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@@ -1,891 +1,488 @@
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{
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- "cells": [
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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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- {
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- "data": {
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- "text/plain": [
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- "True"
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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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- ],
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- "source": [
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- "from textwrap import dedent\n",
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-<<<<<<< HEAD
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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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- "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 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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- "\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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- "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 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 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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- "\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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- "cell_type": "markdown",
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- "id": "aecbb750",
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- "metadata": {},
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- "source": [
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- "**agent state**"
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- ]
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- },
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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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- "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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- {
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- "data": {
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- "application/vnd.jupyter.widget-view+json": {
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-<<<<<<< HEAD
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-<<<<<<< HEAD
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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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- "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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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "a4856341",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "True"
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+ ]
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+ },
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+ "execution_count": 1,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "from textwrap import dedent\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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+ "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 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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+ "\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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+ "import json\n",
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+ "load_dotenv()\n"
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+ ]
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+ },
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+ {
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+ "cell_type": "markdown",
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+ "id": "aecbb750",
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+ "metadata": {},
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+ "source": [
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+ "**agent state**"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "46403d1a",
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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": "b5e36e3099374134807dcb494a113ff1",
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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\"></pre>\n"
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+ ],
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+ "text/plain": []
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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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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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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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+ }
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+ ],
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+ "source": [
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+ "# Define a tool that adds an item to the shopping list\n",
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+ "def add_item(agent: Agent, item: str) -> str:\n",
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+ " \"\"\"Add an item to the shopping list.\"\"\"\n",
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+ " if agent.session_state is None:\n",
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+ " agent.session_state = {}\n",
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+ " if \"shopping_list\" not in agent.session_state:\n",
