feat: add customizable AI prompts with enhanced UX

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>
This commit is contained in:
Stephan Rieche
2025-12-29 23:17:20 +01:00
parent 25c9259b50
commit bc0ef47323
20 changed files with 1338 additions and 265 deletions

View File

@@ -8,7 +8,7 @@ import { FeatureLoader } from '../../services/feature-loader.js';
import { ProviderFactory } from '../../providers/provider-factory.js';
import { logger, setRunningState, getErrorMessage } from './common.js';
import type { SettingsService } from '../../services/settings-service.js';
import { getAutoLoadClaudeMdSetting } from '../../lib/settings-helpers.js';
import { getAutoLoadClaudeMdSetting, getPromptCustomization } from '../../lib/settings-helpers.js';
const featureLoader = new FeatureLoader();
@@ -79,72 +79,17 @@ export async function generateBacklogPlan(
content: `Loaded ${features.length} features from backlog`,
});
// Load prompts from settings
const prompts = await getPromptCustomization(settingsService, '[BacklogPlan]');
// Build the system prompt
const systemPrompt = `You are an AI assistant helping to modify a software project's feature backlog.
You will be given the current list of features and a user request to modify the backlog.
const systemPrompt = prompts.backlogPlan.systemPrompt;
IMPORTANT CONTEXT (automatically injected):
- Remember to update the dependency graph if deleting existing features
- Remember to define dependencies on new features hooked into relevant existing ones
- Maintain dependency graph integrity (no orphaned dependencies)
- When deleting a feature, identify which other features depend on it
Your task is to analyze the request and produce a structured JSON plan with:
1. Features to ADD (include title, description, category, and dependencies)
2. Features to UPDATE (specify featureId and the updates)
3. Features to DELETE (specify featureId)
4. A summary of the changes
5. Any dependency updates needed (removed dependencies due to deletions, new dependencies for new features)
Respond with ONLY a JSON object in this exact format:
\`\`\`json
{
"changes": [
{
"type": "add",
"feature": {
"title": "Feature title",
"description": "Feature description",
"category": "Category name",
"dependencies": ["existing-feature-id"],
"priority": 1
},
"reason": "Why this feature should be added"
},
{
"type": "update",
"featureId": "existing-feature-id",
"feature": {
"title": "Updated title"
},
"reason": "Why this feature should be updated"
},
{
"type": "delete",
"featureId": "feature-id-to-delete",
"reason": "Why this feature should be deleted"
}
],
"summary": "Brief overview of all proposed changes",
"dependencyUpdates": [
{
"featureId": "feature-that-depended-on-deleted",
"removedDependencies": ["deleted-feature-id"],
"addedDependencies": []
}
]
}
\`\`\``;
// Build the user prompt
const userPrompt = `Current Features in Backlog:
${formatFeaturesForPrompt(features)}
---
User Request: ${prompt}
Please analyze the current backlog and the user's request, then provide a JSON plan for the modifications.`;
// Build the user prompt from template
const currentFeatures = formatFeaturesForPrompt(features);
const userPrompt = prompts.backlogPlan.userPromptTemplate
.replace('{{currentFeatures}}', currentFeatures)
.replace('{{userRequest}}', prompt);
events.emit('backlog-plan:event', {
type: 'backlog_plan_progress',

View File

@@ -6,17 +6,19 @@
*/
import { Router } from 'express';
import type { SettingsService } from '../../services/settings-service.js';
import { createEnhanceHandler } from './routes/enhance.js';
/**
* Create the enhance-prompt router
*
* @param settingsService - Settings service for loading custom prompts
* @returns Express router with enhance-prompt endpoints
*/
export function createEnhancePromptRoutes(): Router {
export function createEnhancePromptRoutes(settingsService?: SettingsService): Router {
const router = Router();
router.post('/', createEnhanceHandler());
router.post('/', createEnhanceHandler(settingsService));
return router;
}

View File

@@ -10,8 +10,9 @@ import { query } from '@anthropic-ai/claude-agent-sdk';
import { createLogger } from '@automaker/utils';
import { resolveModelString } from '@automaker/model-resolver';
import { CLAUDE_MODEL_MAP } from '@automaker/types';
import type { SettingsService } from '../../../services/settings-service.js';
import { getPromptCustomization } from '../../../lib/settings-helpers.js';
import {
getSystemPrompt,
buildUserPrompt,
isValidEnhancementMode,
type EnhancementMode,
@@ -83,9 +84,12 @@ async function extractTextFromStream(
/**
* Create the enhance request handler
*
* @param settingsService - Optional settings service for loading custom prompts
* @returns Express request handler for text enhancement
*/
export function createEnhanceHandler(): (req: Request, res: Response) => Promise<void> {
export function createEnhanceHandler(
settingsService?: SettingsService
): (req: Request, res: Response) => Promise<void> {
return async (req: Request, res: Response): Promise<void> => {
try {
const { originalText, enhancementMode, model } = req.body as EnhanceRequestBody;
@@ -128,8 +132,20 @@ export function createEnhanceHandler(): (req: Request, res: Response) => Promise
logger.info(`Enhancing text with mode: ${validMode}, length: ${trimmedText.length} chars`);
// Get the system prompt for this mode
const systemPrompt = getSystemPrompt(validMode);
// Load enhancement prompts from settings (merges custom + defaults)
const prompts = await getPromptCustomization(settingsService, '[EnhancePrompt]');
// Get the system prompt for this mode from merged prompts
const systemPrompt =
validMode === 'improve'
? prompts.enhancement.improveSystemPrompt
: validMode === 'technical'
? prompts.enhancement.technicalSystemPrompt
: validMode === 'simplify'
? prompts.enhancement.simplifySystemPrompt
: prompts.enhancement.acceptanceSystemPrompt;
logger.debug(`Using ${validMode} system prompt (length: ${systemPrompt.length} chars)`);
// Build the user prompt with few-shot examples
// This helps the model understand this is text transformation, not a coding task