# What does this PR do?
This PR cleans up the sidebar on the tools page of the playground in the
following ways:
* created a clearer hierarchy of configuration options and tool
selections.
* Removed the `mcp::` or `builtin::` prefixes from the tool selection
buttons.
[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])
## Test Plan
Run the playground and see the updated sidebar does not cause any new
errors.
```
streamlit run llama_stack/distribution/ui/app.py
```
[//]: # (## Documentation)
Signed-off-by: Michael Clifford <mcliffor@redhat.com>
# What does this PR do?
This PR lets users select an existing vdb to use with their agent on the
tools page of the playground. The drop down menu that lets users select
a vdb only appears when the rag tool is selected. Without this change,
there is no way for a user to specify which vdb they want their rag tool
to use on the tools page. I have intentionally left the RAG options
sparse here since the full RAG options are exposed on the RAG page.
## Test Plan
Without these changes the RAG tool will throw the following error:
`name: knowledge_search) does not have any content `
With these changes the RAG tool works as expected.
Signed-off-by: Michael Clifford <mcliffor@redhat.com>
# What does this PR do?
This PR adds a `max_tokens` slider to playground tools page. I have
found that in some instances the llama stack server throws a 500 error
if the max_tokens value is not explicitly set in the agent's
`sampling_params`. This PR, uses the same implementation of the
`max_tokens` slider from the chat page, and includes it on the tools
page.
## Test Plan
1. Attempting to call a tool without these changes results in a `500:
Internal server error: An unexpected error occurred`.
2. Attempting to call a tool with these changes results in the expected
output.
Signed-off-by: Michael Clifford <mcliffor@redhat.com>
# What does this PR do?
This PR adds an additional page to the playground called "Tools". This
page connects to a llama-stack server and lists all the available LLM
models, builtin tools and MCP tools in the sidebar. Users can select
whatever combination of model and tools they want from the sidebar for
their agent. Once the selections are made, users can chat with their
agent similarly to the RAG page and test out agent tool use.
closes#1902
## Test Plan
Ran the following commands with a llama-stack server and the updated
playground worked as expected.
```
export LLAMA_STACK_ENDPOINT="http://localhost:8321"
streamlit run llama_stack/distribution/ui/app.py
```
[//]: # (## Documentation)
Signed-off-by: Michael Clifford <mcliffor@redhat.com>
