Detach
Detach Knowledge Base from an Agent
agents.knowledge_bases.detach(strknowledge_base_uuid, KnowledgeBaseDetachParams**kwargs) -> agentAPIAgentKnowledgeBaseDetachResponse
delete/v2/gen-ai/agents/{agent_uuid}/knowledge_bases/{knowledge_base_uuid}
To detach a knowledge base from an agent, send a DELETE request to /v2/gen-ai/agents/{agent_uuid}/knowledge_bases/{knowledge_base_uuid}.
Parameters
agent_uuidstr
knowledge_base_uuidstr
Returns
KnowledgeBaseDetachResponseclass
Informatinon about a unlinked knowledge base
from do_gradientai import GradientAI
client = GradientAI()
response = client.agents.knowledge_bases.detach(
knowledge_base_uuid="\"123e4567-e89b-12d3-a456-426614174000\"",
agent_uuid="\"123e4567-e89b-12d3-a456-426614174000\"",
)
print(response.agent)200 Example
{
"agent": {
"anthropic_api_key": {
"created_at": "2023-01-01T00:00:00Z",
"created_by": "\"12345\"",
"deleted_at": "2023-01-01T00:00:00Z",
"name": "\"example name\"",
"updated_at": "2023-01-01T00:00:00Z",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
},
"api_key_infos": [
{
"created_at": "2023-01-01T00:00:00Z",
"created_by": "\"12345\"",
"deleted_at": "2023-01-01T00:00:00Z",
"name": "\"example name\"",
"secret_key": "\"example string\"",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
}
],
"api_keys": [
{
"api_key": "\"example string\""
}
],
"chatbot": {
"button_background_color": "\"example string\"",
"logo": "\"example string\"",
"name": "\"example name\"",
"primary_color": "\"example string\"",
"secondary_color": "\"example string\"",
"starting_message": "\"example string\""
},
"chatbot_identifiers": [
{
"agent_chatbot_identifier": "\"123e4567-e89b-12d3-a456-426614174000\""
}
],
"child_agents": [],
"conversation_logs_enabled": true,
"created_at": "2023-01-01T00:00:00Z",
"deployment": {
"created_at": "2023-01-01T00:00:00Z",
"name": "\"example name\"",
"status": "STATUS_UNKNOWN",
"updated_at": "2023-01-01T00:00:00Z",
"url": "\"example string\"",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"visibility": "VISIBILITY_UNKNOWN"
},
"description": "\"example string\"",
"functions": [
{
"api_key": "\"example string\"",
"created_at": "2023-01-01T00:00:00Z",
"created_by": "\"12345\"",
"description": "\"example string\"",
"faas_name": "\"example name\"",
"faas_namespace": "\"example name\"",
"input_schema": {},
"name": "\"example name\"",
"output_schema": {},
"updated_at": "2023-01-01T00:00:00Z",
"url": "\"example string\"",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
}
],
"guardrails": [
{
"agent_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"created_at": "2023-01-01T00:00:00Z",
"default_response": "\"example string\"",
"description": "\"example string\"",
"guardrail_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"is_attached": true,
"is_default": true,
"metadata": {},
"name": "\"example name\"",
"priority": 123,
"type": "GUARDRAIL_TYPE_UNKNOWN",
"updated_at": "2023-01-01T00:00:00Z",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
}
],
"if_case": "\"example string\"",
"instruction": "\"example string\"",
"k": 123,
"knowledge_bases": [
{
"added_to_agent_at": "2023-01-01T00:00:00Z",
"created_at": "2023-01-01T00:00:00Z",
"database_id": "\"123e4567-e89b-12d3-a456-426614174000\"",
"embedding_model_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"is_public": true,
"last_indexing_job": {
"completed_datasources": 123,
"created_at": "2023-01-01T00:00:00Z",
"data_source_uuids": [
"example string"
],
"finished_at": "2023-01-01T00:00:00Z",
"knowledge_base_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"phase": "BATCH_JOB_PHASE_UNKNOWN",
"started_at": "2023-01-01T00:00:00Z",
"status": "INDEX_JOB_STATUS_UNKNOWN",
"tokens": 123,
"total_datasources": 123,
"updated_at": "2023-01-01T00:00:00Z",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
},
"name": "\"example name\"",
"project_id": "\"123e4567-e89b-12d3-a456-426614174000\"",
"region": "\"example string\"",
"tags": [
"example string"
],
"updated_at": "2023-01-01T00:00:00Z",
"user_id": "user_id",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
}
],
"logging_config": {
"galileo_project_id": "\"123e4567-e89b-12d3-a456-426614174000\"",
"galileo_project_name": "\"example name\"",
"log_stream_id": "\"123e4567-e89b-12d3-a456-426614174000\"",
"log_stream_name": "\"example name\""
},
"max_tokens": 123,
"model": {
"agreement": {
"description": "\"example string\"",
"name": "\"example name\"",
"url": "\"example string\"",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
},
"created_at": "2023-01-01T00:00:00Z",
"inference_name": "\"example name\"",
"inference_version": "\"example string\"",
"is_foundational": true,
"metadata": {},
"name": "\"example name\"",
"parent_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"provider": "MODEL_PROVIDER_DIGITALOCEAN",
"updated_at": "2023-01-01T00:00:00Z",
