Alibaba Cloud Model Studio:Function Calling

Example code

import os
from openai import OpenAI

# Initialize OpenAI client with Alibaba Cloud DashScope service
client = OpenAI(
    # If you have not set the environment variable, replace the line below with: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),  # Read API key from environment variable
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)

# Define available tools
tools = [
    # Tool 1: Get current time
    {
        "type": "function",
        "function": {
            "name": "get_current_time",
            "description": "Useful when you want to know the current time.",
            "parameters": {}  # No parameters needed
        }
    },  
    # Tool 2: Get weather for a specific city
    {
        "type": "function",
        "function": {
            "name": "get_current_weather",
            "description": "Useful when you want to check the weather for a specific city.",
            "parameters": {  
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "City or county, such as Beijing, Hangzhou, or Yuhang District."
                    }
                },
                "required": ["location"]  # Required parameter
            }
        }
    }
]

messages = [{"role": "user", "content": input("Enter your question: ")}]

# Multimodal model message example
# messages = [{
#     "role": "user",
#     "content": [
#              {"type": "image_url","image_url": {"url": "https://img.alicdn.com/imgextra/i4/O1CN014CJhzi20NOzo7atOC_!!6000000006837-2-tps-2048-1365.png"}},
#              {"type": "text", "text": "Based on the location in the image, what is the current weather?"}]
#     }]

completion = client.chat.completions.create(
    # Use qwen-plus as an example. Replace with another deep thinking model
    model="qwen-plus",
    messages=messages,
    extra_body={
        # Enable deep thinking. This parameter has no effect on qwen3-30b-a3b-thinking-2507, qwen3-235b-a22b-thinking-2507, or QwQ models.
        "enable_thinking": True
    },
    tools=tools,
    parallel_tool_calls=True,
    stream=True,
    # Uncomment to get token usage info
    # stream_options={
    #     "include_usage": True
    # }
)

reasoning_content = ""  # Full reasoning process
answer_content = ""     # Full reply
tool_info = []          # Store tool call info
is_answering = False   # Flag to track end of reasoning and start of reply
print("="*20+"Reasoning process"+"="*20)
for chunk in completion:
    if not chunk.choices:
        # Handle usage stats
        print("\n"+"="*20+"Usage"+"="*20)
        print(chunk.usage)
    else:
        delta = chunk.choices[0].delta
        # Process AI's reasoning process (chain-of-thought)
        if hasattr(delta, 'reasoning_content') and delta.reasoning_content is not None:
            reasoning_content += delta.reasoning_content
            print(delta.reasoning_content,end="",flush=True)  # Stream reasoning process
            
        # Process final reply content
        else:
            if not is_answering:  # Print title on first entry to reply phase
                is_answering = True
                print("\n"+"="*20+"Reply content"+"="*20)
            if delta.content is not None:
                answer_content += delta.content
                print(delta.content,end="",flush=True)  # Stream reply content
            
            # Process tool call info (supports parallel tool calls)
            if delta.tool_calls is not None:
                for tool_call in delta.tool_calls:
                    index = tool_call.index  # Tool call index for parallel calls
                    
                    # Dynamically expand tool info storage list
                    while len(tool_info) <= index:
                        tool_info.append({})
                    
                    # Collect tool call ID (for later function call)
                    if tool_call.id:
                        tool_info[index]['id'] = tool_info[index].get('id', '') + tool_call.id
                    
                    # Collect function name (to route to specific function later)
                    if tool_call.function and tool_call.function.name:
                        tool_info[index]['name'] = tool_info[index].get('name', '') + tool_call.function.name
                    
                    # Collect function arguments (JSON string format, needs parsing later)
                    if tool_call.function and tool_call.function.arguments:
                        tool_info[index]['arguments'] = tool_info[index].get('arguments', '') + tool_call.function.arguments
            
print(f"\n"+"="*19+"Tool call info"+"="*19)
if not tool_info:
    print("No tool calls")
else:
    print(tool_info)

Returned result

Input “Weather in the four municipalities” returns this result:

====================Reasoning process====================
The user asked about the weather in the four municipalities. First, I need to identify which cities these are. According to China's administrative divisions, the municipalities are Beijing, Shanghai, Tianjin, and Chongqing. So the user wants the weather for these four cities.

