index.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "60650229",
   "metadata": {},
   "source": [
    "# cosette\n",
    "\n",
    "> Cosette is Claudette's sister, a helper for OpenAI GPT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c148b709",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "\n",
    "from nbdev import show_doc\n",
    "from fastcore.utils import *\n",
    "from IPython import display"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5117a7f",
   "metadata": {},
   "source": [
    "## Install"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03ad7175",
   "metadata": {},
   "source": [
    "```sh\n",
    "pip install cosette\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05db4443",
   "metadata": {},
   "source": [
    "## Getting started"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d45538a",
   "metadata": {},
   "source": [
    "OpenAI's Python SDK will automatically be installed with Cosette, if you don't already have it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c049838",
   "metadata": {},
   "outputs": [],
   "source": [
    "from cosette import *"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cef8451",
   "metadata": {},
   "source": [
    "Cosette only exports the symbols that are needed to use the library, so you can use `import *` to import them. Alternatively, just use:\n",
    "\n",
    "```python\n",
    "import cosette\n",
    "```\n",
    "\n",
    "...and then add the prefix `cosette.` to any usages of the module.\n",
    "\n",
    "Cosette provides `models`, which is a list of models currently available from the SDK."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cfd8f432",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('o1-preview',\n",
       " 'o1-mini',\n",
       " 'gpt-4o',\n",
       " 'gpt-4o-mini',\n",
       " 'gpt-4-turbo',\n",
       " 'gpt-4',\n",
       " 'gpt-4-32k',\n",
       " 'gpt-3.5-turbo',\n",
       " 'gpt-3.5-turbo-instruct',\n",
       " 'o1',\n",
       " 'o3-mini',\n",
       " 'chatgpt-4o-latest')"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "models"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e98439f",
   "metadata": {},
   "source": [
    "For these examples, we'll use GPT-4o."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8dde0ab6",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = models[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff6f6471-8061-4fdd-85a1-25fdc27c5cf3",
   "metadata": {},
   "source": [
    "## Chat"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a124328f",
   "metadata": {},
   "source": [
    "The main interface to Cosette is the `Chat` class, which provides a stateful interface to the models:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d92fe1f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Hi Jeremy! How can I assist you today?\n",
       "\n",
       "<details>\n",
       "\n",
       "- id: chatcmpl-AxxPi7CxP8htRrhdq9LCsxpify0PZ\n",
       "- choices: [Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='Hi Jeremy! How can I assist you today?', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))]\n",
       "- created: 1738853102\n",
       "- model: gpt-4o-2024-08-06\n",
       "- object: chat.completion\n",
       "- service_tier: default\n",
       "- system_fingerprint: fp_4691090a87\n",
       "- usage: CompletionUsage(completion_tokens=11, prompt_tokens=21, total_tokens=32, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))\n",
       "\n",
       "</details>"
      ],
      "text/plain": [
       "ChatCompletion(id='chatcmpl-AxxPi7CxP8htRrhdq9LCsxpify0PZ', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='Hi Jeremy! How can I assist you today?', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1738853102, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=In: 21; Out: 11; Total: 32)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat = Chat(model, sp=\"\"\"You are a helpful and concise assistant.\"\"\")\n",
    "chat(\"I'm Jeremy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "775e570f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "You mentioned that your name is Jeremy.\n",
       "\n",
       "<details>\n",
       "\n",
       "- id: chatcmpl-AxxPjt6ssVIPEdoLxwAiZm8gPBbmA\n",
       "- choices: [Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='You mentioned that your name is Jeremy.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))]\n",
       "- created: 1738853103\n",
       "- model: gpt-4o-2024-08-06\n",
       "- object: chat.completion\n",
       "- service_tier: default\n",
       "- system_fingerprint: fp_4691090a87\n",
       "- usage: CompletionUsage(completion_tokens=9, prompt_tokens=43, total_tokens=52, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))\n",
       "\n",
       "</details>"
      ],
      "text/plain": [
       "ChatCompletion(id='chatcmpl-AxxPjt6ssVIPEdoLxwAiZm8gPBbmA', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='You mentioned that your name is Jeremy.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1738853103, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=In: 43; Out: 9; Total: 52)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = chat(\"What's my name?\")\n",
    "r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f6f0e71",
   "metadata": {},
   "source": [
    "As you see above, displaying the results of a call in a notebook shows just the message contents, with the other details hidden behind a collapsible section. Alternatively you can `print` the details:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50881e3f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ChatCompletion(id='chatcmpl-AxxPjt6ssVIPEdoLxwAiZm8gPBbmA', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='You mentioned that your name is Jeremy.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1738853103, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=In: 43; Out: 9; Total: 52)\n"
     ]
    }
   ],
   "source": [
    "print(r)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4972b119",
   "metadata": {},
   "source": [
    "You can use `stream=True` to stream the results as soon as they arrive (although you will only see the gradual generation if you execute the notebook yourself, of course!)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8949a074",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I'm an AI assistant and don't have a personal name, but you can call me Assistant. How can I help you today, Jeremy?"
