@metreeca/muse

Ready-made tasks and shared services for AI jobs.

@metreeca/muse brings ready-made @metreeca/flow tasks for putting model work into a pipeline: prompting a model, extracting structure from free text, embedding content for retrieval. The tasks run under the @metreeca/gear job executor, which supplies the shared services they draw on.

• Ready-Made Tasks: prompting, extraction and embedding, chaining alongside any other task
• Shared Services: the model clients, credentials and response caches a run needs, built on demand and released as it ends
• Custom Bindings: a stubbed, throttled or recorded model swapped in for a run, leaving the job untouched
• Minimal Footprint: one package per model provider, each pulling in only the SDK that provider needs

Installation

npm install @metreeca/gear             # job executor and shared services
npm install @metreeca/muse             # model access contracts and shared services
npm install @metreeca/muse-<provider>  # task package, one per model provider
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Install the core package, then add a task package for each model provider the pipeline reaches. Provider packages are self-contained leaves, each pulling in only the SDK its own provider needs. The job executor comes from @metreeca/gear, which the core package pulls in transitively; install it directly to set up and run a job.

Usage

Support

• open an issue to report a problem or to suggest a new feature
• start a discussion to ask a how-to question or to share an idea

License

This project is licensed under the Apache 2.0 License – see LICENSE file for details.