Create response

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the capital of France?"
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the weather in Paris?",
    "tools": [
      {
        "type": "function",
        "name": "get_weather",
        "description": "Get the current weather for a location",
        "parameters": {
          "type": "object",
          "properties": {
            "location": { "type": "string", "description": "City name" }
          },
          "required": ["location"]
        }
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": [
      {
        "type": "message",
        "role": "user",
        "content": [
          { "type": "input_text", "text": "Describe this image in one sentence." },
          {
            "type": "input_image",
            "image_url": "https://picsum.photos/id/237/200/300",
            "detail": "low"
          }
        ]
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What time is it?",
    "tools": [
      { "type": "orq:current_date" }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "Say hello to {{name}}",
    "variables": {
      "name": "Alice",
      "api_token": { "secret": true, "value": "sk-secret-123" }
    }
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the weather in Paris?",
    "stream": true,
    "tools": [
      {
        "type": "function",
        "name": "get_weather",
        "description": "Get the current weather",
        "parameters": {
          "type": "object",
          "properties": {
            "location": { "type": "string" }
          },
          "required": ["location"]
        }
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "previous_response_id": "resp_01KP6DFXWPKZ12AS254R4W6C08",
    "input": [
      {
        "type": "function_call_output",
        "id": "fco_weather_result",
        "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
        "output": "{\"temperature\": \"18°C\", \"condition\": \"Partly cloudy\"}"
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agent/customer_support",
    "input": "I need help with my order #12345"
  }'

{
  "id": "resp_01KP6DFC5FB7K7K10TVP60PF81",
  "object": "response",
  "created_at": 1776184439,
  "completed_at": 1776184439,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6DFCG3RF80BEBXP06XX258",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "The capital of France is Paris.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 83,
    "output_tokens": 54,
    "total_tokens": 137,
    "input_tokens_details": {
      "cached_tokens": 0,
      "cache_creation_tokens": 0
    },
    "output_tokens_details": {
      "reasoning_tokens": 38
    },
    "input_cost": 0.0001245,
    "output_cost": 0.000324,
    "total_cost": 0.0004485
  }
}

{
  "id": "resp_01KP6DFXWPKZ12AS254R4W6C08",
  "object": "response",
  "created_at": 1776184457,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "function_call",
      "id": "fc_01KP6DFY7SE1Z2GBW6G2VDBDNJ",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "name": "get_weather",
      "arguments": "{\"location\":\"Paris\"}",
      "status": "completed"
    }
  ],
  "tools": [
    {
      "type": "function",
      "name": "get_weather",
      "description": "Get the current weather for a location",
      "parameters": {
        "type": "object",
        "properties": {
          "location": { "type": "string", "description": "City name" }
        },
        "required": ["location"]
      }
    }
  ],
  "usage": {
    "input_tokens": 131,
    "output_tokens": 36,
    "total_tokens": 167
  }
}

{
  "id": "resp_01KP6EJD020945A3WCBMD581RH",
  "object": "response",
  "created_at": 1776185587,
  "completed_at": 1776185591,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "input": [
    {
      "type": "message",
      "role": "user",
      "content": [
        { "type": "input_text", "text": "Describe this image in one sentence." },
        { "type": "input_image", "image_url": "https://picsum.photos/id/237/200/300", "detail": "low" }
      ]
    }
  ],
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6EJJ7FKC0SDWVBEC626TCM",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "A cute black puppy sits on a wooden floor, looking up with big, expressive eyes.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 8514,
    "output_tokens": 19,
    "total_tokens": 8533
  }
}

{
  "id": "resp_01KP6GDNJY5B0TT0R35KS23PYV",
  "object": "response",
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "orq:current_date",
      "id": "msg_01kp6gdppk31xp6qc1z92x132p",
      "call_id": "fc_888c598a-b519-421a-9904-e5f0e8c34a53",
      "name": "current_date",
      "status": "completed",
      "result": {
        "currentDate": "2026-04-14T17:25:29.175Z"
      }
    },
    {
      "type": "message",
      "id": "msg_01KP6GDPP6D57H9G7VVFKFW07H",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "It's currently 17:25 UTC (2026‑04‑14).",
          "annotations": []
        }
      ]
    }
  ],
  "tools": [
    { "type": "orq:current_date" }
  ],
  "usage": {
    "input_tokens": 352,
    "output_tokens": 126,
    "total_tokens": 478
  }
}

