feat: fallback to acceptable results (#1129)

* refactor: add is_acceptable, fallback logic and generify evolving agent

* refine lint

* small

* lint

* lint

* lint

* feat: add is_acceptable to CoSTEERMultiFeedback

* feat: add in-memory workspace checkpoint and recovery

* feat: preserve symbolic links in workspace checkpoints and recovery

* lint

* lint

* feat: limit workspace checkpoint to files under 100KB

* feat: add workspace checkpoint size limit setting

* prompt

* lint
This commit is contained in:
you-n-g
2025-07-31 17:53:18 +08:00
committed by GitHub
parent 66659e9de2
commit 684e41f43a
12 changed files with 260 additions and 56 deletions
+27 -11
View File
@@ -1,4 +1,5 @@
import pickle
from copy import deepcopy
from datetime import datetime
from pathlib import Path
@@ -10,8 +11,7 @@ from rdagent.components.coder.CoSTEER.knowledge_management import (
CoSTEERRAGStrategyV2,
)
from rdagent.core.developer import Developer
from rdagent.core.evaluation import Evaluator
from rdagent.core.evolving_agent import EvolvingStrategy, RAGEvoAgent
from rdagent.core.evolving_agent import EvolvingStrategy, RAGEvaluator, RAGEvoAgent
from rdagent.core.exception import CoderError
from rdagent.core.experiment import Experiment
from rdagent.log import rdagent_logger as logger
@@ -22,15 +22,13 @@ class CoSTEER(Developer[Experiment]):
def __init__(
self,
settings: CoSTEERSettings,
eva: Evaluator,
eva: RAGEvaluator,
es: EvolvingStrategy,
*args,
evolving_version: int = 2,
max_seconds: int | None = None,
with_knowledge: bool = True,
with_feedback: bool = True,
knowledge_self_gen: bool = True,
filter_final_evo: bool = True,
max_loop: int | None = None,
**kwargs,
) -> None:
@@ -47,9 +45,7 @@ class CoSTEER(Developer[Experiment]):
)
self.with_knowledge = with_knowledge
self.with_feedback = with_feedback
self.knowledge_self_gen = knowledge_self_gen
self.filter_final_evo = filter_final_evo
self.evolving_strategy = es
self.evaluator = eva
self.evolving_version = evolving_version
@@ -71,25 +67,37 @@ class CoSTEER(Developer[Experiment]):
)
)
def _get_last_fb(self) -> CoSTEERMultiFeedback:
fb = self.evolve_agent.evolving_trace[-1].feedback
assert fb is not None, "feedback is None"
assert isinstance(fb, CoSTEERMultiFeedback), "feedback must be of type CoSTEERMultiFeedback"
return fb
def develop(self, exp: Experiment) -> Experiment:
# init intermediate items
evo_exp = EvolvingItem.from_experiment(exp)
self.evolve_agent = RAGEvoAgent(
self.evolve_agent = RAGEvoAgent[EvolvingItem](
max_loop=self.max_loop,
evolving_strategy=self.evolving_strategy,
rag=self.rag,
with_knowledge=self.with_knowledge,
with_feedback=self.with_feedback,
with_feedback=True,
knowledge_self_gen=self.knowledge_self_gen,
enable_filelock=self.settings.enable_filelock,
filelock_path=self.settings.filelock_path,
)
# Evolving the solution
start_datetime = datetime.now()
fallback_evo_exp = None
for evo_exp in self.evolve_agent.multistep_evolve(evo_exp, self.evaluator):
assert isinstance(evo_exp, Experiment) # multiple inheritance
if self._get_last_fb().is_acceptable():
fallback_evo_exp = deepcopy(evo_exp)
fallback_evo_exp.create_ws_ckp() # NOTE: creating checkpoints for saving files in the workspace to prevent inplace mutation.
logger.log_object(evo_exp.sub_workspace_list, tag="evolving code")
for sw in evo_exp.sub_workspace_list:
logger.info(f"evolving workspace: {sw}")
@@ -100,8 +108,16 @@ class CoSTEER(Developer[Experiment]):
logger.info("Global timer is timeout, stop evolving")
break
if self.with_feedback and self.filter_final_evo:
evo_exp = self._exp_postprocess_by_feedback(evo_exp, self.evolve_agent.evolving_trace[-1].feedback)
# if the final feedback is not finished(therefore acceptable), we will use the fallback solution.
try:
evo_exp = self._exp_postprocess_by_feedback(evo_exp, self._get_last_fb())
except CoderError:
if fallback_evo_exp is not None:
logger.info("Fallback to the fallback solution.")
evo_exp = fallback_evo_exp
evo_exp.recover_ws_ckp() # NOTE: recovering checkpoints for restoring files in the workspace to prevent inplace mutation.
else:
raise
exp.sub_workspace_list = evo_exp.sub_workspace_list
exp.experiment_workspace = evo_exp.experiment_workspace
@@ -181,6 +181,9 @@ class CoSTEERMultiFeedback(Feedback):
def __iter__(self):
return iter(self.feedback_list)
def is_acceptable(self) -> bool:
return all(feedback.is_acceptable() for feedback in self.feedback_list)
def finished(self) -> bool:
"""
In some implementations, tasks may fail multiple times, leading agents to skip the implementation.
@@ -25,7 +25,7 @@ class EvolvingItem(Experiment, EvolvableSubjects):
self.sub_gt_implementations = sub_gt_implementations
@classmethod
def from_experiment(cls, exp: Experiment) -> Experiment:
def from_experiment(cls, exp: Experiment) -> "EvolvingItem":
ei = cls(sub_tasks=exp.sub_tasks)
ei.based_experiments = exp.based_experiments
ei.experiment_workspace = exp.experiment_workspace