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# What does this PR do? - Add base_url field to OpenAIConfig with default "https://api.openai.com/v1" - Update sample_run_config to support OPENAI_BASE_URL environment variable - Modify get_base_url() to return configured base_url instead of hardcoded value - Add comprehensive test suite covering: - Default base URL behavior - Custom base URL from config - Environment variable override - Config precedence over environment variables - Client initialization with configured URL - Model availability checks using configured URL This enables users to configure custom OpenAI-compatible API endpoints via environment variables or configuration files. Closes #2910 ## Test Plan run unit tests |
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| _static | ||
| notebooks | ||
| openapi_generator | ||
| resources | ||
| source | ||
| zero_to_hero_guide | ||
| conftest.py | ||
| contbuild.sh | ||
| dog.jpg | ||
| getting_started.ipynb | ||
| getting_started_llama4.ipynb | ||
| getting_started_llama_api.ipynb | ||
| license_header.txt | ||
| make.bat | ||
| Makefile | ||
| original_rfc.md | ||
| quick_start.ipynb | ||
| README.md | ||
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.
Render locally
From the llama-stack root directory, run the following command to render the docs locally:
uv run --group docs sphinx-autobuild docs/source docs/build/html --write-all
You can open up the docs in your browser at http://localhost:8000
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