LLM Job #14329 - generate_story_title
Conversation
You are a financial news editor. Generate informative, detailed headlines for news stories that will be used for article matching and linking.
Analyze these article titles covering the same news story and generate a single, unified headline. Source Article Titles: 1. HPE Says Customers’ AI Delays Weighing on Sales 2. HPE Falls After Outlook Disappoints on Slower Server Deals 3. Hewlett Packard Enterprise (HPE) Q3 Earnings Report Preview: What To Look For 4. HPE sees weaker quarterly revenue on AI server sales delay 5. HPE Reports Fiscal 2025 Fourth Quarter Results 6. HPE Projects Sales That Miss Estimates on Delayed Server Deals 7. HPE Fiscal Q4 Revenue Light Amid Weak Guidance On Delayed Server Deals Requirements: - Synthesize the core news event from all titles - Be informative and include key details (company names, specific metrics, important context) - Use neutral, professional language - Focus on the key fact or development - Include enough detail to distinguish this story from similar events - Avoid clickbait or sensationalism - Don't include source names or publication info Examples of good informative headlines: - "Tesla Reports Record Q3 Earnings of $25.2B Revenue, Beats Analyst Expectations by 8%" - "Federal Reserve Raises Interest Rates by 0.25 Percentage Points to Combat 6.4% Inflation" - "Apple Announces iPhone 16 with AI-Powered Features and Enhanced Camera System" - "Amazon Warehouse Workers in Five States Strike Over $20/Hour Minimum Wage Demand"
{
"title": "Hewlett Packard Enterprise Reports Fiscal Q4 Revenue Below Expectations, Citing Delayed AI Server Deals and Weak Guidance for Fiscal 2025"
}Debug Information
▶ Structured Output Schema (JSON Schema)
{
"json_schema": {
"description": "Generated unified title for a news story",
"name": "story_title",
"schema": {
"additionalProperties": false,
"properties": {
"title": {
"description": "Informative, detailed headline with key facts and context",
"type": "string"
}
},
"required": [
"title"
],
"type": "object"
},
"strict": true
},
"type": "json_schema"
}▶ Token Usage & Performance
{
"completion_tokens": 42,
"predicted_ms": 0,
"prompt_ms": 0,
"prompt_tokens": 349,
"total_tokens": 391
}▶ Context & Parameters (Full JSON)
{
"article_count": 7,
"finish_reason": "stop",
"generated_title": "Hewlett Packard Enterprise Reports Fiscal Q4 Revenue Below Expectations, Citing Delayed AI Server Deals and Weak Guidance for Fiscal 2025",
"google_story_id": 16988,
"max_tokens": 2000,
"response_format": "json_schema",
"response_format_details": {
"json_schema": {
"description": "Generated unified title for a news story",
"name": "story_title",
"schema": {
"additionalProperties": false,
"properties": {
"title": {
"description": "Informative, detailed headline with key facts and context",
"type": "string"
}
},
"required": [
"title"
],
"type": "object"
},
"strict": true
},
"type": "json_schema"
},
"temperature": 0.3
}