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+ " agent.session_state[\"shopping_list\"] = []\n",
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+ " agent.session_state[\"shopping_list\"].append(item)\n",
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+ " return f\"The shopping list is now {agent.session_state['shopping_list']}\"\n",
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+ "\n",
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+ "agent = Agent(\n",
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+ "name=\"my_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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+ "markdown=True,\n",
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+ "# Initialize the session state with a counter starting at 0\n",
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+ "session_state={\"shopping_list\": []},\n",
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+ "tools=[add_item],\n",
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+ "# You can use variables from the session state in the instructions\n",
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+ "instructions=\"Current state (shopping list) is: {shopping_list}\",\n",
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+ "# Important: Add the state to the messages\n",
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+ "add_state_in_messages=True,\n",
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+ ")\n",
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+ "\n",
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+ "# Example usage\n",
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+ "agent.print_response(\"Add milk, eggs, and bread to the shopping list\", stream=True)\n",
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+ "print(f\"Final session state: {agent.session_state}\")"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "8e7e7a5b",
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+ "metadata": {},
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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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+ "@tool(description=\"Add an item to the shopping list.\")\n",
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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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+ " if agent.session_state is None:\n",
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+ " agent.session_state = {}\n",
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+ " if \"shopping_list\" not in agent.session_state:\n",
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+ " agent.session_state[\"shopping_list\"] = []\n",
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+ "\n",
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+ " # Add the item if it's not already in the list\n",
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+ " if item.lower() not in [i.lower() for i in agent.session_state[\"shopping_list\"]]:\n",
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+ " agent.session_state[\"shopping_list\"].append(item)\n",
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+ " return f\"Added '{item}' to the shopping list\"\n",
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+ " else:\n",
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+ " return f\"'{item}' is already in the shopping list\"\n",
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+ "\n",
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+ "@tool(description=\"Remove an item from the shopping list by name.\")\n",
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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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+ " if agent.session_state is None:\n",
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+ " agent.session_state = {}\n",
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+ " if \"shopping_list\" not in agent.session_state:\n",
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+ " agent.session_state[\"shopping_list\"] = []\n",
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+ "\n",
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+ " for i, list_item in enumerate(agent.session_state[\"shopping_list\"]):\n",
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+ " if list_item.lower() == item.lower():\n",
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+ " agent.session_state[\"shopping_list\"].pop(i)\n",
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+ " return f\"Removed '{list_item}' from the shopping list\"\n",
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+ "\n",
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+ " return f\"'{item}' was not found in the shopping list\"\n",
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+ "\n",
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+ "@tool(description=\"List all items in the shopping list.\")\n",
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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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+ " agent.session_state = {}\n",
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+ " if \"shopping_list\" not in agent.session_state:\n",
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+ " agent.session_state[\"shopping_list\"] = []\n",
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+ " \n",
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+ " shopping_list = agent.session_state[\"shopping_list\"]\n",
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+ "\n",
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+ " if not shopping_list:\n",
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+ " return \"The shopping list is empty.\"\n",
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+ "\n",
