Repository: KB01111/KBVerse
Pull request #10: Add LiteLLM URL tests
Author: login: KB01111
Labels: name: codex
Created: 2025-05-23T23:55:34Z | Merged: 2025-05-23T23:58:20Z

## Summary
- extend AssistantOllamaClient tests
- add BaseLlmExecutor and ImageTextLlmExecutor tests
- test ExecutionEngine LiteLLM plan
- add vitest setup file

## Testing
- `npm test`
- `npx eslint src/nodeExecutors/BaseLlmExecutor.test.ts src/nodeExecutors/ImageTextLlmExecutor.test.ts src/ExecutionEngine.test.ts src/utils/AssistantOllamaClient.test.ts`

## Summary by Sourcery

Add comprehensive tests to validate LiteLLM URL handling across clients and executors

Tests:
- Extend AssistantOllamaClient tests to cover OpenAI and LiteLLM flows, streaming behavior, and connection checks
- Add BaseLlmExecutor test to verify LiteLLM base URL usage
- Add ImageTextLlmExecutor test to verify LiteLLM base URL usage
- Scaffold ExecutionEngine test file
- Add Vitest setup file for test initialization

---
## EntelligenceAI PR Summary 
 This PR adds and improves tests for LiteLLM API configuration and executor logic.
- Introduced new unit tests for execution plan and LLM executors (BaseLlmExecutor, ImageTextLlmExecutor) with LiteLLM
- Standardized test environment with a new setup file for DOM assertions
- Enhanced type safety and added a new test in AssistantOllamaClient.test.ts 




Diff:
diff --git a/src/ExecutionEngine.test.ts b/src/ExecutionEngine.test.ts
new file mode 100644
index 00000000..1b4fc8cc
--- /dev/null
+++ b/src/ExecutionEngine.test.ts
@@ -0,0 +1,23 @@
+import { describe, it, expect, vi } from 'vitest';
+import { generateExecutionPlan } from './ExecutionEngine';
+import type { Node, Edge } from 'reactflow';
+
+vi.mock('./db', () => ({
+  db: { getAPIConfig: vi.fn().mockResolvedValue(null) }
+}));
+
+describe('generateExecutionPlan', () => {
+  it('uses LiteLLM URL when node config specifies litellm', async () => {
+    const nodes: Node[] = [
+      {
+        id: '1',
+        type: 'baseLlmNode',
+        data: { config: { apiType: 'litellm', litellmUrl: 'http://lite.url', apiKey: 'key' } },
+        position: { x: 0, y: 0 }
+      } as unknown as Node
+    ];
+    const plan = await generateExecutionPlan(nodes, [] as Edge[]);
+    expect(plan.config.type).toBe('litellm');
+    expect(plan.config.baseUrl).toBe('http://lite.url');
+  });
+});
diff --git a/src/nodeExecutors/BaseLlmExecutor.test.ts b/src/nodeExecutors/BaseLlmExecutor.test.ts
new file mode 100644
index 00000000..0ac69155
--- /dev/null
+++ b/src/nodeExecutors/BaseLlmExecutor.test.ts
@@ -0,0 +1,43 @@
+import { describe, it, expect, beforeEach, vi } from 'vitest';
+import { getNodeExecutor } from './NodeExecutorRegistry';
+
+vi.mock('../utils/OllamaClient', () => {
+  return {
+    OllamaClient: vi.fn().mockImplementation((baseUrl: string) => {
+      return {
+        baseUrl,
+        getConfig: () => ({ baseUrl, type: 'openai', apiKey: '' }),
+        sendChat: vi.fn().mockResolvedValue({ message: { content: 'ok' } })
+      };
+    })
+  };
+});
+
+import './BaseLlmExecutor';
+import { OllamaClient as MockOllamaClient } from '../utils/OllamaClient';
+
+const executor = getNodeExecutor('baseLlmNode');
+if (!executor) throw new Error('BaseLlmNode executor not found');
+
+describe('BaseLlmExecutor with LiteLLM', () => {
+  beforeEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it('uses LiteLLM base URL when api type is litellm', async () => {
+    const node = { id: '1', data: { config: { model: 'm' } } } as unknown as import('reactflow').Node;
+    const context = {
+      node,
+      inputs: { text: 'hello' },
+      ollamaClient: null,
+      apiConfig: { type: 'litellm', baseUrl: 'https://lite.server', apiKey: 'k' }
+    } as import('./NodeExecutorRegistry').NodeExecutionContext;
+
+    const result = await executor.execute(context);
+    expect(result).toBe('ok');
+    expect(MockOllamaClient).toHaveBeenCalledWith(
+      'https://lite.server',
+      expect.objectContaining({ apiKey: 'k', type: 'openai' })
+    );
+  });
+});
diff --git a/src/nodeExecutors/ImageTextLlmExecutor.test.ts b/src/nodeExecutors/ImageTextLlmExecutor.test.ts
new file mode 100644
index 00000000..ebed1bba
--- /dev/null
+++ b/src/nodeExecutors/ImageTextLlmExecutor.test.ts
@@ -0,0 +1,42 @@
+import { describe, it, expect, beforeEach, vi } from 'vitest';
+import { getNodeExecutor } from './NodeExecutorRegistry';
+
+vi.mock('../utils/OllamaClient', () => {
+  return {
+    OllamaClient: vi.fn().mockImplementation((baseUrl: string) => {
+      return {
+        baseUrl,
+        getConfig: () => ({ baseUrl, type: 'openai', apiKey: '' }),
+        generateWithImages: vi.fn().mockResolvedValue({ response: 'ok' })
+      };
+    })
+  };
+});
+
+import './ImageTextLlmExecutor';
+import { OllamaClient as MockOllamaClient } from '../utils/OllamaClient';
+
+const executor = getNodeExecutor('imageTextLlmNode')!;
+
+describe('ImageTextLlmExecutor with LiteLLM', () => {
+  beforeEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it('uses LiteLLM base URL when api type is litellm', async () => {
+    const node = { id: '1', data: { config: { model: 'm' } } } as unknown as import('reactflow').Node;
+    const context = {
+      node,
+      inputs: { src: 'data:image/png;base64,abc' },
+      ollamaClient: null,
+      apiConfig: { type: 'litellm', baseUrl: 'https://lite.server', apiKey: 'k' }
+    } as import('./NodeExecutorRegistry').NodeExecutionContext;
+
+    const result = await executor.execute(context);
+    expect(result).toBe('ok');
+    expect(MockOllamaClient).toHaveBeenCalledWith(
+      'https://lite.server',
+      expect.objectContaining({ apiKey: 'k', type: 'openai' })
+    );
+  });
+});
diff --git a/src/test/setup.ts b/src/test/setup.ts
new file mode 100644
index 00000000..7b0828bf
--- /dev/null
+++ b/src/test/setup.ts
@@ -0,0 +1 @@
+import '@testing-library/jest-dom';
diff --git a/src/utils/AssistantOllamaClient.test.ts b/src/utils/AssistantOllamaClient.test.ts
index e1879a18..9ffd6f03 100644
--- a/src/utils/AssistantOllamaClient.test.ts
+++ b/src/utils/AssistantOllamaClient.test.ts
@@ -1,7 +1,7 @@
 import { vi, describe, it, expect, beforeEach, afterEach } from 'vitest';
 import { AssistantOllamaClient } from './AssistantOllamaClient';
 
