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docs: api ref to new site somewheres (#25679)

Browse Source 
```
https://api\.python\.langchain\.com/en/latest/([^/]*)/langchain_([^.]*)\.(.*)\.html([^"]*)
https://python.langchain.com/v0.2/api_reference/$2/$1/langchain_$2.$3.html$4
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
This commit is contained in:
Erick Friis
2024-08-23 10:01:16 -07:00
committed by GitHub
parent 6a60a2a435
commit 580fbd9ada
217 changed files with 612 additions and 618 deletions
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8
docs/docs/how_to/extraction_examples.ipynb
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@@ -16,11 +16,11 @@
"also with JSON more or prompt based techniques.\n",
":::\n",
"\n",
"LangChain implements a [tool-call attribute](https://api.python.langchain.com/en/latest/messages/langchain_core.messages.ai.AIMessage.html#langchain_core.messages.ai.AIMessage.tool_calls) on messages from LLMs that include tool calls. See our [how-to guide on tool calling](/docs/how_to/tool_calling) for more detail. To build reference examples for data extraction, we build a chat history containing a sequence of: \n",
"LangChain implements a [tool-call attribute](https://python.langchain.com/v0.2/api_reference/core/messages/langchain_core.messages.ai.AIMessage.html#langchain_core.messages.ai.AIMessage.tool_calls) on messages from LLMs that include tool calls. See our [how-to guide on tool calling](/docs/how_to/tool_calling) for more detail. To build reference examples for data extraction, we build a chat history containing a sequence of: \n",
"\n",
"- [HumanMessage](https://api.python.langchain.com/en/latest/messages/langchain_core.messages.human.HumanMessage.html) containing example inputs;\n",
"- [AIMessage](https://api.python.langchain.com/en/latest/messages/langchain_core.messages.ai.AIMessage.html) containing example tool calls;\n",
"- [ToolMessage](https://api.python.langchain.com/en/latest/messages/langchain_core.messages.tool.ToolMessage.html) containing example tool outputs.\n",
"- [HumanMessage](https://python.langchain.com/v0.2/api_reference/core/messages/langchain_core.messages.human.HumanMessage.html) containing example inputs;\n",
"- [AIMessage](https://python.langchain.com/v0.2/api_reference/core/messages/langchain_core.messages.ai.AIMessage.html) containing example tool calls;\n",
"- [ToolMessage](https://python.langchain.com/v0.2/api_reference/core/messages/langchain_core.messages.tool.ToolMessage.html) containing example tool outputs.\n",
"\n",
"LangChain adopts this convention for structuring tool calls into conversation across LLM model providers.\n",
"\n",