mirror of
https://github.com/AutoMaker-Org/automaker.git
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Add comprehensive prompt customization system allowing users to customize
all AI prompts (Auto Mode, Agent Runner, Backlog Plan, Enhancement) through
the Settings UI.
## Features
### Core Customization System
- New TypeScript types for prompt customization with enabled flag
- CustomPrompt interface with value and enabled state
- Prompts preserved even when disabled (no data loss)
- Merged prompt system (custom overrides defaults when enabled)
- Persistent storage in ~/.automaker/settings.json
### Settings UI
- New "Prompt Customization" section in Settings
- 4 tabs: Auto Mode, Agent, Backlog Plan, Enhancement
- Toggle-based editing (read-only default → editable custom)
- Dynamic textarea height based on prompt length (120px-600px)
- Visual state indicators (Custom/Default labels)
### Warning System
- Critical prompt warnings for Backlog Plan (JSON format requirement)
- Field-level warnings when editing critical prompts
- Info banners for Auto Mode planning markers
- Color-coded warnings (blue=info, amber=critical)
### Backend Integration
- Auto Mode service loads prompts from settings
- Agent service loads prompts from settings
- Backlog Plan service loads prompts from settings
- Enhancement endpoint loads prompts from settings
- Settings sync includes promptCustomization field
### Files Changed
- libs/types/src/prompts.ts - Type definitions
- libs/prompts/src/defaults.ts - Default prompt values
- libs/prompts/src/merge.ts - Merge utilities
- apps/ui/src/components/views/settings-view/prompts/ - UI components
- apps/server/src/lib/settings-helpers.ts - getPromptCustomization()
- All service files updated to use customizable prompts
## Technical Details
Prompt storage format:
```json
{
"promptCustomization": {
"autoMode": {
"planningLite": {
"value": "Custom prompt text...",
"enabled": true
}
}
}
}
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
163 lines
4.6 KiB
TypeScript
163 lines
4.6 KiB
TypeScript
/**
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* Generate backlog plan using Claude AI
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*/
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import type { EventEmitter } from '../../lib/events.js';
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import type { Feature, BacklogPlanResult, BacklogChange, DependencyUpdate } from '@automaker/types';
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import { FeatureLoader } from '../../services/feature-loader.js';
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import { ProviderFactory } from '../../providers/provider-factory.js';
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import { logger, setRunningState, getErrorMessage } from './common.js';
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import type { SettingsService } from '../../services/settings-service.js';
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import { getAutoLoadClaudeMdSetting, getPromptCustomization } from '../../lib/settings-helpers.js';
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const featureLoader = new FeatureLoader();
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/**
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* Format features for the AI prompt
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*/
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function formatFeaturesForPrompt(features: Feature[]): string {
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if (features.length === 0) {
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return 'No features in backlog yet.';
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}
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return features
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.map((f) => {
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const deps = f.dependencies?.length ? `Dependencies: [${f.dependencies.join(', ')}]` : '';
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const priority = f.priority !== undefined ? `Priority: ${f.priority}` : '';
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return `- ID: ${f.id}
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Title: ${f.title || 'Untitled'}
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Description: ${f.description}
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Category: ${f.category}
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Status: ${f.status || 'backlog'}
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${priority}
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${deps}`.trim();
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})
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.join('\n\n');
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}
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/**
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* Parse the AI response into a BacklogPlanResult
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*/
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function parsePlanResponse(response: string): BacklogPlanResult {
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try {
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// Try to extract JSON from the response
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const jsonMatch = response.match(/```json\n?([\s\S]*?)\n?```/);
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if (jsonMatch) {
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return JSON.parse(jsonMatch[1]);
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}
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// Try to parse the whole response as JSON
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return JSON.parse(response);
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} catch {
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// If parsing fails, return an empty result
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logger.warn('[BacklogPlan] Failed to parse AI response as JSON');
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return {
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changes: [],
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summary: 'Failed to parse AI response',
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dependencyUpdates: [],
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};
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}
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}
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/**
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* Generate a backlog modification plan based on user prompt
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*/
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export async function generateBacklogPlan(
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projectPath: string,
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prompt: string,
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events: EventEmitter,
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abortController: AbortController,
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settingsService?: SettingsService,
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model?: string
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): Promise<BacklogPlanResult> {
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try {
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// Load current features
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const features = await featureLoader.getAll(projectPath);
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events.emit('backlog-plan:event', {
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type: 'backlog_plan_progress',
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content: `Loaded ${features.length} features from backlog`,
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});
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// Load prompts from settings
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const prompts = await getPromptCustomization(settingsService, '[BacklogPlan]');
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// Build the system prompt
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const systemPrompt = prompts.backlogPlan.systemPrompt;
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// Build the user prompt from template
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const currentFeatures = formatFeaturesForPrompt(features);
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const userPrompt = prompts.backlogPlan.userPromptTemplate
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.replace('{{currentFeatures}}', currentFeatures)
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.replace('{{userRequest}}', prompt);
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events.emit('backlog-plan:event', {
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type: 'backlog_plan_progress',
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content: 'Generating plan with AI...',
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});
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// Get the model to use
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const effectiveModel = model || 'sonnet';
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const provider = ProviderFactory.getProviderForModel(effectiveModel);
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// Get autoLoadClaudeMd setting
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const autoLoadClaudeMd = await getAutoLoadClaudeMdSetting(
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projectPath,
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settingsService,
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'[BacklogPlan]'
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);
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// Execute the query
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const stream = provider.executeQuery({
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prompt: userPrompt,
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model: effectiveModel,
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cwd: projectPath,
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systemPrompt,
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maxTurns: 1,
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allowedTools: [], // No tools needed for this
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abortController,
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settingSources: autoLoadClaudeMd ? ['user', 'project'] : undefined,
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});
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let responseText = '';
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for await (const msg of stream) {
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if (abortController.signal.aborted) {
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throw new Error('Generation aborted');
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}
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if (msg.type === 'assistant') {
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if (msg.message?.content) {
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for (const block of msg.message.content) {
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if (block.type === 'text') {
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responseText += block.text;
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}
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}
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}
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}
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}
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// Parse the response
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const result = parsePlanResponse(responseText);
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events.emit('backlog-plan:event', {
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type: 'backlog_plan_complete',
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result,
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});
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return result;
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} catch (error) {
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const errorMessage = getErrorMessage(error);
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logger.error('[BacklogPlan] Generation failed:', errorMessage);
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events.emit('backlog-plan:event', {
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type: 'backlog_plan_error',
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error: errorMessage,
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});
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throw error;
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} finally {
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setRunningState(false, null);
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}
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}
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