wehub-resource-sync
717 lines
24 KiB
TypeScript
717 lines
24 KiB
TypeScript
import { randomUUID } from "node:crypto";
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import { isVisionModelId } from "@/shared/constants/visionModels";
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import { REGISTRY } from "../config/providerRegistry.ts";
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import { BaseExecutor, mergeUpstreamExtraHeaders, type ExecuteInput } from "./base.ts";
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type JsonRecord = Record<string, unknown>;
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export const COMMAND_CODE_VERSION = process.env.COMMAND_CODE_VERSION?.trim() || "0.33.2";
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// Hard server-side ceiling enforced by Command Code's /alpha/generate endpoint:
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// any request with params.max_tokens > 200_000 is rejected with a 400
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// "Too big: expected number to be <=200000 at params.max_tokens". We only use
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// this to clamp a CLIENT-SUPPLIED max_tokens down to a value the endpoint will
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// accept; we never fabricate this number for requests that omit the field (see
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// clampMaxTokens / buildCommandCodeBody).
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const MAX_COMMAND_CODE_TOKENS = 200_000;
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const encoder = new TextEncoder();
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function isRecord(value: unknown): value is JsonRecord {
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return typeof value === "object" && value !== null && !Array.isArray(value);
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}
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function asRecordArray(value: unknown): JsonRecord[] {
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return Array.isArray(value) ? value.filter(isRecord) : [];
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}
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function stringValue(value: unknown): string | undefined {
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return typeof value === "string" ? value : undefined;
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}
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function numberValue(value: unknown): number | undefined {
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return typeof value === "number" && Number.isFinite(value) ? value : undefined;
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}
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function recordOrEmpty(value: unknown): JsonRecord {
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if (isRecord(value)) return value;
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if (typeof value === "string" && value.trim()) {
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try {
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const parsed: unknown = JSON.parse(value);
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if (isRecord(parsed)) return parsed;
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} catch (error) {
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console.warn(
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"[commandCode] tool arg parse failed:",
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error instanceof Error ? error.message : String(error)
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);
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}
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}
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return {};
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}
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function normalizeContentText(content: unknown): string {
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if (typeof content === "string") return content;
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return asRecordArray(content)
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.filter((part) => part.type === "text")
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.map((part) => stringValue(part.text) || "")
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.join("\n");
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}
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/**
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* Model id patterns for Command Code models that have `text, vision`
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* capability per the official CC model registry, but are NOT caught
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* by the shared {@link isVisionModelId} heuristic. Kept as a local
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* set because these are CC-specific model IDs (vendor-prefix shapes
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* like "moonshotai/Kimi-K2.6" or CC aliases like "gpt-5.4-mini").
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*
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* Source: Command Code /alpha/generate model registry (docs).
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*/
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const CC_VISION_MODEL_PATTERNS: readonly RegExp[] = [
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// Open Source
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/kimi-k2/i, // moonshotai/Kimi-K2.6, Kimi-K2.7-Code, Kimi-K2.5
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/qwen3\.\d/i, // Qwen/Qwen3.6-Plus, Qwen/Qwen3.7-Plus
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/step-?3/i, // stepfun/Step-3.7-Flash
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// Anthropic
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/claude-fable/i, // claude-fable-5 (not covered by claude-opus/sonnet/haiku-4)
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// OpenAI
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/gpt-5/i, // gpt-5.5, gpt-5.4, gpt-5.3-codex, gpt-5.4-mini
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// Sakana
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/fugu/i, // sakana/fugu-ultra
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];
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/**
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* Whether a model id routed through the Command Code executor is
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* vision-capable. Checks Mimo-specific rules first, then CC-specific
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* patterns, then falls through to the shared {@link isVisionModelId}
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* heuristic (which covers minimax-m3, claude-3/4 families, gemini,
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* gpt-4o/4.1, mistral-medium-3, and general "-vision" / "multimodal").
