Cline (api.cline.bot) wraps non-stream chat completions in
{"success":true,"data":{...choices...}}, which both the dashboard model-test
ping and the proxy non-stream path read at top level, producing "Provider
returned no completion choices for this model" (#3644). Unwrap the envelope
before usage extraction and response translation; the error envelope
({"success":false,...}) never matches and passes through untouched.
Scoped through `transport.quirks.clineEnvelope` so only cline/clinepass opt
in — no other provider's response body is ever rewritten.
Also adds a live Cline catalog: `fetchClineRawModels()` is shared between
`resolveClineModels()` (full catalog, including free-tier ids such as
z-ai/glm-5.3-flash) and `resolveClinepassModels()` (cline-pass/* only), wired
into /v1/models, the per-provider models route, and the combo selector's
model picker with the static catalog kept as fallback.
Refreshes the dead api-airforce free models (anthropic/claude-3.7-sonnet,
moonshot/kimi-k2.6, google/gemini-2.5-flash) with the live gpt-oss-120b,
gpt-oss-20b and kimi-k2.7-code, plus passthroughModels, forceStream and a
suggested-models filter.
218 lines
8.2 KiB
JavaScript
218 lines
8.2 KiB
JavaScript
import { getApiKeys } from "@/lib/localDb";
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import { resolveProviderId } from "@/shared/constants/providers.js";
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import { unwrapClineEnvelope } from "open-sse/shared/clineEnvelope.js";
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import { UPDATER_CONFIG } from "@/shared/constants/config";
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import { getConsistentMachineId } from "@/shared/utils/machineId";
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const CLI_TOKEN_SALT = "9r-cli-auth";
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function createSilentWavFile() {
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const sampleRate = 16000;
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const channels = 1;
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const bitsPerSample = 16;
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const durationMs = 250;
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const sampleCount = Math.max(1, Math.floor((sampleRate * durationMs) / 1000));
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const dataSize = sampleCount * channels * (bitsPerSample / 8);
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const buffer = new ArrayBuffer(44 + dataSize);
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const view = new DataView(buffer);
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const writeAscii = (offset, value) => {
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for (let i = 0; i < value.length; i += 1) {
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view.setUint8(offset + i, value.charCodeAt(i));
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}
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};
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writeAscii(0, "RIFF");
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view.setUint32(4, 36 + dataSize, true);
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writeAscii(8, "WAVE");
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writeAscii(12, "fmt ");
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view.setUint32(16, 16, true);
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view.setUint16(20, 1, true);
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view.setUint16(22, channels, true);
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view.setUint32(24, sampleRate, true);
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view.setUint32(28, sampleRate * channels * (bitsPerSample / 8), true);
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view.setUint16(32, channels * (bitsPerSample / 8), true);
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view.setUint16(34, bitsPerSample, true);
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writeAscii(36, "data");
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view.setUint32(40, dataSize, true);
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return new Blob([buffer], { type: "audio/wav" });
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}
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async function getInternalHeaders() {
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let apiKey = null;
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try {
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const keys = await getApiKeys();
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apiKey = keys.find((k) => k.isActive !== false)?.key || null;
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} catch {}
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const headers = { "Content-Type": "application/json" };
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if (apiKey) headers["Authorization"] = `Bearer ${apiKey}`;
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headers["x-9r-cli-token"] = await getConsistentMachineId(CLI_TOKEN_SALT);
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return headers;
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}
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export async function pingModelByKind(model, kind, baseUrl = `http://127.0.0.1:${process.env.PORT || UPDATER_CONFIG.appPort}`) {
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const headers = await getInternalHeaders();
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const start = Date.now();
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if (kind === "embedding") {
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const res = await fetch(`${baseUrl}/api/v1/embeddings`, {
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method: "POST",
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headers,
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body: JSON.stringify({ model, input: "test" }),
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signal: AbortSignal.timeout(15000),
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});
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const latencyMs = Date.now() - start;
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const rawText = await res.text().catch(() => "");
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let parsed = null;
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try { parsed = rawText ? JSON.parse(rawText) : null; } catch {}
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if (!res.ok) {
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const detail = parsed?.error?.message || parsed?.error || rawText;
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return { ok: false, latencyMs, error: `HTTP ${res.status}${detail ? `: ${String(detail).slice(0, 240)}` : ""}`, status: res.status };
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}
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const hasEmbedding = Array.isArray(parsed?.data) && parsed.data.length > 0 && Array.isArray(parsed.data[0]?.embedding);
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if (!hasEmbedding) {
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return { ok: false, latencyMs, status: res.status, error: "Provider returned no embedding data" };
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}
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return { ok: true, latencyMs, error: null, status: res.status };
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}
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if (kind === "image") {
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const res = await fetch(`${baseUrl}/api/v1/images/generations`, {
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method: "POST",
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headers,
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body: JSON.stringify({ model, prompt: "test" }),
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signal: AbortSignal.timeout(15000),
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});
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const latencyMs = Date.now() - start;
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const rawText = await res.text().catch(() => "");
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let parsed = null;
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try { parsed = rawText ? JSON.parse(rawText) : null; } catch {}
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if (!res.ok) {
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const detail = parsed?.error?.message || parsed?.msg || parsed?.message || parsed?.error || rawText;
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return { ok: false, latencyMs, error: `HTTP ${res.status}${detail ? `: ${String(detail).slice(0, 240)}` : ""}`, status: res.status };
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}
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const hasImages = Array.isArray(parsed?.data) && parsed.data.length > 0;
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if (!hasImages) {
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return { ok: false, latencyMs, status: res.status, error: "Provider returned no image data for this model" };
