> 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/runtime-library-catalog.md). # Runtime library catalog The full catalog of Algenta runtime-library modules — vision, LLM, ML, tensors, statistics, signal, crypto, and more — callable through /v1/libraries. The engine ships a compiled runtime library of **643 modules** and **6068 functions** — the low-level building blocks the high-level engines are made of. You can call any one directly with a `module` + `function` name; see [Runtime libraries](/engine-runtime/runtime-libraries.md) for how to list, check, and execute them. {% hint style="info" %} The catalog is **self-describing** — `GET /v1/libraries` returns every module and its exported functions live, and `GET /v1/libraries?q=` filters by name (for example `?q=image` for the vision modules, `?q=llm` for sampling). This page groups the modules so you can see what is available; the endpoint is the authoritative, always-current list. {% endhint %} ## Flagship domains A few of the most-used domains, with example modules. **Computer vision** — `image_ops`, `image_features`, `image_similarity`, `image_morphology`, `image_resize`, `image_quality`, `image_regions`, `image_palette`, `document_vision`, `vision_gate`. **LLM** — `llm_sampling`, `vision_attention_scale`. Discover any of them with `GET /v1/libraries?q=image` or `?q=llm`. ## Vision & imaging 12 modules. | Module | Functions | | ------------------ | --------- | | `document_vision` | 9 | | `endocrinology` | 10 | | `geomorphology` | 12 | | `image_features` | 11 | | `image_morphology` | 9 | | `image_ops` | 11 | | `image_palette` | 8 | | `image_quality` | 15 | | `image_regions` | 6 | | `image_resize` | 9 | | `image_similarity` | 8 | | `vision_gate` | 5 | ## LLM & attention 19 modules. | Module | Functions | | ----------------------------- | --------- | | `attnk.rope` | 9 | | `bpe_tokenizer` | 10 | | `causal_inference.propensity` | 5 | | `embeddings` | 20 | | `flash_attention` | 10 | | `kv_cache` | 10 | | `llm_sampling` | 11 | | `llmk.contract` | 5 | | `llmk.gemv_fast` | 1 | | `llmk.generate` | 2 | | `llmk.residual` | 1 | | `mlpk.embedding` | 3 | | `paged_kv_cache` | 10 | | `propensity` | 9 | | `sparse_attention` | 10 | | `text.tokenizer` | 10 | | `token_bucket` | 11 | | `transformer_attention` | 11 | | `transformer_blocks` | 10 | ## Machine learning 42 modules. | Module | Functions | | ------------------------------ | --------- | | `activations` | 10 | | `bayesian_inference` | 10 | | `calibration` | 5 | | `causal_inference.base` | 13 | | `causal_inference.dag` | 6 | | `causal_inference.estimators` | 5 | | `causal_inference.panel` | 2 | | `causal_inference.sensitivity` | 7 | | `causal_inference.uplift` | 2 | | `config.toml_parser` | 5 | | `config.yaml_parser` | 5 | | `constraint` | 8 | | `decision_ml_fusion` | 10 | | `gemm.quantized` | 4 | | `gradient_descent` | 10 | | `inference.assume` | 5 | | `inference.core` | 18 | | `inference.glm` | 3 | | `inference.multiplicity` | 5 | | `inference.power` | 5 | | `inference.resample` | 3 | | `inference.robust` | 3 | | `inference_cost_latency` | 11 | | `inference_engine` | 10 | | `inference_security` | 10 | | `latency_optimizer` | 10 | | `loss_functions` | 11 | | `lossk.contract` | 8 | | `lossk.cross_entropy` | 5 | | `ml_metrics_extended` | 10 | | `mlpk.activation` | 7 | | `nn_layers` | 11 | | `normalization_layers` | 10 | | `normk.layernorm` | 4 | | `optimization_constrained` | 8 | | `optimizer_full` | 10 | | `quantization` | 10 | | `quantization_stack` | 10 | | `seq2_trainer` | 10 | | `seq_training` | 4 | | `state_space_models` | 10 | | `training_stability` | 10 | ## Tensors & linear algebra 22 modules. | Module | Functions | | ----------------------------- | --------- | | `eigen_full` | 2 | | `gpu_kernels` | 10 | | `linalg` | 16 | | `linalg_ext` | 8 | | `matrix_decomp` | 11 | | `matrix_ops` | 12 | | `tensor` | 29 | | `tensor2d` | 11 | | `tensor_ops` | 10 | | `tensorx.buffer` | 7 | | `tensorx.contract` | 7 | | `tensorx.dtype` | 14 | | `tensorx.elementwise` | 5 | | `tensorx.pack` | 12 | | `tensorx.reduce` | 7 | | `tensorx.shape` | 9 | | `time_series_decompose` | 9 | | `vector_kernels.batch_ranker` | 1 | | `vector_kernels.dot` | 4 | | `vector_kernels.ranker` | 1 | | `vector_kernels.repo_ranker` | 1 | | `vector_kernels.table` | 4 | ## Statistics & probability 17 modules. | Module | Functions | | ---------------------- | --------- | | `ab_testing` | 10 | | `bayesian` | 10 | | `distribution_fit` | 10 | | `distributions` | 25 | | `forecasting.interval` | 3 | | `hypothesis` | 6 | | `interval` | 13 | | `ml.naive_bayes` | 8 | | `probability` | 11 | | `regression` | 8 | | `regression_tree` | 8 | | `sampling` | 6 | | `scipy_stats_ops` | 10 | | `stat_tests` | 11 | | `stats` | 14 | | `stats_bootstrap` | 10 | | `timeseries_stats` | 9 | ## Signal & audio 11 modules. | Module | Functions | | ------------------- | --------- | | `acoustics` | 12 | | `audio` | 10 | | `fft` | 7 | | `psychoacoustics` | 10 | | `signal.dsp` | 10 | | `signal.filter` | 11 | | `signal_processing` | 10 | | `spectral` | 10 | | `spectroscopy` | 12 | | `traffic_signal` | 12 | | `wavelet` | 10 | ## Cryptography & hashing 10 modules. | Module | Functions | | ------------------- | --------- | | `crypto.aes_sbox` | 8 | | `crypto.base64` | 4 | | `crypto.chacha20` | 8 | | `crypto.crc32` | 3 | | `crypto.hash_chain` | 9 | | `crypto.hmac` | 2 | | `crypto.pbkdf2` | 7 | | `crypto.uuid` | 2 | | `feature_hashing` | 4 | | `perceptual_hash` | 8 | ## Text & language 6 modules. | Module | Functions | | -------------------- | --------- | | `string_distance` | 10 | | `text.column_scorer` | 4 | | `text.fuzzy` | 7 | | `text.regex` | 7 | | `text.string_utils` | 16 | | `textile` | 12 | ## Graph & automata 23 modules. | Module | Functions | | ---------------------------- | --------- | | `autograd_graph` | 10 | | `cartography` | 12 | | `cellular_automata` | 10 | | `chromatography` | 10 | | `crystallography` | 12 | | `demographics` | 12 | | `graph.algorithms` | 8 | | `graph.weighted` | 9 | | `graph_algorithms` | 10 | | `graph_analytics.adjacency` | 35 | | `graph_analytics.centrality` | 9 | | `graph_analytics.community` | 19 | | `graph_analytics.temporal` | 16 | | `graph_compiler` | 10 | | `graph_decision` | 10 | | `heap` | 13 | | `oceanography` | 10 | | `rag_retrieval` | 10 | | `retrieval.fuse` | 2 | | `retrieval.score` | 8 | | `stratigraphy` | 10 | | `topology` | 10 | | `trie` | 7 | ## Serialization & data 19 modules. | Module | Functions | | ------------------------------------ | --------- | | `compression.delta` | 11 | | `compression.huffman` | 7 | | `compression.lz77` | 6 | | `compression.rle` | 5 | | `data.csv_parser` | 4 | | `data_feedback_loop` | 10 | | `data_pipeline` | 10 | | `data_quality.contract` | 18 | | `data_quality.duplicates` | 4 | | `data_quality.expect` | 6 | | `data_quality.leakage` | 3 | | `data_quality.profile` | 5 | | `json.parser` | 15 | | `json.writer` | 12 | | `metaldispatch.qwen3_decode` | 1 | | `metaldispatch.qwen3_prefill_decode` | 10 | | `model_serialization` | 10 | | `serialization.msgpack` | 10 | | `serialization_io` | 3 | ## Bits, numbers & time 8 modules. | Module | Functions | | ------------------------- | --------- | | `agent_runtime` | 10 | | `bitops` | 13 | | `datetime` | 14 | | `discrete_event.calendar` | 4 | | `number_theory` | 12 | | `sentiment` | 10 | | `stateful_runtime` | 10 | | `time_zone` | 10 | ## Geometry & spatial 13 modules. | Module | Functions | | --------------------- | --------- | | `biogeochemistry` | 10 | | `geochemistry` | 10 | | `geodesy` | 10 | | `geometry` | 9 | | `geophysics` | 10 | | `geospatial.contract` | 19 | | `geospatial.frame` | 8 | | `geospatial.index` | 6 | | `geospatial.join` | 4 | | `geospatial.mapmatch` | 2 | | `geospatial.polygon` | 6 | | `geotechnical` | 12 | | `hydrogeology` | 10 | ## Networking & systems 15 modules. | Module | Functions | | --------------------- | --------- | | `compiler_theory` | 12 | | `epigenetics` | 10 | | `genetic` | 8 | | `kinetics` | 10 | | `magnetism` | 10 | | `memory_system` | 10 | | `net.url` | 7 | | `network_analysis` | 11 | | `network_protocol` | 11 | | `paleomagnetism` | 13 | | `petri_net` | 13 | | `pharmacokinetics` | 12 | | `population_genetics` | 10 | | `social_network` | 9 | | `toxicokinetics` | 10 | ## Finance & business 4 modules. | Module | Functions | | --------------------- | --------- | | `accounting` | 12 | | `finance` | 12 | | `option_greeks_batch` | 1 | | `option_pricing` | 10 | ## General & domain modules 422 modules. | Module | Functions | | -------------------------------------- | --------- | | `accel.contract` | 6 | | `accel.device` | 3 | | `accel.gemm_metal` | 3 | | `actuarial` | 12 | | `adhesives` | 12 | | `aerospace` | 12 | | `agriculture` | 12 | | `agronomy` | 10 | | `allocation` | 10 | | `anomaly` | 10 | | `antenna` | 12 | | `apiculture` | 12 | | `aquaculture` | 12 | | `archaeology` | 12 | | `arima` | 8 | | `astrobiology` | 10 | | `astronomy` | 12 | | `atmospheric_chemistry` | 10 | | `attnk.backward` | 2 | | `attnk.contract` | 10 | | `attnk.flash` | 3 | | `attnk.mask` | 7 | | `attnk.sdpa` | 3 | | `attnk.tiled` | 5 | | `auction` | 11 | | `autograd_ops` | 10 | | `automl` | 4 | | `autonomous_vehicles` | 12 | | `aviation` | 10 | | `battery` | 12 | | `behavioral_economics` | 12 | | `bioinformatics` | 12 | | `biomechanics` | 12 | | `biomedical` | 12 | | `blockchain` | 12 | | `bloom_counting` | 9 | | `boolean_algebra` | 13 | | `brewing` | 12 | | `bryology` | 10 | | `cache` | 8 | | `cardiology` | 10 | | `category_theory` | 10 | | `causal` | 10 | | `cellular` | 11 | | `ceramics` | 12 | | `chaos` | 10 | | `checksum` | 11 | | `climate` | 11 | | `clustering_metrics` | 8 | | `color` | 11 | | `color_check` | 16 | | `color_science` | 12 | | `column_rank` | 1 | | `combinatorial` | 10 | | `combustion` | 12 | | `composites` | 12 | | `concrete` | 12 | | `conformal` | 6 | | `contest_strategy` | 7 | | `continuous_batching` | 10 | | `contrastive_learning` | 10 | | `control` | 9 | | `convex` | 9 | | `copula` | 5 | | `correlation` | 4 | | `corrosion` | 12 | | `cosmology` | 12 | | `cost_router` | 10 | | `counter_rng` | 11 | | `cryogenics` | 12 | | `cryology` | 10 | | `cryptanalysis` | 12 | | `currency` | 12 | | `cytology` | 10 | | `cytometry` | 10 | | `data.dataframe` | 1 | | `database` | 9 | | `decision_analysis` | 10 | | `degradation_state` | 13 | | `dendrochronology` | 10 | | `dendrology` | 12 | | `dentistry` | 12 | | `dependency` | 8 | | `differentiate` | 6 | | `diffusion_models` | 10 | | `dimensionality` | 8 | | `dimensions` | 10 | | `discrete_event.contract` | 18 | | `discrete_event.queue_sim` | 5 | | `discrete_event.replicate` | 2 | | `discrete_event.resource` | 2 | | `discrete_event.warmup` | 2 | | `distillation` | 12 | | `distributed_collectives` | 10 | | `document_layout` | 7 | | `dosimetry` | 10 | | `drones` | 12 | | `earth` | 10 | | `ecohydrology` | 10 | | `ecology` | 12 | | `economic_indicators` | 12 | | `ecophysiology` | 10 | | `election` | 8 | | `electrical` | 14 | | `electrochemistry` | 10 | | `electrostatics` | 10 | | `elevator` | 12 | | `encoding` | 7 | | `encryption_modes` | 12 | | `ensembles` | 4 | | `entomology` | 12 | | `env` | 5 | | `epidemiology` | 10 | | `ergonomics` | 12 | | `esrnn.bias_correction` | 2 | | `esrnn.global_residual` | 7 | | `esrnn.per_frequency` | 2 | | `etiology` | 10 | | `evaluation.binning` | 4 | | `evaluation.contract` | 13 | | `evaluation.gates` | 3 | | `evaluation.resample` | 3 | | `evaluation.scores` | 6 | | `evaluation_feedback` | 10 | | `evolutionary_search` | 7 | | `exactnum.eft` | 24 | | `exactnum.lstsq` | 9 | | `execution_planner` | 10 | | `explainability` | 4 | | `fault_tolerance` | 10 | | `feature_engineering` | 10 | | `feature_selection` | 9 | | `fermentation` | 10 | | `filepath.pathlib` | 8 | | `fire_safety` | 12 | | `fisheries` | 12 | | `fluid` | 12 | | `food_science` | 12 | | `forecast_metrics` | 10 | | `forecasting.backtest` | 4 | | `forecasting.bagging` | 3 | | `forecasting.contract` | 18 | | `forecasting.fitted` | 7 | | `forecasting.hierarchy` | 5 | | `forecasting.intermittent` | 4 | | `forecasting.origin_select` | 3 | | `forecasting.point` | 8 | | `forecasting.pool` | 5 | | `forecasting.select` | 2 | | `forensics` | 12 | | `formal_logic` | 14 | | `fused_kernels` | 10 | | `fuzzy_logic` | 11 | | `game_physics` | 12 | | `game_theory` | 8 | | `gaussian_process` | 5 | | `gbdt` | 4 | | `gemm.blocked` | 4 | | `gemm.contract` | 5 | | `generation_loop` | 10 | | `genomics` | 10 | | `glaciology` | 10 | | `greenhouse` | 12 | | `hematology` | 10 | | `hmm` | 4 | | `horticulture` | 10 | | `hvac` | 12 | | `hybrid_reasoning` | 10 | | `hydraulics` | 12 | | `hydrology` | 12 | | `hydrometeorology` | 10 | | `hydroponics` | 12 | | `imbalance` | 5 | | `immunology` | 10 | | `information_theory` | 10 | | `insurance` | 12 | | `integrate` | 6 | | `interpolate` | 6 | | `inventory` | 11 | | `kalman` | 11 | | `laundry` | 12 | | `lidar` | 12 | | `lidar_mapping` | 10 | | `limnochemistry` | 11 | | `limnology` | 10 | | `linear_models` | 4 | | `linear_programming` | 8 | | `linguistics` | 12 | | `logging.logger` | 1 | | `logic_circuit` | 13 | | `logistics` | 12 | | `lora_adapters` | 10 | | `lottery` | 12 | | `marine` | 12 | | `materials` | 12 | | `metabolomics` | 10 | | `metaldispatch.contract` | 2 | | `metaldispatch.session_prefill_policy` | 5 | | `metallurgy` | 12 | | `meteorology` | 10 | | `metrics_agg` | 12 | | `microbiology` | 10 | | `mineralogy` | 10 | | `mining` | 12 | | `mixture_models` | 5 | | `mixture_of_experts` | 10 | | `ml.classifiers` | 7 | | `ml.clustering` | 4 | | `ml.knn` | 10 | | `ml.metrics` | 7 | | `ml.preprocessing` | 6 | | `ml.random_forest` | 8 | | `mlpk.contract` | 11 | | `mlpk.gated_ffn` | 6 | | `model_abi` | 10 | | `model_compare` | 4 | | `model_interop` | 10 | | `model_parallel` | 10 | | `model_router` | 10 | | `model_selection` | 5 | | `moe_production` | 10 | | `moe_routing` | 10 | | `multi_objective` | 7 | | `multimodal` | 10 | | `museum` | 12 | | `music_theory` | 12 | | `mycology` | 10 | | `nanotechnology` | 12 | | `nephrology` | 10 | | `neuropharmacology` | 10 | | `neurophysics` | 10 | | `nlp` | 11 | | `normk.contract` | 5 | | `normk.rmsnorm` | 4 | | `nuclear` | 12 | | `numerical_stability` | 12 | | `numismatics` | 12 | | `numpy_ops` | 10 | | `nutrition` | 12 | | `observability` | 10 | | `ode` | 8 | | `online_learning` | 10 | | `operations_research` | 13 | | `ophthalmology` | 10 | | `optics` | 10 | | `optimization.assignment` | 7 | | `optimization.explain` | 12 | | `optimization.flow` | 10 | | `optimization.integer` | 6 | | `optimization.linear` | 9 | | `optimization.model` | 37 | | `optimization.multiobjective` | 14 | | `optimization.quadratic` | 8 | | `optimization.robust` | 9 | | `optimization.routing` | 15 | | `optimization.scheduling` | 10 | | `optimization_meta` | 7 | | `optimize` | 8 | | `optmodel.formulation` | 5 | | `optmodel.judge` | 3 | | `optmodel.solve` | 2 | | `orthodontics` | 10 | | `packaging` | 12 | | `paleontology` | 12 | | `palynology` | 10 | | `pandas_groupby` | 10 | | `paper_science` | 12 | | `pattern` | 12 | | `pde` | 10 | | `pedology` | 10 | | `pension` | 12 | | `perfumery` | 12 | | `persistence` | 11 | | `pest_control` | 12 | | `pharmacology` | 10 | | `photonics` | 12 | | `photovoltaics` | 10 | | `physics` | 12 | | `phytochemistry` | 10 | | `pipeline` | 12 | | `pipelines` | 5 | | `plasma_physics` | 10 | | `pls` | 4 | | `plumbing` | 12 | | `pneumatics` | 12 | | `polymer` | 12 | | `polynomial` | 10 | | `population` | 10 | | `positional_encoding` | 10 | | `power_systems` | 12 | | `printing` | 12 | | `privacy` | 10 | | `procurement` | 12 | | `progexec.contract` | 1 | | `progexec.exec` | 1 | | `progexec.roundexact` | 1 | | `project_management` | 12 | | `proteomics` | 10 | | `protocol` | 10 | | `psychometrics` | 12 | | `pulmonology` | 10 | | `quantum` | 11 | | `quantum_computing` | 12 | | `queue_ds` | 12 | | `queueing` | 11 | | `radar` | 12 | | `radiometry` | 10 | | `random_utils` | 7 | | `real_estate` | 12 | | `recommender` | 9 | | `refrigeration` | 12 | | `regex_engine` | 9 | | `reinforcement` | 8 | | `reliability` | 11 | | `rerank_eval` | 9 | | `reservoir` | 7 | | `residentk.contract` | 