File size: 9,671 Bytes
0d921c7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
120
121
122
123
124
125
126
127
128
129
import os 

from typing import List
from ExecAction import ExecAction
from agentlite.actions import BaseAction, FinishAct, ThinkAct
from agentlite.agents import BaseAgent
from agentlite.commons import TaskPackage
from agentlite.commons import AgentAct
from agentlite.llm.agent_llms import get_llm_backend, LLMConfig
from agentlite.llm.agent_llms import BaseLLM
from agentlite.logging.terminal_logger import AgentLogger
agent_logger = AgentLogger(PROMPT_DEBUG_FLAG=False)
# LAM_URL = os.environ["LAM_URL"]
# print(LAM_URL)
# llm_config = LLMConfig(
#         {
#             "llm_name": "xlam_v2", 
#             "temperature": 0.0, 
#             "base_url": LAM_URL,
#             "api_key": "EMPTY"
#         }
#     )
llm_name = "gpt-4"#3.5-turbo"#-16k"#-0613"#gpt-4"
llm_config = LLMConfig({"llm_name": llm_name, "temperature": 0.0,
        "api_key": "",})
llm = get_llm_backend(llm_config)
class ExecAgent(BaseAgent):
    def __init__(
        self, llm: BaseLLM, actions: List[BaseAction] = [ExecAction()], **kwargs
    ):
        name = "ExecAgent"
        role = "read the params, and send and receive the requests. iid should also be string. choose the url from the servers' url list:\
                qa server is http://api.serpstack.com/search?access_key={key}&query={query}\n\
                news query server is http://api.mediastack.com/v1/news?access_key={key}&keywords={keyword}&date={date}&sort=published_desc\n\
                news subscription server http://127.0.0.1:3020/news,intent(news_subscription),iid,news_topic,\
                weather server first request https://geocoding-api.open-meteo.com/v1/search?name={place_name}&count=10&language=en&format=json to get latitude and latitude, then request https://api.open-meteo.com/v1/forecast?latitude={latitude}&longitude={longitude}&daily=temperature_2m_max,temperature_2m_min,sunrise,sunset,uv_index_max,rain_sum,showers_sum,snowfall_sum,wind_speed_10m_max\n\
                stock server is first to get the stock symbol http://api.serpstack.com/search? access_key = {key}& query = {name} stock symbol , then request to this server http://api.marketstack.com/v1/eod? access_key = {key}& symbols = {symbol}&limit=5\n\
                currency server is https://www.amdoren.com/api/currency.php?api_key={key}&from={currency}&to={currency2}&amount={amount}\n\
                http://127.0.0.1:3000/alarm, intent(alarm_query,alarm_set),iid,event_name,descriptor,time,from_time,to_time,\
                http://127.0.0.1:3001/audiobook,intent(play_audiobook), iid,player_setting,house_place,media_type,descriptor,audiobook_name,author_name,\
                http://127.0.0.1:3002/calendar,intent(calendar_query,calendar_remove,calendar_set),iid,event_name,descriptor,person,relation,date,time,from_time,to_time,\
                http://127.0.0.1:3003/cooking,intent(cooking_recipe),iid,food_type,descriptor,\
                http://127.0.0.1:3004/datetime,intent(datetime_convert,datetime_query),iid,place_name,descriptor,time_zone,time_zone2,date,time,time2,\
                http://127.0.0.1:3005/email,intent(email_query,email_sendemail),iid,setting,person,to_person,from_person,relation,to_relation,from_relation,email_folder,time,date,email_address,app_name,query,content,personal_info,\
                http://127.0.0.1:3006/game,intent(play_game),iid,game_name,\
                http://127.0.0.1:3007/iot,intent(iot_coffee,iot_hue_lightcolor,iot_hue_lightother,iot_hue_lightdim,iot_hue_lightup,audio_volume_mute,iot_hue_lightoff,audio_volume_up,iot_wemo_off,audio_volume_other,iot_cleaning,iot_wemo_on,audio_volume_down),iid,device_type,house_place,time,color_type,change_amount,change_to,item_name,setting,\
                http://127.0.0.1:3008/lists,intent(lists_query,lists_remove,lists_createoradd),iid,list_name,item_name,descriptor,time,date,\
                http://127.0.0.1:3009/music,intent(play_music,music_likeness,playlists_createoradd,music_settings,music_dislikeness,music_query),iid,player_setting,descriptor,artist_name,song_name,playlist_name,music_genre,query,\
                http://127.0.0.1:3010/phone,intent(phone_text,phone_notification),iid,device_type,event_name,text,\
                http://127.0.0.1:3011/podcasts,intent(play_podcasts),iid,podcast_name,player_setting,podcast_descriptor,\
                http://127.0.0.1:3013/radio,intent(play_radio,radio_query),iid,radio_name,app_name,person_name,music_genre,device_type,house_place,player_setting,descriptor,query,time,\
                http://127.0.0.1:3014/recommendation,intent(recommendation_events,recommendation_movies,recommendation_locations),iid,business_type,food_type,movie_type,movie_name,date,place_name,event_name,descriptor,\
                http://127.0.0.1:3015/social,intent(social_query,social_post),iid,media_type,person,business_name,content,date,descriptor,\
                http://127.0.0.1:3017/takeaway,intent(takeaway_query,takeaway_order),iid,food_type,order_type,business_type,business_name,place_name,date,time,descriptor,\
                http://127.0.0.1:3018/transport,intent(transport_taxi,transport_ticket,transport_query,transport_traffic),iid,transport_agency,transport_type,business_type,business_name,place_name,to_place_name,from_place_name,query,date,time,descriptor,\
"
        super().__init__(
            name=name, role=role, llm=llm, actions=actions, logger=agent_logger
        )
        self.__build_examples__()

