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{
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"cell_type": "code",
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+<<<<<<< HEAD
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"execution_count": 1,
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=======
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"execution_count": 11,
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "execution_count": 1,
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"id": "a4856341",
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"metadata": {},
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"outputs": [
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@@ -17,10 +21,14 @@
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]
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},
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<<<<<<< HEAD
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+<<<<<<< HEAD
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"execution_count": 1,
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=======
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"execution_count": 11,
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "execution_count": 1,
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -28,6 +36,7 @@
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"source": [
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"from textwrap import dedent\n",
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+<<<<<<< HEAD
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"\n",
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"from agno.agent import Agent\n",
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"from agno.models.openai import OpenAILike\n",
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@@ -52,19 +61,37 @@
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"import json\n",
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"load_dotenv()\n"
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=======
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+=======
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+ "\n",
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"from agno.agent import Agent\n",
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- "from dotenv import load_dotenv \n",
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"from agno.models.openai import OpenAILike\n",
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"from agno.memory.v2.db.sqlite import SqliteMemoryDb\n",
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+ "from agno.exceptions import StopAgentRun\n",
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"from agno.memory.v2.memory import Memory\n",
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- "from rich.pretty import pprint\n",
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+ "from agno.tools import tool,FunctionCall\n",
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+ "from agno.tools.dalle import DalleTools\n",
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"from agno.storage.sqlite import SqliteStorage\n",
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- "from typing import List,Dict\n",
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+ "\n",
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+ "from dotenv import load_dotenv \n",
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+ "\n",
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+ "from typing import List,Iterator\n",
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"from pydantic import BaseModel, Field\n",
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+ "\n",
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+ "from rich.console import Console\n",
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+ "from rich.prompt import Prompt\n",
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+ "from rich.pretty import pprint\n",
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+ "\n",
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+ "import httpx\n",
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"import os\n",
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+<<<<<<< HEAD
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"load_dotenv()\n",
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"\n"
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "import json\n",
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+ "load_dotenv()\n"
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+>>>>>>> d788ac0 (agno练习+转账agent)
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]
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},
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{
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@@ -78,10 +105,14 @@
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{
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"cell_type": "code",
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+<<<<<<< HEAD
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"execution_count": 2,
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=======
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"execution_count": null,
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "execution_count": 2,
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"id": "46403d1a",
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"metadata": {},
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"outputs": [
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@@ -89,10 +120,14 @@
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "b5e36e3099374134807dcb494a113ff1",
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=======
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"model_id": "9b3d2e36a97047dcaf90b8a373c1c2c1",
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "model_id": "b5e36e3099374134807dcb494a113ff1",
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"version_major": 2,
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"version_minor": 0
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},
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"output_type": "stream",
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"text": [
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+<<<<<<< HEAD
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"Final session state: {'shopping_list': ['milk', 'eggs', 'bread'], 'current_session_id': 'c0e056e2-5ea1-4e62-a955-227f6485ffa6'}\n"
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=======
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"Final session state: {'shopping_list': ['milk', 'eggs', 'bread'], 'current_session_id': 'fb205638-5e39-40e7-8722-1aedcd7995e0'}\n"
