import crypto from "crypto"; import { BaseExecutor } from "./base.js"; import { PROVIDERS } from "../config/providers.js"; import { getThinkingLevels } from "../providers/thinkingLevels.js"; import { injectReasoningContent } from "../utils/reasoningContentInjector.js"; import { resolveSessionId } from "../utils/sessionManager.js"; import { isMuseSparkModel } from "../providers/models/helpers.js"; import { ANTHROPIC_API_VERSION } from "../providers/shared.js"; const OPENCODE_UA = "opencode/1.18.31"; const MAX_SESSION_LENGTH = 256; const SESSION_HEADER = "x-opencode-session"; const SESSION_FIELD = "_opencodeSession"; export const OPENCODE_SESSION_RE = /^ses_[0-9a-f]{12}[0-9A-Za-z]{14}$/; const BASE62_CHARS = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"; function hasValidOpencodeVersion(ua) { const m = String(ua || "").match(/opencode\/(\d+)\.(\d+)(?:\.(\d+))?/i); if (!m) return false; const major = parseInt(m[1], 10); const minor = parseInt(m[2], 10); return major > 1 || (major === 1 && minor >= 17); } // Models served by /zen/v1/responses; every other model stays on /chat/completions. const RESPONSES_MODELS = new Set([ "muse-spark-1.2-contributor-free", "muse-spark-1.3-contributor-free", ]); const MESSAGES_MODELS = new Set(["union-alpha"]); let lastTimestamp = 0; let counter = 0; function unstableRandom() { const bytes = crypto.randomBytes(14); let randomPart = ""; for (let i = 0; i < 14; i++) { randomPart += BASE62_CHARS[bytes[i] % 62]; } return randomPart; } export function generateSessionId(timestamp = Date.now()) { if (timestamp !== lastTimestamp) { lastTimestamp = timestamp; counter = 0; } counter++; const current = BigInt(timestamp) * 0x1000n + BigInt(counter); const value = ~current; const time = Array.from({ length: 6 }, (_, index) => Number((value >> BigInt(40 - 8 * index)) & 0xffn) .toString(16) .padStart(2, "0") ).join(""); return `ses_${time}${unstableRandom()}`; } export function generateRequestId(timestamp = Date.now()) { const current = BigInt(timestamp) * 0x1000n + 1n; const value = current; const time = Array.from({ length: 6 }, (_, index) => Number((value >> BigInt(40 - 8 * index)) & 0xffn) .toString(16) .padStart(2, "0") ).join(""); return `msg_${time}${unstableRandom()}`; } export function translateSessionId(sessionId, clientTool = "") { if (typeof sessionId === "string" && OPENCODE_SESSION_RE.test(sessionId.trim())) { return sessionId.trim(); } const digest = crypto .createHash("sha256") .update(`opencode\0${clientTool || "generic"}\0${sessionId || ""}`) .digest(); const timeHex = digest.subarray(0, 6).toString("hex"); let randomPart = ""; for (let i = 6; i < 20; i++) { randomPart += BASE62_CHARS[digest[i] % 62]; } return `ses_${timeHex}${randomPart}`; } function normalizeSession(value) { if (typeof value !== "string") return null; const normalized = value.trim(); if (!normalized || normalized.length > MAX_SESSION_LENGTH) return null; return normalized; } function nativeSession(headers) { if (!headers || typeof headers !== "object") return null; for (const [key, value] of Object.entries(headers)) { if (key.toLowerCase() === SESSION_HEADER) { const normalized = normalizeSession(value); if (normalized && OPENCODE_SESSION_RE.test(normalized)) return normalized; } } return null; } // Strip the thinking suffix "model(level)" so registry lookups hit the base id. function baseModelId(model) { return String(model || "").replace(/\([^()]+\)\s*$/, "").trim(); } function isResponsesModel(model) { const base = baseModelId(model); return RESPONSES_MODELS.has(base) || isMuseSparkModel(base); } function isMessagesModel(model) { return MESSAGES_MODELS.has(baseModelId(model)); } function resolveOpencodeSession(body, credentials, providerSessionId, clientTool) { const headers = credentials?.rawHeaders || {}; const native = nativeSession(headers); if (native) return native; let incoming = null; for (const [key, value] of Object.entries(headers)) { if (key.toLowerCase() === SESSION_HEADER) { incoming = normalizeSession(value); break; } } const resolved = incoming || normalizeSession(providerSessionId) || resolveSessionId({ headers, body, connectionId: credentials?.connectionId, scope: "opencode", }); return resolved ? translateSessionId(resolved, clientTool) : generateSessionId(); } function normalizeOpencodeReasoning(model, body) { const current = body.reasoning; const currentReasoning = current && typeof current === "object" && !Array.isArray(current) ? current : null; const requestedEffort = typeof body.reasoning_effort === "string" ? body.reasoning_effort : currentReasoning?.effort; if (typeof requestedEffort !== "string") return; const cleanModel = baseModelId(model || body.model); const supportedLevels = getThinkingLevels("opencode", cleanModel); let effort = requestedEffort.toLowerCase().trim(); if ((effort === "max" || effort === "ultra") && supportedLevels?.length && !supportedLevels.includes(effort)) { if (effort === "ultra" && supportedLevels.includes("max")) effort = "max"; else if (supportedLevels.includes("xhigh")) effort = "xhigh"; } body.reasoning = { ...currentReasoning, effort }; if (!body.reasoning.summary) body.reasoning.summary = "auto"; delete body.reasoning_effort; } export class OpenCodeExecutor extends BaseExecutor { constructor() { super("opencode", PROVIDERS.opencode); } prepareRequestCredentials({ body, credentials, providerSessionId, clientTool } = {}) { const sourceCredentials = credentials || {}; const resolved = resolveOpencodeSession(body, sourceCredentials, providerSessionId, clientTool); return { ...sourceCredentials, [SESSION_FIELD]: resolved, }; } transformRequest(model, body, stream, credentials) { if (body && typeof body === "object" && model && !body.model) body.model = model; if (isResponsesModel(model) && body && typeof body === "object") { // Responses API names the output cap max_output_tokens and takes thinking // as reasoning:{effort,summary} — normalize the Chat fields at this boundary. if (body.max_output_tokens === undefined) { if (body.max_completion_tokens !== undefined) body.max_output_tokens = body.max_completion_tokens; else if (body.max_tokens !== undefined) body.max_output_tokens = body.max_tokens; } delete body.max_tokens; delete body.max_completion_tokens; normalizeOpencodeReasoning(model, body); } return injectReasoningContent({ provider: this.provider, model, body }); } async execute(args) { return super.execute({ ...args, credentials: this.prepareRequestCredentials(args) }); } buildUrl(model) { const base = this.config.baseUrl; if (isResponsesModel(model)) return `${base}/zen/v1/responses`; if (isMessagesModel(model)) return `${base}/zen/v1/messages`; return `${base}/zen/v1/chat/completions`; } buildHeaders(credentials, stream = true, url = "") { const raw = credentials?.rawHeaders || {}; const lower = {}; for (const [k, v] of Object.entries(raw)) lower[k.toLowerCase()] = v; const downstreamUa = lower["user-agent"] || ""; const isOpencodeDownstream = hasValidOpencodeVersion(downstreamUa); const session = credentials?.[SESSION_FIELD] || this.prepareRequestCredentials({ credentials })[SESSION_FIELD]; const headers = { "Content-Type": "application/json", "Authorization": "Bearer public", "User-Agent": isOpencodeDownstream ? downstreamUa : OPENCODE_UA, "x-opencode-client": lower["x-opencode-client"] || "desktop", "x-opencode-session": session, "x-opencode-request": lower["x-opencode-request"] || generateRequestId(), "x-opencode-project": lower["x-opencode-project"] || "global", "Accept": stream ? "text/event-stream" : "*/*", }; if (url.endsWith("/messages")) headers["anthropic-version"] = ANTHROPIC_API_VERSION; return headers; } }