forked from phoenix-oss/llama-stack-mirror
* add tools to chat completion request * use templates for generating system prompts * Moved ToolPromptFormat and jinja templates to llama_models.llama3.api * <WIP> memory changes - inlined AgenticSystemInstanceConfig so API feels more ergonomic - renamed it to AgentConfig, AgentInstance -> Agent - added a MemoryConfig and `memory` parameter - added `attachments` to input and `output_attachments` to the response - some naming changes * InterleavedTextAttachment -> InterleavedTextMedia, introduce memory tool * flesh out memory banks API * agentic loop has a RAG implementation * faiss provider implementation * memory client works * re-work tool definitions, fix FastAPI issues, fix tool regressions * fix agentic_system utils * basic RAG seems to work * small bug fixes for inline attachments * Refactor custom tool execution utilities * Bug fix, show memory retrieval steps in EventLogger * No need for api_key for Remote providers * add special unicode character ↵ to showcase newlines in model prompt templates * remove api.endpoints imports * combine datatypes.py and endpoints.py into api.py * Attachment / add TTL api * split batch_inference from inference * minor import fixes * use a single impl for ChatFormat.decode_assistant_mesage * use interleaved_text_media_as_str() utilityt * Fix api.datatypes imports * Add blobfile for tiktoken * Add ToolPromptFormat to ChatFormat.encode_message so that tools are encoded properly * templates take optional --format={json,function_tag} * Rag Updates * Add `api build` subcommand -- WIP * fix * build + run image seems to work * <WIP> adapters * bunch more work to make adapters work * api build works for conda now * ollama remote adapter works * Several smaller fixes to make adapters work Also, reorganized the pattern of __init__ inside providers so configuration can stay lightweight * llama distribution -> llama stack + containers (WIP) * All the new CLI for api + stack work * Make Fireworks and Together into the Adapter format * Some quick fixes to the CLI behavior to make it consistent * Updated README phew * Update cli_reference.md * llama_toolchain/distribution -> llama_toolchain/core * Add termcolor * update paths * Add a log just for consistency * chmod +x scripts * Fix api dependencies not getting added to configuration * missing import lol * Delete utils.py; move to agentic system * Support downloading of URLs for attachments for code interpreter * Simplify and generalize `llama api build` yay * Update `llama stack configure` to be very simple also * Fix stack start * Allow building an "adhoc" distribution * Remote `llama api []` subcommands * Fixes to llama stack commands and update docs * Update documentation again and add error messages to llama stack start * llama stack start -> llama stack run * Change name of build for less confusion * Add pyopenapi fork to the repository, update RFC assets * Remove conflicting annotation * Added a "--raw" option for model template printing --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Ashwin Bharambe <ashwin@meta.com> Co-authored-by: Dalton Flanagan <6599399+dltn@users.noreply.github.com>
101 lines
3.1 KiB
Python
101 lines
3.1 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 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 import Inference
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from llama_toolchain.inference.providers import available_inference_providers
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from llama_toolchain.memory.api import Memory
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from llama_toolchain.memory.providers import available_memory_providers
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from llama_toolchain.safety.api 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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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 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 stack_apis() -> List[Api]:
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return [Api.inference, Api.safety, Api.agentic_system, Api.memory]
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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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}
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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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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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ret = {
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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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Api.memory: {a.provider_id: a for a in available_memory_providers()},
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}
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for k, v in ret.items():
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v["remote"] = remote_provider_spec(k)
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return ret
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