Support Mistral format tools

Former-commit-id: 115924af47496daa747a018952b6a32ccbd9cecb
This commit is contained in:
ylfeng 2024-09-18 21:45:25 +08:00 committed by hiyouga
parent ad00c793ce
commit 857d23b324
6 changed files with 160 additions and 60 deletions

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@ -168,7 +168,7 @@ async def create_chat_completion_response(
if isinstance(result, list):
tool_calls = []
for tool in result:
function = Function(name=tool[0], arguments=tool[1])
function = Function(name=tool.name, arguments=tool.arguments)
tool_calls.append(FunctionCall(id=f"call_{uuid.uuid4().hex}", function=function))
response_message = ChatCompletionMessage(role=Role.ASSISTANT, tool_calls=tool_calls)

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@ -16,16 +16,12 @@ import json
import re
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, List, Optional, Tuple, Union
from typing import List, Optional, Union
from typing_extensions import override
from .data_utils import SLOTS
from .tool_utils import get_tool_utils
if TYPE_CHECKING:
from .tool_utils import FunctionCall
from .tool_utils import FunctionCall, get_tool_utils
@dataclass
@ -98,19 +94,21 @@ class StringFormatter(Formatter):
@dataclass
class FunctionFormatter(Formatter):
def __post_init__(self):
self.function_slots = get_tool_utils(self.tool_format).get_function_slots()
self.tool_utils = get_tool_utils(self.tool_format)
@override
def apply(self, **kwargs) -> SLOTS:
content = kwargs.pop("content")
functions: List[Tuple[str, str]] = []
functions: List["FunctionCall"] = []
try:
tool_calls = json.loads(content)
if not isinstance(tool_calls, list): # parallel function call
tool_calls = [tool_calls]
for tool_call in tool_calls:
functions.append((tool_call["name"], json.dumps(tool_call["arguments"], ensure_ascii=False)))
functions.append(
FunctionCall(tool_call["name"], json.dumps(tool_call["arguments"], ensure_ascii=False))
)
except json.JSONDecodeError:
raise RuntimeError(f"Invalid JSON format in function message: {str([content])}") # flat string
@ -118,15 +116,7 @@ class FunctionFormatter(Formatter):
elements = []
for slot in self.slots:
if slot == "{{content}}":
for name, arguments in functions:
for slot in self.function_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(f"Input must be string, set[str] or dict[str, str], got {type(slot)}")
elements += self.tool_utils.function_formatter(functions)
else:
elements.append(slot)

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@ -30,6 +30,7 @@ if TYPE_CHECKING:
from ..hparams import DataArguments
from .formatter import SLOTS, Formatter
from .mm_plugin import BasePlugin
from .tool_utils import FunctionCall
logger = logging.get_logger(__name__)
@ -83,7 +84,7 @@ class Template:
encoded_messages = self._encode(tokenizer, messages, system, tools)
return [(encoded_messages[i], encoded_messages[i + 1]) for i in range(0, len(encoded_messages), 2)]
def extract_tool(self, content: str) -> Union[str, List[Tuple[str, str]]]:
def extract_tool(self, content: str) -> Union[str, List["FunctionCall"]]:
r"""
Extracts tool message.