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+ " items_text = \"\\n\".join([f\"- {item}\" for item in shopping_list])\n",
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+ " return f\"Current shopping list:\\n{items_text}\"\n",
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+ "\n",
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+ "\n",
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+ "# Create a Shopping List Manager Agent that maintains state\n",
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+ "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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+ " # Initialize the session state with an empty shopping list\n",
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+ " session_state={\"shopping_list\": []},\n",
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+ " tools=[add_item, remove_item, list_items],\n",
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+ " # You can use variables from the session state in the instructions\n",
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+ " instructions=dedent(\"\"\"\\\n",
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+ " Your job is to manage a shopping list.\n",
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+ "\n",
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+ " The shopping list starts empty. You can add items, remove items by name, and list all items.\n",
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+ "\n",
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+ " Current shopping list: {shopping_list}\n",
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+ " \"\"\"),\n",
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+ " show_tool_calls=True,\n",
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+ " add_state_in_messages=True,\n",
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+ " markdown=True,\n",
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+ ")\n",
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+ "\n",
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+ "# Example usage\n",
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+ "agent.print_response(\"Add milk, eggs, and bread to the shopping list\", stream=True)\n",
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+ "print(f\"Session state: {agent.session_state}\")\n",
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+ "\n",
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+ "agent.print_response(\"I got bread\", stream=True)\n",
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+ "print(f\"Session state: {agent.session_state}\")\n",
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+ "\n",
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+ "agent.print_response(\"I need apples and oranges\", stream=True)\n",
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+ "print(f\"Session state: {agent.session_state}\")\n",
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+ "\n",
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+ "agent.print_response(\"whats on my list?\", stream=True)\n",
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+ "print(f\"Session state: {agent.session_state}\")\n",
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+ "\n",
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+ "agent.print_response(\"Clear everything from my list and start over with just bananas and yogurt\", stream=True)\n",
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+ "print(f\"Session state: {agent.session_state}\")"
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+ ]
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+ },
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+ {
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+ "cell_type": "markdown",
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+ "id": "e6e0404f",
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+ "metadata": {},
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+ "source": [
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+ "**Memory**"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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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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+ "source": [
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+ "# UserId for the memories\n",
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+ "user_id = \"ava\"\n",
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+ "# Database file for memory and storage\n",
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+ "db_file = \"temp/agent.db\"\n",
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+ "\n",
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+ "# Initialize memory.v2\n",
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|
|
+ "memory = Memory(\n",
|
|
|
+ " # Use any model for creating memories\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",
|
|
|
+ " db=SqliteMemoryDb(table_name=\"user_memories\", db_file=db_file),\n",
|
|
|
+ ")\n",
|
|
|
+ "# Initialize storage\n",
|
|
|
+ "storage = SqliteStorage(table_name=\"agent_sessions\", db_file=db_file)\n",
|
|
|
+ "\n",
|
|
|
+ "# Initialize Agent\n",
|
|
|
+ "memory_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",
|
|
|
+ " # Store memories in a database\n",
|
|
|
+ " memory=memory,\n",
|
|
|
+ " # Give the Agent the ability to update memories\n",
|
|
|
+ " enable_agentic_memory=True,\n",
|
|
|
+ " # OR - Run the MemoryManager after each response\n",
|
|
|
+ " enable_user_memories=True,\n",
|
|
|
+ " # Store the chat history in the database\n",
|
|
|
+ " storage=storage,\n",
|
|
|
+ " # Add the chat history to the messages\n",
|
|
|
+ " add_history_to_messages=True,\n",
|
|
|
+ " # Number of history runs\n",
|
|
|
+ " num_history_runs=3,\n",
|
|
|
+ " markdown=True,\n",
|
|
|
