feat: 引入deepseek结构化输出
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@@ -52,7 +52,11 @@ class ExtractionAgent:
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for k, v in (stage_slots or {}).items()
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},
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)
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response = llm.invoke(prompt)
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json_llm = llm.bind(
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model_kwargs={"response_format": {"type": "json_object"}},
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max_tokens=1024,
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)
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response = json_llm.invoke(prompt)
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parsed = json.loads(extract_json_payload(response.content))
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detected_stage = parsed.get("detected_stage", detected_stage)
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raw_slots = parsed.get("slots", {}) or {}
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@@ -15,6 +15,7 @@ from app.agents.memoir.prompts import (
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get_text_rewrite_prompt,
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inject_image_placeholder_template,
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)
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from app.features.memoir.memoir_images.json_payload import extract_json_payload
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logger = get_logger(__name__)
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@@ -64,17 +65,14 @@ class MemoryAgent:
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prompt = get_text_rewrite_prompt(
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segments_text, chapter_category, existing_content or ""
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)
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response = await self.llm.ainvoke(prompt)
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json_llm = self.llm.bind(
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model_kwargs={"response_format": {"type": "json_object"}},
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max_tokens=4096,
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)
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response = await json_llm.ainvoke(prompt)
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content = response.content if hasattr(response, "content") else str(response)
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content = content.strip()
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if content.startswith("```json"):
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content = content[7:]
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if content.startswith("```"):
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content = content[3:]
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if content.endswith("```"):
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content = content[:-3]
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content = content.strip()
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result = json.loads(content)
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result = json.loads(extract_json_payload(content))
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result["content"] = inject_image_placeholder_template(
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result.get("content") or ""
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)
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@@ -69,7 +69,11 @@ class NarrativeAgent:
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user_profile=user_profile,
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birth_year=birth_year,
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)
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response = llm.invoke(prompt)
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json_llm = llm.bind(
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model_kwargs={"response_format": {"type": "json_object"}},
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max_tokens=4096,
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)
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response = json_llm.invoke(prompt)
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return (response.content or "").strip()
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except Exception as e:
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logger.warning("NarrativeAgent 生成叙事失败: %s", e)
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@@ -13,6 +13,7 @@ from app.core.logging import get_logger
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from app.core.task_tracker import task_tracker
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from app.agents.state_schema import MemoirStateSchema
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from app.features.memoir.memoir_images.json_payload import extract_json_payload
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from app.agents.memoir.prompts import (
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get_creative_title_prompt,
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get_narrative_json_prompt,
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@@ -82,9 +83,13 @@ class ContentAnalyzer:
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current_stage=current_state.current_stage,
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stage_slots=current_state.slots.get(detected_stage, {}),
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)
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response = await self.llm.ainvoke(prompt)
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json_llm = self.llm.bind(
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model_kwargs={"response_format": {"type": "json_object"}},
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max_tokens=1024,
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)
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response = await json_llm.ainvoke(prompt)
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content = response.content.strip()
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parsed = json.loads(content)
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parsed = json.loads(extract_json_payload(content))
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detected_stage = parsed.get("detected_stage", detected_stage)
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extracted_slots = parsed.get("slots", {}) or {}
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emotion = parsed.get("emotion", emotion)
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@@ -147,7 +152,11 @@ class MemoirGenerator:
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new_content=new_content,
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existing_content=existing_content,
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)
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response = await self.llm.ainvoke(prompt)
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json_llm = self.llm.bind(
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model_kwargs={"response_format": {"type": "json_object"}},
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max_tokens=4096,
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)
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response = await json_llm.ainvoke(prompt)
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return response.content.strip()
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except Exception as e:
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logger.error("生成叙事失败: %s", e)
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