mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-03 18:00:36 +00:00
chore(package): migrate to src/ layout (#3920)
Migrates package structure to src/ layout following Python packaging best practices. All code moved from `llama_stack/` to `src/llama_stack/`. Public API unchanged - imports remain `import llama_stack.*`. Updated build configs, pre-commit hooks, scripts, and GitHub workflows accordingly. All hooks pass, package builds cleanly. **Developer note**: Reinstall after pulling: `pip install -e .`
This commit is contained in:
Ashwin Bharambe
GitHub
parent
98a5047f9d
commit
471b1b248b
791 changed files with 2983 additions and 456 deletions
|
|
@ -1,297 +0,0 @@
|
|||
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
||||
# All rights reserved.
|
||||
#
|
||||
# This source code is licensed under the terms described in the LICENSE file in
|
||||
# the root directory of this source tree.
|
||||
|
||||
|
||||
from llama_stack.providers.datatypes import (
|
||||
Api,
|
||||
InlineProviderSpec,
|
||||
ProviderSpec,
|
||||
RemoteProviderSpec,
|
||||
)
|
||||
|
||||
META_REFERENCE_DEPS = [
|
||||
"accelerate",
|
||||
"fairscale",
|
||||
"torch",
|
||||
"torchvision",
|
||||
"transformers",
|
||||
"zmq",
|
||||
"lm-format-enforcer",
|
||||
"sentence-transformers",
|
||||
"torchao==0.8.0",
|
||||
"fbgemm-gpu-genai==1.1.2",
|
||||
]
|
||||
|
||||
|
||||
def available_providers() -> list[ProviderSpec]:
|
||||
return [
|
||||
InlineProviderSpec(
|
||||
api=Api.inference,
|
||||
provider_type="inline::meta-reference",
|
||||
pip_packages=META_REFERENCE_DEPS,
|
||||
module="llama_stack.providers.inline.inference.meta_reference",
|
||||
config_class="llama_stack.providers.inline.inference.meta_reference.MetaReferenceInferenceConfig",
|
||||
description="Meta's reference implementation of inference with support for various model formats and optimization techniques.",
|
||||
),
|
||||
InlineProviderSpec(
|
||||
api=Api.inference,
|
||||
provider_type="inline::sentence-transformers",
|
||||
# CrossEncoder depends on torchao.quantization
|
||||
pip_packages=[
|
||||
"torch torchvision torchao>=0.12.0 --extra-index-url https://download.pytorch.org/whl/cpu",
|
||||
"sentence-transformers --no-deps",
|
||||
# required by some SentenceTransformers architectures for tensor rearrange/merge ops
|
||||
"einops",
|
||||
# fast HF tokenization backend used by SentenceTransformers models
|
||||
"tokenizers",
|
||||
# safe and fast file format for storing and loading tensors
|
||||
"safetensors",
|
||||
],
|
||||
module="llama_stack.providers.inline.inference.sentence_transformers",
|
||||
config_class="llama_stack.providers.inline.inference.sentence_transformers.config.SentenceTransformersInferenceConfig",
|
||||
description="Sentence Transformers inference provider for text embeddings and similarity search.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="cerebras",
|
||||
provider_type="remote::cerebras",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.cerebras",
|
||||
config_class="llama_stack.providers.remote.inference.cerebras.CerebrasImplConfig",
|
||||
description="Cerebras inference provider for running models on Cerebras Cloud platform.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="ollama",
|
||||
provider_type="remote::ollama",
|
||||
pip_packages=["ollama", "aiohttp", "h11>=0.16.0"],
|
||||
config_class="llama_stack.providers.remote.inference.ollama.OllamaImplConfig",
|
||||
module="llama_stack.providers.remote.inference.ollama",
|
||||
description="Ollama inference provider for running local models through the Ollama runtime.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="vllm",
|
||||
provider_type="remote::vllm",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.vllm",
|
||||
config_class="llama_stack.providers.remote.inference.vllm.VLLMInferenceAdapterConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.vllm.VLLMProviderDataValidator",
|
||||
description="Remote vLLM inference provider for connecting to vLLM servers.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="tgi",
|
||||
provider_type="remote::tgi",
|
||||
pip_packages=["huggingface_hub", "aiohttp"],
|
||||
module="llama_stack.providers.remote.inference.tgi",
|
||||
config_class="llama_stack.providers.remote.inference.tgi.TGIImplConfig",
|
||||
description="Text Generation Inference (TGI) provider for HuggingFace model serving.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="hf::serverless",
|
||||
provider_type="remote::hf::serverless",
|
||||
pip_packages=["huggingface_hub", "aiohttp"],
|
||||
module="llama_stack.providers.remote.inference.tgi",
