qmd/finetune/data/gepa_generated.prompts.json

{
  "predict": {
    "traces": [],
    "train": [],
    "demos": [],
    "signature": {
      "instructions": "Expand a search query into retrieval-optimized variations.\n\nOutput format:\n- lex: lines are short, keyword-focused (for BM25 search)\n- vec: lines are natural language phrases (for vector search)  \n- hyde: is a hypothetical document passage (optional)\n\nRules:\n- Include 2-3 lex: lines with key terms preserved\n- Include 2-3 vec: lines as complete natural phrases\n- Named entities (brands, technologies) MUST appear in lex lines\n- Never use generic phrases like \"find information about\"",
      "fields": [
        {
          "prefix": "Query:",
          "description": "The search query to expand"
        },
        {
          "prefix": "Reasoning: Let's think step by step in order to",
          "description": "${reasoning}"
        },
        {
          "prefix": "Expansion:",
          "description": "Multi-line expansion with lex:, vec:, and optional hyde: prefixes"
        }
      ]
    },
    "lm": null
  },
  "metadata": {
    "dependency_versions": {
      "python": "3.14",
      "dspy": "3.1.2",
      "cloudpickle": "3.1"
    }
  }
}