui/tool-views/angular/e2e/{playwright.config.ts, global-setup-impl.ts, tsconfig.json}` into `cockpit/ag-ui/json-render/angular/e2e/`, swapping `tool-views`→`json-render`, project `cockpit-ag-ui-json-render-angular`, pythonCwd `cockpit/ag-ui/json-render/python`. + +`cockpit/ag-ui/json-render/angular/e2e/fixtures/json-render.json` (slice — render_spec returning the one-stat-card spec): +```json +{ + "fixtures": [ + { + "match": { "userMessage": "Show me a dashboard." }, + "response": { + "toolCalls": [ + { + "name": "render_spec", + "arguments": "{\"elements\":{\"root\":{\"type\":\"stat_card\",\"props\":{\"label\":\"Demo\",\"value\":{\"$state\":\"/demo/value\"},\"delta\":{\"$state\":\"/demo/delta\"}}}},\"root\":\"root\"}" + } + ] + } + } + ] +} +``` + +`cockpit/ag-ui/json-render/angular/e2e/json-render.spec.ts` (slice — proves the STATE-bound value renders): +```ts +// SPDX-License-Identifier: MIT +import { test, expect } from '@playwright/test'; +import { submitAndWaitForResponse } from '@threadplane-internal/e2e-harness'; + +test('json-render: render spec mounts and the STATE_SNAPSHOT-bound value renders', async ({ page }) => { + await submitAndWaitForResponse(page, 'Show me a dashboard.'); + // The render_spec content mounts ; the /demo/value + // binding (42) arrives via STATE_SNAPSHOT → agent.state() → render store. + const card = page.locator('app-stat-card'); + await expect(card.first()).toBeVisible({ timeout: 30000 }); + await expect(card.first()).toContainText('42'); +}); +``` + +- [ ] **Step 5: Run the slice e2e — THE DE-RISK GATE** + +Run: `npx nx e2e cockpit-ag-ui-json-render-angular` +Expected: PASS — `app-stat-card` renders and shows `42` (the state-bound value). + +If it FAILS: +- Inspect `cockpit/ag-ui/json-render/angular/test-results/*/error-context.md` for the DOM. +- If the card mounts but shows skeleton (no `42`): the STATE path is broken. Capture the raw SSE (start backend under aimock + curl `/agent`) to see whether `STATE_SNAPSHOT` carries `demo`. Check: (a) `demo` is a `DashboardState` field (it is) and in the output schema (default schema = full state, OK); (b) the reducer set `store.state` (it does for STATE_SNAPSHOT); (c) the Task-1 sync effect ran (agent exposes `state()` — confirm the AG-UI adapter's neutral agent has a `state` signal). Report findings; do NOT paper over with a backend hack. If a genuine adapter gap surfaces (à la PR-A), STOP and report BLOCKED with the SSE capture. +- If the card does NOT mount at all: the spec content classification failed — verify `wrap_spec_into_ai` put the spec JSON into AI content (curl the SSE; the AI message content should start with `{`). + +- [ ] **Step 6: smoke + build** + +Run: `npx nx smoke cockpit-ag-ui-json-render-python cockpit-ag-ui-json-render-angular` and `npx nx build cockpit-ag-ui-json-render-angular` +Expected: PASS. + +- [ ] **Step 7: Commit** + +```bash +git add cockpit/ag-ui/json-render/ cockpit/ports.mjs apps/cockpit/scripts/capability-registry.ts +git commit -m "feat(cockpit): ag-ui/json-render vertical slice (state-bound render proof) + +Co-Authored-By: Claude Opus 4.8 (1M context) " +``` + +--- + +## Task 3: Port the full dashboard backend graph + +Replace the minimal slice graph with the full `chat/generative-ui` graph, adapted so dashboard data lands in graph state (nested) instead of `get_stream_writer`. + +**Files:** +- Create: `cockpit/ag-ui/json-render/python/src/dashboard_tools.py` (copy verbatim from `cockpit/chat/generative-ui/python/src/dashboard_tools.py`) +- Overwrite: `cockpit/ag-ui/json-render/python/src/graph.py` +- Overwrite: `cockpit/ag-ui/json-render/python/prompts/json-render.md` (copy from `cockpit/chat/generative-ui/python/prompts/generative-ui.md`) + +- [ ] **Step 1: Copy the data tools + full prompt** + +```bash +cp cockpit/chat/generative-ui/python/src/dashboard_tools.py cockpit/ag-ui/json-render/python/src/dashboard_tools.py +cp cockpit/chat/generative-ui/python/prompts/generative-ui.md cockpit/ag-ui/json-render/python/prompts/json-render.md +``` +In `graph.py` the import must be `from src.dashboard_tools import ALL_TOOLS as _DATA_TOOLS` (matches the chat example's import style; confirm it resolves under the ag-ui-langgraph runtime — the tool-views example imports `from .graph import graph` in server.py, so relative imports work; if `from src.dashboard_tools` fails at runtime, use `from .dashboard_tools import ALL_TOOLS as _DATA_TOOLS`). Report which form you used. + +- [ ] **Step 2: Overwrite `graph.py` with the full ported graph (data → state)** + +Start from `cockpit/chat/generative-ui/python/src/graph.py` (copy it), then apply these changes: +1. Replace the `DashboardState` class with a TypedDict that declares the data fields (so they ride STATE_SNAPSHOT): +```python +from typing import Optional +from typing_extensions import TypedDict, Annotated +from langgraph.graph.message import add_messages + +class DashboardState(TypedDict): + messages: Annotated[list, add_messages] + on_time: Optional[dict] + flights_today: Optional[dict] + avg_delay: Optional[dict] + load_factor: Optional[dict] + on_time_trend: Optional[list] + flights_by_airline: Optional[list] + recent_disruptions: Optional[dict] +``` +(Note: `recent_disruptions` is a list in the spec binding but the filter tool returns an object; keep it `Optional[dict]` or `Optional[list]` to match what `query_recent_disruptions` returns — inspect `dashboard_tools.py` and match the tool's return type.) +2. Rewrite `emit_state` to RETURN nested data into state instead of `get_stream_writer`: +```python +async def emit_state(state: DashboardState) -> dict: + """Accumulate this turn's tool results into graph state so + ag-ui-langgraph emits them as STATE_SNAPSHOT. Walk messages in reverse + to the most recent human turn; map each known data tool to its state + field(s). query_airline_kpis returns the four nested *_card sections + ({on_time, flights_today, avg_delay, load_factor}); merge them directly.""" + updates: dict = {} + for msg in reversed(state["messages"]): + if getattr(msg, "type", None) == "tool": + try: + data = json.loads(msg.content) if isinstance(msg.content, str) else msg.content + except (json.JSONDecodeError, TypeError): + continue + if msg.name == "query_airline_kpis" and isinstance(data, dict): + updates.update(data) # {on_time:{...