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Running a model

DeepSeekllm

DeepSeek-V4-Flash-0731

Fast frontier LLM with 1M context, tool use, and dual thinking modes

POSTauray-serverless/model/deepseek-v4-flash
openapi.jsonllms.txt

One of Auray's catalogue models: the same key, the same credits, the same job lifecycle as every other address.

Its request shape is published below. Whether it runs right now is GET /v1/catalogue's word, with no key needed: its addresses say connected for an address that runs, and a submit to any other is refused before anything is charged — described answers 501 model_not_connected, paused 503 model_disabled.

Category llm · Scope text:write (or external:write on an older key) · Price Credits per million tokens: 6.3334 for the prompt and 12.75 for the answer, its reasoning included. Quoted when you submit at the prompt as estimated — its UTF-8 bytes over 4, 1100 tokens an image — and at the whole answer settings.maxTokens asks for, 8192 when it names none. The charge settles to the tokens the model was billed for and never above the quote. The submit's answer carries the quote as credits_quoted, and credits_charged says what has been taken.

#Input

FieldTypeRequiredDefaultDescription
outputFormatstringno"TEXT"Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities. - `JPG`: Best for photorealistic images with smaller file sizes (no transparency). - `PNG`: Lossless compression, supports high quality and transparency (alpha channel). - `WEBP`: Modern format providing superior compression and transparency support. - `MP4`: Widely supported video container (H.264), recommended for general use. - `WEBM`: Optimized for web delivery. - `MOV`: QuickTime format, common in professional workflows (Apple ecosystem). - `GIF`: Animated image format (no audio), suitable for short loops or previews. - `MP3`: Compressed audio, smaller file size. - `WAV`: Uncompressed, high-quality audio. - `FLAC`: Lossless compression. - `OGG`: Open-source compressed audio format (Vorbis codec). - `SVG`: Scalable Vector Graphics. - `TIFF`: High-quality output supporting layers. - `GLB`: Binary glTF format for 3D models, including geometry, textures, and PBR materials. > [!NOTE] > **Transparency**: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., `PNG`, `WEBP`, `TIFF`). `JPG` does not support transparency. One of "TEXT", "JSON".
seedintegerno—Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range. Documented range: 0 to 9,223,372,036,854,776,000.
settingsobjectno—
settings.systemPromptstringno—System-level instruction that guides the model's behavior and output style across the entire generation. Documented range: 1 to 1,000,000 characters.
settings.temperaturenumberno1Controls randomness in generation. Lower values produce more deterministic outputs, higher values increase variation and creativity. Documented range: 0 to 2.
settings.topPnumberno1Nucleus sampling parameter that controls diversity by limiting the probability mass. Lower values make outputs more focused, higher values increase diversity. Documented range: 0 to 1.
settings.frequencyPenaltynumberno0Penalizes tokens based on their frequency in the output so far. A value of 0.0 disables the penalty. Documented range: 0 to 2.
settings.maxTokensintegerno8192Maximum number of tokens to generate in the response. Left out, a call is sent and quoted for the default here — the model's own where it is smaller than 8,192; a larger value, up to the maximum, is quoted for that answer. Documented range: 1 to 384,000.
settings.presencePenaltynumberno0Encourages the model to introduce new topics. A value of 0.0 disables the penalty. Documented range: 0 to 2.
settings.thinkingLevelstringno"off"Controls the depth of internal reasoning the model performs before generating a response. One of "off", "high", "max".
jsonSchemastringno—JSON Schema for structured output. Only honoured when outputFormat is JSON. Accepts the OpenAI envelope ({name, schema, strict}) or a bare JSON Schema; bare schemas are auto-wrapped with name='response' and strict=true.
messagesobject[]yes—
messages[].rolestringyes—Role of the message author. One of "user", "assistant".
messages[].contentstringyes—Text content of the message. Documented range: 1 or more characters.
includeUsagebooleanno—Include token usage statistics in the response.
idempotency_keystringno—Your own name for this request. Send the same one twice and the second call is answered with the first request rather than charged again. Idempotency-Key: as a header is accepted as an alias — that is the spelling a retrying proxy replays, and the one to use when running a model on auray.run, where a request that outlives its connection is answered 504 and recovered by replay. Omit it and the platform mints one. 1 to 64 characters.

#Example

curl -X POST https://queue.auray.run/auray-serverless/model/deepseek-v4-flash \
  -H "Authorization: Bearer $AURAY_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "messages": [
    {
      "role": "user",
      "content": "In one sentence, what does a brass orrery show?"
    }
  ]
}'

The same body on https://auray.run runs synchronously and answers the result — unless it usually takes longer than a run may hold its connection, which is refused 400 model_not_synchronous before anything is charged. Options — ?webhook=, ?wait=, priority and timeout headers — are on Submit a request.

#Machine contracts

  • openapi.json — this page as an OpenAPI 3.1 document, public.
  • llms.txt — the same, written for an agent.

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