91048770fa
* add base Tool * minor update test_tool * update test dependency * update test dependency * Fix namespace conflict * update test * add base Agent Interface, add ReWoo Agent * minor update * update test * fix typo * remove unneeded print * update rewoo agent --------- Co-authored-by: trducng <trungduc1992@gmail.com>
67 lines
2.3 KiB
Python
67 lines
2.3 KiB
Python
from typing import Any, List, Optional, Union
|
|
|
|
from kotaemon.base import BaseComponent
|
|
from kotaemon.prompt.template import PromptTemplate
|
|
|
|
from ..base import BaseLLM
|
|
from ..output.base import BaseScratchPad
|
|
from .prompt import few_shot_solver_prompt, zero_shot_solver_prompt
|
|
|
|
|
|
class Solver(BaseComponent):
|
|
model: BaseLLM
|
|
prompt_template: Optional[PromptTemplate] = None
|
|
examples: Optional[Union[str, List[str]]] = None
|
|
|
|
def _compose_fewshot_prompt(self) -> str:
|
|
if self.examples is None:
|
|
return ""
|
|
if isinstance(self.examples, str):
|
|
return self.examples
|
|
else:
|
|
return "\n\n".join([e.strip("\n") for e in self.examples])
|
|
|
|
def _compose_prompt(self, instruction, plan_evidence) -> str:
|
|
"""
|
|
Compose the prompt from template, plan&evidence, examples and instruction.
|
|
"""
|
|
fewshot = self._compose_fewshot_prompt()
|
|
if self.prompt_template is not None:
|
|
if "fewshot" in self.prompt_template.placeholders:
|
|
return self.prompt_template.populate(
|
|
plan_evidence=plan_evidence, fewshot=fewshot, task=instruction
|
|
)
|
|
else:
|
|
return self.prompt_template.populate(
|
|
plan_evidence=plan_evidence, task=instruction
|
|
)
|
|
else:
|
|
if self.examples is not None:
|
|
return few_shot_solver_prompt.populate(
|
|
plan_evidence=plan_evidence, fewshot=fewshot, task=instruction
|
|
)
|
|
else:
|
|
return zero_shot_solver_prompt.populate(
|
|
plan_evidence=plan_evidence, task=instruction
|
|
)
|
|
|
|
def run(
|
|
self,
|
|
instruction: str,
|
|
plan_evidence: str,
|
|
output: BaseScratchPad = BaseScratchPad(),
|
|
) -> Any:
|
|
response = None
|
|
output.info("Running Solver")
|
|
output.debug(f"Instruction: {instruction}")
|
|
output.debug(f"Plan Evidence: {plan_evidence}")
|
|
prompt = self._compose_prompt(instruction, plan_evidence)
|
|
output.debug(f"Prompt: {prompt}")
|
|
try:
|
|
response = self.model(prompt)
|
|
output.info("Solver run successful.")
|
|
except ValueError:
|
|
output.error("Solver failed to retrieve response from LLM")
|
|
|
|
return response
|