LLM Job #16502 - generate_story_title

Conversation

LLM Model
aiaiai/qwen3-30B
Outcome
success
Duration
213 ms
Started At
2025-12-05T22:55:12Z
Completed At
2025-12-05T22:55:12Z
Iterations
1
System

You are a financial news editor. Generate informative, detailed headlines for news stories that will be used for article matching and linking.

User

Analyze these article titles covering the same news story and generate a single, unified headline. Source Article Titles: 1. Railroads will be allowed to reduce inspections and rely more on technology to spot track problems 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"

Assistant
{
  "title": "Federal Railroad Administration Proposes Rule Change Allowing Railroads to Reduce Track Inspections and Increase Use of AI-Powered Technology for Detecting Track Defects"
}

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": 41,
  "predicted_ms": 0,
  "prompt_ms": 0,
  "prompt_tokens": 252,
  "total_tokens": 293
}
▶ Context & Parameters (Full JSON)
{
  "article_count": 1,
  "finish_reason": "stop",
  "generated_title": "Federal Railroad Administration Proposes Rule Change Allowing Railroads to Reduce Track Inspections and Increase Use of AI-Powered Technology for Detecting Track Defects",
  "google_story_id": 23634,
  "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
}