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@ -58,7 +58,7 @@ getting_started/index
concepts/index
distributions/index
building_applications/index
ui/index
playground/index
contributing/index
references/index
cookbooks/index

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# Playground UI
# Llama Stack Playground
```{note}
Playground UI is currently experimental and subject to change. We welcome feedback and contributions to help improve it.
The Llama Stack Playground is currently experimental and subject to change. We welcome feedback and contributions to help improve it.
```
Llama Stack Playground UI is an simple interface aims to:
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 analyze Llama Stack API providers and resources
- Provide an **UI** to help users inspect and understand Llama Stack API providers and resources
## Key Features
@ -24,7 +24,7 @@ Interactive pages for users to play with and explore Llama Stack API capabilitie
: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.
- 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.
@ -60,7 +60,7 @@ Interactive pages for users to play with and explore Llama Stack API capabilitie
--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"}}}'
--schema '{"input_query": {"type": "string"}, "expected_answer": {"type": "string"}, "chat_completion_input": {"type": "string"}}'
```
```bash
@ -90,9 +90,9 @@ Interactive pages for users to play with and explore Llama Stack API capabilitie
- 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 Playground UI
## Starting the Llama Stack Playground
To start the Playground UI, run the following commands:
To start the Llama Stack Playground, run the following commands:
1. Start up the Llama Stack API server