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fix(volcengine-ark): clamp Kimi max_tokens to 32768 endpoint cap

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VolcEngine Ark caps the Kimi family at max_tokens <= 32768, but the
model's advertised ceiling is far higher (Kimi-K2.7-Code resolves to
maxOutput 262144), so clampToModelMaxOutput alone leaves it uncapped and
the request 400s. Add a Kimi-scoped rule with an explicit maxOutputCap of
32768, combined with the model ceiling via min(). Covers max_tokens,
max_completion_tokens, max_output_tokens.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
whale9820
2026-07-09 15:04:14 +07:00
committed by decolua
parent a4c5fa4e14
commit cfbdf06047
1 changed files with 17 additions and 3 deletions
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20
open-sse/translator/concerns/paramSupport.js
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@@ -15,6 +15,12 @@ const STRIP_RULES = [
// Cloudflare Workers AI: content must be plain string, rejects OpenAI content-part array (#1926)
{ provider: "cloudflare-ai", flattenContent: true },
{ provider: "volcengine-ark", match: /glm-5/i, clampToModelMaxOutput: true },
// VolcEngine Ark caps the Kimi family at max_tokens <= 32768, but the model's
// advertised ceiling is far higher (Kimi-K2.7-Code resolves to maxOutput 262144),
// so clampToModelMaxOutput alone leaves it uncapped and the request 400s with
// "integer above maximum value, expected <= 32768". Pin an explicit endpoint cap;
// min() with the model ceiling still applies if a variant's own limit is lower.
{ provider: "volcengine-ark", match: /kimi/i, maxOutputCap: 32768, clampToModelMaxOutput: true },
];
// Test a rule's match (regex or predicate) against the model id.
@@ -48,9 +54,17 @@ export function stripUnsupportedParams(provider, model, body) {
}
}
}
if (rule.clampToModelMaxOutput) {
const ceiling = getCapabilitiesForModel(provider, model).maxOutput;
if (Number.isFinite(ceiling) && ceiling > 0) {
if (rule.clampToModelMaxOutput || Number.isFinite(rule.maxOutputCap)) {
const modelCeiling = getCapabilitiesForModel(provider, model).maxOutput;
const candidates = [];
if (rule.clampToModelMaxOutput && Number.isFinite(modelCeiling) && modelCeiling > 0) {
candidates.push(modelCeiling);
}
if (Number.isFinite(rule.maxOutputCap) && rule.maxOutputCap > 0) {
candidates.push(rule.maxOutputCap);
}
if (candidates.length > 0) {
const ceiling = Math.min(...candidates);
clampNumber(body, "max_tokens", ceiling);
clampNumber(body, "max_completion_tokens", ceiling);
clampNumber(body, "max_output_tokens", ceiling);