generate-note

name	generate-note
type	python
description	Generate new text or code content from scratch using natural language prompt via LLM. Creates content from the LLM's own knowledge — no source documents.

generate-note

LLM-based content generation. Creates new text or code from scratch using natural language instructions. No source documents — for generation from source material, use synthesize instead.

Input

• prompt: Generation instruction (required)
• style: "code" or "text" (optional, default: "text")
• target_tokens: Integer (optional). Target output length in tokens. Overrides default max_tokens when provided via OUTPUT GUIDANCE.

Output

Success (status: "success"):

• value: Generated content (text or code)

Failure (status: "failed"):

• reason: Error description

Behavior

• text (default): Generates prose, summaries, explanations (temperature=0.7)
• code: Generates code with stricter formatting (temperature=0.2)

Planning Notes

• Use for creating NEW content from scratch (no source material)
• Use extract for deriving content from a single Note
• Use synthesize for integrating content from multiple documents
• Do NOT pass context — use synthesize with source Collections instead

Examples

{"type":"generate-note","prompt":"Write a Python fibonacci function","style":"code","out":"$fib"}
{"type":"generate-note","prompt":"Explain quantum computing basics","out":"$explanation"}