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",
  "tags": [
    "ai",
    "video",
    "runway"
  ],
  "definition": {
    "version": "v0.2.1",
    "name": "Runway Video HTTP",
    "description": "Submit one paid Gen-4.5 video task over HTTP. Returns the job reference and fixed-origin task URL. Poll in the parent graph to preserve async resume state without resubmitting. Requires RUNWAYML_API_SECRET. Prompt-only generation verified on development; image mode and production execution untested.",
    "nodes": [
      {
        "node_instance_id": "image",
        "node_id": "n_text_value",
        "node_version": "1.0.0",
        "title": "Image",
        "params": {
          "text": ""
        }
      },
      {
        "node_instance_id": "has_image",
        "node_id": "n_text_match",
        "node_version": "1.0.0",
        "title": "Has Image",
        "params": {
          "pattern": ".",
          "flags": "s",
          "operation": "test"
        }
      },
      {
        "node_instance_id": "endpoint",
        "node_id": "n_conditional",
        "node_version": "1.0.0",
        "title": "Endpoint",
        "params": {
          "when_true": [
            "image_to_video"
          ],
          "when_false": [
            "text_to_video"
          ]
        }
      },
      {
        "node_instance_id": "api_base",
        "node_id": "n_url_input",
        "node_version": "1.0.0",
        "title": "Api Base",
        "params": {
          "url": "https://api.dev.runwayml.com/v1"
        }
      },
      {
        "node_instance_id": "body",
        "node_id": "n_json_template",
        "node_version": "1.0.0",
        "title": "Body",
        "params": {
          "template": {
            "model": "gen4.5",
            "promptText": "{{ inputs.prompt }}",
            "promptImage?": "{{ inputs.image_url }}",
            "duration": "{{ inputs.duration }}",
            "ratio": "{{ inputs.ratio }}"
          }
        },
        "custom_inputs": {
          "prompt": "str",
          "image_url": "str",
          "duration": "int",
          "ratio": "str"
        },
        "literal_inputs": {
          "duration": 5,
          "ratio": "1280:720"
        }
      },
      {
        "node_instance_id": "submit_url",
        "node_id": "n_url_builder",
        "node_version": "1.0.0",
        "title": "Submit Url",
        "params": {
          "query": {}
        },
        "exposed_inputs": [
          "base",
          "segments"
        ],
        "inputs_visibility_configured": true
      },
      {
        "node_instance_id": "submit",
        "node_id": "n_http_submit_job",
        "node_version": "1.0.0",
        "title": "Submit",
        "params": {
          "method": "POST",
          "headers": {
            "Authorization": "Bearer {{ secrets.RUNWAYML_API_SECRET }}",
            "X-Runway-Version": "2024-11-06",
            "Content-Type": "application/json"
          },
          "job_id_path": "id",
          "status_url_path": "",
          "poll_after_seconds": 10
        },
        "exposed_inputs": [
          "url",
          "body"
        ],
        "inputs_visibility_configured": true
      },
      {
        "node_instance_id": "task_id",
        "node_id": "n_json_path",
        "node_version": "1.0.0",
        "title": "Task Id",
        "params": {
          "path": "id"
        }
      },
      {
        "node_instance_id": "task_base",
        "node_id": "n_url_input",
        "node_version": "1.0.0",
        "title": "Task Base",
        "params": {
          "url": "https://api.dev.runwayml.com/v1/tasks"
        }
      },
      {
        "node_instance_id": "task_segments",
        "node_id": "n_json_template",
        "node_version": "1.0.0",
        "title": "Task Segments",
        "params": {
          "template": [
            "{{ inputs.task_id }}"
          ]
        },
        "custom_inputs": {
          "task_id": "json"
        }
      },
      {
        "node_instance_id": "task_url",
        "node_id": "n_url_builder",
        "node_version": "1.0.0",
        "title": "Task Url",
        "params": {
          "query": {}
        },
        "exposed_inputs": [
          "base",
          "segments"
        ],
        "inputs_visibility_configured": true
      }
    ],
    "edges": [
      {
        "source_node_id": "image",
        "source_output": "text",
        "target_node_id": "body",
        "target_input": "image_url"
      },
      {
        "source_node_id": "image",
        "source_output": "text",
        "target_node_id": "has_image",
        "target_input": "text"
      },
      {
        "source_node_id": "has_image",
        "source_output": "matched",
        "target_node_id": "endpoint",
        "target_input": "condition"
      },
      {
        "source_node_id": "endpoint",
        "source_output": "value",
        "target_node_id": "submit_url",
        "target_input": "segments"
      },
      {
        "source_node_id": "api_base",
        "source_output": "url",