"upload_complete": true,
"url": "\"example string\"",
"usecases": [
"MODEL_USECASE_AGENT",
"MODEL_USECASE_GUARDRAIL"
],
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"version": {
"major": 123,
"minor": 123,
"patch": 123
}
},
"name": "\"example name\"",
"openai_api_key": {
"created_at": "2023-01-01T00:00:00Z",
"created_by": "\"12345\"",
"deleted_at": "2023-01-01T00:00:00Z",
"models": [
{
"agreement": {
"description": "\"example string\"",
"name": "\"example name\"",
"url": "\"example string\"",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
},
"created_at": "2023-01-01T00:00:00Z",
"inference_name": "\"example name\"",
"inference_version": "\"example string\"",
"is_foundational": true,
"metadata": {},
"name": "\"example name\"",
"parent_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"provider": "MODEL_PROVIDER_DIGITALOCEAN",
"updated_at": "2023-01-01T00:00:00Z",
"upload_complete": true,
"url": "\"example string\"",
"usecases": [
"MODEL_USECASE_AGENT",
"MODEL_USECASE_GUARDRAIL"
],
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"version": {
"major": 123,
"minor": 123,
"patch": 123
}
}
],
"name": "\"example name\"",
"updated_at": "2023-01-01T00:00:00Z",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
},
"parent_agents": [],
"project_id": "\"123e4567-e89b-12d3-a456-426614174000\"",
"provide_citations": true,
"region": "\"example string\"",
"retrieval_method": "RETRIEVAL_METHOD_UNKNOWN",
"route_created_at": "2023-01-01T00:00:00Z",
"route_created_by": "\"12345\"",
"route_name": "\"example name\"",
"route_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"tags": [
"example string"
],
"temperature": 123,
"template": {
"created_at": "2023-01-01T00:00:00Z",
"description": "\"example string\"",
"guardrails": [
{
"priority": 123,
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
}
],
"instruction": "\"example string\"",
"k": 123,
"knowledge_bases": [
{
"added_to_agent_at": "2023-01-01T00:00:00Z",
"created_at": "2023-01-01T00:00:00Z",
"database_id": "\"123e4567-e89b-12d3-a456-426614174000\"",
"embedding_model_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"is_public": true,
"last_indexing_job": {
"completed_datasources": 123,
"created_at": "2023-01-01T00:00:00Z",
"data_source_uuids": [
"example string"
],
"finished_at": "2023-01-01T00:00:00Z",
"knowledge_base_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"phase": "BATCH_JOB_PHASE_UNKNOWN",
"started_at": "2023-01-01T00:00:00Z",
"status": "INDEX_JOB_STATUS_UNKNOWN",
"tokens": 123,
"total_datasources": 123,
"updated_at": "2023-01-01T00:00:00Z",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
},
"name": "\"example name\"",
"project_id": "\"123e4567-e89b-12d3-a456-426614174000\"",
"region": "\"example string\"",
"tags": [
"example string"
],
"updated_at": "2023-01-01T00:00:00Z",
"user_id": "user_id",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
}
],
"long_description": "\"Enhance your customer service with an AI agent designed to provide consistent, helpful, and accurate support across multiple channels. This template creates an agent that can answer product questions, troubleshoot common issues, process simple requests, and maintain a friendly, on-brand voice throughout customer interactions. Reduce response times, handle routine inquiries efficiently, and ensure your customers feel heard and helped.\"",
"max_tokens": 123,
"model": {
"agreement": {
"description": "\"example string\"",
"name": "\"example name\"",
"url": "\"example string\"",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
},
"created_at": "2023-01-01T00:00:00Z",
"inference_name": "\"example name\"",
"inference_version": "\"example string\"",
"is_foundational": true,
"metadata": {},
"name": "\"example name\"",
"parent_uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"provider": "MODEL_PROVIDER_DIGITALOCEAN",
"updated_at": "2023-01-01T00:00:00Z",
"upload_complete": true,
"url": "\"example string\"",
"usecases": [
"MODEL_USECASE_AGENT",
"MODEL_USECASE_GUARDRAIL"
],
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"version": {
"major": 123,
"minor": 123,
"patch": 123
}
},
"name": "\"example name\"",
"short_description": "\"This template has been designed with question-answer and conversational use cases in mind. It comes with validated agent instructions, fine-tuned model settings, and preconfigured guardrails defined for customer support-related use cases.\"",
"summary": "\"example string\"",
"tags": [
"example string"
],
"temperature": 123,
"template_type": "AGENT_TEMPLATE_TYPE_STANDARD",
"top_p": 123,
"updated_at": "2023-01-01T00:00:00Z",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\""
},
"top_p": 123,
"updated_at": "2023-01-01T00:00:00Z",
"url": "\"example string\"",
"user_id": "\"12345\"",
"uuid": "\"123e4567-e89b-12d3-a456-426614174000\"",
"version_hash": "\"example string\""
}
}