algenta 1.0.4

Algenta repository intelligence and computational runtime CLI with an automatically installed native runtime.

algenta

algenta is the public Python facade and CLI for Algenta's local native runtime. The matching platform runtime is installed automatically as a required dependency. Users do not install Mojo, compile binaries, launch a daemon, or configure a side process.

For the typed HTTP-only client, use algenta-sdk instead.

Install

python3.14 -m venv .venv
source .venv/bin/activate
pip install algenta

Supported release targets:

• macOS Apple Silicon
• Linux x86-64
• Python 3.14

Package resolution fails on an unsupported platform instead of installing a runtime that cannot execute.

Verify

algenta version
algenta runtime doctor
algenta simulate
algenta benchmark

benchmark reports cold startup separately from warm native executions. It does not use a Python compute fallback or print a synthetic speedup.

Runtime libraries

The installed contract contains 472 modules and 4,757 callable functions. Discover and execute them without starting another service:

algenta runtime modules
algenta runtime functions vector_kernels.dot
algenta runtime execute vector_kernels.dot dot64_f32 \
  --args-json '{"a":[1,2,6],"b":[3,2,1]}'

The same surface is available from Python:

from algenta import MojoRuntime

runtime = MojoRuntime(mode="local")

print(runtime.health())
print(runtime.list_functions("vector_kernels.dot"))

result = runtime.execute(
    "vector_kernels.dot",
    "dot64_f32",
    {"a": [1, 2, 6], "b": [3, 2, 1]},
)

if not result["success"]:
    raise RuntimeError(result["error"])

print(result["result"])       # 13.0
print(result["latency_ms"])
print(result["engine_used"])  # mojo

The runtime validates module names, function names, argument counts, scalar and list types, and public struct fields before execution.

Local data helpers

algenta import orders.csv --name orders
algenta map orders.csv
algenta query "revenue by region" orders.csv
algenta demo

These commands are local helpers. The governed hosted or self-hosted data/query surface is available through API mode.

API mode

Install the cloud extra when the same facade should call an Algenta deployment:

pip install "algenta[cloud]"

import os

from algenta import Runtime

runtime = Runtime(
    mode="self_hosted",
    api_key=os.environ["ALGENTA_API_KEY"],
    base_url="http://localhost:8000",
)

datasets = runtime.list_datasets(search="orders", compact=True)
print(datasets)

Private deployment modes require an explicit base URL and fail closed instead of silently using Algenta cloud.

Contract discovery

The facade exports the generated public query contract, so applications can discover endpoint and filter capabilities without hard-coded paths:

from algenta import PRIMARY_DATA_QUERY_CONTRACT

print(PRIMARY_DATA_QUERY_CONTRACT["api"]["contract_endpoint"])

The API publishes its OpenAPI document at /openapi.json and identifies the active query contract with x-primary-data-query-contract. The main HTTP facade methods are get_contract(), list_connectors(), connect_data(), get_dataset(), get_dataset_summary(), refresh_dataset(), delete_dataset(), query_batch(), and query_sql_report(). Runtime evidence is discoverable through get_runtime_manifest(), get_runtime_modules(), get_runtime_benchmarks(), and get_runtime_release_validation().

Runtime(mode="api") targets Algenta cloud. Runtime(mode="self_hosted") requires base_url to point at your own service and intentionally fails closed when that configuration is missing.

Unified Capability Plane

The same facade routes datasets, skills, MCP tools, and runtime libraries:

route = runtime.route_capabilities(
    {
        "objective": "Investigate the latest checkout incident",
        "kinds": ["dataset", "skill", "mcp_tool", "runtime_library"],
    }
)

capability = runtime.get_capability(
    route.selected_capability_id,
    include_instruction=True,
)
execution = runtime.execute_capability(
    {
        "capability_id": route.selected_capability_id,
        "binding_id": route.selected_binding_id,
        "input": {"objective": "Investigate the latest checkout incident"},
    }
)
providers = runtime.list_capability_providers()
skills = runtime.list_skills()
mcp_providers = runtime.list_mcp_providers()

Local runtime execution fails closed for algenta_managed capabilities. Use Runtime(mode="api") or Runtime(mode="self_hosted") for those routes. Local adapters registered with runtime.register_capability_adapter(adapter) execute only client_managed capabilities. Full route and execution examples are in examples/capability-plane/ and examples/langgraph/capability_router.py.

Authentication

algenta login stores API and license credentials only in the operating-system credential store. If no secure keyring backend is available, storage fails explicitly; set ALGENTA_API_KEY in the process environment instead.

algenta login
algenta whoami

The runtime wheel is verified against its signed manifest and platform tag before public release execution. Release mode denies unverified overrides and does not open a TCP listener.

MCP

The MCP client is a separate, thin package because it connects editors and agents to hosted or self-hosted Algenta:

pipx install algenta-mcp
algenta-mcp

Or install the optional dependency with this package:

pip install "algenta[mcp]"
algenta mcp

Its runtime tools are list_runtime_libraries and execute_runtime_library.

Links

• Documentation
• Python and CLI install guide
• Python SDK reference
• Runtime libraries
• Source
• Issues