Spaces:
Sleeping
Sleeping
Upload 5 files
Browse files
examples/cmd/agent_deploy/team_agent/__init__.py
ADDED
File without changes
|
examples/cmd/agent_deploy/team_agent/agent.py
ADDED
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import logging
|
2 |
+
import os
|
3 |
+
import json
|
4 |
+
from aworld.cmd import BaseAWorldAgent, ChatCompletionRequest
|
5 |
+
from aworld.config.conf import AgentConfig, TaskConfig
|
6 |
+
from aworld.agents.llm_agent import Agent
|
7 |
+
from aworld.core.agent.swarm import Swarm
|
8 |
+
from aworld.core.task import Task
|
9 |
+
from aworld.runner import Runners
|
10 |
+
from examples.plan_execute.agent import PlanAgent
|
11 |
+
from .prompt import *
|
12 |
+
|
13 |
+
logger = logging.getLogger(__name__)
|
14 |
+
|
15 |
+
|
16 |
+
class AWorldAgent(BaseAWorldAgent):
|
17 |
+
def __init__(self, *args, **kwargs):
|
18 |
+
super().__init__(*args, **kwargs)
|
19 |
+
|
20 |
+
def name(self):
|
21 |
+
return "Team Agent"
|
22 |
+
|
23 |
+
def description(self):
|
24 |
+
return "Team Agent with fetch and time mcp server"
|
25 |
+
|
26 |
+
async def run(self, prompt: str = None, request: ChatCompletionRequest = None):
|
27 |
+
llm_provider = os.getenv("LLM_PROVIDER_TEAM", "openai")
|
28 |
+
llm_model_name = os.getenv("LLM_MODEL_NAME_TEAM")
|
29 |
+
llm_api_key = os.getenv("LLM_API_KEY_TEAM")
|
30 |
+
llm_base_url = os.getenv("LLM_BASE_URL_TEAM")
|
31 |
+
llm_temperature = os.getenv("LLM_TEMPERATURE_TEAM", 0.0)
|
32 |
+
|
33 |
+
if not llm_model_name or not llm_api_key or not llm_base_url:
|
34 |
+
raise ValueError(
|
35 |
+
"LLM_MODEL_NAME, LLM_API_KEY, LLM_BASE_URL must be set in your envrionment variables"
|
36 |
+
)
|
37 |
+
|
38 |
+
agent_config = AgentConfig(
|
39 |
+
llm_provider=llm_provider,
|
40 |
+
llm_model_name=llm_model_name,
|
41 |
+
llm_api_key=llm_api_key,
|
42 |
+
llm_base_url=llm_base_url,
|
43 |
+
llm_temperature=llm_temperature,
|
44 |
+
)
|
45 |
+
|
46 |
+
path_cwd = os.path.dirname(os.path.abspath(__file__))
|
47 |
+
mcp_path = os.path.join(path_cwd, "mcp.json")
|
48 |
+
with open(mcp_path, "r") as f:
|
49 |
+
mcp_config = json.load(f)
|
50 |
+
|
51 |
+
plan_agent = PlanAgent(name="🙋🏻♂️ Team Agent Demo", conf=agent_config)
|
52 |
+
|
53 |
+
search_agent = Agent(
|
54 |
+
conf=agent_config,
|
55 |
+
name="🔎 Search Agent",
|
56 |
+
system_prompt=search_sys_prompt,
|
57 |
+
agent_prompt=search_agent_prompt,
|
58 |
+
mcp_config=mcp_config,
|
59 |
+
mcp_servers=mcp_config.get("mcpServers", {}).keys(),
|
60 |
+
)
|
61 |
+
|
62 |
+
summary_agent = Agent(
|
63 |
+
conf=agent_config,
|
64 |
+
name="💬 Summary Agent",
|
65 |
+
system_prompt=summary_sys_prompt,
|
66 |
+
agent_prompt=summary_agent_prompt,
|
67 |
+
)
|
68 |
+
|
69 |
+
output_agent = Agent(
|
70 |
+
conf=agent_config,
|
71 |
+
name="💬 Output Agent",
|
72 |
+
system_prompt=output_sys_prompt,
|
73 |
+
agent_prompt=output_agent_prompt,
|
74 |
+
mcp_config=mcp_config,
|
75 |
+
mcp_servers=mcp_config.get("mcpServers", {}).keys(),
|
76 |
+
)
|
77 |
+
|
78 |
+
# default is sequence swarm mode
|
79 |
+
swarm = Swarm(
|
80 |
+
plan_agent, search_agent, summary_agent, output_agent, max_steps=10
|
81 |
+
)
|
82 |
+
|
83 |
+
if prompt is None and request is not None:
|
84 |
+
prompt = request.messages[-1].content
|
85 |
+
|
86 |
+
task = Task(
|
87 |
+
input=prompt,
|
88 |
+
swarm=swarm,
|
89 |
+
conf=TaskConfig(max_steps=20),
|
90 |
+
)
|
91 |
+
|
92 |
+
async for output in Runners.streamed_run_task(task).stream_events():
|
93 |
+
logger.info(f"Agent Ouput: {output}")
|
94 |
+
yield output
|
examples/cmd/agent_deploy/team_agent/mcp.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mcpServers": {
|
3 |
+
"google-pse-search": {
|
4 |
+
"command": "npx",
|
5 |
+
"args": [
|
6 |
+
"-y",
|
7 |
+
"@adenot/mcp-google-search"
|
8 |
+
],
|
9 |
+
"env": {
|
10 |
+
"GOOGLE_API_KEY": "${GOOGLE_API_KEY}",
|
11 |
+
"GOOGLE_SEARCH_ENGINE_ID": "${GOOGLE_SEARCH_ENGINE_ID}"
|
12 |
+
}
|
13 |
+
},
|
14 |
+
"fetch": {
|
15 |
+
"command": "uvx",
|
16 |
+
"args": [
|
17 |
+
"-i",
|
18 |
+
"https://mirrors.aliyun.com/pypi/simple/",
|
19 |
+
"mcp-server-fetch",
|
20 |
+
"--ignore-robots-txt"
|
21 |
+
]
|
22 |
+
},
|
23 |
+
"time": {
|
24 |
+
"command": "uvx",
|
25 |
+
"args": [
|
26 |
+
"mcp-server-time",
|
27 |
+
"--local-timezone",
|
28 |
+
"Asia/Shanghai"
|
29 |
+
]
|
30 |
+
}
|
31 |
+
}
|
32 |
+
}
|
examples/cmd/agent_deploy/team_agent/prompt.py
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
search_sys_prompt = "YOU MUST SAY: 'Search Agent System Prompt'"
|
2 |
+
|
3 |
+
search_agent_prompt = "YOU MUST SAY: 'Search Agent Prompt'"
|
4 |
+
|
5 |
+
summary_sys_prompt = "YOU MUST SAY: 'Summary Agent System Prompt'"
|
6 |
+
|
7 |
+
summary_agent_prompt = "YOU MUST SAY: 'Summary Agent Prompt'"
|
8 |
+
|
9 |
+
|
10 |
+
output_sys_prompt = "YOU MUST SAY: 'Output Agent System Prompt'"
|
11 |
+
|
12 |
+
|
13 |
+
output_agent_prompt = "YOU MUST SAY: 'Output Agent Prompt'"
|
examples/cmd/agent_deploy/team_agent/requirements.txt
ADDED
File without changes
|