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feat: split API and provider specs into separate llama-stack-api pkg
Extract API definitions, models, and provider specifications into a standalone llama-stack-api package that can be published to PyPI independently of the main llama-stack server. Motivation External providers currently import from llama-stack, which overrides the installed version and causes dependency conflicts. This separation allows external providers to: - Install only the type definitions they need without server dependencies - Avoid version conflicts with the installed llama-stack package - Be versioned and released independently This enables us to re-enable external provider module tests that were previously blocked by these import conflicts. Changes - Created llama-stack-api package with minimal dependencies (pydantic, jsonschema) - Moved APIs, providers datatypes, strong_typing, and schema_utils - Updated all imports from llama_stack.* to llama_stack_api.* - Preserved git history using git mv for moved files - Configured local editable install for development workflow - Updated linting and type-checking configuration for both packages - Rebased on top of upstream src/ layout changes Testing Package builds successfully and can be imported independently. All pre-commit hooks pass with expected exclusions maintained. Next Steps - Publish llama-stack-api to PyPI - Update external provider dependencies - Re-enable external provider module tests Signed-off-by: Charlie Doern <cdoern@redhat.com>
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parent
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359 changed files with 1259 additions and 980 deletions
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@ -8,10 +8,10 @@ import time
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from io import BytesIO
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import pytest
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from llama_stack_api.apis.vector_io import Chunk
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from llama_stack_client import BadRequestError
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from openai import BadRequestError as OpenAIBadRequestError
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from llama_stack.apis.vector_io import Chunk
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from llama_stack.core.library_client import LlamaStackAsLibraryClient
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from llama_stack.log import get_logger
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@ -645,7 +645,7 @@ def test_openai_vector_store_attach_file(
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):
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"""Test OpenAI vector store attach file."""
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
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from llama_stack.apis.files import ExpiresAfter
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from llama_stack_api.apis.files import ExpiresAfter
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compat_client = compat_client_with_empty_stores
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@ -709,7 +709,7 @@ def test_openai_vector_store_attach_files_on_creation(
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
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compat_client = compat_client_with_empty_stores
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from llama_stack.apis.files import ExpiresAfter
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from llama_stack_api.apis.files import ExpiresAfter
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# Create some files and attach them to the vector store
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valid_file_ids = []
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@ -774,7 +774,7 @@ def test_openai_vector_store_list_files(
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
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compat_client = compat_client_with_empty_stores
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from llama_stack.apis.files import ExpiresAfter
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from llama_stack_api.apis.files import ExpiresAfter
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# Create a vector store
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vector_store = compat_client.vector_stores.create(
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@ -866,7 +866,7 @@ def test_openai_vector_store_retrieve_file_contents(
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
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compat_client = compat_client_with_empty_stores
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from llama_stack.apis.files import ExpiresAfter
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from llama_stack_api.apis.files import ExpiresAfter
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# Create a vector store
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vector_store = compat_client.vector_stores.create(
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@ -927,7 +927,7 @@ def test_openai_vector_store_delete_file(
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
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compat_client = compat_client_with_empty_stores
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from llama_stack.apis.files import ExpiresAfter
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from llama_stack_api.apis.files import ExpiresAfter
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# Create a vector store
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vector_store = compat_client.vector_stores.create(
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@ -993,7 +993,7 @@ def test_openai_vector_store_delete_file_removes_from_vector_store(
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
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compat_client = compat_client_with_empty_stores
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from llama_stack.apis.files import ExpiresAfter
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from llama_stack_api.apis.files import ExpiresAfter
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# Create a vector store
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vector_store = compat_client.vector_stores.create(
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@ -1045,7 +1045,7 @@ def test_openai_vector_store_update_file(
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
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compat_client = compat_client_with_empty_stores
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from llama_stack.apis.files import ExpiresAfter
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from llama_stack_api.apis.files import ExpiresAfter
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# Create a vector store
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vector_store = compat_client.vector_stores.create(
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@ -1102,7 +1102,7 @@ def test_create_vector_store_files_duplicate_vector_store_name(
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This test confirms that client.vector_stores.create() creates a unique ID
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"""
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skip_if_provider_doesnt_support_openai_vector_stores(client_with_models)
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from llama_stack.apis.files import ExpiresAfter
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from llama_stack_api.apis.files import ExpiresAfter
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compat_client = compat_client_with_empty_stores
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@ -5,8 +5,7 @@
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# the root directory of this source tree.
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import pytest
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from llama_stack.apis.vector_io import Chunk
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from llama_stack_api.apis.vector_io import Chunk
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from ..conftest import vector_provider_wrapper
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