}, flights_today:{...}, avg_delay:{...}, load_factor:{...}} + elif msg.name == "query_on_time_trend": + updates["on_time_trend"] = data + elif msg.name == "query_flights_by_airline": + updates["flights_by_airline"] = data + elif msg.name == "query_recent_disruptions": + updates["recent_disruptions"] = data + elif getattr(msg, "type", None) == "human": + break + return updates +``` +Remove the `from langgraph.config import get_stream_writer` import and the writer call. Keep `render_spec`, `wrap_spec_into_ai`, `should_continue`, `finalize`, `respond`, `generate_title`, and the graph wiring identical to the chat example. (The `respond`/`generate_title` nodes stay; `generate_title` is a graceful no-op without `LANGGRAPH_API_URL`.) +3. Verify `query_airline_kpis` actually returns nested sections keyed `on_time`/`flights_today`/`avg_delay`/`load_factor` matching the spec's `$state` paths. Read `dashboard_tools.py` and confirm; if the keys differ, the `DashboardState` field names and the prompt's state-path table must agree with the tool output. Report any mismatch and align them (prefer matching the prompt's documented paths). + +- [ ] **Step 3: Verify the backend imports + smoke** + +Run: `npx nx smoke cockpit-ag-ui-json-render-python` +Expected: PASS (module shape). +If a python interpreter with deps is available: `cd cockpit/ag-ui/json-render/python && uv run python -c "from src.graph import graph; print('ok')"` → expect `ok`. If deps aren't synced, skip (smoke is the gate); report. + +- [ ] **Step 4: Commit** + +```bash +git add cockpit/ag-ui/json-render/python/ +git commit -m "feat(cockpit): port full dashboard graph to ag-ui/json-render (data in state) + +Co-Authored-By: Claude Opus 4.8 (1M context) " +``` + +--- + +## Task 4: Port the remaining dashboard view components + +Add the five remaining views and wire the full registry + welcome suggestions. + +**Files (Create — copy verbatim from `cockpit/chat/generative-ui/angular/src/app/views/`):** +- `container.component.ts`, `dashboard-grid.component.ts`, `line-chart.component.ts`, `bar-chart.component.ts`, `data-grid.component.ts` +- Overwrite: `cockpit/ag-ui/json-render/angular/src/app/json-render.component.ts` + +- [ ] **Step 1: Copy the five view components verbatim** + +```bash +for v in container dashboard-grid line-chart bar-chart data-grid; do + cp cockpit/chat/generative-ui/angular/src/app/views/$v.component.ts \ + cockpit/ag-ui/json-render/angular/src/app/views/$v.component.ts +done +``` +(Do NOT copy the `.spec.ts` files — the chat example's view specs aren't needed here and would add lint/test surface. The components have no `@threadplane/langgraph` imports; verify with `grep -rn "langgraph" cockpit/ag-ui/json-render/angular/src/app/views` → expect none.) + +- [ ] **Step 2: Wire the full views registry + welcome suggestions** + +Overwrite `cockpit/ag-ui/json-render/angular/src/app/json-render.component.ts` with the full registry (mirror `cockpit/chat/generative-ui/angular/src/app/generative-ui.component.ts` but swap `injectAgent`/`provideAgent` source to `@threadplane/ag-ui` and selector to `app-json-render`): +```ts +// SPDX-License-Identifier: MIT +import { Component } from '@angular/core'; +import { ChatComponent, ChatWelcomeSuggestionComponent, views } from '@threadplane/chat'; +import { injectAgent } from '@threadplane/ag-ui'; +import { ExampleChatLayoutComponent } from '@threadplane/example-layouts'; +import { StatCardComponent } from './views/stat-card.component'; +import { ContainerComponent } from './views/container.component'; +import { DashboardGridComponent } from './views/dashboard-grid.component'; +import { LineChartComponent } from './views/line-chart.component'; +import { BarChartComponent } from './views/bar-chart.component'; +import { DataGridComponent } from './views/data-grid.component'; + +const dashboardViews = views({ + stat_card: StatCardComponent, + container: ContainerComponent, + dashboard_grid: DashboardGridComponent, + line_chart: LineChartComponent, + bar_chart: BarChartComponent, + data_grid: DataGridComponent, +}); + +const WELCOME_SUGGESTIONS = [ + { label: 'Airline operations dashboard', value: 'Show me a dashboard of airline operations.' }, + { label: 'Filter to cancelled flights', value: 'Filter to only the cancelled flights.' }, +] as const; + +@Component({ + selector: 'app-json-render', + standalone: true, + imports: [ChatComponent, ChatWelcomeSuggestionComponent, ExampleChatLayoutComponent], + template: ` + + +
+ @for (s of suggestions; track s.value) { + + } +
