Files
AI_NovelGenerator/consistency_checker.py
T

73 lines
2.0 KiB
Python
Raw Normal View History

# consistency_checker.py
# -*- coding: utf-8 -*-
2025-02-09 23:34:07 +08:00
from llm_adapters import create_llm_adapter
2025-01-29 20:33:20 +08:00
2025-02-01 18:49:52 +08:00
# ============== 增加对“剧情要点/未解决冲突”进行检查的可选引导 ==============
2025-01-29 20:33:20 +08:00
CONSISTENCY_PROMPT = """\
请检查下面的小说设定与最新章节是否存在明显冲突或不一致之处,如有请列出:
- 小说设定:
{novel_setting}
- 角色状态(可能包含重要信息):
{character_state}
- 全局摘要:
{global_summary}
2025-02-01 18:49:52 +08:00
- 已记录的未解决冲突或剧情要点:
{plot_arcs} # 若为空可能不输出
2025-01-29 20:33:20 +08:00
- 最新章节内容:
{chapter_text}
2025-02-01 18:49:52 +08:00
如果存在冲突或不一致,请说明;如果在未解决冲突中有被忽略或需要推进的地方,也请提及;否则请返回“无明显冲突”。
2025-01-29 20:33:20 +08:00
"""
def check_consistency(
novel_setting: str,
character_state: str,
global_summary: str,
chapter_text: str,
api_key: str,
base_url: str,
model_name: str,
2025-02-01 18:49:52 +08:00
temperature: float = 0.3,
2025-02-09 23:34:07 +08:00
plot_arcs: str = "",
interface_format: str = "OpenAI",
max_tokens: int = 2048,
timeout: int = 600
2025-01-29 20:33:20 +08:00
) -> str:
"""
调用模型做简单的一致性检查。可扩展更多提示或校验规则。
2025-02-01 18:49:52 +08:00
新增: 会额外检查对“未解决冲突或剧情要点”(plot_arcs)的衔接情况。
2025-01-29 20:33:20 +08:00
"""
prompt = CONSISTENCY_PROMPT.format(
novel_setting=novel_setting,
character_state=character_state,
global_summary=global_summary,
2025-02-01 18:49:52 +08:00
plot_arcs=plot_arcs,
2025-01-29 20:33:20 +08:00
chapter_text=chapter_text
)
2025-02-09 23:34:07 +08:00
llm_adapter = create_llm_adapter(
interface_format=interface_format,
2025-01-29 20:33:20 +08:00
base_url=base_url,
2025-02-09 23:34:07 +08:00
model_name=model_name,
api_key=api_key,
temperature=temperature,
max_tokens=max_tokens,
timeout=timeout
2025-01-29 20:33:20 +08:00
)
2025-02-09 23:34:07 +08:00
# 调试日志
print("\n[ConsistencyChecker] Prompt >>>", prompt)
2025-02-09 23:34:07 +08:00
response = llm_adapter.invoke(prompt)
2025-01-29 20:33:20 +08:00
if not response:
return "审校Agent无回复"
2025-02-09 23:34:07 +08:00
# 调试日志
2025-02-09 23:34:07 +08:00
print("[ConsistencyChecker] Response <<<", response)
2025-02-09 23:34:07 +08:00
return response