{
  "id": "resp_01KP6GDRS1FY0VW4V77GTK9P7G",
  "object": "response",
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6GDS6TK09C7RM7GKAFPQ1Z",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "Hello, Alice!",
          "annotations": []
        }
      ]
    }
  ],
  "variables": {
    "name": "Alice"
  },
  "usage": {
    "input_tokens": 75,
    "output_tokens": 67,
    "total_tokens": 142
  }
}

event: response.created
data: {"type":"response.created","sequence_number":1,
  "response":{"id":"resp_01KP6E957P5VF...","status":"in_progress",...}}

event: response.in_progress
data: {"type":"response.in_progress","sequence_number":2,...}

// Reasoning output item
event: response.output_item.added
data: {"type":"response.output_item.added","sequence_number":3,
  "output_index":0,
  "item":{"id":"rs_01kp6e95fs...","type":"reasoning"}}

event: response.reasoning.delta
data: {"type":"response.reasoning.delta","sequence_number":5,
  "item_id":"rs_01kp6e95fs...","output_index":0,
  "delta":"We need to call get_weather..."}

// ...more reasoning deltas...

event: response.reasoning.done
data: {"type":"response.reasoning.done","sequence_number":17,
  "text":"We need to call get_weather function with location \"Paris\"."}

event: response.output_item.done
data: {"type":"response.output_item.done","sequence_number":19,
  "output_index":0,"item":{"type":"reasoning",...}}

// Function call output item
event: response.output_item.added
data: {"type":"response.output_item.added","sequence_number":20,
  "output_index":1,
  "item":{"type":"function_call","id":"fc_63a459e4...",
    "name":"get_weather","arguments":""}}

event: response.function_call_arguments.delta
data: {"type":"response.function_call_arguments.delta",
  "sequence_number":21,
  "item_id":"fc_63a459e4...","output_index":1,
  "delta":"{\"location\":\"Paris\"}"}

event: response.function_call_arguments.done
data: {"type":"response.function_call_arguments.done",
  "sequence_number":22,
  "arguments":"{\"location\":\"Paris\"}"}

event: response.output_item.done
data: {"type":"response.output_item.done","sequence_number":23,
  "output_index":1,
  "item":{"type":"function_call","name":"get_weather",
    "arguments":"{\"location\":\"Paris\"}","status":"completed"}}

event: response.completed
data: {"type":"response.completed","sequence_number":24,
  "response":{"id":"resp_01KP6E957P5VF...","status":"completed",
    "telemetry":{"trace_id":"9f2c1b3a4d5e6f708192a3b4c5d6e7f8","span_id":"1a2b3c4d5e6f7081"},
    "usage":{"input_tokens":123,"output_tokens":36,"total_tokens":159}}}

event: done
data: [DONE]

{
  "id": "resp_01KP6ENF391202692JCGD6YBM5",
  "object": "response",
  "created_at": 1776185687,
  "completed_at": 1776185687,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "input": [
    {
      "type": "message",
      "id": "msg_01KP6DFXWPKZ12AS254YKHRA8R",
      "role": "user",
      "content": [{ "type": "input_text", "text": "What is the weather in Paris?" }]
    },
    {
      "type": "function_call",
      "id": "fc_01KP6DFY7SE1Z2GBW6G2VDBDNJ",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "name": "get_weather",
      "arguments": "{\"location\":\"Paris\"}"
    },
    {
      "type": "function_call_output",
      "id": "fco_01KP6DFXWPKZ12AS254R4W6C09",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "output": "{\"temperature\": \"18°C\", \"condition\": \"Partly cloudy\"}"
    }
  ],
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6ENFR9G5G69TTE5AD9W65W",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "The current weather in Paris is 18 °C with partly cloudy skies.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 117,
    "output_tokens": 67,
    "total_tokens": 184
  }
}

{
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  "object": "response",
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  "telemetry": {
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    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6FGH9P8RF80BEBXP0ABCDE",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "I'd be happy to help with order #12345. Let me look that up for you.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 245,
    "output_tokens": 22,
    "total_tokens": 267
  }
}

