Tools & Ecosystem

Everything you need to parse, validate, analyze, and build with STL.

stl_parser

v1.7.0

The official Python parser for STL. Parse, validate, serialize, query, diff, and stream STL documents. Production-grade with comprehensive test coverage.

530 tests 3,100 LOC 14 modules

Capabilities

Parse STL text and files into structured results parse(text), parse_file(path)

Syntax and semantic validation validate_parse_result(result)

Convert to JSON, RDF (Turtle/XML/N-Triples/JSON-LD) to_json(), to_rdf()

Django-style filtering and RFC 6901 pointer addressing find(), find_all(), stl_pointer()

Programmatic STL construction with type safety stl(src, tgt).mod(key=val).build()

Semantic diff and patch with round-trip guarantee stl_diff(a, b), stl_patch(doc, diff)

Stream large files with filtering stream_parse(source, where=)

Thread-safe event logging to .stl files STLEmitter(path, namespace)

Three-stage LLM output cleaning pipeline validate_llm_output(raw_text)

Confidence decay over time (half-life model) effective_confidence(stmt), decay_report()

Domain constraint validation against .stl.schema files load_schema(), validate_against_schema()

Build NetworkX directed graphs for path and centrality analysis STLGraph(result)

pip install stl-parser View on GitHub →

STL CLI

Command-line interface for STL operations. Validate, convert, analyze, build, query, diff, and clean STL files from the terminal.

Commands

stl validate input.stl — Syntax and semantic validation

stl convert input.stl --to json — Convert to JSON, Turtle, JSON-LD

stl analyze input.stl — Graph analysis report

stl build \"[A]\" \"[B]\" --mod \"confidence=0.9\" — Build statements from CLI

stl query input.stl --where \"confidence__gt=0.8\" — Filter statements

stl diff a.stl b.stl — Semantic diff

stl clean llm_output.txt — Clean LLM output

pip install stl-parser (includes CLI) View on GitHub →

MCP Server Tools

STL tools exposed as MCP (Model Context Protocol) server tools. Enables AI agents to validate, parse, and analyze STL directly.

MCP Tools

Validate STL text syntax and semantics

Parse STL text into structured JSON

Graph statistics: nodes, edges, centrality, cycles

Validate STL file by path

Domain Schemas

Six domain-specific validation schemas for constraining STL to specific fields. Each schema defines required anchors, modifiers, and value ranges.

Domain Schemas

Traditional Chinese MedicineScientific ResearchCausal ReasoningHistorical EventsMedical/ClinicalLegal Documents