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LCORE-650: update Llama Stack version in documentation and examples #607
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LCORE-650: update Llama Stack version in documentation and examples #607
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WalkthroughDocumentation and example references to llama-stack are updated from 0.2.20 to 0.2.21 across multiple files. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Possibly related PRs
Suggested reviewers
Poem
Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches
🧪 Generate unit tests
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Actionable comments posted: 1
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (8)
README.md(1 hunks)docs/deployment_guide.md(1 hunks)docs/getting_started.md(2 hunks)docs/openapi.json(2 hunks)docs/openapi.md(1 hunks)docs/output.md(1 hunks)examples/pyproject.llamastack.toml(1 hunks)src/models/responses.py(1 hunks)
🧰 Additional context used
📓 Path-based instructions (4)
src/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
Use absolute imports for internal modules (e.g., from auth import get_auth_dependency)
Files:
src/models/responses.py
**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
**/*.py: All modules start with descriptive module-level docstrings explaining purpose
Use logger = logging.getLogger(name) for module logging after import logging
Define type aliases at module level for clarity
All functions require docstrings with brief descriptions
Provide complete type annotations for all function parameters and return types
Use typing_extensions.Self in model validators where appropriate
Use modern union syntax (str | int) and Optional[T] or T | None consistently
Function names use snake_case with descriptive, action-oriented prefixes (get_, validate_, check_)
Avoid in-place parameter modification; return new data structures instead of mutating arguments
Use appropriate logging levels: debug, info, warning, error with clear messages
All classes require descriptive docstrings explaining purpose
Class names use PascalCase with conventional suffixes (Configuration, Error/Exception, Resolver, Interface)
Abstract base classes should use abc.ABC and @AbstractMethod for interfaces
Provide complete type annotations for all class attributes
Follow Google Python docstring style for modules, classes, and functions, including Args, Returns, Raises, Attributes sections as needed
Files:
src/models/responses.py
src/{models/**/*.py,configuration.py}
📄 CodeRabbit inference engine (CLAUDE.md)
src/{models/**/*.py,configuration.py}: Use @field_validator and @model_validator for custom validation in Pydantic models
Use precise type hints in configuration (e.g., Optional[FilePath], PositiveInt, SecretStr)
Files:
src/models/responses.py
src/models/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
src/models/**/*.py: Pydantic models: use BaseModel for data models and extend ConfigurationBase for configuration
Use @model_validator and @field_validator for Pydantic model validation
Files:
src/models/responses.py
🪛 Checkov (3.2.334)
docs/openapi.json
[high] 1-3162: Ensure that the global security field has rules defined
(CKV_OPENAPI_4)
[high] 1-3162: Ensure that security operations is not empty.
(CKV_OPENAPI_5)
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| "version": "0.2.21" | ||
| } | ||
| ``` |
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Update remaining version example for consistency
Nice catch updating this sample to 0.2.21. There’s still another curl ... /v1/version output later in the guide (Line 1074) that shows 0.2.18, so readers get conflicting signals. Please bump that snippet to 0.2.21 as well.
🤖 Prompt for AI Agents
In docs/deployment_guide.md around lines 393-395 and again at ~1074, the example
curl /v1/version output is inconsistent (one shows "0.2.21" while the later
snippet still shows "0.2.18"); update the later snippet to match by changing the
version string to "0.2.21" so both examples are consistent; ensure the JSON
formatting and surrounding backticks remain unchanged.
Description
LCORE-650: update Llama Stack version in documentation and examples
Type of change
Related Tickets & Documents
Summary by CodeRabbit
Documentation
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