使用 Microsoft Entra ID 创建自定义模型
- Updated: 2025/10/16
本主题概述了在 AI Agent Studio 中为自定义模型定义配置 Microsoft Entra ID（前身为 Azure AD）身份验证的步骤，从而实现您的模型与 Automation 360 的无缝集成。
仅通过 OAuth2 身份验证支持 Entra ID，当与要求基于 Entra 的访问令牌的 Microsoft 托管模型集成时，必须使用此方法。
- 当目标模型供应商仅支持 OAuth2 身份验证时，请使用 Entra ID。
- 当无法将 API 密钥身份验证与 OAuth2 并行使用时，Azure 托管服务通常会出现这种情况。
- 例如，Azure OpenAI 模型默认采用 API 密钥身份验证，但如果您的安全要求通过 Entra ID 强制执行 OAuth2，则必须通过自定义模型定义路径配置该模型。
要下载并使用 Postman 集合（Entra ID 示例），请单击此链接 Postman 集合 - Entra ID 示例。
先决条件
- 启用 Entra ID 的 Azure 账户。 收集所需的详细信息：
- 客户端 ID
- 客户端密钥
- 授权 URL
- 令牌 URL
- 使用 Entra ID 配置 OAuth 连接。 有关详细信息，请参阅 Microsoft Entra ID 配置。
为什么要使用自定义模型和 Entra ID？
Azure OpenAI 在用户界面中支持 API 密钥身份验证；如果需要 OAuth2/Entra ID，请通过 Custom Model API 进行定义，因为每个供应商在用户界面中一次只能公开一种身份验证机制。
过程
使用 Entra ID 的自定义模型定义
以下是针对 Azure OpenAI GPT-4.1 mini 部署，使用 Entra OAuth2 的简化示例：
POST https:/{{ControlRoomURL}}/gai/prompttools/v1/custommodel
请求正文：
{
"name": "AAI Docs Example - Entra",
"version": "0",
"authAction": {
"authType": "OAUTH2",
"oAuth": {
"location": "header",
"keyName": "Authorization",
"prefix": "Bearer "
}
},
"apiType": "REST",
"actions": [
{
"name": "gpt-4.1-mini",
"displayName": "GPT-4.1 mini",
"description": "GPT-4.1 mini provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases.",
"method": "POST",
"uri": "https://{resourceName}.openai.azure.com/openai/deployments/{deployment}/chat/completions?api-version={apiVersion}",
"params": [
{
"type": "PATH_PARAM",
"attribute": [
{
"name": "resourceName",
"label": "Resource Name",
"value": {
"type": "TEXT",
"string": "genaitemplateplatformeastca"
}
}
]
},
{
"type": "PATH_PARAM",
"attribute": [
{
"name": "deployment",
"label": "Deployment",
"value": {
"type": "TEXT",
"string": "deploy-gpt-4.1"
}
}
]
},
{
"type": "PATH_PARAM",
"attribute": [
{
"name": "apiVersion",
"label": "API Version",
"value": {
"type": "TEXT",
"string": "2025-01-01-preview"
}
}
]
}
],
"request": {
"raw": {
"body": "{\"model\": \"gpt-4.1\",\"messages\":[{\"role\":\"system\",\"content\":\"system prompt\"},{\"role\":\"user\",\"content\":\"some prompt query\"}],\"max_completion_tokens\":500}",
"variables": [
{
"path": "$.max_completion_tokens",
"attribute": {
"name": "max_completion_tokens",
"label": "Max tokens",
"value": {
"type": "INTEGER",
"number": "2048"
},
"annotations": [
"MODEL_PARAMETER"
],
"canonicalName": "choices[0].completionTokens"
}
},
{
"path": "$.messages[1].content",
"attribute": {
"name": "prompt",
"label": "prompt",
"value": {
"type": "TEXT"
},
"annotations": [
"PROMPT_QUERY"
]
}
},
{
"path": "$.messages[0].content",
"attribute": {
"name": "systemPrompt",
"label": "System Prompt",
"value": {
"type": "TEXT"
},
"annotations": [
"SYSTEM_PROMPT_MESSAGE"
]
}
}
]
}
},
"response": {
"body": "{\n \"id\": \"chatcmpl-APwQdLa9WCQAdZg0dO5OjGr2ER4sX\",\n \"object\": \"chat.completion\",\n \"created\": 1730746163,\n \"model\": \"o3-mini-2025-01-31\",\n \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"Sure! They are one of the most mysterious and exciting objects in space.\",\n \"refusal\": null\n },\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": 17,\n \"completion_tokens\": 959,\n \"total_tokens\": 976,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 64\n }\n },\n \"system_fingerprint\": \"fp_35c19d48ca\"\n}",
"variables": [
{
"path": "$.usage.completion_tokens",
"attribute": {
"name": "completion_tokens",
"label": "completion_tokens",
"value": {
"type": "INTEGER"
},
"annotations": [
"RESPONSE_PARAMETER"
],
"canonicalName": "choices[0].completionTokens"
}
},
{
"path": "$.choices[0].message.content",
"attribute": {
"name": "content",
"label": "content",
"value": {
"type": "TEXT",
"string": "Some response from LLM"
},
"annotations": [
"RESPONSE_PARAMETER"
],
"canonicalName": "choices[0].value"
}
},
{
"path": "$.model",
"attribute": {
"name": "model",
"label": "model",
"value": {
"type": "TEXT"
},
"annotations": [
"RESPONSE_PARAMETER"
],
"canonicalName": "model_name"
}
},
{
"path": "$.usage.prompt_tokens",
"attribute": {
"name": "prompt_tokens",
"label": "prompt_tokens",
"value": {
"type": "INTEGER"
},
"annotations": [
"RESPONSE_PARAMETER"
],
"canonicalName": "choices[0].promptTokens"
}
},
{
"path": "$.usage.total_tokens",
"attribute": {
"name": "total_tokens",
"label": "total_tokens",
"value": {
"type": "INTEGER"
},
"annotations": [
"RESPONSE_PARAMETER"
],
"canonicalName": "choices[0].totalTokens"
}
}
]
}
}
]
}