forked from phoenix-oss/llama-stack-mirror
# What does this PR do? This PR improves the documentation in several ways: - **Fixed incorrect link in `tools.md`** to ensure all references point to the correct resources. - **Added instructions for running the `code-interpreter` agent in a Podman container**, helping users configure and execute the tool in containerized environments. - **Introduced an unregister command for single and multiple vector databases**, making it easier to manage vector DBs. - **Provided a simple example script for using the `code-interpreter` agent**, giving users a practical reference for implementation. These updates enhance the clarity, usability, and completeness of the documentation. [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan The following steps were performed to verify the accuracy of the changes: 1. **Validated all fixed link** by checking their destinations to ensure correctness. 2. **Ran the `code-interpreter` agent in a Podman container** following the new instructions to confirm functionality. 3. **Executed the vector database unregister commands** and verified that both single and multiple databases were correctly removed. 4. **Tested the new example script for `code-interpreter`**, ensuring it runs without errors. All changes were reviewed and tested successfully, improving the documentation's accuracy and ease of use. [//]: # (## Documentation) |
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notebooks | ||
openapi_generator | ||
resources | ||
source | ||
zero_to_hero_guide | ||
conftest.py | ||
contbuild.sh | ||
dog.jpg | ||
getting_started.ipynb | ||
license_header.txt | ||
make.bat | ||
Makefile | ||
readme.md | ||
requirements.txt |
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 ReadTheDocs page.
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