chore: bump 'ramalama-stack' version to 0.2.0

[nathan-weinberg]

Summary by Sourcery

Bump ramalama-stack to version 0.2.0 in the llama-stack container image

Build:

• Update remote YAML fetch URLs to references v0.2.0
• Pin pip installation of ramalama-stack to ==0.2.0

[sourcery-ai]

Reviewer's Guide

This PR updates the Llama Stack Containerfile to use ramalama-stack version 0.2.0 by revising both the remote asset URLs and the pip installation command accordingly.

Sequence Diagram: Fetching ramalama-stack v0.2.0 Artifacts during Image Build

sequenceDiagram
    participant BuildProcess as Container Build Process
    participant GitHub
    participant PyPI

    BuildProcess->>+GitHub: GET .../ramalama-stack/refs/tags/v0.2.0/.../ramalama.yaml
    GitHub-->>-BuildProcess: ramalama.yaml (v0.2.0)
    BuildProcess->>+GitHub: GET .../ramalama-stack/refs/tags/v0.2.0/.../ramalama-run.yaml
    GitHub-->>-BuildProcess: ramalama-run.yaml (v0.2.0)
    BuildProcess->>+PyPI: uv pip install ramalama-stack==0.2.0
    PyPI-->>-BuildProcess: ramalama-stack package (0.2.0)

Loading

File-Level Changes

Change	Details	Files
Bump ramalama-stack version to 0.2.0	Update remote inference YAML URL to tag v0.2.0 Update ramalama-run YAML URL to tag v0.2.0 Pin pip install to ramalama-stack==0.2.0	container-images/llama-stack/Containerfile

Possibly linked issues

• Resolve undefined errors in huggingface.py and model.py #123: The PR updates the ramalama-stack version in the container build which includes the llama-simple-chat changes.

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[sourcery-ai]

Hey @nathan-weinberg - I've reviewed your changes - here's some feedback:

• Consider parameterizing the ramalama-stack version as a build ARG so you don’t have to update multiple RUN commands when bumping the version.
• The pip install constraint changed from >=1.5.0 to ==0.2.0—if you want to allow future patch updates, consider using a range like >=0.2.0,<0.3.0 instead of a strict ==.

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[rhatdan]

LGTM