glm-5.3-flash

最后更新：2026-11-14

POSThttps://www.sagelib.com/chat/completions

glm-5.3-flash 模型的聊天生成接口，OpenAI兼容，支持多轮上下文、流式输出、工具调用、结构化输出等。

接口鉴权方式请参考：API接入与鉴权

请求参数

请求头

参数名称 描述
*Authorization string 鉴权令牌，格式为 Bearer ${AIGATEWAY_TOKEN}
*Content-Type string 默认值：application/json
可选值：application/json
内容类型，固定为 application/json

Body 参数

参数名称 描述
*model string 模型编码，取值 glm-5.3-flash
*messages array 对话上下文数组，支持 system/user/assistant/tool 角色；视觉模型 content 可含 text/image_url/video_url/file 多模态内容块
temperature float 默认值：1
可选值：0.0~1.0
采样温度，值越大输出越随机
top_p float 默认值：0.95
可选值：0.01~1.0
核采样，累积概率阈值
max_tokens integer 可选值：1~131072
最大输出 token 数（128K）
stream boolean 默认值：false
可选值：true、false
是否 SSE 流式输出
thinking object 可选值：type: enabled only
深度思考配置
tools array 工具定义数组，模型可据此发起工具调用
tool_choice string 默认值：auto
可选值：auto
工具选择策略
stop array 停用词列表
response_format object 可选值：json_object
输出格式，支持结构化 JSON 输出
user string 可选值：6-128 characters
终端用户标识

请求示例

curl -v 'https://www.sagelib.com/chat/completions' \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
      }
    ]
  }'

import json
import requests

# Configure base variables
base_url = "https://www.sagelib.com"  # 把 base_url 换成你的网关地址 https://www.sagelib.com
api_key = "***"  # Replace with your Bearer token

url = f"https://www.sagelib.com/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
        }
    ]
}

# Send the POST request
response = requests.post(url, headers=headers, json=data)

# Print the status code and the returned JSON data
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/chat/completions";

        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
                    }
                ]
            }
            """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(url))
                .header("Authorization", "Bearer " + apiKey)
                .header("Content-Type", "application/json")
                .POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody))
                .build();

        try {
            // Use ofInputStream to handle the streaming response
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());

            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) {
                            break;
                        }
                        // Tip: you can bring in Gson or Jackson here to parse the JSON in data and extract delta.content
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/chat/completions"

    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
                    }
                ]
            }
`

    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil {
        fmt.Println("Failed to create request:", err)
        return
    }
    req.Header.Set("Authorization", "Bearer "+apiKey)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        fmt.Println("Request failed:", err)
        return
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    // Pretty-print the returned JSON data
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

curl -v 'https://www.sagelib.com/chat/completions' \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get the weather of a specified city",
          "parameters": {
            "type": "object",
            "properties": {
              "city": {
                "type": "string"
              }
            },
            "required": [
              "city"
            ]
          }
        }
      }
    ]
  }'

import json
import requests

# Configure base variables
base_url = "https://www.sagelib.com"  # 把 base_url 换成你的网关地址 https://www.sagelib.com
api_key = "***"  # Replace with your Bearer token

url = f"https://www.sagelib.com/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": "How is the weather in Beijing today? Please use a tool to query the weather."
        }
    ],
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "get_weather",
                "description": "Get the weather of a specified city",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "city": {
                            "type": "string"
                        }
                    },
                    "required": [
                        "city"
                    ]
                }
            }
        }
    ]
}

# Send the POST request
response = requests.post(url, headers=headers, json=data)

# Print the status code and the returned JSON data
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/chat/completions";

        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
                    }
                ],
                "tools": [
                    {
                        "type": "function",
                        "function": {
                            "name": "get_weather",
                            "description": "Get the weather of a specified city",
                            "parameters": {
                                "type": "object",
                                "properties": {
                                    "city": {
                                        "type": "string"
                                    }
                                },
                                "required": [
                                    "city"
                                ]
                            }
                        }
                    }
                ]
            }
            """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(url))
                .header("Authorization", "Bearer " + apiKey)
                .header("Content-Type", "application/json")
                .POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody))
                .build();

        try {
            // Use ofInputStream to handle the streaming response
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());