Next, I check the available tools. There is a get_current_weather function with a location parameter of type string. Each city needs a separate query because the function only checks one location at a time. Therefore, I need to call this function once for each municipality.

Then, I consider how to generate correct tool calls. Each call should include the city name as the parameter. For example, the first call is for Beijing, the second for Shanghai, and so on. I must ensure the parameter name is location and the value is the correct city name.

Also, the user likely wants the weather for each city, so I need to make sure each function call is correct. Maybe I need to make four calls, one for each city. But according to tool usage rules, I might need to process them one at a time or generate multiple calls at once. Based on the example, I may call one function at a time, so I'll proceed step by step.

Finally, I confirm if there are other factors to consider, such as parameter correctness, city name accuracy, or error handling for cases like non-existent cities or unavailable APIs. But for now, the four municipalities are clear, so it should be fine.
====================Reply content====================

===================Tool call info===================
[{'id': 'call_767af2834c12488a8fe6e3', 'name': 'get_current_weather', 'arguments': '{"location": "Beijing"}'}, {'id': 'call_2cb05a349c89437a947ada', 'name': 'get_current_weather', 'arguments': '{"location": "Shanghai"}'}, {'id': 'call_988dd180b2ca4b0a864ea7', 'name': 'get_current_weather', 'arguments': '{"location": "Tianjin"}'}, {'id': 'call_4e98c57ea96a40dba26d12', 'name': 'get_current_weather', 'arguments': '{"location": "Chongqing"}'}]

Example code

import OpenAI from "openai";
import readline from 'node:readline/promises';
import { stdin as input, stdout as output } from 'node:process';

const openai = new OpenAI({
    apiKey: process.env.DASHSCOPE_API_KEY,
    baseURL: "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
});

const tools = [
    {
        type: "function",
        function: {
            name: "get_current_time",
            description: "Useful when you want to know the current time.",
            parameters: {}
        }
    },
    {
        type: "function",
        function: {
            name: "get_current_weather",
            description: "Useful when you want to check the weather for a specific city.",
            parameters: {
                type: "object",
                properties: {
                    location: {
                        type: "string",
                        description: "City or county, such as Beijing, Hangzhou, or Yuhang District."
                    }
                },
                required: ["location"]
            }
        }
    }
];

async function main() {
    const rl = readline.createInterface({ input, output });
    const question = await rl.question("Enter your question: "); 
    rl.close();
    
    const messages = [{ role: "user", content: question }];
    // Multimodal model message example
    // const messages= [{
    //     role: "user",
    //     content: [{type: "image_url", image_url: {url: "https://img.alicdn.com/imgextra/i2/O1CN01FbTJon1ErXVGMRdsN_!!6000000000405-0-tps-1024-683.jpg"}},
    //               {type: "text", text: "What's the weather at the location in the image?"}]
    //   }];
    let reasoningContent = "";
    let answerContent = "";
    const toolInfo = [];
    let isAnswering = false;

    console.log("=".repeat(20) + "Reasoning process" + "=".repeat(20));
    
    try {
        const stream = await openai.chat.completions.create({
            // Use qwen-plus as an example. Replace with another deep thinking model
            model: "qwen-plus",
            messages,
            // Enable deep thinking. This parameter has no effect on qwen3-30b-a3b-thinking-2507, qwen3-235b-a22b-thinking-2507, or QwQ models.
            enable_thinking: true,
            tools,
            stream: true,
            parallel_tool_calls: true
        });

        for await (const chunk of stream) {
            if (!chunk.choices?.length) {
                console.log("\n" + "=".repeat(20) + "Usage" + "=".repeat(20));
                console.log(chunk.usage);
                continue;
            }

            const delta = chunk.choices[0]?.delta;
            if (!delta) continue;

            // Process reasoning process
            if (delta.reasoning_content) {
                reasoningContent += delta.reasoning_content;
                process.stdout.write(delta.reasoning_content);
            }
            // Process reply content
            else {
                if (!isAnswering) {
                    isAnswering = true;
                    console.log("\n" + "=".repeat(20) + "Reply content" + "=".repeat(20));
                }
                if (delta.content) {
                    answerContent += delta.content;
                    process.stdout.write(delta.content);
                }
                // Process tool calls
                if (delta.tool_calls) {
                    for (const toolCall of delta.tool_calls) {
                        const index = toolCall.index;
                        