-function mockFetch(json: any) {
+function mockFetch(json: unknown) {
   return Promise.resolve({
     ok: true,
     json: () => Promise.resolve(json)
@@ -23,7 +23,7 @@ function createStream(lines: string[]) {
         }
       };
     }
-  } as any;
+  } as ReadableStream<Uint8Array>;
 }
 
 describe('AssistantOllamaClient image generation', () => {
@@ -36,7 +36,7 @@ describe('AssistantOllamaClient image generation', () => {
   });
 
   it('uses OpenAI flow when type is openai', async () => {
-    (fetch as any).mockImplementation(() =>
+  (fetch as unknown as vi.Mock).mockImplementation(() =>
       mockFetch({ choices: [{ message: { content: 'hi' } }], usage: { total_tokens: 5 } })
     );
 
@@ -44,12 +44,12 @@ describe('AssistantOllamaClient image generation', () => {
     const result = await client.generateWithImages('model', 'prompt', ['img']);
 
     expect(fetch).toHaveBeenCalledOnce();
-    expect((fetch as any).mock.calls[0][0]).toBe('https://api.test/chat/completions');
+  expect((fetch as unknown as vi.Mock).mock.calls[0][0]).toBe('https://api.test/chat/completions');
     expect(result).toEqual({ response: 'hi', eval_count: 5 });
   });
 
   it('uses OpenAI flow when type is litellm', async () => {
-    (fetch as any).mockImplementation(() =>
+  (fetch as unknown as vi.Mock).mockImplementation(() =>
       mockFetch({ choices: [{ message: { content: 'hi' } }], usage: { total_tokens: 5 } })
     );
 
@@ -57,43 +57,55 @@ describe('AssistantOllamaClient image generation', () => {
     const result = await client.generateWithImages('model', 'prompt', ['img']);
 
     expect(fetch).toHaveBeenCalledOnce();
-    expect((fetch as any).mock.calls[0][0]).toBe('https://api.test/chat/completions');
+  expect((fetch as unknown as vi.Mock).mock.calls[0][0]).toBe('https://api.test/chat/completions');
     expect(result).toEqual({ response: 'hi', eval_count: 5 });
   });
 
   it('streams responses when type is openai', async () => {
-    (fetch as any).mockResolvedValue({
+    (fetch as unknown as vi.Mock).mockResolvedValue({
       ok: true,
       body: createStream(['data: {"choices":[{"delta":{"content":"hello"}}]}\n'])
     });
 
     const client = new AssistantOllamaClient('https://api.test', { apiKey: 'key', type: 'openai' });
     const gen = client.streamGenerateWithImages('model', 'prompt', ['img']);
-    const chunks: any[] = [];
+    const chunks: Array<{ response: string; eval_count: number }> = [];
     for await (const chunk of gen) {
       chunks.push(chunk);
     }
 
     expect(fetch).toHaveBeenCalledOnce();
-    expect((fetch as any).mock.calls[0][0]).toBe('https://api.test/chat/completions');
+    expect((fetch as unknown as vi.Mock).mock.calls[0][0]).toBe('https://api.test/chat/completions');
     expect(chunks).toEqual([{ response: 'hello', eval_count: 0 }]);
   });
 
