🤖 feat: Tool Calling Support for DeepSeek V3.2 + OpenRouter Reasoning (#10752)

* 🔧 chore: Update @librechat/agents to version 3.0.35

* ✨ feat: Add DeepSeek Model Pricing and Token Handling

- Introduced pricing and token limits for 'deepseek-chat' and 'deepseek-reasoner' models, including prompt and completion rates.
- Enhanced tests to validate pricing and token limits for DeepSeek models, ensuring correct handling of model variations and provider prefixes.
- Updated cache multipliers for DeepSeek models to reflect new pricing structure.
- Improved max output token handling for DeepSeek models, ensuring consistency across different endpoints.

api/utils/tokens.spec.js

@@ -665,7 +665,7 @@ describe('Meta Models Tests', () => {
 
     test('should match Deepseek model variations', () => {
       expect(getModelMaxTokens('deepseek-chat')).toBe(
-        maxTokensMap[EModelEndpoint.openAI]['deepseek'],
+        maxTokensMap[EModelEndpoint.openAI]['deepseek-chat'],
       );
       expect(getModelMaxTokens('deepseek-coder')).toBe(
         maxTokensMap[EModelEndpoint.openAI]['deepseek'],
@@ -677,6 +677,20 @@ describe('Meta Models Tests', () => {
         maxTokensMap[EModelEndpoint.openAI]['deepseek.r1'],
       );
     });
+
+    test('should return 128000 context tokens for all DeepSeek models', () => {
+      expect(getModelMaxTokens('deepseek-chat')).toBe(128000);
+      expect(getModelMaxTokens('deepseek-reasoner')).toBe(128000);
+      expect(getModelMaxTokens('deepseek-r1')).toBe(128000);
+      expect(getModelMaxTokens('deepseek-v3')).toBe(128000);
+      expect(getModelMaxTokens('deepseek.r1')).toBe(128000);
+    });
+
+    test('should handle DeepSeek models with provider prefixes', () => {
+      expect(getModelMaxTokens('deepseek/deepseek-chat')).toBe(128000);
+      expect(getModelMaxTokens('openrouter/deepseek-reasoner')).toBe(128000);
+      expect(getModelMaxTokens('openai/deepseek-v3')).toBe(128000);
+    });
   });
 
   describe('matchModelName', () => {
@@ -705,11 +719,42 @@ describe('Meta Models Tests', () => {
     });
 
     test('should match Deepseek model variations', () => {
-      expect(matchModelName('deepseek-chat')).toBe('deepseek');
+      expect(matchModelName('deepseek-chat')).toBe('deepseek-chat');
       expect(matchModelName('deepseek-coder')).toBe('deepseek');
     });
   });
 
+  describe('DeepSeek Max Output Tokens', () => {
+    const { getModelMaxOutputTokens } = require('@librechat/api');
+
+    test('should return correct max output tokens for deepseek-chat', () => {
+      expect(getModelMaxOutputTokens('deepseek-chat')).toBe(8000);
+      expect(getModelMaxOutputTokens('deepseek-chat', EModelEndpoint.openAI)).toBe(8000);
+      expect(getModelMaxOutputTokens('deepseek-chat', EModelEndpoint.custom)).toBe(8000);
+    });
+
+    test('should return correct max output tokens for deepseek-reasoner', () => {
+      expect(getModelMaxOutputTokens('deepseek-reasoner')).toBe(64000);
+      expect(getModelMaxOutputTokens('deepseek-reasoner', EModelEndpoint.openAI)).toBe(64000);
+      expect(getModelMaxOutputTokens('deepseek-reasoner', EModelEndpoint.custom)).toBe(64000);
+    });
+
+    test('should return correct max output tokens for deepseek-r1', () => {
+      expect(getModelMaxOutputTokens('deepseek-r1')).toBe(64000);
+      expect(getModelMaxOutputTokens('deepseek-r1', EModelEndpoint.openAI)).toBe(64000);
+    });
+
+    test('should return correct max output tokens for deepseek base pattern', () => {
+      expect(getModelMaxOutputTokens('deepseek')).toBe(8000);
+      expect(getModelMaxOutputTokens('deepseek-v3')).toBe(8000);
+    });
+
+    test('should handle DeepSeek models with provider prefixes for max output tokens', () => {
+      expect(getModelMaxOutputTokens('deepseek/deepseek-chat')).toBe(8000);
+      expect(getModelMaxOutputTokens('openrouter/deepseek-reasoner')).toBe(64000);
+    });
+  });
+
   describe('processModelData with Meta models', () => {
     test('should process Meta model data correctly', () => {
       const input = {