+ + + `, +}) +export class JsonRenderComponent { + protected readonly agent = injectAgent(); + protected readonly dashboardViews = dashboardViews; + protected readonly suggestions = WELCOME_SUGGESTIONS; + protected send(text: string): void { void this.agent.submit({ message: text }); } +} +``` + +- [ ] **Step 3: Build + verify no langgraph imports leaked** + +Run: `grep -rn "@threadplane/langgraph" cockpit/ag-ui/json-render/angular/src` → expect NO matches. +Run: `npx nx build cockpit-ag-ui-json-render-angular` → expect PASS (within budget). + +- [ ] **Step 4: Commit** + +```bash +git add cockpit/ag-ui/json-render/angular/ +git commit -m "feat(cockpit): full dashboard views for ag-ui/json-render + +Co-Authored-By: Claude Opus 4.8 (1M context) " +``` + +--- + +## Task 5: Full e2e fixtures + assertion + +Replace the slice fixture/spec with the full dashboard flow, asserting a state-bound KPI value renders. + +**Files:** +- Overwrite: `cockpit/ag-ui/json-render/angular/e2e/fixtures/json-render.json` +- Overwrite: `cockpit/ag-ui/json-render/angular/e2e/json-render.spec.ts` +- Create: `cockpit/ag-ui/json-render/angular/e2e/manual/json-render.manual.ts` + +- [ ] **Step 1: Port the dashboard fixtures** + +Overwrite `fixtures/json-render.json` based on `cockpit/chat/generative-ui/angular/e2e/fixtures/c-generative-ui.json` (the `render_spec` tool-call fixture for "Show me a dashboard of airline operations." — copy its `arguments` spec JSON verbatim). The full agent loop also makes data-tool calls and a `respond` text call; add fixture entries so aimock can serve each LLM call in the turn. To determine the exact set, run the e2e once (Step 3); for each "no fixture matched" error, add an entry keyed on the reported `userMessage`/`responseFormat`/`hasToolResult`. Model the multi-call structure on the chat example's fixtures and the tool-views two-stage pattern (a `hasToolResult: true` text entry for the final `respond`). + +- [ ] **Step 2: Write the full assertion spec** + +Overwrite `e2e/json-render.spec.ts`: +```ts +// SPDX-License-Identifier: MIT +import { test, expect } from '@playwright/test'; +import { submitAndWaitForResponse } from '@threadplane-internal/e2e-harness'; + +test('json-render: dashboard renders with STATE_SNAPSHOT-bound KPI values', async ({ page }) => { + await submitAndWaitForResponse(page, 'Show me a dashboard of airline operations.'); + // Spec content mounts the GenUI tree; the KPI numbers arrive via + // STATE_SNAPSHOT (graph state → agent.state() → render store). + await expect(page.locator('chat-generative-ui').first()).toBeVisible({ timeout: 30000 }); + await expect(page.locator('chat-generative-ui')).not.toHaveCount(0); + // At least one stat card shows a non-skeleton value (proves the data path). + await expect(page.locator('app-stat-card .stat-card__value').first()).toBeVisible({ timeout: 30000 }); + await expect(page.locator('app-stat-card .stat-card__value').first()).not.toBeEmpty(); +}); +``` + +`e2e/manual/json-render.manual.ts`: copy `cockpit/ag-ui/tool-views/angular/e2e/manual/tool-views.manual.ts`, swap names/ports (5323/4323, selector `app-json-render`, prompt "Show me a dashboard of airline operations."). + +- [ ] **Step 3: Run the full e2e** + +Run: `npx nx e2e cockpit-ag-ui-json-render-angular` +Expected: PASS — the dashboard mounts and at least one stat card shows a non-empty (state-bound) value. Iterate the fixture set per Step 1 until green. If the cards mount but stay skeleton, the state path regressed — debug per Task 2 Step 5. + +- [ ] **Step 4: Commit** + +```bash +git add cockpit/ag-ui/json-render/angular/e2e/ +git commit -m "test(cockpit): full ag-ui/json-render e2e (state-bound dashboard) + +Co-Authored-By: Claude Opus 4.8 (1M context) " +``` + +--- + +## Task 6: Complete registry/manifest wiring + final verification + +**Files:** +- Modify: `apps/cockpit/src/lib/route-resolution.ts` +- Modify: `libs/cockpit-registry/src/lib/manifest.ts` (+ `manifest.spec.ts`) +- Add python `scope:cockpit-smoke` tag + smoke target already present (verify). + +- [ ] **Step 1: route-resolution module registration** + +In `apps/cockpit/src/lib/route-resolution.ts`, add after the `agUiToolViewsPythonModule` import: +```ts +import { agUiJsonRenderPythonModule } from '../../../../cockpit/ag-ui/json-render/python/src/index'; +``` +and add `agUiJsonRenderPythonModule,` after `agUiToolViewsPythonModule,` in the `capabilityModules` array. + +- [ ] **Step 2: manifest topic + spec count** + +In `libs/cockpit-registry/src/lib/manifest.ts`, change the ag-ui core-capabilities list to: +```ts + 'core-capabilities': ['streaming', 'interrupts', 'tool-views', 'json-render'], +``` +In `libs/cockpit-registry/src/lib/manifest.spec.ts`, add `'json-render'` to the ag-ui expected-topics list and bump the total capability count by 1 (mirror the tool-views change from PR-A — find the `toHaveLength(N)` and `expectedTopics['ag-ui']` entries). + +- [ ] **Step 3: Run all gates** + +Run each and confirm green: +- `npx nx test cockpit -- --run cockpit-e2e-wiring route-resolution` → PASS (registry/ports/proxy aligned; new module resolves). +- `npx nx test cockpit-registry -- --run` → PASS (manifest valid; count matches). +- `npx nx test chat -- --run` → PASS (state-sync effect + existing). +- `npx nx run-many -t lint -p chat cockpit cockpit-registry cockpit-ag-ui-json-render-angular cockpit-ag-ui-json-render-python` → PASS. +- `npx nx run-many -t smoke -p cockpit-ag-ui-json-render-python cockpit-ag-ui-json-render-angular` → PASS. +- `npx nx e2e cockpit-ag-ui-json-render-angular` → PASS (final confirmation). + +- [ ] **Step 4: Forbidden-reference scan** + +Run a forbidden-reference scan for the two flagged external project names across the new artifacts (`cockpit/ag-ui/json-render`, the new chat-lib spec file, and this plan). +Expected: NO matches. + +- [ ] **Step 5: Commit** + +```bash +git add