mirror of
https://github.com/meta-llama/llama-stack.git
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d9147f3184
* remove configure from build * remove config from build * configure to regenerate file * update memory providers * remove comments * udpate build script * add reedme * update doc * rename getting started * update build cli * update docker build script * configure update * clean up configure * [tmp fix] hardware requirement tmp fix * clean up build * fix configure * add example build files for conda & docker * remove resolve_distribution_spec * remove available_distribution_specs * example build files * update example build files * more clean up on build * add name args to override name * move distribution to yaml files * generate distribution specs * getting started guide * getting started * add build yaml to Dockerfile * cleanup distribution_dependencies * configure from docker image name * build relative paths * minor comment * getting started * Update getting_started.md * Update getting_started.md * address comments, configure within docker file * remove distribution types! * update getting started * update documentation * remove listing distribution * minor heading * address nits, remove docker_image=null * gitignore
83 lines
2.2 KiB
Python
83 lines
2.2 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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import importlib
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import inspect
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from typing import Dict, List
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from llama_toolchain.agentic_system.api import AgenticSystem
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from llama_toolchain.inference.api import Inference
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from llama_toolchain.memory.api import Memory
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from llama_toolchain.safety.api import Safety
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from llama_toolchain.telemetry.api import Telemetry
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from .datatypes import (
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Api,
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ApiEndpoint,
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DistributionSpec,
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InlineProviderSpec,
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ProviderSpec,
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remote_provider_spec,
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)
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# These are the dependencies needed by the distribution server.
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# `llama-toolchain` is automatically installed by the installation script.
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SERVER_DEPENDENCIES = [
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"fastapi",
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"uvicorn",
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]
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def stack_apis() -> List[Api]:
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return [v for v in Api]
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def api_endpoints() -> Dict[Api, List[ApiEndpoint]]:
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apis = {}
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protocols = {
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Api.inference: Inference,
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Api.safety: Safety,
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Api.agentic_system: AgenticSystem,
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Api.memory: Memory,
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Api.telemetry: Telemetry,
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}
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for api, protocol in protocols.items():
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endpoints = []
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protocol_methods = inspect.getmembers(protocol, predicate=inspect.isfunction)
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for name, method in protocol_methods:
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if not hasattr(method, "__webmethod__"):
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continue
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webmethod = method.__webmethod__
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route = webmethod.route
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if webmethod.method == "GET":
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method = "get"
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elif webmethod.method == "DELETE":
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method = "delete"
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else:
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method = "post"
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endpoints.append(ApiEndpoint(route=route, method=method, name=name))
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apis[api] = endpoints
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return apis
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def api_providers() -> Dict[Api, Dict[str, ProviderSpec]]:
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ret = {}
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for api in stack_apis():
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name = api.name.lower()
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module = importlib.import_module(f"llama_toolchain.{name}.providers")
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ret[api] = {
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"remote": remote_provider_spec(api),
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**{a.provider_type: a for a in module.available_providers()},
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}
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return ret
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