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docs: add vertexai to structured output (#20171)
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@ -66,7 +66,9 @@
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"source": [
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"## OpenAI\n",
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"\n",
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"OpenAI exposes a few different ways to get structured outputs."
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"OpenAI exposes a few different ways to get structured outputs. \n",
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"\n",
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"[API reference](https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html#langchain_openai.chat_models.base.ChatOpenAI.with_structured_output)"
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]
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},
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{
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@ -96,8 +98,8 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"model = ChatOpenAI()\n",
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"model_with_structure = model.with_structured_output(Joke)"
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"model = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
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"structured_llm = model.with_structured_output(Joke)"
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]
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},
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{
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@ -118,7 +120,7 @@
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}
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],
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"source": [
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"model_with_structure.invoke(\"Tell me a joke about cats\")"
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"structured_llm.invoke(\"Tell me a joke about cats\")"
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]
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},
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{
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@ -138,7 +140,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"model_with_structure = model.with_structured_output(Joke, method=\"json_mode\")"
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"structured_llm = model.with_structured_output(Joke, method=\"json_mode\")"
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]
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},
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{
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@ -159,7 +161,7 @@
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}
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],
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"source": [
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"model_with_structure.invoke(\n",
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"structured_llm.invoke(\n",
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" \"Tell me a joke about cats, respond in JSON with `setup` and `punchline` keys\"\n",
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")"
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]
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@ -171,7 +173,9 @@
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"source": [
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"## Fireworks\n",
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"\n",
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"[Fireworks](https://fireworks.ai/) similarly supports function calling and JSON mode for select models."
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"[Fireworks](https://fireworks.ai/) similarly supports function calling and JSON mode for select models.\n",
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"\n",
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"[API reference](https://api.python.langchain.com/en/latest/chat_models/langchain_fireworks.chat_models.ChatFireworks.html#langchain_fireworks.chat_models.ChatFireworks.with_structured_output)"
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]
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},
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{
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@ -202,7 +206,7 @@
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"outputs": [],
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"source": [
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"model = ChatFireworks(model=\"accounts/fireworks/models/firefunction-v1\")\n",
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"model_with_structure = model.with_structured_output(Joke)"
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"structured_llm = model.with_structured_output(Joke)"
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]
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},
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{
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@ -223,7 +227,7 @@
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}
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],
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"source": [
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"model_with_structure.invoke(\"Tell me a joke about cats\")"
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"structured_llm.invoke(\"Tell me a joke about cats\")"
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]
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},
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{
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@ -243,7 +247,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"model_with_structure = model.with_structured_output(Joke, method=\"json_mode\")"
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"structured_llm = model.with_structured_output(Joke, method=\"json_mode\")"
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]
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},
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{
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@ -264,7 +268,7 @@
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}
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],
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"source": [
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"model_with_structure.invoke(\n",
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"structured_llm.invoke(\n",
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" \"Tell me a joke about dogs, respond in JSON with `setup` and `punchline` keys\"\n",
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")"
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]
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@ -276,7 +280,9 @@
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"source": [
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"## Mistral\n",
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"\n",
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"We also support structured output with Mistral models, although we only support function calling."
