Spaces:
Sleeping
Sleeping
File size: 4,307 Bytes
6a422c8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 |
import json
from .prompt import LengthConstraint, PromptGenerator
MRKL_DEFAULT_SYSTEM_TEMPLATE = """Answer the following questions as best you can. You have access to the following tools: `
<tool_list>"""
MRKL_DEFAULT_INSTRUCTION_TEMPLATE = """Use the following format:
Question: the input question you must answer
Thought: you should always think about what to do
Action: the action to take, should be one of [<tool_names>]
Action Input: the input to the action
Observation: the result of the action
... (this Thought/Action/Action Input/Observation can be repeated zero or more times)
Thought: I now know the final answer
Final Answer: the final answer to the original input question
Begin!
"""
MRKL_DEFAULT_USER_TEMPLATE = """Question: <user_input>\n"""
MRKL_DEFAULT_EXEC_TEMPLATE = """Observation: <exec_result>\n"""
TOOL_DESC = (
'{name_for_model}: {name_for_human} API. {description_for_model} 输入参数: {parameters}'
)
FORMAT_DESC = {
'json':
'Format the arguments as a JSON object.',
'code':
'Enclose the code within triple backticks (`)'
+ ' at the beginning and end of the code.'
}
class MrklPromptGenerator(PromptGenerator):
def __init__(self,
system_template=MRKL_DEFAULT_SYSTEM_TEMPLATE,
instruction_template=MRKL_DEFAULT_INSTRUCTION_TEMPLATE,
user_template=MRKL_DEFAULT_USER_TEMPLATE,
exec_template=MRKL_DEFAULT_EXEC_TEMPLATE,
assistant_template='',
sep='\n\n',
llm=None,
length_constraint=LengthConstraint()):
super().__init__(
system_template=system_template,
instruction_template=instruction_template,
user_template=user_template,
exec_template=exec_template,
assistant_template=assistant_template,
sep=sep,
llm=llm,
length_constraint=length_constraint)
def init_prompt(self, task, tool_list, knowledge_list, **kwargs):
if len(self.history) == 0:
super().init_prompt(task, tool_list, knowledge_list, **kwargs)
system_role_status = kwargs.get('system_role_status', False)
tool_names = [f'\'{str(tool.name)}\'' for tool in tool_list]
tool_names = ','.join(tool_names)
self.system_prompt = self.system_prompt.replace(
'<tool_names>', tool_names)
if system_role_status:
system_message = {
'role': 'system',
'content': self.system_prompt
}
self.history.insert(0, system_message)
else:
self.history[0]['content'] = self.system_prompt + self.history[
0]['content']
else:
self.history.append({
'role':
'user',
'content':
self.user_template.replace('<user_input>', task)
})
self.history.append({
'role': 'assistant',
'content': self.assistant_template
})
return self.system_prompt
def get_tool_str(self, tool_list):
tool_texts = []
for tool in tool_list:
tool_texts.append(
TOOL_DESC.format(
name_for_model=tool.name,
name_for_human=tool.name,
description_for_model=tool.description,
parameters=json.dumps(tool.parameters,
ensure_ascii=False)))
# + ' ' + FORMAT_DESC['json'])
tool_str = '\n\n'.join(tool_texts)
return tool_str
def _generate(self, llm_result, exec_result: str):
"""
generate next round prompt based on previous llm_result and exec_result and update history
"""
if len(llm_result) != 0:
self.history[-1]['content'] += f'{llm_result}'
if len(exec_result) != 0:
exec_result = self.exec_template.replace('<exec_result>',
str(exec_result))
self.history[-1]['content'] += exec_result
self.prompt = self.prompt_preprocessor(self.history)
return self.prompt
|