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🤖 feat: Custom Endpoint Agents (experimental) (#4627)
* wip: first pass, custom endpoint agents * chore: imports * chore: consolidate exports * fix: imports * feat: convert message.content array to strings for legacy format handling (deepseek/groq) * refactor: normalize ollama endpoint name * refactor: update mocking in isDomainAllowed.spec.js * refactor: update deepseekModels in tokens.js and tokens.spec.js
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23 changed files with 230 additions and 73 deletions
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@ -1,6 +1,6 @@
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const { fetchModels } = require('~/server/services/ModelService');
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const { getCustomConfig } = require('./getCustomConfig');
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const loadConfigModels = require('./loadConfigModels');
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const getCustomConfig = require('./getCustomConfig');
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jest.mock('~/server/services/ModelService');
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jest.mock('./getCustomConfig');
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@ -253,13 +253,13 @@ describe('loadConfigModels', () => {
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}),
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);
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// For groq and Ollama, since the apiKey is "user_provided", models should not be fetched
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// For groq and ollama, since the apiKey is "user_provided", models should not be fetched
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// Depending on your implementation's behavior regarding "default" models without fetching,
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// you may need to adjust the following assertions:
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expect(result.groq).toBe(exampleConfig.endpoints.custom[2].models.default);
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expect(result.Ollama).toBe(exampleConfig.endpoints.custom[3].models.default);
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expect(result.ollama).toBe(exampleConfig.endpoints.custom[3].models.default);
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// Verifying fetchModels was not called for groq and Ollama
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// Verifying fetchModels was not called for groq and ollama
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expect(fetchModels).not.toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'groq',
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@ -267,7 +267,7 @@ describe('loadConfigModels', () => {
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);
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expect(fetchModels).not.toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'Ollama',
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name: 'ollama',
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}),
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);
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});
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@ -335,4 +335,68 @@ describe('loadConfigModels', () => {
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expect(result.FalsyFetchModel).toEqual(['defaultModel1', 'defaultModel2']);
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});
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it('normalizes Ollama endpoint name to lowercase', async () => {
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const testCases = [
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{
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name: 'Ollama',
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apiKey: 'user_provided',
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baseURL: 'http://localhost:11434/v1/',
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models: {
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default: ['mistral', 'llama2'],
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fetch: false,
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},
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},
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{
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name: 'OLLAMA',
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apiKey: 'user_provided',
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baseURL: 'http://localhost:11434/v1/',
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models: {
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default: ['mixtral', 'codellama'],
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fetch: false,
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},
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},
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{
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name: 'OLLaMA',
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apiKey: 'user_provided',
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baseURL: 'http://localhost:11434/v1/',
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models: {
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default: ['phi', 'neural-chat'],
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fetch: false,
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},
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},
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];
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getCustomConfig.mockResolvedValue({
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endpoints: {
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custom: testCases,
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},
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});
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const result = await loadConfigModels(mockRequest);
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// All variations of "Ollama" should be normalized to lowercase "ollama"
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// and the last config in the array should override previous ones
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expect(result.Ollama).toBeUndefined();
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expect(result.OLLAMA).toBeUndefined();
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expect(result.OLLaMA).toBeUndefined();
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expect(result.ollama).toEqual(['phi', 'neural-chat']);
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// Verify fetchModels was not called since these are user_provided
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expect(fetchModels).not.toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'Ollama',
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}),
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);
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expect(fetchModels).not.toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'OLLAMA',
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}),
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);
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expect(fetchModels).not.toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'OLLaMA',
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}),
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);
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});
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});
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