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| import { describe, it, expect, beforeAll, beforeEach, afterEach, vi } from 'vitest'; | |
| import type { Express } from 'express'; | |
| import { createApp } from '../../app.js'; | |
| import { initDb, getDb, getUnifiedApiKey } from '../../db/index.js'; | |
| import { mintDashboardToken, isGatedApiPath } from '../helpers/auth.js'; | |
| let dashToken = ''; | |
| async function request(app: Express, method: string, path: string, body?: any, headers: Record<string, string> = {}) { | |
| const server = app.listen(0); | |
| const addr = server.address() as any; | |
| const url = `http://127.0.0.1:${addr.port}${path}`; | |
| const res = await fetch(url, { | |
| method, | |
| headers: { ...(body ? { 'Content-Type': 'application/json' } : {}), ...(isGatedApiPath(path) && !('Authorization' in headers) ? { Authorization: `Bearer ${dashToken}` } : {}), ...headers }, | |
| body: body ? JSON.stringify(body) : undefined, | |
| }); | |
| const data = await res.text(); | |
| server.close(); | |
| let json: any = null; | |
| try { json = JSON.parse(data); } catch {} | |
| return { status: res.status, body: json, headers: res.headers, raw: data }; | |
| } | |
| function authHeaders() { | |
| return { Authorization: `Bearer ${getUnifiedApiKey()}` }; | |
| } | |
| describe('Proxy tool-calling support', () => { | |
| let app: Express; | |
| beforeAll(() => { | |
| process.env.ENCRYPTION_KEY = '0'.repeat(64); | |
| initDb(':memory:'); | |
| app = createApp(); | |
| dashToken = mintDashboardToken(); | |
| }); | |
| beforeEach(async () => { | |
| const db = getDb(); | |
| db.prepare('DELETE FROM api_keys').run(); | |
| db.prepare('DELETE FROM requests').run(); | |
| const addKey = await request(app, 'POST', '/api/keys', { | |
| platform: 'groq', | |
| key: 'gsk_proxy_tool_test', | |
| label: 'proxy-tools', | |
| }); | |
| expect(addKey.status).toBe(201); | |
| }); | |
| afterEach(() => { | |
| vi.restoreAllMocks(); | |
| }); | |
| it('passes tools/tool_choice to provider and returns tool_calls', async () => { | |
| const origFetch = global.fetch; | |
| let providerBody: any = null; | |
| vi.spyOn(global, 'fetch').mockImplementation(async (url, init) => { | |
| const urlStr = typeof url === 'string' ? url : url.toString(); | |
| if (urlStr.includes('api.groq.com/openai/v1/chat/completions')) { | |
| providerBody = JSON.parse((init as any).body); | |
| return { | |
| ok: true, | |
| json: () => Promise.resolve({ | |
| id: 'chatcmpl-tool', | |
| object: 'chat.completion', | |
| created: 123, | |
| model: 'openai/gpt-oss-120b', | |
| choices: [{ | |
| index: 0, | |
| message: { | |
| role: 'assistant', | |
| content: null, | |
| tool_calls: [{ | |
| id: 'call_weather', | |
| type: 'function', | |
| function: { | |
| name: 'get_weather', | |
| arguments: '{"city":"Karachi"}', | |
| }, | |
| }], | |
| }, | |
| finish_reason: 'tool_calls', | |
| }], | |
| usage: { prompt_tokens: 12, completion_tokens: 4, total_tokens: 16 }, | |
| }), | |
| } as any; | |
| } | |
| return origFetch(url, init); | |
| }); | |
| const { status, body } = await request(app, 'POST', '/v1/chat/completions', { | |
| // No `model` → auto-route via fallback chain. | |
| messages: [{ role: 'user', content: 'What is the weather in Karachi?' }], | |
| tools: [{ | |
| type: 'function', | |
| function: { | |
| name: 'get_weather', | |
| description: 'Get current weather', | |
| parameters: { | |
| type: 'object', | |
| properties: { city: { type: 'string' } }, | |
| required: ['city'], | |
| }, | |
| }, | |
| }], | |
| tool_choice: 'required', | |
| }, authHeaders()); | |
| expect(status).toBe(200); | |
| expect(providerBody.tools).toHaveLength(1); | |
