Codex-ready workflows for nxusKit SDK integrations and local intelligence.
Install · nxusKit SDK · Examples · Docs · Website
This repository publishes public Codex Plugin packages from nxus.SYSTEMS. The current plugin, nxusKit Celerat, helps Codex use the nxusKit SDK and nxusKit Examples to add provider-agnostic LLM integrations, symbolic reasoning, hybrid AI workflows, CLI/Bash prototypes, and public-safe local intelligence patterns to real applications.
Current public release: v0.9.4-20260518
nxusKit is a multi-language SDK for LLM providers, CLIPS rule engines, Z3 constraint solvers, Bayesian networks, ZEN decision tables, and JSON-first CLI automation. Celerat packages the product knowledge Codex needs to pick the right nxusKit pattern, explain Community vs. Pro boundaries before implementation, discover canonical examples through a bundled local MCP server, and verify changes using the target project's own build or smoke commands.
| Plugin | Display name | Scope |
|---|---|---|
nxuskit |
nxusKit Celerat | Helps Codex implement nxusKit SDK integrations for LLMs, reasoning engines, hybrid workflows, CLI/Bash prototypes, and local intelligence workflows. |
Add this repository as a Git-backed Codex Plugin marketplace pinned to the current public release:
codex plugin marketplace add nxus-SYSTEMS/nxus-codex-plugins --ref v0.9.4-20260518Then open the Codex plugin directory and install nxusKit Celerat from the nxus.SYSTEMS Codex Plugins source.
See INSTALL.md for verification and removal steps.
- Add chat, streaming, structured output, tool calling, vision, retry/fallback, provider routing, and local-provider support with nxusKit.
- Migrate direct OpenAI, Anthropic, Ollama, or LiteLLM-style code toward a provider-agnostic nxusKit integration.
- Prototype workflows with
nxuskit-cliand Bash/JSON before changing application code. - Use bundled MCP discovery to pick canonical nxusKit examples and task recipes instead of relying on generic invention.
- Add Community Edition CLIPS guardrails around LLM recommendation workflows.
- Compare model/provider fitness with the model research harness pattern before live calls.
- Keep sensitive local files on the user's machine while returning only schema-level findings to Codex.
- Stay Community Edition-first when a request can be satisfied without Pro.
- Disclose Pro requirements before solver-backed what-if analysis, ZEN decision tables, runtime plugin loading, or other Pro-gated paths.
- Avoid in-chat secret handling by directing users to environment variables, credential stores, provider dashboards, and nxusKit auth helpers.
After installing the plugin, start a Codex session inside a Rust, Go, Python, or CLI-oriented project and ask:
Find the smallest nxusKit example or recipe for this repo with setup, smoke steps, and CE/Pro tier.
Other useful prompts:
Use common-sense-guardrails to add Community CLIPS checks around an LLM recommendation workflow.
Use model-research-harness to compare model/provider fitness with dry-run scoring before live calls.
For more task prompts, see examples/.
The plugin is a companion to the nxusKit SDK, not a replacement for it. Install nxusKit when you are ready to build and run application code:
Community Edition workflows are available for many LLM, local-provider, CLIPS, Bayesian, and CLI/Bash use cases. Some solver, ZEN, runtime plugin, and advanced workflow capabilities require nxusKit Pro; Celerat is designed to call that out before Codex generates Pro-dependent code.
Public contributions should focus on shipped plugin behavior, installation clarity, prompt examples, documentation, and reproducible validation. See CONTRIBUTING.md.
This repository is dual-licensed under MIT or Apache 2.0, at your option. See LICENSE, LICENSE-MIT, and LICENSE-APACHE.
Copyright 2025-2026 nxus.SYSTEMS LLC.