   it('streams responses when type is litellm', async () => {
-    (fetch as any).mockResolvedValue({
+    (fetch as unknown as vi.Mock).mockResolvedValue({
       ok: true,
       body: createStream(['data: {"choices":[{"delta":{"content":"hello"}}]}\n'])
     });
 
     const client = new AssistantOllamaClient('https://api.test', { apiKey: 'key', type: 'litellm' });
     const gen = client.streamGenerateWithImages('model', 'prompt', ['img']);
-    const chunks: any[] = [];
+    const chunks: Array<{ response: string; eval_count: number }> = [];
     for await (const chunk of gen) {
       chunks.push(chunk);
     }
 
     expect(fetch).toHaveBeenCalledOnce();
-    expect((fetch as any).mock.calls[0][0]).toBe('https://api.test/chat/completions');
+    expect((fetch as unknown as vi.Mock).mock.calls[0][0]).toBe('https://api.test/chat/completions');
     expect(chunks).toEqual([{ response: 'hello', eval_count: 0 }]);
   });
 });
+
+it('checks connection using base URL', async () => {
+  vi.stubGlobal('fetch', vi.fn().mockResolvedValue({ ok: true }));
+  const client = new AssistantOllamaClient('http://test', { type: 'litellm' });
+  const result = await client.checkConnection();
+  expect(fetch).toHaveBeenCalledWith('http://test/api/tags', {
+    method: 'GET',
+    headers: { 'Content-Type': 'application/json' }
+  });
+  expect(result).toBe(true);
+  vi.restoreAllMocks();
+});


Reviews:
user: login: gemini-code-assist[bot]
body: Hello @KB01111, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

## Summary of Changes
Hello team,

Gemini or gemini-code-assist here with a summary of this pull request. This PR focuses on adding comprehensive test coverage for the LiteLLM integration across various components of the application. Specifically, it introduces tests to ensure that the correct LiteLLM base URL is utilized by the `ExecutionEngine` when generating plans and by the `BaseLlmExecutor` and `ImageTextLlmExecutor` when executing nodes. Additionally, it adds a test to verify the `AssistantOllamaClient`'s connection check functionality specifically for LiteLLM endpoints. A Vitest setup file is also included.

### Highlights
* **Execution Engine Testing**: Adds a test case to `ExecutionEngine.test.ts` to confirm that the `generateExecutionPlan` function correctly uses the `litellmUrl` specified in a node's configuration when the `apiType` is set to 'litellm'.
* **Node Executor Testing (Base LLM)**: Introduces a new test file `BaseLlmExecutor.test.ts` with a test that verifies the `BaseLlmExecutor` uses the LiteLLM base URL provided in the execution context's `apiConfig` when the type is 'litellm'.
* **Node Executor Testing (Image/Text LLM)**: Adds a new test file `ImageTextLlmExecutor.test.ts` containing a test to ensure the `ImageTextLlmExecutor` correctly uses the LiteLLM base URL from the execution context's `apiConfig` when the type is 'litellm'.
* **AssistantOllamaClient Connection Test**: Adds a test to `AssistantOllamaClient.test.ts` specifically for the `checkConnection` method, verifying that it correctly calls the `/api/tags` endpoint on the provided base URL when the client is configured for LiteLLM.
* **Vitest Setup**: Includes a new file `src/test/setup.ts` to configure Vitest, importing `@testing-library/jest-dom`.

### Changelog
<details>
<summary>Click here to see the changelog</summary>

* **src/ExecutionEngine.test.ts**
  * Added new test file for ExecutionEngine.
  * Added test for LiteLLM URL usage in execution plan generation.
* **src/nodeExecutors/BaseLlmExecutor.test.ts**
  * Added new test file for BaseLlmExecutor.
  * Added test for LiteLLM base URL usage when executing base LLM nodes.
* **src/nodeExecutors/ImageTextLlmExecutor.test.ts**
  * Added new test file for ImageTextLlmExecutor.
  * Added test for LiteLLM base URL usage when executing image/text LLM nodes.
* **src/test/setup.ts**
  * Added new file for Vitest test environment setup.
* **src/utils/AssistantOllamaClient.test.ts**
  * Added test for LiteLLM connection check using the base URL and `/api/tags` endpoint.
  * Improved type safety in mock functions and stream handling (changed `any` to `unknown` and `ReadableStream<Uint8Array>`, added explicit type casting for `fetch` mock).

</details>


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---

> Tests for LiteLLM,
> Checking URLs with care,
> Code now stands more strong.


state: COMMENTED
author_association: NONE
submitted_at: 2025-05-23T23:55:55Z
user: login: entelligence-ai-pr-reviews[bot]
state: COMMENTED
author_association: NONE
submitted_at: 2025-05-23T23:57:22Z
user: login: gemini-code-assist[bot]
body: ## Code Review
This pull request significantly improves test coverage, particularly for LiteLLM URL handling across various components. The new tests in `ExecutionEngine.test.ts`, `BaseLlmExecutor.test.ts`, and `ImageTextLlmExecutor.test.ts` are well-structured and effectively validate the intended LiteLLM integration. The addition of a Vitest setup file is also a good practice.

I've identified one area for discussion concerning the `checkConnection` method's behavior with LiteLLM, detailed in a specific comment. Other minor improvements related to type safety were noted but are considered low severity and thus not commented on directly, as per review settings.

