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| | import logging |
| | from abc import ABC |
| | from api.db import LLMType |
| | from api.db.services.llm_service import LLMBundle |
| | from agent.component import GenerateParam, Generate |
| | from rag.utils import num_tokens_from_string, encoder |
| |
|
| |
|
| | class RelevantParam(GenerateParam): |
| |
|
| | """ |
| | Define the Relevant component parameters. |
| | """ |
| | def __init__(self): |
| | super().__init__() |
| | self.prompt = "" |
| | self.yes = "" |
| | self.no = "" |
| |
|
| | def check(self): |
| | super().check() |
| | self.check_empty(self.yes, "[Relevant] 'Yes'") |
| | self.check_empty(self.no, "[Relevant] 'No'") |
| |
|
| | def get_prompt(self): |
| | self.prompt = """ |
| | You are a grader assessing relevance of a retrieved document to a user question. |
| | It does not need to be a stringent test. The goal is to filter out erroneous retrievals. |
| | If the document contains keyword(s) or semantic meaning related to the user question, grade it as relevant. |
| | Give a binary score 'yes' or 'no' score to indicate whether the document is relevant to the question. |
| | No other words needed except 'yes' or 'no'. |
| | """ |
| | return self.prompt |
| |
|
| |
|
| | class Relevant(Generate, ABC): |
| | component_name = "Relevant" |
| |
|
| | def _run(self, history, **kwargs): |
| | q = "" |
| | for r, c in self._canvas.history[::-1]: |
| | if r == "user": |
| | q = c |
| | break |
| | ans = self.get_input() |
| | ans = " - ".join(ans["content"]) if "content" in ans else "" |
| | if not ans: |
| | return Relevant.be_output(self._param.no) |
| | ans = "Documents: \n" + ans |
| | ans = f"Question: {q}\n" + ans |
| | chat_mdl = LLMBundle(self._canvas.get_tenant_id(), LLMType.CHAT, self._param.llm_id) |
| |
|
| | if num_tokens_from_string(ans) >= chat_mdl.max_length - 4: |
| | ans = encoder.decode(encoder.encode(ans)[:chat_mdl.max_length - 4]) |
| |
|
| | ans = chat_mdl.chat(self._param.get_prompt(), [{"role": "user", "content": ans}], |
| | self._param.gen_conf()) |
| |
|
| | logging.debug(ans) |
| | if ans.lower().find("yes") >= 0: |
| | return Relevant.be_output(self._param.yes) |
| | if ans.lower().find("no") >= 0: |
| | return Relevant.be_output(self._param.no) |
| | assert False, f"Relevant component got: {ans}" |
| |
|
| | def debug(self, **kwargs): |
| | return self._run([], **kwargs) |
| |
|
| |
|