        "target_node_id": "submit_url",
        "target_input": "base"
      },
      {
        "source_node_id": "submit_url",
        "source_output": "url",
        "target_node_id": "submit",
        "target_input": "url"
      },
      {
        "source_node_id": "body",
        "source_output": "value",
        "target_node_id": "submit",
        "target_input": "body"
      },
      {
        "source_node_id": "submit",
        "source_output": "response",
        "target_node_id": "task_id",
        "target_input": "value"
      },
      {
        "source_node_id": "task_id",
        "source_output": "value",
        "target_node_id": "task_segments",
        "target_input": "task_id"
      },
      {
        "source_node_id": "task_base",
        "source_output": "url",
        "target_node_id": "task_url",
        "target_input": "base"
      },
      {
        "source_node_id": "task_segments",
        "source_output": "value",
        "target_node_id": "task_url",
        "target_input": "segments"
      }
    ],
    "graph_inputs": {
      "prompt": {
        "type": "str",
        "required": true,
        "default_node": "body",
        "default_input": "prompt"
      },
      "image_url": {
        "type": "url",
        "required": false,
        "default_node": "image",
        "default_param": "text"
      },
      "duration": {
        "type": "int",
        "required": false,
        "default_node": "body",
        "default_input": "duration"
      },
      "ratio": {
        "type": "str",
        "required": false,
        "default_node": "body",
        "default_input": "ratio"
      }
    },
    "graph_outputs": {
      "job": {
        "node_instance_id": "submit",
        "output_name": "remote_job"
      },
      "task_url": {
        "node_instance_id": "task_url",
        "output_name": "url"
      },
      "task_id": {
        "node_instance_id": "task_id",
        "output_name": "value"
      },
      "submission_response": {
        "node_instance_id": "submit",
        "output_name": "response"
      }
    },
    "metadata": {
      "template": {
        "category": "ai",
        "status": "prompt-tested-image-pending",
        "composite_interface": {
          "inputs": {
            "prompt": {
              "type": "str",
              "required": true,
              "default_node": "body",
              "default_input": "prompt"
            },
            "image_url": {
              "type": "url",
              "required": false,
              "default_node": "image",
              "default_param": "text"
            },
            "duration": {
              "type": "int",
              "required": false,
              "default_node": "body",
              "default_input": "duration"
            },
            "ratio": {
              "type": "str",
              "required": false,
              "default_node": "body",
              "default_input": "ratio"
            }
          },
          "outputs": {
            "job": {
              "type": "json",
              "node_instance_id": "submit",
              "output_name": "remote_job"
            },
            "task_url": {
              "type": "url",
              "node_instance_id": "task_url",
              "output_name": "url"
            },
            "task_id": {
              "type": "json",
              "node_instance_id": "task_id",
              "output_name": "value"
            },
            "submission_response": {
              "type": "json",
              "node_instance_id": "submit",
              "output_name": "response"
            }
          }
        },
        "requires": {
          "secrets": [
            "RUNWAYML_API_SECRET"
          ],
          "capabilities": [
            "public-http",
            "async-execution"
          ],
          "nodes": [
            "n_conditional",
            "n_http_submit_job",
            "n_json_path",
            "n_json_template",
            "n_text_match",
            "n_text_value",
            "n_url_builder",
            "n_url_input"
          ]
        }
      },
      "canvas": {
        "positions": {
          "image": {
            "x": 80,
            "y": 80
          },
          "has_image": {
            "x": 380,
            "y": 80
          },
          "endpoint": {
            "x": 680,
            "y": 80
          },
          "api_base": {
            "x": 980,
            "y": 80
          },
          "body": {
            "x": 80,
            "y": 300
          },
          "submit_url": {
            "x": 380,
            "y": 300
          },
          "submit": {
            "x": 680,
            "y": 300
          },
          "task_id": {
            "x": 980,
            "y": 300
          },
          "task_base": {
            "x": 80,
            "y": 520
          },
          "task_segments": {
            "x": 380,
            "y": 520
          },
          "task_url": {
            "x": 680,
            "y": 520
          }
        }
      }
    }
  }
}