mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-06 04:34:57 +00:00
76b354a081
- added providers/registry - cleaned up api/ subdirectories and moved impls away - restructured api/api.py - from llama_stack.apis.<api> import foo should work now - update imports to do llama_stack.apis.<api> - update many other imports - added __init__, fixed some registry imports - updated registry imports - create_agentic_system -> create_agent - AgenticSystem -> Agent
45 lines
1.4 KiB
Python
45 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 typing import List
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from llama_stack.core.datatypes import * # noqa: F403
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EMBEDDING_DEPS = [
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"blobfile",
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"chardet",
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"pypdf",
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"sentence-transformers",
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]
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def available_providers() -> List[ProviderSpec]:
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return [
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InlineProviderSpec(
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api=Api.memory,
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provider_id="meta-reference",
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pip_packages=EMBEDDING_DEPS + ["faiss-cpu"],
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module="llama_stack.providers.impls.meta_reference.memory",
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config_class="llama_stack.providers.impls.meta_reference.memory.FaissImplConfig",
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),
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remote_provider_spec(
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Api.memory,
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AdapterSpec(
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adapter_id="chromadb",
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pip_packages=EMBEDDING_DEPS + ["chromadb-client"],
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module="llama_stack.providers.adapters.memory.chroma",
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),
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),
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remote_provider_spec(
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Api.memory,
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AdapterSpec(
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adapter_id="pgvector",
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pip_packages=EMBEDDING_DEPS + ["psycopg2-binary"],
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module="llama_stack.providers.adapters.memory.pgvector",
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config_class="llama_stack.providers.adapters.memory.pgvector.PGVectorConfig",
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),
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),
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]
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