            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) {
                            break;
                        }
                        // Tip: you can bring in Gson or Jackson here to parse the JSON in data and extract delta.content
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/chat/completions"

    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
                    }
                ],
                "tools": [
                    {
                        "type": "function",
                        "function": {
                            "name": "get_weather",
                            "description": "Get the weather of a specified city",
                            "parameters": {
                                "type": "object",
                                "properties": {
                                    "city": {
                                        "type": "string"
                                    }
                                },
                                "required": [
                                    "city"
                                ]
                            }
                        }
                    }
                ]
            }
`

    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil {
        fmt.Println("Failed to create request:", err)
        return
    }
    req.Header.Set("Authorization", "Bearer "+apiKey)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        fmt.Println("Request failed:", err)
        return
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    // Pretty-print the returned JSON data
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

curl -v 'https://www.sagelib.com/chat/completions' \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "Describe the main content of this image."
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "${image_url}"
            }
          }
        ]
      }
    ]
  }'

import json
import requests

# Configure base variables
base_url = "https://www.sagelib.com"  # 把 base_url 换成你的网关地址 https://www.sagelib.com
api_key = "***"  # Replace with your Bearer token

url = f"https://www.sagelib.com/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Describe the main content of this image."
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "${image_url}"
                    }
                }
            ]
        }
    ]
}

# Send the POST request
response = requests.post(url, headers=headers, json=data)

# Print the status code and the returned JSON data
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/chat/completions";

        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": [
                            {
                                "type": "text",
                                "text": "Describe the main content of this image."
                            },
                            {
                                "type": "image_url",
                                "image_url": {
                                    "url": "${image_url}"
                                }
                            }
                        ]
                    }
                ]
            }
            """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(url))
                .header("Authorization", "Bearer " + apiKey)
                .header("Content-Type", "application/json")
                .POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody))
                .build();

        try {
            // Use ofInputStream to handle the streaming response
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());

            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) {
                            break;
                        }
                        // Tip: you can bring in Gson or Jackson here to parse the JSON in data and extract delta.content
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/chat/completions"

    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": [
                            {
                                "type": "text",
                                "text": "Describe the main content of this image."
                            },
                            {
                                "type": "image_url",
                                "image_url": {
                                    "url": "${image_url}"
                                }
                            }
                        ]
                    }
                ]
            }
`

    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil {
        fmt.Println("Failed to create request:", err)
        return
    }
    req.Header.Set("Authorization", "Bearer "+apiKey)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        fmt.Println("Request failed:", err)
        return
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    // Pretty-print the returned JSON data
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

响应参数

Body 参数

参数名称 描述
id string 响应 ID
model string 模型名 glm-5.3-flash
object string chat.completion
choices array
usage object
    prompt_tokens integer 输入 token 数
    completion_tokens integer 输出 token 数
    completion_tokens_details object
        reasoning_tokens integer 思考 token 数
    prompt_tokens_details object
        cached_tokens integer 缓存命中 token 数
POSThttps://www.sagelib.com/anthropic/v1/messages

glm-5.3-flash 模型的聊天生成接口，Anthropic直连，支持多轮上下文、流式输出、工具调用、结构化输出等。

接口鉴权方式请参考：API接入与鉴权

请求参数

请求头

参数名称 描述
*Content-Type string 可选值：application/json
application/json
*anthropic-version string 可选值：2023-06-01
Anthropic API 版本号，固定为 2023-06-01
*X-Api-Key string 鉴权令牌，格式为 ${AIGATEWAY_TOKEN}