### Summary of Findings
* **Connection Check Endpoint for LiteLLM**: The `checkConnection` method, inherited by `AssistantOllamaClient`, uses the Ollama-specific `/api/tags` endpoint for health checks regardless of the API type. This may not be appropriate for LiteLLM instances, which could have a different health endpoint or proxy non-Ollama services. The test for `type: 'litellm'` correctly validates the current behavior but highlights a potential design issue in the `checkConnection` method itself.
* **Type Safety Improvements (Not Commented)**: Several changes in `src/utils/AssistantOllamaClient.test.ts` improve type safety (e.g., replacing `any` with `unknown` or more specific types). These are good practices but were not commented on directly due to their low severity and the review settings.
* **Use of `as unknown as Type` in Tests (Not Commented)**: The new test files utilize `as unknown as Type` for mock object creation (e.g., `as unknown as Node`). This is a common and often pragmatic approach in tests to simplify setup, though it bypasses some type checking. For the current tests, this seems acceptable. This was not commented on due to its low severity.

### Merge Readiness
The pull request adds valuable test coverage for LiteLLM integration. However, there's a medium-severity concern regarding the `checkConnection` method's suitability for LiteLLM that should be discussed and potentially addressed. I recommend addressing this point before merging. As a reviewer, I am not authorized to approve pull requests; please ensure further review and approval from authorized maintainers.
state: CHANGES_REQUESTED
author_association: NONE
submitted_at: 2025-05-23T23:57:24Z
user: login: entelligence-ai-pr-reviews[bot]
state: COMMENTED
author_association: NONE
submitted_at: 2025-05-23T23:57:25Z
user: login: sourcery-ai[bot]
body: Hey @KB01111 - I've reviewed your changes - here's some feedback:

- Add an afterEach or global teardown to restore the original fetch implementation so your stubbed fetch calls don’t leak into other tests.
- Extract the repeated fetch mock setup and URL assertion logic in the AssistantOllamaClient tests into a helper function to reduce boilerplate.
- Add a test for the checkConnection failure path (e.g. when fetch resolves with ok: false) to ensure it correctly returns false on error.

<details>
<summary>Here's what I looked at during the review</summary>

- 🟢 **General issues**: all looks good
- 🟢 **Security**: all looks good
- 🟢 **Testing**: all looks good
- 🟡 **Complexity**: 1 issue found
- 🟢 **Documentation**: all looks good
</details>

***

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state: APPROVED
author_association: NONE
submitted_at: 2025-05-23T23:57:40Z

Review comments:
diff_hunk: @@ -0,0 +1,42 @@
+import { describe, it, expect, beforeEach, vi } from 'vitest';
+import { getNodeExecutor } from './NodeExecutorRegistry';
+
+vi.mock('../utils/OllamaClient', () => {
+  return {
+    OllamaClient: vi.fn().mockImplementation((baseUrl: string) => {
+      return {
+        baseUrl,
+        getConfig: () => ({ baseUrl, type: 'openai', apiKey: '' }),
+        sendChat: vi.fn().mockResolvedValue({ message: { content: 'ok' } })
+      };
+    })
+  };
+});
+
+import './BaseLlmExecutor';
+import { OllamaClient as MockOllamaClient } from '../utils/OllamaClient';
+
+const executor = getNodeExecutor('baseLlmNode')!;
path: src/nodeExecutors/BaseLlmExecutor.test.ts
user: login: entelligence-ai-pr-reviews[bot]
body: **Correctness**: The code uses a non-null assertion (`!`) which is flagged by the linter. This could lead to runtime errors if `getNodeExecutor('baseLlmNode')` returns `null` or `undefined`.

<!-- static_analysis_start -->
<details>
<summary><strong>⚠️ Flagged by Biome</strong></summary>

```
Forbidden non-null assertion.
```
</details>
<!-- static_analysis_end -->

<!-- suggestion_start -->
<details>
<summary><strong>📝 Committable Code Suggestion</strong></summary>

> ‼️ Ensure you review the code suggestion before committing it to the branch. Make sure it replaces the highlighted code, contains no missing lines, and has no issues with indentation.

```suggestion
const executor = getNodeExecutor('baseLlmNode');
if (!executor) throw new Error('BaseLlmNode executor not found');
```
</details>
<!-- suggestion_end -->

created_at: 2025-05-23T23:57:22Z
author_association: NONE
diff_hunk: @@ -36,64 +36,76 @@ describe('AssistantOllamaClient image generation', () => {
   });
 
   it('uses OpenAI flow when type is openai', async () => {
-    (fetch as any).mockImplementation(() =>
+  (fetch as unknown as vi.Mock).mockImplementation(() =>
       mockFetch({ choices: [{ message: { content: 'hi' } }], usage: { total_tokens: 5 } })
     );
 
     const client = new AssistantOllamaClient('https://api.test', { apiKey: 'key', type: 'openai' });
     const result = await client.generateWithImages('model', 'prompt', ['img']);
 
     expect(fetch).toHaveBeenCalledOnce();
-    expect((fetch as any).mock.calls[0][0]).toBe('https://api.test/chat/completions');
+  expect((fetch as unknown as vi.Mock).mock.calls[0][0]).toBe('https://api.test/chat/completions');
     expect(result).toEqual({ response: 'hi', eval_count: 5 });
   });
 
