forked from phoenix-oss/llama-stack-mirror
fc5aff3ccf
# What does this PR do? - Fix up rotten implementation for retrieving agent's Session, Turn, Step with actual working implementation. - Update `getting_started` notebook with retrieving by agent session_id. https://github.com/meta-llama/llama-stack/blob/export_agent_dataset/docs/getting_started.ipynb [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan Test with script: https://gist.github.com/yanxi0830/657cecee8f1f0e39d322963d9c0f598e <img width="503" alt="image" src="https://github.com/user-attachments/assets/5ea9bc33-83d1-40bc-98e1-b68393158387" /> [//]: # (## Documentation) |
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| _static | ||
| 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