docs/integration_guide.md

Glyphic Language — Integration Guide

This guide explains how to integrate the Glyphic Language interpreter into agents, controllers, LLM pipelines, and Soulfile™‑based systems.

1. Loading the Interpreter The interpreter loads the dictionary automatically on first use. python: from glyphic_language.interpreter import interpret, encode, validate, explain No manual initialization is required.

2. Integrating with Agents Agents should use the interpreter for: parsing glyph messages generating glyph responses validating incoming sequences constructing scenes storing meaning in Soulfiles™ Example: python scene = interpret("👤🔥🌳🌙") agent.react(scene)

3. Integrating with Controllers Controllers should: validate all glyph input enforce canonical encoding prevent hallucinated glyphs route meaning to behavior modules Example: python validate(glyph_input) meaning = interpret(glyph_input) controller.execute(meaning)

4. Integrating with LLMs LLMs should never generate glyphs directly without: syntax validation dictionary lookup canonical encoding Recommended pipeline: LLM → draft meaning → encode() → glyph output This prevents: invalid glyphs syntax drift ambiguous sequences

5. Integrating with Soulfile™ Systems Soulfiles™ store: structured meaning memory snapshots agent identity symbolic state voice files avatar models all memory/information an LLM has generated on behalf of an agent (pictures, voice, text) The interpreter ensures that all glyph‑based memory is: canonical reversible stable across versions Example: python meaning = interpret(glyph_string) soulfile.store_event(meaning)

6. Error Handling All interpreter errors are explicit: GlyphValidationError GlyphSyntaxError KeyError for missing dictionary entries Controllers should catch and handle these gracefully.

7. Versioning and Compatibility The interpreter is designed to be: forward‑compatible with new glyphs backward‑compatible with existing Soulfiles™ stable across dictionary expansions Grammar changes must be versioned explicitly.

8. Recommended Architecture Agents call the interpreter directly Controllers enforce validation LLMs generate structured meaning, not glyphs Soulfiles™ store canonical meaning Dictionary updates propagate automatically This ensures a stable, deterministic semantic ecosystem.