Body 参数

参数名称 描述
*model string 模型编码，取值 glm-5.3-flash
*messages array 对话上下文数组，支持 user/assistant 角色；content 可含 text/image/video 多模态内容块
temperature float 默认值：1
可选值：0.0~1.0
采样温度，值越大输出越随机
top_p float 默认值：0.95
可选值：0.01~1.0
核采样，累积概率阈值
*max_tokens integer 可选值：1~131072
最大输出 token 数（128K）
stream boolean 默认值：false
可选值：true、false
是否 SSE 流式输出
thinking object 可选值：type: enabled only
深度思考配置
tools array 工具定义数组，模型可据此发起工具调用
tool_choice string 默认值：auto
可选值：auto
工具选择策略
system string Anthropic 协议顶层系统提示词
stop_sequences array Anthropic 协议停止序列
metadata object 附加元数据键值对

请求示例

curl -v 'https://www.sagelib.com/anthropic/messages' \
  -H "x-api-key: ***" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
      }
    ]
  }'

import json
import requests

base_url = "https://www.sagelib.com"
api_key = "***"
url = f"https://www.sagelib.com/anthropic/messages"
headers = {"x-api-key": api_key, "anthropic-version": "2023-06-01", "Content-Type": "application/json"}
data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
        }
    ]
}
response = requests.post(url, headers=headers, json=data)
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/anthropic/messages";
        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
                    }
                ]
            }
            """;
        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder().uri(URI.create(url)).header("x-api-key", apiKey).header("anthropic-version", "2023-06-01").header("Content-Type", "application/json").POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody)).build();
        try {
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());
            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) break;
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) { e.printStackTrace(); }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/anthropic/messages"
    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
                    }
                ]
            }
`
    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil { fmt.Println("Failed to create request:", err); return }
    req.Header.Set("x-api-key", apiKey)
    req.Header.Set("anthropic-version", "2023-06-01")
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil { fmt.Println("Request failed:", err); return }
    defer resp.Body.Close()
    body, _ := io.ReadAll(resp.Body)
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

curl -v 'https://www.sagelib.com/anthropic/messages' \
  -H "x-api-key: ***" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get the weather of a specified city",
          "parameters": {
            "type": "object",
            "properties": {
              "city": {
                "type": "string"
              }
            },
            "required": [
              "city"
            ]
          }
        }
      }
    ]
  }'

import json
import requests

base_url = "https://www.sagelib.com"
api_key = "***"
url = f"https://www.sagelib.com/anthropic/messages"
headers = {"x-api-key": api_key, "anthropic-version": "2023-06-01", "Content-Type": "application/json"}
data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": "How is the weather in Beijing today? Please use a tool to query the weather."
        }
    ],
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "get_weather",
                "description": "Get the weather of a specified city",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "city": {
                            "type": "string"
                        }
                    },
                    "required": [
                        "city"
                    ]
                }
            }
        }
    ]
}
response = requests.post(url, headers=headers, json=data)
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/anthropic/messages";
        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
                    }
                ],
                "tools": [
                    {
                        "type": "function",
                        "function": {
                            "name": "get_weather",
                            "description": "Get the weather of a specified city",
                            "parameters": {
                                "type": "object",
                                "properties": {
                                    "city": {
                                        "type": "string"
                                    }
                                },
                                "required": [
                                    "city"
                                ]
                            }
                        }
                    }
                ]
            }
            """;
        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder().uri(URI.create(url)).header("x-api-key", apiKey).header("anthropic-version", "2023-06-01").header("Content-Type", "application/json").POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody)).build();
        try {
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());
            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) break;
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) { e.printStackTrace(); }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/anthropic/messages"
    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
                    }
                ],
                "tools": [
                    {
                        "type": "function",
                        "function": {
                            "name": "get_weather",
                            "description": "Get the weather of a specified city",
                            "parameters": {
                                "type": "object",
                                "properties": {
                                    "city": {
                                        "type": "string"
                                    }
                                },
                                "required": [
                                    "city"
                                ]
                            }
                        }
                    }
                ]
            }
`
    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil { fmt.Println("Failed to create request:", err); return }
    req.Header.Set("x-api-key", apiKey)
    req.Header.Set("anthropic-version", "2023-06-01")
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil { fmt.Println("Request failed:", err); return }
    defer resp.Body.Close()
    body, _ := io.ReadAll(resp.Body)
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