apps/cockpit/src/lib/route-resolution.ts libs/cockpit-registry/src/lib/manifest.ts libs/cockpit-registry/src/lib/manifest.spec.ts +git commit -m "feat(cockpit): register ag-ui/json-render capability (route, manifest) + +Co-Authored-By: Claude Opus 4.8 (1M context) " +``` + +--- + +## Self-Review + +**Spec coverage:** +- Data via AG-UI shared state (STATE_SNAPSHOT) → Task 3 (emit_state returns nested state) + Task 1 (sync effect). ✓ +- Small runtime-neutral chat-lib effect + unit test → Task 1. ✓ +- e2e asserts a state-bound value → Task 2 (slice: `42`) + Task 5 (full: non-empty stat value). ✓ +- Vertical-slice-first de-risk → Task 2 (the gate). ✓ +- Full port of generative-ui graph + 6 views + airline domain → Tasks 3-4. ✓ +- Wiring (ports, capability-registry, route-resolution, manifest) → Tasks 2 (ports+registry) + 6 (route+manifest). ✓ +- smoke + e2e + manual harness → Tasks 2/5/6. ✓ + +**Placeholder scan:** Verbatim copies are specified with exact source paths + edits (legitimate for duplication). The one judgement call — the exact fixture set for the multi-call full agent (Task 5 Step 1) — is handled by an explicit iterate-until-green loop keyed on aimock's "no fixture matched" errors, because the precise call sequence depends on the ported prompt's behavior under aimock and can't be enumerated blind. + +**Type consistency:** `DashboardState` field names (`on_time`, `flights_today`, `avg_delay`, `load_factor`, `on_time_trend`, `flights_by_airline`, `recent_disruptions`) match the spec's `$state` paths (`/on_time/value`, …) and the sync effect's `/`-prefixing (Task 1). `emit_state` returns those exact keys (Task 3). The slice uses `demo`/`/demo/value` consistently across graph, prompt, fixture, and assertion (Task 2). Module export names (`agUiJsonRender{Python,Angular}Module`), ids (`ag-ui-json-render-{python,angular}`), and titles are consistent across index.ts, project.json smoke, capability-registry, and route-resolution. diff --git a/docs/superpowers/specs/2026-06-06-ag-ui-spec-examples-design.md b/docs/superpowers/specs/2026-06-06-ag-ui-spec-examples-design.md new file mode 100644 index 00000000..e70f6119 --- /dev/null +++ b/docs/superpowers/specs/2026-06-06-ag-ui-spec-examples-design.md @@ -0,0 +1,142 @@ +# AG-UI Backend-Spec Examples (json-render + a2ui) — Design + +**Date:** 2026-06-06 +**Status:** Design — pending review +**Scope:** PR-B of the generative-UI effort. Two cockpit examples that demonstrate **backend-sent UI specs over AG-UI**: `ag-ui/json-render` (agent emits a json-render spec in message content) and `ag-ui/a2ui` (agent emits an A2UI envelope in message content). These are the AG-UI counterparts to the existing LangGraph examples `chat/generative-ui` and `chat/a2ui`, completing the trio started by `ag-ui/tool-views` (PR-A, shipped in #600). + +**Delivery:** one spec (this document) → **two PRs**. PR-B1 = `ag-ui/json-render`; PR-B2 = `ag-ui/a2ui`. json-render lands first. + +## Problem + +The cockpit now has three AG-UI examples (`streaming`, `interrupts`, `tool-views`). PR-A demonstrated the **frontend-owned, tool-name-keyed** rendering pattern (`tool-views`). The two remaining canonical patterns are **backend-sent specs**, already demonstrated over the LangGraph runtime but not over AG-UI: + +- **json-render:** the agent authors a render spec (`{ root, elements }`) and delivers it as the AI message's content; the chat lib's content classifier mounts `` against a `views` registry. +- **A2UI:** the agent emits an A2UI envelope (a `---a2ui_JSON---`-prefixed JSONL blob) as the AI message's content; the classifier mounts `` against a catalog. + +Demonstrating both over AG-UI completes the "same UI capability, AG-UI runtime instead of LangGraph" story the cockpit already tells for `streaming`. + +## Key architectural finding (why this is example-only work) + +**UI spec delivery** requires no changes; **dashboard data delivery for json-render** does (one small, runtime-neutral chat-lib enhancement). Verified during exploration + research: + +1. **The content classifier is adapter-agnostic** (`libs/chat/src/lib/streaming/content-classifier.ts`). It classifies any AI message content string by its first non-whitespace character: `{` → `json-render`, the `---a2ui_JSON---` prefix → `a2ui`, otherwise `markdown`. It does not know or care which runtime produced the string. +2. **The AG-UI reducer preserves raw content intact** (`libs/ag-ui/src/lib/reducer.ts`): `TEXT_MESSAGE_CONTENT` accumulates the delta onto `message.content` verbatim, and `MESSAGES_SNAPSHOT` bridges `m.content` through unchanged. So a backend that emits spec JSON or an A2UI envelope as message content reaches the classifier exactly as sent. +3. **Both runtimes share the same `` composition** — `provideAgent({...