---
title: OpenAI Responses | RunAPI
description: Eine Anfrage über RunAPIs OpenAI-kompatible Responses-Operation senden.
url: https://runapi.ai/de/docs/api/openai/responses.md
canonical: https://runapi.ai/de/docs/api/openai/responses
locale: de
---

> HTML-Version: https://runapi.ai/de/docs/api/openai/responses
> Website-Index für KI-Agenten: https://runapi.ai/llms.txt

# OpenAI Responses

## Übersicht

Verwende RunAPI's OpenAI-kompatible Responses-Operation mit einem kompatiblen Modell sowie den Anfrage- und Antwortstrukturen des Protokolls.

### Schnellstart

1. Erstellen Sie einen API-Schlüssel und setzen Sie ihn als RUNAPI_API_KEY.
2. Wählen Sie ein kompatibles Modell, senden Sie dann die dokumentierten Pfadparameter und den JSON-Body.
3. Lesen Sie die für diesen Vorgang angezeigte JSON-Antwort oder die server-sent events und behandeln Sie Protokollfehler.

## Endpunkt

POST /v1/responses

Basis-URL: https://runapi.ai

Vertragsversion: v1

Bevorzugte Authentifizierung: Authorization: Bearer YOUR_API_TOKEN

## Authentifizierungsträger

RunAPI akzeptiert jeden der unten aufgeführten Träger. Generierte Beispiele verwenden den bevorzugten Header des Protokolls.

- `Authorization: Bearer YOUR_API_TOKEN` (Bevorzugt)
- `x-api-key: YOUR_API_TOKEN`
- `x-goog-api-key: YOUR_API_TOKEN`
- `?key=YOUR_API_TOKEN`

## Kompatible Modelle

Öffnen Sie eine Modellseite für aktuelle Preise, Ratenlimits und Details zur kommerziellen Nutzung.

- [claude-fable-5-1](https://runapi.ai/de/models/claude)
- [claude-fable-5](https://runapi.ai/de/models/claude)
- [claude-sonnet-5](https://runapi.ai/de/models/claude)
- [claude-opus-5](https://runapi.ai/de/models/claude)
- [claude-opus-4-8](https://runapi.ai/de/models/claude)
- [claude-opus-4-7](https://runapi.ai/de/models/claude)
- [claude-opus-4-6](https://runapi.ai/de/models/claude)
- [claude-sonnet-4-6](https://runapi.ai/de/models/claude)
- [claude-opus-4-5-20251101](https://runapi.ai/de/models/claude)
- [claude-sonnet-4-5-20250929](https://runapi.ai/de/models/claude)
- [claude-haiku-4-5-20251001](https://runapi.ai/de/models/claude)
- [claude-opus-4-1-20250805](https://runapi.ai/de/models/claude)
- [gpt-5.5](https://runapi.ai/de/models/gpt)
- [gpt-5.5-pro](https://runapi.ai/de/models/gpt)
- [gpt-5.4](https://runapi.ai/de/models/gpt)
- [gpt-5.4-mini](https://runapi.ai/de/models/gpt)
- [gpt-5.4-nano](https://runapi.ai/de/models/gpt)
- [gpt-5.4-pro](https://runapi.ai/de/models/gpt)
- [gpt-5.3-codex](https://runapi.ai/de/models/gpt)
- [gpt-5.3-codex-spark](https://runapi.ai/de/models/gpt)
- [gpt-5.6-luna](https://runapi.ai/de/models/gpt)
- [gpt-5.6-sol](https://runapi.ai/de/models/gpt)
- [gpt-5.6-terra](https://runapi.ai/de/models/gpt)
- [gpt-6-astra](https://runapi.ai/de/models/gpt)
- [gemini-3.6-flash](https://runapi.ai/de/models/gemini)
- [gemini-3.5-flash](https://runapi.ai/de/models/gemini)
- [gemini-3.1-pro-preview](https://runapi.ai/de/models/gemini)
- [gemini-3-flash-preview](https://runapi.ai/de/models/gemini)
- [gemini-2.5-pro](https://runapi.ai/de/models/gemini)
- [gemini-2.5-flash](https://runapi.ai/de/models/gemini)
- [deepseek-v4-flash-vision-exp](https://runapi.ai/de/models/deepseek)
- [deepseek-v4-pro](https://runapi.ai/de/models/deepseek)
- [deepseek-v4-flash](https://runapi.ai/de/models/deepseek)
- [glm-5.2](https://runapi.ai/de/models/glm)
- [glm-5.1](https://runapi.ai/de/models/glm)
- [glm-5-turbo](https://runapi.ai/de/models/glm)
- [glm-5](https://runapi.ai/de/models/glm)
- [glm-4.7](https://runapi.ai/de/models/glm)
- [glm-4.6](https://runapi.ai/de/models/glm)
- [glm-4.5](https://runapi.ai/de/models/glm)
- [glm-4.5-air](https://runapi.ai/de/models/glm)
- [kimi-k3](https://runapi.ai/de/models/kimi)
- [kimi-k2.7-code](https://runapi.ai/de/models/kimi)
- [kimi-k2.6](https://runapi.ai/de/models/kimi)
- [kimi-k2.5](https://runapi.ai/de/models/kimi)
- [MiniMax-M3](https://runapi.ai/de/models/minimax)
- [MiniMax-M2.7](https://runapi.ai/de/models/minimax)
- [MiniMax-M2.7-highspeed](https://runapi.ai/de/models/minimax)
- [MiniMax-M2.5](https://runapi.ai/de/models/minimax)
- [MiniMax-M2.5-highspeed](https://runapi.ai/de/models/minimax)
- [MiniMax-M2.1](https://runapi.ai/de/models/minimax)
- [MiniMax-M2](https://runapi.ai/de/models/minimax)
- [mimo-v2.5-pro](https://runapi.ai/de/models/mimo)
- [mimo-v2.5](https://runapi.ai/de/models/mimo)
- [grok-4.20-0309-non-reasoning](https://runapi.ai/de/models/grok)
- [grok-4.6](https://runapi.ai/de/models/grok)
- [grok-4.5](https://runapi.ai/de/models/grok)
- [grok-4.3](https://runapi.ai/de/models/grok)