+ ")\n",
|
|
|
+ "\n",
|
|
|
+ "memory.clear()\n",
|
|
|
+ "memory_agent.print_response(\n",
|
|
|
+ " \"My name is Ava and I like to ski.\",\n",
|
|
|
+ " user_id=user_id,\n",
|
|
|
+ " stream=True,\n",
|
|
|
+ " stream_intermediate_steps=True,\n",
|
|
|
+ ")\n",
|
|
|
+ "print(\"Memories about Ava:\")\n",
|
|
|
+ "pprint(memory.get_user_memories(user_id=user_id))\n",
|
|
|
+ "\n",
|
|
|
+ "memory_agent.print_response(\n",
|
|
|
+ " \"I live in san francisco, where should i move within a 4 hour drive?\",\n",
|
|
|
+ " user_id=user_id,\n",
|
|
|
+ " stream=True,\n",
|
|
|
+ " stream_intermediate_steps=True,\n",
|
|
|
+ ")\n",
|
|
|
+ "print(\"Memories about Ava:\")\n",
|
|
|
+ "pprint(memory.get_user_memories(user_id=user_id))"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "id": "cd046ec3",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "**structured output**"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": null,
|
|
|
+ "id": "67fbf2a4",
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "class MovieScript(BaseModel):\n",
|
|
|
+ " setting: str = Field(\n",
|
|
|
+ " ...,\n",
|
|
|
+ " description=\"A richly detailed, atmospheric description of the movie's primary location and time period. Include sensory details and mood.\",\n",
|
|
|
+ " )\n",
|
|
|
+ " ending: str = Field(\n",
|
|
|
+ " ...,\n",
|
|
|
+ " description=\"The movie's powerful conclusion that ties together all plot threads. Should deliver emotional impact and satisfaction.\",\n",
|
|
|
+ " )\n",
|
|
|
+ " genre: str = Field(\n",
|
|
|
+ " ...,\n",
|
|
|
+ " description=\"The film's primary and secondary genres (e.g., 'Sci-fi Thriller', 'Romantic Comedy'). Should align with setting and tone.\",\n",
|
|
|
+ " )\n",
|
|
|
+ " name: str = Field(\n",
|
|
|
+ " ...,\n",
|
|
|
+ " description=\"An attention-grabbing, memorable title that captures the essence of the story and appeals to target audience.\",\n",
|
|
|
+ " )\n",
|
|
|
+ " characters: List[str] = Field(\n",
|
|
|
+ " ...,\n",
|
|
|
+ " description=\"4-6 main characters with distinctive names and brief role descriptions (e.g., 'Sarah Chen - brilliant quantum physicist with a dark secret').\",\n",
|
|
|
+ " )\n",
|
|
|
+ " storyline: str = Field(\n",
|
|
|
+ " ...,\n",
|
|
|
+ " description=\"A compelling three-sentence plot summary: Setup, Conflict, and Stakes. Hook readers with intrigue and emotion.\",\n",
|
|
|
+ " )\n",
|
|
|
+ "\n",
|
|
|
+ "\n",
|
|
|
+ "# Agent that uses JSON mode\n",
|
|
|
+ "json_mode_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=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, 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",
|
|
|
+ " use_json_mode=True,\n",
|
|
|
+ ")\n",
|
|
|
+ "\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=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",
|
|
|
+ "structured_output_agent.print_response(\n",
|
|
|
+ " \"New York\", stream=True, stream_intermediate_steps=True\n",
|
|
|
+ ")\n",
|
|
|
+ "# 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": "5cddde6d",
|
|
|
+ "metadata": {},
|
|
|
+ "source": []
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "id": "80d94c56",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "**Multimodal Agent**"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": null,
|
|
|
+ "id": "accc8ac2",
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [],
|
|
|
+ "source": []
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "metadata": {
|
|
|
+ "kernelspec": {
|
|
|
+ "display_name": ".venv",
|
|
|
+ "language": "python",
|
|
|
+ "name": "python3"
|
|
|
+ },
|
|
|
+ "language_info": {
|
|
|
+ "codemirror_mode": {
|
|
|
+ "name": "ipython",
|
|
|
+ "version": 3
|
|
|
+ },
|
|
|
+ "file_extension": ".py",
|
|
|
+ "mimetype": "text/x-python",
|
|
|
+ "name": "python",
|
|
|
+ "nbconvert_exporter": "python",
|
|
|
+ "pygments_lexer": "ipython3",
|
|
|
+ "version": "3.11.13"
|
|
|
+ }
|
|
|
},
|
|
|
- {
|
|
|
- "data": {
|
|
|
- "text/html": [
|
|
|
- "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
|
|
|
- ],
|
|
|
- "text/plain": []
|
|
|
- },
|
|
|
- "metadata": {},
|
|
|
- "output_type": "display_data"
|
|
|
- },
|
|
|
- {
|
|
|
- "name": "stdout",
|
|
|
- "output_type": "stream",
|
|
|
- "text": [
|
|
|
-<<<<<<< HEAD
|
|
|
-<<<<<<< HEAD
|
|
|
- "Final session state: {'shopping_list': ['milk', 'eggs', 'bread'], 'current_session_id': 'c0e056e2-5ea1-4e62-a955-227f6485ffa6'}\n"
|
|
|
-=======
|
|
|
- "Final session state: {'shopping_list': ['milk', 'eggs', 'bread'], 'current_session_id': 'fb205638-5e39-40e7-8722-1aedcd7995e0'}\n"
|
|
|
->>>>>>> bad0e67 (多轮对话+agno agent学习实践)
|
|
|
-=======
|
|
|
- "Final session state: {'shopping_list': ['milk', 'eggs', 'bread'], 'current_session_id': 'c0e056e2-5ea1-4e62-a955-227f6485ffa6'}\n"
|
|
|
->>>>>>> d788ac0 (agno练习+转账agent)
|
|
|
- ]
|
|
|
- }
|
|
|
- ],
|
|
|
- "source": [
|
|
|
- "# Define a tool that adds an item to the shopping list\n",
|
|
|
- "def add_item(agent: Agent, item: str) -> str:\n",
|
|
|
- " \"\"\"Add an item to the shopping list.\"\"\"\n",
|
|
|
- " if agent.session_state is None:\n",
|
|
|
- " agent.session_state = {}\n",
|
|
|
- " if \"shopping_list\" not in agent.session_state:\n",
|
|
|
- " agent.session_state[\"shopping_list\"] = []\n",
|
|
|
- " agent.session_state[\"shopping_list\"].append(item)\n",
|
|
|
- " return f\"The shopping list is now {agent.session_state['shopping_list']}\"\n",
|
|
|
- "\n",
|
|
|
- "agent = Agent(\n",
|
|
|
- "name=\"my_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",
|
|
|
- "markdown=True,\n",
|
|
|
- "# Initialize the session state with a counter starting at 0\n",
|
|
|
- "session_state={\"shopping_list\": []},\n",
|
|
|
- "tools=[add_item],\n",
|
|
|
- "# You can use variables from the session state in the instructions\n",
|
|
|
- "instructions=\"Current state (shopping list) is: {shopping_list}\",\n",
|
|
|
- "# Important: Add the state to the messages\n",
