Merge pull request #910 from garylin2099/v0.7-release

v0.7.2: fixed human interact and execute code bugs

examples/mi/machine_learning.py

@@ -1,13 +1,13 @@
-import asyncio
+import fire
 
 from metagpt.roles.mi.interpreter import Interpreter
 
 
-async def main(requirement: str):
-    mi = Interpreter(auto_run=True, use_tools=False)
+async def main(auto_run: bool = True):
+    requirement = "Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy."
+    mi = Interpreter(auto_run=auto_run)
     await mi.run(requirement)
 
 
 if __name__ == "__main__":
-    requirement = "Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy."
-    asyncio.run(main(requirement))
+    fire.Fire(main)

metagpt/actions/mi/execute_nb_code.py

@@ -182,7 +182,7 @@ class ExecuteNbCode(Action):
             outputs = self.parse_outputs(self.nb.cells[-1].outputs)
             outputs, success = truncate(remove_escape_and_color_codes(outputs), is_success=success)
 
-            if "!pip" in outputs:
+            if "!pip" in code:
                 success = False
 
             return outputs, success

metagpt/strategy/planner.py

@@ -122,7 +122,7 @@ class Planner(BaseModel):
         )  # "confirm, ... (more content, such as changing downstream tasks)"
         if confirmed_and_more:
             self.working_memory.add(Message(content=review, role="user", cause_by=AskReview))
-            await self.update_plan(review)
+            await self.update_plan()
 
     def get_useful_memories(self, task_exclude_field=None) -> list[Message]:
         """find useful memories only to reduce context length and improve performance"""

setup.py

@@ -57,7 +57,7 @@ extras_require["dev"] = (["pylint~=3.0.3", "black~=23.3.0", "isort~=5.12.0", "pr
 
 setup(
     name="metagpt",
-    version="0.7.1",
+    version="0.7.2",
     description="The Multi-Agent Framework",
     long_description=long_description,
     long_description_content_type="text/markdown",