POST

router

responses

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the capital of France?"
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the weather in Paris?",
    "tools": [
      {
        "type": "function",
        "name": "get_weather",
        "description": "Get the current weather for a location",
        "parameters": {
          "type": "object",
          "properties": {
            "location": { "type": "string", "description": "City name" }
          },
          "required": ["location"]
        }
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": [
      {
        "type": "message",
        "role": "user",
        "content": [
          { "type": "input_text", "text": "Describe this image in one sentence." },
          {
            "type": "input_image",
            "image_url": "https://picsum.photos/id/237/200/300",
            "detail": "low"
          }
        ]
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What time is it?",
    "tools": [
      { "type": "orq:current_date" }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "Say hello to {{name}}",
    "variables": {
      "name": "Alice",
      "api_token": { "secret": true, "value": "sk-secret-123" }
    }
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the weather in Paris?",
    "stream": true,
    "tools": [
      {
        "type": "function",
        "name": "get_weather",
        "description": "Get the current weather",
        "parameters": {
          "type": "object",
          "properties": {
            "location": { "type": "string" }
          },
          "required": ["location"]
        }
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "previous_response_id": "resp_01KP6DFXWPKZ12AS254R4W6C08",
    "input": [
      {
        "type": "function_call_output",
        "id": "fco_weather_result",
        "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
        "output": "{\"temperature\": \"18°C\", \"condition\": \"Partly cloudy\"}"
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agent/customer_support",
    "input": "I need help with my order #12345"
  }'

{
  "id": "resp_01KP6DFC5FB7K7K10TVP60PF81",
  "object": "response",
  "created_at": 1776184439,
  "completed_at": 1776184439,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6DFCG3RF80BEBXP06XX258",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "The capital of France is Paris.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 83,
    "output_tokens": 54,
    "total_tokens": 137,
    "input_tokens_details": {
      "cached_tokens": 0,
      "cache_creation_tokens": 0
    },
    "output_tokens_details": {
      "reasoning_tokens": 38
    },
    "input_cost": 0.0001245,
    "output_cost": 0.000324,
    "total_cost": 0.0004485
  }
}

{
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  "object": "response",
  "created_at": 1776184457,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "function_call",
      "id": "fc_01KP6DFY7SE1Z2GBW6G2VDBDNJ",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "name": "get_weather",
      "arguments": "{\"location\":\"Paris\"}",
      "status": "completed"
    }
  ],
  "tools": [
    {
      "type": "function",
      "name": "get_weather",
      "description": "Get the current weather for a location",
      "parameters": {
        "type": "object",
        "properties": {
          "location": { "type": "string", "description": "City name" }
        },
        "required": ["location"]
      }
    }
  ],
  "usage": {
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    "total_tokens": 167
  }
}

{
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  "object": "response",
  "created_at": 1776185587,
  "completed_at": 1776185591,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "input": [
    {
      "type": "message",
      "role": "user",
      "content": [
        { "type": "input_text", "text": "Describe this image in one sentence." },
        { "type": "input_image", "image_url": "https://picsum.photos/id/237/200/300", "detail": "low" }
      ]
    }
  ],
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6EJJ7FKC0SDWVBEC626TCM",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "A cute black puppy sits on a wooden floor, looking up with big, expressive eyes.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 8514,
    "output_tokens": 19,
    "total_tokens": 8533
  }
}

{
  "id": "resp_01KP6GDNJY5B0TT0R35KS23PYV",
  "object": "response",
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "orq:current_date",
      "id": "msg_01kp6gdppk31xp6qc1z92x132p",
      "call_id": "fc_888c598a-b519-421a-9904-e5f0e8c34a53",
      "name": "current_date",
      "status": "completed",
      "result": {
        "currentDate": "2026-04-14T17:25:29.175Z"
      }
    },
    {
      "type": "message",
      "id": "msg_01KP6GDPP6D57H9G7VVFKFW07H",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "It's currently 17:25 UTC (2026‑04‑14).",
          "annotations": []
        }
      ]
    }
  ],
  "tools": [
    { "type": "orq:current_date" }
  ],
  "usage": {
    "input_tokens": 352,
    "output_tokens": 126,
    "total_tokens": 478
  }
}

