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a165b8b5bb
# What does this PR do? Removes VectorDBs from API surface and our tests. Moves tests to Vector Stores. <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
44 lines
1.5 KiB
Python
44 lines
1.5 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.providers.datatypes import (
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Api,
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InlineProviderSpec,
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ProviderSpec,
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)
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from llama_stack.providers.utils.kvstore import kvstore_dependencies
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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.agents,
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provider_type="inline::meta-reference",
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pip_packages=[
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"matplotlib",
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"pillow",
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"pandas",
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"scikit-learn",
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"mcp>=1.8.1",
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]
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+ kvstore_dependencies(), # TODO make this dynamic based on the kvstore config
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module="llama_stack.providers.inline.agents.meta_reference",
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config_class="llama_stack.providers.inline.agents.meta_reference.MetaReferenceAgentsImplConfig",
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api_dependencies=[
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Api.inference,
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Api.safety,
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Api.vector_io,
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Api.tool_runtime,
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Api.tool_groups,
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Api.conversations,
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],
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optional_api_dependencies=[
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Api.telemetry,
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],
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description="Meta's reference implementation of an agent system that can use tools, access vector databases, and perform complex reasoning tasks.",
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),
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]
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