forked from phoenix-oss/llama-stack-mirror
992f865b2e
`EMBEDDING_DEPS` were wrongly associated with `vector_io` providers. They are needed by https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/utils/memory/vector_store.py#L142 and related code and is used by the RAG tool and as such should only be needed by the `inline::rag-runtime` provider.
95 lines
4 KiB
Python
95 lines
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.providers.datatypes import (
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AdapterSpec,
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Api,
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InlineProviderSpec,
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ProviderSpec,
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remote_provider_spec,
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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.tool_runtime,
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provider_type="inline::rag-runtime",
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pip_packages=[
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"blobfile",
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"chardet",
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"pypdf",
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"tqdm",
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"numpy",
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"scikit-learn",
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"scipy",
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"nltk",
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"sentencepiece",
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"transformers",
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],
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module="llama_stack.providers.inline.tool_runtime.rag",
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config_class="llama_stack.providers.inline.tool_runtime.rag.config.RagToolRuntimeConfig",
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api_dependencies=[Api.vector_io, Api.inference],
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),
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InlineProviderSpec(
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api=Api.tool_runtime,
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provider_type="inline::code-interpreter",
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pip_packages=[],
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module="llama_stack.providers.inline.tool_runtime.code_interpreter",
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config_class="llama_stack.providers.inline.tool_runtime.code_interpreter.config.CodeInterpreterToolConfig",
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),
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remote_provider_spec(
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api=Api.tool_runtime,
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adapter=AdapterSpec(
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adapter_type="brave-search",
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module="llama_stack.providers.remote.tool_runtime.brave_search",
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config_class="llama_stack.providers.remote.tool_runtime.brave_search.config.BraveSearchToolConfig",
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pip_packages=["requests"],
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provider_data_validator="llama_stack.providers.remote.tool_runtime.brave_search.BraveSearchToolProviderDataValidator",
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),
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),
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remote_provider_spec(
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api=Api.tool_runtime,
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adapter=AdapterSpec(
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adapter_type="bing-search",
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module="llama_stack.providers.remote.tool_runtime.bing_search",
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config_class="llama_stack.providers.remote.tool_runtime.bing_search.config.BingSearchToolConfig",
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pip_packages=["requests"],
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provider_data_validator="llama_stack.providers.remote.tool_runtime.bing_search.BingSearchToolProviderDataValidator",
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),
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),
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remote_provider_spec(
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api=Api.tool_runtime,
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adapter=AdapterSpec(
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adapter_type="tavily-search",
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module="llama_stack.providers.remote.tool_runtime.tavily_search",
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config_class="llama_stack.providers.remote.tool_runtime.tavily_search.config.TavilySearchToolConfig",
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pip_packages=["requests"],
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provider_data_validator="llama_stack.providers.remote.tool_runtime.tavily_search.TavilySearchToolProviderDataValidator",
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),
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),
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remote_provider_spec(
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api=Api.tool_runtime,
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adapter=AdapterSpec(
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adapter_type="wolfram-alpha",
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module="llama_stack.providers.remote.tool_runtime.wolfram_alpha",
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config_class="llama_stack.providers.remote.tool_runtime.wolfram_alpha.config.WolframAlphaToolConfig",
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pip_packages=["requests"],
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provider_data_validator="llama_stack.providers.remote.tool_runtime.wolfram_alpha.WolframAlphaToolProviderDataValidator",
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),
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),
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remote_provider_spec(
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api=Api.tool_runtime,
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adapter=AdapterSpec(
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adapter_type="model-context-protocol",
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module="llama_stack.providers.remote.tool_runtime.model_context_protocol",
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config_class="llama_stack.providers.remote.tool_runtime.model_context_protocol.config.ModelContextProtocolConfig",
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pip_packages=["mcp"],
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),
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),
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]
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