|
|
|
- "add_state_in_messages=True,\n",
|
|
|
- ")\n",
|
|
|
- "\n",
|
|
|
- "# Example usage\n",
|
|
|
- "agent.print_response(\"Add milk, eggs, and bread to the shopping list\", stream=True)\n",
|
|
|
- "print(f\"Final session state: {agent.session_state}\")"
|
|
|
- ]
|
|
|
- },
|
|
|
- {
|
|
|
- "cell_type": "code",
|
|
|
-<<<<<<< HEAD
|
|
|
-<<<<<<< HEAD
|
|
|
- "execution_count": null,
|
|
|
- "id": "8e7e7a5b",
|
|
|
- "metadata": {},
|
|
|
- "outputs": [],
|
|
|
- "source": [
|
|
|
- "# Define tools to manage our shopping list\n",
|
|
|
- "@tool(description=\"Add an item to the shopping list.\")\n",
|
|
|
-=======
|
|
|
- "execution_count": 6,
|
|
|
-=======
|
|
|
- "execution_count": null,
|
|
|
->>>>>>> d788ac0 (agno练习+转账agent)
|
|
|
- "id": "8e7e7a5b",
|
|
|
- "metadata": {},
|
|
|
- "outputs": [],
|
|
|
- "source": [
|
|
|
- "# Define tools to manage our shopping list\n",
|
|
|
-<<<<<<< HEAD
|
|
|
->>>>>>> bad0e67 (多轮对话+agno agent学习实践)
|
|
|
-=======
|
|
|
- "@tool(description=\"Add an item to the shopping list.\")\n",
|
|
|
->>>>>>> d788ac0 (agno练习+转账agent)
|
|
|
- "def add_item(agent: Agent, item: str) -> str:\n",
|
|
|
- " \"\"\"Add an item to the shopping list and return confirmation.\"\"\"\n",
|
|
|
- " # Add the item if it's not already in the list\n",
|
|
|
- " if agent.session_state is None:\n",
|
|
|
- " agent.session_state = {}\n",
|
|
|
- " if \"shopping_list\" not in agent.session_state:\n",
|
|
|
- " agent.session_state[\"shopping_list\"] = []\n",
|
|
|
- "\n",
|
|
|
- " # Add the item if it's not already in the list\n",
|
|
|
- " if item.lower() not in [i.lower() for i in agent.session_state[\"shopping_list\"]]:\n",
|
|
|
- " agent.session_state[\"shopping_list\"].append(item)\n",
|
|
|
- " return f\"Added '{item}' to the shopping list\"\n",
|
|
|
- " else:\n",
|
|
|
- " return f\"'{item}' is already in the shopping list\"\n",
|
|
|
- "\n",
|
|
|
-<<<<<<< HEAD
|
|
|
-<<<<<<< HEAD
|
|
|
- "@tool(description=\"Remove an item from the shopping list by name.\")\n",
|
|
|
-=======
|
|
|
- "\n",
|
|
|
->>>>>>> bad0e67 (多轮对话+agno agent学习实践)
|
|
|
-=======
|
|
|
- "@tool(description=\"Remove an item from the shopping list by name.\")\n",
|
|
|
->>>>>>> d788ac0 (agno练习+转账agent)
|
|
|
- "def remove_item(agent: Agent, item: str) -> str:\n",
|
|
|
- " \"\"\"Remove an item from the shopping list by name.\"\"\"\n",
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- " # Case-insensitive search\n",
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- " if agent.session_state is None:\n",
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- " agent.session_state = {}\n",
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- " if \"shopping_list\" not in agent.session_state:\n",
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- " agent.session_state[\"shopping_list\"] = []\n",
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- "\n",
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- " for i, list_item in enumerate(agent.session_state[\"shopping_list\"]):\n",
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- " if list_item.lower() == item.lower():\n",
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- " agent.session_state[\"shopping_list\"].pop(i)\n",
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- " return f\"Removed '{list_item}' from the shopping list\"\n",
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- "\n",
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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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- " agent.session_state = {}\n",
|
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- " if \"shopping_list\" not in agent.session_state:\n",
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- " agent.session_state[\"shopping_list\"] = []\n",
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- " \n",
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- " shopping_list = agent.session_state[\"shopping_list\"]\n",
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- "\n",
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- " if not shopping_list:\n",
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- " return \"The shopping list is empty.\"\n",
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- "\n",
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- " items_text = \"\\n\".join([f\"- {item}\" for item in shopping_list])\n",
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- " return f\"Current shopping list:\\n{items_text}\"\n",
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- "\n",
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- "\n",
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- "# Create a Shopping List Manager Agent that maintains state\n",
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- "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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- " # Initialize the session state with an empty shopping list\n",
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- " session_state={\"shopping_list\": []},\n",
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- " tools=[add_item, remove_item, list_items],\n",
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- " # You can use variables from the session state in the instructions\n",
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- " instructions=dedent(\"\"\"\\\n",
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- " Your job is to manage a shopping list.\n",
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- "\n",
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- " The shopping list starts empty. You can add items, remove items by name, and list all items.\n",
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- "\n",
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- " Current shopping list: {shopping_list}\n",
