Demos a Llama 2 agent

Llama2ColorAgent.ipynb

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     "text": [
      "C:\\Users\\ablon\\AppData\\Local\\Temp\\ipykernel_35796\\3398436372.py:4: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n",
      "  from IPython.core.display import display, HTML\n"
     ]
    }
   ],
   "source": [
    "from llama_cpp import Llama\n",
    "import re\n",
    "import json\n",
    "from IPython.core.display import display, HTML"
   ]
  },
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   "cell_type": "code",
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     "text": [
      "AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | VSX = 0 | \n"
     ]
    }
   ],
   "source": [
    "# Create the model using Llama 2 7b chat (runs on CPU)\n",
    "# .bin downloaded from here : https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML\n",
    "# but they can come from here too? : https://ai.meta.com/llama/\n",
    "llm = Llama(model_path=\"./llama-2-7b-chat.ggmlv3.q8_0.bin\")"
   ]
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     "data": {
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       "{'id': 'cmpl-776feafd-95fb-451a-9db9-5388e4f40024',\n",
       " 'object': 'text_completion',\n",
       " 'created': 1692903378,\n",
       " 'model': './llama-2-7b-chat.ggmlv3.q8_0.bin',\n",
       " 'choices': [{'text': '\\n\\nThe days of the week in order from Monday to Sunday are:\\n\\n1. Monday\\n2. Tuesday\\n3. Wednesday\\n4. Thursday\\n5. Friday\\n6. Saturday\\n7. Sunday',\n",
       "   'index': 0,\n",
       "   'logprobs': None,\n",
       "   'finish_reason': 'stop'}],\n",
       " 'usage': {'prompt_tokens': 11, 'completion_tokens': 50, 'total_tokens': 61}}"
      ]
     },
     "execution_count": 3,
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   ],
   "source": [
    "llm(\"What are the days of the week in order?\")"
   ]
  },
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   "execution_count": 4,
   "id": "f72c4723-cd1c-4c62-8c7e-49cafce07777",
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   "source": [
    "# create an prompt template that uses an engineered system_prompt\n",
    "\n",
    "# Based on:\n",
    "# https://www.pinecone.io/learn/llama-2/\n",
    "# and\n",
    "# https://docs.langchain.com/docs/components/agents\n",
    "\n",
    "prompt_template = '''<s>[INST] <<SYS>>\n",
    "Assistant is a expert JSON builder designed to assist with a wide range of tasks.\n",
    "\n",
    "Assistant is able to trigger actions for User by responding with JSON strings that contain \"action\" and \"action_input\" parameters.\n",
    "\n",
    "Actions available to Assistant are:\n",
    "\n",
    "- \"set_room_color\": Useful for when Assistant is asked to set the color of User's lighting.\n",
    "  - To use the set_room_color tool, Assistant should respond like so:\n",
    "    {{\"action\": \"set_room_color\", \"action_input\": \"#FF0000\"}}\n",
    "\n",
    "Here are some previous conversations between the Assistant and User:\n",
    "\n",
    "User: Hey how are you today?\n",
    "Assistant: I'm good thanks, how are you?\n",
    "User: Can you set the color of my room to be red?\n",
    "Assistant: {{\"action\": \"set_room_color\", \"action_input\": \"#FF0000\"}}\n",
    "User: That looks great, but can you set room color to green instead?\n",
    "Assistant: {{\"action\": \"set_room_color\", \"action_input\": \"#00FF00\"}}\n",
    "User: Maybe my room would look better if the color was blue.\n",
    "Assistant: {{\"action\": \"set_room_color\", \"action_input\": \"#0000FF\"}}\n",
    "User: Please set my room lighting to the color of a tree.\n",
    "Assistant: {{\"action\": \"set_room_color\", \"action_input\": \"#31D45B\"}}\n",
    "User: Thanks, Bye!\n",
    "Assistant: See you later.\n",
    "<</SYS>>\n",
    "\n",
    "{0}[/INST]'''"
   ]
  },
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   "execution_count": 5,
   "id": "1279aff0-48d9-4587-8fdc-6c0800cb6133",
   "metadata": {},
   "outputs": [],
   "source": [
    "def set_room_color(hex):\n",
    "    # We would make a call to our smart-home API here, instead just drawing a colored square\n",
    "    display(HTML('<div style=\"width: 100px; height: 100px; background-color: ' + hex + '\"></div>'))"
   ]
  },
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   "cell_type": "code",
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   "id": "7ec49b3a-74ca-4714-b591-43c76076add3",
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   "source": [
    "def process_command(command):\n",
    "    # Put user command into prompt (in future projects we'll be re-injecting whole chat history here)\n",
    "    prompt = prompt_template.format(\"User: \" + command)\n",
    "    # Send command to the model\n",
    "    output = llm(prompt, stop=[\"User:\"])\n",
    "    response = output['choices'][0]['text']\n",
    "\n",
    "    # try to find json in the response\n",
    "    try:\n",
    "        # Extract json from model response by finding first and last brackets {}\n",
    "        firstBracketIndex = response.index(\"{\")\n",
    "        lastBracketIndex = len(response) - response[::-1].index(\"}\")\n",
    "        jsonString = response[firstBracketIndex:lastBracketIndex]\n",
    "        responseJson = json.loads(jsonString)\n",
    "        if responseJson['action'] == 'set_room_color':\n",
    "            set_room_color(responseJson['action_input'])\n",
    "            return 'Room color set to ' + responseJson['action_input'] + '.' \n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "    # No json match, just return response\n",
    "    return response"
   ]
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     "output_type": "stream",
     "text": [
      "Llama.generate: prefix-match hit\n"
     ]
    },
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     "data": {
      "text/html": [
       "<div style=\"width: 100px; height: 100px; background-color: #FFA07A\"></div>"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
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    },
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     "data": {
      "text/plain": [
       "'Room color set to #FFA07A.'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "process_command(\"Can you make my room lighting orange please?\")"
   ]
  },
  {
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   "execution_count": 8,
   "id": "075d87cf-bb59-4461-93bd-68cea780c304",
   "metadata": {},
   "outputs": [
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     "output_type": "stream",
     "text": [
      "Llama.generate: prefix-match hit\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "substring not found\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'  Hello! My name is Assistant. How can I assist you today? 😊'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "process_command(\"What is your name?\")"
   ]
  },
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   "execution_count": 9,
   "id": "4a54b933-e408-4a6a-8115-f9bee860592d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Llama.generate: prefix-match hit\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div style=\"width: 100px; height: 100px; background-color: #FFC900\"></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'Room color set to #FFC900.'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "process_command(\"Please set the lights to a happy color.\")"
   ]
  },
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   "execution_count": null,
   "id": "525e4520-1968-43c8-9eab-a65afbe04f28",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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Thank you for the simplistic explanation.