## Anfrage-Vertrag

Es werden nur Felder aufgeführt, für die sowohl öffentliche Protokoll- als auch RunAPI-Unterstützung belegt ist. Weitere JSON-Body-Felder werden durchgereicht.

### JSON-Body

Erforderlich: `model`

```json
{
  "input": {
    "description": "Text, Nachrichtenelemente oder Tool-Ergebnisse, die dem Modell bereitgestellt werden.",
    "type": [
      "string",
      "array"
    ]
  },
  "instructions": {
    "description": "System- oder Entwickleranweisungen für diese Antwort.",
    "type": [
      "string",
      "null"
    ]
  },
  "max_output_tokens": {
    "description": "Maximale Anzahl von Ausgabe-Tokens, einschließlich sichtbarer und Reasoning-Tokens.",
    "type": [
      "integer",
      "null"
    ]
  },
  "model": {
    "description": "RunAPI-Modellbezeichner, der vom kompatiblen Modellkatalog zurückgegeben wird.",
    "type": "string"
  },
  "moderation": {
    "additionalProperties": true,
    "description": "Unabhängige Moderationssignale für die aktuelle Eingabe und die vollständige Ausgabe zurückgeben.",
    "properties": {
      "model": {
        "enum": [
          "omni-moderation-latest"
        ],
        "type": "string"
      },
      "policy": {
        "additionalProperties": true,
        "properties": {
          "input": {
            "additionalProperties": true,
            "properties": {
              "mode": {
                "enum": [
                  "score",
                  "block"
                ],
                "type": "string"
              }
            },
            "required": [
              "mode"
            ],
            "type": [
              "object",
              "null"
            ]
          },
          "output": {
            "additionalProperties": true,
            "properties": {
              "mode": {
                "enum": [
                  "score",
                  "block"
                ],
                "type": "string"
              }
            },
            "required": [
              "mode"
            ],
            "type": [
              "object",
              "null"
            ]
          }
        },
        "type": [
          "object",
          "null"
        ]
      }
    },
    "required": [
      "model"
    ],
    "type": [
      "object",
      "null"
    ]
  },
  "stream": {
    "default": false,
    "description": "Typisierte Responses-Ereignisse als Server-Sent Events zurückgeben.",
    "type": [
      "boolean",
      "null"
    ]
  },
  "tools": {
    "description": "Tools, die das Modell aufrufen darf.",
    "type": "array"
  }
}
```