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- " \"\"\"),\n",
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- " show_tool_calls=True,\n",
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- " add_state_in_messages=True,\n",
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- " markdown=True,\n",
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- ")\n",
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- "\n",
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- "# Example usage\n",
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- "agent.print_response(\"Add milk, eggs, and bread to the shopping list\", stream=True)\n",
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- "print(f\"Session state: {agent.session_state}\")\n",
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- "\n",
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- "agent.print_response(\"I got bread\", stream=True)\n",
|
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- "print(f\"Session state: {agent.session_state}\")\n",
|
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- "\n",
|
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- "agent.print_response(\"I need apples and oranges\", stream=True)\n",
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- "print(f\"Session state: {agent.session_state}\")\n",
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- "\n",
|
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- "agent.print_response(\"whats on my list?\", stream=True)\n",
|
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- "print(f\"Session state: {agent.session_state}\")\n",
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- "\n",
|
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- "agent.print_response(\"Clear everything from my list and start over with just bananas and yogurt\", stream=True)\n",
|
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- "print(f\"Session state: {agent.session_state}\")"
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- ]
|
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- },
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- {
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- "cell_type": "markdown",
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- "id": "e6e0404f",
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- "metadata": {},
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- "source": [
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- "**Memory**"
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- ]
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- },
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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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- "execution_count": null,
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- "id": "1f118e71",
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- "metadata": {},
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- "outputs": [],
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-=======
|
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- "execution_count": 14,
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- "id": "1f118e71",
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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": "c3b320b12c3540849310be03a5e4ae27",
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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\"></pre>\n"
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- ],
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- "text/plain": []
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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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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Memories about Ava:\n"
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- ]
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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=\"font-weight: bold\">[</span>\n",
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">UserMemory</span><span style=\"font-weight: bold\">(</span>\n",
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">memory</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'Ava likes to ski.'</span>,\n",
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">topics</span>=<span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'name'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'hobbies'</span><span style=\"font-weight: bold\">]</span>,\n",
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">input</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'My name is Ava and I like to ski.'</span>,\n",
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">last_updated</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">datetime</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">.datetime</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">101965</span><span style=\"font-weight: bold\">)</span>,\n",
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">memory_id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'c97cfac1-5166-49c3-b002-dac0530182ab'</span>\n",
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ </span><span style=\"font-weight: bold\">)</span>\n",
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- "<span style=\"font-weight: bold\">]</span>\n",
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- "</pre>\n"
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- "\u001b[2;32m│ │ \u001b[0m\u001b[33minput\u001b[0m=\u001b[32m'My name is Ava and I like to ski.'\u001b[0m,\n",
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- "\u001b[2;32m│ │ \u001b[0m\u001b[33mmemory_id\u001b[0m=\u001b[32m'c97cfac1-5166-49c3-b002-dac0530182ab'\u001b[0m\n",
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- "text/plain": [
