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docs: tool call run model (#23609)
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@ -116,7 +116,7 @@
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 5,
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"source": [
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@ -164,22 +164,14 @@
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"# | output: false\n",
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"# | echo: false\n",
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"\n",
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"%pip install -qU langchain langchain_openai\n",
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"%pip install -qU langchain_openai\n",
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"\n",
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"import os\n",
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"from getpass import getpass\n",
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@ -193,18 +185,33 @@
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_z9fCZJPE8AmtnIiD08Q6Najb', 'function': {'arguments': '{\"a\":3,\"b\":12}', 'name': 'Multiply'}, 'type': 'function'}]}, response_metadata={'token_usage': {'completion_tokens': 18, 'prompt_tokens': 95, 'total_tokens': 113}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'tool_calls', 'logprobs': None}, id='run-7564c56a-3760-41f0-94fa-5c646bb11e60-0', tool_calls=[{'name': 'Multiply', 'args': {'a': 3, 'b': 12}, 'id': 'call_z9fCZJPE8AmtnIiD08Q6Najb'}], usage_metadata={'input_tokens': 95, 'output_tokens': 18, 'total_tokens': 113})"
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]
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},
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"execution_count": 8,
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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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"llm_with_tools = llm.bind_tools(tools)"
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"llm_with_tools = llm.bind_tools(tools)\n",
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"\n",
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"query = \"What is 3 * 12?\"\n",
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"\n",
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"llm_with_tools.invoke(query)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"As we can see, even though the prompt didn't really suggest a tool call, our LLM made one since it was forced to do so. You can look at the docs for [`bind_tool`](https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.base.BaseChatOpenAI.html#langchain_openai.chat_models.base.BaseChatOpenAI.bind_tools) to learn about all the ways to customize how your LLM selects tools."
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"As we can see, even though the prompt didn't really suggest a tool call, our LLM made one since it was forced to do so. You can look at the docs for [bind_tools()](https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.base.BaseChatOpenAI.html#langchain_openai.chat_models.base.BaseChatOpenAI.bind_tools) to learn about all the ways to customize how your LLM selects tools."
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]
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},
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{
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@ -311,10 +318,24 @@
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"name": "python"
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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