"""
@ -244,7 +245,7 @@ def _register_template(
)
```
"""
template_class = Llama2Template if name.startswith("llama2") else Template
template_class = Llama2Template if any(k in name for k in ("llama2", "mistral")) else Template
default_slots = ["{{content}}"] if efficient_eos else ["{{content}}", {"eos_token"}]
default_user_formatter = StringFormatter(slots=["{{content}}"])
default_assistant_formatter = StringFormatter(slots=default_slots)
@ -854,7 +855,11 @@ _register_template(
# copied from mistral template
_register_template(
name="llava_next_mistral",
format_user=StringFormatter(slots=["[INST] {{content}} [/INST]"]),
format_user=StringFormatter(slots=["[INST] {{content}}[/INST]"]),
format_assistant=StringFormatter(slots=[" {{content}}", {"eos_token"}]),
format_function=FunctionFormatter(slots=["[TOOL_CALLS] ", "{{content}}", {"eos_token"}], tool_format="mistral"),
format_observation=StringFormatter(slots=["""[TOOL_RESULTS] {"content": {{content}}}[/TOOL_RESULTS]"""]),
format_tools=ToolFormatter(tool_format="mistral"),
format_prefix=EmptyFormatter(slots=[{"bos_token"}]),
mm_plugin=get_mm_plugin(name="llava_next", image_token="<image>"),
)
@ -902,7 +907,11 @@ _register_template(
# copied from mistral template
_register_template(
name="llava_next_video_mistral",
format_user=StringFormatter(slots=["[INST] {{content}} [/INST]"]),
format_user=StringFormatter(slots=["[INST] {{content}}[/INST]"]),
format_assistant=StringFormatter(slots=[" {{content}}", {"eos_token"}]),
format_function=FunctionFormatter(slots=["[TOOL_CALLS] ", "{{content}}", {"eos_token"}], tool_format="mistral"),
format_observation=StringFormatter(slots=["""[TOOL_RESULTS] {"content": {{content}}}[/TOOL_RESULTS]"""]),
format_tools=ToolFormatter(tool_format="mistral"),
format_prefix=EmptyFormatter(slots=[{"bos_token"}]),
mm_plugin=get_mm_plugin(name="llava_next_video", image_token="<image>", video_token="<video>"),
)
@ -939,7 +948,11 @@ _register_template(
_register_template(
name="mistral",
format_user=StringFormatter(slots=["[INST] {{content}} [/INST]"]),
format_user=StringFormatter(slots=["[INST] {{content}}[/INST]"]),
format_assistant=StringFormatter(slots=[" {{content}}", {"eos_token"}]),
format_function=FunctionFormatter(slots=["[TOOL_CALLS] ", "{{content}}", {"eos_token"}], tool_format="mistral"),
format_observation=StringFormatter(slots=["""[TOOL_RESULTS] {"content": {{content}}}[/TOOL_RESULTS]"""]),
format_tools=ToolFormatter(tool_format="mistral"),
format_prefix=EmptyFormatter(slots=[{"bos_token"}]),
)

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@ -15,17 +15,18 @@
import json
import re
from abc import ABC, abstractmethod
from collections import namedtuple
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Dict, List, Tuple, Union
from typing import Any, Dict, List, NamedTuple, Tuple, Union
from typing_extensions import override
from .data_utils import SLOTS
FunctionCall = namedtuple("FunctionCall", ["name", "arguments"])
class FunctionCall(NamedTuple):
name: str
arguments: str
DEFAULT_TOOL_PROMPT = (
@ -38,13 +39,11 @@ DEFAULT_TOOL_PROMPT = (
"```\n"
)
GLM4_TOOL_PROMPT = (
"你是一个名为 ChatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,"
"你的任务是针对用户的问题和要求提供适当的答复和支持。# 可用工具{tool_text}"
)
LLAMA3_TOOL_PROMPT = (
"Cutting Knowledge Date: December 2023\nToday Date: {date}\n\n"
"You have access to the following functions. To call a function, please respond with JSON for a function call. "
@ -59,14 +58,6 @@ class ToolUtils(ABC):
Base class for tool utilities.
"""
@staticmethod
@abstractmethod
def get_function_slots() -> SLOTS:
r"""
Gets a list of slots corresponding to a single function call.
"""
...
@staticmethod
@abstractmethod
def tool_formatter(tools: List[Dict[str, Any]]) -> str:
@ -75,21 +66,24 @@ class ToolUtils(ABC):
"""
...
@staticmethod
@abstractmethod
def function_formatter(functions: List["FunctionCall"]) -> SLOTS:
r"""
Generates the assistant message including all the tool calls.
"""
...
@staticmethod
@abstractmethod
def tool_extractor(content: str) -> Union[str, List["FunctionCall"]]:
r"""
Extracts all the function calls from the response message.
Extracts all the function calls from the assistant message.
"""
...
