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>
133 lines
3.4 KiB
Python
133 lines
3.4 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 errno
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# Disabling potentially dangerous functions
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import os as _os
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from functools import partial
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os_funcs_to_disable = [
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"kill",
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"system",
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"putenv",
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"remove",
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"removedirs",
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"rmdir",
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"fchdir",
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"setuid",
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"fork",
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"forkpty",
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"killpg",
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"rename",
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"renames",
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"truncate",
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"replace",
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# "unlink", # Commenting as this was blocking matpltlib from rendering plots correctly
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"fchmod",
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"fchown",
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"chmod",
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"chown",
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"chroot",
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"fchdir",
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"lchflags",
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"lchmod",
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"lchown",
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"chdir",
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]
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def call_not_allowed(*args, **kwargs):
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raise OSError(errno.EPERM, "Call are not permitted in this environment")
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for func_name in os_funcs_to_disable:
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if hasattr(_os, func_name):
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setattr(_os, func_name, partial(call_not_allowed, _func_name=f"os.{func_name}"))
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import shutil as _shutil
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for func_name in ["rmtree", "move", "chown"]:
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if hasattr(_shutil, func_name):
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setattr(
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_shutil,
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func_name,
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partial(call_not_allowed, _func_name=f"shutil.{func_name}"),
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)
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import subprocess as _subprocess
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def popen_not_allowed(*args, **kwargs):
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raise _subprocess.CalledProcessError(
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-1,
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args[0] if args else "unknown",
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stderr="subprocess.Popen is not allowed in this environment",
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)
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_subprocess.Popen = popen_not_allowed
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import atexit as _atexit
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import builtins as _builtins
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import io as _io
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import json as _json
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import sys as _sys
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# NB! The following "unused" imports crucial, make sure not not to remove
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# them with linters - they're used in code_execution.py
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from contextlib import ( # noqa
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contextmanager as _contextmanager,
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redirect_stderr as _redirect_stderr,
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redirect_stdout as _redirect_stdout,
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)
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from multiprocessing.connection import Connection as _Connection
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# Mangle imports to avoid polluting model execution namespace.
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_IO_SINK = _io.StringIO()
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_NETWORK_TIMEOUT = 5
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_NETWORK_CONNECTIONS = None
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def _open_connections():
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global _NETWORK_CONNECTIONS
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if _NETWORK_CONNECTIONS is not None:
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# Ensure connections only opened once.
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return _NETWORK_CONNECTIONS
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req_w_fd, resp_r_fd = _sys.argv[1], _sys.argv[2]
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req_con = _Connection(int(req_w_fd), readable=False)
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resp_con = _Connection(int(resp_r_fd), writable=False)
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_NETWORK_CONNECTIONS = (req_con, resp_con)
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return _NETWORK_CONNECTIONS
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_builtins._open_connections = _open_connections
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@_atexit.register
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def _close_connections():
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global _NETWORK_CONNECTIONS
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if _NETWORK_CONNECTIONS is None:
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return
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for con in _NETWORK_CONNECTIONS:
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con.close()
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del _NETWORK_CONNECTIONS
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def _network_call(request):
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# NOTE: We communicate with the parent process in json, encoded
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# in raw bytes. We do this because native send/recv methods use
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# pickle which involves execution of arbitrary code.
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_open_connections()
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req_con, resp_con = _NETWORK_CONNECTIONS
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req_con.send_bytes(_json.dumps(request).encode("utf-8"))
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if resp_con.poll(timeout=_NETWORK_TIMEOUT) is None:
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raise Exception(f"Network request timed out: {_json.dumps(request)}")
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else:
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return _json.loads(resp_con.recv_bytes().decode("utf-8"))
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