### Anfragebeispiel

```json
{
  "input": "Summarize one practical improvement for an API deployment.",
  "model": "gpt-5.4",
  "moderation": {
    "model": "omni-moderation-latest",
    "policy": {
      "input": {
        "mode": "score"
      },
      "output": {
        "mode": "block"
      }
    }
  }
}
```

## Synchrone Antwort

HTTP 200

### Schema

```json
{
  "additionalProperties": true,
  "properties": {
    "id": {
      "type": "string"
    },
    "model": {
      "type": "string"
    },
    "moderation": {
      "additionalProperties": true,
      "properties": {
        "input": {
          "oneOf": [
            {
              "additionalProperties": true,
              "properties": {
                "categories": {
                  "additionalProperties": true,
                  "type": "object"
                },
                "category_applied_input_types": {
                  "additionalProperties": true,
                  "type": "object"
                },
                "category_scores": {
                  "additionalProperties": true,
                  "type": "object"
                },
                "flagged": {
                  "type": "boolean"
                },
                "model": {
                  "const": "omni-moderation-latest",
                  "type": "string"
                },
                "type": {
                  "const": "moderation_result",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "model",
                "flagged",
                "categories",
                "category_scores",
                "category_applied_input_types"
              ],
              "type": "object"
            },
            {
              "additionalProperties": true,
              "properties": {
                "code": {
                  "type": "string"
                },
                "message": {
                  "type": "string"
                },
                "type": {
                  "const": "error",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "code",
                "message"
              ],
              "type": "object"
            }
          ]
        },
        "output": {
          "oneOf": [
            {
              "additionalProperties": true,
              "properties": {
                "categories": {
                  "additionalProperties": true,
                  "type": "object"
                },
                "category_applied_input_types": {
                  "additionalProperties": true,
                  "type": "object"
                },
                "category_scores": {
                  "additionalProperties": true,
                  "type": "object"
                },
                "flagged": {
                  "type": "boolean"
                },
                "model": {
                  "const": "omni-moderation-latest",
                  "type": "string"
                },
                "type": {
                  "const": "moderation_result",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "model",
                "flagged",
                "categories",
                "category_scores",
                "category_applied_input_types"
              ],
              "type": "object"
            },
            {
              "additionalProperties": true,
              "properties": {
                "code": {
                  "type": "string"
                },
                "message": {
                  "type": "string"
                },
                "type": {
                  "const": "error",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "code",
                "message"
              ],
              "type": "object"
            }
          ]
        }
      },
      "required": [
        "input",
        "output"
      ],
      "type": "object"
    },
    "object": {
      "const": "response",
      "type": "string"
    },
    "output": {
      "type": "array"
    },
    "status": {
      "type": "string"
    },
    "usage": {
      "additionalProperties": true,
      "properties": {
        "input_tokens": {
          "type": "integer"
        },
        "output_tokens": {
          "type": "integer"
        },
        "total_tokens": {
          "type": "integer"
        }
      },
      "required": [
        "input_tokens",
        "output_tokens",
        "total_tokens"
      ],
      "type": "object"
    }
  },
  "required": [
    "id",
    "object",
    "status",
    "model",
    "output"
  ],
  "type": "object"
}
```

