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11 changes: 11 additions & 0 deletions acceptance/air/config-help/output.txt
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,17 @@ Global Flags:
config
The run YAML schema. Pass a field path for details, e.g. config.compute.accelerator_type.

AI coding agents can use the databricks-ai-runtime skill to write workload
YAML, submit runs, and monitor progress.

Install the skill locally for your coding agent:

databricks aitools install --skills-only --skills databricks-ai-runtime --experimental

Follow the prompts to choose your coding agent and installation scope.
Use --scope project to install into the current project.
See: https://github.com/databricks/databricks-agent-skills/tree/main/experimental/databricks-ai-runtime

Fields:
experiment_name (required) Name of the experiment.
compute (required) Which accelerators to run on and how many.
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15 changes: 13 additions & 2 deletions cmd/air/runconfig.go
Original file line number Diff line number Diff line change
Expand Up @@ -530,8 +530,19 @@ type configField struct {
// `-h config.<field>` and --override path validation resolve against it.
func configSchema() configField {
return configField{
path: configHelpRoot,
help: "The run YAML schema. Pass a field path for details, e.g. " + configHelpRoot + ".compute.accelerator_type.",
path: configHelpRoot,
help: "The run YAML schema. Pass a field path for details, e.g. " + configHelpRoot + `.compute.accelerator_type.

AI coding agents can use the databricks-ai-runtime skill to write workload
YAML, submit runs, and monitor progress.

Install the skill locally for your coding agent:

databricks aitools install --skills-only --skills databricks-ai-runtime --experimental

Follow the prompts to choose your coding agent and installation scope.
Use --scope project to install into the current project.
See: https://github.com/databricks/databricks-agent-skills/tree/main/experimental/databricks-ai-runtime`,
children: describeStruct(reflect.TypeFor[runConfig](), configHelpRoot),
}
}
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