packages/api/src/agents/__tests__/memory.test.ts

import { Response } from 'express';
import { Providers } from '@librechat/agents';
import { Tools } from 'librechat-data-provider';
import type { MemoryArtifact } from 'librechat-data-provider';
import { createMemoryTool, processMemory } from '../memory';

// Mock the logger
jest.mock('winston', () => ({
  createLogger: jest.fn(() => ({
    debug: jest.fn(),
    warn: jest.fn(),
    error: jest.fn(),
  })),
  format: {
    combine: jest.fn(),
    colorize: jest.fn(),
    simple: jest.fn(),
  },
  transports: {
    Console: jest.fn(),
  },
}));

// Mock the Tokenizer
jest.mock('~/utils', () => ({
  Tokenizer: {
    getTokenCount: jest.fn((text: string) => text.length), // Simple mock: 1 char = 1 token
  },
}));

// Mock the Run module
jest.mock('@librechat/agents', () => ({
  ...jest.requireActual('@librechat/agents'),
  Run: {
    create: jest.fn(),
  },
  Providers: {
    OPENAI: 'openai',
    ANTHROPIC: 'anthropic',
    AZURE: 'azure',
  },
  GraphEvents: {
    TOOL_END: 'tool_end',
  },
}));

describe('createMemoryTool', () => {
  let mockSetMemory: jest.Mock;

  beforeEach(() => {
    jest.clearAllMocks();
    mockSetMemory = jest.fn().mockResolvedValue({ ok: true });
  });

  // Memory overflow tests
  describe('overflow handling', () => {
    it('should return error artifact when memory is already overflowing', async () => {
      const tool = createMemoryTool({
        userId: 'test-user',
        setMemory: mockSetMemory,
        tokenLimit: 100,
        totalTokens: 150, // Already over limit
      });

      // Call the underlying function directly since invoke() doesn't handle responseFormat in tests
      const result = await tool.func({ key: 'test', value: 'new memory' });
      expect(result).toHaveLength(2);
      expect(result[0]).toBe('Memory storage exceeded. Cannot save new memories.');

      const artifacts = result[1] as Record<Tools.memory, MemoryArtifact>;
      expect(artifacts[Tools.memory]).toBeDefined();
      expect(artifacts[Tools.memory].type).toBe('error');
      expect(artifacts[Tools.memory].key).toBe('system');

      const errorData = JSON.parse(artifacts[Tools.memory].value as string);
      expect(errorData).toEqual({
        errorType: 'already_exceeded',
        tokenCount: 50,
        totalTokens: 150,
        tokenLimit: 100,
      });

      expect(mockSetMemory).not.toHaveBeenCalled();
    });

    it('should return error artifact when new memory would exceed limit', async () => {
      const tool = createMemoryTool({
        userId: 'test-user',
        setMemory: mockSetMemory,
        tokenLimit: 100,
        totalTokens: 80,
      });

      // This would put us at 101 tokens total, exceeding the limit
      const result = await tool.func({ key: 'test', value: 'This is a 20 char str' });
      expect(result).toHaveLength(2);
      expect(result[0]).toBe('Memory storage would exceed limit. Cannot save this memory.');

      const artifacts = result[1] as Record<Tools.memory, MemoryArtifact>;
      expect(artifacts[Tools.memory]).toBeDefined();
      expect(artifacts[Tools.memory].type).toBe('error');
      expect(artifacts[Tools.memory].key).toBe('system');

      const errorData = JSON.parse(artifacts[Tools.memory].value as string);
      expect(errorData).toEqual({
        errorType: 'would_exceed',
        tokenCount: 1, // Math.abs(-1)
        totalTokens: 101,
        tokenLimit: 100,
      });

      expect(mockSetMemory).not.toHaveBeenCalled();
    });

    it('should successfully save memory when below limit', async () => {
      const tool = createMemoryTool({
        userId: 'test-user',
        setMemory: mockSetMemory,
        tokenLimit: 100,
        totalTokens: 50,
      });

      const result = await tool.func({ key: 'test', value: 'small memory' });
      expect(result).toHaveLength(2);
      expect(result[0]).toBe('Memory set for key "test" (12 tokens)');

      const artifacts = result[1] as Record<Tools.memory, MemoryArtifact>;
      expect(artifacts[Tools.memory]).toBeDefined();
      expect(artifacts[Tools.memory].type).toBe('update');
      expect(artifacts[Tools.memory].key).toBe('test');
      expect(artifacts[Tools.memory].value).toBe('small memory');

      expect(mockSetMemory).toHaveBeenCalledWith({
        userId: 'test-user',
        key: 'test',
        value: 'small memory',
        tokenCount: 12,
      });
    });
  });

