File size: 2,523 Bytes
e7ece9c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
import autogen
from ..agentics.agents import AgentsFactory

# agents_factory = AgentsFactory()

# Function to reset agents
def _reset_agents():
    boss_aid.reset()


# Define functions for each team
def codingteam():
    _reset_agents()
    team = autogen.GroupChat(
        agents=[scitonic, coder, pm, reviewer],
        messages=[],
        max_round=12,
        speaker_selection_method="round_robin"
    )

    manager = autogen.GroupChatManager(groupchat=team, llm_config=llm_config)
    boss_aid.initiate_chat(manager, problem=PROBLEM, n_results=3)

def covid19team():
    _reset_agents()
    team = autogen.GroupChat(
        agents=[scitonic, covid19_scientist, healthcare_expert, finance_analyst],
        messages=[],
        max_round=12
    )

    manager = autogen.GroupChatManager(groupchat=team, llm_config=llm_config)
    boss_aid.initiate_chat(manager, covid19_problem=COVID19_PROBLEM, n_results=3)

def financeteam():
    _reset_agents()
    team = autogen.GroupChat(
        agents=[scitonic, finance_analyst, pm, reviewer, finance_expert],
        messages=[],
        max_round=12,
        speaker_selection_method="round_robin"
    )

    manager = autogen.GroupChatManager(groupchat=team, llm_config=llm_config)
    boss_aid.initiate_chat(manager, finance_problem=FINANCE_PROBLEM, n_results=3)

def debateteam():
    _reset_agents()
    team = autogen.GroupChat(
        agents=[scitonic, debate_expert, pm, reviewer, debate_champion],
        messages=[],
        max_round=12,
        speaker_selection_method="round_robin"
    )

    manager = autogen.GroupChatManager(groupchat=team, llm_config=llm_config)
    boss_aid.initiate_chat(manager, debate_problem=DEBATE_PROBLEM, n_results=3)

def homeworkteam():
    _reset_agents()
    team = autogen.GroupChat(
        agents=[scitonic, academic_expert, pm, reviewer, academic_whiz],
        messages=[],
        max_round=12,
        speaker_selection_method="round_robin"
    )

    manager = autogen.GroupChatManager(groupchat=team, llm_config=llm_config)
    boss_aid.initiate_chat(manager, homework_problem=HOMEWORK_PROBLEM, n_results=3)

def consultingteam():
    _reset_agents()
    team = autogen.GroupChat(
        agents=[scitonic, consultant, pm, reviewer, consulting_pro],
        messages=[],
        max_round=12,
        speaker_selection_method="round_robin"
    )

    manager = autogen.GroupChatManager(groupchat=team, llm_config=llm_config)
    boss_aid.initiate_chat(manager, consulting_problem=CONSULTING_PROBLEM, n_results=3)