File size: 14,568 Bytes
63eaa16
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
import { describe, it, expect, beforeAll, afterAll } from "bun:test";
import type { Server } from "bun";
import { OpenAIService } from "../src/openai-service";

describe("End-to-End Tool Calling Tests", () => {
  let server: Server;
  let baseUrl: string;

  beforeAll(async () => {
    // Create a separate server instance for testing on a different port
    const openAIService = new OpenAIService();
    const testPort = 3001;

    server = Bun.serve({
      port: testPort,
      async fetch(req) {
        const url = new URL(req.url);

        // CORS headers
        const corsHeaders = {
          "Access-Control-Allow-Origin": "*",
          "Access-Control-Allow-Methods": "GET, POST, OPTIONS",
          "Access-Control-Allow-Headers": "Content-Type, Authorization",
        };

        // Handle preflight requests
        if (req.method === "OPTIONS") {
          return new Response(null, { headers: corsHeaders });
        }

        try {
          // Health check endpoint
          if (url.pathname === "/health" && req.method === "GET") {
            return new Response(JSON.stringify({ status: "ok" }), {
              headers: { "Content-Type": "application/json", ...corsHeaders },
            });
          }

          // Models endpoint
          if (url.pathname === "/v1/models" && req.method === "GET") {
            const models = openAIService.getModels();
            return new Response(JSON.stringify(models), {
              headers: { "Content-Type": "application/json", ...corsHeaders },
            });
          }

          // Chat completions endpoint
          if (
            url.pathname === "/v1/chat/completions" &&
            req.method === "POST"
          ) {
            const body = await req.json();
            const validatedRequest = openAIService.validateRequest(body);

            // Handle streaming
            if (validatedRequest.stream) {
              const stream =
                await openAIService.createChatCompletionStream(
                  validatedRequest
                );
              return new Response(stream, {
                headers: {
                  "Content-Type": "text/event-stream",
                  "Cache-Control": "no-cache",
                  Connection: "keep-alive",
                  ...corsHeaders,
                },
              });
            }

            // Handle non-streaming
            const completion =
              await openAIService.createChatCompletion(validatedRequest);
            return new Response(JSON.stringify(completion), {
              headers: { "Content-Type": "application/json", ...corsHeaders },
            });
          }

          // 404 for unknown endpoints
          return new Response(
            JSON.stringify({
              error: {
                message: "Not found",
                type: "invalid_request_error",
              },
            }),
            {
              status: 404,
              headers: { "Content-Type": "application/json", ...corsHeaders },
            }
          );
        } catch (error) {
          console.error("Server error:", error);

          const errorMessage =
            error instanceof Error ? error.message : "Internal server error";
          const statusCode =
            errorMessage.includes("required") || errorMessage.includes("must")
              ? 400
              : 500;

          return new Response(
            JSON.stringify({
              error: {
                message: errorMessage,
                type:
                  statusCode === 400
                    ? "invalid_request_error"
                    : "internal_server_error",
              },
            }),
            {
              status: statusCode,
              headers: { "Content-Type": "application/json", ...corsHeaders },
            }
          );
        }
      },
    });

    baseUrl = `http://localhost:${testPort}`;

    // Wait a bit for server to be ready
    await new Promise((resolve) => setTimeout(resolve, 100));
  });

  afterAll(() => {
    if (server) {
      server.stop();
    }
  });

  describe("Function Calling API", () => {
    it("should handle basic function calling request", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [{ role: "user", content: "What time is it?" }],
        tools: [
          {
            type: "function",
            function: {
              name: "get_current_time",
              description: "Get the current time",
            },
          },
        ],
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(200);
      const data = await response.json();

      expect(data.object).toBe("chat.completion");
      expect(data.choices).toHaveLength(1);
      expect(data.choices[0].message.role).toBe("assistant");

      // The response should either contain tool_calls or regular content
      // depending on whether the AI decided to call the function
      if (data.choices[0].finish_reason === "tool_calls") {
        expect(data.choices[0].message.tool_calls).toBeDefined();
        expect(data.choices[0].message.content).toBe(null);
      } else {
        expect(data.choices[0].message.content).toBeTypeOf("string");
      }
    });

    it("should handle calculate function", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [{ role: "user", content: "Calculate 15 + 27" }],
        tools: [
          {
            type: "function",
            function: {
              name: "calculate",
              description: "Perform mathematical calculations",
              parameters: {
                type: "object",
                properties: {
                  expression: {
                    type: "string",
                    description: "Mathematical expression to evaluate",
                  },
                },
                required: ["expression"],
              },
            },
          },
        ],
        tool_choice: "required",
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(200);
      const data = await response.json();

