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https://github.com/meta-llama/llama-stack.git
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072dca0609
# What does this PR do? Add Kubernetes authentication provider support - Add KubernetesAuthProvider class for token validation using Kubernetes SelfSubjectReview API - Add KubernetesAuthProviderConfig with configurable API server URL, TLS settings, and claims mapping - Implement authentication via POST requests to /apis/authentication.k8s.io/v1/selfsubjectreviews endpoint - Add support for parsing Kubernetes SelfSubjectReview response format to extract user information - Add KUBERNETES provider type to AuthProviderType enum - Update create_auth_provider factory function to handle 'kubernetes' provider type - Add comprehensive unit tests for KubernetesAuthProvider functionality - Add documentation with configuration examples and usage instructions The provider validates tokens by sending SelfSubjectReview requests to the Kubernetes API server and extracts user information from the userInfo structure in the response. <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> What This Verifies: Authentication header validation Token validation with Kubernetes SelfSubjectReview and kubernetes server API endpoint Error handling for invalid tokens and HTTP errors Request payload structure and headers ``` python -m pytest tests/unit/server/test_auth.py -k "kubernetes" -v ``` Signed-off-by: Akram Ben Aissi <akram.benaissi@gmail.com>
88 lines
3.4 KiB
Python
88 lines
3.4 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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# Custom Llama Stack Exception classes should follow the following schema
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# 1. All classes should inherit from an existing Built-In Exception class: https://docs.python.org/3/library/exceptions.html
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# 2. All classes should have a custom error message with the goal of informing the Llama Stack user specifically
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# 3. All classes should propogate the inherited __init__ function otherwise via 'super().__init__(message)'
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class ResourceNotFoundError(ValueError):
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"""generic exception for a missing Llama Stack resource"""
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def __init__(self, resource_name: str, resource_type: str, client_list: str) -> None:
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message = (
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f"{resource_type} '{resource_name}' not found. Use '{client_list}' to list available {resource_type}s."
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)
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super().__init__(message)
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class UnsupportedModelError(ValueError):
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"""raised when model is not present in the list of supported models"""
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def __init__(self, model_name: str, supported_models_list: list[str]):
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message = f"'{model_name}' model is not supported. Supported models are: {', '.join(supported_models_list)}"
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super().__init__(message)
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class ModelNotFoundError(ResourceNotFoundError):
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"""raised when Llama Stack cannot find a referenced model"""
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def __init__(self, model_name: str) -> None:
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super().__init__(model_name, "Model", "client.models.list()")
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class VectorStoreNotFoundError(ResourceNotFoundError):
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"""raised when Llama Stack cannot find a referenced vector store"""
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def __init__(self, vector_store_name: str) -> None:
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super().__init__(vector_store_name, "Vector Store", "client.vector_dbs.list()")
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class DatasetNotFoundError(ResourceNotFoundError):
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"""raised when Llama Stack cannot find a referenced dataset"""
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def __init__(self, dataset_name: str) -> None:
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super().__init__(dataset_name, "Dataset", "client.datasets.list()")
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class ToolGroupNotFoundError(ResourceNotFoundError):
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"""raised when Llama Stack cannot find a referenced tool group"""
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def __init__(self, toolgroup_name: str) -> None:
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super().__init__(toolgroup_name, "Tool Group", "client.toolgroups.list()")
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class SessionNotFoundError(ValueError):
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"""raised when Llama Stack cannot find a referenced session or access is denied"""
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def __init__(self, session_name: str) -> None:
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message = f"Session '{session_name}' not found or access denied."
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super().__init__(message)
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class ModelTypeError(TypeError):
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"""raised when a model is present but not the correct type"""
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def __init__(self, model_name: str, model_type: str, expected_model_type: str) -> None:
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message = (
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f"Model '{model_name}' is of type '{model_type}' rather than the expected type '{expected_model_type}'"
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)
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super().__init__(message)
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class ConflictError(ValueError):
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"""raised when an operation cannot be performed due to a conflict with the current state"""
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def __init__(self, message: str) -> None:
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super().__init__(message)
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class TokenValidationError(ValueError):
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"""raised when token validation fails during authentication"""
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def __init__(self, message: str) -> None:
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super().__init__(message)
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