Build a general-purpose, batteries-included Python library for creating, importing, analyzing, and reasoning over argument graphs derived from text and multimodal evidence.
Project description
ArgLib
ArgLib is a batteries-included Python library for creating, importing, analyzing, and reasoning over argument graphs derived from text and multimodal evidence.
Highlights
- Canonical
ArgumentGraphmodel with provenance-aware nodes and relations. - Warrant-gated scoring with claim, warrant, and gate scores.
- Axiom flags to seed manual scores with optional influence locking.
- Diagnostics for cycles, components, reachability, and degree stats.
- JSON IO with schema validation and Graphviz DOT export.
- CLI tools for DOT, diagnostics, and validation.
- Argument bundles for higher-level reasoning and credibility propagation scoring.
- Evidence cards and supporting documents for evidence pipelines.
- Deterministic evidence scoring and edge validation helpers (LLM adapters planned).
Install
python -m pip install arglib
Quickstart
from arglib.core import ArgumentGraph
from arglib.reasoning import compute_credibility
graph = ArgumentGraph.new(title="Parks")
c1 = graph.add_claim("Green spaces reduce urban heat.", type="fact")
c2 = graph.add_claim("Cities should fund parks.", type="policy")
graph.add_support(c1, c2, rationale="Cooling improves health", gate_mode="OR")
credibility = compute_credibility(graph)
scores = credibility.final_scores
Evidence and scoring
from arglib.ai import score_evidence, validate_edges
scores = score_evidence(graph)
edge_report = validate_edges(graph)
Axioms
claim = graph.add_claim("Assume baseline demand holds.", is_axiom=True, score=0.6)
warrant = graph.add_warrant("This baseline is reliable.", is_axiom=True, score=0.7)
graph.units[claim].ignore_influence = True
Bundles and credibility propagation
from arglib.reasoning import compute_credibility
bundle = graph.define_argument([c1, c2], bundle_id="arg-1")
cred = compute_credibility(graph)
CLI examples
arglib dot path/to/graph.json
arglib diagnostics path/to/graph.json --validate
arglib validate path/to/graph.json
Development
This repo uses uv for dependency management.
uv sync
scripts/check.sh
Documentation
Full docs and guides are available at https://vasanthsarathy.github.io/arglib/.
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