llama-stack-mirror/llama_stack/templates/fireworks/fireworks.py
Yuan Tang 34ab7a3b6c
Fix precommit check after moving to ruff (#927)
Lint check in main branch is failing. This fixes the lint check after we
moved to ruff in https://github.com/meta-llama/llama-stack/pull/921. We
need to move to a `ruff.toml` file as well as fixing and ignoring some
additional checks.

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
2025-02-02 06:46:45 -08:00

170 lines
6 KiB
Python

# 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 pathlib import Path
from llama_models.sku_list import all_registered_models
from llama_stack.apis.models.models import ModelType
from llama_stack.distribution.datatypes import (
ModelInput,
Provider,
ShieldInput,
ToolGroupInput,
)
from llama_stack.providers.inline.inference.sentence_transformers import (
SentenceTransformersInferenceConfig,
)
from llama_stack.providers.inline.vector_io.faiss.config import FaissImplConfig
from llama_stack.providers.remote.inference.fireworks import FireworksImplConfig
from llama_stack.providers.remote.inference.fireworks.fireworks import MODEL_ALIASES
from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
def get_distribution_template() -> DistributionTemplate:
providers = {
"inference": ["remote::fireworks"],
"vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
"safety": ["inline::llama-guard"],
"agents": ["inline::meta-reference"],
"telemetry": ["inline::meta-reference"],
"eval": ["inline::meta-reference"],
"datasetio": ["remote::huggingface", "inline::localfs"],
"scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
"tool_runtime": [
"remote::brave-search",
"remote::tavily-search",
"inline::code-interpreter",
"inline::rag-runtime",
"remote::model-context-protocol",
],
}
name = "fireworks"
inference_provider = Provider(
provider_id="fireworks",
provider_type="remote::fireworks",
config=FireworksImplConfig.sample_run_config(),
)
embedding_provider = Provider(
provider_id="sentence-transformers",
provider_type="inline::sentence-transformers",
config=SentenceTransformersInferenceConfig.sample_run_config(),
)
vector_io_provider = Provider(
provider_id="faiss",
provider_type="inline::faiss",
config=FaissImplConfig.sample_run_config(f"distributions/{name}"),
)
core_model_to_hf_repo = {m.descriptor(): m.huggingface_repo for m in all_registered_models()}
default_models = [
ModelInput(
model_id=core_model_to_hf_repo[m.llama_model],
provider_model_id=m.provider_model_id,
provider_id="fireworks",
)
for m in MODEL_ALIASES
]
embedding_model = ModelInput(
model_id="all-MiniLM-L6-v2",
provider_id="sentence-transformers",
model_type=ModelType.embedding,
metadata={
"embedding_dimension": 384,
},
)
default_tool_groups = [
ToolGroupInput(
toolgroup_id="builtin::websearch",
provider_id="tavily-search",
),
ToolGroupInput(
toolgroup_id="builtin::rag",
provider_id="rag-runtime",
),
ToolGroupInput(
toolgroup_id="builtin::code_interpreter",
provider_id="code-interpreter",
),
]
return DistributionTemplate(
name=name,
distro_type="self_hosted",
description="Use Fireworks.AI for running LLM inference",
container_image=None,
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=default_models,
run_configs={
"run.yaml": RunConfigSettings(
provider_overrides={
"inference": [inference_provider, embedding_provider],
"vector_io": [vector_io_provider],
},
default_models=default_models + [embedding_model],
default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
default_tool_groups=default_tool_groups,
),
"run-with-safety.yaml": RunConfigSettings(
provider_overrides={
"inference": [
inference_provider,
embedding_provider,
],
"vector_io": [vector_io_provider],
"safety": [
Provider(
provider_id="llama-guard",
provider_type="inline::llama-guard",
config={},
),
Provider(
provider_id="llama-guard-vision",
provider_type="inline::llama-guard",
config={},
),
Provider(
provider_id="code-scanner",
provider_type="inline::code-scanner",
config={},
),
],
},
default_models=[
*default_models,
embedding_model,
],
default_shields=[
ShieldInput(
shield_id="meta-llama/Llama-Guard-3-8B",
provider_id="llama-guard",
),
ShieldInput(
shield_id="meta-llama/Llama-Guard-3-11B-Vision",
provider_id="llama-guard-vision",
),
ShieldInput(
shield_id="CodeScanner",
provider_id="code-scanner",
),
],
default_tool_groups=default_tool_groups,
),
},
run_config_env_vars={
"LLAMA_STACK_PORT": (
"5001",
"Port for the Llama Stack distribution server",
),
"FIREWORKS_API_KEY": (
"",
"Fireworks.AI API Key",
),
},
)