})` selects the adapter; `provideChat({})` and the `[views]` input are identical. + +So the **spec/envelope** travels fine over AG-UI with no changes. The catch is the json-render dashboard's **data** (the numbers bound into the spec's `$state` props). The LangGraph `chat/generative-ui` backend pushes that data via `get_stream_writer()` custom stream events — and a runtime test confirmed those **do not survive `ag-ui-langgraph`** (it consumes `astream_events`, where stream-writer payloads never appear; the data is silently dropped). A2UI is unaffected (its data model lives inside the `---a2ui_JSON---` envelope in message content). + +The idiomatic AG-UI fix is to deliver dashboard data as **agent shared state**: AG-UI's first-class `STATE_SNAPSHOT` / `STATE_DELTA` events. `ag-ui-langgraph` auto-emits `STATE_SNAPSHOT` from the graph's state object (filtered to the graph's `output_schema` keys) at node boundaries, and the AG-UI reducer already maps `STATE_SNAPSHOT`/`STATE_DELTA` into the agent `state` signal (`reducer.ts:203-216`). The **one missing link** is that the `` composition does not currently feed `agent.state()` into the render store — it only feeds it from `events$` `state_update` custom events (`chat.component.ts:489-494`). So `ag-ui/json-render` adds a small, runtime-neutral effect that syncs the agent state signal into the render store. This makes `ag-ui/json-render` the cockpit's first demonstration of AG-UI's shared-state → generative-UI mechanism. + +Net: `ag-ui/json-render` (PR-B1) = backend graph (data in state) + the small chat-lib state→store effect + Angular wiring + registry. `ag-ui/a2ui` (PR-B2) = purely example work (no lib change). + +## Constraint + +Per the repo owner: make **no reference or mention of the two external projects flagged during brainstorming** in code, docs, comments, or commits. Describe all patterns generically. + +Per the repo's **standalone-examples** rule: duplicate the graph/views code from the `chat/*` siblings into each new example. Never import or share example code across examples. + +## Non-goals + +- Any `libs/ag-ui` adapter change (the reducer already supports `STATE_SNAPSHOT`/`STATE_DELTA`). +- Any chat-lib change beyond the single state→render-store sync effect needed by json-render. +- New rendering capabilities or new `views`/catalog primitives. +- Changing the existing LangGraph `chat/generative-ui` or `chat/a2ui` examples. +- Predictive/optimistic mid-run state (`STATE_DELTA` from streaming tool args) — out of scope; the backend emits authoritative state at node boundaries only. +- Fresh domains — the ports reuse the existing airline domains verbatim (decided). + +--- + +## PR-B1: `ag-ui/json-render` (ports 4323 / 5323) + +A port of `chat/generative-ui` onto the AG-UI runtime, with the data channel switched from custom stream events to **agent shared state** (the idiomatic AG-UI mechanism). + +### Backend — `cockpit/ag-ui/json-render/python/` + +Duplicate `cockpit/chat/generative-ui/python/src/` graph code, with one substantive change to the data channel: +- **Copied verbatim:** the `render_spec` tool (returns `{"elements": ..., "root": ...}` JSON), the four airline data-tools, the `wrap_spec_into_ai` post-processor (puts spec JSON in AI message content via the id-match reducer), the continuation loop (`agent ↔ tools → wrap_spec_into_ai → agent`), `finalize`, `respond`, and `generate_title` nodes, the system prompt, and the `dashboard_tools` module — copied into this example's `src/`. +- **Changed — `emit_state`:** instead of `get_stream_writer()({"name":"state_update","data":...})` (which `ag-ui-langgraph` silently drops), the node **returns the accumulated data into graph state** so `ag-ui-langgraph` auto-emits it as `STATE_SNAPSHOT`. This requires: (a) `DashboardState` declares explicit typed fields for the data the spec binds to (e.g. `on_time_trend`, `flights_by_airline`, `recent_disruptions`, and the KPI sections) rather than being bare `MessagesState`; (b) those fields are in the graph's **output schema** (ag-ui-langgraph's `get_state_snapshot` filters the snapshot to output-schema keys, so a field not in the schema is dropped from the wire); (c) `emit_state` returns a dict of those fields (a state update) instead of calling the stream writer. The render spec's `$state` bindings (`/on_time_trend`, `/kpis/...`, etc.) must match these state field paths — keep the prompt's binding convention and the state field layout aligned. No tool result shape changes; only where the accumulated data lands. + +Swap the server: `server.py` uses +```python +from ag_ui_langgraph import LangGraphAgent, add_langgraph_fastapi_endpoint +from .graph import graph +agent = LangGraphAgent(name="json-render", graph=graph) +app = FastAPI(title="cockpit-ag-ui-json-render") +add_langgraph_fastapi_endpoint(app, agent, path="/agent") +``` +Plus the standard `/ok` route, `pyproject.toml`, `requirements.txt` (generated via `uv export`), `tsconfig.json`, `.gitignore`, `src/__init__.py`, `src/index.ts` (capability module `agUiJsonRenderPythonModule`), `prompts/json-render.md`, `docs/guide.md`, and `project.json` (build + serve on 5323 + smoke + scope tags). + +`generate_title` calls the LangGraph SDK against `LANGGRAPH_API_URL`. Under the ag-ui-langgraph runtime that env var is absent, and the existing node already swallows errors as a UX nicety — so title generation is a graceful no-op here. Keep the node for fidelity; no special handling needed. + +### Chat-lib change — sync agent state into the render store + +The `` composition currently feeds the render store only from `events$` `state_update` events (`chat.component.ts:489-494`); it never reads the agent `state` signal. Add one small, runtime-neutral effect to `ChatComponent`: when a render store is active (i.e. `resolvedStore()` is defined — which is the case whenever `views` is set) and the agent exposes a `state` signal, merge that state into the render store via `store.update(...)