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core[patch], community[patch], openai[patch]: consolidate openai tool… (#16485)
… converters One way to convert anything to an OAI function: convert_to_openai_function One way to convert anything to an OAI tool: convert_to_openai_tool Corresponding bind functions on OAI models: bind_functions, bind_tools
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@@ -1,44 +1,6 @@
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"""Different methods for rendering Tools to be passed to LLMs.
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Depending on the LLM you are using and the prompting strategy you are using,
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you may want Tools to be rendered in a different way.
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This module contains various ways to render tools.
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"""
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from langchain_core.tools import BaseTool
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from langchain_community.utils.openai_functions import (
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FunctionDescription,
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ToolDescription,
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convert_pydantic_to_openai_function,
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from langchain_core.utils.function_calling import (
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format_tool_to_openai_function,
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format_tool_to_openai_tool,
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)
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def format_tool_to_openai_function(tool: BaseTool) -> FunctionDescription:
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"""Format tool into the OpenAI function API."""
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if tool.args_schema:
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return convert_pydantic_to_openai_function(
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tool.args_schema, name=tool.name, description=tool.description
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)
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else:
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return {
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"name": tool.name,
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"description": tool.description,
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"parameters": {
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# This is a hack to get around the fact that some tools
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# do not expose an args_schema, and expect an argument
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# which is a string.
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# And Open AI does not support an array type for the
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# parameters.
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"properties": {
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"__arg1": {"title": "__arg1", "type": "string"},
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},
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"required": ["__arg1"],
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"type": "object",
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},
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}
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def format_tool_to_openai_tool(tool: BaseTool) -> ToolDescription:
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"""Format tool into the OpenAI function API."""
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function = format_tool_to_openai_function(tool)
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return {"type": "function", "function": function}
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__all__ = ["format_tool_to_openai_function", "format_tool_to_openai_tool"]
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