GET

/v1/schemas/fal/chat/openrouter%2Frouter%2Fopenai%2Fv1%2Fembeddings?kind=output

kind outputactivity chathash 9513cee0extracted Jul 21, 2026version currentsource upstream spec ↗

Response body

0 properties · 0 required · 0 $defs

This schema isn’t a plain object with properties — showing the raw JSON instead.

application/json
{
  "provider": "fal",
  "activity": "chat",
  "endpointId": "openrouter/router/openai/v1/embeddings",
  "kind": "output",
  "contentHash": "9513cee09e82b93d66e9d1422afd810ea31f9061aef669a1fa71a8f0b26a3915",
  "specRevision": null,
  "provenance": {
    "sourceUrl": "https://api.fal.ai/v1/models?expand=openapi-3.0#openrouter/router/openai/v1/embeddings",
    "sourceHash": "706478d9f4a1f9c8207bfd3754511aa35a294255504b1c353cf3e0cccaee7420",
    "fetchedAt": 1784610160,
    "extractorVersion": "1"
  },
  "createdAt": 1784610160,
  "supersededAt": null,
  "schema": {
    "additionalProperties": true,
    "description": "OpenAI-format response. This endpoint is an OpenAI-compatible passthrough to OpenRouter's Embeddings API: the request body follows the OpenAI Embeddings wire format and is forwarded with minimal normalization (usage accounting is enabled, and when a fal caller id is available, a privacy-preserving hash of it replaces any caller-supplied `user`); the response follows the OpenAI wire format except that `usage`, when returned non-null, is replaced with fal's accounting shape (`prompt_tokens`, `completion_tokens`, `total_tokens`, `cost`, `prompt_tokens_details`; fields may be null). Authoritative behavior, including which fields each model accepts, is defined by OpenRouter's implementation (https://openrouter.ai/docs/api-reference); see also the OpenAI Embeddings API reference (https://platform.openai.com/docs/api-reference/embeddings).",
    "type": "object"
  }
}

Validate a payload

before you spend tokens
shell
$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"fal","endpointId":"openrouter/router/openai/v1/embeddings","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}