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*/
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function isCommandCodeVisionModel(model?: string | null): boolean {
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if (!model) return false;
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// mimo-v2.5-pro is text-only — exclude before any positive check
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if (/(?:^|\/)mimo-v2\.5-pro$/i.test(model)) return false;
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// Only mimo-v2.5 and mimo-v2-omni accept images per Xiaomi vendor docs
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if (/(?:^|\/)mimo-v2\.5$/i.test(model)) return true;
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if (/(?:^|\/)mimo-v2-omni$/i.test(model)) return true;
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// CC-specific patterns: Kimi K2, Qwen 3.x, Stepfun, Claude Fable,
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// GPT-5, Sakana Fugu — not covered by the shared heuristic
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if (CC_VISION_MODEL_PATTERNS.some((pattern) => pattern.test(model))) return true;
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// Fall through: minimax-m3, claude-3/4, gemini-2/3, gpt-4o, -vision, multimodal
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return isVisionModelId(model);
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}
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/**
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* Extract the image URL from an OpenAI-compatible or Command Code
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* content part, returning undefined for non-image parts.
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*
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* OpenAI-compatible: { type: "image_url", image_url: { url: "..." } }
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* Command Code CLI: { type: "image", image: "..." }
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*/
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function extractImageUrl(part: JsonRecord): string | undefined {
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if (part.type === "image") return stringValue(part.image);
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if (part.type === "image_url") {
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if (isRecord(part.image_url)) return stringValue(part.image_url.url);
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return stringValue(part.image_url);
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}
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return undefined;
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}
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/**
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* Convert an OpenAI-format content array to Command Code's internal
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* CLI format. For vision-capable models (MiniMax M3, MiMo v2.5, etc.)
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* this also preserves image parts alongside text.
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*/
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function convertUserContentParts(content: unknown, isVisionModel: boolean): string | unknown[] {
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// For non-vision models or string content, extract text only.
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if (!isVisionModel || typeof content === "string") {
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return normalizeContentText(content);
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}
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const parts: unknown[] = [];
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for (const part of asRecordArray(content)) {
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if (part.type === "text") {
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const text = stringValue(part.text);
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if (text) parts.push({ type: "text", text });
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continue;
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}
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const imgUrl = extractImageUrl(part);
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if (imgUrl) {
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parts.push({ type: "image", image: imgUrl });
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continue;
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}
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// Always drop tool_use / tool_result / thinking parts from user
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// messages (Command Code doesn't accept them for role:"user").
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}
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// When every part was stripped, fall back to empty text so the
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// message is still valid JSON (Command Code rejects empty content).
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if (parts.length === 0) parts.push({ type: "text", text: "" });
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return parts;
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}
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function convertTools(tools: unknown): unknown[] {
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return asRecordArray(tools).map((tool) => {
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const fn = isRecord(tool.function) ? tool.function : tool;
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return {
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type: "function",
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name: stringValue(fn.name) || "",
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description: stringValue(fn.description) || "",
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input_schema: isRecord(fn.parameters) ? fn.parameters : {},
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};
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});
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}
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function completeToolCallIds(messages: JsonRecord[]): Set<string> {
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const callIds = new Set<string>();
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const resultIds = new Set<string>();
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for (const message of messages) {
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if (message.role === "assistant") {
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for (const call of asRecordArray(message.tool_calls)) {
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const id = stringValue(call.id);
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if (id) callIds.add(id);
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}
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} else if (message.role === "tool") {
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const id = stringValue(message.tool_call_id);
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if (id) resultIds.add(id);
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}
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}
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return new Set([...callIds].filter((id) => resultIds.has(id)));
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}
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function convertMessages(
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messages: unknown,
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model?: string | null
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): { system: string; messages: unknown[] } {
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const source = asRecordArray(messages);
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const pairedToolCallIds = completeToolCallIds(source);
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const out: unknown[] = [];
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const system: string[] = [];
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const isVision = isCommandCodeVisionModel(model);
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for (const message of source) {
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const role = stringValue(message.role);
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if (role === "system" || role === "developer") {
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const text = normalizeContentText(message.content);
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if (text) system.push(text);
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continue;
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}
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if (role === "user") {
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out.push({ role: "user", content: convertUserContentParts(message.content, isVision) });
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continue;
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}
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if (role === "assistant") {
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const parts: unknown[] = [];
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const text = normalizeContentText(message.content);
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if (text) parts.push({ type: "text", text });
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for (const call of asRecordArray(message.tool_calls)) {
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const id = stringValue(call.id) || "";
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if (!id || !pairedToolCallIds.has(id)) continue;
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const fn = isRecord(call.function) ? call.function : {};
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parts.push({
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type: "tool-call",
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toolCallId: id,
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toolName: stringValue(fn.name) || "",
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input: recordOrEmpty(fn.arguments),
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});
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}
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if (parts.length > 0) out.push({ role: "assistant", content: parts });
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continue;
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}
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if (role === "tool") {
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const toolCallId = stringValue(message.tool_call_id) || "";
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if (!toolCallId || !pairedToolCallIds.has(toolCallId)) continue;
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out.push({
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role: "tool",
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content: [
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{
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type: "tool-result",
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toolCallId,
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toolName: stringValue(message.name) || "",
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output: { type: "text", value: normalizeContentText(message.content) },
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},
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],
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});
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}
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}
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return { system: system.join("\n\n"), messages: out };
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}
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// Clamp a client-supplied max_tokens to the endpoint ceiling, mirroring the
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// provider-driven clamp in antigravity.ts: we only intervene when the value is
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// present, positive AND would otherwise be rejected (> 200_000). A valid value
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// is returned floored; anything absent, non-numeric or non-positive returns
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// undefined so the caller can OMIT the field entirely and let Command Code's
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// upstream apply the model's own native default (rather than us inventing a
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// number). A non-positive value such as Zoo Code's max_tokens:-1 ("let the
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// server choose") must be omitted, NOT forced to 1 — the old Math.max(1,...)