| expect(providerBody.tool_choice).toBe('required'); | |
| expect(body.choices[0].finish_reason).toBe('tool_calls'); | |
| expect(body.choices[0].message.tool_calls[0].function.name).toBe('get_weather'); | |
| }); | |
| it('accepts assistant tool_calls + tool messages in follow-up turns', async () => { | |
| const origFetch = global.fetch; | |
| let providerBody: any = null; | |
| vi.spyOn(global, 'fetch').mockImplementation(async (url, init) => { | |
| const urlStr = typeof url === 'string' ? url : url.toString(); | |
| if (urlStr.includes('api.groq.com/openai/v1/chat/completions')) { | |
| providerBody = JSON.parse((init as any).body); | |
| return { | |
| ok: true, | |
| json: () => Promise.resolve({ | |
| id: 'chatcmpl-final', | |
| object: 'chat.completion', | |
| created: 123, | |
| model: 'openai/gpt-oss-120b', | |
| choices: [{ | |
| index: 0, | |
| message: { | |
| role: 'assistant', | |
| content: 'It is 30C in Karachi.', | |
| }, | |
| finish_reason: 'stop', | |
| }], | |
| usage: { prompt_tokens: 18, completion_tokens: 6, total_tokens: 24 }, | |
| }), | |
| } as any; | |
| } | |
| return origFetch(url, init); | |
| }); | |
| const { status, body } = await request(app, 'POST', '/v1/chat/completions', { | |
| messages: [ | |
| { role: 'user', content: 'Weather in Karachi?' }, | |
| { | |
| role: 'assistant', | |
| content: null, | |
| tool_calls: [{ | |
| id: 'call_weather_1', | |
| type: 'function', | |
| function: { | |
| name: 'get_weather', | |
| arguments: '{"city":"Karachi"}', | |
| }, | |
| }], | |
| }, | |
| { | |
| role: 'tool', | |
| tool_call_id: 'call_weather_1', | |
| content: '{"temp_c":30}', | |
| }, | |
| ], | |
| }, authHeaders()); | |
| expect(status).toBe(200); | |
| expect(providerBody.messages[1].role).toBe('assistant'); | |
| expect(providerBody.messages[1].content).toBeNull(); | |
| expect(providerBody.messages[1].tool_calls).toHaveLength(1); | |
| expect(providerBody.messages[2].role).toBe('tool'); | |
| expect(providerBody.messages[2].tool_call_id).toBe('call_weather_1'); | |
| expect(body.choices[0].message.content).toContain('30C'); | |
| }); | |
| it('round-trips assistant reasoning_content on follow-up turns (DeepSeek thinking — #255)', async () => { | |
| const origFetch = global.fetch; | |
| let providerBody: any = null; | |
| vi.spyOn(global, 'fetch').mockImplementation(async (url, init) => { | |
| const urlStr = typeof url === 'string' ? url : url.toString(); | |
| if (urlStr.includes('api.groq.com/openai/v1/chat/completions')) { | |
| providerBody = JSON.parse((init as any).body); | |
| return { | |
| ok: true, | |
| json: () => Promise.resolve({ | |
| id: 'chatcmpl-r', object: 'chat.completion', created: 1, model: 'm', | |
| choices: [{ index: 0, message: { role: 'assistant', content: 'done' }, finish_reason: 'stop' }], | |
| usage: { prompt_tokens: 5, completion_tokens: 2, total_tokens: 7 }, | |
| }), | |
| } as any; | |
| } | |
| return origFetch(url, init); | |
| }); | |
| const { status } = await request(app, 'POST', '/v1/chat/completions', { | |
| messages: [ | |
| { role: 'user', content: 'think then answer' }, | |
| { | |
| role: 'assistant', | |
| content: 'partial', | |
| // What a DeepSeek thinking model returned last turn and the client | |
| // replayed. Stripping it makes OpenCode Zen 400 on this request. | |
| reasoning_content: 'Let me reason about this step by step...', | |
| }, | |
| { role: 'user', content: 'continue' }, | |
| ], | |
| }, authHeaders()); | |
| expect(status).toBe(200); | |
| expect(providerBody.messages[1].role).toBe('assistant'); | |
| expect(providerBody.messages[1].reasoning_content).toBe('Let me reason about this step by step...'); | |
| }); | |
| }); | |