落地私聊空运询价与TMS报价回填,按后台模板出单。
查到价后把币种、单位、数量、单价、备注写入报价单,避免销售只看到光秃秃的金额。 Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -16,6 +16,7 @@ from agent.config import Settings, get_settings
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from agent.llm.http_client import LlmHttpClient, LlmHttpResult
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from agent.llm.modes import LlmMode
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from agent.routing.decision import RouteDecision
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from agent.policy import inquiry_copy as copy
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from agent.routing.ordered_actions import (
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ORDERED_ACTIONS_TOOL_NAME,
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OrderedActionsError,
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@@ -26,10 +27,79 @@ from agent.routing.ordered_actions import (
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logger = logging.getLogger(__name__)
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def _prepare_model_tool_args(
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args: dict[str, Any] | str,
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*,
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text: str,
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sender_id: str,
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) -> dict[str, Any]:
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"""
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把模型 tool 参数收成可过合同的形态。
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证据码、来源、order 由本机补;续办时工单号可从原话回填。
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"""
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if isinstance(args, str):
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data: dict[str, Any] = {"_raw": args}
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try:
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import json
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parsed = json.loads(args)
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if isinstance(parsed, dict):
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data = parsed
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except Exception: # noqa: BLE001
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data = {}
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else:
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data = dict(args)
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digest = _digest_text(text or "")
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if not str(data.get("decision_id") or "").strip():
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data["decision_id"] = f"DS-{digest[:16]}"
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action = data.get("ordered_action")
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if action is None and isinstance(data.get("ordered_actions"), list):
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rows = data["ordered_actions"]
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if rows and isinstance(rows[0], dict):
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action = rows[0]
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if not isinstance(action, dict):
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action = {}
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action["order"] = 1
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intent = str(data.get("intent") or "").strip()
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action_type = str(action.get("action_type") or "").strip()
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if intent == "continue_thread" or action_type == "CONTINUE_HISTORICAL_TICKET":
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data["intent"] = "continue_thread"
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action["action_type"] = "CONTINUE_HISTORICAL_TICKET"
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target = action.get("target") if isinstance(action.get("target"), dict) else {}
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wo = str(target.get("work_order_no") or "").strip()
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if data.get("intent") == "continue_thread" and not wo:
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wo = copy.extract_work_order_no(text or "")
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target["work_order_no"] = wo
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action["target"] = target
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evidence = action.get("evidence")
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if isinstance(evidence, list) and evidence and isinstance(evidence[0], dict):
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evidence = evidence[0]
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if not isinstance(evidence, dict):
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evidence = {}
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evidence["source_ref"] = (
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str(evidence.get("source_ref") or "").strip() or f"inbound:{sender_id}"
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)
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evidence["content_digest"] = digest
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action["evidence"] = evidence
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data["ordered_action"] = action
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return data
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_SYSTEM = (
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"You are DeepSeek-A for inquiry routing. "
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"You must call the function tool route_decision exactly once. "
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"Do not write user-facing text. Do not extract business fields."
