Simple BeeAI Python example - Bay Area AI Meetup - San Francisco, CA - 02/20/2025

BeeAI-python-2.ipynb

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   "id": "877a94f7-98e7-459a-9206-d62b2c156fa3",
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   "outputs": [],
   "source": [
    "# BeeAI Python (simple Bee and Bee + Tool)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d1e86386-39ce-41c2-ab72-b0c8cbac8c1c",
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      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install beeai-framework"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9fd268f7-7314-43dd-a72d-be6c9645d1cd",
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     ]
    }
   ],
   "source": [
    "pip install wikipedia"
   ]
  },
  {
   "cell_type": "code",
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   "id": "b05945a4-f571-47cb-b282-ba56d46678ba",
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      "Requirement already satisfied: python-dotenv>=0.21.0 in /opt/anaconda3/lib/python3.11/site-packages (from pydantic-settings<3.0.0,>=2.4.0->langchain_community) (0.21.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/anaconda3/lib/python3.11/site-packages (from requests<3,>=2->langchain_community) (2.0.4)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /opt/anaconda3/lib/python3.11/site-packages (from requests<3,>=2->langchain_community) (3.4)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/anaconda3/lib/python3.11/site-packages (from requests<3,>=2->langchain_community) (2.0.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/anaconda3/lib/python3.11/site-packages (from requests<3,>=2->langchain_community) (2024.8.30)\n",
      "Requirement already satisfied: anyio in /opt/anaconda3/lib/python3.11/site-packages (from httpx<1,>=0.23.0->langsmith<0.4,>=0.1.125->langchain_community) (4.8.0)\n",
      "Requirement already satisfied: httpcore==1.* in /opt/anaconda3/lib/python3.11/site-packages (from httpx<1,>=0.23.0->langsmith<0.4,>=0.1.125->langchain_community) (1.0.2)\n",
      "Requirement already satisfied: h11<0.15,>=0.13 in /opt/anaconda3/lib/python3.11/site-packages (from httpcore==1.*->httpx<1,>=0.23.0->langsmith<0.4,>=0.1.125->langchain_community) (0.14.0)\n",
      "Requirement already satisfied: jsonpointer>=1.9 in /opt/anaconda3/lib/python3.11/site-packages (from jsonpatch<2.0,>=1.33->langchain-core<1.0.0,>=0.3.37->langchain_community) (2.1)\n",
      "Requirement already satisfied: annotated-types>=0.6.0 in /opt/anaconda3/lib/python3.11/site-packages (from pydantic<3.0.0,>=2.7.4->langchain<1.0.0,>=0.3.19->langchain_community) (0.7.0)\n",
      "Requirement already satisfied: pydantic-core==2.27.2 in /opt/anaconda3/lib/python3.11/site-packages (from pydantic<3.0.0,>=2.7.4->langchain<1.0.0,>=0.3.19->langchain_community) (2.27.2)\n",
      "Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/anaconda3/lib/python3.11/site-packages (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain_community) (1.0.0)\n",
      "Requirement already satisfied: sniffio>=1.1 in /opt/anaconda3/lib/python3.11/site-packages (from anyio->httpx<1,>=0.23.0->langsmith<0.4,>=0.1.125->langchain_community) (1.3.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install langchain_community"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7e99aabc-9e9e-4201-ad4c-9ddfa702faeb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.11/site-packages/pydantic/_internal/_fields.py:192: UserWarning: Field name \"schema\" in \"ChatModelStructureInput\" shadows an attribute in parent \"BaseModel\"\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "import asyncio\n",
    "\n",
    "from beeai_framework.agents.bee.agent import BeeAgent\n",
    "from beeai_framework.agents.types import BeeInput, BeeRunInput, BeeRunOutput\n",
    "from beeai_framework.backend.chat import ChatModel\n",
    "from beeai_framework.memory.unconstrained_memory import UnconstrainedMemory\n",
    "from beeai_framework.tools.weather.openmeteo import OpenMeteoTool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0c7b80c3-d933-4487-9835-2b3e0d5d210c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create LLM instance\n",
    "llm = await ChatModel.from_name(\"ollama:granite3.1-dense:8b\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d8051ce3-bbb1-4485-bb54-37cc1f54ddbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Simple Agent (no tools)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ba5d554a-cae1-4b68-acce-8a711e7f66a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "agent = BeeAgent(bee_input=BeeInput(llm=llm, tools=[], memory=UnconstrainedMemory()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7277f69c-9616-4970-ba3d-0d6365302aec",
   "metadata": {},
   "outputs": [],
   "source": [
    "result: BeeRunOutput = await agent.run(run_input=BeeRunInput(prompt=\"What is the capital of California?\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0e830304-3b83-4d19-8f81-368f213d36c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The capital of California is Sacramento.\n"
     ]
    }
   ],
   "source": [
    "print(result.result.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1fff5df0-0584-4d75-872c-2f34fec7aea7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sacramento was founded during the California Gold Rush in 1848 and became the state's capital upon joining the Union in 1850. It has since grown into a major agricultural and transportation center.\n"
     ]
    }
   ],
   "source": [
    "result: BeeRunOutput = await agent.run(run_input=BeeRunInput(prompt=\"Tell me a brief history of the capital of California?\"))\n",
    "print(result.result.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f53372a4-4da6-44da-bb53-bdc7b7104bef",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Agents with tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "73fc31d4-55fe-4f89-9cb6-31b6081784cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "agent = BeeAgent(bee_input=BeeInput(llm=llm, tools=[OpenMeteoTool()], memory=UnconstrainedMemory()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7c42d75c-e9c2-4713-852c-920eb61f8d50",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The current temperature in San Francisco is 14.3 degrees Celsius, with no rain and a wind speed of 7.9 km/h.\n"
     ]
    }
   ],
   "source": [
    "result: BeeRunOutput = await agent.run(run_input=BeeRunInput(prompt=\"What is the weather in San Francisco today?\"))\n",
    "print(result.result.text)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

Ideally we should get to something like this for the code

from beeai.tools import OpenMeteoTool
from beeai.framework import ChatModel, BeeAgent

llm = ChatModel.for_name(“ollama…”)
agent = BeeAgent(llm=llm, tools=[OpenMeteoTool()], memory=UnconstrainedMemory())
agent.run("What…”).observe(lambda result: print(result.text))

After talking to Tomas about this a bit I opened i-am-bee/beeai-framework#385 and https://github.com/orgs/i-am-bee/discussions/386 to track these feature requests

👍 @ajbozarth

Also worth noting that the first one is an issue because Tomas already had it on his mind as an improvement to bring up this week, whereas the second ones a discussion because he's worried that it will be a large API change needed on both implementations and thus should be discussed before committing to implementation