mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-03 09:53:45 +00:00
bae22060de
# What does this PR do?
In the **Detailed Tutorial**, at **Step 3**, the **Install with venv**
option creates a new virtual environment `client`, activates it then
attempts to install the llama-stack-client using pip.
```
uv venv client --python 3.12
source client/bin/activate
pip install llama-stack-client <- this is the problematic line
```
However, the pip command will likely fail because the `uv venv` command
doesn't, by default, include adding the pip command to the virtual
environment that is created. The pip command will error either because
pip doesn't exist at all, or, if the pip command does exist outside of
the virtual environment, return a different error message. The latter
may be unclear to the user why it is failing.
This PR changes 'pip' to 'uv pip', allowing the install action to
function in the virtual environment as intended, and without the need
for pip to be installed.
## Test Plan
1. Use linux or WSL (virtual environments on Windows use `Scripts`
folder instead of `bin` [virtualenv
#993ba13](
|
||
|---|---|---|
| .. | ||
| docs | ||
| notebooks | ||
| openapi_generator | ||
| src | ||
| static | ||
| supplementary | ||
| zero_to_hero_guide | ||
| docusaurus.config.ts | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| original_rfc.md | ||
| package-lock.json | ||
| package.json | ||
| quick_start.ipynb | ||
| README.md | ||
| sidebars.ts | ||
| tsconfig.json | ||
Llama Stack Documentation
Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our Github page.
Render locally
From the llama-stack docs/ directory, run the following commands to render the docs locally:
npm install
npm run gen-api-docs all
npm run build
npm run serve
You can open up the docs in your browser at http://localhost:3000
Content
Try out Llama Stack's capabilities through our detailed Jupyter notebooks:
- Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
- Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
- Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack