Create a new agent configuration. All agent configuration must be provided within the system_config object. The name field in the config is required and will be used to derive the agent_key.
Request Body Complete agent configuration object Show system_config Properties
Agent name (used to derive agent_key)
Type of agent (e.g., “llm_agent”)
Instructions defining agent behavior
LLM configuration settings Show llm_config Properties
Model to use (e.g., “gpt-4o”)
Response randomness (0.0-1.0)
Connected knowledge bases for retrieval
Available tools (e.g., [“tavily_search”])
curl -X POST https://api-be.atthene.com/api/v1/agent/ \ -H "x-api-key: YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "system_config": { "name": "Support Agent", "agent_type": "llm_agent", "system_prompt": "You are a helpful customer support agent.", "llm_config": { "model": "gpt-4o", "temperature": 0.7 } } }'
Response Returns the created agent configuration:
{ "id" : "550e8400-e29b-41d4-a716-446655440001" , "agent_key" : "support_agent" , "name" : "Support Agent" , "architecture" : "llm_agent" , "entry_point" : "main" , "is_public" : false , "is_shared" : false , "origin_url" : null , "owner" : "user_123" , "company" : "company_456" , "system_config" : { "name" : "Support Agent" , "agent_type" : "llm_agent" , "system_prompt" : "You are a helpful customer support agent." , "llm_config" : { "model" : "gpt-4o" , "temperature" : 0.7 , "max_tokens" : 1000 }, "knowledge_bases" : [ { "name" : "support_docs" , "knowledge_base_type" : "milvus" , "knowledge_base_id" : "kb_123" } ] }, "version_number" : "1.0.0" , "config_hash" : "b2c3d4e5f6a7" , "created_at" : "2025-01-15T10:30:00Z" , "updated_at" : "2025-01-15T10:30:00Z" } The agent_key is automatically derived from the agent name and serves as a unique identifier for the agent.
