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38 lines
1.3 KiB
JavaScript
38 lines
1.3 KiB
JavaScript
// Some thinking-mode providers (DeepSeek, Kimi, ...) require reasoning_content
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// to be echoed back on assistant messages. Clients in OpenAI format don't send it,
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// so we inject a non-empty placeholder to satisfy upstream validation.
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const PLACEHOLDER = " ";
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// Provider-level rules: keyed by executor.provider
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const PROVIDER_RULES = {
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deepseek: { scope: "all" }
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};
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// Model-level rules: matched by predicate against model id
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const MODEL_RULES = [
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{ match: m => m?.startsWith?.("kimi-"), scope: "toolCalls" },
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{ match: m => m?.startsWith?.("deepseek-"), scope: "all" }
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];
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function shouldInject(message, scope) {
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if (message?.role !== "assistant" || "reasoning_content" in message) return false;
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if (scope === "toolCalls") return Array.isArray(message.tool_calls);
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return true;
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}
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function applyRule(body, rule) {
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if (!rule || !body?.messages) return body;
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const messages = body.messages.map(m =>
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shouldInject(m, rule.scope) ? { ...m, reasoning_content: PLACEHOLDER } : m
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);
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return { ...body, messages };
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}
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export function injectReasoningContent({ provider, model, body }) {
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const providerRule = PROVIDER_RULES[provider];
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const modelRule = MODEL_RULES.find(r => r.match(model));
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const rule = providerRule || modelRule;
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return applyRule(body, rule);
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}
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