LLM

Total endpoints: 3 Example base URL: https://<ROBOT_IP>/rest Required access varies by endpoint (see each section).

Get Llm Config

Endpoint: /api/v2/llm_config/
Function: Get llm config.
Method: GET
Access: ADMIN
Parameters: none
Shell Command:

curl -L "https://<ROBOT_IP>/rest/api/v2/llm_config/" \
  -H "Authorization: Bearer <token>"

Python Command:

import requests

url = "https://<ROBOT_IP>/rest/api/v2/llm_config/"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers, timeout=10)

print(response.status_code)
print(response.json())

Response Example (200):

{
  "model": "gpt-4.1-mini",
  "provider": "OpenAI"
}

Update Llm Config

Endpoint: /api/v2/llm_config/
Function: Update llm config.
Method: PATCH
Access: ADMIN
Parameters:
data (body, dict)
Shell Command:

curl -X PATCH "https://<ROBOT_IP>/rest/api/v2/llm_config/" \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  -d '{"key": "value"}'

Python Command:

import requests

url = "https://<ROBOT_IP>/rest/api/v2/llm_config/"
headers = {"Authorization": "Bearer <token>"}
json_payload = {'key': 'value'}
response = requests.patch(url, headers=headers, json=json_payload, timeout=10)

print(response.status_code)
print(response.json())

Response Example (200):

{
  "message": "LLM config updated successfully.",
  "config": {
    "model": "gpt-4.1-mini"
  }
}

Get Llm Providers

Endpoint: /api/v2/llm_providers/
Function: Get llm providers.
Method: GET
Access: USER
Parameters: none
Shell Command:

curl -L "https://<ROBOT_IP>/rest/api/v2/llm_providers/" \
  -H "Authorization: Bearer <token>"

Python Command:

import requests

url = "https://<ROBOT_IP>/rest/api/v2/llm_providers/"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers, timeout=10)

print(response.status_code)
print(response.json())

Response Example (200):

[
  "OpenAI",
  "MistralAI"
]