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "Final session state: {'shopping_list': ['milk', 'eggs', 'bread'], 'current_session_id': 'c0e056e2-5ea1-4e62-a955-227f6485ffa6'}\n"
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+>>>>>>> d788ac0 (agno练习+转账agent)
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]
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}
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],
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@@ -160,6 +199,7 @@
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{
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"cell_type": "code",
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"id": "8e7e7a5b",
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"metadata": {},
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@@ -169,168 +209,19 @@
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"@tool(description=\"Add an item to the shopping list.\")\n",
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=======
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"execution_count": 6,
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+=======
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+ "execution_count": null,
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"id": "8e7e7a5b",
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"metadata": {},
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- "outputs": [
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- "Session state: {'shopping_list': ['milk', 'eggs', 'bread'], 'current_session_id': '7d5889cc-c85a-46a8-bd6d-617eb4fc56fb'}\n"
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- "Session state: {'shopping_list': ['milk', 'eggs'], 'current_session_id': '7d5889cc-c85a-46a8-bd6d-617eb4fc56fb'}\n"
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- "Session state: {'shopping_list': ['milk', 'eggs', 'apples', 'oranges'], 'current_session_id': '7d5889cc-c85a-46a8-bd6d-617eb4fc56fb'}\n"
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- "Session state: {'shopping_list': ['milk', 'eggs', 'apples', 'oranges'], 'current_session_id': '7d5889cc-c85a-46a8-bd6d-617eb4fc56fb'}\n"
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Session state: {'shopping_list': ['bananas', 'yogurt'], 'current_session_id': '7d5889cc-c85a-46a8-bd6d-617eb4fc56fb'}\n"
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- ]
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- }
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- ],
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+ "outputs": [],
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"source": [
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"# Define tools to manage our shopping list\n",
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+<<<<<<< HEAD
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "@tool(description=\"Add an item to the shopping list.\")\n",
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"def add_item(agent: Agent, item: str) -> str:\n",
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" \"\"\"Add an item to the shopping list and return confirmation.\"\"\"\n",
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" # Add the item if it's not already in the list\n",
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@@ -347,10 +238,14 @@
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" return f\"'{item}' is already in the shopping list\"\n",
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"\n",
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+<<<<<<< HEAD
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"@tool(description=\"Remove an item from the shopping list by name.\")\n",
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=======
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"\n",
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "@tool(description=\"Remove an item from the shopping list by name.\")\n",
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"def remove_item(agent: Agent, item: str) -> str:\n",
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" \"\"\"Remove an item from the shopping list by name.\"\"\"\n",
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" # Case-insensitive search\n",
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@@ -367,10 +262,14 @@
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" return f\"'{item}' was not found in the shopping list\"\n",
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"\n",
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<<<<<<< HEAD
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+<<<<<<< HEAD
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"@tool(description=\"List all items in the shopping list.\")\n",
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=======
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"\n",
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "@tool(description=\"List all items in the shopping list.\")\n",
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"def list_items(agent: Agent) -> str:\n",
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" \"\"\"List all items in the shopping list.\"\"\"\n",
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" if agent.session_state is None:\n",
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@@ -437,6 +336,7 @@
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{
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"cell_type": "code",
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+<<<<<<< HEAD
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"execution_count": null,
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"id": "1f118e71",
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"metadata": {},
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@@ -568,6 +468,12 @@
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}
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],
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ "execution_count": null,
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+ "id": "1f118e71",
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+ "metadata": {},
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+ "outputs": [],
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"source": [
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"# UserId for the memories\n",
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"user_id = \"ava\"\n",
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@@ -579,6 +485,7 @@
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" # Use any model for creating memories\n",
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" model=OpenAILike(id=\"qwen3-30b-a3b\", \n",
