Files
openclaw/src/auto-reply/thinking.shared.ts
2026-03-18 18:19:40 +00:00

277 lines
7.7 KiB
TypeScript

export type ThinkLevel = "off" | "minimal" | "low" | "medium" | "high" | "xhigh" | "adaptive";
export type VerboseLevel = "off" | "on" | "full";
export type NoticeLevel = "off" | "on" | "full";
export type ElevatedLevel = "off" | "on" | "ask" | "full";
export type ElevatedMode = "off" | "ask" | "full";
export type ReasoningLevel = "off" | "on" | "stream";
export type UsageDisplayLevel = "off" | "tokens" | "full";
export type ThinkingCatalogEntry = {
provider: string;
id: string;
reasoning?: boolean;
};
const BASE_THINKING_LEVELS: ThinkLevel[] = ["off", "minimal", "low", "medium", "high", "adaptive"];
const ANTHROPIC_CLAUDE_46_MODEL_RE = /^claude-(?:opus|sonnet)-4(?:\.|-)6(?:$|[-.])/i;
const AMAZON_BEDROCK_CLAUDE_46_MODEL_RE = /claude-(?:opus|sonnet)-4(?:\.|-)6(?:$|[-.])/i;
const OPENAI_XHIGH_MODEL_IDS = [
"gpt-5.4",
"gpt-5.4-pro",
"gpt-5.4-mini",
"gpt-5.4-nano",
"gpt-5.2",
] as const;
const OPENAI_CODEX_XHIGH_MODEL_IDS = [
"gpt-5.4",
"gpt-5.3-codex",
"gpt-5.3-codex-spark",
"gpt-5.2-codex",
"gpt-5.1-codex",
] as const;
const GITHUB_COPILOT_XHIGH_MODEL_IDS = ["gpt-5.2", "gpt-5.2-codex"] as const;
function matchesExactOrPrefix(modelId: string, ids: readonly string[]): boolean {
return ids.some((candidate) => modelId === candidate || modelId.startsWith(`${candidate}-`));
}
export function normalizeProviderId(provider?: string | null): string {
if (!provider) {
return "";
}
const normalized = provider.trim().toLowerCase();
if (normalized === "z.ai" || normalized === "z-ai") {
return "zai";
}
if (normalized === "bedrock" || normalized === "aws-bedrock") {
return "amazon-bedrock";
}
return normalized;
}
export function isBinaryThinkingProvider(provider?: string | null): boolean {
return normalizeProviderId(provider) === "zai";
}
export function supportsBuiltInXHighThinking(
provider?: string | null,
model?: string | null,
): boolean {
const providerId = normalizeProviderId(provider);
const modelId = model?.trim().toLowerCase();
if (!providerId || !modelId) {
return false;
}
if (providerId === "openai") {
return matchesExactOrPrefix(modelId, OPENAI_XHIGH_MODEL_IDS);
}
if (providerId === "openai-codex") {
return matchesExactOrPrefix(modelId, OPENAI_CODEX_XHIGH_MODEL_IDS);
}
if (providerId === "github-copilot") {
return GITHUB_COPILOT_XHIGH_MODEL_IDS.includes(modelId as never);
}
return false;
}
// Normalize user-provided thinking level strings to the canonical enum.
