step 6 complete: four specialized agents, all registered and tested

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

app/agents/task_agent.py

@@ -0,0 +1,96 @@
+"""Task agent — create, update, list, and suggest tasks."""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+
+from langchain_core.messages import HumanMessage, SystemMessage
+from langchain_core.tools import tool
+from langchain_openai import ChatOpenAI
+
+from app.config.settings import settings
+from app.core.agent_registry import ChatAgent, registry
+
+_SYSTEM_PROMPT = (
+    "You are a task management assistant (PM-oriented). Help the user create, "
+    "update, list, and suggest tasks.\n"
+    "Rules:\n"
+    "  - priority must be one of: low, medium, high, urgent\n"
+    "  - infer priority from context clues (deadlines, urgency language, dependencies)\n"
+    "  - due_date as ISO 8601 string when provided\n"
+    "  - context fields beyond user_profile are optional; use them when present\n"
+    "Use the available tools to act, then confirm what was done in plain language."
+)
+
+
+@tool
+async def create_task(
+    title: str,
+    description: str = "",
+    priority: str = "medium",
+    due_date: str = "",
+) -> str:
+    """Create a new task. priority: low | medium | high | urgent. due_date: ISO 8601."""
+    return json.dumps({
+        "action": "create_record",
+        "table": "tasks",
+        "data": {
+            "title": title,
+            "description": description,
+            "priority": priority,
+            "due_date": due_date,
+        },
+    })
+
+
+@tool
+async def update_task(task_id: str, updates: str) -> str:
+    """Update fields on an existing task. Pass updates as a JSON string, e.g. '{"priority":"high"}'."""
+    return json.dumps({
+        "action": "update_record",
+        "table": "tasks",
+        "data": {"id": task_id, "updates": updates},
+    })
+
+
+@tool
+async def list_tasks(status: str = "", priority: str = "") -> str:
+    """List tasks. Optionally filter by status (open|done|archived) or priority level."""
+    return json.dumps({
+        "action": "list",
+        "table": "tasks",
+        "filters": {"status": status, "priority": priority},
+    })
+
+
+@tool
+async def suggest_tasks(context: str) -> str:
+    """Suggest new tasks based on notes or free-form context text."""
+    return json.dumps({
+        "action": "suggest",
+        "table": "tasks",
+        "context": context,
+    })
+
+
+@registry.register
+class TaskAgent(ChatAgent):
+    def get_name(self) -> str:
+        return "task_agent"
+
+    def get_description(self) -> str:
+        return "Manages tasks: create, update, list, suggest"
+
+    def get_tools(self) -> list[Any]:
+        return [create_task, update_task, list_tasks, suggest_tasks]
+
+    async def handle(self, query: str, context: dict[str, Any]) -> str:
+        llm = ChatOpenAI(model="gpt-4o", temperature=0, api_key=settings.OPENAI_API_KEY)
+        messages = [
+            SystemMessage(content=_SYSTEM_PROMPT),
+            HumanMessage(
+                content=f"User query: {query}\nContext: {json.dumps(context)[:1000]}"
+            ),
+        ]
+        return await self._tool_loop(llm, messages, self.get_tools())