                        // Ensure array length is sufficient
                        while (toolInfo.length <= index) {
                            toolInfo.push({});
                        }
                        
                        // Update tool ID
                        if (toolCall.id) {
                            toolInfo[index].id = (toolInfo[index].id || "") + toolCall.id;
                        }
                        
                        // Update function name
                        if (toolCall.function?.name) {
                            toolInfo[index].name = (toolInfo[index].name || "") + toolCall.function.name;
                        }
                        
                        // Update parameters
                        if (toolCall.function?.arguments) {
                            toolInfo[index].arguments = (toolInfo[index].arguments || "") + toolCall.function.arguments;
                        }
                    }
                }
            }
        }

        console.log("\n" + "=".repeat(19) + "Tool call info" + "=".repeat(19));
        console.log(toolInfo.length ? toolInfo : "No tool calls");

    } catch (error) {
        console.error("An error occurred:", error);
    }
}

main(); 

Returned result

Input “Weather in the four municipalities” returns this result:

Enter your question: Weather in the four municipalities
====================Reasoning process====================
The user asked about the weather in the four municipalities. First, I need to identify which cities these are. Beijing, Shanghai, Tianjin, and Chongqing, right? Next, I need to call the weather lookup function for each city.

But the user’s question may require me to get the weather for all four cities. Each city needs a separate call to the get_current_weather function, with its city name as the parameter. I need to ensure the parameters are correct—for example, using full names like “Beijing”, “Shanghai”, “Tianjin”, and “Chongqing”.

Then, I need to generate four tool calls, one for each municipality. Check that each parameter is correct, then list them in order. That way, the user gets the weather for all four municipalities.
====================Reply content====================

===================Tool call info===================
[
  {
    id: 'call_21dc802e717f491298d1b2',
    name: 'get_current_weather',
    arguments: '{"location": "Beijing"}'
  },
  {
    id: 'call_2cd3be1d2f694c4eafd4e5',
    name: 'get_current_weather',
    arguments: '{"location": "Shanghai"}'
  },
  {
    id: 'call_48cf3f78e02940bd9085e4',
    name: 'get_current_weather',
    arguments: '{"location": "Tianjin"}'
  },
  {
    id: 'call_e230a2b4c64f4e658d223e',
    name: 'get_current_weather',
    arguments: '{"location": "Chongqing"}'
  }
]

Example code

curl -X POST https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "model": "qwen-plus",
    "messages": [
        {
            "role": "user", 
            "content": "How is the weather in Hangzhou?"
        }
    ],
    "tools": [
    {
        "type": "function",
        "function": {
            "name": "get_current_time",
            "description": "Useful when you want to know the current time.",
            "parameters": {}
        }
    },
    {
        "type": "function",
        "function": {
            "name": "get_current_weather",
            "description": "Useful when you want to check the weather for a specific city.",
            "parameters": {
                "type": "object",
                "properties": {
                    "location":{
                        "type": "string",
                        "description": "City or county, such as Beijing, Hangzhou, or Yuhang District."
                    }
                },
                "required": ["location"]
            }
        }
    }
  ],
  "enable_thinking": true,
  "stream": true
}'

Example code

import dashscope
dashscope.base_http_api_url = "https://dashscope-intl.aliyuncs.com/api/v1/"
tools = [
    # Tool 1: Get current time
    {
        "type": "function",
        "function": {
            "name": "get_current_time",
            "description": "Useful when you want to know the current time.",
            "parameters": {}  # No input parameters needed, so parameters is an empty dictionary
        }
    },  
    # Tool 2: Get weather for a specific city
    {
        "type": "function",
        "function": {
            "name": "get_current_weather",
            "description": "Useful when you want to check the weather for a specific city.",
            "parameters": {  
                "type": "object",
                "properties": {
                    # Location is required for weather lookup, so set parameter to location
                    "location": {
                        "type": "string",
                        "description": "City or county, such as Beijing, Hangzhou, or Yuhang District."
                    }
                },
                "required": ["location"]
            }
        }
    }
]

# Define question
messages = [{"role": "user", "content": input("Enter your question: ")}]

# Multimodal model message example
# messages = [
# {
#     "role": "user",
#     "content": [
#     {"image": "https://img.alicdn.com/imgextra/i2/O1CN01FbTJon1ErXVGMRdsN_!!6000000000405-0-tps-1024-683.jpg"},
#     {"text": "What's the weather at the location in the image?"}]
# }]