### Beispiel

```json
{
  "id": "resp_example",
  "model": "gpt-5.4",
  "moderation": {
    "input": {
      "categories": {
        "sexual": false,
        "violence": true
      },
      "category_applied_input_types": {
        "sexual": [
          "text"
        ],
        "violence": [
          "text"
        ]
      },
      "category_scores": {
        "sexual": 0.0002,
        "violence": 0.96
      },
      "flagged": true,
      "model": "omni-moderation-latest",
      "type": "moderation_result"
    },
    "output": {
      "categories": {
        "sexual": false,
        "violence": false
      },
      "category_applied_input_types": {
        "sexual": [
          "text"
        ],
        "violence": [
          "text"
        ]
      },
      "category_scores": {
        "sexual": 0.0002,
        "violence": 0.0001
      },
      "flagged": false,
      "model": "omni-moderation-latest",
      "type": "moderation_result"
    }
  },
  "object": "response",
  "output": [
    {
      "content": [
        {
          "annotations": [],
          "text": "Hello! How can I help today?",
          "type": "output_text"
        }
      ],
      "id": "msg_example",
      "role": "assistant",
      "status": "completed",
      "type": "message"
    }
  ],
  "status": "completed",
  "usage": {
    "input_tokens": 12,
    "output_tokens": 8,
    "total_tokens": 20
  }
}
```

## SSE event: output_text_delta

Medientyp: `text/event-stream`

### Schema

```json
{
  "additionalProperties": true,
  "properties": {
    "content_index": {
      "type": "integer"
    },
    "delta": {
      "type": "string"
    },
    "item_id": {
      "type": "string"
    },
    "output_index": {
      "type": "integer"
    },
    "type": {
      "const": "response.output_text.delta",
      "type": "string"
    }
  },
  "required": [
    "type",
    "item_id",
    "output_index",
    "content_index",
    "delta"
  ],
  "type": "object"
}
```

### Beispiel

```json
{
  "content_index": 0,
  "delta": "Hello",
  "item_id": "msg_example",
  "output_index": 0,
  "type": "response.output_text.delta"
}
```

## SSE-Ereignis: Abgeschlossen

Medientyp: `text/event-stream`

### Schema

```json
{
  "additionalProperties": true,
  "properties": {
    "response": {
      "additionalProperties": true,
      "properties": {
        "id": {
          "type": "string"
        },
        "model": {
          "type": "string"
        },
        "moderation": {
          "additionalProperties": true,
          "properties": {
            "input": {
              "oneOf": [
                {
                  "additionalProperties": true,
                  "properties": {
                    "categories": {
                      "additionalProperties": true,
                      "type": "object"
                    },
                    "category_applied_input_types": {
                      "additionalProperties": true,
                      "type": "object"
                    },
                    "category_scores": {
                      "additionalProperties": true,
                      "type": "object"
                    },
                    "flagged": {
                      "type": "boolean"
                    },
                    "model": {
                      "const": "omni-moderation-latest",
                      "type": "string"
                    },
                    "type": {
                      "const": "moderation_result",
                      "type": "string"
                    }
                  },
                  "required": [
                    "type",
                    "model",
                    "flagged",
                    "categories",
                    "category_scores",
                    "category_applied_input_types"
                  ],
                  "type": "object"
                },
                {
                  "additionalProperties": true,
                  "properties": {
                    "code": {
                      "type": "string"
                    },
                    "message": {
                      "type": "string"
                    },
                    "type": {
                      "const": "error",
                      "type": "string"
                    }
                  },
                  "required": [
                    "type",
                    "code",
                    "message"
                  ],
                  "type": "object"
                }
              ]
            },
            "output": {
              "oneOf": [
                {
                  "additionalProperties": true,
                  "properties": {
                    "categories": {
                      "additionalProperties": true,
                      "type": "object"
                    },
                    "category_applied_input_types": {
                      "additionalProperties": true,
                      "type": "object"
                    },
                    "category_scores": {
                      "additionalProperties": true,
                      "type": "object"
                    },
                    "flagged": {
                      "type": "boolean"
                    },
                    "model": {
                      "const": "omni-moderation-latest",
                      "type": "string"
                    },
                    "type": {
                      "const": "moderation_result",
                      "type": "string"
                    }
                  },
                  "required": [
                    "type",
                    "model",
                    "flagged",
                    "categories",
                    "category_scores",
                    "category_applied_input_types"
                  ],
                  "type": "object"
                },
                {
                  "additionalProperties": true,
                  "properties": {
                    "code": {
                      "type": "string"
                    },
                    "message": {
                      "type": "string"
                    },
                    "type": {
                      "const": "error",
                      "type": "string"
                    }
                  },
                  "required": [
                    "type",
                    "code",
                    "message"
                  ],
                  "type": "object"
                }
              ]
            }
          },
          "required": [
            "input",
            "output"
          ],
          "type": "object"
        },
        "object": {
          "const": "response",
          "type": "string"
        },
        "output": {
          "type": "array"
        },
        "status": {
          "type": "string"
        },
        "usage": {
          "additionalProperties": true,
          "properties": {
            "input_tokens": {
              "type": "integer"
            },
            "output_tokens": {
              "type": "integer"
            },
            "total_tokens": {
              "type": "integer"
            }
          },
          "required": [
            "input_tokens",
            "output_tokens",
            "total_tokens"
          ],
          "type": "object"
        }
      },
      "required": [
        "id",
        "object",
        "status",
        "model",
        "output",
        "usage"
      ],
      "type": "object"
    },
    "type": {
      "const": "response.completed",
      "type": "string"
    }
  },
  "required": [
    "type",
    "response"
  ],
  "type": "object"
}
```

