mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-06-29 03:14:19 +00:00
736092f6bc
* Use huggingface_hub inference client for TGI inference * Update the default value for TGI URL * Use InferenceClient.text_generation for TGI inference * Fixes post-review and split TGI adapter into local and Inference Endpoints ones * Update CLI reference and add typing * Rename TGI Adapter class * Use HfApi to get the namespace when not provide in the hf endpoint name * Remove unecessary method argument * Improve TGI adapter initialization condition * Move helper into impl file + fix merging conflicts
88 lines
3.1 KiB
Python
88 lines
3.1 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 functools import lru_cache
|
|
from typing import List, Optional
|
|
|
|
from .datatypes import * # noqa: F403
|
|
|
|
|
|
@lru_cache()
|
|
def available_distribution_specs() -> List[DistributionSpec]:
|
|
return [
|
|
DistributionSpec(
|
|
distribution_type="local",
|
|
description="Use code from `llama_toolchain` itself to serve all llama stack APIs",
|
|
providers={
|
|
Api.inference: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
Api.telemetry: "console",
|
|
},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="remote",
|
|
description="Point to remote services for all llama stack APIs",
|
|
providers={
|
|
**{x: "remote" for x in Api},
|
|
Api.telemetry: "console",
|
|
},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="local-ollama",
|
|
description="Like local, but use ollama for running LLM inference",
|
|
providers={
|
|
Api.inference: remote_provider_type("ollama"),
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
Api.telemetry: "console",
|
|
},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="local-plus-fireworks-inference",
|
|
description="Use Fireworks.ai for running LLM inference",
|
|
providers={
|
|
Api.inference: remote_provider_type("fireworks"),
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
Api.telemetry: "console",
|
|
},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="local-plus-together-inference",
|
|
description="Use Together.ai for running LLM inference",
|
|
providers={
|
|
Api.inference: remote_provider_type("together"),
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
Api.telemetry: "console",
|
|
},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="local-plus-tgi-inference",
|
|
description="Use TGI for running LLM inference",
|
|
providers={
|
|
Api.inference: remote_provider_type("tgi"),
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
},
|
|
),
|
|
]
|
|
|
|
|
|
@lru_cache()
|
|
def resolve_distribution_spec(
|
|
distribution_type: str,
|
|
) -> Optional[DistributionSpec]:
|
|
for spec in available_distribution_specs():
|
|
if spec.distribution_type == distribution_type:
|
|
return spec
|
|
return None
|