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This API will be later tied to jobs as defined for specific flows (post-training, eval, etc.) through the common scheduler mechanism. Note: At the moment, API does nothing useful. (Except returning Not Implemented errors when called.) This is an alternative to developing per-flow jobs APIs. Eventually, once /jobs API is implemented, we should be able to deprecate existing APIs under /v1/post-training/, /v1/eval/ etc. See #1587 (tracker) See #1238 (design details) Note: This is an alternative path to #1582 and #1583. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com> |
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Llama Stack Documentation
Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our ReadTheDocs page.
Content
Try out Llama Stack's capabilities through our detailed Jupyter notebooks:
- Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
- Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
- Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack