Hugging Face's logo

Spaces:
emelpribadi3
/
routerOnly
Sleeping

App Files Community
routerOnly
File size: 3,783 Bytes
ebd68ab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
import { describe, expect, it } from "vitest";

import { CodexExecutor } from "../../open-sse/executors/codex.js";

function normalizeTools(tools) {
  const executor = new CodexExecutor();
  const body = {
    model: "gpt-5.5",
    input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "probe" }] }],
    tools,
    stream: true,
  };

  executor.transformRequest("gpt-5.5", body, true, {
    connectionId: "test-codex-tools",
    providerSpecificData: {},
  });

  return body.tools;
}

describe("CodexExecutor tool normalization", () => {
  it("preserves Responses text.format for structured outputs", () => {
    const executor = new CodexExecutor();
    const schema = {
      type: "object",
      additionalProperties: false,
      properties: {
        title: { type: "string" },
      },
      required: ["title"],
    };
    const body = {
      model: "gpt-5.4-mini",
      input: [{ type: "message", role: "user", content: [{ type: "input_text", text: "test for session title" }] }],
      stream: true,
      metadata: { unsupported: true },
      text: {
        format: {
          type: "json_schema",
          name: "codex_output_schema",
          strict: true,
          schema,
        },
      },
    };

    executor.transformRequest("gpt-5.4-mini", body, true, {
      connectionId: "test-codex-structured-output",
      providerSpecificData: {},
    });

    expect(body.text).toEqual({
      format: {
        type: "json_schema",
        name: "codex_output_schema",
        strict: true,
        schema,
      },
    });
    expect(body.metadata).toBeUndefined();
  });

  it("preserves Responses-native tool_search tools", () => {
    const tools = normalizeTools([
      {
        type: "tool_search",
        execution: "sync",
        description: "Discover deferred tools",
        parameters: { type: "object", properties: {} },
      },
      {
        type: "namespace",
        name: "codex_app",
        description: "app tools",
        tools: [
          {
            type: "function",
            name: "automation_update",
            description: "automation",
            parameters: { type: "object", properties: {} },
            defer_loading: true,
          },
        ],
      },
      {
        type: "function",
        name: "plain_fn",
        description: "plain",
        parameters: { type: "object", properties: {} },
      },
    ]);

    expect(tools.map((tool) => `${tool.type}:${tool.name || ""}`)).toEqual([
      "tool_search:",
      "namespace:codex_app",
      "function:plain_fn",
    ]);
  });

  it("preserves hosted Responses tools", () => {
    const tools = normalizeTools([
      { type: "web_search", search_context_size: "medium" },
      { type: "image_generation", size: "1024x1024" },
      { type: "mcp", server_label: "docs", server_url: "https://example.com/mcp" },
      { type: "local_shell" },
      { type: "code_interpreter", container: { type: "auto" } },
      { type: "computer", display_width: 1024, display_height: 768, environment: "browser" },
    ]);

    expect(tools.map((tool) => tool.type)).toEqual([
      "web_search",
      "image_generation",
      "mcp",
      "local_shell",
      "code_interpreter",
      "computer",
    ]);
  });

  it("preserves custom freeform tools with format payloads", () => {
    const tools = normalizeTools([
      {
        type: "custom",
        name: "apply_patch",
        description: "patch",
        format: { type: "grammar", syntax: "lark", definition: "start: /.+/" },
      },
    ]);

    expect(tools).toEqual([
      {
        type: "custom",
        name: "apply_patch",
        description: "patch",
        format: { type: "grammar", syntax: "lark", definition: "start: /.+/" },
      },
    ]);
  });
});