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// truncated output to a single token (#5166).
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function clampMaxTokens(value: unknown): number | undefined {
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const numeric = numberValue(value);
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if (numeric === undefined || numeric <= 0) return undefined;
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return Math.min(Math.floor(numeric), MAX_COMMAND_CODE_TOKENS);
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}
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// Reasoning/thinking fields that payload rules or clients may inject and that
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// CommandCode's upstream accepts inside `params`. Without this pass-through,
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// payload-rule overrides on these fields are silently dropped (#2986 follow-up).
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const COMMAND_CODE_PASSTHROUGH_FIELDS = [
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"reasoning_effort",
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"reasoning",
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"thinking",
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"effort",
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"output_config",
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"extra_body",
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] as const;
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function buildCommandCodeBody(model: string, body: unknown, stream = false): JsonRecord {
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const input = isRecord(body) ? body : {};
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// Payload rules may rewrite `body.model` (e.g. deepseek-v4-pro-max →
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// deepseek/deepseek-v4-pro for the command-code provider). Prefer the
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// rewritten value if present; fall back to the resolved combo model arg.
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const resolvedModel =
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typeof input.model === "string" && input.model.trim().length > 0 ? input.model : model;
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const converted = convertMessages(input.messages, resolvedModel);
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const explicitSystem = typeof input.system === "string" ? input.system : "";
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const system = [converted.system, explicitSystem].filter(Boolean).join("\n\n");
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const params: JsonRecord = {
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model: resolvedModel,
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messages: converted.messages,
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tools: convertTools(input.tools),
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system,
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stream: true,
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};
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// Only forward max_tokens when the client actually supplied one. Omitting it
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// lets Command Code's upstream apply the model's own native default, so we
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// never invent a value (the old behavior, which sent the wrong number and got
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// DeepSeek V4 rejected with "Too big: expected number to be <=200000"). When
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// present, it is clamped to the endpoint ceiling so an oversized client value
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// degrades gracefully instead of 400ing.