curl -v 'https://www.sagelib.com/anthropic/messages' \
  -H "x-api-key: ***" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "Describe the main content of this image."
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "${image_url}"
            }
          }
        ]
      }
    ]
  }'

import json
import requests

base_url = "https://www.sagelib.com"
api_key = "***"
url = f"https://www.sagelib.com/anthropic/messages"
headers = {"x-api-key": api_key, "anthropic-version": "2023-06-01", "Content-Type": "application/json"}
data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Describe the main content of this image."
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "${image_url}"
                    }
                }
            ]
        }
    ]
}
response = requests.post(url, headers=headers, json=data)
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/anthropic/messages";
        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": [
                            {
                                "type": "text",
                                "text": "Describe the main content of this image."
                            },
                            {
                                "type": "image_url",
                                "image_url": {
                                    "url": "${image_url}"
                                }
                            }
                        ]
                    }
                ]
            }
            """;
        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder().uri(URI.create(url)).header("x-api-key", apiKey).header("anthropic-version", "2023-06-01").header("Content-Type", "application/json").POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody)).build();
        try {
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());
            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) break;
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) { e.printStackTrace(); }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/anthropic/messages"
    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": [
                            {
                                "type": "text",
                                "text": "Describe the main content of this image."
                            },
                            {
                                "type": "image_url",
                                "image_url": {
                                    "url": "${image_url}"
                                }
                            }
                        ]
                    }
                ]
            }
`
    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil { fmt.Println("Failed to create request:", err); return }
    req.Header.Set("x-api-key", apiKey)
    req.Header.Set("anthropic-version", "2023-06-01")
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil { fmt.Println("Request failed:", err); return }
    defer resp.Body.Close()
    body, _ := io.ReadAll(resp.Body)
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

响应参数

Body 参数

参数名称 描述
id string 消息 ID（msg_ 前缀）
model string 模型名 glm-5.3-flash
type string message
role string assistant
content array
stop_reason string end_turn / tool_use / max_tokens
usage object
    input_tokens integer 输入 token 数
    output_tokens integer 输出 token 数
    cache_read_input_tokens integer 缓存读取 token 数
POSThttps://www.sagelib.com/openai/chat/completions

glm-5.3-flash 模型的聊天生成接口，OpenAI直连，支持多轮上下文、流式输出、工具调用、结构化输出等。

接口鉴权方式请参考：API接入与鉴权

请求参数

请求头

参数名称 描述
*Content-Type string application/json（JSON 端点）或 multipart/form-data; boundary=...（multipart 端点，保持原始 boundary）
*Authorization string 鉴权令牌，格式为 Bearer ${AIGATEWAY_TOKEN}

Body 参数

参数名称 描述
*model string 模型编码，取值 glm-5.3-flash
*messages array 对话上下文数组，支持 system/user/assistant/tool 角色；视觉模型 content 可含 text/image_url/video_url/file 多模态内容块
temperature float 默认值：1
可选值：0.0~1.0
采样温度，值越大输出越随机
top_p float 默认值：0.95
可选值：0.01~1.0
核采样，累积概率阈值
max_tokens integer 可选值：1~131072
最大输出 token 数（128K）
do_sample boolean 默认值：true
可选值：true、false
是否开启采样，false 时取最高概率 token
stream boolean 默认值：false
可选值：true、false
是否 SSE 流式输出
thinking object 可选值：type: enabled only
深度思考配置
tool_stream boolean 默认值：false
可选值：true、false
流式输出工具调用参数
tools array 工具定义数组，模型可据此发起工具调用
tool_choice string 默认值：auto
可选值：auto
工具选择策略
stop array 停用词列表
response_format object 可选值：json_object
输出格式，支持结构化 JSON 输出
request_id string 可选值：6-64 characters
客户端请求标识
user_id string 可选值：6-128 characters
终端用户标识

