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* Generated by orval v8.9.1 🍺
* Do not edit manually.
* Api
* Io HST Search Engine API
* OpenAPI spec version: 0.1.0
*/
import * as zod from 'zod';
/**
* Returns server health status
* @summary Health check
*/
export const HealthCheckResponse = zod.object({
"status": zod.string()
})
/**
* Runs the HST search engine across 200+ sources and returns a synthesized answer
* @summary Search and synthesize
*/
export const searchBodyQueryMax = 500;
export const searchBodyTargetDefault = 6;
export const searchBodyTargetMax = 12;
export const SearchBody = zod.object({
"query": zod.string().min(1).max(searchBodyQueryMax),
"target": zod.number().min(1).max(searchBodyTargetMax).default(searchBodyTargetDefault)
})
export const SearchResponse = zod.object({
"answer": zod.string(),
"sources": zod.array(zod.string()),
"topUrl": zod.string().nullish(),
"query": zod.string(),
"intent": zod.string().optional(),
"selfReferential": zod.boolean().optional(),
"sourceCount": zod.number().optional(),
"processingMs": zod.number().optional()
})
/**
* Runs inference on the Io HST checkpoint
* @summary Generate text from Io neural model
*/
export const modelGenerateBodyPromptMax = 1500;
export const modelGenerateBodyMaxTokensDefault = 200;
export const modelGenerateBodyMaxTokensMax = 1024;
export const modelGenerateBodyTemperatureDefault = 0.85;
export const modelGenerateBodyTemperatureMin = 0.01;
export const modelGenerateBodyTemperatureMax = 2;
export const modelGenerateBodyTopKDefault = 50;
export const modelGenerateBodyTopKMax = 200;
export const modelGenerateBodyTopPDefault = 0.95;
export const modelGenerateBodyTopPMin = 0.01;
export const modelGenerateBodyTopPMax = 1;
export const modelGenerateBodyRepetitionPenaltyDefault = 1.15;
export const modelGenerateBodyRepetitionPenaltyMax = 2;
export const modelGenerateBodyPresencePenaltyDefault = 0;
export const modelGenerateBodyPresencePenaltyMin = 0;
export const modelGenerateBodyPresencePenaltyMax = 2;
export const modelGenerateBodyNSamplesDefault = 1;
export const modelGenerateBodyNSamplesMax = 8;
export const ModelGenerateBody = zod.object({
"prompt": zod.string().min(1).max(modelGenerateBodyPromptMax),
"maxTokens": zod.number().min(1).max(modelGenerateBodyMaxTokensMax).default(modelGenerateBodyMaxTokensDefault),
"temperature": zod.number().min(modelGenerateBodyTemperatureMin).max(modelGenerateBodyTemperatureMax).default(modelGenerateBodyTemperatureDefault),
"topK": zod.number().min(1).max(modelGenerateBodyTopKMax).default(modelGenerateBodyTopKDefault),
"topP": zod.number().min(modelGenerateBodyTopPMin).max(modelGenerateBodyTopPMax).default(modelGenerateBodyTopPDefault),
"repetitionPenalty": zod.number().min(1).max(modelGenerateBodyRepetitionPenaltyMax).default(modelGenerateBodyRepetitionPenaltyDefault),
"presencePenalty": zod.number().min(modelGenerateBodyPresencePenaltyMin).max(modelGenerateBodyPresencePenaltyMax).default(modelGenerateBodyPresencePenaltyDefault),
"nSamples": zod.number().min(1).max(modelGenerateBodyNSamplesMax).default(modelGenerateBodyNSamplesDefault)
})
export const ModelGenerateResponse = zod.object({
"text": zod.string(),
"step": zod.number(),
"checkpoint": zod.string().optional(),
"coherenceScore": zod.number().optional(),
"bestOfN": zod.number().optional(),
"bestScore": zod.number().optional(),
"error": zod.string().nullish()
})
/**
* @summary Submit thumbs up/down for a search answer
*/
export const submitFeedbackBodyQueryMax = 500;
export const submitFeedbackBodyAnswerMax = 8000;
export const SubmitFeedbackBody = zod.object({
"query": zod.string().min(1).max(submitFeedbackBodyQueryMax),
"rating": zod.enum(['up', 'down']),
"sources": zod.array(zod.string()).optional(),
"answer": zod.string().max(submitFeedbackBodyAnswerMax).optional()
})
export const SubmitFeedbackResponse = zod.object({
"ok": zod.boolean(),
"ts": zod.number()
})
/**
* @summary Aggregate feedback stats
*/
export const FeedbackStatsResponse = zod.object({
"totalFeedback": zod.number(),
"totalUp": zod.number(),
"totalDown": zod.number(),
"sources": zod.array(zod.object({
"source": zod.string(),
"up": zod.number(),
"down": zod.number(),
"multiplier": zod.number()
}))
})
/**
* @summary Start light CPU fine-tuning of the Io checkpoint
*/
export const modelFineTuneBodyStepsDefault = 30;
export const modelFineTuneBodyStepsMax = 200;
export const modelFineTuneBodyLrDefault = 0.00001;
export const modelFineTuneBodyLrMin = 1e-7;
export const modelFineTuneBodyLrMax = 0.001;
export const modelFineTuneBodySeqLenDefault = 256;
export const modelFineTuneBodySeqLenMin = 64;
export const modelFineTuneBodySeqLenMax = 1024;
export const ModelFineTuneBody = zod.object({
"steps": zod.number().min(1).max(modelFineTuneBodyStepsMax).default(modelFineTuneBodyStepsDefault),
"lr": zod.number().min(modelFineTuneBodyLrMin).max(modelFineTuneBodyLrMax).default(modelFineTuneBodyLrDefault),
"seqLen": zod.number().min(modelFineTuneBodySeqLenMin).max(modelFineTuneBodySeqLenMax).default(modelFineTuneBodySeqLenDefault)
})
export const ModelFineTuneResponse = zod.object({
"status": zod.enum(['idle', 'running', 'success', 'failed']),
"startedAt": zod.number().nullish(),
"finishedAt": zod.number().nullish(),
"steps": zod.number().optional(),
"currentStep": zod.number().optional(),
"loss": zod.number().nullish(),
"avgLoss": zod.number().nullish(),
"error": zod.string().nullish(),
"checkpointOut": zod.string().nullish(),
"activeCheckpoint": zod.string().optional(),
"fineTunedExists": zod.boolean().optional(),
"guideStats": zod.record(zod.string(), zod.unknown()).optional(),
"log": zod.array(zod.record(zod.string(), zod.unknown())).optional(),
"ok": zod.boolean().optional()
})
/**
* @summary Fine-tune status
*/
export const ModelFineTuneStatusResponse = zod.object({
"status": zod.enum(['idle', 'running', 'success', 'failed']),
"startedAt": zod.number().nullish(),
"finishedAt": zod.number().nullish(),
"steps": zod.number().optional(),
"currentStep": zod.number().optional(),
"loss": zod.number().nullish(),
"avgLoss": zod.number().nullish(),
"error": zod.string().nullish(),
"checkpointOut": zod.string().nullish(),
"activeCheckpoint": zod.string().optional(),
"fineTunedExists": zod.boolean().optional(),
"guideStats": zod.record(zod.string(), zod.unknown()).optional(),
"log": zod.array(zod.record(zod.string(), zod.unknown())).optional(),
"ok": zod.boolean().optional()
})
/**
* @summary Model status
*/
export const ModelStatusResponse = zod.object({
"available": zod.boolean(),
"message": zod.string(),
"step": zod.number().nullish(),
"checkpoint": zod.string().nullish()
})
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