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@@ -56,7 +56,8 @@ export const generateContent = async (
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const requestOptions: any = {
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model: config.model,
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messages,
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temperature: config.temperature,
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// Clamp temperature to 1.0 max for compatibility with strict providers (NVIDIA, vLLM, etc.)
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temperature: typeof config.temperature === 'number' ? Math.min(config.temperature, 1.0) : undefined,
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};
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if (config.responseFormat === 'json_object') {
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@@ -68,11 +69,11 @@ export const generateContent = async (
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const message = response.choices[0]?.message;
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const content = message?.content || '';
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// Check for DeepSeek native reasoning field
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// Check for native reasoning_content field (DeepSeek/NVIDIA style)
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const reasoningContent = (message as any)?.reasoning_content;
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if (reasoningContent && config.thinkingConfig?.includeThoughts) {
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return { text: content, thought: reasoningContent };
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return { text: content, thought: reasoningContent };
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}
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if (config.thinkingConfig?.includeThoughts) {
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@@ -108,7 +109,8 @@ export async function* generateContentStream(
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const requestOptions: any = {
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model: config.model,
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messages,
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temperature: config.temperature,
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// Clamp temperature to 1.0 max for compatibility with strict providers
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temperature: typeof config.temperature === 'number' ? Math.min(config.temperature, 1.0) : undefined,
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stream: true,
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};
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@@ -119,51 +121,56 @@ export async function* generateContentStream(
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let currentThought = '';
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for await (const chunk of (stream as any)) {
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const delta = chunk.choices[0]?.delta?.content || '';
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// Support DeepSeek native reasoning field
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const reasoningDelta = (chunk.choices[0]?.delta as any)?.reasoning_content || '';
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// If we have native reasoning content, yield it immediately as thought
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if (reasoningDelta) {
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yield { text: '', thought: reasoningDelta };
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}
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const delta = chunk.choices[0]?.delta;
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if (!delta) continue;
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accumulatedText += delta;
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const content = delta.content || '';
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// Check for native reasoning_content field (DeepSeek/NVIDIA style)
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const reasoning = delta.reasoning_content || '';
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if (config.thinkingConfig?.includeThoughts) {
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if (delta.includes('<thinking>')) {
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inThinking = true;
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continue;
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}
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// If native reasoning field exists, emit it immediately
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if (reasoning && config.thinkingConfig?.includeThoughts) {
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yield { text: '', thought: reasoning };
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}
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if (inThinking) {
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if (delta.includes('</thinking>')) {
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inThinking = false;
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const parts = delta.split('</thinking>', 2);
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currentThought += parts[0];
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if (content) {
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accumulatedText += content;
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if (currentThought.trim()) {
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yield { text: '', thought: currentThought };
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currentThought = '';
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}
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if (config.thinkingConfig?.includeThoughts) {
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// Fallback to tag parsing if reasoning_content wasn't provided but tags exist
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if (content.includes('<thinking>')) {
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inThinking = true;
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continue;
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}
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if (parts[1]) {
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yield { text: parts[1], thought: '' };
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if (inThinking) {
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if (content.includes('</thinking>')) {
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inThinking = false;
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const parts = content.split('</thinking>', 2);
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currentThought += parts[0];
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if (currentThought.trim()) {
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yield { text: '', thought: currentThought };
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currentThought = '';
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}
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if (parts[1]) {
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yield { text: parts[1], thought: '' };
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}
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} else {
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currentThought += content;
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// Emit thought chunks periodically so it doesn't hang
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if (currentThought.length > 50) {
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yield { text: '', thought: currentThought };
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currentThought = '';
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}
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}
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} else {
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currentThought += delta;
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if (currentThought.length > 100) {
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yield { text: '', thought: currentThought };
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currentThought = '';
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}
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yield { text: content, thought: '' };
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}
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} else {
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yield { text: delta, thought: '' };
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yield { text: content, thought: '' };
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}
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} else {
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yield { text: delta, thought: '' };
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}
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}
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@@ -5,11 +5,11 @@ export const MANAGER_SYSTEM_PROMPT = `You are the "Dynamic Planning Engine". You
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Your job is to create SUPPLEMENTARY experts
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For each expert, you must assign a specific 'temperature' (0.0 to 2.0) based on the nature of their task:
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For each expert, you must assign a specific 'temperature' (0.0 to 1.0) based on the nature of their task:
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* High temperature (1.0 - 2.0)
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* Low temperature (0.0 - 0.4)
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* Medium temperature (0.4 - 1.0)`;
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* High temperature (0.7 - 1.0) - For creative, brainstorming, or open-ended tasks.
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* Low temperature (0.0 - 0.3) - For code, math, logic, or factual tasks.
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* Medium temperature (0.3 - 0.7) - For balanced analysis and general explanation.`;
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export const MANAGER_REVIEW_SYSTEM_PROMPT = `
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You are the "Quality Assurance & Orchestration Engine".
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