添加agent优化简历接口

app/ai/job_agent/resume_optimizer.py

@@ -0,0 +1,55 @@
+"""求职助手 - 岗位简历优化 AI 引擎
+
+针对目标岗位并发优化简历（summary + 经历子表）。
+依赖：LLM 枚举、job_agent/prompts、parse_llm_json
+"""
+
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
+
+from app.ai.job_agent.prompts import RESUME_SUMMARY_OPTIMIZE_PROMPT, RESUME_EXPERIENCE_OPTIMIZE_PROMPT
+from app.ai.models import LLM
+from app.core.logger import log
+from app.tool.json_helper import parse_llm_json
+
+# ===== summary 优化 =====
+
+_summary_chain = (
+    ChatPromptTemplate.from_messages([("system", RESUME_SUMMARY_OPTIMIZE_PROMPT), ("human", "请开始优化。")])
+    | LLM.JIAYU_CLAUDE_SONNET_4_5.create(temperature=0.3)
+    | StrOutputParser()
+)
+
+
+async def optimize_summary(job_title: str, job_description: str, original_summary: str) -> str:
+    """针对岗位优化个人概述"""
+    try:
+        return await _summary_chain.ainvoke({
+            "job_title": job_title, "job_description": job_description or "",
+            "original_summary": original_summary or "暂无",
+        })
+    except Exception as e:
+        log.warning(f"岗位简历summary优化失败: {e}")
+        return original_summary
+
+
+# ===== 经历优化 =====
+
+_experience_chain = (
+    ChatPromptTemplate.from_messages([("system", RESUME_EXPERIENCE_OPTIMIZE_PROMPT), ("human", "请开始优化。")])
+    | LLM.JIAYU_CLAUDE_SONNET_4_5.create(temperature=0.3)
+    | StrOutputParser()
+)
+
+
+async def optimize_experience(job_title: str, job_description: str, module_data: str) -> list | dict | None:
+    """针对岗位优化经历模块描述，返回修改后的完整模块数据"""
+    try:
+        raw = await _experience_chain.ainvoke({
+            "job_title": job_title, "job_description": job_description or "",
+            "original_module_data": module_data,
+        })
+        return parse_llm_json(raw)
+    except Exception as e:
+        log.warning(f"岗位简历经历优化失败: {e}")
+        return None