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Deterministic protein design runtime with replayable execution artifacts, CLI automation, and API surfaces for lab-in-the-loop workflows

Project description

agentic-proteins

Python 3.11+ Typing: typed License: Apache-2.0 CI Status GitHub Repository

Package Family

agentic-proteins bijux-proteomics-foundation bijux-proteomics-core bijux-proteomics-intelligence bijux-proteomics-knowledge bijux-proteomics-lab

Agentic docs Foundation docs Core docs Intelligence docs Knowledge docs Lab docs

agentic-proteins provides the deterministic execution engine for protein design workflows, including replayable runtime artifacts, policy-safe runtime state transitions, CLI automation, and API boundaries.

Use this package when you need production execution behavior, traceable artifacts for auditability, or runtime integration points for agentic and lab-in-the-loop protein design systems.

Why teams pick this package

  • reproducible execution with deterministic run state and replay-oriented controls
  • inspectable artifacts for scientific review, incident analysis, and compliance
  • integration-ready boundaries for CLI usage, API orchestration, and provider wiring
  • clear runtime contracts that keep orchestration behavior stable across releases

Typical use cases

  • run deterministic protein design loops in CI, batch systems, or orchestrators
  • capture run artifacts as evidence for downstream review and approval workflows
  • expose runtime capabilities through CLI or HTTP integration surfaces
  • enforce provider capability checks before expensive or irreversible execution

Installation

pip install agentic-proteins

Quick start

agentic-proteins --help

Import-driven usage starts from the runtime and design loop modules:

from agentic_proteins.runtime import models as runtime_models
from agentic_proteins.design_loop import orchestrator

Package boundaries

This package owns runtime execution, lifecycle state, run artifacts, and runtime-facing entrypoints.

It does not own cross-package scientific governance:

  • domain lifecycle and review-gate semantics live in bijux-proteomics-core
  • ranking and scenario reasoning live in bijux-proteomics-intelligence
  • evidence trust and contradiction resolution live in bijux-proteomics-knowledge
  • lab scheduling and rerun planning live in bijux-proteomics-lab

Source guide

Documentation

Changelog

All notable changes for agentic-proteins are recorded here.

0.3.0 - 2026-04-06

Added

  • Package-local release manifest and maintainer-facing package docs: README.md, docs/ARCHITECTURE.md, docs/BOUNDARIES.md, docs/CONTRACTS.md, and docs/maintainer/pypi.md.
  • Package-local changelog publishing path wired in package and root metadata.

Changed

  • Package URLs now consistently reference bijux.io/bijux-proteomics and github.com/bijux/bijux-proteomics.

Fixed

  • Test path resolution now uses explicit monorepo-root detection so e2e, regression, and governance tests stay stable with nested package manifests.

0.2.3 - 2026-01-16

Added

  • Expanded provider test coverage for ColabFold, OpenProtein, and local ESMFold utilities.
  • Runtime capability validation tests and candidate filter unit coverage.
  • Stability marking test for module annotations.

Changed

  • Hardened local ESMFold utility tests to exercise error and success branches.

Fixed

  • Reliability checks and helper tests to keep coverage and gating stable.

0.2.2 - 2026-01-16

Added

  • Release alignment for docs, gates, and CI structure.

Changed

  • Consistent documentation build and validation wiring.

Fixed

  • Minor release hygiene issues discovered in CI.

0.2.1 - 2026-01-16

Added

  • Expanded unit and integration coverage with new invariants, API, and docs gates.
  • Additional tests for provider isolation, reproducibility, and abuse-case blocking.
  • Fancy PyPI readme fragments for README + changelog publishing.

Changed

  • Refactored tests/unit into a structured layout for clearer ownership.

Fixed

  • Coverage floors and CI gates stabilized around new test layout.

0.2.0 - 2026-01-16

Added

  • Architecture invariants, threat model skeleton, and design debt ledger.
  • Reproducible runs via agentic-proteins reproduce <run_id> with hash checks.
  • Determinism tests, artifact immutability tests, and invariant regression coverage.
  • Provider isolation checks and chaos failure test for mid-run provider loss.
  • Benchmark regression gate and per-module coverage floors in CI.
  • Documentation system contracts, lint gates, and CLI surface audit coverage.
  • API error taxonomy enforcement, correlation ID logging test, and OpenAPI drift guard.
  • Dependency allowlist enforcement for SBOM changes.

0.1.0 - 2026-01-14

Added

  • Deterministic, artifact-first execution engine with explicit run directories and state snapshots.
  • Agent-based architecture covering planning, analysis, execution, verification, and reporting.
  • End-to-end design loop with failure handling, stagnation detection, and human-in-the-loop gating.
  • CLI for running, resuming, inspecting, comparing, and exporting protein design runs.
  • Local and remote provider abstractions with explicit capability and requirement checks.
  • Structured reporting system with machine-readable artifacts and human-readable summaries.
  • Integrated evaluation pipeline supporting structure-based metrics and ground-truth comparison.
  • Reproducibility controls, observability hooks, and execution telemetry.
  • Example datasets and reference runs for local experimentation and validation.
  • Comprehensive test suite covering unit, integration, regression, and execution boundaries.

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