synapt-extract 0.3.0

SynaptExtraction IL v1 -- schema, validation, and finalization

synapt-extract

SynaptExtraction is the intermediate language (IL) for synapt's product stack. It is the universal exchange format between text extraction and intelligence operations.

Any text + Any LLM  ->  SynaptExtraction (IL)  ->  @synapt/memory (intelligence)

Install

pip install synapt-extract

Quick start

from synapt_extract import (
    build_extraction_prompt,
    finalize_extraction,
    FinalizeContext,
)

# 1. Build a prompt
prompt = build_extraction_prompt(text, profile="standard")

# 2. Send to any LLM, parse JSON response
llm_output = json.loads(llm.complete(prompt))

# 3. Finalize
result = finalize_extraction(llm_output, FinalizeContext(
    produced_by="openai://gpt-4o-mini",
    user_id=user_id,
    kind="conversa/prayer",
))

assert result.validation.valid

Prompt profiles

Profile	Model class	Capabilities
minimal	3B-7B local	entities, entity_state, goals, themes, summary
standard	GPT-4o-mini, Haiku	+ entity_context, goal_timing, facts, temporal_refs, sentiment, evidence_anchoring
full	GPT-4o, Sonnet, Opus	+ entity_ids, goal_entity_refs, relations, relation_origin, assertion_signals, temporal_classes

Links

• Repository
• JSON Schema
• TypeScript package

License

MIT