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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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@ -16,6 +16,7 @@ from typing import (
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cast,
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)
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from llama_stack_api.schema_utils import json_schema_type, register_schema
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from opentelemetry import metrics, trace
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from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter
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from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
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@ -28,7 +29,6 @@ from pydantic import BaseModel, Field
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from llama_stack.log import get_logger
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from llama_stack.models.llama.datatypes import Primitive
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from llama_stack.schema_utils import json_schema_type, register_schema
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ROOT_SPAN_MARKERS = ["__root__", "__root_span__"]
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