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840ad75fe9
# What does this PR do? Extract API definitions and provider specifications into a standalone llama-stack-api package that can be published to PyPI independently of the main llama-stack server. see: https://github.com/llamastack/llama-stack/pull/2978 and https://github.com/llamastack/llama-stack/pull/2978#issuecomment-3145115942 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.* - Configured local editable install for development workflow - Updated linting and type-checking configuration for both packages Next Steps - Publish llama-stack-api to PyPI - Update external provider dependencies - Re-enable external provider module tests Pre-cursor PRs to this one: - #4093 - #3954 - #4064 These PRs moved key pieces _out_ of the Api pkg, limiting the scope of change here. relates to #3237 ## Test Plan Package builds successfully and can be imported independently. All pre-commit hooks pass with expected exclusions maintained. --------- Signed-off-by: Charlie Doern <cdoern@redhat.com>
49 lines
1.4 KiB
Python
49 lines
1.4 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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from llama_stack_api import Conversation, ConversationItem, ConversationItemList
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def test_conversation_model_defaults():
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conversation = Conversation(
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id="conv_123456789",
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created_at=1234567890,
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metadata=None,
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object="conversation",
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)
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assert conversation.id == "conv_123456789"
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assert conversation.object == "conversation"
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assert conversation.metadata is None
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def test_openai_client_compatibility():
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from openai.types.conversations.message import Message
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from pydantic import TypeAdapter
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openai_message = Message(
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id="msg_123",
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content=[{"type": "input_text", "text": "Hello"}],
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role="user",
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status="in_progress",
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type="message",
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object="message",
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)
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adapter = TypeAdapter(ConversationItem)
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validated_item = adapter.validate_python(openai_message.model_dump())
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assert validated_item.id == "msg_123"
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assert validated_item.type == "message"
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def test_conversation_item_list():
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item_list = ConversationItemList(data=[])
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assert item_list.object == "list"
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assert item_list.data == []
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assert item_list.first_id is None
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assert item_list.last_id is None
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assert item_list.has_more is False
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