implement two stage plugin selection

crazy_functions/vt_fns/vt_call_plugin.py

@@ -5,6 +5,7 @@
 from crazy_functions.json_fns.pydantic_io import GptJsonIO
 import copy, json, pickle, os, sys
 
+
 def read_avail_plugin_enum():
     from crazy_functional import get_crazy_functions
     plugin_arr = get_crazy_functions()
@@ -16,6 +17,7 @@ def read_avail_plugin_enum():
     prompt = "\n\nThe defination of PluginEnum:\nPluginEnum=" + prompt
     return prompt, plugin_arr_dict
 
+
 def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
     plugin_arr_enum_prompt, plugin_arr_dict = read_avail_plugin_enum()
     class Plugin(BaseModel):
@@ -33,16 +35,32 @@ class Plugin(BaseModel):
         inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
     plugin_sel = gpt_json_io.generate_output_auto_repair(run_gpt_fn(inputs, ""), run_gpt_fn)
 
-    if plugin_sel.plugin_selection in plugin_arr_dict:
-        # ⭐ ⭐ ⭐ 执行插件
-        plugin = plugin_arr_dict[plugin_sel.plugin_selection]
-        fn = plugin['Function']
-        fn_name = fn.__name__
-        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}'
-        yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
-        yield from fn(plugin_sel.plugin_arg, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, -1)
-        return
-    else:
+    if plugin_sel.plugin_selection not in plugin_arr_dict:
         msg = f'找不到合适插件执行该任务'
         yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
-        return
+        return
+
+    # ⭐ ⭐ ⭐ 确认插件参数
+    plugin = plugin_arr_dict[plugin_sel.plugin_selection]
+    yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n提取插件参数...", chatbot=chatbot, history=history, delay=0)
+    class PluginExplicit(BaseModel):
+        plugin_selection: str = plugin_sel.plugin_selection
+        plugin_arg: str = Field(description="The argument of the plugin.", default="")
+    gpt_json_io = GptJsonIO(PluginExplicit)
+    gpt_json_io.format_instructions += "The information about this plugin is:" + plugin["Info"]
+    inputs = f"A plugin named {plugin_sel.plugin_selection} is selected, " + \
+             "you should extract plugin_arg from the user requirement, the user requirement is: \n\n" + \
+             ">> " + txt.rstrip('\n').replace('\n','\n>> ') + '\n\n' + \
+             gpt_json_io.format_instructions 
+    run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(
+        inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
+    plugin_sel = gpt_json_io.generate_output_auto_repair(run_gpt_fn(inputs, ""), run_gpt_fn)
+
+
+    # ⭐ ⭐ ⭐ 执行插件
+    fn = plugin['Function']
+    fn_name = fn.__name__
+    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}'
+    yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
+    yield from fn(plugin_sel.plugin_arg, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, -1)
+    return