@juspay/neurolink
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The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002
31 lines (30 loc) • 959 B
JavaScript
/**
* XOR — the `decide` inference type, not text generation.
*
* `contextWindow` is the deployment's maximum prefill, shared by the state,
* the questions and any images or video. `vision` describes `generate()`
* input, which XOR does not serve; its image input is `DecisionRequest.images`.
*
* `maxOutputTokens` is required by the manifest type but has no honest value
* for a model that emits no text, so a small non-zero figure is used.
*/
export const xorManifest = {
defaultContextWindow: 250_000,
models: {
_default: {
aliases: [],
contextWindow: 250_000,
maxOutputTokens: 256,
vision: false,
functionCalling: false,
},
"xor-1.1": {
aliases: [],
displayName: "XOR 1.1",
contextWindow: 250_000,
maxOutputTokens: 256,
vision: false,
functionCalling: false,
},
},
};