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change context_fill to xml_fill

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didi 2024-10-22 09:34:02 +08:00
parent 35acb98d7a
commit 828d187681
12 changed files with 23 additions and 22 deletions
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12
examples/aflow/scripts/operator.py
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@ -25,7 +25,7 @@ from examples.aflow.scripts.operator_an import (
ReviseOp,
)
from examples.aflow.scripts.prompt import (
from examples.aflow.scripts.prompts.prompt import (
FORMAT_PROMPT,
ANSWER_GENERATION_PROMPT,
SC_ENSEMBLE_PROMPT,
@ -73,7 +73,7 @@ class AnswerGenerate(Operator):
async def __call__(self, input: str, mode: str = None) -> Tuple[str, str]:
prompt = ANSWER_GENERATION_PROMPT.format(input=input)
response = await self._fill_node(AnswerGenerateOp, prompt, mode="context_fill")
response = await self._fill_node(AnswerGenerateOp, prompt, mode="xml_fill")
return response
class CustomCodeGenerate(Operator):
@ -105,7 +105,7 @@ class ScEnsemble(Operator):
solution_text += f"{chr(65 + index)}: \n{str(solution)}\n\n\n"
prompt = SC_ENSEMBLE_PROMPT.format(solutions=solution_text)
response = await self._fill_node(ScEnsembleOp, prompt, mode="context_fill")
response = await self._fill_node(ScEnsembleOp, prompt, mode="xml_fill")
answer = response.get("solution_letter", "")
answer = answer.strip().upper()
@ -295,7 +295,7 @@ class Review(Operator):
async def __call__(self, problem, solution, mode: str = None):
prompt = REVIEW_PROMPT.format(problem=problem, solution=solution)
response = await self._fill_node(ReviewOp, prompt, mode="context_fill")
response = await self._fill_node(ReviewOp, prompt, mode="xml_fill")
return response
class Revise(Operator):
@ -304,7 +304,7 @@ class Revise(Operator):
async def __call__(self, problem, solution, feedback, mode: str = None):
prompt = REVISE_PROMPT.format(problem=problem, solution=solution, feedback=feedback)
response = await self._fill_node(ReviseOp, prompt, mode="context_fill")
response = await self._fill_node(ReviseOp, prompt, mode="xml_fill")
return response
@ -337,7 +337,7 @@ class MdEnsemble(Operator):
solution_text += f"{chr(65 + index)}: \n{str(solution)}\n\n\n"
prompt = MD_ENSEMBLE_PROMPT.format(solutions=solution_text, question=problem)
response = await self._fill_node(MdEnsembleOp, prompt, mode="context_fill")
response = await self._fill_node(MdEnsembleOp, prompt, mode="xml_fill")
answer = response.get("solution_letter", "A")
answer = answer.strip().upper()

0
examples/aflow/scripts/optimized/DROP/workflows/result.json
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4
examples/aflow/scripts/optimized/DROP/workflows/template/operator.py
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@ -51,7 +51,7 @@ class AnswerGenerate(Operator):
async def __call__(self, input: str, mode: str = None) -> Tuple[str, str]:
prompt = ANSWER_GENERATION_PROMPT.format(input=input)
response = await self._fill_node(AnswerGenerateOp, prompt, mode="context_fill")
response = await self._fill_node(AnswerGenerateOp, prompt, mode="xml_fill")
return response
class ScEnsemble(Operator):
@ -73,7 +73,7 @@ class ScEnsemble(Operator):
solution_text += f"{chr(65 + index)}: \n{str(solution)}\n\n\n"
prompt = SC_ENSEMBLE_PROMPT.format(solutions=solution_text)
response = await self._fill_node(ScEnsembleOp, prompt, mode="context_fill")
response = await self._fill_node(ScEnsembleOp, prompt, mode="xml_fill")
answer = response.get("solution_letter", "")
answer = answer.strip().upper()