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"We also support structured output with Mistral models, although we only support function calling.\n",
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"\n",
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"[API reference](https://api.python.langchain.com/en/latest/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html#langchain_mistralai.chat_models.ChatMistralAI.with_structured_output)"
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]
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},
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{
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@ -297,7 +303,7 @@
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"outputs": [],
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"source": [
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"model = ChatMistralAI(model=\"mistral-large-latest\")\n",
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"model_with_structure = model.with_structured_output(Joke)"
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"structured_llm = model.with_structured_output(Joke)"
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]
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},
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{
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@ -307,7 +313,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"model_with_structure.invoke(\"Tell me a joke about cats\")"
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"structured_llm.invoke(\"Tell me a joke about cats\")"
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]
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},
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{
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@ -344,7 +350,7 @@
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" api_key=os.environ[\"TOGETHER_API_KEY\"],\n",
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" model=\"mistralai/Mixtral-8x7B-Instruct-v0.1\",\n",
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")\n",
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"model_with_structure = model.with_structured_output(Joke)"
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"structured_llm = model.with_structured_output(Joke)"
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]
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},
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{
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@ -365,7 +371,7 @@
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}
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],
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"source": [
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"model_with_structure.invoke(\"Tell me a joke about cats\")"
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"structured_llm.invoke(\"Tell me a joke about cats\")"
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]
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},
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{
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@ -375,7 +381,9 @@
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"source": [
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"## Groq\n",
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"\n",
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"Groq provides an OpenAI-compatible function calling API"
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"Groq provides an OpenAI-compatible function calling API.\n",
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"\n",
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"[API reference](https://api.python.langchain.com/en/latest/chat_models/langchain_groq.chat_models.ChatGroq.html#langchain_groq.chat_models.ChatGroq.with_structured_output)"
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]
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},
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{
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@ -415,7 +423,7 @@
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],
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"source": [
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"model = ChatGroq()\n",
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"model_with_structure = model.with_structured_output(Joke)"
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"structured_llm = model.with_structured_output(Joke)"
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]
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},
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{
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@ -436,7 +444,7 @@
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}
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],
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"source": [
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"model_with_structure.invoke(\"Tell me a joke about cats\")"
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"structured_llm.invoke(\"Tell me a joke about cats\")"
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]
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},
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{
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@ -456,7 +464,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"model_with_structure = model.with_structured_output(Joke, method=\"json_mode\")"
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"structured_llm = model.with_structured_output(Joke, method=\"json_mode\")"
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]
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},
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{
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@ -477,7 +485,7 @@
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}
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],
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"source": [
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"model_with_structure.invoke(\n",
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"structured_llm.invoke(\n",
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" \"Tell me a joke about cats, respond in JSON with `setup` and `punchline` keys\"\n",
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")"
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]
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@ -489,7 +497,9 @@
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"source": [
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"## Anthropic\n",
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"\n",
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"Anthropic's tool-calling API can be used for structuring outputs. Note that there is currently no way to force a tool-call via the API, so prompting the model correctly is still important."
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"Anthropic's tool-calling API can be used for structuring outputs. Note that there is currently no way to force a tool-call via the API, so prompting the model correctly is still important.\n",
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"\n",
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"[API reference](https://api.python.langchain.com/en/latest/chat_models/langchain_anthropic.chat_models.ChatAnthropic.html#langchain_anthropic.chat_models.ChatAnthropic.with_structured_output)"
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]
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},
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{
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@ -512,19 +522,54 @@
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"source": [
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"from langchain_anthropic import ChatAnthropic\n",
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"\n",
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"model = ChatAnthropic(\n",
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" model=\"claude-3-opus-20240229\",\n",
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")\n",
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"model_with_structure = model.with_structured_output(Joke)\n",
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"model_with_structure.invoke(\"Tell me a joke about cats\")"
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"model = ChatAnthropic(model=\"claude-3-opus-20240229\", temperature=0)\n",
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"structured_llm = model.with_structured_output(Joke)\n",
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"structured_llm.invoke(\"Tell me a joke about cats. Make sure to call the Joke function.\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6c797e2d-3115-4ca2-9c2f-e853bdc7956d",
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"metadata": {},
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"source": [
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"# Vertex AI\n",
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"\n",
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"Google's Gemini models support [function-calling](https://ai.google.dev/docs/function_calling), which we can access via Vertex AI and use for structuring outputs.\n",
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"\n",
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"[API reference](https://api.python.langchain.com/en/latest/chat_models/langchain_google_vertexai.chat_models.ChatVertexAI.html#langchain_google_vertexai.chat_models.ChatVertexAI.with_structured_output)"
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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": 7,
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"id": "24421189-02bf-4589-a91a-197584c4a696",
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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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"Joke(setup='A cat-ch', punchline='What do you call a cat that loves to play fetch?')"
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]
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},
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"execution_count": 7,
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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 langchain_google_vertexai import ChatVertexAI\n",
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"\n",
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"llm = ChatVertexAI(model=\"gemini-pro\", temperature=0)\n",
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"structured_llm = llm.with_structured_output(Joke)\n",
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"structured_llm.invoke(\"Tell me a joke about cats\")"
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]
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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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"display_name": "poetry-venv-2",
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"language": "python",
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"name": "python3"
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"name": "poetry-venv-2"
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},
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"language_info": {
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"codemirror_mode": {
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