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<<<<<<< HEAD
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+<<<<<<< HEAD
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" api_key=os.getenv(\"BAILIAN_API_KEY\"), \n",
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" base_url=os.getenv(\"BAILIAN_API_BASE_URL\"),\n",
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" request_params={\"extra_body\": {\"enable_thinking\": False}},),\n",
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@@ -587,6 +494,11 @@
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" base_url=os.getenv(\"BAILIAN_API_BASE_URL\"),\n",
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" request_params={\"extra_body\": {\"enable_thinking\": False}},),\n",
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>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
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+=======
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+ " api_key=os.getenv(\"BAILIAN_API_KEY\"), \n",
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+ " base_url=os.getenv(\"BAILIAN_API_BASE_URL\"),\n",
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+ " request_params={\"extra_body\": {\"enable_thinking\": False}},),\n",
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+>>>>>>> d788ac0 (agno练习+转账agent)
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" db=SqliteMemoryDb(table_name=\"user_memories\", db_file=db_file),\n",
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")\n",
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"# Initialize storage\n",
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@@ -644,6 +556,7 @@
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{
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"cell_type": "code",
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<<<<<<< HEAD
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+<<<<<<< HEAD
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"id": "5cddde6d",
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"metadata": {},
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@@ -790,220 +703,159 @@
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"**Multimodal Agent**"
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=======
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"execution_count": 13,
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+=======
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+ "execution_count": null,
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+>>>>>>> d788ac0 (agno练习+转账agent)
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"id": "5cddde6d",
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"metadata": {},
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- "outputs": [
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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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- "model_id": "7745304024a946c3b1e7bcba04f464ca",
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- "version_major": 2,
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- "version_minor": 0
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- },
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- "text/plain": [
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- "Output()"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [
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- "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">WARNING </span> Failed to parse cleaned JSON: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span> validation errors for MovieScript \n",
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- " setting \n",
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- " Input should be a valid string <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">string_type</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'location'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'New York Ci...t hold hidden </span>\n",
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- " <span style=\"color: #008000; text-decoration-color: #008000\">stories.'</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/string_type</span> \n",
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- " ending \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'title'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'New York'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ge...s a central character.'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- " name \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'title'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'New York'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ge...s a central character.'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- " characters \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'title'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'New York'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ge...s a central character.'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- " storyline \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'title'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'New York'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ge...s a central character.'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- " rating \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'title'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'New York'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ge...s a central character.'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- "</pre>\n"
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- ],
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- "text/plain": [
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- "\u001b[33mWARNING \u001b[0m Failed to parse cleaned JSON: \u001b[1;36m6\u001b[0m validation errors for MovieScript \n",
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- " setting \n",
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- " Input should be a valid string \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mstring_type\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'location'\u001b[0m: \u001b[32m'New York Ci...t hold hidden \u001b[0m\n",
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- " \u001b[32mstories.'\u001b[0m\u001b[1m}\u001b[0m, \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/string_type\u001b[0m \n",
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- " ending \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'title'\u001b[0m: \u001b[32m'New York'\u001b[0m, \u001b[32m'ge...s a central character.'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n",
