name: add-field description: Add predefined field definitions to the Prompture field registry. Handles field structure, categories, template variables, enum support, and thread-safe registration. Use when adding reusable extraction fields. metadata: author: prompture version: "1.0"

Add Field Definitions

Adds new fields to the global BASE_FIELD_DEFINITIONS registry in prompture/field_definitions.py.

Before Starting

Ask the user for each field:

• Field name — lowercase, underscore-separated (e.g. linkedin_url, blood_type)
• Category — Person, Contact, Professional, Financial, Location, Education, Demographic, Social Media, Task Management, or a new one
• Type — str, int, float, bool, list, dict
• Description — what this field represents
• Instructions — how the LLM should extract or compute the value
• Default — type-appropriate: "" for str, 0 for int, 0.0 for float, [] for list, False for bool
• Nullable — True if the field can legitimately be absent
• Enum values (optional) — list of allowed string values

Field Structure

"field_name": {
    "type": str,
    "description": "What this field represents.",
    "instructions": "How the LLM should extract or compute this value.",
    "default": "",
    "nullable": False,
},

Optional keys

• "enum": ["low", "medium", "high"]
• Template variables in instructions: {{current_year}}, {{current_date}}, {{current_datetime}}, {{current_month}}, {{current_day}}, {{current_weekday}}, {{current_iso_week}}

Steps

1. Edit prompture/field_definitions.py

Add fields to BASE_FIELD_DEFINITIONS under the right category comment. If the category is new, add a comment header:

    # ── Medical Fields ──────────────────────────────────

Alphabetical order within each category.

2. Verify

python -c "from prompture.field_definitions import get_field_definition; print(get_field_definition('field_name'))"
pytest tests/test_field_definitions.py -x -q