forked from phoenix-oss/llama-stack-mirror
feat: Add Groq distribution template (#1173)
# What does this PR do? Create a distribution template using Groq as inference provider. Link to issue: https://github.com/meta-llama/llama-stack/issues/958 ## Test Plan Run `python llama_stack/scripts/distro_codegen.py` to generate run.yaml and build.yaml Test the newly created template by running `llama stack build --template <template-name>` `llama stack run <template-name>`
This commit is contained in:
parent
99c1d4c456
commit
967cff4533
10 changed files with 521 additions and 36 deletions
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@ -4,7 +4,7 @@
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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 Optional
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from typing import Any, Dict, Optional
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from pydantic import BaseModel, Field
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@ -18,3 +18,15 @@ class GroqConfig(BaseModel):
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default=None,
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description="The Groq API key",
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)
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url: str = Field(
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default="https://api.groq.com",
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description="The URL for the Groq AI server",
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)
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@classmethod
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def sample_run_config(cls, **kwargs) -> Dict[str, Any]:
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return {
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"url": "https://api.groq.com",
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"api_key": "${env.GROQ_API_KEY}",
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}
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@ -29,17 +29,10 @@ from llama_stack.apis.inference import (
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ToolConfig,
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)
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from llama_stack.distribution.request_headers import NeedsRequestProviderData
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from llama_stack.models.llama.datatypes import (
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SamplingParams,
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ToolDefinition,
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ToolPromptFormat,
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)
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from llama_stack.models.llama.sku_list import CoreModelId
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from llama_stack.models.llama.datatypes import SamplingParams, ToolDefinition, ToolPromptFormat
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from llama_stack.providers.remote.inference.groq.config import GroqConfig
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from llama_stack.providers.utils.inference.model_registry import (
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ModelRegistryHelper,
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build_hf_repo_model_entry,
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build_model_entry,
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)
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from .groq_utils import (
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@ -47,33 +40,7 @@ from .groq_utils import (
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convert_chat_completion_response,
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convert_chat_completion_response_stream,
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)
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_MODEL_ENTRIES = [
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build_hf_repo_model_entry(
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"llama3-8b-8192",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_model_entry(
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"llama-3.1-8b-instant",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_hf_repo_model_entry(
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"llama3-70b-8192",
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CoreModelId.llama3_70b_instruct.value,
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),
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build_hf_repo_model_entry(
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"llama-3.3-70b-versatile",
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CoreModelId.llama3_3_70b_instruct.value,
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),
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# Groq only contains a preview version for llama-3.2-3b
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# Preview models aren't recommended for production use, but we include this one
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# to pass the test fixture
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# TODO(aidand): Replace this with a stable model once Groq supports it
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build_hf_repo_model_entry(
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"llama-3.2-3b-preview",
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CoreModelId.llama3_2_3b_instruct.value,
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),
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]
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from .models import _MODEL_ENTRIES
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class GroqInferenceAdapter(Inference, ModelRegistryHelper, NeedsRequestProviderData):
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35
llama_stack/providers/remote/inference/groq/models.py
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35
llama_stack/providers/remote/inference/groq/models.py
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@ -0,0 +1,35 @@
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# 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.models.llama.sku_list import CoreModelId
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from llama_stack.providers.utils.inference.model_registry import build_model_entry
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_MODEL_ENTRIES = [
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build_model_entry(
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"llama3-8b-8192",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_model_entry(
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"llama-3.1-8b-instant",
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CoreModelId.llama3_1_8b_instruct.value,
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),
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build_model_entry(
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"llama3-70b-8192",
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CoreModelId.llama3_70b_instruct.value,
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),
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build_model_entry(
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"llama-3.3-70b-versatile",
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CoreModelId.llama3_3_70b_instruct.value,
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),
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# Groq only contains a preview version for llama-3.2-3b
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# Preview models aren't recommended for production use, but we include this one
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# to pass the test fixture
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# TODO(aidand): Replace this with a stable model once Groq supports it
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build_model_entry(
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"llama-3.2-3b-preview",
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CoreModelId.llama3_2_3b_instruct.value,
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),
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]
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