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- " name \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'title'\u001b[0m: \u001b[32m'New York'\u001b[0m, \u001b[32m'ge...s a central character.'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n",
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- " characters \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'title'\u001b[0m: \u001b[32m'New York'\u001b[0m, \u001b[32m'ge...s a central character.'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n",
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- " storyline \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'title'\u001b[0m: \u001b[32m'New York'\u001b[0m, \u001b[32m'ge...s a central character.'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n",
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- " rating \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'title'\u001b[0m: \u001b[32m'New York'\u001b[0m, \u001b[32m'ge...s a central character.'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [
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- "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">WARNING </span> Validation failed on merged data: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span> validation errors for MovieScript \n",
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- " setting \n",
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- " Input should be a valid string <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">string_type</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'location'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'New York Ci...t hold hidden </span>\n",
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- " <span style=\"color: #008000; text-decoration-color: #008000\">stories.'</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/string_type</span> \n",
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- " ending \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'setting'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'location'</span>: <span style=\"color: #808000; text-decoration-color: #808000\">...</span>genre': <span style=\"color: #008000; text-decoration-color: #008000\">'Drama / Crime'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- " name \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'setting'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'location'</span>: <span style=\"color: #808000; text-decoration-color: #808000\">...</span>genre': <span style=\"color: #008000; text-decoration-color: #008000\">'Drama / Crime'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- " characters \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'setting'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'location'</span>: <span style=\"color: #808000; text-decoration-color: #808000\">...</span>genre': <span style=\"color: #008000; text-decoration-color: #008000\">'Drama / Crime'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- " storyline \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'setting'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'location'</span>: <span style=\"color: #808000; text-decoration-color: #808000\">...</span>genre': <span style=\"color: #008000; text-decoration-color: #008000\">'Drama / Crime'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- " rating \n",
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- " Field required <span style=\"font-weight: bold\">[</span><span style=\"color: #808000; text-decoration-color: #808000\">type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">missing</span>, <span style=\"color: #808000; text-decoration-color: #808000\">input_value</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'setting'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'location'</span>: <span style=\"color: #808000; text-decoration-color: #808000\">...</span>genre': <span style=\"color: #008000; text-decoration-color: #008000\">'Drama / Crime'</span><span style=\"font-weight: bold\">}</span>, \n",
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- " <span style=\"color: #808000; text-decoration-color: #808000\">input_type</span>=<span style=\"color: #800080; text-decoration-color: #800080\">dict</span><span style=\"font-weight: bold\">]</span> \n",
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- " For further information visit <span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://errors.pydantic.dev/2.11/v/missing</span> \n",
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- "</pre>\n"
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- ],
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- "text/plain": [
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- "\u001b[33mWARNING \u001b[0m Validation failed on merged data: \u001b[1;36m6\u001b[0m validation errors for MovieScript \n",
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- " setting \n",
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- " Input should be a valid string \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mstring_type\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'location'\u001b[0m: \u001b[32m'New York Ci...t hold hidden \u001b[0m\n",
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- " \u001b[32mstories.'\u001b[0m\u001b[1m}\u001b[0m, \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/string_type\u001b[0m \n",
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- " ending \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'setting'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'location'\u001b[0m: \u001b[33m...\u001b[0mgenre': \u001b[32m'Drama / Crime'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n",
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- " name \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'setting'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'location'\u001b[0m: \u001b[33m...\u001b[0mgenre': \u001b[32m'Drama / Crime'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n",
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- " characters \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'setting'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'location'\u001b[0m: \u001b[33m...\u001b[0mgenre': \u001b[32m'Drama / Crime'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n",
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- " storyline \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'setting'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'location'\u001b[0m: \u001b[33m...\u001b[0mgenre': \u001b[32m'Drama / Crime'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n",
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- " rating \n",