    def __build_examples__(self):
        """
        constructing the examples for agent working.
        Each example is a successful action-obs chain of an agent.
        those examples should cover all those api calls
        """
        # an example of search agent with wikipedia api call
        # task
        task = "intent:set_notification"


                # 2. api call action and obs
        act_params = {}
        act_1 = AgentAct(name=ExecAction().action_name, params=act_params)
        obs_1 = "OK"
        '''
        # 3. think action and obs
        thought = "I find salesforce is Founded by former Oracle executive Marc Benioff in February 1999"
        act_3 = AgentAct(name=ThinkAct.action_name, params={INNER_ACT_KEY: thought})
        obs_3 = "OK"

        # 4. finish action
        answer = "February 1999"
        act_4 = AgentAct(name=FinishAct.action_name, params={INNER_ACT_KEY: answer})
        obs_4 = "Task Completed."

        task_pack = TaskPackage(instruction=task)
        act_obs = [(act_1, obs_1), (act_2, obs_2), (act_3, obs_3), (act_4, obs_4)]
        self.add_example(task=task_pack, action_chain=act_obs)
        '''
def test_search_agent():
    llm_config_dict = {"llm_name": "gpt-4", "temperature": 0.1}
    actions = [ExecAction()]
    llm_config = LLMConfig(llm_config_dict)
    # print(llm_config.__dict__)
    llm = get_llm_backend(llm_config)
    ## test the one-shot wikipedia search agent
    labor_agent = ExecAgent(llm=llm)
    # labor_agent = DuckSearchAgent(llm=llm)

    test_task = "intent:set_notification, news_category:world news"
    test_task_pack = TaskPackage(instruction=test_task)
    response = labor_agent(test_task_pack)
    print("response:", response)


if __name__ == "__main__":
    test_search_agent()

'''
agent_actions = []#get_intent(),get_user_current_date(), get_user_current_location(), get_latitude_longitude()]#, get_weather_forcast()]
agent = BaseAgent(
    name=agent_info["name"],
    role=agent_info["role"],
    llm=llm,
    actions=agent_actions,
    #reasoning_type="react",
)
prompt="the examples and results: turn up	intent:audio_volume_up\nwhat's the current weather	intent:weather_query\ni want you to remind me the next meeting with my girlfriend it will be at eight pm next sunday	intent:calendar_set,event_name : meeting,relation:girlfriend, time : eight pm, date : next Sunday\ncancel alarm for tenth of march two thousand seventeen	intent:alarm_remove,date : tenth of march two thousand seventeen\nhave you heard any good jokes lately	intent:general_joke\nget it fast resolved	intent:social_post\nalexa book me a train ticket for this afternoon to chicago	intent:transport_ticket,transport_type : train, timeofday : this afternoon, place_name : chicago\ni did not want you to send that text yet wait until i say send	intent:email_sendemail,setting:save\nwhat causes if i had junk food and alcohols	intent:general_quirky,content:what causes if i had junk food and alcohols\nfind a recipe for a romantic dinner for two	intent:cooking_recipe,food_descriptor: romantic dinner for two\nplease turn up the lights in this room	intent:iot_hue_lightup,house_place:this room\nwhats happening in pop industry	intent:news_query	,news_topic : pop industry\nis today the fourth or the fifth	intent:datetime_query,date : today\nthe wemo plug should be turned off on	intent:iot_wemo_off,device_type : wemo plug\nwhen i get home can you please order a pizza	intent:takeaway_order,food_type : pizza\nfind the events	intent:recommendation_events\nstart radio and go to frequency on one thousand and forty eight	intent:play_radio,radio_name : one thousand and forty eight\ni want to listen arijit singh song once again	intent:play_music,artist_name : arijit singh\nplease arrange to wake me up at three am alarm	intent:alarm_set,time : three am\nstart dune from where i left off	intent:play_audiobook,player_setting : resume, audiobook_name : dune\n please return the result of this sentence: "
FLAG_CONTINUE = True
while FLAG_CONTINUE:
    input_text = input("Ask Intent Agent question:\n")
    task = TaskPackage(instruction=prompt+"\n"+input_text)
    agent(task)
    if input("Do you want to continue? (y/n): ") == "n":
        FLAG_CONTINUE = False
'''