{
  "id": "resp_01KP6GDRS1FY0VW4V77GTK9P7G",
  "object": "response",
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6GDS6TK09C7RM7GKAFPQ1Z",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "Hello, Alice!",
          "annotations": []
        }
      ]
    }
  ],
  "variables": {
    "name": "Alice"
  },
  "usage": {
    "input_tokens": 75,
    "output_tokens": 67,
    "total_tokens": 142
  }
}

event: response.created
data: {"type":"response.created","sequence_number":1,
  "response":{"id":"resp_01KP6E957P5VF...","status":"in_progress",...}}

event: response.in_progress
data: {"type":"response.in_progress","sequence_number":2,...}

// Reasoning output item
event: response.output_item.added
data: {"type":"response.output_item.added","sequence_number":3,
  "output_index":0,
  "item":{"id":"rs_01kp6e95fs...","type":"reasoning"}}

event: response.reasoning.delta
data: {"type":"response.reasoning.delta","sequence_number":5,
  "item_id":"rs_01kp6e95fs...","output_index":0,
  "delta":"We need to call get_weather..."}

// ...more reasoning deltas...

event: response.reasoning.done
data: {"type":"response.reasoning.done","sequence_number":17,
  "text":"We need to call get_weather function with location \"Paris\"."}

event: response.output_item.done
data: {"type":"response.output_item.done","sequence_number":19,
  "output_index":0,"item":{"type":"reasoning",...}}

// Function call output item
event: response.output_item.added
data: {"type":"response.output_item.added","sequence_number":20,
  "output_index":1,
  "item":{"type":"function_call","id":"fc_63a459e4...",
    "name":"get_weather","arguments":""}}

event: response.function_call_arguments.delta
data: {"type":"response.function_call_arguments.delta",
  "sequence_number":21,
  "item_id":"fc_63a459e4...","output_index":1,
  "delta":"{\"location\":\"Paris\"}"}

event: response.function_call_arguments.done
data: {"type":"response.function_call_arguments.done",
  "sequence_number":22,
  "arguments":"{\"location\":\"Paris\"}"}

event: response.output_item.done
data: {"type":"response.output_item.done","sequence_number":23,
  "output_index":1,
  "item":{"type":"function_call","name":"get_weather",
    "arguments":"{\"location\":\"Paris\"}","status":"completed"}}

event: response.completed
data: {"type":"response.completed","sequence_number":24,
  "response":{"id":"resp_01KP6E957P5VF...","status":"completed",
    "telemetry":{"trace_id":"9f2c1b3a4d5e6f708192a3b4c5d6e7f8","span_id":"1a2b3c4d5e6f7081"},
    "usage":{"input_tokens":123,"output_tokens":36,"total_tokens":159}}}

event: done
data: [DONE]

{
  "id": "resp_01KP6ENF391202692JCGD6YBM5",
  "object": "response",
  "created_at": 1776185687,
  "completed_at": 1776185687,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "input": [
    {
      "type": "message",
      "id": "msg_01KP6DFXWPKZ12AS254YKHRA8R",
      "role": "user",
      "content": [{ "type": "input_text", "text": "What is the weather in Paris?" }]
    },
    {
      "type": "function_call",
      "id": "fc_01KP6DFY7SE1Z2GBW6G2VDBDNJ",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "name": "get_weather",
      "arguments": "{\"location\":\"Paris\"}"
    },
    {
      "type": "function_call_output",
      "id": "fco_01KP6DFXWPKZ12AS254R4W6C09",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "output": "{\"temperature\": \"18°C\", \"condition\": \"Partly cloudy\"}"
    }
  ],
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6ENFR9G5G69TTE5AD9W65W",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "The current weather in Paris is 18 °C with partly cloudy skies.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 117,
    "output_tokens": 67,
    "total_tokens": 184
  }
}

{
  "id": "resp_01KP6FGH8MNQR56ABCDEF789",
  "object": "response",
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6FGH9P8RF80BEBXP0ABCDE",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "I'd be happy to help with order #12345. Let me look that up for you.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 245,
    "output_tokens": 22,
    "total_tokens": 267
  }
}

Guia relacionado: guia da Responses API. Consulte o guia da Responses API para um passo a passo com exemplos.

Este endpoint implementa a especificação OpenResponses, uma interface de LLM interoperável e multiprovedor. O Toqan Router estende a especificação com recursos da plataforma, como variáveis, memória, identidade e ferramentas do Toqan Router. Para um guia completo com exemplos, consulte a documentação da Responses API. Para a continuação de function tools, consulte o guia passo a passo.