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const maxTokens = clampMaxTokens(input.max_tokens ?? input.max_completion_tokens);
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if (maxTokens !== undefined) {
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params.max_tokens = maxTokens;
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}
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for (const field of COMMAND_CODE_PASSTHROUGH_FIELDS) {
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const value = input[field];
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if (value !== undefined && value !== null) {
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params[field] = value;
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}
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}
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return {
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config: {
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workingDir: "/workspace",
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date: new Date().toISOString().slice(0, 10),
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environment: "external",
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structure: [],
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isGitRepo: false,
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currentBranch: "",
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mainBranch: "",
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gitStatus: "",
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recentCommits: [],
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},
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memory: "",
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taste: "",
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skills: "",
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permissionMode: "standard",
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params,
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};
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}
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function parseStreamLine(line: string): unknown | undefined {
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let trimmed = line.trim();
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if (!trimmed || trimmed.startsWith(":") || trimmed.startsWith("event:")) return undefined;
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if (trimmed.startsWith("data:")) trimmed = trimmed.slice(5).trim();
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if (!trimmed || trimmed === "[DONE]") return undefined;
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try {
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return JSON.parse(trimmed);
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} catch (error) {
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console.warn(
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"[commandCode] stream line parse failed:",
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error instanceof Error ? error.message : String(error)
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);
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return undefined;
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}
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}
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function mapFinishReason(reason: unknown): "stop" | "length" | "tool_calls" {
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if (reason === "tool-calls" || reason === "tool_calls" || reason === "toolUse")
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return "tool_calls";
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if (
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reason === "length" ||
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reason === "max_tokens" ||
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reason === "max-tokens" ||
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reason === "max_output_tokens"
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) {
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return "length";
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}
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return "stop";
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}
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function chatCompletionChunk(
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id: string,
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model: string,
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delta: JsonRecord,
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finishReason: unknown = null
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) {
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return {
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id,
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object: "chat.completion.chunk",
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created: Math.floor(Date.now() / 1000),
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model,
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choices: [{ index: 0, delta, finish_reason: finishReason }],
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};
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}
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function sse(data: unknown): Uint8Array {
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return encoder.encode(`data: ${JSON.stringify(data)}\n\n`);
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}
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type AggregateState = {
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content: string;
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reasoning: string;
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toolCalls: JsonRecord[];
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finishReason: "stop" | "length" | "tool_calls";
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usage: JsonRecord | null;
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};
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function applyEventToAggregate(event: JsonRecord, state: AggregateState): void {
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switch (event.type) {
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case "text-delta":
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state.content += stringValue(event.text) || "";
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break;
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case "reasoning-delta":
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state.reasoning += stringValue(event.text) || "";
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break;
