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71 lines
2.4 KiB
TypeScript
71 lines
2.4 KiB
TypeScript
import { defineSingleProviderPluginEntry } from "openclaw/plugin-sdk/provider-entry";
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import {
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applyModelCompatPatch,
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type ModelCompatConfig,
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} from "openclaw/plugin-sdk/provider-model-shared";
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import { normalizeLowercaseStringOrEmpty } from "openclaw/plugin-sdk/string-coerce-runtime";
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import { applyVeniceConfig, VENICE_DEFAULT_MODEL_REF } from "./onboard.js";
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import { buildVeniceProvider } from "./provider-catalog.js";
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import { createVeniceDeepSeekV4Wrapper } from "./stream.js";
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const PROVIDER_ID = "venice";
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const XAI_UNSUPPORTED_SCHEMA_KEYWORDS = [
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"minLength",
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"maxLength",
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"minItems",
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"maxItems",
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"minContains",
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"maxContains",
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] as const;
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function applyXaiModelCompat<T extends { compat?: unknown }>(model: T): T {
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return applyModelCompatPatch(model as T & { compat?: ModelCompatConfig }, {
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toolSchemaProfile: "xai",
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unsupportedToolSchemaKeywords: [...XAI_UNSUPPORTED_SCHEMA_KEYWORDS],
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nativeWebSearchTool: true,
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toolCallArgumentsEncoding: "html-entities",
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}) as T;
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}
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function isXaiBackedVeniceModel(modelId: string): boolean {
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return normalizeLowercaseStringOrEmpty(modelId).includes("grok");
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}
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export default defineSingleProviderPluginEntry({
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id: PROVIDER_ID,
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name: "Venice Provider",
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description: "Bundled Venice provider plugin",
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provider: {
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label: "Venice",
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docsPath: "/providers/venice",
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auth: [
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{
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methodId: "api-key",
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label: "Venice AI API key",
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hint: "Privacy-focused (uncensored models)",
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optionKey: "veniceApiKey",
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flagName: "--venice-api-key",
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envVar: "VENICE_API_KEY",
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promptMessage: "Enter Venice AI API key",
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defaultModel: VENICE_DEFAULT_MODEL_REF,
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applyConfig: (cfg) => applyVeniceConfig(cfg),
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noteMessage: [
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"Venice AI provides privacy-focused inference with uncensored models.",
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"Get your API key at: https://venice.ai/settings/api",
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"Supports 'private' (fully private) and 'anonymized' (proxy) modes.",
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].join("\n"),
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noteTitle: "Venice AI",
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wizard: {
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groupLabel: "Venice AI",
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},
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},
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],
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catalog: {
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buildProvider: buildVeniceProvider,
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},
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normalizeResolvedModel: ({ modelId, model }) =>
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isXaiBackedVeniceModel(modelId) ? applyXaiModelCompat(model) : undefined,
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wrapStreamFn: (ctx) => createVeniceDeepSeekV4Wrapper(ctx.streamFn, ctx.thinkingLevel),
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},
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});
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