> For the complete documentation index, see [llms.txt](https://docs.algenta.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.algenta.ai/engine-runtime.md). # Engine runtime - [Verify the bundled engine](https://docs.algenta.ai/engine-runtime/bundled-runtime.md): Verify the bundled Algenta compute runtime without installing, starting, or managing a separate engine process. - [Engine health & verification](https://docs.algenta.ai/engine-runtime/health.md): Confirm that the API, dependencies, and bundled compute runtime are healthy through supported HTTP probes. - [Engine catalog](https://docs.algenta.ai/engine-runtime/catalog.md): The Algenta engine catalog — every engine, its slug, API path, tier, and use cases, plus the three endpoints that enumerate them at runtime. - [Runtime libraries](https://docs.algenta.ai/engine-runtime/runtime-libraries.md): The runtime library surface — list, health-check, and execute individual runtime-backed functions over HTTP, the de CLI, or MCP. Off by default; an operator enables the HTTP routes. - [Runtime library catalog](https://docs.algenta.ai/engine-runtime/runtime-library-catalog.md): The full catalog of Algenta runtime-library modules — vision, LLM, ML, tensors, statistics, signal, crypto, and more — callable through /v1/libraries. - [Kernel inventory](https://docs.algenta.ai/engine-runtime/kernel-inventory.md): The public inventory of the engine's CUDA and Metal kernels — what ships, per backend, per model family, and the evidence behind each module. - [Declared capabilities](https://docs.algenta.ai/engine-runtime/capabilities.md): Ask the engine what each kernel actually does — deterministic or not, seeded or not, stateful or not, what it costs — and be told plainly when a kernel has not said. - [Batched and chained execution](https://docs.algenta.ai/engine-runtime/coarse-execution.md): Run many kernels — or a whole chain — in one call instead of one call each. - [Reproducibility](https://docs.algenta.ai/engine-runtime/reproducibility.md): Getting the same answer twice — chunk-invariant reductions, one canonical spelling for every float, and a replay manifest that says whether two runs were really the same run. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.algenta.ai/engine-runtime.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.