Jiang Feng
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
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# SPDX-License-Identifier: MIT
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import logging
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from langchain.schema import HumanMessage, SystemMessage
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from src.config.agents import AGENT_LLM_MAP
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from src.llms.llm import get_llm_by_type
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from src.prose.graph.state import ProseState
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logger = logging.getLogger(__name__)
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prompt = """
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You are an AI writing assistant that fixes grammar and spelling errors in existing text.
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- Limit your response to no more than 200 characters, but make sure to construct complete sentences.
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- Use Markdown formatting when appropriate.
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- If the text is already correct, just return the original text.
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"""
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def prose_fix_node(state: ProseState):
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logger.info("Generating prose fix content...")
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model = get_llm_by_type(AGENT_LLM_MAP["prose_writer"])
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prose_content = model.invoke(
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[
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SystemMessage(content=prompt),
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HumanMessage(content=f"The existing text is: {state['content']}"),
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],
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)
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logger.info(f"prose_content: {prose_content}")
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return {"output": prose_content.content}
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