Codex Plugins

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: v0.9.4-20260522

SDK compatibility note: nxusKit SDK docs and packages are now v1.0.0 GA/latest. The currently published nxusKit Celerat Codex Plugin remains v0.9.4-based until the next plugin refresh ships.

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.

Available Plugins

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.

Install

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 v0.9.4-20260522

Then open the Codex plugin directory and install nxusKit Celerat from the nxus.SYSTEMS Codex Plugins source.

See INSTALL.md for verification and removal steps.

What Celerat Helps With

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-cli and 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.

Try It

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/.

nxusKit SDK

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.

Contributing

Public contributions should focus on shipped plugin behavior, installation clarity, prompt examples, documentation, and reproducible validation. See CONTRIBUTING.md.

License

This repository is dual-licensed under MIT or Apache 2.0, at your option. See LICENSE, LICENSE-MIT, and LICENSE-APACHE.