   it('uses OpenAI flow when type is litellm', async () => {
-    (fetch as any).mockImplementation(() =>
+  (fetch as unknown as vi.Mock).mockImplementation(() =>
       mockFetch({ choices: [{ message: { content: 'hi' } }], usage: { total_tokens: 5 } })
     );
 
     const client = new AssistantOllamaClient('https://api.test', { apiKey: 'key', type: 'litellm' });
     const result = await client.generateWithImages('model', 'prompt', ['img']);
 
     expect(fetch).toHaveBeenCalledOnce();
-    expect((fetch as any).mock.calls[0][0]).toBe('https://api.test/chat/completions');
+  expect((fetch as unknown as vi.Mock).mock.calls[0][0]).toBe('https://api.test/chat/completions');
     expect(result).toEqual({ response: 'hi', eval_count: 5 });
   });
 
   it('streams responses when type is openai', async () => {
-    (fetch as any).mockResolvedValue({
+    (fetch as unknown as vi.Mock).mockResolvedValue({
       ok: true,
       body: createStream(['data: {"choices":[{"delta":{"content":"hello"}}]}\n'])
     });
 
     const client = new AssistantOllamaClient('https://api.test', { apiKey: 'key', type: 'openai' });
     const gen = client.streamGenerateWithImages('model', 'prompt', ['img']);
-    const chunks: any[] = [];
+    const chunks: Array<{ response: string; eval_count: number }> = [];
     for await (const chunk of gen) {
       chunks.push(chunk);
     }
 
     expect(fetch).toHaveBeenCalledOnce();
-    expect((fetch as any).mock.calls[0][0]).toBe('https://api.test/chat/completions');
+    expect((fetch as unknown as vi.Mock).mock.calls[0][0]).toBe('https://api.test/chat/completions');
     expect(chunks).toEqual([{ response: 'hello', eval_count: 0 }]);
   });
 
   it('streams responses when type is litellm', async () => {
-    (fetch as any).mockResolvedValue({
+    (fetch as unknown as vi.Mock).mockResolvedValue({
       ok: true,
       body: createStream(['data: {"choices":[{"delta":{"content":"hello"}}]}\n'])
     });
 
     const client = new AssistantOllamaClient('https://api.test', { apiKey: 'key', type: 'litellm' });
     const gen = client.streamGenerateWithImages('model', 'prompt', ['img']);
-    const chunks: any[] = [];
+    const chunks: Array<{ response: string; eval_count: number }> = [];
     for await (const chunk of gen) {
       chunks.push(chunk);
     }
 
     expect(fetch).toHaveBeenCalledOnce();
-    expect((fetch as any).mock.calls[0][0]).toBe('https://api.test/chat/completions');
+    expect((fetch as unknown as vi.Mock).mock.calls[0][0]).toBe('https://api.test/chat/completions');
     expect(chunks).toEqual([{ response: 'hello', eval_count: 0 }]);
   });
 });
+
+it('checks connection using base URL', async () => {
+  vi.stubGlobal('fetch', vi.fn().mockResolvedValue({ ok: true }));
+  const client = new AssistantOllamaClient('http://test', { type: 'litellm' });
+  const result = await client.checkConnection();
+  expect(fetch).toHaveBeenCalledWith('http://test/api/tags', {
+    method: 'GET',
+    headers: { 'Content-Type': 'application/json' }
+  });
+  expect(result).toBe(true);
+  vi.restoreAllMocks();
+});
path: src/utils/AssistantOllamaClient.test.ts
user: login: gemini-code-assist[bot]
body: ![medium](https://img.shields.io/badge/priority-medium-yellow)

This test correctly verifies the current behavior of the `checkConnection` method, which is inherited from `OllamaClient`. However, the `checkConnection` method in `OllamaClient` (see `OllamaClient.ts:843-857`) currently hardcodes the health check to the `/api/tags` endpoint. 

Given that this test case specifically sets `type: 'litellm'`, is `/api/tags` always the correct or expected health check endpoint for a LiteLLM instance? LiteLLM can proxy various services, and `/api/tags` is specific to Ollama. If LiteLLM has a different standard health endpoint (e.g., `/health`) or if it's proxying a non-Ollama service, this check might be misleading or fail.

Could we clarify if `checkConnection` should be more type-aware to use an appropriate health check endpoint based on `this.config.type` (e.g., for 'litellm', 'openai')? While this test accurately reflects the current implementation, the underlying implementation might need adjustment for robustness across different API types.
created_at: 2025-05-23T23:57:24Z
author_association: NONE
diff_hunk: @@ -0,0 +1,42 @@
+import { describe, it, expect, beforeEach, vi } from 'vitest';
+import { getNodeExecutor } from './NodeExecutorRegistry';
+
+vi.mock('../utils/OllamaClient', () => {
+  return {
+    OllamaClient: vi.fn().mockImplementation((baseUrl: string) => {
+      return {
+        baseUrl,
+        getConfig: () => ({ baseUrl, type: 'openai', apiKey: '' }),
+        generateWithImages: vi.fn().mockResolvedValue({ response: 'ok' })
+      };
+    })
+  };
+});
+
+import './ImageTextLlmExecutor';
+import { OllamaClient as MockOllamaClient } from '../utils/OllamaClient';
+
+const executor = getNodeExecutor('imageTextLlmNode')!;
path: src/nodeExecutors/ImageTextLlmExecutor.test.ts
user: login: entelligence-ai-pr-reviews[bot]
body: **Correctness**: The code uses a non-null assertion (`!`) which is flagged by the linter. This could lead to runtime errors if `getNodeExecutor` returns `null` or `undefined`.