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the capital of France?"
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the weather in Paris?",
    "tools": [
      {
        "type": "function",
        "name": "get_weather",
        "description": "Get the current weather for a location",
        "parameters": {
          "type": "object",
          "properties": {
            "location": { "type": "string", "description": "City name" }
          },
          "required": ["location"]
        }
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": [
      {
        "type": "message",
        "role": "user",
        "content": [
          { "type": "input_text", "text": "Describe this image in one sentence." },
          {
            "type": "input_image",
            "image_url": "https://picsum.photos/id/237/200/300",
            "detail": "low"
          }
        ]
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What time is it?",
    "tools": [
      { "type": "orq:current_date" }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "Say hello to {{name}}",
    "variables": {
      "name": "Alice",
      "api_token": { "secret": true, "value": "sk-secret-123" }
    }
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "input": "What is the weather in Paris?",
    "stream": true,
    "tools": [
      {
        "type": "function",
        "name": "get_weather",
        "description": "Get the current weather",
        "parameters": {
          "type": "object",
          "properties": {
            "location": { "type": "string" }
          },
          "required": ["location"]
        }
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "previous_response_id": "resp_01KP6DFXWPKZ12AS254R4W6C08",
    "input": [
      {
        "type": "function_call_output",
        "id": "fco_weather_result",
        "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
        "output": "{\"temperature\": \"18°C\", \"condition\": \"Partly cloudy\"}"
      }
    ]
  }'

curl -X POST https://router.toqan.ai/eu/v3/router/responses \
  -H "Authorization: Bearer $TOQAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "agent/customer_support",
    "input": "I need help with my order #12345"
  }'

{
  "id": "resp_01KP6DFC5FB7K7K10TVP60PF81",
  "object": "response",
  "created_at": 1776184439,
  "completed_at": 1776184439,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6DFCG3RF80BEBXP06XX258",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "The capital of France is Paris.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 83,
    "output_tokens": 54,
    "total_tokens": 137,
    "input_tokens_details": {
      "cached_tokens": 0,
      "cache_creation_tokens": 0
    },
    "output_tokens_details": {
      "reasoning_tokens": 38
    },
    "input_cost": 0.0001245,
    "output_cost": 0.000324,
    "total_cost": 0.0004485
  }
}

{
  "id": "resp_01KP6DFXWPKZ12AS254R4W6C08",
  "object": "response",
  "created_at": 1776184457,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "function_call",
      "id": "fc_01KP6DFY7SE1Z2GBW6G2VDBDNJ",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "name": "get_weather",
      "arguments": "{\"location\":\"Paris\"}",
      "status": "completed"
    }
  ],
  "tools": [
    {
      "type": "function",
      "name": "get_weather",
      "description": "Get the current weather for a location",
      "parameters": {
        "type": "object",
        "properties": {
          "location": { "type": "string", "description": "City name" }
        },
        "required": ["location"]
      }
    }
  ],
  "usage": {
    "input_tokens": 131,
    "output_tokens": 36,
    "total_tokens": 167
  }
}

{
  "id": "resp_01KP6EJD020945A3WCBMD581RH",
  "object": "response",
  "created_at": 1776185587,
  "completed_at": 1776185591,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "input": [
    {
      "type": "message",
      "role": "user",
      "content": [
        { "type": "input_text", "text": "Describe this image in one sentence." },
        { "type": "input_image", "image_url": "https://picsum.photos/id/237/200/300", "detail": "low" }
      ]
    }
  ],
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6EJJ7FKC0SDWVBEC626TCM",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "A cute black puppy sits on a wooden floor, looking up with big, expressive eyes.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 8514,
    "output_tokens": 19,
    "total_tokens": 8533
  }
}

{
  "id": "resp_01KP6GDNJY5B0TT0R35KS23PYV",
  "object": "response",
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "orq:current_date",
      "id": "msg_01kp6gdppk31xp6qc1z92x132p",
      "call_id": "fc_888c598a-b519-421a-9904-e5f0e8c34a53",
      "name": "current_date",
      "status": "completed",
      "result": {
        "currentDate": "2026-04-14T17:25:29.175Z"
      }
    },
    {
      "type": "message",
      "id": "msg_01KP6GDPP6D57H9G7VVFKFW07H",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "It's currently 17:25 UTC (2026‑04‑14).",
          "annotations": []
        }
      ]
    }
  ],
  "tools": [
    { "type": "orq:current_date" }
  ],
  "usage": {
    "input_tokens": 352,
    "output_tokens": 126,
    "total_tokens": 478
  }
}