class DefaultToolUtils(ToolUtils):
@override
@staticmethod
def get_function_slots() -> SLOTS:
return ["Action: {{name}}\nAction Input: {{arguments}}\n"]
@override
@staticmethod
def tool_formatter(tools: List[Dict[str, Any]]) -> str:
@ -124,6 +118,15 @@ class DefaultToolUtils(ToolUtils):
return DEFAULT_TOOL_PROMPT.format(tool_text=tool_text, tool_names=", ".join(tool_names))
@override
@staticmethod
def function_formatter(functions: List["FunctionCall"]) -> SLOTS:
function_text = ""
for name, arguments in functions:
function_text += f"Action: {name}\nAction Input: {arguments}\n"
return [function_text]
@override
@staticmethod
def tool_extractor(content: str) -> Union[str, List["FunctionCall"]]:
@ -138,7 +141,7 @@ class DefaultToolUtils(ToolUtils):
tool_input = match[1].strip().strip('"').strip("```")
try:
arguments = json.loads(tool_input)
results.append((tool_name, json.dumps(arguments, ensure_ascii=False)))
results.append(FunctionCall(tool_name, json.dumps(arguments, ensure_ascii=False)))
except json.JSONDecodeError:
return content
@ -146,11 +149,6 @@ class DefaultToolUtils(ToolUtils):
class GLM4ToolUtils(ToolUtils):
@override
@staticmethod
def get_function_slots() -> SLOTS:
return ["{{name}}\n{{arguments}}"]
@override
@staticmethod
def tool_formatter(tools: List[Dict[str, Any]]) -> str:
@ -162,6 +160,14 @@ class GLM4ToolUtils(ToolUtils):
return GLM4_TOOL_PROMPT.format(tool_text=tool_text)
@override
@staticmethod
def function_formatter(functions: List["FunctionCall"]) -> SLOTS:
if len(functions) > 1:
raise ValueError("GLM-4 does not support parallel functions.")
return [f"{functions[0].name}\n{functions[0].arguments}"]
@override
@staticmethod
def tool_extractor(content: str) -> Union[str, List["FunctionCall"]]:
@ -174,7 +180,7 @@ class GLM4ToolUtils(ToolUtils):
except json.JSONDecodeError:
return content
return [(tool_name, json.dumps(arguments, ensure_ascii=False))]
return [FunctionCall(tool_name, json.dumps(arguments, ensure_ascii=False))]
class Llama3ToolUtils(ToolUtils):
@ -184,11 +190,6 @@ class Llama3ToolUtils(ToolUtils):
Reference: https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_1/#json-based-tool-calling
"""
@override
@staticmethod
def get_function_slots() -> SLOTS:
return ["""{"name": "{{name}}", "parameters": {{arguments}}}"""]
@override
@staticmethod
def tool_formatter(tools: List[Dict[str, Any]]) -> str:
@ -200,6 +201,14 @@ class Llama3ToolUtils(ToolUtils):
return LLAMA3_TOOL_PROMPT.format(date=date, tool_text=tool_text)
@override
@staticmethod
def function_formatter(functions: List["FunctionCall"]) -> SLOTS:
if len(functions) > 1:
raise ValueError("Llama 3 does not support parallel functions.")
return [f'{{"name": "{functions[0].name}", "parameters": {functions[0].arguments}}}']
@override
@staticmethod
def tool_extractor(content: str) -> Union[str, List["FunctionCall"]]:
@ -211,13 +220,54 @@ class Llama3ToolUtils(ToolUtils):
if "name" not in tool or "parameters" not in tool:
return content
return [(tool["name"], json.dumps(tool["parameters"], ensure_ascii=False))]
return [FunctionCall(tool["name"], json.dumps(tool["parameters"], ensure_ascii=False))]
class MistralToolUtils(ToolUtils):
@override
@staticmethod
def tool_formatter(tools: List[Dict[str, Any]]) -> str:
wrapped_tools = []
for tool in tools:
wrapped_tools.append({"type": "function", "function": tool})
return "[AVAILABLE_TOOLS] " + json.dumps(wrapped_tools, ensure_ascii=False) + "[/AVAILABLE_TOOLS]"
@override
@staticmethod
def function_formatter(functions: List["FunctionCall"]) -> SLOTS:
function_texts = []
for name, arguments in functions:
function_texts.append(f'{{"name": "{name}", "arguments": {arguments}}}')
return ["[" + ", ".join(function_texts) + "]"]
@override
@staticmethod
def tool_extractor(content: str) -> Union[str, List["FunctionCall"]]:
try:
tools = json.loads(content.strip())
except json.JSONDecodeError:
return content
if not isinstance(tools, list):
tools = [tools]
results = []
for tool in tools:
if "name" not in tool or "arguments" not in tool:
return content
