Typesense · Schema
ConversationModelCreateSchema
Full-Text SearchOpen SourceSearch EngineTypo ToleranceVector Search
Properties
| Name | Type | Description |
|---|---|---|
| model_name | string | Name of the LLM model to use, such as gpt-4o, claude-3-opus, or a model hosted on a compatible endpoint. |
| api_key | string | API key for authenticating with the LLM provider. |
| account_id | string | Account ID for the LLM provider if required. |
| system_prompt | string | System prompt that instructs the LLM how to generate answers from the search results context. This prompt is prepended to every conversation. |
| max_bytes | integer | Maximum number of bytes of search context to send to the LLM. |
| history_collection | string | Name of the collection to store conversation history. |
| ttl | integer | Time-to-live in seconds for conversation history entries. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/ConversationModelCreateSchema",
"title": "ConversationModelCreateSchema",
"type": "object",
"required": [
"model_name",
"api_key",
"system_prompt"
],
"properties": {
"model_name": {
"type": "string",
"description": "Name of the LLM model to use, such as gpt-4o, claude-3-opus, or a model hosted on a compatible endpoint."
},
"api_key": {
"type": "string",
"description": "API key for authenticating with the LLM provider."
},
"account_id": {
"type": "string",
"description": "Account ID for the LLM provider if required."
},
"system_prompt": {
"type": "string",
"description": "System prompt that instructs the LLM how to generate answers from the search results context. This prompt is prepended to every conversation."
},
"max_bytes": {
"type": "integer",
"description": "Maximum number of bytes of search context to send to the LLM."
},
"history_collection": {
"type": "string",
"description": "Name of the collection to store conversation history."
},
"ttl": {
"type": "integer",
"description": "Time-to-live in seconds for conversation history entries."
}
}
}