# Add Dynamic Agent API (Type=1) with Database Integration

I will implement the Dynamic Agent feature by integrating it with the existing `agent_cards` system. Dynamic Agents will be distinguished by `type=1` and will store their extended data (videos, knowledge base) in a new linked table.

## 1. Database Schema Extension
I will create a new table `dynamic_agent_details` to store the specialized data for dynamic agents.
*   **Table Name**: `dynamic_agent_details`
*   **Columns**:
    *   `id`: `SERIAL PRIMARY KEY`
    *   `card_id`: `INTEGER` (Foreign Key linking to `agent_cards.card_id`)
    *   `videos`: `JSONB` (Stores list of `{url, emotion}`, min 1, max 7)
    *   `kb_id`: `VARCHAR` (Knowledge Base ID)
    *   `kb_config`: `JSONB` (Additional Knowledge Base fields)
    *   `created_at`: `TIMESTAMP`

## 2. Code Implementation (`main.py`)

### Pydantic Models
I will define:
*   `VideoItem`: `{url: str, emotion: str}`
*   `DynamicAgentCreate`: Inherits/Includes fields from `AgentCard` (name, avatar, etc.) PLUS:
    *   `videos`: List[VideoItem] (validated length 1-7)
    *   `kb_id`: str
    *   `kb_config`: dict

### API Endpoints
1.  **Create Dynamic Agent**
    *   `POST /dynamic_agent/`
    *   **Logic**:
        1.  Insert the base agent info into `agent_cards` with `type=1` and `RETURNING card_id`.
        2.  Insert the extended info (videos, kb details) into `dynamic_agent_details` using the returned `card_id`.
        3.  Return the new `card_id`.

2.  **Get Dynamic Agent Details**
    *   `GET /dynamic_agent/{card_id}`
    *   **Logic**:
        1.  Fetch base info from `agent_cards`.
        2.  Fetch extended info from `dynamic_agent_details`.
        3.  Return combined result.

### Helper Functions
*   `init_dynamic_agent_db()`: Checks/Creates the `dynamic_agent_details` table on startup.

## 3. Verification
*   Create a dynamic agent via the new API.
*   Verify it appears in the `agent_cards` table (as type 1).
*   Verify extended data is in `dynamic_agent_details`.