# If you use a multimodal model, replace Generation with MultiModalConversation interface
completion = dashscope.Generation.call(
    # Use qwen-plus as an example. Replace with another deep thinking model
    model="qwen-plus", 
    messages=messages,
    enable_thinking=True,
    tools=tools,
    parallel_tool_calls=True,
    stream=True,
    incremental_output=True,
    result_format="message"
)

reasoning_content = ""
answer_content = ""
tool_info = []
is_answering = False
print("="*20+"Reasoning process"+"="*20)

for chunk in completion:
    if chunk.status_code == 200:
        msg = chunk.output.choices[0].message
        
        # Process reasoning process
        if 'reasoning_content' in msg and msg.reasoning_content:
            reasoning_content += msg.reasoning_content
            print(msg.reasoning_content, end="", flush=True)
        
        # Process reply content
        if 'content' in msg and msg.content:
            if not is_answering:
                is_answering = True
                print("\n"+"="*20+"Reply content"+"="*20)
            answer_content += msg.content
            print(msg.content, end="", flush=True)
        
        # Process tool calls
        if 'tool_calls' in msg and msg.tool_calls:
            for tool_call in msg.tool_calls:
                index = tool_call['index']
                
                while len(tool_info) <= index:
                    tool_info.append({'id': '', 'name': '', 'arguments': ''})  # Initialize all fields
                
                # Incrementally update tool ID
                if 'id' in tool_call:
                    tool_info[index]['id'] += tool_call.get('id', '')
                
                # Incrementally update function info
                if 'function' in tool_call:
                    func = tool_call['function']
                    # Incrementally update function name
                    if 'name' in func:
                        tool_info[index]['name'] += func.get('name', '')
                    # Incrementally update parameters
                    if 'arguments' in func:
                        tool_info[index]['arguments'] += func.get('arguments', '')

print(f"\n"+"="*19+"Tool call info"+"="*19)
if not tool_info:
    print("No tool calls")
else:
    print(tool_info)

Returned result

Input “Weather in the four municipalities” returns this result:

Enter your question: Weather in the four municipalities
====================Reasoning process====================
The user asked about the weather in the four municipalities. First, I need to confirm which cities these are. Beijing, Shanghai, Tianjin, and Chongqing, right? Next, the user wants the weather for each city, so I need to call the weather lookup function.

However, the question does not specify exact city names, just the four municipalities. I need to clarify each municipality’s name and then query their weather. For example, Beijing, Shanghai, Tianjin, and Chongqing. I need to call the get_current_weather function for each city, passing the corresponding city name as the parameter. For instance, first call location is Beijing, second is Shanghai, third is Tianjin, fourth is Chongqing.

However, I should note that for municipalities like Chongqing, sometimes more specific districts are needed, but the user likely only needs municipal-level weather. So using the municipality name should be fine. Next, I need to generate four independent function calls, one for each municipality. That way, the user gets the weather for all four cities.

Finally, I ensure each call’s parameters are correct and nothing is missed. That way, the user’s question is fully answered.
===================Tool call info===================
[{'id': 'call_2f774ed97b0e4b24ab10ec', 'name': 'get_current_weather', 'arguments': '{"location": "Beijing"}'}, {'id': 'call_dc3b05b88baa48c58bc33a', 'name': 'get_current_weather', 'arguments': '{"location": "Shanghai"}}'}, {'id': 'call_249b2de2f73340cdb46cbc', 'name': 'get_current_weather', 'arguments': '{"location": "Tianjin"}'}, {'id': 'call_833333634fda49d1b39e87', 'name': 'get_current_weather', 'arguments': '{"location": "Chongqing"}}'}]

Example code

// DashScope SDK version >= 2.19.4
import java.util.Arrays;

import com.alibaba.dashscope.exception.UploadFileException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.utils.Constants;
import com.alibaba.dashscope.utils.JsonUtils;
import com.alibaba.dashscope.tools.ToolFunction;
import com.alibaba.dashscope.tools.FunctionDefinition;
import io.reactivex.Flowable;
import com.fasterxml.jackson.databind.node.ObjectNode;
import java.lang.System;
import com.github.victools.jsonschema.generator.Option;
import com.github.victools.jsonschema.generator.OptionPreset;
import com.github.victools.jsonschema.generator.SchemaGenerator;
import com.github.victools.jsonschema.generator.SchemaGeneratorConfig;
import com.github.victools.jsonschema.generator.SchemaGeneratorConfigBuilder;
import com.github.victools.jsonschema.generator.SchemaVersion;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.Collections;

public class Main {
    private static final Logger logger = LoggerFactory.getLogger(Main.class);
    private static ObjectNode jsonSchemaWeather;
    private static ObjectNode jsonSchemaTime;
    
    static {Constants.baseHttpApiUrl="https://dashscope-intl.aliyuncs.com/api/v1";}

    static class TimeTool {
        public String call() {
            LocalDateTime now = LocalDateTime.now();
            DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
            return "Current time: " + now.format(formatter) + ".";
        }
    }

    static class WeatherTool {
        private String location;

        public WeatherTool(String location) {
            this.location = location;
        }

        public String call() {
            return location + " is sunny today.";
        }
    }

    static {
        SchemaGeneratorConfigBuilder configBuilder = new SchemaGeneratorConfigBuilder(
                SchemaVersion.DRAFT_2020_12, OptionPreset.PLAIN_JSON);
        SchemaGeneratorConfig config = configBuilder
                .with(Option.EXTRA_OPEN_API_FORMAT_VALUES)
                .without(Option.FLATTENED_ENUMS_FROM_TOSTRING)
                .build();
        SchemaGenerator generator = new SchemaGenerator(config);
        jsonSchemaWeather = generator.generateSchema(WeatherTool.class);
        jsonSchemaTime = generator.generateSchema(TimeTool.class);
    }
    private static void handleGenerationResult(GenerationResult message) {
        System.out.println(JsonUtils.toJson(message));
    }
    
    // Create tool calling method for text-generation models
    public static void streamCallWithMessage(Generation gen, Message userMsg)
            throws NoApiKeyException, ApiException, InputRequiredException {
        GenerationParam param = buildGenerationParam(userMsg);
        Flowable<GenerationResult> result = gen.streamCall(param);
        result.blockingForEach(message -> handleGenerationResult(message));
    }
    // Build text-generation model parameters with tool calling support
    private static GenerationParam buildGenerationParam(Message userMsg) {
        FunctionDefinition fdWeather = buildFunctionDefinition(
                "get_current_weather", "Get weather for a specified location", jsonSchemaWeather);
        FunctionDefinition fdTime = buildFunctionDefinition(
                "get_current_time", "Get current time", jsonSchemaTime);

        return GenerationParam.builder()
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen-plus")
                .enableThinking(true)
                .messages(Arrays.asList(userMsg))
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .incrementalOutput(true)
                .tools(Arrays.asList(
                        ToolFunction.builder().function(fdWeather).build(),
                        ToolFunction.builder().function(fdTime).build()))
                .build();
    }

    // Create tool calling method for multimodal models
    public static void streamCallWithMultiModalMessage(MultiModalConversation conv, MultiModalMessage userMsg)
            throws NoApiKeyException, ApiException, UploadFileException {
        MultiModalConversationParam param = buildMultiModalConversationParam(userMsg);
        Flowable<MultiModalConversationResult> result = conv.streamCall(param);
        result.blockingForEach(message -> System.out.println(JsonUtils.toJson(message)));
    }

    // Build multimodal model parameters with tool calling support
    private static MultiModalConversationParam buildMultiModalConversationParam(MultiModalMessage userMsg) {
        FunctionDefinition fdWeather = buildFunctionDefinition(
                "get_current_weather", "Get weather for a specified location", jsonSchemaWeather);
        FunctionDefinition fdTime = buildFunctionDefinition(
                "get_current_time", "Get current time", jsonSchemaTime);

        return MultiModalConversationParam.builder()
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3-vl-plus")  // Use multimodal model Qwen3-VL
                .enableThinking(true)
                .messages(Arrays.asList(userMsg))
                .tools(Arrays.asList(  // Configure tool list
                        ToolFunction.builder().function(fdWeather).build(),
                        ToolFunction.builder().function(fdTime).build()))
                .build();
    }

