🤖 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/models/tx.js

@@ -141,6 +141,7 @@ const tokenValues = Object.assign(
     'command-r': { prompt: 0.5, completion: 1.5 },
     'command-r-plus': { prompt: 3, completion: 15 },
     'command-text': { prompt: 1.5, completion: 2.0 },
+    'deepseek-chat': { prompt: 0.28, completion: 0.42 },
     'deepseek-reasoner': { prompt: 0.28, completion: 0.42 },
     'deepseek-r1': { prompt: 0.4, completion: 2.0 },
     'deepseek-v3': { prompt: 0.2, completion: 0.8 },
@@ -246,6 +247,10 @@ const cacheTokenValues = {
   'claude-sonnet-4': { write: 3.75, read: 0.3 },
   'claude-opus-4': { write: 18.75, read: 1.5 },
   'claude-opus-4-5': { write: 6.25, read: 0.5 },
+  // DeepSeek models - cache hit: $0.028/1M, cache miss: $0.28/1M
+  deepseek: { write: 0.28, read: 0.028 },
+  'deepseek-chat': { write: 0.28, read: 0.028 },
+  'deepseek-reasoner': { write: 0.28, read: 0.028 },
 };
 
 /**

api/models/tx.spec.js

@@ -766,6 +766,78 @@ describe('Deepseek Model Tests', () => {
     const result = tokenValues[valueKey].prompt && multiplier === tokenValues[valueKey].prompt;
     expect(result).toBe(true);
   });
+
+  it('should return correct pricing for deepseek-chat', () => {
+    expect(getMultiplier({ model: 'deepseek-chat', tokenType: 'prompt' })).toBe(
+      tokenValues['deepseek-chat'].prompt,
+    );
+    expect(getMultiplier({ model: 'deepseek-chat', tokenType: 'completion' })).toBe(
+      tokenValues['deepseek-chat'].completion,
+    );
+    expect(tokenValues['deepseek-chat'].prompt).toBe(0.28);
+    expect(tokenValues['deepseek-chat'].completion).toBe(0.42);
+  });
+
+  it('should return correct pricing for deepseek-reasoner', () => {
+    expect(getMultiplier({ model: 'deepseek-reasoner', tokenType: 'prompt' })).toBe(
+      tokenValues['deepseek-reasoner'].prompt,
+    );
+    expect(getMultiplier({ model: 'deepseek-reasoner', tokenType: 'completion' })).toBe(
+      tokenValues['deepseek-reasoner'].completion,
+    );
+    expect(tokenValues['deepseek-reasoner'].prompt).toBe(0.28);
+    expect(tokenValues['deepseek-reasoner'].completion).toBe(0.42);
+  });
+
+  it('should handle DeepSeek model name variations with provider prefixes', () => {
+    const modelVariations = [
+      'deepseek/deepseek-chat',
+      'openrouter/deepseek-chat',
+      'deepseek/deepseek-reasoner',
+    ];
+
+    modelVariations.forEach((model) => {
+      const promptMultiplier = getMultiplier({ model, tokenType: 'prompt' });
+      const completionMultiplier = getMultiplier({ model, tokenType: 'completion' });
+      expect(promptMultiplier).toBe(0.28);
+      expect(completionMultiplier).toBe(0.42);
+    });
+  });
+
+  it('should return correct cache multipliers for DeepSeek models', () => {
+    expect(getCacheMultiplier({ model: 'deepseek-chat', cacheType: 'write' })).toBe(
+      cacheTokenValues['deepseek-chat'].write,
+    );
+    expect(getCacheMultiplier({ model: 'deepseek-chat', cacheType: 'read' })).toBe(
+      cacheTokenValues['deepseek-chat'].read,
+    );
+    expect(getCacheMultiplier({ model: 'deepseek-reasoner', cacheType: 'write' })).toBe(
+      cacheTokenValues['deepseek-reasoner'].write,
+    );
+    expect(getCacheMultiplier({ model: 'deepseek-reasoner', cacheType: 'read' })).toBe(
+      cacheTokenValues['deepseek-reasoner'].read,
+    );
+  });
+
+  it('should return correct cache pricing values for DeepSeek models', () => {
+    expect(cacheTokenValues['deepseek-chat'].write).toBe(0.28);
+    expect(cacheTokenValues['deepseek-chat'].read).toBe(0.028);
+    expect(cacheTokenValues['deepseek-reasoner'].write).toBe(0.28);
+    expect(cacheTokenValues['deepseek-reasoner'].read).toBe(0.028);
+    expect(cacheTokenValues['deepseek'].write).toBe(0.28);
+    expect(cacheTokenValues['deepseek'].read).toBe(0.028);
+  });
+
+  it('should handle DeepSeek cache multipliers with model variations', () => {
+    const modelVariations = ['deepseek/deepseek-chat', 'openrouter/deepseek-reasoner'];
+
+    modelVariations.forEach((model) => {
+      const writeMultiplier = getCacheMultiplier({ model, cacheType: 'write' });
+      const readMultiplier = getCacheMultiplier({ model, cacheType: 'read' });
+      expect(writeMultiplier).toBe(0.28);
+      expect(readMultiplier).toBe(0.028);
+    });
+  });
 });
 