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}
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return { ok: true, latencyMs, error: null, status: res.status };
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}
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if (kind === "stt") {
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const form = new FormData();
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const sampleAudio = createSilentWavFile();
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form.append("file", sampleAudio, "test.wav");
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form.append("model", model);
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const res = await fetch(`${baseUrl}/api/v1/audio/transcriptions`, {
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method: "POST",
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headers: Object.fromEntries(Object.entries(headers).filter(([key]) => key.toLowerCase() !== "content-type")),
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body: form,
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signal: AbortSignal.timeout(15000),
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});
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const latencyMs = Date.now() - start;
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const rawText = await res.text().catch(() => "");
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let parsed = null;
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try { parsed = rawText ? JSON.parse(rawText) : null; } catch {}
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if (!res.ok) {
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const detail = parsed?.error?.message || parsed?.msg || parsed?.message || parsed?.error || rawText;
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return { ok: false, latencyMs, error: `HTTP ${res.status}${detail ? `: ${String(detail).slice(0, 240)}` : ""}`, status: res.status };
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}
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const text = typeof parsed?.text === "string" ? parsed.text : "";
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if (!text.trim()) {
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return { ok: false, latencyMs, status: res.status, error: "Provider returned no transcription text for this model" };
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}
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return { ok: true, latencyMs, error: null, status: res.status };
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}
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const res = await fetch(`${baseUrl}/api/v1/chat/completions`, {
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method: "POST",
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headers,
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body: JSON.stringify({
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model,
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// 1024 tokens: reasoning models (ClinePass/kimi-k3, deepseek-v4-pro, etc.) spend
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// their budget on chain-of-thought before emitting an answer. A tiny probe like
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// max_tokens:16 starves the answer and yields a false "no choices" failure.
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// See issue #3010.
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max_tokens: 1024,
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stream: false,
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messages: [{ role: "user", content: "hi" }],
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}),
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signal: AbortSignal.timeout(15000),
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});
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const latencyMs = Date.now() - start;
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const rawText = await res.text().catch(() => "");
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let parsed = null;
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try { parsed = rawText ? JSON.parse(rawText) : null; } catch {}
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// Unwrap before the choices checks below. No-op for providers that do not
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// opt in via transport.quirks.clineEnvelope.
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const providerId = resolveProviderId(String(model).split("/")[0]);
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parsed = unwrapClineEnvelope(parsed, providerId);
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if (!res.ok) {
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const detail = parsed?.error?.message || parsed?.msg || parsed?.message || parsed?.error || rawText;
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return { ok: false, latencyMs, error: `HTTP ${res.status}${detail ? `: ${String(detail).slice(0, 240)}` : ""}`, status: res.status };
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}
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const providerStatus = parsed?.status;
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const providerMsg = parsed?.msg || parsed?.message;
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const hasProviderErrorStatus = providerStatus !== undefined
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&& providerStatus !== null
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&& String(providerStatus) !== "200"
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&& String(providerStatus) !== "0";
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if (hasProviderErrorStatus && providerMsg) {
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return {
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ok: false,
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latencyMs,
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status: res.status,
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error: `Provider status ${providerStatus}: ${String(providerMsg).slice(0, 240)}`,
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};
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}
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if (parsed?.error) {
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const providerError = parsed?.error?.message || parsed?.error || "Provider returned an error";
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return {
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ok: false,
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latencyMs,
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status: res.status,
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error: String(providerError).slice(0, 240),
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};
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}
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const hasChoices = Array.isArray(parsed?.choices) && parsed.choices.length > 0;
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// Soft-pass (issue #3010): a reasoning model may burn its whole budget on
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// chain-of-thought and return finish_reason:"length" with empty content but
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// non-empty reasoning/thinking. That's a successful connection, not a failure.
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const firstChoice = parsed?.choices?.[0] || {};
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const hasReasoning =
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firstChoice.message?.reasoning ||
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firstChoice.message?.reasoning_content ||
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firstChoice.message?.thinking ||
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firstChoice.message?.thinking_content;
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const contentEmpty = !String(firstChoice.message?.content || "").trim();
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if (hasChoices && firstChoice.finish_reason === "length" && contentEmpty && hasReasoning) {
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return { ok: true, latencyMs, error: null, status: res.status, note: "reasoning-only response (length-limited)" };
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}
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if (!hasChoices) {
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return {
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ok: false,
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latencyMs,
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status: res.status,
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error: "Provider returned no completion choices for this model",
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};
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}
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return { ok: true, latencyMs, error: null, status: res.status };
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}
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