2
examples/aflow/scripts/optimized/GSM8K/workflows/template/operator.py
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@ -153,7 +153,7 @@ class ScEnsemble(Operator):
solution_text += f"{chr(65 + index)}: \n{str(solution)}\n\n\n"
prompt = SC_ENSEMBLE_PROMPT.format(solutions=solution_text)
response = await self._fill_node(ScEnsembleOp, prompt, mode="context_fill")
response = await self._fill_node(ScEnsembleOp, prompt, mode="xml_fill")
answer = response.get("solution_letter", "")
answer = answer.strip().upper()

4
examples/aflow/scripts/optimized/HotpotQA/workflows/template/operator.py
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@ -51,7 +51,7 @@ class AnswerGenerate(Operator):
async def __call__(self, input: str, mode: str = None) -> Tuple[str, str]:
prompt = ANSWER_GENERATION_PROMPT.format(input=input)
response = await self._fill_node(AnswerGenerateOp, prompt, mode="context_fill")
response = await self._fill_node(AnswerGenerateOp, prompt, mode="xml_fill")
return response
class ScEnsemble(Operator):
@ -73,7 +73,7 @@ class ScEnsemble(Operator):
solution_text += f"{chr(65 + index)}: \n{str(solution)}\n\n\n"
prompt = SC_ENSEMBLE_PROMPT.format(solutions=solution_text)
response = await self._fill_node(ScEnsembleOp, prompt, mode="context_fill")
response = await self._fill_node(ScEnsembleOp, prompt, mode="xml_fill")
answer = response.get("solution_letter", "")
answer = answer.strip().upper()

2
examples/aflow/scripts/optimized/HumanEval/workflows/template/operator.py
View file

@ -73,7 +73,7 @@ class ScEnsemble(Operator):
solution_text += f"{chr(65 + index)}: \n{str(solution)}\n\n\n"
prompt = SC_ENSEMBLE_PROMPT.format(solutions=solution_text)
response = await self._fill_node(ScEnsembleOp, prompt, mode="context_fill")
response = await self._fill_node(ScEnsembleOp, prompt, mode="xml_fill")
answer = response.get("solution_letter", "")
answer = answer.strip().upper()

2
examples/aflow/scripts/optimized/MATH/workflows/template/operator.py
View file

@ -153,7 +153,7 @@ class ScEnsemble(Operator):
solution_text += f"{chr(65 + index)}: \n{str(solution)}\n\n\n"
prompt = SC_ENSEMBLE_PROMPT.format(solutions=solution_text)
response = await self._fill_node(ScEnsembleOp, prompt, mode="context_fill")
response = await self._fill_node(ScEnsembleOp, prompt, mode="xml_fill")
answer = response.get("solution_letter", "")
answer = answer.strip().upper()

2
examples/aflow/scripts/optimized/MBPP/workflows/template/operator.py
View file

@ -73,7 +73,7 @@ class ScEnsemble(Operator):
solution_text += f"{chr(65 + index)}: \n{str(solution)}\n\n\n"
prompt = SC_ENSEMBLE_PROMPT.format(solutions=solution_text)
response = await self._fill_node(ScEnsembleOp, prompt, mode="context_fill")
response = await self._fill_node(ScEnsembleOp, prompt, mode="xml_fill")
answer = response.get("solution_letter", "")
answer = answer.strip().upper()

2
examples/aflow/scripts/optimizer.py
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@ -146,7 +146,7 @@ class Optimizer:
)
graph_optimize_node = await ActionNode.from_pydantic(GraphOptimize).fill(
context=graph_optimize_prompt, mode="context_fill", llm=self.optimize_llm
context=graph_optimize_prompt, mode="xml_fill", llm=self.optimize_llm
)
response = await self.graph_utils.get_graph_optimize_response(graph_optimize_node)

0
examples/aflow/scripts/prompt.py → examples/aflow/scripts/prompts/prompt.py
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