12 | | `residentk.probe` | 3 | | `rheology` | 10 | | `risk` | 11 | | `rlhf_dpo` | 10 | | `robotics` | 12 | | `robustness` | 8 | | `root_finding` | 9 | | `rubber` | 12 | | `scheduler_ops` | 10 | | `scheduling_algo` | 9 | | `scipy_optimize_ops` | 10 | | `scoring` | 11 | | `security_governance` | 10 | | `sedimentology` | 10 | | `seismology` | 12 | | `semiconductors` | 12 | | `seq_nn` | 9 | | `series` | 10 | | `set_ops` | 12 | | `sheet.api` | 2 | | `sheet.engine` | 1 | | `sheet.formula` | 3 | | `sheet.grid` | 1 | | `sheet.refs` | 7 | | `sheet.values` | 19 | | `silviculture` | 10 | | `simulation` | 8 | | `sketch` | 9 | | `soil_mechanics` | 10 | | `soil_science` | 12 | | `solar_energy` | 12 | | `sorting` | 10 | | `sparse` | 6 | | `sparse_numerics.csr` | 34 | | `sparse_numerics.diagnostics` | 21 | | `sparse_numerics.factor` | 11 | | `sparse_numerics.iterative` | 18 | | `sparse_numerics.spmv` | 16 | | `sparse_vector` | 10 | | `special_functions` | 12 | | `speculative_decoding` | 10 | | `speleology` | 10 | | `sports_analytics` | 12 | | `stochastic` | 10 | | `strategy.contract` | 42 | | `strategy.crn` | 17 | | `strategy.equilibrium` | 22 | | `strategy.policy` | 8 | | `strategy.tournament` | 8 | | `streaming.contract` | 21 | | `streaming.distinct` | 11 | | `streaming.drift` | 8 | | `streaming.frequency` | 16 | | `streaming.quantiles` | 15 | | `streaming.windows` | 10 | | `structs.containers` | 2 | | `structural` | 12 | | `structured_output` | 10 | | `supply_chain` | 12 | | `survival` | 8 | | `survival_analysis.base` | 9 | | `survival_analysis.competing` | 3 | | `survival_analysis.cox` | 3 | | `survival_analysis.hazard` | 2 | | `survival_analysis.km` | 3 | | `survival_analysis.parametric` | 2 | | `sustainability` | 12 | | `svm_kernel` | 9 | | `svm_solver` | 5 | | `taphonomy` | 10 | | `telecommunications` | 12 | | `thermodynamics` | 11 | | `timber` | 12 | | `toxicology` | 12 | | `transform` | 12 | | `transportation` | 12 | | `tribochemistry` | 10 | | `tribology` | 12 | | `ultrasonics` | 10 | | `units` | 8 | | `urban_planning` | 12 | | `vector_search` | 10 | | `vector_similarity` | 10 | | `veterinary` | 12 | | `video_accessibility` | 9 | | `video_color` | 9 | | `video_features` | 5 | | `video_gate` | 6 | | `video_ops` | 8 | | `video_quality` | 6 | | `video_regions` | 7 | | `video_similarity` | 7 | | `video_storyboard` | 6 | | `virology` | 10 | | `viticulture` | 12 | | `volcanology` | 12 | | `voting` | 11 | | `wastewater` | 12 | | `watchmaking` | 12 | | `water_chemistry` | 10 | | `weight_loader` | 10 | | `welding` | 12 | | `wind_energy` | 12 | | `wood_science` | 10 | | `workflow_engine` | 10 | ## Call a module Every module here is callable through the same surface — the HTTP API, the `de` CLI, and the MCP tools. See [Runtime libraries](/engine-runtime/runtime-libraries.md) for the `GET /v1/libraries`, `GET /v1/libraries/health`, and `POST /v1/libraries/execute` details.
Run a library functionList, check, and execute modules over the API, CLI, or MCP.Runtime libraries
Engine catalogThe high-level engines these functions compose into.Engine catalog
How the engine worksWhere the runtime library sits in the architecture.How the engine works
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