69a673e6c6
Chat 访谈 - 新增 persona 系统（default / warm_listener / curious_guide）与 background_voice 语气层 - 回复长度由 compute_reply_plan 统一决策（brief / standard / expanded），融合信息密度启发式 - 输入净稿（input_normalize）：编排层可选 rules/llm 归一用户口语后再喂模型与记忆检索 - 记忆证据注入：按用户话检索 memory evidence 并注入 prompt Memoir 回忆录 - 口述归一（oral_normalize）：segment 原文保留，story 管线取派生净稿作叙事输入 - segment 入队批次门闸：累计字数 + 最长等待秒数，减少零碎提交 - fidelity_check / prompts / narrative_agent 微调 - Alembic 0005：清理跨章节 story 外键 Infra - Dockerfile 加入 ffmpeg - pyproject.toml 新增依赖并同步 uv.lock - .env.example / .env.production 补全新配置项 Tests - 新增 test_background_voice、test_chat_input_normalize、test_experience_regressions - 扩展 test_interview_prompts、test_interview_reply_length、test_story_route_oral_invariant Made-with: Cursor
34 lines
997 B
Python
34 lines
997 B
Python
"""回忆录模块：MemoirOrchestrator、各 Specialist Agent。"""
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from app.agents.memoir.classification_agent import (
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ChapterClassifyResult,
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ClassificationAgent,
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)
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from app.agents.memoir.extraction_agent import ExtractionAgent, ExtractionResult
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from app.agents.memoir.fidelity_check_agent import FidelityCheckAgent
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from app.agents.memoir.narrative_agent import NarrativeAgent
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from app.agents.memoir.orchestrator import MemoirOrchestrator, PreparedMemoirBatches
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from app.agents.memoir.story_route_agent import (
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StoryBatchPlan,
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StoryBatchPlanUnit,
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StoryRouteAgent,
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StoryRouteDecision,
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validate_story_batch_plan,
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)
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__all__ = [
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"ChapterClassifyResult",
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"MemoirOrchestrator",
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"PreparedMemoirBatches",
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"StoryRouteAgent",
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"StoryRouteDecision",
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"StoryBatchPlan",
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"StoryBatchPlanUnit",
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"validate_story_batch_plan",
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"ExtractionAgent",
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"ExtractionResult",
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"ClassificationAgent",
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"NarrativeAgent",
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"FidelityCheckAgent",
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]
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