### Beispiel

```json
{
  "response": {
    "id": "resp_example",
    "model": "gpt-5.4",
    "moderation": {
      "input": {
        "categories": {
          "sexual": false,
          "violence": true
        },
        "category_applied_input_types": {
          "sexual": [
            "text"
          ],
          "violence": [
            "text"
          ]
        },
        "category_scores": {
          "sexual": 0.0002,
          "violence": 0.96
        },
        "flagged": true,
        "model": "omni-moderation-latest",
        "type": "moderation_result"
      },
      "output": {
        "categories": {
          "sexual": false,
          "violence": false
        },
        "category_applied_input_types": {
          "sexual": [
            "text"
          ],
          "violence": [
            "text"
          ]
        },
        "category_scores": {
          "sexual": 0.0002,
          "violence": 0.0001
        },
        "flagged": false,
        "model": "omni-moderation-latest",
        "type": "moderation_result"
      }
    },
    "object": "response",
    "output": [
      {
        "content": [
          {
            "annotations": [],
            "text": "Hello! How can I help today?",
            "type": "output_text"
          }
        ],
        "id": "msg_example",
        "role": "assistant",
        "status": "completed",
        "type": "message"
      }
    ],
    "status": "completed",
    "usage": {
      "input_tokens": 12,
      "output_tokens": 8,
      "total_tokens": 20
    }
  },
  "type": "response.completed"
}
```

## Protokollfehler: invalid_request

HTTP 400

### Schema

```json
{
  "additionalProperties": true,
  "properties": {
    "error": {
      "additionalProperties": true,
      "properties": {
        "code": {
          "type": [
            "string",
            "null"
          ]
        },
        "message": {
          "type": "string"
        },
        "param": {
          "type": [
            "string",
            "null"
          ]
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "message",
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "error"
  ],
  "type": "object"
}
```

### Beispiel

```json
{
  "error": {
    "code": null,
    "message": "input must be a string or an array",
    "param": "input",
    "type": "invalid_request_error"
  }
}
```

## Verwendung

### Schema

```json
{
  "additionalProperties": true,
  "properties": {
    "input_tokens": {
      "type": "integer"
    },
    "output_tokens": {
      "type": "integer"
    },
    "total_tokens": {
      "type": "integer"
    }
  },
  "required": [
    "input_tokens",
    "output_tokens",
    "total_tokens"
  ],
  "type": "object"
}
```

### Beispiel

```json
{
  "input_tokens": 12,
  "output_tokens": 8,
  "total_tokens": 20
}
```

## Generierte Code-Beispiele

Jedes cURL-, JavaScript- und Python-Beispiel sendet die validierte Anfrage aus diesem Vertrag, ohne ein protokollspezifisches SDK zu benötigen.