请求示例

curl -v 'https://www.sagelib.com/openai/chat/completions' \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
      }
    ]
  }'

import json
import requests

# Configure base variables
base_url = "https://www.sagelib.com"  # 把 base_url 换成你的网关地址 https://www.sagelib.com
api_key = "***"  # Replace with your Bearer token

url = f"https://www.sagelib.com/openai/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
        }
    ]
}

# Send the POST request
response = requests.post(url, headers=headers, json=data)

# Print the status code and the returned JSON data
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/openai/chat/completions";

        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
                    }
                ]
            }
            """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(url))
                .header("Authorization", "Bearer " + apiKey)
                .header("Content-Type", "application/json")
                .POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody))
                .build();

        try {
            // Use ofInputStream to handle the streaming response
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());

            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) {
                            break;
                        }
                        // Tip: you can bring in Gson or Jackson here to parse the JSON in data and extract delta.content
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/openai/chat/completions"

    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "What model are you? Which company made you? When were you launched? Briefly describe your capability boundaries."
                    }
                ]
            }
`

    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil {
        fmt.Println("Failed to create request:", err)
        return
    }
    req.Header.Set("Authorization", "Bearer "+apiKey)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        fmt.Println("Request failed:", err)
        return
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    // Pretty-print the returned JSON data
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

curl -v 'https://www.sagelib.com/openai/chat/completions' \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get the weather of a specified city",
          "parameters": {
            "type": "object",
            "properties": {
              "city": {
                "type": "string"
              }
            },
            "required": [
              "city"
            ]
          }
        }
      }
    ]
  }'

import json
import requests

# Configure base variables
base_url = "https://www.sagelib.com"  # 把 base_url 换成你的网关地址 https://www.sagelib.com
api_key = "***"  # Replace with your Bearer token

url = f"https://www.sagelib.com/openai/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": "How is the weather in Beijing today? Please use a tool to query the weather."
        }
    ],
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "get_weather",
                "description": "Get the weather of a specified city",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "city": {
                            "type": "string"
                        }
                    },
                    "required": [
                        "city"
                    ]
                }
            }
        }
    ]
}

# Send the POST request
response = requests.post(url, headers=headers, json=data)

# Print the status code and the returned JSON data
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/openai/chat/completions";

        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
                    }
                ],
                "tools": [
                    {
                        "type": "function",
                        "function": {
                            "name": "get_weather",
                            "description": "Get the weather of a specified city",
                            "parameters": {
                                "type": "object",
                                "properties": {
                                    "city": {
                                        "type": "string"
                                    }
                                },
                                "required": [
                                    "city"
                                ]
                            }
                        }
                    }
                ]
            }
            """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(url))
                .header("Authorization", "Bearer " + apiKey)
                .header("Content-Type", "application/json")
                .POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody))
                .build();

        try {
            // Use ofInputStream to handle the streaming response
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());

            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) {
                            break;
                        }
                        // Tip: you can bring in Gson or Jackson here to parse the JSON in data and extract delta.content
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/openai/chat/completions"

    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": "How is the weather in Beijing today? Please use a tool to query the weather."
                    }
                ],
                "tools": [
                    {
                        "type": "function",
                        "function": {
                            "name": "get_weather",
                            "description": "Get the weather of a specified city",
                            "parameters": {
                                "type": "object",
                                "properties": {
                                    "city": {
                                        "type": "string"
                                    }
                                },
                                "required": [
                                    "city"
                                ]
                            }
                        }
                    }
                ]
            }
`

