pyucp 0.1.0

Universal Context Package (UCP) — reference library: validation, typed models, canonical LLM rendering

ucp — Universal Context Package reference library (Python)

Reference implementation of the UCP specification (v0.1.0-draft): schema validation, typed Pydantic models, and canonical CommonMark rendering for LLM prompts with token budgeting.

pip install pyucp   # distribution "pyucp", import name "ucp"

Quickstart

import ucp

# Load and validate a package (raises ucp.UCPValidationError on failure)
pkg = ucp.load("task.ucp.json")

print(pkg.entity.title)
print(pkg.must_know[0].text)

# Canonical prompt rendering (SPEC §7.1)
prompt = ucp.render(pkg)

# Under a token budget: truncates by ascending salience, drops sections
# in the order defined by SPEC §7.2 (summary/conflicts/diff survive longest)
prompt = ucp.render(pkg, token_budget=1500)

# Validation without parsing into models
errors = ucp.iter_errors({"ucp_version": "0.1.0"})  # -> list of messages

# Referential integrity (ucp-core profile): every claim source key must exist
dangling = pkg.verify_references()  # -> [] when clean

What this library guarantees

• Schema validation against the bundled JSON Schema (draft 2020-12), identical to specs/ucp/schema/ucp.schema.json.
• Must-ignore semantics: unknown fields are preserved, never rejected (SPEC §6.1) — models use extra="allow".
• Provenance enforcement: a claim without sources fails both schema validation and model parsing.
• Deterministic rendering: the same package always renders to the same prompt, so downstream LLM behavior is reproducible.

Token counting uses a fast len(text) / 4 heuristic; pass your own counter via render(pkg, token_budget=..., count_tokens=fn) for exact budgets.

Development

pip install -e ".[dev]"
pytest

Tests run against the spec's examples/ and conformance/ suites when the repository layout is available.