Merge branch 'main' into feat_basemodel

examples/agent_creator.py

@@ -64,7 +64,7 @@ class AgentCreator(Role):
         self._init_actions([CreateAgent])
 
     async def _act(self) -> Message:
-        logger.info(f"{self._setting}: ready to {self._rc.todo}")
+        logger.info(f"{self._setting}: to do {self._rc.todo}({self._rc.todo.name})")
         todo = self._rc.todo
         msg = self._rc.memory.get()[-1]
 

examples/build_customized_agent.py

@@ -60,7 +60,7 @@ class SimpleCoder(Role):
         self._init_actions([SimpleWriteCode])
 
     async def _act(self) -> Message:
-        logger.info(f"{self._setting}: ready to {self._rc.todo}")
+        logger.info(f"{self._setting}: to do {self._rc.todo}({self._rc.todo.name})")
         todo = self._rc.todo  # todo will be SimpleWriteCode()
 
         msg = self.get_memories(k=1)[0]  # find the most recent messages
@@ -80,7 +80,7 @@ class RunnableCoder(Role):
         self._set_react_mode(react_mode=RoleReactMode.BY_ORDER.value)
 
     async def _act(self) -> Message:
-        logger.info(f"{self._setting}: ready to {self._rc.todo}")
+        logger.info(f"{self._setting}: to do {self._rc.todo}({self._rc.todo.name})")
         # By choosing the Action by order under the hood
         # todo will be first SimpleWriteCode() then SimpleRunCode()
         todo = self._rc.todo

examples/build_customized_multi_agents.py

@@ -80,7 +80,7 @@ class SimpleTester(Role):
         self._watch([SimpleWriteCode, SimpleWriteReview])  # feel free to try this too
 
     async def _act(self) -> Message:
-        logger.info(f"{self._setting}: ready to {self._rc.todo}")
+        logger.info(f"{self._setting}: to do {self._rc.todo}({self._rc.todo.name})")
         todo = self._rc.todo
 
         # context = self.get_memories(k=1)[0].content # use the most recent memory as context

examples/debate.py

@@ -63,7 +63,7 @@ class Debator(Role):
         return len(self._rc.news)
 
     async def _act(self) -> Message:
-        logger.info(f"{self._setting}: ready to {self._rc.todo}")
+        logger.info(f"{self._setting}: to do {self._rc.todo}({self._rc.todo.name})")
         todo = self._rc.todo  # An instance of SpeakAloud
 
         memories = self.get_memories()

examples/debate_simple.py

@@ -0,0 +1,22 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+@Time    : 2023/12/22
+@Author  : alexanderwu
+@File    : debate_simple.py
+"""
+import asyncio
+
+from metagpt.actions import Action, UserRequirement
+from metagpt.environment import Environment
+from metagpt.roles import Role
+from metagpt.team import Team
+
+action1 = Action(name="BidenSay", instruction="发表政见，充满激情的反驳特朗普最新消息，尽最大努力获得选票")
+action2 = Action(name="TrumpSay", instruction="发表政见，充满激情的反驳拜登最新消息，尽最大努力获得选票，MAGA！")
+biden = Role(name="拜登", profile="民主党候选人", goal="大选获胜", actions=[action1], watch=[action2, UserRequirement])
+trump = Role(name="特朗普", profile="共和党候选人", goal="大选获胜", actions=[action2], watch=[action1])
+env = Environment(desc="US election live broadcast")
+team = Team(investment=10.0, env=env, roles=[biden, trump])
+
+asyncio.run(team.run(idea="主题：气候变化，用中文辩论", n_round=5))

examples/search_kb.py

@@ -5,12 +5,13 @@
 """
 import asyncio
 
-from metagpt.actions import Action
+from langchain.embeddings import OpenAIEmbeddings
+
+from metagpt.config import CONFIG
 from metagpt.const import DATA_PATH
 from metagpt.document_store import FaissStore
 from metagpt.logs import logger
 from metagpt.roles import Sales
-from metagpt.schema import Message
 
 """ example.json, e.g.
 [
@@ -26,14 +27,15 @@ from metagpt.schema import Message
 """
 
 
+def get_store():
+    embedding = OpenAIEmbeddings(openai_api_key=CONFIG.openai_api_key, openai_api_base=CONFIG.openai_base_url)
+    return FaissStore(DATA_PATH / "example.json", embedding=embedding)
+
+
 async def search():
-    store = FaissStore(DATA_PATH / "example.json")
-    role = Sales(profile="Sales", store=store)
-    role._watch({Action})
-    queries = [
-        Message(content="Which facial cleanser is good for oily skin?", cause_by=Action),
-        Message(content="Is L'Oreal good to use?", cause_by=Action),
-    ]
+    role = Sales(profile="Sales", store=get_store())
+    queries = ["Which facial cleanser is good for oily skin?", "Is L'Oreal good to use?"]
+
     for query in queries:
         logger.info(f"User: {query}")
         result = await role.run(query)