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case "tool-call": {
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const args = recordOrEmpty(event.input ?? event.args ?? event.arguments);
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state.toolCalls.push({
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id: stringValue(event.toolCallId) || stringValue(event.id) || randomUUID(),
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type: "function",
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function: {
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name: stringValue(event.toolName) || stringValue(event.name) || "",
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arguments: JSON.stringify(args),
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},
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});
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break;
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}
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case "finish":
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state.finishReason = mapFinishReason(event.finishReason);
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state.usage = isRecord(event.totalUsage) ? event.totalUsage : null;
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break;
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}
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}
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function applyEventToAggregateOrThrow(event: JsonRecord, state: AggregateState): void {
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if (event.type === "error") {
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const error = isRecord(event.error) ? event.error : {};
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throw new Error(
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stringValue(error.message) || stringValue(event.error) || "Command Code stream error"
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);
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}
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applyEventToAggregate(event, state);
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}
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function usageFromCommandCode(usage: JsonRecord | null) {
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if (!usage) return undefined;
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const details = isRecord(usage.inputTokenDetails) ? usage.inputTokenDetails : {};
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const prompt =
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(numberValue(usage.inputTokens) || 0) + (numberValue(details.cacheReadTokens) || 0);
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const completion = numberValue(usage.outputTokens) || 0;
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return {
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prompt_tokens: prompt,
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completion_tokens: completion,
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total_tokens: prompt + completion,
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};
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}
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function createStreamResponse(
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upstream: Response,
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model: string,
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signal?: AbortSignal | null
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): Response {
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const id = `chatcmpl-${randomUUID()}`;
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const reader = upstream.body?.getReader();
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const decoder = new TextDecoder();
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let buffer = "";
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let sentRole = false;
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let closed = false;
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const state: AggregateState = {
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content: "",
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reasoning: "",
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toolCalls: [],
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finishReason: "stop",
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usage: null,
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};
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const stream = new ReadableStream<Uint8Array>({
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start(controller) {
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if (!reader) {
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controller.error(new Error("Command Code response missing body"));
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return;
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}
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const abort = () => {
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closed = true;
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reader.cancel().catch(() => undefined);
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controller.error(new DOMException("The operation was aborted", "AbortError"));
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};
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signal?.addEventListener("abort", abort, { once: true });
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const emitEvent = (event: unknown) => {
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if (!isRecord(event) || closed) return;
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if (!sentRole) {
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sentRole = true;
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controller.enqueue(sse(chatCompletionChunk(id, model, { role: "assistant" })));
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}
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switch (event.type) {
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case "text-delta": {
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const text = stringValue(event.text) || "";
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if (text) controller.enqueue(sse(chatCompletionChunk(id, model, { content: text })));
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state.content += text;
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break;
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}
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case "reasoning-delta": {
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const text = stringValue(event.text) || "";
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if (text) {
