PromptTemplateBase Class
Base class for prompt templates.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- Inheritance
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PromptTemplateBasePromptTemplateBase
Constructor
PromptTemplateBase(*, prompt_template_config: PromptTemplateConfig, allow_dangerously_set_content: bool = False)
Keyword-Only Parameters
Name | Description |
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prompt_template_config
Required
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allow_dangerously_set_content
Required
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Methods
render |
Render the prompt template. |
render
Render the prompt template.
abstract async render(kernel: Kernel, arguments: KernelArguments) -> str
Parameters
Name | Description |
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kernel
Required
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arguments
Required
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Attributes
model_computed_fields
A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}
model_config
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'populate_by_name': True, 'validate_assignment': True}
model_fields
Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.
This replaces Model.fields from Pydantic V1.
model_fields: ClassVar[Dict[str, FieldInfo]] = {'allow_dangerously_set_content': FieldInfo(annotation=bool, required=False, default=False), 'prompt_template_config': FieldInfo(annotation=PromptTemplateConfig, required=True)}
allow_dangerously_set_content
allow_dangerously_set_content: bool
prompt_template_config
prompt_template_config: PromptTemplateConfig