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POST
/
v1
/
responses
Create Response
curl --request POST \
  --url https://external.nebius.tensormesh.ai/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --header 'X-User-Id: <x-user-id>' \
  --data '
{
  "model": "openai-gpt-oss-120b-gpu-type-h200x1_8nic16",
  "input": "Say hello."
}
'
{
  "id": "resp_123",
  "object": "response",
  "model": "<string>",
  "output": [
    {
      "id": "out_123",
      "type": "message",
      "role": "<string>",
      "status": "<string>",
      "content": [
        {
          "type": "output_text",
          "text": "hello",
          "annotations": [
            {}
          ]
        }
      ]
    }
  ],
  "created_at": 123,
  "status": "<string>"
}

Documentation Index

Fetch the complete documentation index at: https://docs.tensormesh.ai/llms.txt

Use this file to discover all available pages before exploring further.

Use this page when you want the routed On-Demand responses endpoint over raw HTTP.
  • Auth: Authorization: Bearer <API_KEY>
  • Routing: required X-User-Id: <uuid>
  • Host: choose the external Tensormesh host for your provider
  • Model: pass a served On-Demand model name in the JSON request body

Authorizations

​
Authorization
string
header
required

Bearer authentication using your On-Demand API key. Format: Bearer <API_KEY>

Headers

​
X-User-Id
string<uuid>
required

Tensormesh user id used for attribution and routing.

Body

application/json
​
model
string
required

On-Demand served model name to use.

Example:

"openai-gpt-oss-120b-gpu-type-h200x1_8nic16"

​
input
any
required

Input passed to the responses endpoint.

​
max_output_tokens
integer

Optional limit for generated output tokens.

Response

Successful Response

​
id
string
required
Example:

"resp_123"

​
object
string
required
Example:

"response"

​
model
string
required
​
output
ResponseOutputItem · object[]
required
​
created_at
integer
​
status
string | null