{
  "id": "resp_01KP6GDRS1FY0VW4V77GTK9P7G",
  "object": "response",
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6GDS6TK09C7RM7GKAFPQ1Z",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "Hello, Alice!",
          "annotations": []
        }
      ]
    }
  ],
  "variables": {
    "name": "Alice"
  },
  "usage": {
    "input_tokens": 75,
    "output_tokens": 67,
    "total_tokens": 142
  }
}

event: response.created
data: {"type":"response.created","sequence_number":1,
  "response":{"id":"resp_01KP6E957P5VF...","status":"in_progress",...}}

event: response.in_progress
data: {"type":"response.in_progress","sequence_number":2,...}

// Reasoning output item
event: response.output_item.added
data: {"type":"response.output_item.added","sequence_number":3,
  "output_index":0,
  "item":{"id":"rs_01kp6e95fs...","type":"reasoning"}}

event: response.reasoning.delta
data: {"type":"response.reasoning.delta","sequence_number":5,
  "item_id":"rs_01kp6e95fs...","output_index":0,
  "delta":"We need to call get_weather..."}

// ...more reasoning deltas...

event: response.reasoning.done
data: {"type":"response.reasoning.done","sequence_number":17,
  "text":"We need to call get_weather function with location \"Paris\"."}

event: response.output_item.done
data: {"type":"response.output_item.done","sequence_number":19,
  "output_index":0,"item":{"type":"reasoning",...}}

// Function call output item
event: response.output_item.added
data: {"type":"response.output_item.added","sequence_number":20,
  "output_index":1,
  "item":{"type":"function_call","id":"fc_63a459e4...",
    "name":"get_weather","arguments":""}}

event: response.function_call_arguments.delta
data: {"type":"response.function_call_arguments.delta",
  "sequence_number":21,
  "item_id":"fc_63a459e4...","output_index":1,
  "delta":"{\"location\":\"Paris\"}"}

event: response.function_call_arguments.done
data: {"type":"response.function_call_arguments.done",
  "sequence_number":22,
  "arguments":"{\"location\":\"Paris\"}"}

event: response.output_item.done
data: {"type":"response.output_item.done","sequence_number":23,
  "output_index":1,
  "item":{"type":"function_call","name":"get_weather",
    "arguments":"{\"location\":\"Paris\"}","status":"completed"}}

event: response.completed
data: {"type":"response.completed","sequence_number":24,
  "response":{"id":"resp_01KP6E957P5VF...","status":"completed",
    "telemetry":{"trace_id":"9f2c1b3a4d5e6f708192a3b4c5d6e7f8","span_id":"1a2b3c4d5e6f7081"},
    "usage":{"input_tokens":123,"output_tokens":36,"total_tokens":159}}}

event: done
data: [DONE]

{
  "id": "resp_01KP6ENF391202692JCGD6YBM5",
  "object": "response",
  "created_at": 1776185687,
  "completed_at": 1776185687,
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "input": [
    {
      "type": "message",
      "id": "msg_01KP6DFXWPKZ12AS254YKHRA8R",
      "role": "user",
      "content": [{ "type": "input_text", "text": "What is the weather in Paris?" }]
    },
    {
      "type": "function_call",
      "id": "fc_01KP6DFY7SE1Z2GBW6G2VDBDNJ",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "name": "get_weather",
      "arguments": "{\"location\":\"Paris\"}"
    },
    {
      "type": "function_call_output",
      "id": "fco_01KP6DFXWPKZ12AS254R4W6C09",
      "call_id": "fc_db65d305-fc9b-456a-8bcd-45385d915844",
      "output": "{\"temperature\": \"18°C\", \"condition\": \"Partly cloudy\"}"
    }
  ],
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6ENFR9G5G69TTE5AD9W65W",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "The current weather in Paris is 18 °C with partly cloudy skies.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 117,
    "output_tokens": 67,
    "total_tokens": 184
  }
}

{
  "id": "resp_01KP6FGH8MNQR56ABCDEF789",
  "object": "response",
  "status": "completed",
  "telemetry": {
    "trace_id": "9f2c1b3a4d5e6f708192a3b4c5d6e7f8",
    "span_id": "1a2b3c4d5e6f7081"
  },
  "model": "openai/gpt-6-astra",
  "output": [
    {
      "type": "message",
      "id": "msg_01KP6FGH9P8RF80BEBXP0ABCDE",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "I'd be happy to help with order #12345. Let me look that up for you.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 245,
    "output_tokens": 22,
    "total_tokens": 267
  }
}

Autorizações

Authorization

string

header

obrigatório

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Corpo

application/json

background

boolean

If true, the response runs asynchronously in the background.

cache

object

Exact-match response cache configuration for this request.

