[docs] add playground ui docs (#592)

# What does this PR do?

- add docs for playground



https://github.com/user-attachments/assets/ddc5edce-eced-4a68-91da-8709005fa531



## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Ran pre-commit to handle lint / formatting issues.
- [ ] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.

docs/requirements.txt

@@ -10,3 +10,4 @@ sphinx-design
 sphinxcontrib-openapi
 sphinxcontrib-redoc
 sphinxcontrib-mermaid
+sphinxcontrib-video

docs/source/conf.py

@@ -29,6 +29,7 @@
     "sphinx_design",
     "sphinxcontrib.redoc",
     "sphinxcontrib.mermaid",
+    "sphinxcontrib.video",
 ]
 myst_enable_extensions = ["colon_fence"]
 

docs/source/index.md

@@ -59,6 +59,7 @@ getting_started/index
 concepts/index
 distributions/index
 building_applications/index
+playground/index
 contributing/index
 references/index
 cookbooks/index

docs/source/playground/index.md

@@ -0,0 +1,109 @@
+# Llama Stack Playground
+
+```{note}
+The Llama Stack Playground is currently experimental and subject to change. We welcome feedback and contributions to help improve it.
+```
+
+The Llama Stack Playground is an simple interface which aims to:
+- Showcase **capabilities** and **concepts** of Llama Stack in an interactive environment
+- Demo **end-to-end** application code to help users get started to build their own applications
+- Provide an **UI** to help users inspect and understand Llama Stack API providers and resources
+
+## Key Features
+
+#### Playground
+Interactive pages for users to play with and explore Llama Stack API capabilities.
+
+##### Chatbot
+```{eval-rst}
+.. video:: https://github.com/user-attachments/assets/6ca617e8-32ca-49b2-9774-185020ff5204
+    :autoplay:
+    :playsinline:
+    :muted:
+    :loop:
+    :width: 100%
+```
+- **Chat**: Chat with Llama models.
+  - This page is a simple chatbot that allows you to chat with Llama models. Under the hood, it uses the `/inference/chat-completion` streaming API to send messages to the model and receive responses.
+- **RAG**: Uploading documents to memory_banks and chat with RAG agent
+  - This page allows you to upload documents as a `memory_bank` and then chat with a RAG agent to query information about the uploaded documents.
+  - Under the hood, it uses Llama Stack's `/agents` API to define and create a RAG agent and chat with it in a session.
+
+##### Evaluations
+```{eval-rst}
+.. video:: https://github.com/user-attachments/assets/6cc1659f-eba4-49ca-a0a5-7c243557b4f5
+    :autoplay:
+    :playsinline:
+    :muted:
+    :loop:
+    :width: 100%
+```
+- **Evaluations (Scoring)**: Run evaluations on your AI application datasets.
+  - This page demonstrates the flow evaluation API to run evaluations on your custom AI application datasets. You may upload your own evaluation datasets and run evaluations using available scoring functions.
+  - Under the hood, it uses Llama Stack's `/scoring` API to run evaluations on selected scoring functions.
+
+```{eval-rst}
+.. video:: https://github.com/user-attachments/assets/345845c7-2a2b-4095-960a-9ae40f6a93cf
+    :autoplay:
+    :playsinline:
+    :muted:
+    :loop:
+    :width: 100%
+```
+- **Evaluations (Generation + Scoring)**: Use pre-registered evaluation tasks to evaluate an model or agent candidate
+  - This page demonstrates the flow for evaluation API to evaluate an model or agent candidate on pre-defined evaluation tasks. An evaluation task is a combination of dataset and scoring functions.
+  - Under the hood, it uses Llama Stack's `/eval` API to run generations and scorings on specified evaluation configs.
+  - In order to run this page, you may need to register evaluation tasks and datasets as resources first through the following commands.
+  ```bash
+    $ llama-stack-client datasets register \
+    --dataset-id "mmlu" \
+    --provider-id "huggingface" \
+    --url "https://huggingface.co/datasets/llamastack/evals" \
+    --metadata '{"path": "llamastack/evals", "name": "evals__mmlu__details", "split": "train"}' \
+    --schema '{"input_query": {"type": "string"}, "expected_answer": {"type": "string"}, "chat_completion_input": {"type": "string"}}'
+    ```
+
+    ```bash
+    $ llama-stack-client eval_tasks register \
+    --eval-task-id meta-reference-mmlu \
+    --provider-id meta-reference \
+    --dataset-id mmlu \
+    --scoring-functions basic::regex_parser_multiple_choice_answer
+    ```
+
+
+##### Inspect
+```{eval-rst}
+.. video:: https://github.com/user-attachments/assets/01d52b2d-92af-4e3a-b623-a9b8ba22ba99
+    :autoplay:
+    :playsinline:
+    :muted:
+    :loop:
+    :width: 100%
+```
+- **API Providers**: Inspect Llama Stack API providers
+  - This page allows you to inspect Llama Stack API providers and resources.
+  - Under the hood, it uses Llama Stack's `/providers` API to get information about the providers.
+
+- **API Resources**: Inspect Llama Stack API resources
+  - This page allows you to inspect Llama Stack API resources (`models`, `datasets`, `memory_banks`, `eval_tasks`, `shields`).
+  - Under the hood, it uses Llama Stack's `/<resources>/list` API to get information about each resources.
+  - Please visit [Core Concepts](https://llama-stack.readthedocs.io/en/latest/concepts/index.html) for more details about the resources.
+
+## Starting the Llama Stack Playground
+
+To start the Llama Stack Playground, run the following commands:
+
+1. Start up the Llama Stack API server
+
+```bash
+llama stack build --template together --image-type conda
+llama stack run together
+```
+
+2. Start Streamlit UI
+```bash
+cd llama_stack/distribution/ui
+pip install -r requirements.txt
+streamlit run app.py
+```