mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-27 23:47:46 +00:00
feat: Dynamic scenario based on task (#392)
* OAI api * more comments * llm utils * RD-Framework for dynamic scen * remove useless code * auto lint * fix dynamic scennario * Add parameter * auto lint * remove abstractmethod * fix lint
This commit is contained in:
@@ -89,7 +89,11 @@ class FactorCodeEvaluator(FactorEvaluator):
|
||||
system_prompt = (
|
||||
Environment(undefined=StrictUndefined)
|
||||
.from_string(evaluate_prompts["evaluator_code_feedback_v1_system"])
|
||||
.render(scenario=self.scen.get_scenario_all_desc() if self.scen is not None else "No scenario description.")
|
||||
.render(
|
||||
scenario=self.scen.get_scenario_all_desc(target_task)
|
||||
if self.scen is not None
|
||||
else "No scenario description."
|
||||
)
|
||||
)
|
||||
|
||||
execution_feedback_to_render = execution_feedback
|
||||
@@ -167,7 +171,11 @@ class FactorOutputFormatEvaluator(FactorEvaluator):
|
||||
.from_string(
|
||||
evaluate_prompts["evaluator_output_format_system"],
|
||||
)
|
||||
.render(scenario=self.scen.get_scenario_all_desc() if self.scen is not None else "No scenario description.")
|
||||
.render(
|
||||
scenario=self.scen.get_scenario_all_desc(implementation.target_task)
|
||||
if self.scen is not None
|
||||
else "No scenario description."
|
||||
)
|
||||
)
|
||||
|
||||
# TODO: with retry_context(retry_n=3, except_list=[KeyError]):
|
||||
@@ -473,7 +481,11 @@ class FactorFinalDecisionEvaluator(Evaluator):
|
||||
system_prompt = (
|
||||
Environment(undefined=StrictUndefined)
|
||||
.from_string(evaluate_prompts["evaluator_final_decision_v1_system"])
|
||||
.render(scenario=self.scen.get_scenario_all_desc() if self.scen is not None else "No scenario description.")
|
||||
.render(
|
||||
scenario=self.scen.get_scenario_all_desc(target_task)
|
||||
if self.scen is not None
|
||||
else "No scenario description."
|
||||
)
|
||||
)
|
||||
execution_feedback_to_render = execution_feedback
|
||||
|
||||
|
||||
@@ -133,7 +133,7 @@ class FactorEvolvingStrategy(MultiProcessEvolvingStrategy):
|
||||
implement_prompts["evolving_strategy_factor_implementation_v1_system"],
|
||||
)
|
||||
.render(
|
||||
scenario=self.scen.get_scenario_all_desc(),
|
||||
scenario=self.scen.get_scenario_all_desc(target_task),
|
||||
queried_former_failed_knowledge=queried_former_failed_knowledge_to_render,
|
||||
)
|
||||
)
|
||||
@@ -226,7 +226,7 @@ class FactorEvolvingStrategyWithGraph(MultiProcessEvolvingStrategy):
|
||||
implement_prompts["evolving_strategy_factor_implementation_v1_system"],
|
||||
)
|
||||
.render(
|
||||
scenario=self.scen.get_scenario_all_desc(),
|
||||
scenario=self.scen.get_scenario_all_desc(target_task),
|
||||
queried_former_failed_knowledge=queried_former_failed_knowledge_to_render,
|
||||
)
|
||||
)
|
||||
@@ -250,7 +250,7 @@ class FactorEvolvingStrategyWithGraph(MultiProcessEvolvingStrategy):
|
||||
Environment(undefined=StrictUndefined)
|
||||
.from_string(implement_prompts["evolving_strategy_error_summary_v2_system"])
|
||||
.render(
|
||||
scenario=self.scen.get_scenario_all_desc(),
|
||||
scenario=self.scen.get_scenario_all_desc(target_task),
|
||||
factor_information_str=target_factor_task_information,
|
||||
code_and_feedback=queried_former_failed_knowledge_to_render[
|
||||
-1
|
||||
|
||||
Reference in New Issue
Block a user