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https://github.com/openclaw/openclaw.git
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* initial commit * removes assesment from docs * resolves automated review comments * resolves lint , type , tests , refactors , and submits * solves : why do we have to lint the tests xD * adds greptile fixes * solves a type error * solves a ci error * refactors auths * solves a failing test after i pulled from main lol * solves a failing test after i pulled from main lol * resolves token naming issue to comply with better practices when using hf / huggingface * fixes curly lints ! * fixes failing tests for google api from main * solve merge conflicts * solve failing tests with a defensive check 'undefined' openrouterapi key * fix: preserve Hugging Face auth-choice intent and token behavior (#13472) (thanks @Josephrp) * test: resolve auth-choice cherry-pick conflict cleanup (#13472) --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Peter Steinberger <steipete@gmail.com>
101 lines
3.1 KiB
TypeScript
101 lines
3.1 KiB
TypeScript
import type { OpenClawConfig } from "../config/config.js";
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import { LITELLM_DEFAULT_MODEL_REF } from "./onboard-auth.credentials.js";
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export const LITELLM_BASE_URL = "http://localhost:4000";
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export const LITELLM_DEFAULT_MODEL_ID = "claude-opus-4-6";
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const LITELLM_DEFAULT_CONTEXT_WINDOW = 128_000;
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const LITELLM_DEFAULT_MAX_TOKENS = 8_192;
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const LITELLM_DEFAULT_COST = {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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};
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function buildLitellmModelDefinition(): {
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id: string;
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name: string;
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reasoning: boolean;
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input: Array<"text" | "image">;
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cost: { input: number; output: number; cacheRead: number; cacheWrite: number };
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contextWindow: number;
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maxTokens: number;
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} {
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return {
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id: LITELLM_DEFAULT_MODEL_ID,
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name: "Claude Opus 4.6",
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reasoning: true,
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input: ["text", "image"],
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cost: LITELLM_DEFAULT_COST,
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contextWindow: LITELLM_DEFAULT_CONTEXT_WINDOW,
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maxTokens: LITELLM_DEFAULT_MAX_TOKENS,
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};
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}
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export function applyLitellmProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
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const models = { ...cfg.agents?.defaults?.models };
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models[LITELLM_DEFAULT_MODEL_REF] = {
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...models[LITELLM_DEFAULT_MODEL_REF],
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alias: models[LITELLM_DEFAULT_MODEL_REF]?.alias ?? "LiteLLM",
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};
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const providers = { ...cfg.models?.providers };
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const existingProvider = providers.litellm;
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const existingModels = Array.isArray(existingProvider?.models) ? existingProvider.models : [];
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const defaultModel = buildLitellmModelDefinition();
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const hasDefaultModel = existingModels.some((model) => model.id === LITELLM_DEFAULT_MODEL_ID);
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const mergedModels = hasDefaultModel ? existingModels : [...existingModels, defaultModel];
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const { apiKey: existingApiKey, ...existingProviderRest } = (existingProvider ?? {}) as Record<
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string,
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unknown
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> as { apiKey?: string };
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const resolvedBaseUrl =
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typeof existingProvider?.baseUrl === "string" ? existingProvider.baseUrl.trim() : "";
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const resolvedApiKey = typeof existingApiKey === "string" ? existingApiKey : undefined;
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const normalizedApiKey = resolvedApiKey?.trim();
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providers.litellm = {
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...existingProviderRest,
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baseUrl: resolvedBaseUrl || LITELLM_BASE_URL,
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api: "openai-completions",
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...(normalizedApiKey ? { apiKey: normalizedApiKey } : {}),
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models: mergedModels.length > 0 ? mergedModels : [defaultModel],
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};
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return {
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...cfg,
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agents: {
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...cfg.agents,
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defaults: {
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...cfg.agents?.defaults,
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models,
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},
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},
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models: {
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mode: cfg.models?.mode ?? "merge",
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providers,
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},
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};
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}
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export function applyLitellmConfig(cfg: OpenClawConfig): OpenClawConfig {
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const next = applyLitellmProviderConfig(cfg);
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const existingModel = next.agents?.defaults?.model;
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return {
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...next,
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agents: {
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...next.agents,
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defaults: {
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...next.agents?.defaults,
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model: {
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...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
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? {
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fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
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}
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: undefined),
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primary: LITELLM_DEFAULT_MODEL_REF,
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},
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},
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},
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};
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}
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