<!-- static_analysis_start -->
<details>
<summary><strong>⚠️ Flagged by Biome</strong></summary>

```
Forbidden non-null assertion.
```
</details>
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<!-- suggestion_start -->
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```suggestion
const executor = getNodeExecutor('imageTextLlmNode');
if (!executor) throw new Error('imageTextLlmNode executor not found');
```
</details>
<!-- suggestion_end -->

created_at: 2025-05-23T23:57:25Z
author_association: NONE
diff_hunk: @@ -0,0 +1,42 @@
+import { describe, it, expect, beforeEach, vi } from 'vitest';
+import { getNodeExecutor } from './NodeExecutorRegistry';
+
+vi.mock('../utils/OllamaClient', () => {
path: src/nodeExecutors/BaseLlmExecutor.test.ts
user: login: sourcery-ai[bot]
body: **issue (complexity):** Consider extracting a reusable test helper to mock OllamaClient methods and reduce duplicated mock setup in your tests.

You can eliminate almost all of the duplicated mock setup by extracting a small test‐helper that stubs out the `OllamaClient` and drives any method you like. For example:

```ts
// tests/utils/ollamaClientMock.ts
import { vi } from 'vitest';
import type { OllamaClient as IClient } from '../../utils/OllamaClient';

export function mockOllamaClientMethod<
  K extends keyof IClient
>(method: K, returnValue: Awaited<ReturnType<IClient[K]>>) {
  const stub = vi.fn().mockResolvedValue(returnValue);
  const ctor = vi.fn().mockImplementation(
    (baseUrl: string, config: any): IClient =>
      ({ baseUrl, getConfig: () => config, [method]: stub } as unknown as IClient)
  );

  vi.mock('../../utils/OllamaClient', () => ({ OllamaClient: ctor }));
  return { stub, MockOllamaClient: ctor };
}
```

Then in your two tests you simply:

```ts
// BaseLlmExecutor.test.ts
import { describe, it, beforeEach, expect, vi } from 'vitest';
import { getNodeExecutor } from './NodeExecutorRegistry';
import './BaseLlmExecutor';

import { mockOllamaClientMethod } from '../utils/ollamaClientMock';

const { stub: sendChatStub, MockOllamaClient } = mockOllamaClientMethod(
  'sendChat',
  { message: { content: 'ok' } }
);

const executor = getNodeExecutor('baseLlmNode')!;

describe('BaseLlmExecutor with LiteLLM', () => {
  beforeEach(() => vi.clearAllMocks());

  it('uses LiteLLM base URL when api type is litellm', async () => {
    const node = { id: '1', data: { config: { model: 'm' } } } as any;
    const ctx = {
      node,
      inputs: { text: 'hello' },
      ollamaClient: null,
      apiConfig: { type: 'litellm', baseUrl: 'https://lite.server', apiKey: 'k' }
    } as any;

    const result = await executor.execute(ctx);
    expect(result).toBe('ok');

    expect(MockOllamaClient).toHaveBeenCalledWith(
      'https://lite.server',
      expect.objectContaining({ apiKey: 'k', type: 'openai' })
    );
    expect(sendChatStub).toHaveBeenCalled();
  });
});
```

And in `ImageTextLlmExecutor.test.ts` you’d do the same but call `mockOllamaClientMethod('generateWithImages', …)` instead of `'sendChat'`. This removes nearly all of your boilerplate while preserving the exact same behavior.
created_at: 2025-05-23T23:57:39Z
author_association: NONE

PR comments:
user: login: sourcery-ai[bot]
created_at: 2025-05-23T23:55:38Z
body: <!-- Generated by sourcery-ai[bot]: start review_guide -->

## Reviewer's Guide

This PR adds comprehensive Vitest unit tests to validate LiteLLM URL handling and type mappings across the AssistantOllamaClient and NodeExecutor implementations, and introduces a global test setup file.

#### Sequence Diagram for AssistantOllamaClient with LiteLLM Generation

```mermaid
sequenceDiagram
    participant Test
    participant AOC as AssistantOllamaClient
    participant LiteLLM_API as LiteLLM API (/chat/completions)

    Test->>+AOC: generateWithImages("model", "prompt", ["img"], config={type:"litellm", baseUrl:"https://api.test"})
    AOC->>+LiteLLM_API: POST /chat/completions (Body with prompt, images)
    LiteLLM_API-->>-AOC: { choices: [{ message: { content: "hi" } }], usage: { total_tokens: 5 } }
    AOC-->>-Test: { response: "hi", eval_count: 5 }

    Test->>+AOC: streamGenerateWithImages("model", "prompt", ["img"], config={type:"litellm", baseUrl:"https://api.test"})
    AOC->>+LiteLLM_API: POST /chat/completions (Body with prompt, images, stream=true)
    LiteLLM_API-->>-AOC: Stream data: {"choices":[{"delta":{"content":"hello"}}]}
    AOC-->>-Test: Yields { response: "hello", eval_count: 0 }
```

#### Sequence Diagram for AssistantOllamaClient LiteLLM Connection Check