results.append(FunctionCall(tool["name"], json.dumps(tool["arguments"], ensure_ascii=False)))
return results
TOOLS = {
"default": DefaultToolUtils(),
"glm4": GLM4ToolUtils(),
"llama3": Llama3ToolUtils(),
"mistral": MistralToolUtils(),
}

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@ -157,7 +157,7 @@ class WebChatModel(ChatModel):
result = response
if isinstance(result, list):
tool_calls = [{"name": tool[0], "arguments": json.loads(tool[1])} for tool in result]
tool_calls = [{"name": tool.name, "arguments": json.loads(tool.arguments)} for tool in result]
tool_calls = json.dumps(tool_calls, indent=4, ensure_ascii=False)
output_messages = messages + [{"role": Role.FUNCTION.value, "content": tool_calls}]
bot_text = "```json\n" + tool_calls + "\n```"

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@ -59,7 +59,7 @@ def test_multi_function_formatter():
formatter = FunctionFormatter(slots=["{{content}}", "</s>"], tool_format="default")
tool_calls = json.dumps([FUNCTION] * 2)
assert formatter.apply(content=tool_calls) == [
"""Action: tool_name\nAction Input: {"foo": "bar", "size": 10}\n""",
"""Action: tool_name\nAction Input: {"foo": "bar", "size": 10}\n"""
"""Action: tool_name\nAction Input: {"foo": "bar", "size": 10}\n""",
"</s>",
]
@ -112,7 +112,7 @@ def test_glm4_tool_formatter():
assert formatter.apply(content=json.dumps(TOOLS)) == [
"你是一个名为 ChatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的,"
"你的任务是针对用户的问题和要求提供适当的答复和支持。# 可用工具\n\n"
f"## test_tool\n\n{json.dumps(TOOLS[0], indent=4)}\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
f"## test_tool\n\n{json.dumps(TOOLS[0], indent=4, ensure_ascii=False)}\n在调用上述函数时,请使用 Json 格式表示调用的参数。"
]
@ -139,7 +139,7 @@ def test_llama3_tool_formatter():
f"Cutting Knowledge Date: December 2023\nToday Date: {date}\n\n"
"You have access to the following functions. To call a function, please respond with JSON for a function call. "
"""Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. """
f"Do not use variables.\n\n{json.dumps(wrapped_tool, indent=4)}\n\n"
f"Do not use variables.\n\n{json.dumps(wrapped_tool, indent=4, ensure_ascii=False)}\n\n"
]
@ -147,3 +147,50 @@ def test_llama3_tool_extractor():
formatter = ToolFormatter(tool_format="llama3")
result = """{"name": "test_tool", "parameters": {"foo": "bar", "size": 10}}\n"""
assert formatter.extract(result) == [("test_tool", """{"foo": "bar", "size": 10}""")]
def test_mistral_function_formatter():
formatter = FunctionFormatter(slots=["[TOOL_CALLS] ", "{{content}}", "</s>"], tool_format="mistral")
tool_calls = json.dumps(FUNCTION)
assert formatter.apply(content=tool_calls) == [
"[TOOL_CALLS] ",
"""[{"name": "tool_name", "arguments": {"foo": "bar", "size": 10}}]""",
"</s>",
]
def test_mistral_multi_function_formatter():
formatter = FunctionFormatter(slots=["[TOOL_CALLS] ", "{{content}}", "</s>"], tool_format="mistral")
tool_calls = json.dumps([FUNCTION] * 2)
assert formatter.apply(content=tool_calls) == [
"[TOOL_CALLS] ",
"""[{"name": "tool_name", "arguments": {"foo": "bar", "size": 10}}, """
"""{"name": "tool_name", "arguments": {"foo": "bar", "size": 10}}]""",
"</s>",
]
def test_mistral_tool_formatter():
formatter = ToolFormatter(tool_format="mistral")
wrapped_tool = {"type": "function", "function": TOOLS[0]}
assert formatter.apply(content=json.dumps(TOOLS)) == [
"[AVAILABLE_TOOLS] " + json.dumps([wrapped_tool], ensure_ascii=False) + "[/AVAILABLE_TOOLS]"
]
def test_mistral_tool_extractor():
formatter = ToolFormatter(tool_format="mistral")
result = """{"name": "test_tool", "arguments": {"foo": "bar", "size": 10}}"""
assert formatter.extract(result) == [("test_tool", """{"foo": "bar", "size": 10}""")]
def test_mistral_multi_tool_extractor():
formatter = ToolFormatter(tool_format="mistral")
result = (
"""[{"name": "test_tool", "arguments": {"foo": "bar", "size": 10}}, """
"""{"name": "another_tool", "arguments": {"foo": "job", "size": 2}}]"""
)
assert formatter.extract(result) == [
("test_tool", """{"foo": "bar", "size": 10}"""),
("another_tool", """{"foo": "job", "size": 2}"""),
]