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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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- "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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- ],
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Memories about Ava:\n"
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- ]
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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=\"font-weight: bold\">[</span>\n",
|
|
|
- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ </span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">UserMemory</span><span style=\"font-weight: bold\">(</span>\n",
|
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">memory</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'Ava likes to ski.'</span>,\n",
|
|
|
- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">topics</span>=<span style=\"font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">'name'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'hobbies'</span><span style=\"font-weight: bold\">]</span>,\n",
|
|
|
- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">input</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'My name is Ava and I like to ski.'</span>,\n",
|
|
|
- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">last_updated</span>=<span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">datetime</span><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">.datetime</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2025</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">14</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">17</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">48</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">101965</span><span style=\"font-weight: bold\">)</span>,\n",
|
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|
- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ │ </span><span style=\"color: #808000; text-decoration-color: #808000\">memory_id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'c97cfac1-5166-49c3-b002-dac0530182ab'</span>\n",
|
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- "<span style=\"color: #7fbf7f; text-decoration-color: #7fbf7f\">│ </span><span style=\"font-weight: bold\">)</span>\n",
|
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- "<span style=\"font-weight: bold\">]</span>\n",
|
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- "</pre>\n"
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- ],
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- "text/plain": [
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- "\u001b[1m[\u001b[0m\n",
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- "\u001b[2;32m│ │ \u001b[0m\u001b[33mmemory\u001b[0m=\u001b[32m'Ava likes to ski.'\u001b[0m,\n",
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- "\u001b[2;32m│ │ \u001b[0m\u001b[33mtopics\u001b[0m=\u001b[1m[\u001b[0m\u001b[32m'name'\u001b[0m, \u001b[32m'hobbies'\u001b[0m\u001b[1m]\u001b[0m,\n",
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- "\u001b[2;32m│ │ \u001b[0m\u001b[33minput\u001b[0m=\u001b[32m'My name is Ava and I like to ski.'\u001b[0m,\n",
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- "\u001b[2;32m│ │ \u001b[0m\u001b[33mlast_updated\u001b[0m=\u001b[1;35mdatetime\u001b[0m\u001b[1;35m.datetime\u001b[0m\u001b[1m(\u001b[0m\u001b[1;36m2025\u001b[0m, \u001b[1;36m7\u001b[0m, \u001b[1;36m14\u001b[0m, \u001b[1;36m17\u001b[0m, \u001b[1;36m48\u001b[0m, \u001b[1;36m3\u001b[0m, \u001b[1;36m101965\u001b[0m\u001b[1m)\u001b[0m,\n",
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- "\u001b[2;32m│ │ \u001b[0m\u001b[33mmemory_id\u001b[0m=\u001b[32m'c97cfac1-5166-49c3-b002-dac0530182ab'\u001b[0m\n",
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- "\u001b[2;32m│ \u001b[0m\u001b[1m)\u001b[0m\n",
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- "\u001b[1m]\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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->>>>>>> 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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|
- "# Database file for memory and storage\n",
|
|
|
- "db_file = \"temp/agent.db\"\n",
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- "\n",
|
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|
- "# Initialize memory.v2\n",
|
|
|
- "memory = Memory(\n",
|
|
|
- " # Use any model for creating memories\n",
|
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|
- " model=OpenAILike(id=\"qwen3-30b-a3b\", \n",
|
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-<<<<<<< HEAD
|
|
|
-<<<<<<< HEAD
|
|
|
- " 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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-=======
|
|
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- " 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",
|
|
|
->>>>>>> bad0e67 (多轮对话+agno agent学习实践)
|
|
|
-=======
|
|
|
- " 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",
|
|
|
->>>>>>> d788ac0 (agno练习+转账agent)
|
|
|
- " db=SqliteMemoryDb(table_name=\"user_memories\", db_file=db_file),\n",
|
|
|
- ")\n",
|
|
|
- "# Initialize storage\n",
|
|
|
- "storage = SqliteStorage(table_name=\"agent_sessions\", db_file=db_file)\n",
|
|
|
- "\n",
|
|
|
- "# Initialize Agent\n",
|
|
|
- "memory_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",
|
|
|
- " # Store memories in a database\n",
|
|
|
- " memory=memory,\n",
|
|
|
- " # Give the Agent the ability to update memories\n",
|
|
|
- " enable_agentic_memory=True,\n",
|
|
|
- " # OR - Run the MemoryManager after each response\n",
|
|
|
- " enable_user_memories=True,\n",
|
|
|
- " # Store the chat history in the database\n",
|
|
|
- " storage=storage,\n",
|
|
|
- " # Add the chat history to the messages\n",
|
|
|
