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docs: add structred output to feat table (#20539)

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Bagatur 2024-04-16 19:14:26 -07:00 committed by GitHub
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2 changed files with 50 additions and 15 deletions
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14
docs/docs/modules/model_io/chat/structured_output.ipynb
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@ -86,7 +86,7 @@
"id": "deddb6d3",
"metadata": {},
"source": [
"### Function Calling\n",
"#### Tool/function Calling\n",
"\n",
"By default, we will use `function_calling`"
]
@ -128,7 +128,7 @@
"id": "39d7a555",
"metadata": {},
"source": [
"### JSON Mode\n",
"#### JSON Mode\n",
"\n",
"We also support JSON mode. Note that we need to specify in the prompt the format that it should respond in."
]
@ -193,7 +193,7 @@
"id": "36270ed5",
"metadata": {},
"source": [
"### Function Calling\n",
"#### Tool/function Calling\n",
"\n",
"By default, we will use `function_calling`"
]
@ -235,7 +235,7 @@
"id": "ddb6b3ba",
"metadata": {},
"source": [
"### JSON Mode\n",
"#### JSON Mode\n",
"\n",
"We also support JSON mode. Note that we need to specify in the prompt the format that it should respond in."
]
@ -401,7 +401,7 @@
"id": "6b7e97a6",
"metadata": {},
"source": [
"### Function Calling\n",
"#### Tool/function Calling\n",
"\n",
"By default, we will use `function_calling`"
]
@ -452,7 +452,7 @@
"id": "a82c2f55",
"metadata": {},
"source": [
"### JSON Mode\n",
"#### JSON Mode\n",
"\n",
"We also support JSON mode. Note that we need to specify in the prompt the format that it should respond in."
]
@ -532,7 +532,7 @@
"id": "6c797e2d-3115-4ca2-9c2f-e853bdc7956d",
"metadata": {},
"source": [
"# Vertex AI\n",
"## Google Vertex AI\n",
"\n",
"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",
"\n",

51
docs/scripts/model_feat_table.py
View File

@ -20,13 +20,46 @@ CHAT_MODEL_FEAT_TABLE_CORRECTION = {
"ChatMLflowAIGateway": {"_agenerate": False},
"PromptLayerChatOpenAI": {"_stream": False, "_astream": False},
"ChatKonko": {"_astream": False, "_agenerate": False},
"ChatAnthropic": {"tool_calling": True, "package": "langchain-anthropic"},
"ChatMistralAI": {"tool_calling": True, "package": "langchain-mistralai"},
"ChatFireworks": {"tool_calling": True, "package": "langchain-fireworks"},
"ChatOpenAI": {"tool_calling": True, "package": "langchain-openai"},
"ChatVertexAI": {"tool_calling": True, "package": "langchain-google-vertexai"},
"ChatGroq": {"tool_calling": "partial", "package": "langchain-groq"},
"ChatCohere": {"tool_calling": "partial", "package": "langchain-cohere"},
"ChatAnthropic": {
"tool_calling": True,
"structured_output": True,
"package": "langchain-anthropic",
},
"ChatMistralAI": {
"tool_calling": True,
"structured_output": True,
"package": "langchain-mistralai",
},
"ChatFireworks": {
"tool_calling": True,
"structured_output": True,
"package": "langchain-fireworks",
},
"AzureChatOpenAI": {
"tool_calling": True,
"structured_output": True,
"package": "langchain-openai",
},
"ChatOpenAI": {
"tool_calling": True,
"structured_output": True,
"package": "langchain-openai",
},
"ChatVertexAI": {
"tool_calling": True,
"structured_output": True,
"package": "langchain-google-vertexai",
},
"ChatGroq": {
"tool_calling": "partial",
"structured_output": True,
"package": "langchain-groq",
},
"ChatCohere": {
"tool_calling": "partial",
"structured_output": True,
"package": "langchain-cohere",
},
}
@ -152,6 +185,7 @@ def get_chat_model_table() -> str:
"_stream",
"_astream",
"tool_calling",
"structured_output",
"package",
]
title = [
@ -160,7 +194,8 @@ def get_chat_model_table() -> str:
"Async invoke",
"Stream",
"Async stream",
"Tool calling",
"[Tool calling](/docs/modules/model_io/chat/function_calling/)",
"[Structured output](/docs/modules/model_io/chat/structured_output/)",
"Python Package",
]
rows = [title, [":-"] + [":-:"] * (len(title) - 1)]