Jetson Video Capability

Jetson Video Capability

Keep three authorities separate:

• API query: raw fields, never operation or product-support proof.
• Authenticated NVIDIA sample: report or exact operation evidence.
• Applicable NVIDIA documentation: product-support verdict.

Scope gates

• For a request solely for PSNR, SSIM, or other objective quality metrics, say this skill does not provide them and a separately authorized quality workflow is required; do nothing else.
• For Netflix, Widevine, PlayReady, or clearly content-protected streaming, state only that this skill covers hardware encode/decode of user-supplied non-DRM bitstreams, not content-DRM playback. Do not claim whether the service works, describe Jetson certification, CDM, or secure-playback requirements, or recommend a browser, DRM module, workaround, or bypass; then stop. An unqualified “DRM” may mean Linux DRM/KMS; ask which meaning if context does not resolve it.
• A bare “video SDK” is ambiguous: ask native Video Codec SDK, PyNvVideoCodec, or both before probing. An otherwise unqualified capability request uses the native-preferred fallback in surface-selection-contract.md.

Read-only discovery

Capability work depends on jetson-video-setup for a fresh, read-only installation check. Invoke that skill through public dispatch and consume its reported exact native package/Samples root or exact PyNvVideoCodec interpreter, version, and loaded module path. Do not locate or import setup's files. A missing or mismatched surface is unknown/not_ready, never codec unsupported; route repair to setup without mutating anything here.

Engine capability queries belong here, not in setup. For PyNvVideoCodec, use the exact selected interpreter to call the public GetEncoderCaps and GetDecoderCaps APIs as described in capability-queries.md. A broad encoder catalog covers H.264, HEVC, and AV1; a broad decoder catalog covers all ten families across four chroma formats and three bit depths (120 exact tuples). A bounded request queries only named members of the applicable catalog set. Preserve every scoped record, error, and GPU ordinal. Nonzero-GPU helper results remain unknown when the public helper selects only GPU 0.

For native reports, reuse authenticated package-owned binaries or build only the required report target in a fresh user-owned tree, then run AppEncCuda -ec and/or AppDec -dc using the build, identity, and grammar rules in the capability reference. A query-only request does not authorize package installation or an encode/decode operation. If the package, source, tool, interpreter, or runtime-library identity cannot be established, report the result unknown and name the missing setup prerequisite.

Decision flow

1. Classify scope and selected surface before any probe.
2. Query only the selected surface. Preserve raw records, errors, exact GPU, release, interpreter/binary identities, argv, and evidence classification.
3. Resolve the most exact live product identity using the device-tree paths and NUL handling in capability-queries.md, then cross-check it against NVIDIA's current Video Encode and Decode Support Matrix and the release-matched SDK 13.0 NVENC or NVDEC application note. Never infer SKU from memory, engine count, capability fields, or operation behavior. Preserve source URL, retrieval date, table title, exact row/column labels, and cell value, using that reference's manual capture record. Generic family identity stays non-exact; use candidate-row consensus only when every authenticated candidate agrees.
4. Report documentation No as the final unsupported product verdict even if an API or diagnostic operation is positive; this ends the normal availability check. Documentation Yes establishes documented support; live availability additionally needs the matching authenticated operation. Missing, unretrievable, or conflicting documentation remains unknown. When documentation is unknown, do not present positive capability fields as available options: label each affected codec unknown beside them and state the retrieval failure with the verdict.
5. For a PyNvVideoCodec encode-availability operation, request setup's full-samples profile and carry its exact interpreter into the recipe and pipeline stages. Do not select the smaller decode-performance/smoke profile.
6. Run an exact operation only when the user requests live availability and documentation is positive or unknown, or explicitly requests a diagnostic despite a negative verdict. A diagnostic under documentation No reports only operation_verified or operation_failed for that exact tuple and never changes the unsupported product verdict. A tuple is the exact surface, GPU, codec, profile, chroma, bit depth, dimensions, input format, and control set tested. Resolve one recipe with jetson-video-recipe, then use jetson-video-pipeline for encode followed by independent decode of the exact output identity. A failed tuple never generalizes to the product.