export function normalizeThinkLevel(raw?: string | null): ThinkLevel | undefined {
if (!raw) {
return undefined;
}
const key = raw.trim().toLowerCase();
const collapsed = key.replace(/[\s_-]+/g, "");
if (collapsed === "adaptive" || collapsed === "auto") {
return "adaptive";
}
if (collapsed === "xhigh" || collapsed === "extrahigh") {
return "xhigh";
}
if (["off"].includes(key)) {
return "off";
}
if (["on", "enable", "enabled"].includes(key)) {
return "low";
}
if (["min", "minimal"].includes(key)) {
return "minimal";
}
if (["low", "thinkhard", "think-hard", "think_hard"].includes(key)) {
return "low";
}
if (["mid", "med", "medium", "thinkharder", "think-harder", "harder"].includes(key)) {
return "medium";
}
if (
["high", "ultra", "ultrathink", "think-hard", "thinkhardest", "highest", "max"].includes(key)
) {
return "high";
}
if (["think"].includes(key)) {
return "minimal";
}
return undefined;
}
export function listThinkingLevels(
_provider?: string | null,
_model?: string | null,
): ThinkLevel[] {
return [...BASE_THINKING_LEVELS];
}
export function listThinkingLevelLabels(provider?: string | null, model?: string | null): string[] {
if (isBinaryThinkingProvider(provider)) {
return ["off", "on"];
}
return listThinkingLevels(provider, model);
}
export function formatThinkingLevels(
provider?: string | null,
model?: string | null,
separator = ", ",
): string {
return listThinkingLevelLabels(provider, model).join(separator);
}
export function formatXHighModelHint(): string {
return "provider models that advertise xhigh reasoning";
}
export function resolveThinkingDefaultForModel(params: {
provider: string;
model: string;
catalog?: ThinkingCatalogEntry[];
}): ThinkLevel {
const normalizedProvider = normalizeProviderId(params.provider);
const modelId = params.model.trim();
if (normalizedProvider === "anthropic" && ANTHROPIC_CLAUDE_46_MODEL_RE.test(modelId)) {
return "adaptive";
}
if (normalizedProvider === "amazon-bedrock" && AMAZON_BEDROCK_CLAUDE_46_MODEL_RE.test(modelId)) {
return "adaptive";
}
const candidate = params.catalog?.find(
(entry) => entry.provider === params.provider && entry.id === params.model,
);
if (candidate?.reasoning) {
return "low";
}
return "off";
}
type OnOffFullLevel = "off" | "on" | "full";
function normalizeOnOffFullLevel(raw?: string | null): OnOffFullLevel | undefined {
if (!raw) {
return undefined;
}
const key = raw.toLowerCase();
if (["off", "false", "no", "0"].includes(key)) {
return "off";
}
if (["full", "all", "everything"].includes(key)) {
return "full";
}
if (["on", "minimal", "true", "yes", "1"].includes(key)) {
return "on";
}
return undefined;
}
export function normalizeVerboseLevel(raw?: string | null): VerboseLevel | undefined {
return normalizeOnOffFullLevel(raw);
}
export function normalizeNoticeLevel(raw?: string | null): NoticeLevel | undefined {
return normalizeOnOffFullLevel(raw);
}
export function normalizeUsageDisplay(raw?: string | null): UsageDisplayLevel | undefined {
if (!raw) {
return undefined;
}
const key = raw.toLowerCase();
if (["off", "false", "no", "0", "disable", "disabled"].includes(key)) {
return "off";
}
if (["on", "true", "yes", "1", "enable", "enabled"].includes(key)) {
return "tokens";
}
if (["tokens", "token", "tok", "minimal", "min"].includes(key)) {
return "tokens";
}
if (["full", "session"].includes(key)) {
return "full";
}
return undefined;
}
export function resolveResponseUsageMode(raw?: string | null): UsageDisplayLevel {
return normalizeUsageDisplay(raw) ?? "off";
}
export function normalizeFastMode(raw?: string | boolean | null): boolean | undefined {
if (typeof raw === "boolean") {
return raw;
}
if (!raw) {
return undefined;
}
const key = raw.toLowerCase();
if (["off", "false", "no", "0", "disable", "disabled", "normal"].includes(key)) {
return false;
}
if (["on", "true", "yes", "1", "enable", "enabled", "fast"].includes(key)) {
return true;
}
return undefined;
}
export function normalizeElevatedLevel(raw?: string | null): ElevatedLevel | undefined {
if (!raw) {
return undefined;
}
const key = raw.toLowerCase();
if (["off", "false", "no", "0"].includes(key)) {
return "off";
}
if (["full", "auto", "auto-approve", "autoapprove"].includes(key)) {
return "full";
}
if (["ask", "prompt", "approval", "approve"].includes(key)) {
return "ask";
}
if (["on", "true", "yes", "1"].includes(key)) {
return "on";
}
return undefined;
}
export function resolveElevatedMode(level?: ElevatedLevel | null): ElevatedMode {
if (!level || level === "off") {
return "off";
}
if (level === "full") {
return "full";
}
return "ask";
}
export function normalizeReasoningLevel(raw?: string | null): ReasoningLevel | undefined {
if (!raw) {
return undefined;
}
const key = raw.toLowerCase();
if (["off", "false", "no", "0", "hide", "hidden", "disable", "disabled"].includes(key)) {
return "off";
}
if (["on", "true", "yes", "1", "show", "visible", "enable", "enabled"].includes(key)) {
return "on";
}
if (["stream", "streaming", "draft", "live"].includes(key)) {
return "stream";
}
return undefined;
}