This release is a pre-release and may not be stable for production use.
NVIDIA NeMo Fabric Adapter Catalog
nemo-fabric-adapter-catalog provides release snapshots of the bundled Python and TypeScript adapter descriptors and their registered targets. It has no runtime dependencies and imports no adapter code or harness SDKs.
Install And Inspect
Install the matching catalog release:
pip install nemo-fabric-adapter-catalog
Look up a descriptor by its exact ID:
from nemo_fabric_adapter_catalog import get_adapter_descriptor, get_target_descriptor
adapter = get_adapter_descriptor("nvidia.fabric.codex")
print(adapter["config"]["accepts"])
target = get_target_descriptor("nvidia.nooa.arc-solver")
Each call returns a fresh dictionary containing the canonical descriptor object. Unknown IDs raise KeyError; lookup does not guess an adapter or fall back to another version. Catalog-format errors and unreadable or malformed resources propagate as errors.
Supported API
Consumers should use get_adapter_descriptor() and get_target_descriptor(). Returned descriptors follow the Fabric adapter descriptor contract. The package's resource files, including catalog.json, their layout, and their metadata fields are internal implementation details and can change between releases. Do not read these resources directly; the lookup functions keep consumers independent of the bundle's storage format.
Metadata Is Not Execution
The bundle is a package resource, not an installed descriptor under share/nemo-fabric. Installing it does not register executable adapters or change NeMo Fabric runner selection, including when it is co-installed with adapter packages. Task execution continues to discover and validate task-owned descriptors, runners, and harness dependencies through the existing runtime APIs.
A snapshot claim is not proof of the task environment's capabilities. Pin compatible releases and compare the snapshot with the actual task descriptor before relying on it. A provider declaring ATIF support does not establish that it is enabled or that an artifact was produced. Capability normalization, host/task compatibility enforcement, and runtime-observed provenance are separate concerns, not implemented by this package.
Maintain The Bundle
scripts/ci/generate_adapter_catalog.py collects canonical descriptors from leaf packages under adapters/python/ and adapters/typescript/. It also includes targets under each leaf's targets/ directory. Common support packages, presets, fixtures, and source-only external integrations are excluded. There is no adapter-ID allowlist.
The generated catalog.json keeps source package names, declared versions, paths, ecosystems, and fingerprints outside the descriptor objects. SHA-256 uses UTF-8 JSON with sorted keys, compact separators, and unescaped Unicode. These fields describe the release snapshot, not software observed during execution. The resource format is versioned separately from the adapter contract; use the lookup functions rather than depending on its layout.
just adapter-catalog
just check-adapter-catalog
uv build --wheel --sdist --out-dir dist sdk/python/nemo-fabric-adapter-catalog
just set-version refreshes the bundle after stamping Python and TypeScript versions. Python tests and wheel builds reject stale bundles. Wheels and source distributions contain the bundle and build independently of the adapter source tree.
Metadata
Release files for nemo-fabric-adapter-catalog 0.5.0b1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nemo_fabric_adapter_catalog-0.5.0b1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / nemo_fabric_adapter_catalog-0.5.0b1-py3-none-any.whl
| Download URL | nemo_fabric_adapter_catalog-0.5.0b1-py3-none-any.whl |
|---|---|
| Size | 15.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
0c3e9b34d9e7e9b1eca256be4535f2fc18681dbaaa8a8747cd9961d4290f2cba
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/7.0.0 CPython/3.14.7
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