feat: Add DeepSeek thinking mode support for OpenAI compatibility layer

src/services/api/openai/__tests__/convertMessages.test.ts

@@ -249,3 +249,209 @@ describe('anthropicMessagesToOpenAI', () => {
     )
   })
 })
+
+describe('DeepSeek thinking mode (enableThinking)', () => {
+  test('preserves thinking block as reasoning_content when enabled', () => {
+    const result = anthropicMessagesToOpenAI(
+      [makeUserMsg('question'), makeAssistantMsg([
+        { type: 'thinking' as const, thinking: 'Let me reason about this...' },
+        { type: 'text', text: 'The answer is 42.' },
+      ])],
+      [] as any,
+      { enableThinking: true },
+    )
+    // Should have: user, assistant with reasoning_content
+    expect(result).toHaveLength(2)
+    expect(result[0].role).toBe('user')
+    const assistant = result[1] as any
+    expect(assistant.role).toBe('assistant')
+    expect(assistant.content).toBe('The answer is 42.')
+    expect(assistant.reasoning_content).toBe('Let me reason about this...')
+  })
+
+  test('drops thinking block when enableThinking is false (default)', () => {
+    const result = anthropicMessagesToOpenAI(
+      [makeAssistantMsg([
+        { type: 'thinking' as const, thinking: 'internal thoughts...' },
+        { type: 'text', text: 'visible response' },
+      ])],
+      [] as any,
+    )
+    const assistant = result[0] as any
+    expect(assistant.content).toBe('visible response')
+    expect(assistant.reasoning_content).toBeUndefined()
+  })
+
+  test('preserves reasoning_content with tool_calls in same turn', () => {
+    const result = anthropicMessagesToOpenAI(
+      [
+        makeUserMsg('what is the weather?'),
+        makeAssistantMsg([
+          { type: 'thinking' as const, thinking: 'I need to call the weather tool.' },
+          { type: 'text', text: '' },
+          {
+            type: 'tool_use' as const,
+            id: 'toolu_001',
+            name: 'get_weather',
+            input: { location: 'Hangzhou' },
+          },
+        ]),
+        makeUserMsg([
+          {
+            type: 'tool_result' as const,
+            tool_use_id: 'toolu_001',
+            content: 'Cloudy 7~13°C',
+          },
+        ]),
+      ],
+      [] as any,
+      { enableThinking: true },
+    )
+
+    // Find the assistant message
+    const assistants = result.filter(m => m.role === 'assistant')
+    expect(assistants.length).toBe(1)
+    const assistant = assistants[0] as any
+    expect(assistant.reasoning_content).toBe('I need to call the weather tool.')
+    expect(assistant.tool_calls).toBeDefined()
+    expect(assistant.tool_calls[0].function.name).toBe('get_weather')
+  })
+
+  test('strips reasoning_content from previous turns', () => {
+    const result = anthropicMessagesToOpenAI(
+      [
+        // Turn 1: user → assistant (with thinking)
+        makeUserMsg('question 1'),
+        makeAssistantMsg([
+          { type: 'thinking' as const, thinking: 'Turn 1 reasoning...' },
+          { type: 'text', text: 'Turn 1 answer' },
+        ]),
+        // Turn 2: new user message → previous reasoning should be stripped
+        makeUserMsg('question 2'),
+        makeAssistantMsg([
+          { type: 'thinking' as const, thinking: 'Turn 2 reasoning...' },
+          { type: 'text', text: 'Turn 2 answer' },
+        ]),
+      ],
+      [] as any,
+      { enableThinking: true },
+    )
+
+    const assistants = result.filter(m => m.role === 'assistant')
+    // Turn 1 assistant: reasoning should be stripped (previous turn)
+    expect((assistants[0] as any).reasoning_content).toBeUndefined()
+    expect((assistants[0] as any).content).toBe('Turn 1 answer')
+    // Turn 2 assistant: reasoning should be preserved (current turn)
+    expect((assistants[1] as any).reasoning_content).toBe('Turn 2 reasoning...')