    private static FunctionDefinition buildFunctionDefinition(
            String name, String description, ObjectNode schema) {
        return FunctionDefinition.builder()
                .name(name)
                .description(description)
                .parameters(JsonUtils.parseString(schema.toString()).getAsJsonObject())
                .build();
    }

    public static void main(String[] args) {
        try {
            Generation gen = new Generation();
            Message userMsg = Message.builder()
                    .role(Role.USER.getValue())
                    .content("Tell me the weather in Hangzhou.")
                    .build();
            try {
                streamCallWithMessage(gen, userMsg);
            } catch (InputRequiredException e) {
                throw new RuntimeException(e);
            }
//             Uncomment the following lines to use multimodal models for tool calling
//            MultiModalConversation conv = new MultiModalConversation();
//            MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
//                    .content(Arrays.asList(Collections.singletonMap("image", "https://img.alicdn.com/imgextra/i2/O1CN01FbTJon1ErXVGMRdsN_!!6000000000405-0-tps-1024-683.jpg"),
//                            Collections.singletonMap("text", "What's the weather at the location in the image?"))).build();
//            try {
//                streamCallWithMultiModalMessage(conv,userMessage);
//            } catch (UploadFileException e) {
//                throw new RuntimeException(e);
//            }
        } catch (ApiException | NoApiKeyException e) {
            logger.error("An exception occurred: {}", e.getMessage());
        }
        System.exit(0);
    }
}

Returned result

{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":6,"total_tokens":244},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"Okay, the user wants"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":12,"total_tokens":250},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"to tell me the weather in Hangzhou. I"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":16,"total_tokens":254},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"need to determine whether there are"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":22,"total_tokens":260},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"any relevant tools available. Looking at the provided"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":28,"total_tokens":266},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"tools, I see a get_current"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":34,"total_tokens":272},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"_weather function, with a location parameter."}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":38,"total_tokens":276},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"So I should call"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":43,"total_tokens":281},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"this function, setting the parameter"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":48,"total_tokens":286},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"to Hangzhou. No other tools are needed, because"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":52,"total_tokens":290},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"the user only asked about"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":56,"total_tokens":294},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"weather. Next, I'll construct"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":60,"total_tokens":298},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"a tool_call, filling in the"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":64,"total_tokens":302},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"name and parameters. Make sure the parameters are"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":68,"total_tokens":306},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"a JSON object, with location as a"}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":73,"total_tokens":311},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":"string. After checking for errors, I'll return."}}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":78,"total_tokens":316},"output":{"choices":[{"finish_reason":"null","message":{"role":"assistant","content":"","reasoning_content":""}},{"tool_calls":[{"type":"function","id":"call_ecc41296dccc47baa01567","function":{"name":"get_current_weather","arguments":"{\"location\": \"Hangzhou\"}}"}]}]}}
{"requestId":"4edb81cd-4647-9d5d-88f9-a4f30bc6d8dd","usage":{"input_tokens":238,"output_tokens":106,"total_tokens":344},"output":{"choices":[{"finish_reason":"tool_calls","message":{"role":"assistant","content":"","reasoning_content":"","tool_calls":[{"type":"function","id":"","function":{"arguments":"\"}"}}]}}]}}

Example code

# ======= Important notice =======
# If you use a multimodal model, modify the message parameter and replace the URL with https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
# API keys vary by region. Get your API key: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# If you use a model from the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation
# === Delete this comment before running ===

curl -X POST "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/text-generation/generation" \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-H "X-DashScope-SSE: enable" \
-d '{
    "model": "qwen-plus",
    "input":{
        "messages":[      
            {
                "role": "user",
                "content": "What's the weather in Hangzhou?"
            }
        ]
    },
    "parameters": {
        "enable_thinking": true,
        "incremental_output": true,
        "result_format": "message",
        "tools": [{
            "type": "function",
            "function": {
                "name": "get_current_time",
                "description": "Useful when you want to know the current time.",
                "parameters": {}
            }
        },{
            "type": "function",
            "function": {
                "name": "get_current_weather",
                "description": "Useful when you want to check the weather for a specific city.",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "location": {
                            "type": "string",
                            "description": "City or county, such as Beijing, Hangzhou, or Yuhang District."
                        }
                    },
                    "required": ["location"]
                }
            }
        }]
    }
}'