 describe('Qwen3 Model Tests', () => {

api/package.json

@@ -47,7 +47,7 @@
     "@langchain/google-genai": "^0.2.13",
     "@langchain/google-vertexai": "^0.2.13",
     "@langchain/textsplitters": "^0.1.0",
-    "@librechat/agents": "^3.0.34",
+    "@librechat/agents": "^3.0.35",
     "@librechat/api": "*",
     "@librechat/data-schemas": "*",
     "@microsoft/microsoft-graph-client": "^3.0.7",

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 = {

package-lock.json

@@ -61,7 +61,7 @@
         "@langchain/google-genai": "^0.2.13",
         "@langchain/google-vertexai": "^0.2.13",
         "@langchain/textsplitters": "^0.1.0",
-        "@librechat/agents": "^3.0.34",
+        "@librechat/agents": "^3.0.35",
         "@librechat/api": "*",
         "@librechat/data-schemas": "*",
         "@microsoft/microsoft-graph-client": "^3.0.7",
@@ -16289,9 +16289,9 @@
       }
     },
     "node_modules/@librechat/agents": {
-      "version": "3.0.34",
+      "version": "3.0.35",
-      "resolved": "https://registry.npmjs.org/@librechat/agents/-/agents-3.0.34.tgz",
+      "resolved": "https://registry.npmjs.org/@librechat/agents/-/agents-3.0.35.tgz",
-      "integrity": "sha512-sngGZewCp/p8nMhUVJdXNZw74MpehJ1SMvWPxR9euLdOQX2qgR23/c2/5VxpdsR4gXmOSxpdhsc5cin2y6R/mA==",
+      "integrity": "sha512-9KcTin8CtJIsADkcZtyCHwfn9GQ7AIRWTAhNDFtxXsuqmlnytD8bjh0GiRc6uOOQ/Dw8zL/oRcqNDubempwBfg==",
       "license": "MIT",
       "dependencies": {
         "@langchain/anthropic": "^0.3.26",
@@ -46275,7 +46275,7 @@
         "@azure/storage-blob": "^12.27.0",
         "@keyv/redis": "^4.3.3",
         "@langchain/core": "^0.3.79",
-        "@librechat/agents": "^3.0.34",
+        "@librechat/agents": "^3.0.35",
         "@librechat/data-schemas": "*",
         "@modelcontextprotocol/sdk": "^1.21.0",
         "axios": "^1.12.1",

packages/api/package.json

@@ -84,7 +84,7 @@
     "@azure/storage-blob": "^12.27.0",
     "@keyv/redis": "^4.3.3",
     "@langchain/core": "^0.3.79",
-    "@librechat/agents": "^3.0.34",
+    "@librechat/agents": "^3.0.35",
     "@librechat/data-schemas": "*",
     "@modelcontextprotocol/sdk": "^1.21.0",
     "axios": "^1.12.1",

packages/api/src/utils/tokens.ts

@@ -140,6 +140,7 @@ const anthropicModels = {
 
 const deepseekModels = {
   deepseek: 128000,
+  'deepseek-chat': 128000,
   'deepseek-reasoner': 128000,
   'deepseek-r1': 128000,
   'deepseek-v3': 128000,
@@ -347,11 +348,21 @@ const anthropicMaxOutputs = {
   'claude-3-7-sonnet': 128000,
 };
 
+/** Outputs from https://api-docs.deepseek.com/quick_start/pricing */
+const deepseekMaxOutputs = {
+  deepseek: 8000, // deepseek-chat default: 4K, max: 8K
+  'deepseek-chat': 8000,
+  'deepseek-reasoner': 64000, // default: 32K, max: 64K
+  'deepseek-r1': 64000,
+  'deepseek-v3': 8000,
+  'deepseek.r1': 64000,
+};
+
 export const maxOutputTokensMap = {
   [EModelEndpoint.anthropic]: anthropicMaxOutputs,
   [EModelEndpoint.azureOpenAI]: modelMaxOutputs,
-  [EModelEndpoint.openAI]: modelMaxOutputs,
+  [EModelEndpoint.openAI]: { ...modelMaxOutputs, ...deepseekMaxOutputs },
-  [EModelEndpoint.custom]: modelMaxOutputs,
+  [EModelEndpoint.custom]: { ...modelMaxOutputs, ...deepseekMaxOutputs },
 };
 
 /**