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- " Field required \u001b[1m[\u001b[0m\u001b[33mtype\u001b[0m=\u001b[35mmissing\u001b[0m, \u001b[33minput_value\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'setting'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'location'\u001b[0m: \u001b[33m...\u001b[0mgenre': \u001b[32m'Drama / Crime'\u001b[0m\u001b[1m}\u001b[0m, \n",
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- " \u001b[33minput_type\u001b[0m=\u001b[35mdict\u001b[0m\u001b[1m]\u001b[0m \n",
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- " For further information visit \u001b[4;94mhttps://errors.pydantic.dev/2.11/v/missing\u001b[0m \n"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [
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- "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">WARNING </span> All parsing attempts failed. \n",
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- "</pre>\n"
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- ],
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- "text/plain": [
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- "\u001b[33mWARNING \u001b[0m All parsing attempts failed. \n"
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- ]
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- },
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- "metadata": {},
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- "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">WARNING </span> Failed to convert response to response_model \n",
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- "</pre>\n"
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- ],
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- "text/plain": [
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- "\u001b[33mWARNING \u001b[0m Failed to convert response to response_model \n"
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- ]
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- "metadata": {},
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- ],
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- }
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- ],
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+ "outputs": [],
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"source": [
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"class MovieScript(BaseModel):\n",
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" setting: str = Field(\n",
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- " ..., description=\"Provide a nice setting for a blockbuster movie.\"\n",
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+ " ...,\n",
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+ " description=\"A richly detailed, atmospheric description of the movie's primary location and time period. Include sensory details and mood.\",\n",
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" )\n",
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" ending: str = Field(\n",
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" ...,\n",
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- " description=\"Ending of the movie. If not available, provide a happy ending.\",\n",
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+ " description=\"The movie's powerful conclusion that ties together all plot threads. Should deliver emotional impact and satisfaction.\",\n",
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" )\n",
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" genre: str = Field(\n",
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" ...,\n",
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- " description=\"Genre of the movie. If not available, select action, thriller or romantic comedy.\",\n",
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+ " description=\"The film's primary and secondary genres (e.g., 'Sci-fi Thriller', 'Romantic Comedy'). Should align with setting and tone.\",\n",
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" )\n",
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- " name: str = Field(..., description=\"Give a name to this movie\")\n",
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- " characters: List[str] = Field(..., description=\"Name of characters for this movie.\")\n",
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- " storyline: str = Field(\n",
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- " ..., description=\"3 sentence storyline for the movie. Make it exciting!\"\n",
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+ " name: str = Field(\n",
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+ " ...,\n",
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+ " description=\"An attention-grabbing, memorable title that captures the essence of the story and appeals to target audience.\",\n",
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" )\n",
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- " rating: Dict[str, int] = Field(\n",
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+ " characters: List[str] = Field(\n",
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" ...,\n",
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- " description=\"Your own rating of the movie. 1-10. Return a dictionary with the keys 'story' and 'acting'.\",\n",
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+ " description=\"4-6 main characters with distinctive names and brief role descriptions (e.g., 'Sarah Chen - brilliant quantum physicist with a dark secret').\",\n",
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" )\n",
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+ " storyline: str = Field(\n",
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+ " ...,\n",
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+ " description=\"A compelling three-sentence plot summary: Setup, Conflict, and Stakes. Hook readers with intrigue and emotion.\",\n",
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+ " )\n",
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+ "\n",
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+ "\n",
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+ "# Agent that uses JSON mode\n",
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+ "json_mode_agent = Agent(\n",
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+ " model=OpenAILike(id=\"qwen3-30b-a3b\", \n",
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+ " api_key=os.getenv(\"BAILIAN_API_KEY\"), \n",
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+ " base_url=os.getenv(\"BAILIAN_API_BASE_URL\"),\n",
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+ " request_params={\"extra_body\": {\"enable_thinking\": False}},),\n",
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+ " description=dedent(\"\"\"\\\n",
|