```mermaid
sequenceDiagram
    participant Test
    participant AOC as AssistantOllamaClient
    participant LiteLLM_API_Tags as LiteLLM API (/api/tags)

    Test->>+AOC: checkConnection(config={type:"litellm", baseUrl:"http://test"})
    AOC->>+LiteLLM_API_Tags: GET /api/tags
    LiteLLM_API_Tags-->>-AOC: HTTP 200 OK
    AOC-->>-Test: true
```

#### Sequence Diagram for NodeExecutor with LiteLLM Configuration

```mermaid
sequenceDiagram
    participant Test
    participant Executor as BaseLlmExecutor
    participant OC as OllamaClient

    Test->>+Executor: execute(context={ apiConfig:{type:"litellm", baseUrl:"https://lite.server", apiKey:"k"}, inputs:{text:"hello"} })
    Executor->>+OC: new OllamaClient("https://lite.server", {apiKey:"k", type:"openai"})
    Executor->>OC: sendChat(prompt="hello", model="m")
    OC-->>Executor: { message: { content: "ok" } }
    Executor-->>-Test: "ok"
```

#### Class Diagram for AssistantOllamaClient (LiteLLM Test Focus)

```mermaid
classDiagram
    class AssistantOllamaClient {
        -apiBaseUrl: string
        -config: ClientConfig
        +constructor(baseUrl: string, config: ClientConfig)
        +generateWithImages(model: string, prompt: string, images: string[]): Promise<ImageGenResponse>
        +streamGenerateWithImages(model: string, prompt: string, images: string[]): AsyncGenerator<StreamChunk, void, unknown>
        +checkConnection(): Promise<boolean>
    }
    class ClientConfig {
      <<Data>>
      apiKey: string
      type: string
    }
    class ImageGenResponse {
      <<Data>>
      response: string
      eval_count: number
    }
    class StreamChunk {
      <<Data>>
      response: string
      eval_count: number
    }
    AssistantOllamaClient *-- ClientConfig
    AssistantOllamaClient ..> ImageGenResponse : uses
    AssistantOllamaClient ..> StreamChunk : uses
```

#### Class Diagram for NodeExecutors and OllamaClient (LiteLLM Test Focus)

```mermaid
classDiagram
    class BaseLlmExecutor {
        +execute(context: NodeExecutionContext): Promise<string>
    }
    class ImageTextLlmExecutor {
        +execute(context: NodeExecutionContext): Promise<string>
    }
    class OllamaClient {
        -baseUrl: string
        -config: OllamaClientConfig
        +constructor(baseUrl: string, config: OllamaClientConfig)
        +sendChat(params: object): Promise<OllamaChatResponse>
        +generateWithImages(params: object): Promise<OllamaImageResponse>
    }
    class NodeExecutionContext {
      <<Data>>
      apiConfig: ApiConfig
      inputs: object
      node: object
      ollamaClient: OllamaClient | null
    }
    class ApiConfig {
      <<Data>>
      type: string
      baseUrl: string
      apiKey: string
    }
    class OllamaClientConfig {
      <<Data>>
      apiKey: string
      type: string
    }
    class OllamaChatResponse {
      <<Data>>
      message: object
    }
    class OllamaImageResponse {
      <<Data>>
      response: string
    }

    BaseLlmExecutor ..> NodeExecutionContext : uses
    ImageTextLlmExecutor ..> NodeExecutionContext : uses
    NodeExecutionContext *-- ApiConfig
    BaseLlmExecutor ..> OllamaClient : instantiates and uses
    ImageTextLlmExecutor ..> OllamaClient : instantiates and uses
    OllamaClient *-- OllamaClientConfig
    OllamaClient ..> OllamaChatResponse : uses
    OllamaClient ..> OllamaImageResponse : uses
```

### File-Level Changes

| Change | Details | Files |
| ------ | ------- | ----- |
| Extended AssistantOllamaClient tests for both non-streaming and streaming flows, including LiteLLM and OpenAI types plus a connection check | <ul><li>Refactored mockFetch signature to use unknown and typed ReadableStream</li><li>Replaced generic fetch mocks with vi.Mock casts</li><li>Added parallel tests for ‘litellm’ alongside ‘openai’ in generateWithImages and streamGenerateWithImages</li><li>Introduced a new checkConnection test to verify base URL health endpoint</li></ul> | `src/utils/AssistantOllamaClient.test.ts` |
| Added BaseLlmExecutor test to assert LiteLLM base URL and type override | <ul><li>Mocked OllamaClient factory to return predictable sendChat responses</li><li>Executed BaseLlmExecutor with a litellm config and validated the client instantiation parameters</li></ul> | `src/nodeExecutors/BaseLlmExecutor.test.ts` |
| Added ImageTextLlmExecutor test to assert LiteLLM base URL and type override | <ul><li>Mocked OllamaClient generateWithImages method</li><li>Ran executor with litellm settings and checked client constructor arguments</li></ul> | `src/nodeExecutors/ImageTextLlmExecutor.test.ts` |
| Introduced test scaffolding and placeholders for ExecutionEngine tests | <ul><li>Created empty ExecutionEngine.test.ts stub</li><li>Added Vitest setup file for global test configuration</li></ul> | `src/ExecutionEngine.test.ts`<br/>`src/test/setup.ts` |

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created_at: 2025-05-23T23:55:41Z
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created_at: 2025-05-23T23:57:13Z
body: ## Review Summary

Skipped posting 1 drafted comments based on your review threshold. Feel free to update them [here](https://www.entelligence.ai/pull-requests).

<details>
<summary>Draft Comments</summary>

<details>
<summary>src/ExecutionEngine.test.ts:5-7</summary>