    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil {
        fmt.Println("Failed to create request:", err)
        return
    }
    req.Header.Set("Authorization", "Bearer "+apiKey)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        fmt.Println("Request failed:", err)
        return
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    // Pretty-print the returned JSON data
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

curl -v 'https://www.sagelib.com/openai/chat/completions' \
  -H "Authorization: Bearer ***" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "Describe the main content of this image."
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "${image_url}"
            }
          }
        ]
      }
    ]
  }'

import json
import requests

# Configure base variables
base_url = "https://www.sagelib.com"  # 把 base_url 换成你的网关地址 https://www.sagelib.com
api_key = "***"  # Replace with your Bearer token

url = f"https://www.sagelib.com/openai/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

data = {
    "model": "glm-5.3-flash",
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Describe the main content of this image."
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "${image_url}"
                    }
                }
            ]
        }
    ]
}

# Send the POST request
response = requests.post(url, headers=headers, json=data)

# Print the status code and the returned JSON data
print(f"Status Code: {response.status_code}")
try:
    print(json.dumps(response.json(), indent=2, ensure_ascii=False))
except Exception:
    print(response.text)

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class LlmStreamClient {
    public static void main(String[] args) {
        String baseUrl = "https://www.sagelib.com";
        String apiKey = "***";
        String url = "https://www.sagelib.com/openai/chat/completions";

        String jsonRequestBody = """
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": [
                            {
                                "type": "text",
                                "text": "Describe the main content of this image."
                            },
                            {
                                "type": "image_url",
                                "image_url": {
                                    "url": "${image_url}"
                                }
                            }
                        ]
                    }
                ]
            }
            """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(url))
                .header("Authorization", "Bearer " + apiKey)
                .header("Content-Type", "application/json")
                .POST(HttpRequest.BodyPublishers.ofString(jsonRequestBody))
                .build();

        try {
            // Use ofInputStream to handle the streaming response
            HttpResponse<java.io.InputStream> response = client.send(request, HttpResponse.BodyHandlers.ofInputStream());

            try (BufferedReader reader = new BufferedReader(new InputStreamReader(response.body()))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    line = line.trim();
                    if (line.startsWith("data:")) {
                        String data = line.substring(5).trim();
                        if ("[DONE]".equals(data)) {
                            break;
                        }
                        // Tip: you can bring in Gson or Jackson here to parse the JSON in data and extract delta.content
                        System.out.println("Received stream chunk: " + data);
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    baseUrl := "https://www.sagelib.com"
    apiKey := "***"
    url := "https://www.sagelib.com/openai/chat/completions"

    jsonRequestBody := `
            {
                "model": "glm-5.3-flash",
                "messages": [
                    {
                        "role": "user",
                        "content": [
                            {
                                "type": "text",
                                "text": "Describe the main content of this image."
                            },
                            {
                                "type": "image_url",
                                "image_url": {
                                    "url": "${image_url}"
                                }
                            }
                        ]
                    }
                ]
            }
`

    req, err := http.NewRequest("POST", url, bytes.NewBufferString(jsonRequestBody))
    if err != nil {
        fmt.Println("Failed to create request:", err)
        return
    }
    req.Header.Set("Authorization", "Bearer "+apiKey)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        fmt.Println("Request failed:", err)
        return
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    // Pretty-print the returned JSON data
    var prettyBody map[string]interface{}
    if err := json.Unmarshal(body, &prettyBody); err == nil {
        pretty, _ := json.MarshalIndent(prettyBody, "", "  ")
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(pretty))
    } else {
        fmt.Println("Status Code:", resp.StatusCode)
        fmt.Println(string(body))
    }
}

响应参数

Body 参数

参数名称 描述
id string 响应 ID
model string 模型名 glm-5.3-flash
object string chat.completion
request_id string 请求标识（网关回带）
choices array
usage object
    prompt_tokens integer 输入 token 数
    completion_tokens integer 输出 token 数
    completion_tokens_details object
        reasoning_tokens integer 思考 token 数