### curl

```curl
curl -X POST https://runapi.ai/v1/responses \
  -H Authorization:\ Bearer\ YOUR_API_TOKEN \
  -H Content-Type:\ application/json \
  -d \{\"model\":\"gpt-5.4\",\"input\":\"Summarize\ one\ practical\ improvement\ for\ an\ API\ deployment.\",\"moderation\":\{\"model\":\"omni-moderation-latest\",\"policy\":\{\"input\":\{\"mode\":\"score\"\},\"output\":\{\"mode\":\"block\"\}\}\}\}
```

### javascript

```javascript
const response = await fetch("https://runapi.ai/v1/responses", {
  method: "POST",
  headers: {
  "Authorization": "Bearer YOUR_API_TOKEN",
  "Content-Type": "application/json"
},
  body: JSON.stringify({
  "model": "gpt-5.4",
  "input": "Summarize one practical improvement for an API deployment.",
  "moderation": {
    "model": "omni-moderation-latest",
    "policy": {
      "input": {
        "mode": "score"
      },
      "output": {
        "mode": "block"
      }
    }
  }
})
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const data = await response.json();
console.log(data);
```

### python

#### Installieren

```bash
pip install requests
```

```python
import requests

response = requests.post(
    "https://runapi.ai/v1/responses",
    headers={"Authorization": "Bearer YOUR_API_TOKEN", "Content-Type": "application/json"},
    json={"model": "gpt-5.4", "input": "Summarize one practical improvement for an API deployment.", "moderation": {"model": "omni-moderation-latest", "policy": {"input": {"mode": "score"}, "output": {"mode": "block"}}}}
)
response.raise_for_status()
print(response.json())
```

## Verwandte Anleitungen

- [Authentifizierung](https://runapi.ai/de/docs/guides/authentication.md)
- [Schnellstart](https://runapi.ai/de/docs/guides/llm-api/quickstart.md)

---

## Mehr von RunAPI

- [Startseite](https://runapi.ai/de/.md)
- [Modellkatalog](https://runapi.ai/de/models.md)
- [Preise](https://runapi.ai/de/pricing.md)
- [Anbieter](https://runapi.ai/de/models)
- [Dokumentation](https://runapi.ai/de/docs/guides)
- [SDKs](https://runapi.ai/de/sdk.md)
- [CLI](https://runapi.ai/de/cli.md)
- [MCP Server](https://runapi.ai/de/mcp.md)
- [Claude Code vs Cursor](https://runapi.ai/de/claude-code-vs-cursor.md)
- [Cursor API-Einrichtung](https://runapi.ai/de/cursor-api-setup.md)
- [RunAPI vs OpenRouter](https://runapi.ai/de/openrouter-alternative.md)
- [Enterprise](https://runapi.ai/de/contact.md)
- [Kontakt](https://runapi.ai/de/contact.md)
- [Bedingungen](https://runapi.ai/de/terms.md)
- [Datenschutz](https://runapi.ai/de/privacy.md)
- [Website-Index für KI-Agenten](https://runapi.ai/llms.txt)

Kontakt: contact@runapi.ai

## Strukturierte Daten

```json
[
  {
    "@context": "https://schema.org",
    "inLanguage": "de",
    "@type": "WebSite",
    "name": "RunAPI",
    "url": "https://runapi.ai/de",
    "potentialAction": {
      "@type": "SearchAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://runapi.ai/de/models?q={search_term_string}"
      },
      "query-input": "required name=search_term_string"
    }
  },
  {
    "@context": "https://schema.org",
    "inLanguage": "de",
    "@type": "Organization",
    "name": "RunAPI",
    "url": "https://runapi.ai/de",
    "logo": {
      "@type": "ImageObject",
      "url": "https://runapi.ai/deicon.svg"
    },
    "sameAs": [
      "https://github.com/runapi-ai"
    ]
  },
  {
    "@context": "https://schema.org",
    "inLanguage": "de",
    "@type": "TechArticle",
    "headline": "OpenAI Responses",
    "description": "Eine Anfrage über RunAPIs OpenAI-kompatible Responses-Operation senden.",
    "url": "https://runapi.ai/de/docs/api/openai/responses",
    "mainEntityOfPage": "https://runapi.ai/de/docs/api/openai/responses"
  }
]
```