Files
9router/open-sse/translator/concerns/paramSupport.js
T
Anantachoke 7c2b1fe3e1 fix(translator): drop replayed reasoning fields for Groq/Mistral/Cerebras (#4220)
Strict OpenAI-compatible validators reject unknown assistant-message
fields: Groq 400 ("property 'reasoning_content' is unsupported"),
Mistral 422 ("extra_forbidden"), Cerebras 400 ("wrong_api_format").

Clients driving reasoning models (Hermes Agent, and anything following
the DeepSeek/Kimi convention) echo the previous turn's reasoning_content
on every assistant message, so from the second turn on every request to
these providers fails and a fallback combo silently skips them.

Add a dropMessageFields rule to paramSupport.js that strips
reasoning_content / reasoning / reasoning_details from assistant turns
for groq, mistral, and cerebras.
2026-09-21 20:02:21 +07:00

97 lines
4.9 KiB
JavaScript

import { getCapabilitiesForModel } from "../../providers/capabilities.js";
// Strip request params a given provider/model rejects upstream (e.g. HTTP 400).
// Config-driven: add a rule instead of scattering `delete body.x` across executors.
// Each rule: optional provider, regex match on model, list of params to drop.
// A param is removed only when it is present (!== undefined).
const STRIP_RULES = [
// All Claude models: temperature deprecated/rejected upstream (Anthropic 400). #1748
{ match: /claude/i, drop: ["temperature"] },
// GitHub Copilot gpt-5.4: temperature unsupported.
{ provider: "github", match: /gpt-5\.4/i, drop: ["temperature"] },
// GitHub Copilot Claude (except opus/sonnet 4.6): thinking + reasoning_effort rejected. #713
{ provider: "github", match: (m) => /claude/i.test(m) && !/claude.*(opus|sonnet).*4\.6/i.test(m), drop: ["thinking", "reasoning_effort"] },
// Cloudflare Workers AI: content must be plain string, rejects OpenAI content-part array (#1926)
{ provider: "cloudflare-ai", flattenContent: true },
// MiMo Desktop Preview models (account-service route): content must be plain string,
// rejects OpenAI content-part array. Cloud models keep their parts (mimo-v2-omni is multi-modal).
{ provider: "xiaomi-mimo", match: /preview/i, 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 },
// Strict OpenAI-compatible validators reject unknown assistant-message fields.
// Clients that talk to reasoning models (e.g. Hermes) echo the prior turn's
// reasoning back on every assistant message; Groq answers 400 and Mistral 422
// ("extra_forbidden") on it, which knocks these providers out of every
// multi-turn combo. Providers that *require* the field (DeepSeek, Kimi) are
// handled by reasoningContentInjector and are not listed here.
{ provider: "groq", dropMessageFields: ["reasoning_content", "reasoning", "reasoning_details"] },
{ provider: "mistral", dropMessageFields: ["reasoning_content", "reasoning", "reasoning_details"] },
{ provider: "cerebras", dropMessageFields: ["reasoning_content", "reasoning", "reasoning_details"] },
];
// Test a rule's match (regex or predicate) against the model id.
function matches(rule, model) {
if (!rule.match) return true;
return typeof rule.match === "function" ? rule.match(model) : rule.match.test(model);
}
function clampNumber(body, key, ceiling) {
if (typeof body[key] === "number" && Number.isFinite(body[key]) && body[key] > ceiling) {
body[key] = ceiling;
}
}
// Remove unsupported params from body in place; returns body.
export function stripUnsupportedParams(provider, model, body) {
if (!model || !body || typeof body !== "object") return body;
for (const rule of STRIP_RULES) {
if (rule.provider && rule.provider !== provider) continue;
if (!matches(rule, model)) continue;
for (const key of rule.drop || []) {
if (body[key] !== undefined) delete body[key];
}
// Per-message field drop (assistant turns only — that is where clients replay reasoning).
if (Array.isArray(rule.dropMessageFields) && Array.isArray(body.messages)) {
for (const msg of body.messages) {
if (!msg || msg.role !== "assistant") continue;
for (const key of rule.dropMessageFields) {
if (msg[key] !== undefined) delete msg[key];
}
}
}
// CF Workers AI oneOf root schema only accepts content as plain string (#1926)
if (rule.flattenContent && Array.isArray(body.messages)) {
for (const msg of body.messages) {
if (msg && Array.isArray(msg.content)) {
msg.content = msg.content
.map(b => (b?.type === "text" && typeof b.text === "string") ? b.text : "")
.join("");
}
}
}
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);
}
}
}
return body;
}