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Endpoint added: GET /v1/videos/{}
openapi:GET /v1/videos/{}::operation.endpoint-added- Product
- DigitalOcean API
- Source
- OpenAPI URL
- Change kind
- Endpoint Added
- Detected
- Last updated
Deterministic evidence
Before / after
Extracted from DigitalOcean's published contract. Shows the whole operation — a narrower excerpt was not available for this change. Open the source ↗
null
{
"operationId": "inference_get_video",
"parameters": [
{
"in": "path",
"name": "video_id",
"required": true,
"schema": {
"type": "string"
}
}
],
"responses": {
"200": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/video_generation"
}
}
},
"headers": {
"ratelimit-limit": {
"$ref": "#/components/headers/ratelimit-limit"
},
"ratelimit-remaining": {
"$ref": "#/components/headers/ratelimit-remaining"
},
"ratelimit-reset": {
"$ref": "#/components/headers/ratelimit-reset"
}
}
},
"401": {
"$ref": "#/components/responses/unauthorized"
},
"404": {
"$ref": "#/components/responses/not_found"
},
"429": {
"$ref": "#/components/responses/too_many_requests"
},
"500": {
"$ref": "#/components/responses/server_error"
},
"default": {
"$ref": "#/components/responses/unexpected_error"
}
},
"security": [
{
"inference_bearer_auth": []
}
],
"servers": [
{
"url": "https://inference.do-ai.run"
}
],
"tags": [
"Serverless Inference"
],
"x-codeSamples": [
{
"lang": "cURL",
"source": "curl https://inference.do-ai.run/v1/videos/$VIDEO_ID \\\n -H \"Authorization: Bearer $DIGITALOCEAN_TOKEN\""
},
{
"lang": "Python",
"source": "import os\nfrom pydo.inference import Client\n\nclient = Client(token=os.environ.get(\"DIGITALOCEAN_TOKEN\"))\n\njob = client.video.generations.retrieve(os.environ[\"VIDEO_ID\"])\nprint(job.id, job.status)"
},
{
"lang": "Go",
"source": "package main\n\nimport (\n \"context\"\n \"fmt\"\n \"os\"\n\n \"github.com/digitalocean/godo\"\n)\n\nfunc main() {\n client := godo.NewFromToken(os.Getenv(\"DIGITALOCEAN_TOKEN\"))\n ctx := context.Background()\n\n job, _, err := client.Video.Generations.Get(ctx, os.Getenv(\"VIDEO_ID\"))\n if err != nil {\n panic(err)\n }\n\n fmt.Println(job.ID, job.Status)\n}"
},
{
"lang": "JavaScript",
"source": "import { InferenceClient } from \"@digitalocean/dots\";\n\nconst client = new InferenceClient({\n apiKey: process.env.DIGITALOCEAN_TOKEN,\n});\n\nconst job = await client.video.generations.retrieve(process.env.VIDEO_ID);\nconsole.log(job.id, job.status);"
}
],
"x-inference-base-url": "https://inference.do-ai.run"
}
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