Show child attributes

cache_control

Cache control · object

Top-level cache control automatically applies a cache_control marker to the last cacheable block in the request.

Show child attributes

context_management

object[] | null

Context management entries. One compaction entry summarizes history older than compact_threshold into a single item. See the Context Compaction guide.

Show child attributes

conversation

object

Conversation context for multi-turn interactions.

Show child attributes

fallback_on_codes

integer<int64>[] | null

HTTP status codes that trigger fallback. Defaults to [408,429,500,502,503,504,529]. Each code must be unique and between 400 and 599.

Maximum array length: 20

fallbacks

object[] | null

Fallback models to try if the primary model fails. Each entry specifies a model in provider/model format.

Show child attributes

frequency_penalty

number<double>

Penalize new tokens based on their frequency in the text so far. Between -2.0 and 2.0.

guardrails

object[]

Guardrails to evaluate the request against.

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identity

object

Identity/contact information for the end-user.

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include

string[]

Additional fields to include in the response. Use web_search_call.action.sources to add source URLs and titles to a web search action, or web_search_call.results for detailed results. See the Web search guide.

input

Input to the model: a string or an array of input items (messages, files, etc.).

instructions

string

System prompt / instructions for the model.

integration_id

string

Integration ID used to resolve provider credentials for this request.

limits

object

Bound agent-loop execution. Fields: max_iterations (LLM turns), max_execution_time (seconds), max_cost (USD; send 0 to disable a manifest-configured cap), max_depth (sub-agent nesting), tool_timeout (seconds). Body values override agent-manifest defaults.

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load_balancer

object

Load balancing configuration for selecting among multiple models.

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max_output_tokens

integer<int64>

Maximum number of tokens in the response output.

max_tool_calls

integer<int64>

Maximum number of tool call rounds in the agentic loop.

memory

object

Attach a memory store entity to enable persistent memory across requests. See Memory Stores documentation for setup.

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metadata

object

Developer-defined key-value pairs attached to the response (OpenAI spec: Map<string, string>). Non-string values are rejected with a 400.

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model

string

The model to use in provider/model format (e.g. openai/gpt-4o). Use agent/<key> to invoke a pre-configured agent from this platform.

parallel_tool_calls

boolean

Whether to allow parallel tool calls.

plugins

object[] | null

Request-scoped transforms applied to the text exchanged with the model. Supports pii_redaction, which replaces PII with placeholders before the provider sees it and restores the original values in the response; response_healing, which repairs malformed JSON in non-streaming model output; and trace_scrubbing, which removes selected sensitive fields from exported traces.

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presence_penalty

number<double>

Penalize new tokens based on their presence in the text so far. Between -2.0 and 2.0.

previous_response_id

string

The ID of a previous response to continue from. Requires store to be true (default) on the original response.

prompt_cache_key

string

Key for prompt caching across requests.

prompt_cache_options

object

OpenAI prompt cache options. GPT-5.6 and later support ttl=30m (default) or 12h. 12h cache writes cost twice the 30m rate.

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reasoning

object

Configure reasoning behavior. Set effort (none, minimal, low, medium, high, xhigh, max) to control how much the model thinks before answering. Higher effort means more reasoning tokens and better answers for complex tasks, at higher cost.

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retry

object

Retry configuration. Specify the number of retries and which HTTP status codes should trigger a retry.

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safety_identifier

string

Safety identifier for content filtering.

security

object

Trace masking configuration for request and response data.

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service_tier

enum<string>

Processing mode for the request. Ultrafast is available for GPT-6 Astra on US/global processing. Fast uses premium low-latency processing; priority remains a backward-compatible alias.