`. The agent `state` signal is on the neutral `Agent` contract and is populated by both adapters (the LangGraph adapter's neutral state projection and the AG-UI reducer's `STATE_SNAPSHOT`/`STATE_DELTA` handlers), so this benefits both runtimes and closes a latent gap. Exclude `messages` from the merged slice (the snapshot carries the message list, which the render store has no use for and which would bloat it on every token). This is the only shared-library change in PR-B; it ships with a unit test (drive a mock agent's `state` signal → assert the render store updates and that the `events$` path still works). + +### Frontend — `cockpit/ag-ui/json-render/angular/` + +Mirror `ag-ui/tool-views/angular/` structure; duplicate the dashboard view components and registry from `chat/generative-ui/angular/`: +- `src/app/` view components: StatCard, Container, DashboardGrid, LineChart, BarChart, DataGrid (copied from the chat example). +- Root component `json-render.component.ts` (selector `app-json-render`): `injectAgent()`, `views({ stat_card: StatCardComponent, ... })`, template `` inside ``. +- `app.config.ts`: `provideAgent({ url: '/agent' })` + `provideChat({})`. +- Standard boilerplate copied from `ag-ui/tool-views/angular/` (index.html, main.ts, main.cockpit.ts, environments, styles.css, tsconfig\*, package.json, vercel.json, proxy.conf.mjs routing `/agent` via `portsFor('cockpit-ag-ui-json-render-angular')`, `src/index.ts` capability module `agUiJsonRenderAngularModule`, project.json with build/serve/smoke/e2e). + +### e2e — `cockpit/ag-ui/json-render/angular/e2e/` + +Mirror the `ag-ui/tool-views` harness (`createAgUiGlobalSetup`, playwright.config, tsconfig). Port `chat/generative-ui`'s aimock fixtures into this example's `fixtures/json-render.json`, adapted to the AG-UI flow: the dashboard agent makes multiple LLM calls per turn (tool calls + `render_spec` + respond; structured-vs-text per call), so the fixture set must cover each — matching on `userMessage` + `responseFormat`/`hasToolResult` exactly as the chat example's fixtures do. The spec (`json-render.spec.ts`) submits the dashboard prompt and asserts the rendered dashboard surface shows a **state-bound value** (e.g. a known KPI number that arrives via `STATE_SNAPSHOT`, not just spec structure) — this is the gate that proves the full data path (spec content → classifier → render; data → graph state → `STATE_SNAPSHOT` → reducer → state-sync effect → render store) works end-to-end over AG-UI. Include a `manual/json-render.manual.ts` record harness documenting how to recapture fixtures against a live key. + +--- + +## PR-B2: `ag-ui/a2ui` (ports 4324 / 5324) + +A faithful port of `chat/a2ui` onto the AG-UI runtime. + +### Backend — `cockpit/ag-ui/a2ui/python/` + +Duplicate `cockpit/chat/a2ui/python/src/` graph code verbatim: +- The `A2UI_PREFIX` (`---a2ui_JSON---`) constant and `_wrap_envelopes(spec, root_id)` that emits the `dataModelUpdate` / `surfaceUpdate` / `beginRendering` JSONL blob into AI message content. +- The Pydantic surface schemas (BookingForm, FlightResults, Confirmation) and `_emit_with_retry` structured-output helper (`method="function_calling"`, retry on ValidationError). +- The multi-node flow (`build_form` → `search_flights` → `confirm_booking`), each node returning `{"messages": [AIMessage(content=_wrap_envelopes(spec))]}` — copied as-is. + +Swap the server to `LangGraphAgent(name="a2ui", graph=graph)` + `add_langgraph_fastapi_endpoint(app, agent, "/agent")`, plus the standard scaffolding (pyproject/requirements/tsconfig/__init__/index.ts `agUiA2uiPythonModule`/prompts/docs/project.json on 5324). + +### Frontend — `cockpit/ag-ui/a2ui/angular/` + +Mirror `ag-ui/tool-views/angular/`; root component `a2ui.component.ts` (selector `app-a2ui`) passes the stock catalog: `views = a2uiBasicCatalog()`, template ``. `app.config.ts` = `provideAgent({ url: '/agent' })` + `provideChat({})`. Standard boilerplate + `src/index.ts` capability module `agUiA2uiAngularModule` + proxy via `portsFor('cockpit-ag-ui-a2ui-angular')`. + +### e2e — `cockpit/ag-ui/a2ui/angular/e2e/` + +Mirror the harness; port `chat/a2ui`'s fixtures to `fixtures/a2ui.json` (structured-output entries match on `responseFormat: "json_schema"` + the booking userMessage, returning the JSON surface content). The spec (`a2ui.spec.ts`) submits a booking prompt and asserts the rendered A2UI surface (e.g. a known field/label from the booking form) appears. Include `manual/a2ui.manual.ts`. + +--- + +## Wiring (per PR) + +Each PR adds, for its example: +- `cockpit/ports.mjs`: `cockpit-ag-ui-json-render-angular: { angular: 4323, langgraph: 5323 }` (B1); `cockpit-ag-ui-a2ui-angular: { angular: 4324, langgraph: 5324 }` (B2). +- `apps/cockpit/scripts/capability-registry.ts`: `{ id: 'ag-ui-json-render', product: 'ag-ui', topic: 'json-render', angularProject: 'cockpit-ag-ui-json-render-angular', port: 4323, pythonPort: 5323, pythonDir: 'cockpit/ag-ui/json-render/python' }` (B1); analogous `ag-ui-a2ui` at 4324/5324 (B2). No `graphName` (ag-ui convention). +- `apps/cockpit/src/lib/route-resolution.ts`: import + register `agUiJsonRenderPythonModule` (B1) / `agUiA2uiPythonModule` (B2) in `capabilityModules`. +- `libs/cockpit-registry/src/lib/manifest.ts`: append to the ag-ui core-capabilities list — `[…, 'tool-views', 'json-render']` (B1), then `[…, 'json-render', 'a2ui']` (B2). Update `manifest.spec.ts` expected-topic list + capability count accordingly. +- The Railway `deployments/ag-ui-dev/` generator picks new ag-ui caps from the registry automatically — no manual prod-deploy wiring. + +## Error handling + +- Backend emits malformed spec/envelope → the classifier falls back to rendering the content as markdown (existing behavior); the e2e fixtures are deterministic so this path isn't exercised in CI. +- `generate_title` (json-render) with no `LANGGRAPH_API_URL` → graceful no-op (existing error-swallowing node). +- A2UI structured-output validation failure → `_emit_with_retry` retries up to its cap (copied