Get a specific LLM configuration by ID

GET

/api/v2/organizations/llm-configs/{config_id}

This endpoint allows clients to retrieve detailed information about a specific Large Language Model (LLM) configuration by its unique identifier.
It provides comprehensive details about the configuration, including model name, deployment details, and other relevant parameters.

Path Parameters:

config_id (int): The ID of the LLM configuration to retrieve.

Query Parameters:

param_override (str): Optional JSON object selecting one label per option
group, e.g. {"effort": "high"}. The matching patch is deep-merged into the
returned parameters. Unknown groups, unknown labels, and malformed values are
ignored, so a stale selection returns the stored parameters rather than an
error. Omit it to receive parameters exactly as stored.

Returns:

A detailed description of the specified LLM configuration.

Current Version: 2.1.1

Changelog:

2.1.0: user_options field added to the response, highlighting what configurable parameters are paired to model.

2.1.1: user_options is now the flattened picker from the linked profile, and the optional param_override query parameter resolves a selection into the returned parameters.

Request

Path Params

Query Params

Header Params

Responses

🟢200OK

application/json

Success

Bodyapplication/json

🟠400Bad Request

🟠403Record Not Found

🟠404Server Error

🔴500

🔴503

Request Example

Shell

JavaScript

Java

Swift

curl --location --globoff 'https:///api/v2/organizations/llm-configs/?param_override={%22effort%22%3A%20%22high%22}' \
--header 'Organization-Id;' \
--header 'Ocp-Apim-Subscription-Key: ' \
--header 'Authorization: Bearer '

Response Example

200 - LLM config detail

{
    "success": true,
    "message": "LLM configuration retrieved successfully",
    "data": {
        "id": 1,
        "organization": 1,
        "model_name": "claude-opus-4-8",
        "model_provider": "anthropic",
        "model_deployment": [
            "chat"
        ],
        "api_key": "sk-ant-...",
        "endpoint": "https://api.anthropic.com/v1/messages",
        "release_date": "2025-01-01",
        "temperature": 0.7,
        "top_p": 1,
        "max_tokens": 8096,
        "reasoning_effort": "medium",
        "type": "Anthropic",
        "context_length": 200000,
        "pricing": 0.015,
        "supports_function_calling": true,
        "is_reasoning_model": true,
        "is_enabled": true,
        "is_default": true,
        "tokens_per_minute": 40000,
        "requests_per_minute": 50,
        "parameters": {
            "model": "claude-opus-4-8",
            "model_provider": "anthropic",
            "api_key": "<your-api-key>",
            "base_url": "https://<resource>.services.ai.azure.com/anthropic/",
            "thinking": {
                "type": "adaptive",
                "display": "omitted"
            },
            "max_tokens": 64000,
            "output_config": {
                "effort": "medium"
            }
        },
        "user_options": {
            "effort": {
                "labels": [
                    "minimal",
                    "low",
                    "medium",
                    "high"
                ],
                "default": "medium"
            }
        },
        "parent": null,
        "created_on": "2025-01-01T00:00:00Z",
        "modified_on": "2026-06-01T00:00:00Z"
    }
}

Update LLM Configuration