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6be563434e
# What does this PR do? - see https://github.com/meta-llama/llama-stack/pull/689 <img width="591" alt="image" src="https://github.com/user-attachments/assets/76946a67-7373-43b5-8a03-0ad201aa543b" /> - leaving `tools/builtin.py` to avoid conflicts ## Test Plan - see https://github.com/meta-llama/llama-stack/pull/689 ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
49 lines
1.5 KiB
Python
49 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 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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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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]
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+ kvstore_dependencies(),
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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.memory,
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Api.memory_banks,
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],
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),
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remote_provider_spec(
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api=Api.agents,
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adapter=AdapterSpec(
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adapter_type="sample",
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pip_packages=[],
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module="llama_stack.providers.remote.agents.sample",
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config_class="llama_stack.providers.remote.agents.sample.SampleConfig",
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),
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),
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]
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