48 lines
2.8 KiB
Python
48 lines
2.8 KiB
Python
from pydantic import BaseModel, Field
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from typing import List
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from toolbox import update_ui_lastest_msg, get_conf
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from request_llm.bridge_all import predict_no_ui_long_connection
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from crazy_functions.json_fns.pydantic_io import GptJsonIO
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import copy, json, pickle, os, sys
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def read_avail_plugin_enum():
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from crazy_functional import get_crazy_functions
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plugin_arr = get_crazy_functions()
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# remove plugins with out explaination
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plugin_arr = {k:v for k, v in plugin_arr.items() if 'Info' in v}
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plugin_arr_info = {"F{:04d}".format(i):v["Info"] for i, v in enumerate(plugin_arr.values(), start=1)}
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plugin_arr_dict = {"F{:04d}".format(i):v for i, v in enumerate(plugin_arr.values(), start=1)}
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prompt = json.dumps(plugin_arr_info, ensure_ascii=False, indent=2)
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prompt = "\n\nThe defination of PluginEnum:\nPluginEnum=" + prompt
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return prompt, plugin_arr_dict
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def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
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plugin_arr_enum_prompt, plugin_arr_dict = read_avail_plugin_enum()
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class Plugin(BaseModel):
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plugin_selection: str = Field(description="The most related plugin from one of the PluginEnum.", default="F0000000000000")
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plugin_arg: str = Field(description="The argument of the plugin. A path or url or empty.", default="")
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# ⭐ ⭐ ⭐ 选择插件
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yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n查找可用插件中...", chatbot=chatbot, history=history, delay=0)
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gpt_json_io = GptJsonIO(Plugin)
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gpt_json_io.format_instructions += plugin_arr_enum_prompt
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inputs = "Choose the correct plugin and extract plugin_arg, the user requirement is: \n\n" + \
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">> " + txt.rstrip('\n').replace('\n','\n>> ') + '\n\n' + \
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gpt_json_io.format_instructions
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run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(
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inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
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plugin_sel = gpt_json_io.generate_output_auto_repair(run_gpt_fn(inputs, ""), run_gpt_fn)
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if plugin_sel.plugin_selection in plugin_arr_dict:
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# ⭐ ⭐ ⭐ 执行插件
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plugin = plugin_arr_dict[plugin_sel.plugin_selection]
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fn = plugin['Function']
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fn_name = fn.__name__
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msg = f'正在调用插件: {fn_name}\n\n插件说明：{plugin["Info"]}\n\n插件参数：{plugin_sel.plugin_arg}'
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yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
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yield from fn(plugin_sel.plugin_arg, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, -1)
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return
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else:
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msg = f'找不到合适插件执行该任务'
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yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
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return |