- " add_history_to_messages=True,\n",
|
|
|
- " # Number of history runs\n",
|
|
|
- " num_history_runs=3,\n",
|
|
|
- " markdown=True,\n",
|
|
|
- ")\n",
|
|
|
- "\n",
|
|
|
- "memory.clear()\n",
|
|
|
- "memory_agent.print_response(\n",
|
|
|
- " \"My name is Ava and I like to ski.\",\n",
|
|
|
- " user_id=user_id,\n",
|
|
|
- " stream=True,\n",
|
|
|
- " stream_intermediate_steps=True,\n",
|
|
|
- ")\n",
|
|
|
- "print(\"Memories about Ava:\")\n",
|
|
|
- "pprint(memory.get_user_memories(user_id=user_id))\n",
|
|
|
- "\n",
|
|
|
- "memory_agent.print_response(\n",
|
|
|
- " \"I live in san francisco, where should i move within a 4 hour drive?\",\n",
|
|
|
- " user_id=user_id,\n",
|
|
|
- " stream=True,\n",
|
|
|
- " stream_intermediate_steps=True,\n",
|
|
|
- ")\n",
|
|
|
- "print(\"Memories about Ava:\")\n",
|
|
|
- "pprint(memory.get_user_memories(user_id=user_id))"
|
|
|
- ]
|
|
|
- },
|
|
|
- {
|
|
|
- "cell_type": "markdown",
|
|
|
- "id": "cd046ec3",
|
|
|
- "metadata": {},
|
|
|
- "source": [
|
|
|
- "**structured output**"
|
|
|
- ]
|
|
|
- },
|
|
|
- {
|
|
|
- "cell_type": "code",
|
|
|
-<<<<<<< HEAD
|
|
|
-<<<<<<< HEAD
|
|
|
- "execution_count": null,
|
|
|
- "id": "5cddde6d",
|
|
|
- "metadata": {},
|
|
|
- "outputs": [],
|
|
|
- "source": [
|
|
|
- "class MovieScript(BaseModel):\n",
|
|
|
- " setting: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"A richly detailed, atmospheric description of the movie's primary location and time period. Include sensory details and mood.\",\n",
|
|
|
- " )\n",
|
|
|
- " ending: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"The movie's powerful conclusion that ties together all plot threads. Should deliver emotional impact and satisfaction.\",\n",
|
|
|
- " )\n",
|
|
|
- " genre: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"The film's primary and secondary genres (e.g., 'Sci-fi Thriller', 'Romantic Comedy'). Should align with setting and tone.\",\n",
|
|
|
- " )\n",
|
|
|
- " name: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"An attention-grabbing, memorable title that captures the essence of the story and appeals to target audience.\",\n",
|
|
|
- " )\n",
|
|
|
- " characters: List[str] = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"4-6 main characters with distinctive names and brief role descriptions (e.g., 'Sarah Chen - brilliant quantum physicist with a dark secret').\",\n",
|
|
|
- " )\n",
|
|
|
- " storyline: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"A compelling three-sentence plot summary: Setup, Conflict, and Stakes. Hook readers with intrigue and emotion.\",\n",
|
|
|
- " )\n",
|
|
|
- "\n",
|
|
|
- "\n",
|
|
|
- "# Agent that uses JSON mode\n",
|
|
|
- "json_mode_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=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, 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",
|
|
|
- " use_json_mode=True,\n",
|
|
|
- ")\n",
|
|
|
- "\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=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",
|
|
|
- "# 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**"
|
|
|
-=======
|
|
|
- "execution_count": 13,
|
|
|
-=======
|
|
|
- "execution_count": null,
|
|
|
->>>>>>> d788ac0 (agno练习+转账agent)
|
|
|
- "id": "5cddde6d",
|
|
|
- "metadata": {},
|
|
|
- "outputs": [],
|
|
|
- "source": [
|
|
|
- "class MovieScript(BaseModel):\n",
|
|
|
- " setting: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"A richly detailed, atmospheric description of the movie's primary location and time period. Include sensory details and mood.\",\n",
|
|
|
- " )\n",
|
|
|
- " ending: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"The movie's powerful conclusion that ties together all plot threads. Should deliver emotional impact and satisfaction.\",\n",
|
|
|
- " )\n",
|
|
|
- " genre: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"The film's primary and secondary genres (e.g., 'Sci-fi Thriller', 'Romantic Comedy'). Should align with setting and tone.\",\n",
|
|
|
- " )\n",
|
|
|
- " name: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"An attention-grabbing, memorable title that captures the essence of the story and appeals to target audience.\",\n",
|
|
|
- " )\n",
|
|
|
- " characters: List[str] = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"4-6 main characters with distinctive names and brief role descriptions (e.g., 'Sarah Chen - brilliant quantum physicist with a dark secret').\",\n",
|
|
|
- " )\n",
|
|
|
- " storyline: str = Field(\n",
|
|
|
- " ...,\n",
|
|
|
- " description=\"A compelling three-sentence plot summary: Setup, Conflict, and Stakes. Hook readers with intrigue and emotion.\",\n",
|
|
|
- " )\n",
|
|
|
- "\n",
|
|
|
- "\n",
|
|
|
- "# Agent that uses JSON mode\n",
|
|
|
- "json_mode_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=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, 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",
|
|
|
- " use_json_mode=True,\n",
|
|
|
- ")\n",
|
|
|
- "\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=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)
|
|
|
- ]
|
|
|
- },
|
|
|
- {
|
|
|
- "cell_type": "code",
|
|
|
- "execution_count": null,
|
|
|
- "id": "accc8ac2",
|
|
|
- "metadata": {},
|
|
|
- "outputs": [],
|
|
|
- "source": []
|
|
|
- }
|
|
|
- ],
|
|
|
- "metadata": {
|
|
|
- "kernelspec": {
|
|
|
- "display_name": ".venv",
|
|
|
- "language": "python",
|
|
|
- "name": "python3"
|
|
|
- },
|
|
|
- "language_info": {
|
|
|
- "codemirror_mode": {
|
|
|
- "name": "ipython",
|
|
|
- "version": 3
|
|
|
- },
|
|
|
- "file_extension": ".py",
|
|
|
- "mimetype": "text/x-python",
|
|
|
- "name": "python",
|
|
|
- "nbconvert_exporter": "python",
|
|
|
- "pygments_lexer": "ipython3",
|
|
|
- "version": "3.11.13"
|
|
|
- }
|
|
|
- },
|
|
|
- "nbformat": 4,
|
|
|
- "nbformat_minor": 5
|
|
|
+ "nbformat": 4,
|
|
|
+ "nbformat_minor": 5
|
|
|
}
|
