feat: merge geekan:main

examples/agent_creator.py

@@ -49,6 +49,7 @@ class CreateAgent(Action):
         pattern = r"```python(.*)```"
         match = re.search(pattern, rsp, re.DOTALL)
         code_text = match.group(1) if match else ""
+        CONFIG.workspace_path.mkdir(parents=True, exist_ok=True)
         with open(CONFIG.workspace_path / "agent_created_agent.py", "w") as f:
             f.write(code_text)
         return code_text

examples/search_kb.py

@@ -5,17 +5,35 @@
 """
 import asyncio
 
+from metagpt.actions import Action
 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.
+[
+    {
+        "source": "Which facial cleanser is good for oily skin?",
+        "output": "ABC cleanser is preferred by many with oily skin."
+    },
+    {
+        "source": "Is L'Oreal good to use?",
+        "output": "L'Oreal is a popular brand with many positive reviews."
+    }
+]
+"""
 
 
 async def search():
     store = FaissStore(DATA_PATH / "example.json")
     role = Sales(profile="Sales", store=store)
-
-    queries = ["Which facial cleanser is good for oily skin?", "Is L'Oreal good to use?"]
+    role._watch({Action})
+    queries = [
+        Message("Which facial cleanser is good for oily skin?", cause_by=Action),
+        Message("Is L'Oreal good to use?", cause_by=Action),
+    ]
     for query in queries:
         logger.info(f"User: {query}")
         result = await role.run(query)