rename

README.md

@@ -1,4 +1,4 @@
-# qai-cli
+# qc-cli
 
 A CLI for the Qualcomm model MLOps pipeline — browse and download models from Qualcomm AI Hub, fine-tune them on custom datasets using SageMaker, validate inference, and prepare artifacts for Qualcomm hardware deployment.
 
@@ -6,40 +6,40 @@ A CLI for the Qualcomm model MLOps pipeline — browse and download models from
 
 - Python 3.13+
 - [uv](https://docs.astral.sh/uv/getting-started/installation/)
-- AWS account with credentials configured (`aws configure`) when using `qai-cli infra`
-- AWS CDK CLI (`npm install -g aws-cdk`) when using `qai-cli infra setup` or `qai-cli infra destroy`
+- AWS account with credentials configured (`aws configure`) when using `qc-cli infra`
+- AWS CDK CLI (`npm install -g aws-cdk`) when using `qc-cli infra setup` or `qc-cli infra destroy`
 
 ## Installation
 
 ```bash
 git clone <repo>
-cd qai-cli
+cd qc-cli
 uv sync
 ```
 
-Run commands with `uv run qai-cli <command>` or activate the venv first:
+Run commands with `uv run qc-cli <command>` or activate the venv first:
 
 ```bash
 source .venv/bin/activate
-qai-cli --help
+qc-cli --help
 ```
 
 ## Quick start
 
 ```bash
 # 1. Create config.yaml in the current directory
-qai-cli init
+qc-cli init
 
 # 2. Edit config.yaml — at minimum set s3.bucket and sagemaker.role_name
 
 # 3. Provision AWS infrastructure (S3 bucket + SageMaker IAM role).
 #    This is the step that requires the AWS CDK CLI.
-qai-cli infra setup
+qc-cli infra setup
 ```
 
 ## Configuration
 
-`qai-cli init` writes a `config.yaml` in the current directory. The fields you must fill in before using the tool:
+`qc-cli init` writes a `config.yaml` in the current directory. The fields you must fill in before using the tool:
 
 ```yaml
 aws:
@@ -50,7 +50,7 @@ s3:
   bucket: your-unique-bucket-name
 
 sagemaker:
-  role_name: qai-cli-sagemaker-role
+  role_name: qc-cli-sagemaker-role
 ```
 
 To provision an MLflow tracking server, set:
@@ -74,21 +74,21 @@ mlflow:
 ### `init`
 
 ```
-qai-cli init                  Write config.yaml
-qai-cli init --output <path>  Write config to a custom path
-qai-cli init --force          Overwrite an existing config file
+qc-cli init                  Write config.yaml
+qc-cli init --output <path>  Write config to a custom path
+qc-cli init --force          Overwrite an existing config file
 ```
 
 ### `infra`
 
 ```
-qai-cli infra setup                         Deploy the CDK stack
-qai-cli infra setup --no-bootstrap          Deploy without running CDK bootstrap
-qai-cli infra setup --cloudformation-execution-policy <arn> Set CDK bootstrap execution policy ARN
-qai-cli infra status                        Show CDK stack/resource status
-qai-cli infra destroy                       Destroy stack, retaining S3 data
-qai-cli infra destroy --yes                 Destroy stack without confirmation
-qai-cli infra destroy --delete-bucket-data  Destroy stack and delete S3 data
+qc-cli infra setup                         Deploy the CDK stack
+qc-cli infra setup --no-bootstrap          Deploy without running CDK bootstrap
+qc-cli infra setup --cloudformation-execution-policy <arn> Set CDK bootstrap execution policy ARN
+qc-cli infra status                        Show CDK stack/resource status
+qc-cli infra destroy                       Destroy stack, retaining S3 data
+qc-cli infra destroy --yes                 Destroy stack without confirmation
+qc-cli infra destroy --delete-bucket-data  Destroy stack and delete S3 data
 ```
 
 ## AWS permissions required

pyproject.toml

@@ -3,7 +3,7 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [project]
-name = "qai-cli"
+name = "qc-cli"
 version = "0.1.0"
 description = "CLI for SageMaker ONNX training and Qualcomm AI Hub optimization"
 requires-python = ">=3.13"
@@ -17,7 +17,7 @@ dependencies = [
 ]
 
 [project.scripts]
-qai-cli = "src.main:app"
+qc-cli = "src.main:app"
 
 [tool.hatch.build.targets.wheel]
 packages = ["src"]

src/commands/utils.py

@@ -14,7 +14,7 @@ def load_config(path: str = "config.yaml") -> Config:
     config_path = Path(path)
     if not config_path.exists():
         raise FileNotFoundError(
-            f"Config file not found: {config_path}. Run 'qai-cli init' to create one."
+            f"Config file not found: {config_path}. Run 'qc-cli init' to create one."
         )
     with open(config_path) as f:
         data = yaml.safe_load(f)

src/config.py

@@ -39,7 +39,7 @@ class TrainingConfig(BaseModel):
 
 
 class SageMakerConfig(BaseModel):
-    role_name: str = "qai-cli-sagemaker-role"
+    role_name: str = "qc-cli-sagemaker-role"
     training: TrainingConfig = Field(default_factory=TrainingConfig)
 
 

src/infra/state.py

@@ -2,7 +2,7 @@ import json
 from pathlib import Path
 from typing import Any
 
-INFRA_STATE_FILE = ".qai-cli-infra.json"
+INFRA_STATE_FILE = ".qc-cli-infra.json"
 
 
 def state_path(config_dir: str) -> Path:

src/main.py

@@ -8,7 +8,7 @@ from src.commands import infra
 from src.config import Config
 
 app = typer.Typer(
-    help="qai-cli: End-to-end model managment for Qualcomm AI Hub.",
+    help="qc-cli: End-to-end model managment for Qualcomm AI Hub.",
     no_args_is_help=True,
 )
 app.add_typer(infra.app, name="infra")

uv.lock

@@ -451,7 +451,7 @@ wheels = [
 ]
 
 [[package]]
-name = "qai-cli"
+name = "qc-cli"
 version = "0.1.0"
 source = { editable = "." }
 dependencies = [