  // Basic functionality tests
  describe('basic functionality', () => {
    it('should validate keys when validKeys is provided', async () => {
      const tool = createMemoryTool({
        userId: 'test-user',
        setMemory: mockSetMemory,
        validKeys: ['allowed', 'keys'],
      });

      const result = await tool.func({ key: 'invalid', value: 'some value' });
      expect(result).toHaveLength(2);
      expect(result[0]).toBe('Invalid key "invalid". Must be one of: allowed, keys');
      expect(result[1]).toBeUndefined();
      expect(mockSetMemory).not.toHaveBeenCalled();
    });

    it('should handle setMemory failure', async () => {
      mockSetMemory.mockResolvedValue({ ok: false });
      const tool = createMemoryTool({
        userId: 'test-user',
        setMemory: mockSetMemory,
      });

      const result = await tool.func({ key: 'test', value: 'some value' });
      expect(result).toHaveLength(2);
      expect(result[0]).toBe('Failed to set memory for key "test"');
      expect(result[1]).toBeUndefined();
    });

    it('should handle exceptions', async () => {
      mockSetMemory.mockRejectedValue(new Error('DB error'));
      const tool = createMemoryTool({
        userId: 'test-user',
        setMemory: mockSetMemory,
      });

      const result = await tool.func({ key: 'test', value: 'some value' });
      expect(result).toHaveLength(2);
      expect(result[0]).toBe('Error setting memory for key "test"');
      expect(result[1]).toBeUndefined();
    });
  });
});

describe('processMemory - GPT-5+ handling', () => {
  let mockSetMemory: jest.Mock;
  let mockDeleteMemory: jest.Mock;
  let mockRes: Partial<Response>;

  beforeEach(() => {
    jest.clearAllMocks();
    mockSetMemory = jest.fn().mockResolvedValue({ ok: true });
    mockDeleteMemory = jest.fn().mockResolvedValue({ ok: true });
    mockRes = {
      headersSent: false,
      write: jest.fn(),
    };

    // Setup the Run.create mock
    const { Run } = jest.requireMock('@librechat/agents');
    (Run.create as jest.Mock).mockResolvedValue({
      processStream: jest.fn().mockResolvedValue('Memory processed'),
    });
  });

  it('should remove temperature for GPT-5 models', async () => {
    await processMemory({
      res: mockRes as Response,
      userId: 'test-user',
      setMemory: mockSetMemory,
      deleteMemory: mockDeleteMemory,
      messages: [],
      memory: 'Test memory',
      messageId: 'msg-123',
      conversationId: 'conv-123',
      instructions: 'Test instructions',
      llmConfig: {
        provider: Providers.OPENAI,
        model: 'gpt-5',
        temperature: 0.7, // This should be removed
        maxTokens: 1000, // This should be moved to modelKwargs
      },
    });

    const { Run } = jest.requireMock('@librechat/agents');
    expect(Run.create).toHaveBeenCalledWith(
      expect.objectContaining({
        graphConfig: expect.objectContaining({
          llmConfig: expect.objectContaining({
            model: 'gpt-5',
            modelKwargs: {
              max_completion_tokens: 1000,
            },
          }),
        }),
      }),
    );

    // Verify temperature was removed
    const callArgs = (Run.create as jest.Mock).mock.calls[0][0];
    expect(callArgs.graphConfig.llmConfig.temperature).toBeUndefined();
    expect(callArgs.graphConfig.llmConfig.maxTokens).toBeUndefined();
  });

  it('should handle GPT-5+ models with existing modelKwargs', async () => {
    await processMemory({
      res: mockRes as Response,
      userId: 'test-user',
      setMemory: mockSetMemory,
      deleteMemory: mockDeleteMemory,
      messages: [],
      memory: 'Test memory',
      messageId: 'msg-123',
      conversationId: 'conv-123',
      instructions: 'Test instructions',
      llmConfig: {
        provider: Providers.OPENAI,
        model: 'gpt-6',
        temperature: 0.8,
        maxTokens: 2000,
        modelKwargs: {
          customParam: 'value',
        },
      },
    });

    const { Run } = jest.requireMock('@librechat/agents');
    expect(Run.create).toHaveBeenCalledWith(
      expect.objectContaining({
        graphConfig: expect.objectContaining({
          llmConfig: expect.objectContaining({
            model: 'gpt-6',
            modelKwargs: {
              customParam: 'value',
              max_completion_tokens: 2000,
            },
          }),
        }),
      }),
    );

    const callArgs = (Run.create as jest.Mock).mock.calls[0][0];
    expect(callArgs.graphConfig.llmConfig.temperature).toBeUndefined();
    expect(callArgs.graphConfig.llmConfig.maxTokens).toBeUndefined();
  });

  it('should not modify non-GPT-5+ models', async () => {
    await processMemory({
      res: mockRes as Response,
      userId: 'test-user',
      setMemory: mockSetMemory,
      deleteMemory: mockDeleteMemory,
      messages: [],
      memory: 'Test memory',
      messageId: 'msg-123',
      conversationId: 'conv-123',
      instructions: 'Test instructions',
      llmConfig: {
        provider: Providers.OPENAI,
        model: 'gpt-4',
        temperature: 0.7,
        maxTokens: 1000,
      },
    });

    const { Run } = jest.requireMock('@librechat/agents');
    expect(Run.create).toHaveBeenCalledWith(
      expect.objectContaining({
        graphConfig: expect.objectContaining({
          llmConfig: expect.objectContaining({
            model: 'gpt-4',
            temperature: 0.7,
            maxTokens: 1000,
          }),
        }),
      }),
    );

