8e3a1d193f
* Move tools to agents * Move agents to dedicate place * Remove subclassing BaseAgent from BaseTool
67 lines
2.3 KiB
Python
67 lines
2.3 KiB
Python
from typing import Any, List, Optional, Union
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from kotaemon.base import BaseComponent
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from kotaemon.llms import PromptTemplate
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from ..base import BaseLLM
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from ..output.base import BaseScratchPad
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from .prompt import few_shot_solver_prompt, zero_shot_solver_prompt
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class Solver(BaseComponent):
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model: BaseLLM
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prompt_template: Optional[PromptTemplate] = None
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examples: Optional[Union[str, List[str]]] = None
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def _compose_fewshot_prompt(self) -> str:
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if self.examples is None:
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return ""
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if isinstance(self.examples, str):
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return self.examples
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else:
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return "\n\n".join([e.strip("\n") for e in self.examples])
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def _compose_prompt(self, instruction, plan_evidence) -> str:
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"""
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Compose the prompt from template, plan&evidence, examples and instruction.
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"""
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fewshot = self._compose_fewshot_prompt()
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if self.prompt_template is not None:
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if "fewshot" in self.prompt_template.placeholders:
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return self.prompt_template.populate(
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plan_evidence=plan_evidence, fewshot=fewshot, task=instruction
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)
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else:
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return self.prompt_template.populate(
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plan_evidence=plan_evidence, task=instruction
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)
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else:
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if self.examples is not None:
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return few_shot_solver_prompt.populate(
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plan_evidence=plan_evidence, fewshot=fewshot, task=instruction
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)
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else:
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return zero_shot_solver_prompt.populate(
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plan_evidence=plan_evidence, task=instruction
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)
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def run(
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self,
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instruction: str,
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plan_evidence: str,
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output: BaseScratchPad = BaseScratchPad(),
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) -> Any:
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response = None
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output.info("Running Solver")
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output.debug(f"Instruction: {instruction}")
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output.debug(f"Plan Evidence: {plan_evidence}")
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prompt = self._compose_prompt(instruction, plan_evidence)
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output.debug(f"Prompt: {prompt}")
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try:
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response = self.model(prompt)
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output.info("Solver run successful.")
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except ValueError:
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output.error("Solver failed to retrieve response from LLM")
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return response
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