     ]
    }
   ],
   "source": [
    "for o in chat(\"What's your name?\", stream=True): print(o, end='')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77d8c61b",
   "metadata": {},
   "source": [
    "## Model Capabilities"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b3991ab",
   "metadata": {},
   "source": [
    "Different OpenAI models have different capabilities. Some models such as o1-mini do not have support for streaming, system prompts, or temperature. Query these capbilities using these functions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "84dcbd0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(False, True, False)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# o1 does not support streaming or setting the temperature\n",
    "can_stream('o1'), can_set_system_prompt('o1'), can_set_temperature('o1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f3ad7de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(True, True, True)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gpt-4o has these capabilities\n",
    "can_stream('gpt-4o'), can_set_system_prompt('gpt-4o'), can_set_temperature('gpt-4o')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f7cfb55",
   "metadata": {},
   "source": [
    "## Tool use"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b24744d5",
   "metadata": {},
   "source": [
    "[Tool use](https://docs.openai.com/claude/docs/tool-use) lets the model use external tools.\n",
    "\n",
    "We use [docments](https://fastcore.fast.ai/docments.html) to make defining Python functions as ergonomic as possible. Each parameter (and the return value) should have a type, and a docments comment with the description of what it is. As an example we'll write a simple function that adds numbers together, and will tell us when it's being called:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9fbfc57",
   "metadata": {},
   "outputs": [],
   "source": [
    "def sums(\n",
    "    a:int,  # First thing to sum\n",
    "    b:int=1 # Second thing to sum\n",
    ") -> int: # The sum of the inputs\n",
    "    \"Adds a + b.\"\n",
    "    print(f\"Finding the sum of {a} and {b}\")\n",
    "    return a + b"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85442960",
   "metadata": {},
   "source": [
    "Sometimes the model will say something like \"according to the `sums` tool the answer is\" -- generally we'd rather it just tells the user the answer, so we can use a system prompt to help with this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3549e7b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "sp = \"Never mention what tools you use.\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3c16c8f",
   "metadata": {},
   "source": [
    "We'll get the model to add up some long numbers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a5bc98a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'What is 604542+6458932?'"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a,b = 604542,6458932\n",
    "pr = f\"What is {a}+{b}?\"\n",
    "pr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0a0b65e",
   "metadata": {},
   "source": [
    "To use tools, pass a list of them to `Chat`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "84bf4c91",
   "metadata": {},
   "outputs": [],
   "source": [
    "chat = Chat(model, sp=sp, tools=[sums])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a9d219f",
   "metadata": {},
   "source": [
    "Now when we call that with our prompt, the model doesn't return the answer, but instead returns a `tool_use` message, which means we have to call the named tool with the provided parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b1e3446",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finding the sum of 604542 and 6458932\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "- id: chatcmpl-AxxPmOn0RKSJDkJJnJFe0fsKqrOnq\n",
       "- choices: [Choice(finish_reason='tool_calls', index=0, logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_pxKfC4xMONCzur2k9X9p6NiT', function=Function(arguments='{\"a\":604542,\"b\":6458932}', name='sums'), type='function')]))]\n",
       "- created: 1738853106\n",
       "- model: gpt-4o-2024-08-06\n",
       "- object: chat.completion\n",
       "- service_tier: default\n",
       "- system_fingerprint: fp_50cad350e4\n",
       "- usage: CompletionUsage(completion_tokens=22, prompt_tokens=86, total_tokens=108, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))"
      ],
      "text/plain": [
       "ChatCompletion(id='chatcmpl-AxxPmOn0RKSJDkJJnJFe0fsKqrOnq', choices=[Choice(finish_reason='tool_calls', index=0, logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_pxKfC4xMONCzur2k9X9p6NiT', function=Function(arguments='{\"a\":604542,\"b\":6458932}', name='sums'), type='function')]))], created=1738853106, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_50cad350e4', usage=In: 86; Out: 22; Total: 108)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = chat(pr)\n",
    "r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7c321d4",
   "metadata": {},
   "source": [
    "Cosette handles all that for us -- we just have to pass along the message, and it all happens automatically:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2399deae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "The sum of 604542 and 6458932 is 7063474.\n",
       "\n",
       "<details>\n",
       "\n",
       "- id: chatcmpl-AxxPnVPUfJiXWCQUpVXIaep48J8Qb\n",
       "- choices: [Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The sum of 604542 and 6458932 is 7063474.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))]\n",
       "- created: 1738853107\n",
       "- model: gpt-4o-2024-08-06\n",
       "- object: chat.completion\n",
       "- service_tier: default\n",
       "- system_fingerprint: fp_4691090a87\n",
