chore: import upstream snapshot with attribution
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# Copyright (c) Microsoft. All rights reserved.
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import logging
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from collections.abc import Callable
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from typing import TYPE_CHECKING, Any
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from pybars import Compiler, PybarsError
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from pydantic import PrivateAttr, field_validator
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from semantic_kernel.exceptions import HandlebarsTemplateRenderException, HandlebarsTemplateSyntaxError
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from semantic_kernel.functions.kernel_arguments import KernelArguments
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from semantic_kernel.prompt_template.const import HANDLEBARS_TEMPLATE_FORMAT_NAME
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from semantic_kernel.prompt_template.prompt_template_base import PromptTemplateBase
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from semantic_kernel.prompt_template.utils import HANDLEBAR_SYSTEM_HELPERS, create_template_helper_from_function
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if TYPE_CHECKING:
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from semantic_kernel.kernel import Kernel
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from semantic_kernel.prompt_template.prompt_template_config import PromptTemplateConfig
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logger: logging.Logger = logging.getLogger(__name__)
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class HandlebarsPromptTemplate(PromptTemplateBase):
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"""Create a Handlebars prompt template.
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Handlebars are parsed as a whole and therefore do not have variables that can be extracted,
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also with handlebars there is no distinction in syntax between a variable and a value,
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a value that is encountered is tried to resolve with the arguments and the functions,
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if not found, the literal value is returned.
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Args:
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prompt_template_config (PromptTemplateConfig): The prompt template configuration
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This is checked if the template format is 'handlebars'
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allow_dangerously_set_content (bool = False): Allow content without encoding throughout, this overrides
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the same settings in the prompt template config and input variables.
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This reverts the behavior to unencoded input.
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Raises:
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ValueError: If the template format is not 'handlebars'
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HandlebarsTemplateSyntaxError: If the handlebars template has a syntax error
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"""
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_template_compiler: Any = PrivateAttr()
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@field_validator("prompt_template_config")
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@classmethod
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def validate_template_format(cls, v: "PromptTemplateConfig") -> "PromptTemplateConfig":
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"""Validate the template format."""
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if v.template_format != HANDLEBARS_TEMPLATE_FORMAT_NAME:
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raise ValueError(f"Invalid prompt template format: {v.template_format}. Expected: handlebars")
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return v
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def model_post_init(self, __context: Any) -> None:
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"""Post init model."""
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if not self.prompt_template_config.template:
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self._template_compiler = None
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return
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try:
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self._template_compiler = Compiler().compile(self.prompt_template_config.template)
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except PybarsError as e:
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logger.error(f"Invalid handlebars template: {self.prompt_template_config.template}")
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raise HandlebarsTemplateSyntaxError(
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f"Invalid handlebars template: {self.prompt_template_config.template}"
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) from e
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async def render(self, kernel: "Kernel", arguments: "KernelArguments | None" = None) -> str:
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"""Render the prompt template.
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Using the prompt template, replace the variables with their values
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and execute the functions replacing their reference with the
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function result.
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Args:
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kernel: The kernel instance
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arguments: The kernel arguments
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Returns:
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The prompt template ready to be used for an AI request
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"""
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if not self._template_compiler:
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return ""
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if arguments is None:
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arguments = KernelArguments()
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arguments = self._get_trusted_arguments(arguments)
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allow_unsafe_function_output = self._get_allow_dangerously_set_function_output()
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helpers: dict[str, Callable[..., Any]] = {}
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for plugin in kernel.plugins.values():
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helpers.update({
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function.fully_qualified_name: create_template_helper_from_function(
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function,
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kernel,
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arguments,
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self.prompt_template_config.template_format,
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allow_unsafe_function_output,
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)
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for function in plugin
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})
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helpers.update(HANDLEBAR_SYSTEM_HELPERS)
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try:
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return self._template_compiler(
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arguments,
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helpers=helpers,
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)
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except PybarsError as exc:
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logger.error(
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f"Error rendering prompt template: {self.prompt_template_config.template} with arguments: {arguments}"
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)
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raise HandlebarsTemplateRenderException(
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f"Error rendering prompt template: {self.prompt_template_config.template} "
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f"with arguments: {arguments}: error: {exc}"
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) from exc
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