# PromptTemplate


## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**name** | **str** | A name of the prompt template. | [optional] 
**description** | **str** | A description of the prompt template. | [optional] 
**lang** | **str** | A language code. | [optional] 
**system_prompt** | **str** | A system prompt. | [optional] 
**pre_prompt_query** | **str** | A text that is prepended before the contextual document chunks. | [optional] 
**prompt_query** | **str** | A text that is appended to the beginning of the user's message. | [optional] 
**hyde_no_rag_llm_prompt_extension** | **str** | An LLM prompt extension. | [optional] 
**pre_prompt_summary** | **str** | A prompt that goes before each large piece of text to summarize. | [optional] 
**prompt_summary** | **str** | A prompt that goes after each large piece of text to summarize. | [optional] 
**system_prompt_reflection** | **str** | A system prompt for self-reflection. | [optional] 
**prompt_reflection** | **str** | A template for self-reflection, must contain two occurrences of %s for full previous prompt (including system prompt, document related context and prompts if applicable, and user prompts) and answer | [optional] 
**auto_gen_description_prompt** | **str** | A prompt to create a description of the collection. | [optional] 
**auto_gen_document_summary_pre_prompt_summary** | **str** | A `pre_prompt_summary` for summary of a freshly imported document (if enabled). | [optional] 
**auto_gen_document_summary_prompt_summary** | **str** | A `prompt_summary` for summary of a freshly imported document (if enabled).` | [optional] 
**auto_gen_document_sample_questions_prompt** | **str** | A prompt to create sample questions for a freshly imported document (if enabled). | [optional] 
**default_sample_questions** | **List[str]** | Default sample questions in case there are no auto-generated sample questions. | [optional] 
**image_batch_image_prompt** | **str** | A prompt for each image batch for vision models. | [optional] 
**image_batch_final_prompt** | **str** | A prompt for each image batch for vision models. | [optional] 
**id** | **str** | A unique identifier of the prompt template. | 
**is_default** | **bool** | A flag identifying if the prompt template is default or not. | 
**user_count** | **int** | A number of users having access to the prompt template. | [optional] 
**username** | **str** | Name of the user owning the prompt template. | [optional] 
**updated_at** | **datetime** | The Last time when the prompt template was modified. | [optional] 

## Example

```python
from h2ogpte.rest.models.prompt_template import PromptTemplate

# TODO update the JSON string below
json = "{}"
# create an instance of PromptTemplate from a JSON string
prompt_template_instance = PromptTemplate.from_json(json)
# print the JSON string representation of the object
print(PromptTemplate.to_json())

# convert the object into a dict
prompt_template_dict = prompt_template_instance.to_dict()
# create an instance of PromptTemplate from a dict
prompt_template_from_dict = PromptTemplate.from_dict(prompt_template_dict)
```