    // Verify nothing was moved to modelKwargs for GPT-4
    const callArgs = (Run.create as jest.Mock).mock.calls[0][0];
    expect(callArgs.graphConfig.llmConfig.modelKwargs).toBeUndefined();
  });

  it('should handle various GPT-5+ model formats', async () => {
    const testCases = [
      { model: 'gpt-5', shouldTransform: true },
      { model: 'gpt-5-turbo', shouldTransform: true },
      { model: 'gpt-7-preview', shouldTransform: true },
      { model: 'gpt-9', shouldTransform: true },
      { model: 'gpt-4o', shouldTransform: false },
      { model: 'gpt-3.5-turbo', shouldTransform: false },
    ];

    for (const { model, shouldTransform } of testCases) {
      jest.clearAllMocks();
      const { Run } = jest.requireMock('@librechat/agents');
      (Run.create as jest.Mock).mockResolvedValue({
        processStream: jest.fn().mockResolvedValue('Memory processed'),
      });

      await processMemory({
        res: mockRes as Response,
        userId: 'test-user',
        setMemory: mockSetMemory,
        deleteMemory: mockDeleteMemory,
        messages: [],
        memory: 'Test memory',
        messageId: 'msg-123',
        conversationId: 'conv-123',
        instructions: 'Test instructions',
        llmConfig: {
          provider: Providers.OPENAI,
          model,
          temperature: 0.5,
          maxTokens: 1500,
        },
      });

      const callArgs = (Run.create as jest.Mock).mock.calls[0][0];
      const llmConfig = callArgs.graphConfig.llmConfig;

      if (shouldTransform) {
        expect(llmConfig.temperature).toBeUndefined();
        expect(llmConfig.maxTokens).toBeUndefined();
        expect(llmConfig.modelKwargs?.max_completion_tokens).toBe(1500);
      } else {
        expect(llmConfig.temperature).toBe(0.5);
        expect(llmConfig.maxTokens).toBe(1500);
        expect(llmConfig.modelKwargs).toBeUndefined();
      }
    }
  });

  it('should use default model (gpt-4.1-mini) without temperature removal when no llmConfig provided', async () => {
    await processMemory({
      res: mockRes as Response,
      userId: 'test-user',
      setMemory: mockSetMemory,
      deleteMemory: mockDeleteMemory,
      messages: [],
      memory: 'Test memory',
      messageId: 'msg-123',
      conversationId: 'conv-123',
      instructions: 'Test instructions',
      // No llmConfig provided
    });

    const { Run } = jest.requireMock('@librechat/agents');
    expect(Run.create).toHaveBeenCalledWith(
      expect.objectContaining({
        graphConfig: expect.objectContaining({
          llmConfig: expect.objectContaining({
            model: 'gpt-4.1-mini',
            temperature: 0.4, // Default temperature should remain
          }),
        }),
      }),
    );
  });

  it('should use max_output_tokens when useResponsesApi is true', async () => {
    await processMemory({
      res: mockRes as Response,
      userId: 'test-user',
      setMemory: mockSetMemory,
      deleteMemory: mockDeleteMemory,
      messages: [],
      memory: 'Test memory',
      messageId: 'msg-123',
      conversationId: 'conv-123',
      instructions: 'Test instructions',
      llmConfig: {
        provider: Providers.OPENAI,
        model: 'gpt-5',
        maxTokens: 1000,
        useResponsesApi: true,
      },
    });

    const { Run } = jest.requireMock('@librechat/agents');
    expect(Run.create).toHaveBeenCalledWith(
      expect.objectContaining({
        graphConfig: expect.objectContaining({
          llmConfig: expect.objectContaining({
            model: 'gpt-5',
            modelKwargs: {
              max_output_tokens: 1000,
            },
          }),
        }),
      }),
    );
  });

  it('should use max_completion_tokens when useResponsesApi is false or undefined', async () => {
    await processMemory({
      res: mockRes as Response,
      userId: 'test-user',
      setMemory: mockSetMemory,
      deleteMemory: mockDeleteMemory,
      messages: [],
      memory: 'Test memory',
      messageId: 'msg-123',
      conversationId: 'conv-123',
      instructions: 'Test instructions',
      llmConfig: {
        provider: Providers.OPENAI,
        model: 'gpt-5',
        maxTokens: 1000,
        useResponsesApi: false,
      },
    });

    const { Run } = jest.requireMock('@librechat/agents');
    expect(Run.create).toHaveBeenCalledWith(
      expect.objectContaining({
        graphConfig: expect.objectContaining({
          llmConfig: expect.objectContaining({
            model: 'gpt-5',
            modelKwargs: {
              max_completion_tokens: 1000,
            },
          }),
        }),
      }),
    );
  });
});