Give Feedback

pydo.genai.detach_agent_function()

Generated on 9 Jun 2026 from pydo version v0.36.0

Copy page as Markdown View page as Markdown

Usage

client.genai.detach_agent_function(
    agent_uuid="\"123e4567-e89b-12d3-a456-426614174000\"",
    function_uuid="\"123e4567-e89b-12d3-a456-426614174000\"",
)

Returns JSONRaises HttpResponseError

Description

To delete a function route from an agent, send a DELETE request to /v2/gen-ai/agents/{agent_uuid}/functions/{function_uuid}.

Parameters

agent_uuid string required: The id of the agent the function route belongs to.
function_uuid string required: The function route to be destroyed. This does not destroy the function itself.

Response Example

Show Response 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": [],
    "api_keys": [],
    "chatbot": {
      "allowed_domains": [
        "example string"
      ],
      "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": [],
    "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": [],
    "guardrails": [],
    "if_case": "example string",
    "instruction": "example string",
    "k": 123,
    "knowledge_bases": [],
    "logging_config": {
      "galileo_project_id": "123e4567-e89b-12d3-a456-426614174000",
      "galileo_project_name": "example name",
      "insights_enabled": true,
      "insights_enabled_at": "2023-01-01T00:00:00Z",
      "log_stream_id": "123e4567-e89b-12d3-a456-426614174000",
      "log_stream_name": "example name"
    },
    "max_tokens": 123,
    "mcp_servers": [],
    "model": {
      "capabilities": [
        "example string"
      ],
      "context_window": "12345",
      "created_at": "2023-01-01T00:00:00Z",
      "endpoints": [],
      "inference_name": "example name",
      "inference_version": "example string",
      "is_foundational": true,
      "kb_default_chunk_size": 123,
      "kb_max_chunk_size": 123,
      "kb_min_chunk_size": 123,
      "lifecycle_status": "example string",
      "name": "example name",
      "parameter_count": 123,
      "parent_uuid": "123e4567-e89b-12d3-a456-426614174000",
      "provider": "MODEL_PROVIDER_DIGITALOCEAN",
      "reasoning_efforts": [
        "example string"
      ],
      "settings": [],
      "thinking": true,
      "type": "example string",
      "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"
    },
    "model_provider_key": {
      "api_key_uuid": "123e4567-e89b-12d3-a456-426614174000",
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "deleted_at": "2023-01-01T00:00:00Z",
      "models": [],
      "name": "example name",
      "provider": "MODEL_PROVIDER_DIGITALOCEAN",
      "updated_at": "2023-01-01T00:00:00Z"
    },
    "model_router": {
      "created_at": "2023-01-01T00:00:00Z",
      "description": "example string",
      "name": "example name",
      "regions": [
        "example string"
      ],
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    },
    "name": "example name",
    "openai_api_key": {
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "deleted_at": "2023-01-01T00:00:00Z",
      "models": [],
      "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,
    "reasoning_effort": "example string",
    "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": [],
      "instruction": "example string",
      "k": 123,
      "knowledge_bases": [],
      "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,
      "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"
    },
    "thinking_token_budget": 123,
    "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",
    "vpc_egress_ips": [
      "example string"
    ],
    "vpc_uuid": "\"12345678-1234-1234-1234-123456789012\"",
    "workspace": {
      "agents": [],
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "created_by_email": "[email protected]",
      "deleted_at": "2023-01-01T00:00:00Z",
      "description": "example string",
      "evaluation_test_cases": [],
      "name": "example name",
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    }
  }
}

More Information

See /v2/gen-ai/agents/{agent_uuid}/functions/{function_uuid} in the API reference for additional detail on responses, headers, parameters, and more.