|
||||
config_class="llama_stack.providers.remote.inference.tgi.InferenceAPIImplConfig",
|
||||
description="HuggingFace Inference API serverless provider for on-demand model inference.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
provider_type="remote::hf::endpoint",
|
||||
adapter_type="hf::endpoint",
|
||||
pip_packages=["huggingface_hub", "aiohttp"],
|
||||
module="llama_stack.providers.remote.inference.tgi",
|
||||
config_class="llama_stack.providers.remote.inference.tgi.InferenceEndpointImplConfig",
|
||||
description="HuggingFace Inference Endpoints provider for dedicated model serving.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="fireworks",
|
||||
provider_type="remote::fireworks",
|
||||
pip_packages=[
|
||||
"fireworks-ai<=0.17.16",
|
||||
],
|
||||
module="llama_stack.providers.remote.inference.fireworks",
|
||||
config_class="llama_stack.providers.remote.inference.fireworks.FireworksImplConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.fireworks.FireworksProviderDataValidator",
|
||||
description="Fireworks AI inference provider for Llama models and other AI models on the Fireworks platform.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="together",
|
||||
provider_type="remote::together",
|
||||
pip_packages=[
|
||||
"together",
|
||||
],
|
||||
module="llama_stack.providers.remote.inference.together",
|
||||
config_class="llama_stack.providers.remote.inference.together.TogetherImplConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.together.TogetherProviderDataValidator",
|
||||
description="Together AI inference provider for open-source models and collaborative AI development.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="bedrock",
|
||||
provider_type="remote::bedrock",
|
||||
pip_packages=["boto3"],
|
||||
module="llama_stack.providers.remote.inference.bedrock",
|
||||
config_class="llama_stack.providers.remote.inference.bedrock.BedrockConfig",
|
||||
description="AWS Bedrock inference provider for accessing various AI models through AWS's managed service.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="databricks",
|
||||
provider_type="remote::databricks",
|
||||
pip_packages=["databricks-sdk"],
|
||||
module="llama_stack.providers.remote.inference.databricks",
|
||||
config_class="llama_stack.providers.remote.inference.databricks.DatabricksImplConfig",
|
||||
description="Databricks inference provider for running models on Databricks' unified analytics platform.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="nvidia",
|
||||
provider_type="remote::nvidia",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.nvidia",
|
||||
config_class="llama_stack.providers.remote.inference.nvidia.NVIDIAConfig",
|
||||
description="NVIDIA inference provider for accessing NVIDIA NIM models and AI services.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="runpod",
|
||||
provider_type="remote::runpod",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.runpod",
|
||||
config_class="llama_stack.providers.remote.inference.runpod.RunpodImplConfig",
|
||||
description="RunPod inference provider for running models on RunPod's cloud GPU platform.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="openai",
|
||||
provider_type="remote::openai",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.openai",
|
||||
config_class="llama_stack.providers.remote.inference.openai.OpenAIConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.openai.config.OpenAIProviderDataValidator",
|
||||
description="OpenAI inference provider for accessing GPT models and other OpenAI services.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="anthropic",
|
||||
provider_type="remote::anthropic",
|
||||
pip_packages=["anthropic"],
|
||||
module="llama_stack.providers.remote.inference.anthropic",
|
||||
config_class="llama_stack.providers.remote.inference.anthropic.AnthropicConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.anthropic.config.AnthropicProviderDataValidator",
|
||||
description="Anthropic inference provider for accessing Claude models and Anthropic's AI services.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="gemini",
|
||||
provider_type="remote::gemini",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.gemini",
|
||||
config_class="llama_stack.providers.remote.inference.gemini.GeminiConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.gemini.config.GeminiProviderDataValidator",
|
||||
description="Google Gemini inference provider for accessing Gemini models and Google's AI services.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="vertexai",
