refactor: extract prompt bundle builder from agent

core/prompt_flow.py

@@ -0,0 +1,50 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import TYPE_CHECKING, List
+
+if TYPE_CHECKING:
+    from core.pydantic_ai_agent import AgentDeps, ConversationState, CustomerMessage, CustomerServiceAgent
+
+
+@dataclass
+class PromptBundle:
+    user_prompt: str
+    deps: "AgentDeps"
+    history: List
+
+
+def build_prompt_bundle(
+    agent: "CustomerServiceAgent",
+    *,
+    message: "CustomerMessage",
+    state: "ConversationState",
+) -> PromptBundle:
+    from core.pydantic_ai_agent import AgentDeps
+
+    user_prompt = agent._build_prompt(message, state)
+
+    profile_context = agent._get_customer_profile_context(message.from_id)
+    if profile_context:
+        user_prompt = profile_context + "\n\n" + user_prompt
+
+    refusal_hint = agent._get_refusal_context_hint(message.from_id, message.msg, profile_context or "")
+    if refusal_hint:
+        user_prompt = refusal_hint + "\n\n" + user_prompt
+
+    conv_context = agent._get_conversation_context(message.from_id, acc_id=message.acc_id or "")
+    if conv_context:
+        user_prompt = conv_context + user_prompt
+
+    intent_hint = agent._get_intent_emotion_hint(message.msg)
+    if intent_hint:
+        user_prompt = intent_hint + "\n\n" + user_prompt
+
+    deps = AgentDeps(
+        msg_id=message.msg_id,
+        acc_id=message.acc_id,
+        from_id=message.from_id,
+        platform=message.acc_type,
+    )
+    history = agent.message_histories.get(message.from_id, [])
+    return PromptBundle(user_prompt=user_prompt, deps=deps, history=history)