update getting started guide

docs/getting_started.md

@@ -28,6 +28,7 @@ Build spec configuration saved at ~/.conda/envs/llamastack-my-local-llama-stack/
 ```
 
 **`llama stack configure`**
+- Run `llama stack configure <name>` with the name you have previously defined in `build` step.
 ```
 llama stack configure my-local-llama-stack
 
@@ -61,6 +62,7 @@ You can now run `llama stack run my-local-llama-stack --port PORT` or `llama sta
 ```
 
 **`llama stack run`**
+- Run `llama stack run <name>` with the name you have previously defined.
 ```
 llama stack run my-local-llama-stack
 
@@ -110,74 +112,83 @@ In the following steps, imagine we'll be working with a `Meta-Llama3.1-8B-Instru
   - `providers`: specifies the underlying implementation for serving each API endpoint
   - `image_type`: `conda` | `docker` to specify whether to build the distribution in the form of Docker image or Conda environment.
 
-#### Build a local distribution with conda
-The following command and specifications allows you to get started with building.
+
+At the end of build command, we will generate `<name>-build.yaml` file storing the build configurations.
+
+#### Building from scratch
+- For a new user, we could start off with running `llama stack build` which will allow you to a interactively enter wizard where you will be prompted to enter build configurations.
 ```
-llama stack build <path/to/config>
+llama stack build
 ```
-- You will be required to pass in a file path to the build.config file (e.g. `./llama_stack/distribution/example_configs/conda/local-conda-example-build.yaml`). We provide some example build config files for configuring different types of distributions in the `./llama_stack/distribution/example_configs/` folder.
 
-The file will be of the contents
+Running the command above will allow you to fill in the configuration to build your Llama Stack distribution, you will see the following outputs.
+
 ```
-$ cat ./llama_stack/distribution/example_configs/conda/local-conda-example-build.yaml
+> Enter an unique name for identifying your Llama Stack build distribution (e.g. my-local-stack): my-local-llama-stack
+> Enter the image type you want your distribution to be built with (docker or conda): conda
 
-name: 8b-instruct
-distribution_spec:
-  distribution_type: local
-  description: Use code from `llama_stack` itself to serve all llama stack APIs
-  docker_image: null
-  providers:
-    inference: meta-reference
-    memory: meta-reference-faiss
-    safety: meta-reference
-    agentic_system: meta-reference
-    telemetry: console
-image_type: conda
+ Llama Stack is composed of several APIs working together. Let's configure the providers (implementations) you want to use for these APIs.
+> Enter the API provider for the inference API: (default=meta-reference): meta-reference
+> Enter the API provider for the safety API: (default=meta-reference): meta-reference
+> Enter the API provider for the agents API: (default=meta-reference): meta-reference
+> Enter the API provider for the memory API: (default=meta-reference): meta-reference
+> Enter the API provider for the telemetry API: (default=meta-reference): meta-reference
+
+ > (Optional) Enter a short description for your Llama Stack distribution:
+
+Build spec configuration saved at ~/.conda/envs/llamastack-my-local-llama-stack/my-local-llama-stack-build.yaml
 ```
 
-You may run the `llama stack build` command to generate your distribution with `--name` to override the name for your distribution.
+#### Building from templates
+- To build from alternative API providers, we provide distribution templates for users to get started building a distribution backed by different providers.
+
+The following command will allow you to see the available templates and their corresponding providers.
 ```
-$ llama stack build ~/.llama/distributions/conda/8b-instruct-build.yaml --name 8b-instruct
-...
-...
-Build spec configuration saved at ~/.llama/distributions/conda/8b-instruct-build.yaml
+llama stack build --list-templates
 ```
 
-After this step is complete, a file named `8b-instruct-build.yaml` will be generated and saved at `~/.llama/distributions/conda/8b-instruct-build.yaml`.
+![alt text](list-templates.png)
+
+You may then pick a template to build your distribution with providers fitted to your liking.
+
+```
+llama stack build --template local-tgi --name my-tgi-stack
+```
+
+```
 
+```
+
+#### Building from config file
+- In addition to templates, you may customize the build to your liking through editing config files and build from config files with the following command.
 
-#### How to build distribution with different API providers using configs
-To specify a different API provider, we can change the `distribution_spec` in our `<name>-build.yaml` config. For example, the following build spec allows you to build a distribution using TGI as the inference API provider.
+- The config file will be of contents like the ones in `llama_stack/distributions/templates/`.
 
 ```
-$ cat ./llama_stack/distribution/example_configs/conda/local-tgi-conda-example-build.yaml
+$ cat llama_stack/distribution/templates/local-ollama-build.yaml
 
-name: local-tgi-conda-example
+name: local-ollama
 distribution_spec:
-  description: Use TGI (local or with Hugging Face Inference Endpoints for running LLM inference. When using HF Inference Endpoints, you must provide the name of the endpoint).
-  docker_image: null
+  description: Like local, but use ollama for running LLM inference
   providers:
-    inference: remote::tgi
-    memory: meta-reference-faiss
+    inference: remote::ollama
+    memory: meta-reference
     safety: meta-reference
-    agentic_system: meta-reference
-    telemetry: console
+    agents: meta-reference
+    telemetry: meta-reference
 image_type: conda
 ```
 
-The following command allows you to build a distribution with TGI as the inference API provider, with the name `tgi`.
 ```
-llama stack build ./llama_stack/distribution/example_configs/conda/local-tgi-conda-example-build.yaml --name tgi
+llama stack build --config llama_stack/distribution/templates/local-ollama-build.yaml
 ```
 
-We provide some example build configs to help you get started with building with different API providers.
+After this step is complete, a file named `8b-instruct-build.yaml` will be generated and saved at `~/.llama/distributions/conda/8b-instruct-build.yaml`.
 
 #### How to build distribution with Docker image
 To build a docker image, simply change the `image_type` to `docker` in our `<name>-build.yaml` file, and run `llama stack build <name>-build.yaml`.
 
 ```
-$ cat ./llama_stack/distribution/example_configs/docker/local-docker-example-build.yaml
-
 name: local-docker-example
 distribution_spec:
   description: Use code from `llama_stack` itself to serve all llama stack APIs
@@ -206,7 +217,7 @@ Build spec configuration saved at /home/xiyan/.llama/distributions/docker/docker
 ## Step 2. Configure
 After our distribution is built (either in form of docker or conda environment), we will run the following command to
 ```
-llama stack configure [<path/to/name.build.yaml> | <docker-image-name>]
+llama stack configure [ <name> | <docker-image-name> | <path/to/name.build.yaml>]
 ```
 - For `conda` environments: <path/to/name.build.yaml> would be the generated build spec saved from Step 1.
 - For `docker` images downloaded from Dockerhub, you could also use <docker-image-name> as the argument.
@@ -298,7 +309,7 @@ INFO:     Uvicorn running on http://[::]:5000 (Press CTRL+C to quit)
 ```
 
 > [!NOTE]
-> Configuration is in `~/.llama/builds/local/conda/8b-instruct.yaml`. Feel free to increase `max_seq_len`.
+> Configuration is in `~/.llama/builds/local/conda/8b-instruct-run.yaml`. Feel free to increase `max_seq_len`.
 
 > [!IMPORTANT]
 > The "local" distribution inference server currently only supports CUDA. It will not work on Apple Silicon machines.