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controller.enqueue(sse(chatCompletionChunk(id, model, { reasoning_content: text })));
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state.reasoning += text;
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|
}
|
|
break;
|
|
}
|
|
case "tool-call": {
|
|
const index = state.toolCalls.length;
|
|
const args = recordOrEmpty(event.input ?? event.args ?? event.arguments);
|
|
const toolCall = {
|
|
id: stringValue(event.toolCallId) || stringValue(event.id) || randomUUID(),
|
|
type: "function",
|
|
function: {
|
|
name: stringValue(event.toolName) || stringValue(event.name) || "",
|
|
arguments: JSON.stringify(args),
|
|
},
|
|
};
|
|
state.toolCalls.push(toolCall);
|
|
controller.enqueue(
|
|
sse(chatCompletionChunk(id, model, { tool_calls: [{ index, ...toolCall }] }))
|
|
);
|
|
break;
|
|
}
|
|
case "reasoning-end":
|
|
break;
|
|
case "finish": {
|
|
state.finishReason = mapFinishReason(event.finishReason);
|
|
state.usage = isRecord(event.totalUsage) ? event.totalUsage : null;
|
|
controller.enqueue(sse(chatCompletionChunk(id, model, {}, state.finishReason)));
|
|
controller.enqueue(encoder.encode("data: [DONE]\n\n"));
|
|
closed = true;
|
|
controller.close();
|
|
reader.cancel().catch(() => undefined);
|
|
break;
|
|
}
|
|
case "error": {
|
|
const error = isRecord(event.error) ? event.error : {};
|
|
throw new Error(
|
|
stringValue(error.message) || stringValue(event.error) || "Command Code stream error"
|
|
);
|
|
}
|
|
}
|
|
};
|
|
|
|
const pump = async () => {
|
|
try {
|
|
for (;;) {
|
|
if (closed) return;
|
|
const { done, value } = await reader.read();
|
|
if (done) break;
|
|
buffer += decoder.decode(value, { stream: true });
|
|
const lines = buffer.split("\n");
|
|
buffer = lines.pop() || "";
|
|
for (const line of lines) emitEvent(parseStreamLine(line));
|
|
}
|
|
if (buffer.trim()) emitEvent(parseStreamLine(buffer));
|
|
if (!closed) {
|
|
if (!sentRole)
|
|
controller.enqueue(sse(chatCompletionChunk(id, model, { role: "assistant" })));
|
|
controller.enqueue(sse(chatCompletionChunk(id, model, {}, state.finishReason)));
|
|
controller.enqueue(encoder.encode("data: [DONE]\n\n"));
|
|
controller.close();
|
|
}
|
|
} catch (error) {
|
|
controller.error(error);
|
|
} finally {
|
|
signal?.removeEventListener("abort", abort);
|
|
try {
|
|
reader.releaseLock();
|
|
} catch (error) {
|
|
console.warn(
|
|
"[commandCode] reader releaseLock failed:",
|
|
error instanceof Error ? error.message : String(error)
|
|
);
|
|
}
|
|
}
|
|
};
|
|
|
|
pump();
|
|
},
|
|
cancel() {
|
|
closed = true;
|
|
return reader?.cancel();
|
|
},
|
|
});
|
|
|
|
return new Response(stream, {
|
|
status: 200,
|
|
headers: { "Content-Type": "text/event-stream; charset=utf-8", "Cache-Control": "no-cache" },
|
|
});
|
|
}
|
|
|
|
async function createJsonResponse(
|
|
upstream: Response,
|
|
model: string,
|
|
signal?: AbortSignal | null
|
|
): Promise<Response> {
|
|
const reader = upstream.body?.getReader();
|
|
if (!reader) throw new Error("Command Code response missing body");
|
|
|
|
const decoder = new TextDecoder();
|
|
let buffer = "";
|
|
const state: AggregateState = {
|
|
content: "",
|
|
reasoning: "",
|
|
toolCalls: [],
|
|
finishReason: "stop",
|
|
usage: null,
|
|
};
|
|
|
|
try {
|
|
for (;;) {
|
|
if (signal?.aborted) throw new DOMException("The operation was aborted", "AbortError");
|
|
const { done, value } = await reader.read();
|
|
if (done) break;
|
|
buffer += decoder.decode(value, { stream: true });
|
|
const lines = buffer.split("\n");
|
|
buffer = lines.pop() || "";
|
|
for (const line of lines) {
|
|
const event = parseStreamLine(line);
|
|
if (!isRecord(event)) continue;
|
|
applyEventToAggregateOrThrow(event, state);
|
|
}
|
|
}
|
|
if (buffer.trim()) {
|
|
const event = parseStreamLine(buffer);
|
|
if (isRecord(event)) applyEventToAggregateOrThrow(event, state);
|
|
}
|
|
} finally {
|
|
try {
|
|
await reader.cancel();
|
|
} catch (error) {
|
|
console.warn(
|
|
"[commandCode] reader cancel failed:",
|
|
error instanceof Error ? error.message : String(error)
|
|
);
|
|
}
|
|
try {
|
|
reader.releaseLock();
|
|
} catch (error) {
|
|
console.warn(
|
|
"[commandCode] reader releaseLock failed:",
|
|
error instanceof Error ? error.message : String(error)
|
|
);
|
|
}
|
|
}
|
|
|
|
const message: JsonRecord = { role: "assistant", content: state.content };
|
|
if (state.reasoning) message.reasoning_content = state.reasoning;
|
|
if (state.toolCalls.length > 0) message.tool_calls = state.toolCalls;
|
|
|
|
const payload: JsonRecord = {
|
|
id: `chatcmpl-${randomUUID()}`,
|
|
object: "chat.completion",
|
|
created: Math.floor(Date.now() / 1000),
|
|
model,
|
|
choices: [{ index: 0, message, finish_reason: state.finishReason }],
|
|
};
|
|
const usage = usageFromCommandCode(state.usage);
|
|
if (usage) payload.usage = usage;
|
|
|
|
return new Response(JSON.stringify(payload), {
|
|
status: 200,
|
|
headers: { "Content-Type": "application/json" },
|
|
});
|
|
}
|
|
|
|
export class CommandCodeExecutor extends BaseExecutor {
|
|
constructor(provider = "command-code") {
|
|
super(provider, REGISTRY["command-code"]);
|
|
}
|
|
|
|
buildUrl() {
|
|
const baseUrl = (this.config.baseUrl || "https://api.commandcode.ai").replace(/\/$/, "");
|
|
return `${baseUrl}${this.config.chatPath || "/alpha/generate"}`;
|
|
}
|
|
|
|
async execute({ model, body, stream, credentials, signal, upstreamExtraHeaders }: ExecuteInput) {
|
|
const apiKey = credentials?.apiKey || credentials?.accessToken;
|
|
if (!apiKey) throw new Error("Command Code API key required");
|
|
|
|
const headers: Record<string, string> = {
|
|
"Content-Type": "application/json",
|
|
Authorization: `Bearer ${apiKey}`,
|
|
"x-command-code-version": COMMAND_CODE_VERSION,
|
|
"x-cli-environment": "external",
|
|
"x-project-slug": "pi-cc",
|
|
"x-taste-learning": "false",
|
|
"x-co-flag": "false",
|
|
"x-session-id": randomUUID(),
|
|
};
|
|
mergeUpstreamExtraHeaders(headers, upstreamExtraHeaders);
|
|
|
|
const transformedBody = buildCommandCodeBody(model, body, stream);
|
|
const url = this.buildUrl();
|
|
const upstream = await fetch(url, {
|
|
method: "POST",
|
|
headers,
|
|
body: JSON.stringify(transformedBody),
|
|
signal: signal || undefined,
|
|
});
|
|
|
|
if (!upstream.ok) {
|
|
const errorText = await upstream.text().catch(() => {
|
|
console.warn("[commandCode] upstream text failed");
|
|
return "";
|
|
});
|
|
return {
|
|
response: new Response(errorText || `Command Code API error ${upstream.status}`, {
|
|
status: upstream.status,
|
|
statusText: upstream.statusText,
|
|
headers: upstream.headers,
|
|
}),
|
|
url,
|
|
headers,
|
|
transformedBody,
|
|
};
|
|
}
|
|
|
|
const response = stream
|
|
? createStreamResponse(upstream, model, signal)
|
|
: await createJsonResponse(upstream, model, signal);
|
|
|
|
return { response, url, headers, transformedBody };
|
|
}
|
|
}
|