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+ " You are an acclaimed Hollywood screenwriter known for creating unforgettable blockbusters! 🎬\n",
|
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+ " With the combined storytelling prowess of Christopher Nolan, Aaron Sorkin, and Quentin Tarantino,\n",
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+ " you craft unique stories that captivate audiences worldwide.\n",
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+ "\n",
|
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+ " Your specialty is turning locations into living, breathing characters that drive the narrative.\\\n",
|
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+ " \"\"\"),\n",
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+ " instructions=dedent(\"\"\"\\\n",
|
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+ " When crafting movie concepts, follow these principles:\n",
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+ "\n",
|
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+ " 1. Settings should be characters:\n",
|
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+ " - Make locations come alive with sensory details\n",
|
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+ " - Include atmospheric elements that affect the story\n",
|
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+ " - Consider the time period's impact on the narrative\n",
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"\n",
|
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+ " 2. Character Development:\n",
|
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+ " - Give each character a unique voice and clear motivation\n",
|
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+ " - Create compelling relationships and conflicts\n",
|
|
|
+ " - Ensure diverse representation and authentic backgrounds\n",
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"\n",
|
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- "# Agent that uses structured outputs with streaming\n",
|
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+ " 3. Story Structure:\n",
|
|
|
+ " - Begin with a hook that grabs attention\n",
|
|
|
+ " - Build tension through escalating conflicts\n",
|
|
|
+ " - Deliver surprising yet inevitable endings\n",
|
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+ "\n",
|
|
|
+ " 4. Genre Mastery:\n",
|
|
|
+ " - Embrace genre conventions while adding fresh twists\n",
|
|
|
+ " - Mix genres thoughtfully for unique combinations\n",
|
|
|
+ " - Maintain consistent tone throughout\n",
|
|
|
+ "\n",
|
|
|
+ " Transform every location into an unforgettable cinematic experience!\\\n",
|
|
|
+ " \"\"\"),\n",
|
|
|
+ " response_model=MovieScript,\n",
|
|
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+ " use_json_mode=True,\n",
|
|
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+ ")\n",
|
|
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+ "\n",
|
|
|
+ "# Agent that uses structured outputs\n",
|
|
|
"structured_output_agent = Agent(\n",
|
|
|
" model=OpenAILike(id=\"qwen3-30b-a3b\", \n",
|
|
|
- " api_key=os.getenv(\"BAILIAN_API_KEY\"), \n",
|
|
|
- " base_url=os.getenv(\"BAILIAN_API_BASE_URL\"),\n",
|
|
|
- " request_params={\"extra_body\": {\"enable_thinking\": False}},),\n",
|
|
|
- " description=\"You write movie json scripts.\",\n",
|
|
|
+ " api_key=os.getenv(\"BAILIAN_API_KEY\"), \n",
|
|
|
+ " base_url=os.getenv(\"BAILIAN_API_BASE_URL\"),\n",
|
|
|
+ " request_params={\"extra_body\": {\"enable_thinking\": False}},),\n",
|
|
|
+ " description=dedent(\"\"\"\\\n",
|
|
|
+ " You are an acclaimed Hollywood screenwriter known for creating unforgettable blockbusters! 🎬\n",
|
|
|
+ " With the combined storytelling prowess of Christopher Nolan, Aaron Sorkin, and Quentin Tarantino,\n",
|
|
|
+ " you craft unique stories that captivate audiences worldwide.\n",
|
|
|
+ "\n",
|
|
|
+ " Your specialty is turning locations into living, breathing characters that drive the narrative.\\\n",
|
|
|
+ " \"\"\"),\n",
|
|
|
+ " instructions=dedent(\"\"\"\\\n",
|
|
|
+ " When crafting movie concepts in json, follow these principles:\n",
|
|
|
+ "\n",
|
|
|
+ " 1. Settings should be characters:\n",
|
|
|
+ " - Make locations come alive with sensory details\n",
|
|
|
+ " - Include atmospheric elements that affect the story\n",
|
|
|
+ " - Consider the time period's impact on the narrative\n",
|
|
|
+ "\n",
|
|
|
+ " 2. Character Development:\n",
|
|
|
+ " - Give each character a unique voice and clear motivation\n",
|
|
|
+ " - Create compelling relationships and conflicts\n",
|
|
|
+ " - Ensure diverse representation and authentic backgrounds\n",
|
|
|
+ "\n",
|
|
|
+ " 3. Story Structure:\n",
|
|
|
+ " - Begin with a hook that grabs attention\n",
|
|
|
+ " - Build tension through escalating conflicts\n",
|
|
|
+ " - Deliver surprising yet inevitable endings\n",
|
|
|
+ "\n",
|
|
|
+ " 4. Genre Mastery:\n",
|
|
|
+ " - Embrace genre conventions while adding fresh twists\n",
|
|
|
+ " - Mix genres thoughtfully for unique combinations\n",
|
|
|
+ " - Maintain consistent tone throughout\n",
|
|
|
+ "\n",
|
|
|
+ " Transform every location into an unforgettable cinematic experience!\\\n",
|
|
|
+ " \"\"\"),\n",
|
|
|
" response_model=MovieScript,\n",
|
|
|
")\n",
|
|
|
"\n",
|
|
|
+<<<<<<< HEAD
|
|
|
"structured_output_agent.print_response(\n",
|
|
|
" \"New York\", stream=True, stream_intermediate_steps=True\n",
|
|
|
")"
|
|
|
>>>>>>> bad0e67 (多轮对话+agno agent学习实践)
|
|
|
+=======
|
|
|
+ "# Example usage with different locations\n",
|
|
|
+ "json_mode_agent.print_response(\"Tokyo\", stream=True)\n",
|
|
|
+ "structured_output_agent.print_response(\"Ancient Rome\", stream=True)\n",
|
|
|
+ "\n",
|
|
|
+ "# More examples to try:\n",
|
|
|
+ "\"\"\"\n",
|
|
|
+ "Creative location prompts to explore:\n",
|
|
|
+ "1. \"Underwater Research Station\" - For a claustrophobic sci-fi thriller\n",
|
|
|
+ "2. \"Victorian London\" - For a gothic mystery\n",
|
|
|
+ "3. \"Dubai 2050\" - For a futuristic heist movie\n",
|
|
|
+ "4. \"Antarctic Research Base\" - For a survival horror story\n",
|
|
|
+ "5. \"Caribbean Island\" - For a tropical adventure romance\n",
|
|
|
+ "\"\"\"\n",
|
|
|
+ "\n",
|
|
|
+ "# To get the response in a variable:\n",
|
|
|
+ "# from rich.pretty import pprint\n",
|
|
|
+ "\n",
|
|
|
+ "# json_mode_response: RunResponse = json_mode_agent.run(\"New York\")\n",
|
|
|
+ "# pprint(json_mode_response.content)\n",
|
|
|
+ "# structured_output_response: RunResponse = structured_output_agent.run(\"New York\")\n",
|
|
|
+ "# pprint(structured_output_response.content)"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "id": "80d94c56",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "**Multimodal Agent**"
|
|
|
+>>>>>>> d788ac0 (agno练习+转账agent)
|
|
|
]
|
|
|
},
|
|
|
{
|
