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refactor: Update model references and improve feature summary handling

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- Changed model references from `bareModel` to `effectiveBareModel` in multiple locations to ensure consistency.
- Removed redundant event emission for `auto_mode_summary` after saving feature summaries.
- Added checks to prevent resuming features that are already running, enhancing error handling.
- Introduced a new useEffect in various dialogs to clear `requirePlanApproval` when planning mode is set to 'skip' or 'lite'.
- Updated prompt templates to enforce a structured summary output format, ensuring critical information is captured after task completion.
This commit is contained in:
Shirone
2026-01-24 23:11:37 +01:00
parent 076ab14a5e
commit 4f07948712
5 changed files with 138 additions and 15 deletions
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24
apps/server/src/services/auto-mode-service.ts
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@@ -4126,7 +4126,7 @@ This mock response was generated because AUTOMAKER_MOCK_AGENT=true was set.
// Execute task with dedicated agent
const taskStream = provider.executeQuery({
prompt: taskPrompt,
model: bareModel,
model: effectiveBareModel,
maxTurns: Math.min(maxTurns || 100, 50),
cwd: workDir,
allowedTools: allowedTools,
@@ -4210,14 +4210,10 @@ This mock response was generated because AUTOMAKER_MOCK_AGENT=true was set.
logger.info(`Recovery: All tasks completed for feature ${featureId}`);
// Extract and save final summary
// Note: saveFeatureSummary already emits auto_mode_summary event
const summary = extractSummary(responseText);
if (summary) {
await this.saveFeatureSummary(projectPath, featureId, summary);
this.emitAutoModeEvent('auto_mode_summary', {
featureId,
projectPath,
summary,
});
}
// Final write and cleanup
@@ -4455,7 +4451,7 @@ After generating the revised spec, output:
// Make revision call
const revisionStream = provider.executeQuery({
prompt: revisionPrompt,
model: bareModel,
model: effectiveBareModel,
maxTurns: maxTurns || 100,
cwd: workDir,
allowedTools: allowedTools,
@@ -4613,7 +4609,7 @@ After generating the revised spec, output:
// Execute task with dedicated agent
const taskStream = provider.executeQuery({
prompt: taskPrompt,
model: bareModel,
model: effectiveBareModel,
maxTurns: Math.min(maxTurns || 100, 50), // Limit turns per task
cwd: workDir,
allowedTools: allowedTools,
@@ -4654,11 +4650,12 @@ After generating the revised spec, output:
startTaskId,
'in_progress'
);
this.emitAutoModeEvent('auto_mode_task_start', {
this.emitAutoModeEvent('auto_mode_task_started', {
featureId,
projectPath,
branchName,
taskId: startTaskId,
taskDescription: task.description,
taskIndex,
tasksTotal: parsedTasks.length,
});
@@ -4774,7 +4771,7 @@ After generating the revised spec, output:
const continuationStream = provider.executeQuery({
prompt: continuationPrompt,
model: bareModel,
model: effectiveBareModel,
maxTurns: maxTurns,
cwd: workDir,
allowedTools: allowedTools,
@@ -5245,6 +5242,13 @@ After generating the revised spec, output:
// Resume each interrupted feature
for (const feature of interruptedFeatures) {
try {
// Skip if feature is already running (prevents "already running" error)
if (this.runningFeatures.has(feature.id)) {
logger.info(
`Feature ${feature.id} (${feature.title}) is already running, skipping resume`
);
continue;
}
logger.info(`Resuming feature: ${feature.id} (${feature.title})`);
// Use resumeFeature which will detect the existing context and continue
await this.resumeFeature(projectPath, feature.id, true);