```
The mock for `db` is incorrectly indented, causing a syntax error. The `db` property should be properly indented within the object literal.
```

Scores:
- Production Impact: 3
- Fix Specificity: 5
- Urgency Impact: 3
- Total Score: 11

Reason for filtering: 

Analysis: The indentation issue in the mock could cause syntax errors during test execution. The fix is clearly specified with proper indentation. While not causing immediate production failures (as it's in test code), it would prevent tests from running correctly, which could indirectly impact production if bugs aren't caught. The total score meets the minimum threshold for inclusion.
</details>

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author_association: NONE
user: login: entelligence-ai-pr-reviews[bot]
created_at: 2025-05-23T23:57:15Z
body: ## Walkthrough
This PR significantly improves test coverage and type safety for the codebase, particularly around LiteLLM API configuration and executor logic. It introduces new unit tests for execution plan generation and LLM executors, ensuring correct handling of LiteLLM-specific settings. The test environment is standardized with a new setup file, and existing tests are refactored for better type safety and clarity. These changes collectively enhance reliability, maintainability, and confidence in the system's API integration logic.

## Changes
| File(s) | Summary |
| --- | --- |
| src/ExecutionEngine.test.ts | Added new unit tests for 'generateExecutionPlan' focusing on LiteLLM API configuration logic. |
| src/nodeExecutors/BaseLlmExecutor.test.ts\nsrc/nodeExecutors/ImageTextLlmExecutor.test.ts | Added new unit tests for BaseLlmExecutor and ImageTextLlmExecutor, verifying correct instantiation and behavior with LiteLLM API configuration, including mocking of OllamaClient. |
| src/test/setup.ts | Introduced a test setup file importing '@testing-library/jest-dom' to standardize DOM assertion capabilities in the test environment. |
| src/utils/AssistantOllamaClient.test.ts | Improved type safety and clarity in tests: updated parameter and return types, replaced type casts for mocks, made array types explicit, and added a test for 'checkConnection' base URL usage. |

## Sequence Diagram
This diagram shows the interactions between components:

```mermaid
sequenceDiagram
    title ExecutionEngine LiteLLM Configuration Flow
    
    participant Test as "Test Suite"
    participant ExecEngine as "ExecutionEngine"
    participant DB as "Database"
    
    Note over Test: Test case for LiteLLM configuration
    
    Test->>ExecEngine: generateExecutionPlan(nodes, edges)
    activate ExecEngine
    
    Note over ExecEngine: Process nodes with LiteLLM config
    
    alt Node has apiType: 'litellm'
        ExecEngine->>DB: db.getAPIConfig()
        DB-->>ExecEngine: Return null (mocked)
        
        Note over ExecEngine: Use node's litellm configuration
        ExecEngine-->>Test: Return plan with config.type='litellm' and baseUrl=litellmUrl
    else Other API types
        Note over ExecEngine: Handle other API configurations
    end
    
    deactivate ExecEngine
    
    Test->>Test: Verify plan.config.type is 'litellm'
    Test->>Test: Verify plan.config.baseUrl is 'http://lite.url'
```


▶️ ⚡ **AI Code Reviews for VS Code, Cursor, Windsurf**  
[Install the extension](https://marketplace.visualstudio.com/items?itemName=EntelligenceAI.EntelligenceAI-PR-Reviewer)

<details>
<summary>Note for Windsurf</summary>
Please change the default marketplace provider to the following in the windsurf settings:

Marketplace Extension Gallery Service URL: https://marketplace.visualstudio.com/_apis/public/gallery

Marketplace Gallery Item URL: https://marketplace.visualstudio.com/items
</details>

<details>
<summary>Entelligence.ai can learn from your feedback. Simply add 👍 / 👎 emojis to teach it your preferences. More shortcuts below</summary>

### **Emoji Descriptions:**
- ⚠️ **Potential Issue** - May require further investigation.
- 🔒 **Security Vulnerability** - Fix to ensure system safety.
- 💻 **Code Improvement** - Suggestions to enhance code quality.
- 🔨 **Refactor Suggestion** - Recommendations for restructuring code.
- ℹ️ **Others** - General comments and information.

### **Interact with the Bot:**
- Send a message or request using the format:
`@entelligenceai + *your message*`
```plaintext
Example: @entelligenceai Can you suggest improvements for this code?
```
- Help the Bot learn by providing feedback on its responses.
`@entelligenceai + *feedback*`
```plaintext
Example: @entelligenceai Do not comment on `save_auth` function !
```

Also you can trigger various commands with the bot by doing
`@entelligenceai command`

The current supported commands are
1. `config` - shows the current config
2. `retrigger_review` - retriggers the review

More commands to be added soon.
</details>

author_association: NONE
user: login: qltysh[bot]
created_at: 2025-05-23T23:58:36Z
body: All good ✅

<a href="#analysis-summary-comment"></a>
author_association: NONE
user: login: entelligence-ai-pr-reviews[bot]
created_at: 2025-05-23T23:58:42Z
body: LGTM :+1:
author_association: NONE