       "- usage: CompletionUsage(completion_tokens=19, prompt_tokens=118, total_tokens=137, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))\n",
       "\n",
       "</details>"
      ],
      "text/plain": [
       "ChatCompletion(id='chatcmpl-AxxPnVPUfJiXWCQUpVXIaep48J8Qb', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The sum of 604542 and 6458932 is 7063474.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1738853107, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=In: 118; Out: 19; Total: 137)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "782ddcce",
   "metadata": {},
   "source": [
    "You can see how many tokens have been used at any time by checking the `use` property."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2dbea0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "In: 204; Out: 41; Total: 245"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat.use"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6aae1f5e",
   "metadata": {},
   "source": [
    "### Tool loop"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8daca34f",
   "metadata": {},
   "source": [
    "We can do everything needed to use tools in a single step, by using `Chat.toolloop`. This can even call multiple tools as needed solve a problem. For example, let's define a tool to handle multiplication:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3071fac",
   "metadata": {},
   "outputs": [],
   "source": [
    "def mults(\n",
    "    a:int,  # First thing to multiply\n",
    "    b:int=1 # Second thing to multiply\n",
    ") -> int: # The product of the inputs\n",
    "    \"Multiplies a * b.\"\n",
    "    print(f\"Finding the product of {a} and {b}\")\n",
    "    return a * b"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13cb7206",
   "metadata": {},
   "source": [
    "Now with a single call we can calculate `(a+b)*2` -- by passing `show_trace` we can see each response from the model in the process:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "32c582a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Calculate (604542+6458932)*2'"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat = Chat(model, sp=sp, tools=[sums,mults])\n",
    "pr = f'Calculate ({a}+{b})*2'\n",
    "pr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d91962fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def pchoice(r): print(r.choices[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1db03730",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finding the sum of 604542 and 6458932\n",
      "Finding the product of 2 and 7103474\n",
      "Choice(finish_reason='tool_calls', index=0, logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_Sfet73hgfRtSI2N25K97D7tO', function=Function(arguments='{\"a\": 604542, \"b\": 6458932}', name='sums'), type='function'), ChatCompletionMessageToolCall(id='call_mFQNJgjATAI2pYFFQyvfg0W2', function=Function(arguments='{\"a\": 2, \"b\": 7103474}', name='mults'), type='function')]))\n",
      "Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The result of \\\\((604542 + 6458932) \\\\times 2\\\\) is 14,206,948.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))\n"
     ]
    }
   ],
   "source": [
    "r = chat.toolloop(pr, trace_func=pchoice)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8729cd8",
   "metadata": {},
   "source": [
    "OpenAI uses special tags for math equations, which we can replace using `wrap_latex`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5afe85c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "The result of $(604542 + 6458932) \\times 2$ is 14,206,948."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wrap_latex(contents(r))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a99c5b50",
   "metadata": {},
   "source": [
    "## Images"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0f5297d",
   "metadata": {},
   "source": [
    "As everyone knows, when testing image APIs you have to use a cute puppy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "517fd00e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": null,
     "metadata": {
      "image/jpeg": {
       "width": 200
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fn = Path('samples/puppy.jpg')\n",
    "display.Image(filename=fn, width=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bf7fee4",
   "metadata": {},
   "source": [
    "We create a `Chat` object as before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61690121",
   "metadata": {},
   "outputs": [],
   "source": [
    "chat = Chat(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12899e6d",
   "metadata": {},
   "source": [
    "Claudia expects images as a list of bytes, so we read in the file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e8edb1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "img = fn.read_bytes()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50c32f2a",
   "metadata": {},
   "source": [
    "Prompts to Claudia can be lists, containing text, images, or both, eg:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2f9fd7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "The flowers in the image are purple.\n",
       "\n",
       "<details>\n",
       "\n",
       "- id: chatcmpl-AxxPrQeO00Ks5X93eKJQ1t6Dtqxu6\n",
       "- choices: [Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The flowers in the image are purple.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))]\n",
       "- created: 1738853111\n",
       "- model: gpt-4o-2024-08-06\n",
       "- object: chat.completion\n",
       "- service_tier: default\n",
       "- system_fingerprint: fp_4691090a87\n",
       "- usage: CompletionUsage(completion_tokens=9, prompt_tokens=458, total_tokens=467, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))\n",
       "\n",
       "</details>"
      ],
      "text/plain": [
