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refactor: enforce top-level imports for llama-stack-api
Enforce that all imports from llama-stack-api use the form: from llama_stack_api import <symbol> This prevents external code from accessing internal package structure (e.g., llama_stack_api.agents, llama_stack_api.common.*) and establishes a clear public API boundary. Changes: - Export 400+ symbols from llama_stack_api/__init__.py - Include all API types, common utilities, and strong_typing helpers - Update files across src/llama_stack, docs/, tests/, scripts/ - Convert all submodule imports to top-level imports - ensure docs use the proper importing structure Addresses PR review feedback requiring explicit __all__ definition to prevent "peeking inside" the API package. Signed-off-by: Charlie Doern <cdoern@redhat.com>
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@ -13,22 +13,26 @@ import uuid
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from io import BytesIO
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from typing import Any, Literal
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from llama_stack_api.batches import Batches, BatchObject, ListBatchesResponse
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from llama_stack_api.common.errors import ConflictError, ResourceNotFoundError
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from llama_stack_api.files import Files, OpenAIFilePurpose
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from llama_stack_api.inference import (
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from llama_stack_api import (
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Batches,
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BatchObject,
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ConflictError,
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Files,
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Inference,
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ListBatchesResponse,
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Models,
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OpenAIAssistantMessageParam,
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OpenAIChatCompletionRequestWithExtraBody,
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OpenAICompletionRequestWithExtraBody,
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OpenAIDeveloperMessageParam,
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OpenAIEmbeddingsRequestWithExtraBody,
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OpenAIFilePurpose,
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OpenAIMessageParam,
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OpenAISystemMessageParam,
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OpenAIToolMessageParam,
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OpenAIUserMessageParam,
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ResourceNotFoundError,
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)
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from llama_stack_api.models import Models
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from openai.types.batch import BatchError, Errors
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from pydantic import BaseModel
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