behavior); fixtures return valid specs. + +## Testing + +Per example: +- **smoke**: module-shape check (`agUi{JsonRender,A2ui}{Python,Angular}Module` id + title), `scope:cockpit-smoke` tag on python. +- **e2e**: Playwright via `createAgUiGlobalSetup` (uvicorn under aimock replay + Angular dev server), asserting the rendered surface (and, for json-render, a state-bound data value). Fixtures ported from the corresponding `chat/*` example and adapted to AG-UI's per-LLM-call matching. +- **manual record harness** per example for fixture recapture. +- **chat-lib unit test (PR-B1 only)**: a vitest spec for the new state→render-store sync effect — drive a mock agent's `state` signal (with and without a render store / `views`), assert the render store receives the merged state (minus `messages`) and that the existing `events$` `state_update` path is unaffected. +- A2UI (PR-B2): no new lib unit tests (the content-classifier + envelope path is already covered and verified over AG-UI). + +## Risks + +- **State-path correctness (json-render)** is the chief risk and the reason for Approach STATE: the dashboard data must (a) land in graph state fields that are (b) included in the graph's **output schema** (else `ag-ui-langgraph`'s `get_state_snapshot` filters them out), and (c) match the spec's `$state` binding paths, then (d) reach the render store via the new sync effect. A mismatch at any step renders an empty dashboard. The implementation plan front-loads a thin end-to-end vertical slice (minimal state field → STATE_SNAPSHOT → one stat card) before porting all six view components, so this path is proven early. The e2e asserts a state-bound value, not just spec structure. +- **Render-store merge hygiene**: the state snapshot includes `messages`; the sync effect must exclude it so the render store isn't bloated per-token. Covered by the chat-lib unit test. +- **Fixture surface**: the full generative-ui agent makes several LLM calls per turn (tool loop + `render_spec` + respond + title) and a2ui uses structured output with retry, so the aimock fixture set is non-trivial. Porting the existing `chat/*` fixtures plus the manual record harness mitigates this; splitting into two PRs keeps each fixture surface reviewable. +- **Standalone duplication drift**: the ported graphs duplicate the `chat/*` graphs. Intentional per the repo rule; the two copies can diverge over time. Acceptable — the examples are illustrative snapshots, not shared infrastructure. +- **Title-node env coupling** (json-render): relies on the existing node swallowing the missing-`LANGGRAPH_API_URL` error. Verified by reading the node; the e2e confirms the turn still completes. diff --git a/libs/chat/src/lib/compositions/chat/chat-state-sync.spec.ts b/libs/chat/src/lib/compositions/chat/chat-state-sync.spec.ts new file mode 100644 index 00000000..ad747e9c --- /dev/null +++ b/libs/chat/src/lib/compositions/chat/chat-state-sync.spec.ts @@ -0,0 +1,134 @@ +// SPDX-License-Identifier: MIT +/** + * Tests for the agent.state() → render store sync effect in ChatComponent. + * + * AG-UI delivers backend state via STATE_SNAPSHOT / STATE_DELTA events. + * The AG-UI reducer writes them to agent.state(). The chat composition must + * mirror that signal into the signalStateStore so json-render specs bound via + * $state JSON-pointer paths resolve correctly. + * + * Test approach: instantiate the real ChatComponent inside runInInjectionContext, + * set signal inputs via the SIGNAL writer (the same pattern used by the existing + * "welcome branch" and "showModelPicker" tests), then read the real + * resolvedStore() after flushing effects. This exercises the actual effect + * wired in the constructor — not a re-implementation — so the test fails when + * the effect is absent and passes once it is present. + */ +import { describe, it, expect, beforeEach } from 'vitest'; +import { TestBed } from '@angular/core/testing'; +import { Injector, runInInjectionContext } from '@angular/core'; +import { views } from '@threadplane/render'; +import { mockAgent, type MockAgent } from '../../testing/mock-agent'; +import { ChatComponent } from './chat.component'; + +// ── helper: write into an InputSignal by reaching its SIGNAL node ─────────── +// Same pattern as the "welcome branch" and "showModelPicker" tests above. +function setSignalInput(sig: unknown, value: T): void { + const obj = sig as Record; + const signalSymbol = Object.getOwnPropertySymbols(obj).find( + (s) => s.description === 'SIGNAL', + ); + if (!signalSymbol) throw new Error('Could not find SIGNAL symbol on input'); + const node = obj[signalSymbol] as { + applyValueToInputSignal?: (n: unknown, v: T) => void; + value?: T; + }; + if (typeof node.applyValueToInputSignal === 'function') { + node.applyValueToInputSignal(node, value); + } else { + node.value = value; + } +} + +// A minimal views registry — the content doesn't matter; its mere presence +// makes resolvedStore() return the component's internal signalStateStore. +const testViews = views({}); + +describe('ChatComponent — agent state → render store sync', () => { + let agent: MockAgent; + let injector: Injector; + + beforeEach(() => { + TestBed.configureTestingModule({ imports: [ChatComponent] }); + agent = mockAgent(); + injector = TestBed.inject(Injector); + }); + + it('maps top-level state keys as JSON-pointer paths into the render store', () => { + runInInjectionContext(injector, () => { + const comp = new ChatComponent(); + // Set the required [agent] input and optional [views] so resolvedStore() + // returns the internal signalStateStore (not