       "ChatCompletion(id='chatcmpl-AxxPrQeO00Ks5X93eKJQ1t6Dtqxu6', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The flowers in the image are purple.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1738853111, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=In: 458; Out: 9; Total: 467)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat([img, \"In brief, what color flowers are in this image?\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ef6d924",
   "metadata": {},
   "source": [
    "The image is included as input tokens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e275b311",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "In: 458; Out: 9; Total: 467"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat.use"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ea93076",
   "metadata": {},
   "source": [
    "Alternatively, Cosette supports creating a multi-stage chat with separate image and text prompts. For instance, you can pass just the image as the initial prompt (in which case the model will make some general comments about what it sees), and then follow up with questions in additional prompts:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f41b7887",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "This is an image of a Cavalier King Charles Spaniel puppy lying on the grass next to some purple flowers. The puppy has white and brown fur and an adorable expression.\n",
       "\n",
       "<details>\n",
       "\n",
       "- id: chatcmpl-AxxPts6mRTeap94CEPIdf7INa5Xkx\n",
       "- choices: [Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='This is an image of a Cavalier King Charles Spaniel puppy lying on the grass next to some purple flowers. The puppy has white and brown fur and an adorable expression.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))]\n",
       "- created: 1738853113\n",
       "- model: gpt-4o-2024-08-06\n",
       "- object: chat.completion\n",
       "- service_tier: default\n",
       "- system_fingerprint: fp_4691090a87\n",
       "- usage: CompletionUsage(completion_tokens=36, prompt_tokens=447, total_tokens=483, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))\n",
       "\n",
       "</details>"
      ],
      "text/plain": [
       "ChatCompletion(id='chatcmpl-AxxPts6mRTeap94CEPIdf7INa5Xkx', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='This is an image of a Cavalier King Charles Spaniel puppy lying on the grass next to some purple flowers. The puppy has white and brown fur and an adorable expression.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1738853113, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=In: 447; Out: 36; Total: 483)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat = Chat(model)\n",
    "chat(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8925b57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "The puppy is facing towards the camera.\n",
       "\n",
       "<details>\n",
       "\n",
       "- id: chatcmpl-AxxPuqxXMuefTG3ehawZW2rMll6co\n",
       "- choices: [Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The puppy is facing towards the camera.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))]\n",
       "- created: 1738853114\n",
       "- model: gpt-4o-2024-08-06\n",
       "- object: chat.completion\n",
       "- service_tier: default\n",
       "- system_fingerprint: fp_4691090a87\n",
       "- usage: CompletionUsage(completion_tokens=9, prompt_tokens=497, total_tokens=506, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))\n",
       "\n",
       "</details>"
      ],
      "text/plain": [
       "ChatCompletion(id='chatcmpl-AxxPuqxXMuefTG3ehawZW2rMll6co', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The puppy is facing towards the camera.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1738853114, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=In: 497; Out: 9; Total: 506)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat('What direction is the puppy facing?')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f19a2b54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "The puppy is white with brown markings.\n",
       "\n",
       "<details>\n",
       "\n",
       "- id: chatcmpl-AxxPw64bsATMHf3a5Rzal8WjqgHRM\n",
       "- choices: [Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The puppy is white with brown markings.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))]\n",
       "- created: 1738853116\n",
       "- model: gpt-4o-2024-08-06\n",
       "- object: chat.completion\n",
       "- service_tier: default\n",
       "- system_fingerprint: fp_4691090a87\n",
       "- usage: CompletionUsage(completion_tokens=9, prompt_tokens=518, total_tokens=527, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0))\n",
       "\n",
       "</details>"
      ],
      "text/plain": [
       "ChatCompletion(id='chatcmpl-AxxPw64bsATMHf3a5Rzal8WjqgHRM', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='The puppy is white with brown markings.', refusal=None, role='assistant', audio=None, function_call=None, tool_calls=None))], created=1738853116, model='gpt-4o-2024-08-06', object='chat.completion', service_tier='default', system_fingerprint='fp_4691090a87', usage=In: 518; Out: 9; Total: 527)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat('What color is it?')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a1c1112",
   "metadata": {},
   "source": [
    "Note that the image is passed in again for every input in the dialog, so that number of input tokens increases quickly with this kind of chat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "48258e8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "In: 1462; Out: 54; Total: 1516"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat.use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45b936b6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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