Method generate

nanoresearch/evolution/ram.py:234–272

Generate a reflection-augmentation response. Parameters ---------- task_type : str One of ``"method_gen"``, ``"code_impl"``, ``"paper_writing"``. context : str Current task context (topic, plan, etc.). feedback : str Downst

(
        self,
        task_type: str,
        context: str,
        feedback: str = "",
        retrieved_skills: str = "",
        retrieved_memories: str = "",
    )

        ]

    def generate(
        self,
        task_type: str,
        context: str,
        feedback: str = "",
        retrieved_skills: str = "",
        retrieved_memories: str = "",
    ) -> RAMOutput:
        """Generate a reflection-augmentation response.

        Parameters
        ----------
        task_type : str
            One of ``"method_gen"``, ``"code_impl"``, ``"paper_writing"``.
        context : str
            Current task context (topic, plan, etc.).
        feedback : str
            Downstream feedback from the previous attempt.
        retrieved_skills : str
            Pre-formatted skill context from the Skill Store.
        retrieved_memories : str
            Pre-formatted memory context from the Memory Store.

        Returns
        -------
        RAMOutput
            Parsed structured output. Empty if disabled.
        """
        if not self.enabled:
            return RAMOutput()

        messages = self._build_messages(
            task_type, context, feedback, retrieved_skills, retrieved_memories
        )

        if self.backend == RAMBackend.VLLM:
            return self._generate_vllm(messages)
        else:
            return self._generate_hf(messages)

    def _generate_hf(self, messages: list[dict[str, str]]) -> RAMOutput:
        """Generate using HuggingFace Transformers."""