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https://github.com/meta-llama/llama-stack.git
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f22aaef42f
# What does this PR do? remove telemetry as a providable API from the codebase. This includes removing it from generated distributions but also the provider registry, the router, etc since `setup_logger` is tied pretty strictly to `Api.telemetry` being in impls we still need an "instantiated provider" in our implementations. However it should not be auto-routed or provided. So in validate_and_prepare_providers (called from resolve_impls) I made it so that if run_config.telemetry.enabled, we set up the meta-reference "provider" internally to be used so that log_event will work when called. This is the neatest way I think we can remove telemetry from the provider configs but also not need to rip apart the whole "telemetry is a provider" logic just yet, but we can do it internally later without disrupting users. so telemetry is removed from the registry such that if a user puts `telemetry:` as an API in their build/run config it will err out, but can still be used by us internally as we go through this transition. relates to #3806 Signed-off-by: Charlie Doern <cdoern@redhat.com>
95 lines
3.4 KiB
Python
95 lines
3.4 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 llama_stack.core.datatypes import BuildProvider, Provider, ToolGroupInput
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from llama_stack.distributions.template import DistributionTemplate, RunConfigSettings
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from llama_stack.providers.inline.files.localfs.config import LocalfsFilesImplConfig
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from llama_stack.providers.remote.inference.watsonx import WatsonXConfig
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def get_distribution_template(name: str = "watsonx") -> DistributionTemplate:
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providers = {
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"inference": [
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BuildProvider(provider_type="remote::watsonx"),
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BuildProvider(provider_type="inline::sentence-transformers"),
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],
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"vector_io": [BuildProvider(provider_type="inline::faiss")],
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"safety": [BuildProvider(provider_type="inline::llama-guard")],
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"agents": [BuildProvider(provider_type="inline::meta-reference")],
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"eval": [BuildProvider(provider_type="inline::meta-reference")],
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"datasetio": [
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BuildProvider(provider_type="remote::huggingface"),
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BuildProvider(provider_type="inline::localfs"),
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],
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"scoring": [
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BuildProvider(provider_type="inline::basic"),
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BuildProvider(provider_type="inline::llm-as-judge"),
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BuildProvider(provider_type="inline::braintrust"),
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],
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"tool_runtime": [
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BuildProvider(provider_type="remote::brave-search"),
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BuildProvider(provider_type="remote::tavily-search"),
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BuildProvider(provider_type="inline::rag-runtime"),
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BuildProvider(provider_type="remote::model-context-protocol"),
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],
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"files": [BuildProvider(provider_type="inline::localfs")],
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}
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inference_provider = Provider(
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provider_id="watsonx",
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provider_type="remote::watsonx",
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config=WatsonXConfig.sample_run_config(),
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)
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default_tool_groups = [
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ToolGroupInput(
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toolgroup_id="builtin::websearch",
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provider_id="tavily-search",
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),
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ToolGroupInput(
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toolgroup_id="builtin::rag",
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provider_id="rag-runtime",
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),
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]
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files_provider = Provider(
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provider_id="meta-reference-files",
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provider_type="inline::localfs",
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config=LocalfsFilesImplConfig.sample_run_config(f"~/.llama/distributions/{name}"),
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)
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return DistributionTemplate(
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name=name,
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distro_type="remote_hosted",
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description="Use watsonx for running LLM inference",
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container_image=None,
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template_path=None,
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providers=providers,
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run_configs={
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"run.yaml": RunConfigSettings(
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provider_overrides={
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"inference": [inference_provider],
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"files": [files_provider],
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},
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default_models=[],
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default_tool_groups=default_tool_groups,
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),
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},
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run_config_env_vars={
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"LLAMASTACK_PORT": (
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"5001",
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"Port for the Llama Stack distribution server",
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),
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"WATSONX_API_KEY": (
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"",
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"watsonx API Key",
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),
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"WATSONX_PROJECT_ID": (
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"",
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"watsonx Project ID",
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),
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},
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)
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