feat(amazon): add subagent builder

surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/amazon/__init__.py

@@ -0,0 +1 @@
+"""``amazon`` builtin subagent: structured public Amazon product data."""

surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/amazon/agent.py

@@ -0,0 +1,43 @@
+"""``amazon`` route: ``SurfSenseSubagentSpec`` builder for deepagents."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from langchain_core.language_models import BaseChatModel
+from langchain_core.tools import BaseTool
+
+from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import (
+    read_md_file,
+)
+from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec
+from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import (
+    pack_subagent,
+)
+
+from .tools.index import NAME, RULESET, load_tools
+
+
+def build_subagent(
+    *,
+    dependencies: dict[str, Any],
+    model: BaseChatModel | None = None,
+    middleware_stack: dict[str, Any] | None = None,
+    mcp_tools: list[BaseTool] | None = None,
+) -> SurfSenseSubagentSpec:
+    tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])]
+    description = (
+        read_md_file(__package__, "description").strip()
+        or "Scrapes public Amazon product data for a URL or search term."
+    )
+    system_prompt = read_md_file(__package__, "system_prompt").strip()
+    return pack_subagent(
+        name=NAME,
+        description=description,
+        system_prompt=system_prompt,
+        tools=tools,
+        ruleset=RULESET,
+        dependencies=dependencies,
+        model=model,
+        middleware_stack=middleware_stack,
+    )