      // With tool_choice: "required", we should get a function call
      expect(data.choices[0].finish_reason).toBe("tool_calls");
      expect(data.choices[0].message.tool_calls).toHaveLength(1);
      expect(data.choices[0].message.tool_calls[0].function.name).toBe(
        "calculate"
      );
    });

    it("should handle weather function", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [
          {
            role: "user",
            content: "What's the weather like in San Francisco?",
          },
        ],
        tools: [
          {
            type: "function",
            function: {
              name: "get_weather",
              description: "Get weather information for a location",
              parameters: {
                type: "object",
                properties: {
                  location: {
                    type: "string",
                    description: "The city and state, e.g. San Francisco, CA",
                  },
                },
                required: ["location"],
              },
            },
          },
        ],
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(200);
      const data = await response.json();

      expect(data.object).toBe("chat.completion");
      expect(data.choices[0].message.role).toBe("assistant");
    });

    it("should handle streaming with tools", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [{ role: "user", content: "What time is it?" }],
        tools: [
          {
            type: "function",
            function: {
              name: "get_current_time",
              description: "Get the current time",
            },
          },
        ],
        stream: true,
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(200);
      expect(response.headers.get("content-type")).toBe("text/event-stream");

      const reader = response.body?.getReader();
      expect(reader).toBeDefined();

      let chunks: string[] = [];
      let done = false;

      while (!done && chunks.length < 10) {
        // Limit to prevent infinite loop
        const { value, done: streamDone } = await reader!.read();
        done = streamDone;

        if (value) {
          const text = new TextDecoder().decode(value);
          chunks.push(text);
        }
      }

      const fullResponse = chunks.join("");
      expect(fullResponse).toContain("data:");
      expect(fullResponse).toContain("[DONE]");
    });

    it("should reject invalid tool definitions", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [{ role: "user", content: "Hello" }],
        tools: [
          {
            type: "invalid_type",
            function: {
              name: "test",
            },
          },
        ],
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(400);
      const data = await response.json();
      expect(data.error.message).toContain("Invalid tools");
    });

    it("should handle tool_choice none", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [{ role: "user", content: "What time is it?" }],
        tools: [
          {
            type: "function",
            function: {
              name: "get_current_time",
              description: "Get the current time",
            },
          },
        ],
        tool_choice: "none",
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(200);
      const data = await response.json();

      // With tool_choice: "none", we should get regular content, not function calls
      expect(data.choices[0].message.content).toBeTypeOf("string");
      expect(data.choices[0].finish_reason).toBe("stop");
    });

    it("should handle multi-turn conversation with tools", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [
          { role: "user", content: "What time is it?" },
          {
            role: "assistant",
            content: null,
            tool_calls: [
              {
                id: "call_1",
                type: "function",
                function: {
                  name: "get_current_time",
                  arguments: "{}",
                },
              },
            ],
          },
          {
            role: "tool",
            content: "2024-01-15T10:30:00Z",
            tool_call_id: "call_1",
          },
          {
            role: "user",
            content: "Thanks! Can you also calculate 10 + 5?",
          },
        ],
        tools: [
          {
            type: "function",
            function: {
              name: "get_current_time",
              description: "Get the current time",
            },
          },
          {
            type: "function",
            function: {
              name: "calculate",
              description: "Perform mathematical calculations",
              parameters: {
                type: "object",
                properties: {
                  expression: {
                    type: "string",
                    description: "Mathematical expression to evaluate",
                  },
                },
                required: ["expression"],
              },
            },
          },
        ],
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(200);
      const data = await response.json();

      expect(data.object).toBe("chat.completion");
      expect(data.choices[0].message.role).toBe("assistant");
    });
  });

  describe("Error Handling", () => {
    it("should handle malformed tool messages", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [
          {
            role: "tool",
            content: "Some result",
            // Missing tool_call_id
          },
        ],
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(400);
      const data = await response.json();
      expect(data.error.message).toContain("tool_call_id");
    });

    it("should handle missing function parameters", async () => {
      const request = {
        model: "gpt-4o-mini",
        messages: [{ role: "user", content: "Hello" }],
        tools: [
          {
            type: "function",
            function: {
              // Missing name
              description: "A test function",
            },
          },
        ],
      };

      const response = await fetch(`${baseUrl}/v1/chat/completions`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify(request),
      });

      expect(response.status).toBe(400);
      const data = await response.json();
      expect(data.error.message).toContain("function name is required");
    });
  });
});