v2
OpenAPI 3.0.02026-08-051996591.2 MBList generation presets
Lists the generation presets used for query requests. The platform creates and maintains predefined generation presets. A generation preset groups several properties that configure generation for a request. This includes the prompt_template, the Large Language Model (LLM), and other generation settings like max_tokens and temperature. Each preset includes a complete Velocity template for the prompt. Presets are typically associated with a single LLM.
Specify a generation preset in query or chat requests with the generation_preset_name field.
Generation presets object
The generation_presets object contains the name, description, llm_name, prompt_template, and other fields that make up the preset.
If your account has access to a preset, enabled is set to true. A preset can also be set as a default.
Example generation presets response
{
"generation_presets": [
{
"name": "vectara-summary-ext-24-05-med-omni",
"description": "Generate summary with controllable citations, Uses GPT-4o with 2,048 max tokens",
"llm_name": "gpt-4o",
"prompt_template": "[\n {\"role\": \"system\", \"content\": \"Follow these detailed step-by-step",
"max_used_search_results": 25,
"max_tokens": 2048,
"temperature": 0,
"frequency_penalty": 0,
"presence_penalty": 0,
"enabled": true,
"default": false
}
]
}
Query parameters
Filter presets by the LLM name.
A regular expression to match names and descriptions of the generation presets.
The maximum number of results to return in the list.
The opaque cursor returned in metadata.page_key of the previous response. Omit it to fetch the first page.
Headers
The platform makes a best effort to complete the request in the specified seconds, or it times out.
The platform makes a best effort to complete the request in the specified milliseconds, or it times out.
Response
List of Generation Presets.
Example response
{
"generation_presets": [
{
"id": "gnp_123",
"name": "Mockingbird 2.0",
"description": "Mockingbird LLM 2.0 prompt for summarizing query results as an answer. Designed for RAG.",
"llm_name": "mockingbird-2.0",
"max_used_search_results": 50,
"max_tokens": 500,
"temperature": 0.4,
"frequency_penalty": 0.2,
"presence_penalty": 0.2,
"ownership": "platform"
}
],
"metadata": {
"page_key": "eyJvZmZzZXQiOjF9"
}
}