maintain-optimizer
SolidMaintain or extend the NeMo Relay adaptive surface across config, plugins, docs, and bindings; use this when users still say optimizer
AI & Automation 122 stars
57 forks Updated today Apache-2.0
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Skill Content
# Maintain Adaptive Surfaces
## Companion Guidance
Use `karpathy-guidelines` alongside this skill for implementation or review
work. Keep changes scoped, surface assumptions, and define focused validation
before editing.
Use this skill when changing adaptive config schema, built-in sections, shared
plugin lifecycle, plugin registration, or binding-native helper
APIs.
## Public Boundary
The stable adaptive boundary is the config document plus the shared plugin
lifecycle:
- Config types and policies
- Built-in adaptive section helpers
- Plugin registration and composition
- Plugin lifecycle
- Reports and diagnostics
There is no separate public adaptive runtime handle.
See `docs/plugins/adaptive/configuration.md` and
`docs/about/concepts/plugins.md`.
## Keep In Sync
- `crates/adaptive`
- Shared plugin behavior in core and bindings
- Python adaptive/plugin wrappers in `python/nemo_relay/adaptive.py` and
`python/nemo_relay/plugin.py`
- Go adaptive helpers under `go/nemo_relay/adaptive` plus shared plugin
helpers in `go/nemo_relay`
- Node.js adaptive helpers and plugin wrappers
- Docs and examples that show canonical config shapes
## Checklist
- [ ] Dynamic config shape still matches the documented canonical model
- [ ] Typed helper constructors still map cleanly to the same config document
- [ ] Plugin lifecycle is consistent across languages
- [ ] Plugin context surfaces remain aligned
- [ ] Validation/report behavior remains documented and tested
- [ ] Any new co...
Details
- Author
- NVIDIA
- Repository
- NVIDIA/NeMo-Relay
- Created
- 4 months ago
- Last Updated
- today
- Language
- Rust
- License
- Apache-2.0
Integrates with
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