aicore-lifecycle-management

Rules

1. Run all scripts from the skill root directory with uv run scripts/<name>.py.
2. Never print or log credential values — the SDK reads them from the environment.
3. Scripts that delete or mutate state require --confirm. Always pass it explicitly; never bypass it.
4. When the user does not specify a resource group, omit --resource-group so the SDK uses its configured default.
5. For LLM deployments: the scenario ID, executable ID, and model parameter names come from genai-hub-foundation-models — invoke it first if those values are unknown.
6. Deployment configuration naming convention: use {executable_id}--{model_name} for LLM deployments (e.g. azure-openai--gpt-4o-mini). Before creating a configuration, check whether one with that name already exists via get_configurations.py --scenario-id <id> and reuse it to avoid duplicates.

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List / Inspect Scenarios

# List all scenarios
uv run scripts/get_scenarios.py

# Inspect a specific scenario and its versions
uv run scripts/get_scenarios.py --scenario-id <id>
uv run scripts/get_scenarios.py --scenario-id <id> --response-format detailed

# JSON output for piping
uv run scripts/get_scenarios.py --json

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List Executables

# List executables for a scenario
uv run scripts/get_executables.py --scenario-id <id>

# Inspect a specific executable (includes parameters and input artifacts)
uv run scripts/get_executables.py --scenario-id <id> --executable-id <id>
uv run scripts/get_executables.py --scenario-id <id> --executable-id <id> --response-format detailed

# JSON output
uv run scripts/get_executables.py --scenario-id <id> --json

Parameters are only returned when inspecting a single executable (--executable-id). The list view returns id, name, and description only.

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Configurations

# List configurations
uv run scripts/get_configurations.py
uv run scripts/get_configurations.py --scenario-id <id>
uv run scripts/get_configurations.py --response-format detailed
uv run scripts/get_configurations.py --json

# Inspect a specific configuration
uv run scripts/get_configurations.py --configuration-id <id>

# Create a configuration (binds parameters to an executable)
uv run scripts/create_configuration.py \
  --name my-config \
  --scenario-id <id> \
  --executable-id <id> \
  --param modelName=gpt-4o \
  --param temperature=0.7