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* 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>
75 lines
2.8 KiB
Python
75 lines
2.8 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 dataclasses
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from dataclasses import dataclass
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from http import HTTPStatus
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from typing import Callable, ClassVar, Dict, List, Optional, Tuple, Union
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from .specification import (
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Info,
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SecurityScheme,
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SecuritySchemeAPI,
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SecuritySchemeHTTP,
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SecuritySchemeOpenIDConnect,
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Server,
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)
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HTTPStatusCode = Union[HTTPStatus, int, str]
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@dataclass
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class Options:
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"""
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:param server: Base URL for the API endpoint.
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:param info: Meta-information for the endpoint specification.
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:param version: OpenAPI specification version as a tuple of major, minor, revision.
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:param default_security_scheme: Security scheme to apply to endpoints, unless overridden on a per-endpoint basis.
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:param extra_types: Extra types in addition to those found in operation signatures. Use a dictionary to group related types.
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:param use_examples: Whether to emit examples for operations.
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:param success_responses: Associates operation response types with HTTP status codes.
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:param error_responses: Associates error response types with HTTP status codes.
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:param error_wrapper: True if errors are encapsulated in an error object wrapper.
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:param property_description_fun: Custom transformation function to apply to class property documentation strings.
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:param captions: User-defined captions for sections such as "Operations" or "Types", and (if applicable) groups of extra types.
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"""
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server: Server
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info: Info
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version: Tuple[int, int, int] = (3, 1, 0)
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default_security_scheme: Optional[SecurityScheme] = None
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extra_types: Union[List[type], Dict[str, List[type]], None] = None
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use_examples: bool = True
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success_responses: Dict[type, HTTPStatusCode] = dataclasses.field(
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default_factory=dict
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)
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error_responses: Dict[type, HTTPStatusCode] = dataclasses.field(
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default_factory=dict
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)
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error_wrapper: bool = False
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property_description_fun: Optional[Callable[[type, str, str], str]] = None
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captions: Optional[Dict[str, str]] = None
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default_captions: ClassVar[Dict[str, str]] = {
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"Operations": "Operations",
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"Types": "Types",
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"Events": "Events",
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"AdditionalTypes": "Additional types",
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}
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def map(self, id: str) -> str:
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"Maps a language-neutral placeholder string to language-dependent text."
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if self.captions is not None:
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caption = self.captions.get(id)
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if caption is not None:
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return caption
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caption = self.__class__.default_captions.get(id)
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if caption is not None:
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return caption
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raise KeyError(f"no caption found for ID: {id}")
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