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# Copyright 2024 the LlamaFactory team. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
import json | |
import re | |
from abc import ABC, abstractmethod | |
from dataclasses import dataclass, field | |
from typing import Any, Dict, List, Literal, Optional, Sequence, Set, Tuple, Union | |
SLOTS = Sequence[Union[str, Set[str], Dict[str, str]]] | |
JSON_FORMAT_PROMPT = ( | |
""", in a JSON format representing the kwargs (e.g. ```{"input": "hello world", "num_beams": 5}```)""" | |
) | |
TOOL_SYSTEM_PROMPT = ( | |
"You have access to the following tools:\n{tool_text}" | |
"Use the following format if using a tool:\n" | |
"```\n" | |
"Action: tool name (one of [{tool_names}]).\n" | |
"Action Input: the input to the tool{format_prompt}.\n" | |
"```\n" | |
) | |
def default_tool_formatter(tools: List[Dict[str, Any]]) -> str: | |
tool_text = "" | |
tool_names = [] | |
for tool in tools: | |
param_text = "" | |
for name, param in tool["parameters"]["properties"].items(): | |
required = ", required" if name in tool["parameters"].get("required", []) else "" | |
enum = ", should be one of [{}]".format(", ".join(param["enum"])) if param.get("enum", None) else "" | |
items = ( | |
", where each item should be {}".format(param["items"].get("type", "")) if param.get("items") else "" | |
) | |
param_text += " - {name} ({type}{required}): {desc}{enum}{items}\n".format( | |
name=name, | |
type=param.get("type", ""), | |
required=required, | |
desc=param.get("description", ""), | |
enum=enum, | |
items=items, | |
) | |
tool_text += "> Tool Name: {name}\nTool Description: {desc}\nTool Args:\n{args}\n".format( | |
name=tool["name"], desc=tool.get("description", ""), args=param_text | |
) | |
tool_names.append(tool["name"]) | |
return TOOL_SYSTEM_PROMPT.format( | |
tool_text=tool_text, tool_names=", ".join(tool_names), format_prompt=JSON_FORMAT_PROMPT | |
) | |
def default_tool_extractor(content: str) -> Union[str, Tuple[str, str]]: | |
regex = re.compile(r"Action:\s*([a-zA-Z0-9_]+).*?Action Input:\s*(.*)", re.DOTALL) | |
action_match = re.search(regex, content) | |
if not action_match: | |
return content | |
tool_name = action_match.group(1).strip() | |
tool_input = action_match.group(2).strip().strip('"').strip("```") | |
try: | |
arguments = json.loads(tool_input) | |
except json.JSONDecodeError: | |
return content | |
return tool_name, json.dumps(arguments, ensure_ascii=False) | |
class Formatter(ABC): | |
slots: SLOTS = field(default_factory=list) | |
tool_format: Optional[Literal["default"]] = None | |
def apply(self, **kwargs) -> SLOTS: ... | |
def extract(self, content: str) -> Union[str, Tuple[str, str]]: | |
raise NotImplementedError | |
class EmptyFormatter(Formatter): | |
def __post_init__(self): | |
has_placeholder = False | |
for slot in filter(lambda s: isinstance(s, str), self.slots): | |
if re.search(r"\{\{[a-zA-Z_][a-zA-Z0-9_]*\}\}", slot): | |
has_placeholder = True | |
if has_placeholder: | |
raise ValueError("Empty formatter should not contain any placeholder.") | |
def apply(self, **kwargs) -> SLOTS: | |
return self.slots | |
class StringFormatter(Formatter): | |
def __post_init__(self): | |
has_placeholder = False | |
for slot in filter(lambda s: isinstance(s, str), self.slots): | |
if re.search(r"\{\{[a-zA-Z_][a-zA-Z0-9_]*\}\}", slot): | |
has_placeholder = True | |
if not has_placeholder: | |
raise ValueError("A placeholder is required in the string formatter.") | |
def apply(self, **kwargs) -> SLOTS: | |
elements = [] | |
for slot in self.slots: | |
if isinstance(slot, str): | |
for name, value in kwargs.items(): | |
if not isinstance(value, str): | |
raise RuntimeError("Expected a string, got {}".format(value)) | |
slot = slot.replace("{{" + name + "}}", value, 1) | |
elements.append(slot) | |
elif isinstance(slot, (dict, set)): | |
elements.append(slot) | |
else: | |
raise RuntimeError("Input must be string, set[str] or dict[str, str], got {}".format(type(slot))) | |
return elements | |
class FunctionFormatter(Formatter): | |
def __post_init__(self): | |
has_name, has_args = False, False | |
for slot in filter(lambda s: isinstance(s, str), self.slots): | |
if "{{name}}" in slot: | |
has_name = True | |
if "{{arguments}}" in slot: | |
has_args = True | |
if not has_name or not has_args: | |
raise ValueError("Name and arguments placeholders are required in the function formatter.") | |
def apply(self, **kwargs) -> SLOTS: | |
content = kwargs.pop("content") | |
try: | |
function = json.loads(content) | |
name = function["name"] | |
arguments = json.dumps(function["arguments"], ensure_ascii=False) | |
except Exception: | |
name, arguments = "", "" | |
elements = [] | |
for slot in self.slots: | |
if isinstance(slot, str): | |
slot = slot.replace("{{name}}", name).replace("{{arguments}}", arguments) | |
elements.append(slot) | |
elif isinstance(slot, (dict, set)): | |
elements.append(slot) | |
else: | |
raise RuntimeError("Input must be string, set[str] or dict[str, str], got {}".format(type(slot))) | |
return elements | |
class ToolFormatter(Formatter): | |
def __post_init__(self): | |
if self.tool_format is None: | |
raise ValueError("Tool format was not found.") | |
def apply(self, **kwargs) -> SLOTS: | |
content = kwargs.pop("content") | |
try: | |
tools = json.loads(content) | |
if not len(tools): | |
return [""] | |
if self.tool_format == "default": | |
return [default_tool_formatter(tools)] | |
else: | |
raise NotImplementedError | |
except Exception: | |
return [""] | |
def extract(self, content: str) -> Union[str, Tuple[str, str]]: | |
if self.tool_format == "default": | |
return default_tool_extractor(content) | |
else: | |
raise NotImplementedError | |