undefined). + setSignalInput(comp.agent, agent); + setSignalInput(comp.views, testViews); + + // Confirm the store is active before driving state. + const store = comp.resolvedStore(); + expect(store).toBeTruthy(); + + // Drive a STATE_SNAPSHOT via the agent state signal. + agent.state.set({ + on_time: { value: 94.2, delta: '+1.1' }, + messages: [{ role: 'assistant', content: 'hello' }], + }); + + // Flush all pending effects (including the state→store sync effect). + TestBed.flushEffects(); + + // Core assertion: pointer paths under /on_time are present in the store. + expect(store!.get('/on_time/value')).toBe(94.2); + expect(store!.get('/on_time/delta')).toBe('+1.1'); + + // messages must be excluded — it's large and meaningless to the render store. + expect(store!.get('/messages')).toBeUndefined(); + }); + }); + + it('updates the store reactively when state changes a second time (STATE_DELTA)', () => { + runInInjectionContext(injector, () => { + const comp = new ChatComponent(); + setSignalInput(comp.agent, agent); + setSignalInput(comp.views, testViews); + const store = comp.resolvedStore()!; + + agent.state.set({ on_time: { value: 90.0, delta: '-2.0' } }); + TestBed.flushEffects(); + expect(store.get('/on_time/value')).toBe(90.0); + + // Second update — simulates a STATE_DELTA arriving. + agent.state.set({ on_time: { value: 91.5, delta: '+1.5' } }); + TestBed.flushEffects(); + expect(store.get('/on_time/value')).toBe(91.5); + expect(store.get('/on_time/delta')).toBe('+1.5'); + }); + }); + + it('is a no-op when agent has no state signal (non-AG-UI agents)', () => { + runInInjectionContext(injector, () => { + const comp = new ChatComponent(); + // Agent without a state property (duck-typed absent). + const bareAgent = { ...agent, state: undefined } as unknown as MockAgent; + setSignalInput(comp.agent, bareAgent); + setSignalInput(comp.views, testViews); + const store = comp.resolvedStore()!; + + TestBed.flushEffects(); + // Store must remain empty — no writes from a stateless agent. + expect(store.getSnapshot()).toEqual({}); + }); + }); + + it('is a no-op when no views are bound (resolvedStore returns undefined)', () => { + runInInjectionContext(injector, () => { + const comp = new ChatComponent(); + // Only set [agent]; no [views] → resolvedStore() returns undefined. + setSignalInput(comp.agent, agent); + + agent.state.set({ on_time: { value: 99 } }); + TestBed.flushEffects(); + + // resolvedStore is undefined — no crash, no store to read. + expect(comp.resolvedStore()).toBeUndefined(); + }); + }); +}); diff --git a/libs/chat/src/lib/compositions/chat/chat.component.ts b/libs/chat/src/lib/compositions/chat/chat.component.ts index 6d2690cd..df1de3d5 100644 --- a/libs/chat/src/lib/compositions/chat/chat.component.ts +++ b/libs/chat/src/lib/compositions/chat/chat.component.ts @@ -494,6 +494,30 @@ export class ChatComponent { }); }); + // Sync the agent STATE signal into the render store. AG-UI delivers + // backend data as agent shared state (STATE_SNAPSHOT/STATE_DELTA); other + // adapters expose graph state via the same `state()` signal. The render + // store keys are JSON pointers, so map each top-level state key `k` to + // `/k`. Exclude `messages` (carried in the snapshot but irrelevant to the + // render store and large). Fires for any adapter whose `state()` carries + // non-message keys; no-op when no render store is active. Coexists with + // the events$ `state_update` path above (both merge into the same store). + effect(() => { + let agentRef: ReturnType; + try { agentRef = this.agent(); } catch { return; } + const stateFn = (agentRef as unknown as { state?: () => unknown }).state; + if (typeof stateFn !== 'function') return; + const state = stateFn.call(agentRef); + const store = this.resolvedStore(); + if (!store || state == null || typeof state !== 'object' || Array.isArray(state)) return; + const updates: Record = {}; + for (const [k, v] of Object.entries(state as Record)) { + if (k === 'messages') continue; + updates['/' + k] = v; + } + if (Object.keys(updates).length > 0) store.update(updates); + }); + // Spec 4: flip CHAT_LIFECYCLE.firstMessageSent when the agent's stream // starts, regardless of submit path (input-bound, programmatic, suggestion- // click). Sticky — guarded so we never re-set a flag that's already true. diff --git a/libs/cockpit-registry/src/lib/manifest.spec.ts b/libs/cockpit-registry/src/lib/manifest.spec.ts index 7c82a496..b5a09adc 100644 --- a/libs/cockpit-registry/src/lib/manifest.spec.ts +++ b/libs/cockpit-registry/src/lib/manifest.spec.ts @@ -29,6 +29,7 @@ const expectedTopics = { ['core-capabilities', 'streaming'], ['core-capabilities', 'interrupts'], ['core-capabilities', 'tool-views'], + ['core-capabilities', 'json-render'], ], render: [ ['getting-started', 'overview'], @@ -103,7 +104,7 @@ describe('cockpitManifest', () => { (entry) => entry.entryKind === 'capability' ); - expect(capabilityEntries).toHaveLength(34); + expect(capabilityEntries).toHaveLength(35); for (const entry of capabilityEntries) { expect(entry.supportedLanguages).toEqual(['python']); diff --git a/libs/cockpit-registry/src/lib/manifest.ts b/libs/cockpit-registry/src/lib/manifest.ts index 909d088e..25b6e7f3 100644 --- a/libs/cockpit-registry/src/lib/manifest.ts +++ b/libs/cockpit-registry/src/lib/manifest.ts @@ -32,7 +32,7 @@ const APPROVED_TOPICS = { }, 'ag-ui': { 'getting-started': ['overview'], - 'core-capabilities': ['streaming', 'interrupts', 'tool-views'], + 'core-capabilities': ['streaming', 'interrupts', 'tool-views', 'json-render'], }, render: { 'getting-started': ['overview'],