use llm cache to make exp_pool

examples/exp_pool/decorator.py

@@ -7,16 +7,15 @@ from metagpt.exp_pool import exp_cache, exp_manager
 from metagpt.logs import logger
 
 
-@exp_cache(pass_exps_to_func=True)
-async def produce(req, exps=None):
-    logger.info(f"Previous experiences: {exps}")
+@exp_cache()
+async def produce(req=""):
     return f"{req} {uuid.uuid4().hex}"
 
 
 async def main():
     req = "Water"
 
-    resp = await produce(req)
+    resp = await produce(req=req)
     logger.info(f"The resp of `produce{req}` is: {resp}")
 
     exps = await exp_manager.query_exps(req)

examples/write_novel.py

@@ -50,9 +50,9 @@ async def generate_novel():
         "Fill the empty nodes with your own ideas. Be creative! Use your own words!"
         "I will tip you $100,000 if you write a good novel."
     )
-    novel_node = await ActionNode.from_pydantic(Novel).fill(context=instruction, llm=LLM())
+    novel_node = await ActionNode.from_pydantic(Novel).fill(req=instruction, llm=LLM())
     chap_node = await ActionNode.from_pydantic(Chapters).fill(
-        context=f"### instruction\n{instruction}\n### novel\n{novel_node.content}", llm=LLM()
+        req=f"### instruction\n{instruction}\n### novel\n{novel_node.content}", llm=LLM()
     )
     print(chap_node.instruct_content)