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* Add distribution CLI scaffolding * More progress towards `llama distribution install` * getting closer to a distro definition, distro install + configure works * Distribution server now functioning * read existing configuration, save enums properly * Remove inference uvicorn server entrypoint and llama inference CLI command * updated dependency and client model name * Improved exception handling * local imports for faster cli * undo a typo, add a passthrough distribution * implement full-passthrough in the server * add safety adapters, configuration handling, server + clients * cleanup, moving stuff to common, nuke utils * Add a Path() wrapper at the earliest place * fixes * Bring agentic system api to toolchain Add adapter dependencies and resolve adapters using a topological sort * refactor to reduce size of `agentic_system` * move straggler files and fix some important existing bugs * ApiSurface -> Api * refactor a method out * Adapter -> Provider * Make each inference provider into its own subdirectory * installation fixes * Rename Distribution -> DistributionSpec, simplify RemoteProviders * dict key instead of attr * update inference config to take model and not model_dir * Fix passthrough streaming, send headers properly not part of body :facepalm * update safety to use model sku ids and not model dirs * Update cli_reference.md * minor fixes * add DistributionConfig, fix a bug in model download * Make install + start scripts do proper configuration automatically * Update CLI_reference * Nuke fp8_requirements, fold fbgemm into common requirements * Update README, add newline between API surface configurations * Refactor download functionality out of the Command so can be reused * Add `llama model download` alias for `llama download` * Show message about checksum file so users can check themselves * Simpler intro statements * get ollama working * Reduce a bunch of dependencies from toolchain Some improvements to the distribution install script * Avoid using `conda run` since it buffers everything * update dependencies and rely on LLAMA_TOOLCHAIN_DIR for dev purposes * add validation for configuration input * resort imports * make optional subclasses default to yes for configuration * Remove additional_pip_packages; move deps to providers * for inline make 8b model the default * Add scripts to MANIFEST * allow installing from test.pypi.org * Fix #2 to help with testing packages * Must install llama-models at that same version first * fix PIP_ARGS --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Hardik Shah <hjshah@meta.com>
86 lines
2.7 KiB
Python
86 lines
2.7 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 inspect
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from typing import Dict, List
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from llama_toolchain.agentic_system.api.endpoints import AgenticSystem
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from llama_toolchain.agentic_system.providers import available_agentic_system_providers
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from llama_toolchain.inference.api.endpoints import Inference
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from llama_toolchain.inference.providers import available_inference_providers
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from llama_toolchain.safety.api.endpoints import Safety
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from llama_toolchain.safety.providers import available_safety_providers
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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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)
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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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"python-dotenv",
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"uvicorn",
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]
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def distribution_dependencies(distribution: DistributionSpec) -> List[str]:
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# only consider InlineProviderSpecs when calculating dependencies
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return [
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dep
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for provider_spec in distribution.provider_specs.values()
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if isinstance(provider_spec, InlineProviderSpec)
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for dep in provider_spec.pip_packages
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] + SERVER_DEPENDENCIES
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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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}
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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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# use `post` for all methods right now until we fix up the `webmethod` openapi
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# annotation and write our own openapi generator
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endpoints.append(ApiEndpoint(route=route, method="post", 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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inference_providers_by_id = {
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a.provider_id: a for a in available_inference_providers()
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}
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safety_providers_by_id = {a.provider_id: a for a in available_safety_providers()}
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agentic_system_providers_by_id = {
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a.provider_id: a for a in available_agentic_system_providers()
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}
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return {
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Api.inference: inference_providers_by_id,
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Api.safety: safety_providers_by_id,
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Api.agentic_system: agentic_system_providers_by_id,
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}
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