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# What does this PR do? This is the second attempt to switch to system packages by default. Now with a hack to detect conda environment - in which case conda image-type is used. Note: Conda will only be used when --image-name is unset *and* CONDA_DEFAULT_ENV is set. This means that users without conda will correctly fall back to using system packages when no --image-* arguments are passed at all. [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan Uses virtualenv: ``` $ llama stack build --template ollama --image-type venv $ llama stack run --image-type venv ~/.llama/distributions/ollama/ollama-run.yaml [...] Using virtual environment: /home/ec2-user/src/llama-stack/schedule/.local [...] ``` Uses system packages (virtualenv already initialized): ``` $ llama stack run ~/.llama/distributions/ollama/ollama-run.yaml [...] INFO 2025-03-27 20:46:22,882 llama_stack.cli.stack.run:142 server: No image type or image name provided. Assuming environment packages. [...] ``` Attempt to run from environment packages without necessary packages installed: ``` $ python -m venv barebones $ . ./barebones/bin/activate $ pip install -e . # to install llama command $ llama stack run ~/.llama/distributions/ollama/ollama-run.yaml [...] ModuleNotFoundError: No module named 'fastapi' ``` ^ failed as expected because the environment doesn't have necessary packages installed. Now install some packages in the new environment: ``` $ pip install fastapi opentelemetry-api opentelemetry-sdk opentelemetry-exporter-otlp aiosqlite ollama openai datasets faiss-cpu mcp autoevals $ llama stack run ~/.llama/distributions/ollama/ollama-run.yaml [...] Uvicorn running on http://['::', '0.0.0.0']:8321 (Press CTRL+C to quit) ``` Now see if setting CONDA_DEFAULT_ENV will change what happens by default: ``` $ export CONDA_DEFAULT_ENV=base $ llama stack run ~/.llama/distributions/ollama/ollama-run.yaml [...] Using conda environment: base Conda environment base does not exist. [...] ``` --------- Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com> |
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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