Opções disponíveis:

auto,

default,

flex,

fast,

ultrafast,

scale,

priority

speed

enum<string>

Inference speed for direct Anthropic models. Fast mode is available on Claude Opus 4.8, Opus 5, and Opus 5.5 at premium pricing, and cannot be combined with batch or priority processing.

Opções disponíveis:

standard,

fast

stop_sequences

string[]

Custom text sequences that cause the model to stop generating. Forwarded to providers that support it (e.g. Anthropic); ignored otherwise.

store

boolean

Whether to persist the response (default: true). When false, the response cannot be retrieved later and previous_response_id will not work for follow-up requests.

stream

boolean

If true, returns a stream of server-sent events.

stream_options

object

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temperature

number<double>

Sampling temperature between 0 and 2.

template_engine

enum<string>

Template engine for variable substitution in instructions. Defaults to the agent manifest's engine when invoking an agent, otherwise text.

Opções disponíveis:

text,

jinja,

mustache

text

object

Configuration for text output.

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thinking

object

Extended thinking configuration for Google Gemini and Anthropic models. Carries type, budget_tokens, and thinking_level. See the Reasoning guide.

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thread

object

Thread for grouping related requests.

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timeout

object

Provider call timeout configuration in milliseconds.

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tool_choice

How the model should use the provided tools. Can be a string shorthand or a specific function selector.

Opções disponíveis:

auto,

none,

required

tools

Tools available to the model.

A tool definition. The "type" field determines the tool kind.

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top_k

integer<int64>

Only sample from the top K options for each subsequent token. Forwarded to providers that support it (e.g. Anthropic); ignored otherwise.

top_logprobs

integer<int64>

Number of most likely tokens to return at each position.

top_p

number<double>

Nucleus sampling parameter.

variables

object

Template variables for prompt substitution. Plain values fill {{variable}} placeholders in instructions. For secrets, use {"secret": true, "value": "sensitive-data"} — secrets are automatically passed to platform tools (Python, HTTP, MCP) and redacted from traces.

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Resposta

Returns a response object or a stream of events.

background

boolean

obrigatório

completed_at

integer<int64> | null

obrigatório

created_at

integer<int64>

obrigatório

error

object | null

obrigatório

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frequency_penalty

number<double>

obrigatório

string

obrigatório

incomplete_details

object | null

obrigatório

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input

any[] | null

obrigatório

Always null. Retained for compatibility with older SDKs; input content is not returned.

instructions

string | null

obrigatório

max_output_tokens

integer<int64> | null

obrigatório

max_tool_calls

integer<int64> | null

obrigatório

metadata

object

obrigatório

Developer-defined key-value pairs attached to the response (OpenAI spec: Map<string, string>).

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model

string

obrigatório

object

string

obrigatório

Always "response"

output

any[] | null

obrigatório

Array of output items (messages, function calls, reasoning, etc.)

parallel_tool_calls

boolean

obrigatório

presence_penalty

number<double>

obrigatório

previous_response_id

string | null

obrigatório

prompt_cache_key

string | null

obrigatório

prompt_cache_options

object | null

obrigatório

Show child attributes

prompt_cache_retention

string | null

obrigatório

reasoning

object | null

obrigatório

Show child attributes

safety_identifier

string | null

obrigatório

service_tier

enum<string>

obrigatório

Opções disponíveis:

auto,

default,

flex,

fast,

ultrafast,

scale,

priority

status

enum<string>

obrigatório

Opções disponíveis:

queued,

in_progress,

completed,

failed,

incomplete

store

boolean

obrigatório

temperature

number<double>

obrigatório

text

any

obrigatório

Text output configuration including format and verbosity

tool_choice

any

obrigatório

Tool choice setting: "auto", "none", "required", or a specific function

tools

any[] | null

obrigatório

Array of tool configurations used in this response

top_logprobs

integer<int64>

obrigatório

top_p

number<double>

obrigatório

truncation

enum<string>

obrigatório

Opções disponíveis:

disabled,

auto

usage

object | null

obrigatório

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user

string | null

obrigatório

conversation

object

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memory

object

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telemetry

object

OpenTelemetry trace and span identifiers for this response.

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top_k

integer<int64>

Only sample from the top K options for each subsequent token. Present only when set on the request.

variables

object

Show child attributes

Clientes HTTP

APIs da plataforma

APIs de gerenciamento

Autorizações

Corpo

Resposta