|
||||
provider_type="remote::vertexai",
|
||||
pip_packages=[
|
||||
"google-cloud-aiplatform",
|
||||
],
|
||||
module="llama_stack.providers.remote.inference.vertexai",
|
||||
config_class="llama_stack.providers.remote.inference.vertexai.VertexAIConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.vertexai.config.VertexAIProviderDataValidator",
|
||||
description="""Google Vertex AI inference provider enables you to use Google's Gemini models through Google Cloud's Vertex AI platform, providing several advantages:
|
||||
|
||||
• Enterprise-grade security: Uses Google Cloud's security controls and IAM
|
||||
• Better integration: Seamless integration with other Google Cloud services
|
||||
• Advanced features: Access to additional Vertex AI features like model tuning and monitoring
|
||||
• Authentication: Uses Google Cloud Application Default Credentials (ADC) instead of API keys
|
||||
|
||||
Configuration:
|
||||
- Set VERTEX_AI_PROJECT environment variable (required)
|
||||
- Set VERTEX_AI_LOCATION environment variable (optional, defaults to us-central1)
|
||||
- Use Google Cloud Application Default Credentials or service account key
|
||||
|
||||
Authentication Setup:
|
||||
Option 1 (Recommended): gcloud auth application-default login
|
||||
Option 2: Set GOOGLE_APPLICATION_CREDENTIALS to service account key path
|
||||
|
||||
Available Models:
|
||||
- vertex_ai/gemini-2.0-flash
|
||||
- vertex_ai/gemini-2.5-flash
|
||||
- vertex_ai/gemini-2.5-pro""",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="groq",
|
||||
provider_type="remote::groq",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.groq",
|
||||
config_class="llama_stack.providers.remote.inference.groq.GroqConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.groq.config.GroqProviderDataValidator",
|
||||
description="Groq inference provider for ultra-fast inference using Groq's LPU technology.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="llama-openai-compat",
|
||||
provider_type="remote::llama-openai-compat",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.llama_openai_compat",
|
||||
config_class="llama_stack.providers.remote.inference.llama_openai_compat.config.LlamaCompatConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.llama_openai_compat.config.LlamaProviderDataValidator",
|
||||
description="Llama OpenAI-compatible provider for using Llama models with OpenAI API format.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="sambanova",
|
||||
provider_type="remote::sambanova",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.sambanova",
|
||||
config_class="llama_stack.providers.remote.inference.sambanova.SambaNovaImplConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.sambanova.config.SambaNovaProviderDataValidator",
|
||||
description="SambaNova inference provider for running models on SambaNova's dataflow architecture.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="passthrough",
|
||||
provider_type="remote::passthrough",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.passthrough",
|
||||
config_class="llama_stack.providers.remote.inference.passthrough.PassthroughImplConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.passthrough.PassthroughProviderDataValidator",
|
||||
description="Passthrough inference provider for connecting to any external inference service not directly supported.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
adapter_type="watsonx",
|
||||
provider_type="remote::watsonx",
|
||||
pip_packages=["litellm"],
|
||||
module="llama_stack.providers.remote.inference.watsonx",
|
||||
config_class="llama_stack.providers.remote.inference.watsonx.WatsonXConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.watsonx.config.WatsonXProviderDataValidator",
|
||||
description="IBM WatsonX inference provider for accessing AI models on IBM's WatsonX platform.",
|
||||
),
|
||||
RemoteProviderSpec(
|
||||
api=Api.inference,
|
||||
provider_type="remote::azure",
|
||||
adapter_type="azure",
|
||||
pip_packages=[],
|
||||
module="llama_stack.providers.remote.inference.azure",
|
||||
config_class="llama_stack.providers.remote.inference.azure.AzureConfig",
|
||||
provider_data_validator="llama_stack.providers.remote.inference.azure.config.AzureProviderDataValidator",
|
||||
description="""
|
||||
Azure OpenAI inference provider for accessing GPT models and other Azure services.
|
||||
Provider documentation
|
||||
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/overview
|
||||
""",
|
||||
),
|
||||
]
|
||||
Loading…
Add table
Add a link
Reference in a new issue