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The Responses API Beta supports full Tool Calling capabilities, allowing the model to:
  • Function Calling
  • Execute multiple tools in parallel
  • Handle complex multi-step workflows

​
Basic Tool Definition

​
Request Header

curl -X POST https://aihubmix.com/v1/responses \
  -H "Authorization: Bearer YOUR_AIHUBMIX_API_KEY" \
  -H "Content-Type: application/json" \

​
Request Body

{
  "model": "claude-sonnet-4-6",
  "input": [
    {
      "type": "message",
      "role": "user",
      "content": [
        {
          "type": "input_text",
          "text": "What is the weather in San Francisco?"
        }
      ]
    }
  ],
  "tools": [
    {
      "type": "function",
      "name": "get_weather",
      "description": "Get the current weather at a location",
      "strict": null,
      "parameters": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "The city and state, e.g. San Francisco, CA"
          },
          "unit": {
            "type": "string",
            "enum": ["celsius", "fahrenheit"]
          }
        },
        "required": ["location"]
      }
    }
  ],
  "tool_choice": "auto",
  "max_output_tokens": 5000
}

​
Tool Invocation Strategy

The tool_choice parameter controls when and how the model invokes tools.
ParameterDescription
autoThe model automatically decides whether to invoke tools
nonePrevents the model from invoking any tools

​
Multiple Tool Definitions

In complex tasks, multiple tools can be defined, allowing the model to choose the appropriate tool based on user needs. 
import requests

# Weather tool
weather_tool = {
    "type": "function",
    "name": "get_weather",
    "description": "Get current weather information for a city",
    "parameters": {
        "type": "object",
        "properties": {
            "city": {
                "type": "string",
                "description": "The name of the city"
            }
        },
        "required": ["city"]
    }
}

# Calculator tool
calculator_tool = {
    "type": "function",
    "name": "calculate",
    "description": "Perform mathematical calculations",
    "parameters": {
        "type": "object",
        "properties": {
            "expression": {
                "type": "string",
                "description": "The mathematical expression to evaluate"
            }
        },
        "required": ["expression"]
    }
}

response = requests.post(
    "https://aihubmix.com/v1/responses",
    headers={
        "Authorization": "Bearer AIHUBMIX_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "glm-5",
        "input": [
            {
                "type": "message",
                "role": "user",
                "content": [
                    {
                        "type": "input_text",
                        "text": "What is 25 * 4?"
                    }
                ]
            }
        ],
        "tools": [weather_tool, calculator_tool],
        "tool_choice": "auto",
        "max_output_tokens": 5000
    }
)

print(response.json())

​
Response with Tool Invocation

{
  "id": "resp_09b8eb7c272559fc0069affbaab5cc8194a5005746b80f3b57",
  "object": "response",
  "created_at": 1773140906,
  "completed_at": 1773140908,
  "status": "completed",
  "background": false,
  "error": null,
  "model": "gpt-54",
  "service_tier": "default",
  "temperature": 1.0,
  "top_p": 1.0,
  "frequency_penalty": 0.0,
  "presence_penalty": 0.0,
  "max_output_tokens": 5000,
  "max_tool_calls": null,
  "parallel_tool_calls": true,
  "tool_choice": "auto",
  "truncation": "disabled",
  "store": true,
  "previous_response_id": null,
  "prompt_cache_key": null,
  "prompt_cache_retention": null,
  "instructions": null,
  "safety_identifier": null,
  "user": null,
  "metadata": {},

  "reasoning": {
    "effort": "none",
    "summary": null
  },

  "content_filters": [
    {
      "blocked": false,
      "source_type": "completion",
      "content_filter_raw": [],
      "content_filter_results": {},
      "content_filter_offsets": {
        "start_offset": 0,
        "end_offset": 1289,
        "check_offset": 0
      }
    }
  ],

  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "medium"
  },

  "output": [
    {
      "id": "fc_09b8eb7c272559fc0069affbabb0288194b63aa879435c7cd0",
      "type": "function_call",
      "status": "completed",
      "name": "calculate",
      "call_id": "call_PFtWscQ3pAyfSaotwujhT0sn",
      "arguments": {
        "expression": "25*4"
      }
    }
  ],

  "tools": [
    {
      "type": "function",
      "name": "get_weather",
      "description": "Get current weather information for a city",
      "strict": true,
      "parameters": {
        "type": "object",
        "properties": {
          "city": {
            "type": "string",
            "description": "The name of the city"
          }
        },
        "required": ["city"],
        "additionalProperties": false
      }
    },
    {
      "type": "function",
      "name": "calculate",
      "description": "Perform mathematical calculations",
      "strict": true,
      "parameters": {
        "type": "object",
        "properties": {
          "expression": {
            "type": "string",
            "description": "The mathematical expression to evaluate"
          }
        },
        "required": ["expression"],
        "additionalProperties": false
      }
    }
  ],

  "usage": {
    "input_tokens": 86,
    "output_tokens": 25,
    "total_tokens": 111,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens_details": {
      "reasoning_tokens": 0
    }
  }
}

​
Usage Recommendations

  1. Clear Descriptions: Provide detailed function descriptions and parameter explanations.
  2. Correct Format: Parameters should use valid JSON.
  3. Error Handling: Handle situations where tools may not be callable.
  4. Parallel Execution: Design tools to run independently whenever possible.
  5. Conversational Flow: Include tool responses in subsequent requests to provide context.
Last updated: 2026-06-01