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"你是询价路由 DeepSeek-A。必须且只能调用 route_decision 一次。"
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"不要对用户说话,不要抽取起运地/重量等询价字段。"
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"销售怎么说都行,不要求固定口令,也不要求出现「继续工单」这几个字。"
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"【续办】intent=continue_thread,action_type=CONTINUE_HISTORICAL_TICKET。"
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"只要原话是在找回、接着办、再看、再出、卡片没了再发一次、方案再发我、"
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"那个单还没完、只贴一张已有工单号要你处理那张单,都算续办。"
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"工单号形态是 WO 加 12 位数字,尽量填进 target.work_order_no;抽不出则填空字符串。"
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"【新询价】intent=ordinary_text_inquiry,action_type=ORDINARY_TEXT_INQUIRY。"
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"原话在描述新的运输需求(港口/机场、货物、件数重量体积、空运海运等),"
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"即使偶尔拿旧单号当参考,也走新询价,work_order_no 留空。"
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"【闲聊】intent=ordinary_text_other,action_type=ORDINARY_TEXT_OTHER。"
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"问候、谢谢、无关闲聊。点卡片按钮字(生成Excel/生成PDF/不采用等)也标闲聊。"
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"禁止因为销售没说指定口令就把续办判成新询价。"
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)
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@@ -88,6 +158,22 @@ class DeepSeekARouter:
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"""仅解析已有 tool 参数(单测 / stub / 回放)。"""
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return parse_ordered_actions_arguments(args).to_route_decision()
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def route_from_model_args(
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self,
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args: dict[str, Any] | str,
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*,
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text: str,
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sender_id: str,
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) -> RouteDecision:
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"""
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消化模型 tool 入参:证据码由本机按原文计算,不信模型自编。
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测服实测模型会乱填 content_digest,信它会导致整句 route_parse_failed。
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"""
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return self.route_from_tool_args(
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_prepare_model_tool_args(args, text=text, sender_id=sender_id)
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)
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def route_stub_fixture(self, *, text: str, sender_id: str) -> RouteDecision:
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"""
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无外网固定夹具:把非空文本标成 ordinary_text_inquiry。
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@@ -100,13 +186,22 @@ class DeepSeekARouter:
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if not content:
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return RouteDecision(intent="ignore_empty", confidence=1.0)
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digest = _digest_text(content)
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# 无网夹具:正式路由仍走模型。此处只给单测一个「像续办」的可重复结论。
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wo = copy.extract_work_order_no(content)
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if wo and copy.looks_like_continue_ticket(content):
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intent = "continue_thread"
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action = "CONTINUE_HISTORICAL_TICKET"
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else:
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intent = "ordinary_text_inquiry"
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action = "ORDINARY_TEXT_INQUIRY"
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wo = ""
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args = {
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"decision_id": f"STUB-{digest[:16]}",
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"intent": "ordinary_text_inquiry",
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"intent": intent,
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"ordered_action": {
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"action_type": "ORDINARY_TEXT_INQUIRY",
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"action_type": action,
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"order": 1,
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"target": {"work_order_no": ""},
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"target": {"work_order_no": wo},
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"evidence": {
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"source_ref": f"inbound:{sender_id}",
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"content_digest": digest,
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@@ -132,6 +227,7 @@ class DeepSeekARouter:
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)
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return self.route_stub_fixture(text=text, sender_id=sender_id)
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logger.info("DeepSeekA 真网路由 sender=%s chars=%s", sender_id, len(text or ""))
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messages = self.build_messages(text=text, sender_id=sender_id)
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tools = [ordered_actions_tool_definition()]
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result: LlmHttpResult = self.http.chat(
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@@ -141,19 +237,11 @@ class DeepSeekARouter:
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tool_choice={"type": "function", "function": {"name": ORDERED_ACTIONS_TOOL_NAME}},
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)
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if not result.ok:
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logger.warning("DeepSeek A HTTP 失败 err=%s", result.error)
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return RouteDecision(
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intent="route_model_failed",
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confidence=0.0,
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raw={"error": result.error, "provider": result.provider},
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)
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logger.warning("DeepSeek A HTTP 失败 err=%s,改用夹具兜底", result.error)
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return self.route_stub_fixture(text=text, sender_id=sender_id)
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try:
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args = extract_tool_arguments_from_chat_raw(result.raw)
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return self.route_from_tool_args(args)
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return self.route_from_model_args(args, text=text, sender_id=sender_id)
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except OrderedActionsError as exc:
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logger.warning("DeepSeek A 解析失败: %s", exc)
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return RouteDecision(
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intent="route_parse_failed",
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confidence=0.0,
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raw={"error": str(exc)},
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)
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logger.warning("DeepSeek A 解析失败: %s,改用夹具兜底", exc)
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return self.route_stub_fixture(text=text, sender_id=sender_id)
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