+    expect((assistants[1] as any).content).toBe('Turn 2 answer')
+  })
+
+  test('preserves reasoning_content in multi-iteration tool call within same turn', () => {
+    // Simulates a full DeepSeek tool call iteration:
+    // user → assistant(thinking+tool_call) → tool_result → assistant(thinking+tool_call) → tool_result → assistant(thinking+text)
+    const result = anthropicMessagesToOpenAI(
+      [
+        makeUserMsg("tomorrow's weather in Hangzhou"),
+        // Iteration 1: thinking + tool call
+        makeAssistantMsg([
+          { type: 'thinking' as const, thinking: 'I need the date first.' },
+          {
+            type: 'tool_use' as const,
+            id: 'toolu_001',
+            name: 'get_date',
+            input: {},
+          },
+        ]),
+        makeUserMsg([
+          {
+            type: 'tool_result' as const,
+            tool_use_id: 'toolu_001',
+            content: '2026-04-08',
+          },
+        ]),
+        // Iteration 2: thinking + tool call
+        makeAssistantMsg([
+          { type: 'thinking' as const, thinking: 'Now I can get the weather.' },
+          {
+            type: 'tool_use' as const,
+            id: 'toolu_002',
+            name: 'get_weather',
+            input: { location: 'Hangzhou', date: '2026-04-08' },
+          },
+        ]),
+        makeUserMsg([
+          {
+            type: 'tool_result' as const,
+            tool_use_id: 'toolu_002',
+            content: 'Cloudy 7~13°C',
+          },
+        ]),
+        // Iteration 3: thinking + final answer
+        makeAssistantMsg([
+          { type: 'thinking' as const, thinking: 'I have the info now.' },
+          { type: 'text', text: 'Tomorrow will be cloudy, 7-13°C.' },
+        ]),
+      ],
+      [] as any,
+      { enableThinking: true },
+    )
+
+    // All 3 assistant messages are in the current turn (after last user msg is the last tool_result,
+    // but the "last user message" boundary logic finds the last user-typed message).
+    // Actually, tool_result messages are also UserMessage type, so the last user message
+    // is the one with tool_result for toolu_002. All assistant messages after that should have reasoning.
+    const assistants = result.filter(m => m.role === 'assistant')
+    expect(assistants.length).toBe(3)
+    // All iterations within the same turn preserve reasoning
+    expect((assistants[0] as any).reasoning_content).toBe('I need the date first.')
+    expect((assistants[1] as any).reasoning_content).toBe('Now I can get the weather.')
+    expect((assistants[2] as any).reasoning_content).toBe('I have the info now.')
+  })
+
+  test('handles multiple thinking blocks in single assistant message', () => {
+    const result = anthropicMessagesToOpenAI(
+      [makeUserMsg('question'), makeAssistantMsg([
+        { type: 'thinking' as const, thinking: 'First thought.' },
+        { type: 'thinking' as const, thinking: 'Second thought.' },
+        { type: 'text', text: 'Final answer.' },
+      ])],
+      [] as any,
+      { enableThinking: true },
+    )
+    const assistant = result.filter(m => m.role === 'assistant')[0] as any
+    expect(assistant.reasoning_content).toBe('First thought.\nSecond thought.')
+  })
+
+  test('skips empty thinking blocks', () => {
+    const result = anthropicMessagesToOpenAI(
+      [makeUserMsg('question'), makeAssistantMsg([
+        { type: 'thinking' as const, thinking: '' },
+        { type: 'text', text: 'Answer.' },
+      ])],
+      [] as any,
+      { enableThinking: true },
+    )
+    const assistant = result.filter(m => m.role === 'assistant')[0] as any
+    expect(assistant.reasoning_content).toBeUndefined()
+  })
+
+  test('sets content to null when only thinking and tool_calls present', () => {
+    const result = anthropicMessagesToOpenAI(
+      [makeUserMsg('question'), makeAssistantMsg([
+        { type: 'thinking' as const, thinking: 'Reasoning only.' },
+        {
+          type: 'tool_use' as const,
+          id: 'toolu_001',
+          name: 'bash',
+          input: { command: 'ls' },
+        },
+      ])],
+      [] as any,
+      { enableThinking: true },
+    )
+    const assistant = result.filter(m => m.role === 'assistant')[0] as any
+    expect(assistant.content).toBeNull()
+    expect(assistant.reasoning_content).toBe('Reasoning only.')
+    expect(assistant.tool_calls).toHaveLength(1)
+  })
+})