Create
Create an Agent
post/v2/gen-ai/agents
To create a new agent, send a POST request to /v2/gen-ai/agents. The response body contains a JSON object with the newly created agent object.
Body Parameters
anthropic_key_uuidstring
optional
Optional Anthropic API key ID to use with Anthropic models
descriptionstring
optional
A text description of the agent, not used in inference
instructionstring
optional
Agent instruction. Instructions help your agent to perform its job effectively. See Write Effective Agent Instructions for best practices.
knowledge_base_uuidarray of string
optional
Ids of the knowledge base(s) to attach to the agent
model_uuidstring
optional
Identifier for the foundation model.
namestring
optional
Agent name
open_ai_key_uuidstring
optional
Optional OpenAI API key ID to use with OpenAI models
project_idstring
optional
The id of the DigitalOcean project this agent will belong to
regionstring
optional
The DigitalOcean region to deploy your agent in
Returns
agentanthropic_api_keyAPIAnthropicAPIKeyInfoapi_key_infosarray of APIAgentAPIKeyInfoapi_keysarray of objectchatbotobjectchatbot_identifiersarray of objectchild_agentsarray of APIAgentconversation_logs_enabledbooleancreated_atstringdeploymentobjectdescriptionstringfunctionsarray of objectguardrailsarray of objectif_casestringinstructionstringknumberknowledge_basesarray of APIKnowledgeBaselogging_configobjectmax_tokensnumbermodelAPIAgentModelnamestringopenai_api_keyAPIOpenAIAPIKeyInfoparent_agentsarray of APIAgentproject_idstringprovide_citationsbooleanregionstringretrieval_methodAPIRetrievalMethodroute_created_atstringroute_created_bystringroute_namestringroute_uuidstringtagsarray of stringtemperaturenumbertemplateobjecttop_pnumberupdated_atstringurlstringuser_idstringuuidstringversion_hashstringworkspaceAPIWorkspaceAPIAgent
optional
An Agent
curl https://api.digitalocean.com//v2/gen-ai/agents \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer $GRADIENTAI_API_KEY"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\""
}
}