| 9 | PROMPT = open("src/agents/answer/prompt.jinja2", "r").read().strip() |
| 10 | |
| 11 | class Answer: |
| 12 | def __init__(self, base_model: str): |
| 13 | config = Config() |
| 14 | self.project_dir = config.get_projects_dir() |
| 15 | |
| 16 | self.llm = LLM(model_id=base_model) |
| 17 | |
| 18 | def render( |
| 19 | self, conversation: str, code_markdown: str |
| 20 | ) -> str: |
| 21 | env = Environment(loader=BaseLoader()) |
| 22 | template = env.from_string(PROMPT) |
| 23 | return template.render( |
| 24 | conversation=conversation, |
| 25 | code_markdown=code_markdown |
| 26 | ) |
| 27 | |
| 28 | @validate_responses |
| 29 | def validate_response(self, response: str): |
| 30 | if "response" not in response: |
| 31 | return False |
| 32 | else: |
| 33 | return response["response"] |
| 34 | |
| 35 | @retry_wrapper |
| 36 | def execute(self, conversation: list, code_markdown: str, project_name: str) -> str: |
| 37 | prompt = self.render(conversation, code_markdown) |
| 38 | response = self.llm.inference(prompt, project_name) |
| 39 | |
| 40 | valid_response = self.validate_response(response) |
| 41 | |
| 42 | return valid_response |