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| 1 | +/** |
| 2 | + * Tests for OpenAiModel interface |
| 3 | + * VAP-11729: Update server-sdk-typescript SDK with OpenAI spec updates |
| 4 | + */ |
| 5 | +import { describe, it, expect } from "vitest"; |
| 6 | +import type { OpenAiModel } from "../../../src/api/types/OpenAiModel.js"; |
| 7 | +import { OpenAiModelReasoningEffort } from "../../../src/api/types/OpenAiModelReasoningEffort.js"; |
| 8 | + |
| 9 | +describe("OpenAiModel", () => { |
| 10 | + describe("new optional parameters", () => { |
| 11 | + it("should allow creating a model config with seed parameter", () => { |
| 12 | + const model: Partial<OpenAiModel> = { |
| 13 | + seed: 42, |
| 14 | + }; |
| 15 | + |
| 16 | + expect(model.seed).toBe(42); |
| 17 | + }); |
| 18 | + |
| 19 | + it("should allow creating a model config with topP parameter", () => { |
| 20 | + const model: Partial<OpenAiModel> = { |
| 21 | + topP: 0.9, |
| 22 | + }; |
| 23 | + |
| 24 | + expect(model.topP).toBe(0.9); |
| 25 | + }); |
| 26 | + |
| 27 | + it("should allow creating a model config with frequencyPenalty parameter", () => { |
| 28 | + const model: Partial<OpenAiModel> = { |
| 29 | + frequencyPenalty: 0.5, |
| 30 | + }; |
| 31 | + |
| 32 | + expect(model.frequencyPenalty).toBe(0.5); |
| 33 | + }); |
| 34 | + |
| 35 | + it("should allow creating a model config with presencePenalty parameter", () => { |
| 36 | + const model: Partial<OpenAiModel> = { |
| 37 | + presencePenalty: 0.3, |
| 38 | + }; |
| 39 | + |
| 40 | + expect(model.presencePenalty).toBe(0.3); |
| 41 | + }); |
| 42 | + |
| 43 | + it("should allow creating a model config with logprobs parameter", () => { |
| 44 | + const model: Partial<OpenAiModel> = { |
| 45 | + logprobs: true, |
| 46 | + }; |
| 47 | + |
| 48 | + expect(model.logprobs).toBe(true); |
| 49 | + }); |
| 50 | + |
| 51 | + it("should allow creating a model config with topLogprobs parameter", () => { |
| 52 | + const model: Partial<OpenAiModel> = { |
| 53 | + logprobs: true, |
| 54 | + topLogprobs: 5, |
| 55 | + }; |
| 56 | + |
| 57 | + expect(model.topLogprobs).toBe(5); |
| 58 | + }); |
| 59 | + |
| 60 | + it("should allow creating a model config with parallelToolCalls parameter", () => { |
| 61 | + const model: Partial<OpenAiModel> = { |
| 62 | + parallelToolCalls: false, |
| 63 | + }; |
| 64 | + |
| 65 | + expect(model.parallelToolCalls).toBe(false); |
| 66 | + }); |
| 67 | + |
| 68 | + it("should allow creating a model config with reasoningEffort parameter", () => { |
| 69 | + const model: Partial<OpenAiModel> = { |
| 70 | + reasoningEffort: OpenAiModelReasoningEffort.High, |
| 71 | + }; |
| 72 | + |
| 73 | + expect(model.reasoningEffort).toBe("high"); |
| 74 | + }); |
| 75 | + }); |
| 76 | + |
| 77 | + describe("parameter validation (conceptual)", () => { |
| 78 | + it("should accept valid topP values (0 to 1)", () => { |
| 79 | + const validValues = [0, 0.1, 0.5, 0.9, 1]; |
| 80 | + validValues.forEach((value) => { |
| 81 | + const model: Partial<OpenAiModel> = { topP: value }; |
| 82 | + expect(model.topP).toBe(value); |
| 83 | + }); |
| 84 | + }); |
| 85 | + |
| 86 | + it("should accept valid frequency_penalty values (-2.0 to 2.0)", () => { |
| 87 | + const validValues = [-2.0, -1.0, 0, 1.0, 2.0]; |
| 88 | + validValues.forEach((value) => { |
| 89 | + const model: Partial<OpenAiModel> = { frequencyPenalty: value }; |
| 90 | + expect(model.frequencyPenalty).toBe(value); |
| 91 | + }); |
| 92 | + }); |
| 93 | + |
| 94 | + it("should accept valid presence_penalty values (-2.0 to 2.0)", () => { |
| 95 | + const validValues = [-2.0, -1.0, 0, 1.0, 2.0]; |
| 96 | + validValues.forEach((value) => { |
| 97 | + const model: Partial<OpenAiModel> = { presencePenalty: value }; |
| 98 | + expect(model.presencePenalty).toBe(value); |
| 99 | + }); |
| 100 | + }); |
| 101 | + |
| 102 | + it("should accept valid topLogprobs values (0 to 20)", () => { |
| 103 | + const validValues = [0, 5, 10, 15, 20]; |
| 104 | + validValues.forEach((value) => { |
| 105 | + const model: Partial<OpenAiModel> = { topLogprobs: value }; |
| 106 | + expect(model.topLogprobs).toBe(value); |
| 107 | + }); |
| 108 | + }); |
| 109 | + }); |
| 110 | + |
| 111 | + describe("backward compatibility", () => { |
| 112 | + it("should maintain existing temperature parameter", () => { |
| 113 | + const model: Partial<OpenAiModel> = { |
| 114 | + temperature: 0.7, |
| 115 | + }; |
| 116 | + |
| 117 | + expect(model.temperature).toBe(0.7); |
| 118 | + }); |
| 119 | + |
| 120 | + it("should maintain existing maxTokens parameter", () => { |
| 121 | + const model: Partial<OpenAiModel> = { |
| 122 | + maxTokens: 1000, |
| 123 | + }; |
| 124 | + |
| 125 | + expect(model.maxTokens).toBe(1000); |
| 126 | + }); |
| 127 | + |
| 128 | + it("should allow combining old and new parameters", () => { |
| 129 | + const model: Partial<OpenAiModel> = { |
| 130 | + temperature: 0.7, |
| 131 | + maxTokens: 1000, |
| 132 | + topP: 0.9, |
| 133 | + frequencyPenalty: 0.5, |
| 134 | + presencePenalty: 0.3, |
| 135 | + seed: 42, |
| 136 | + logprobs: true, |
| 137 | + topLogprobs: 5, |
| 138 | + parallelToolCalls: true, |
| 139 | + reasoningEffort: OpenAiModelReasoningEffort.Medium, |
| 140 | + }; |
| 141 | + |
| 142 | + expect(model.temperature).toBe(0.7); |
| 143 | + expect(model.maxTokens).toBe(1000); |
| 144 | + expect(model.topP).toBe(0.9); |
| 145 | + expect(model.frequencyPenalty).toBe(0.5); |
| 146 | + expect(model.presencePenalty).toBe(0.3); |
| 147 | + expect(model.seed).toBe(42); |
| 148 | + expect(model.logprobs).toBe(true); |
| 149 | + expect(model.topLogprobs).toBe(5); |
| 150 | + expect(model.parallelToolCalls).toBe(true); |
| 151 | + expect(model.reasoningEffort).toBe("medium"); |
| 152 | + }); |
| 153 | + }); |
| 154 | + |
| 155 | + describe("reasoning models (o1, o3 series)", () => { |
| 156 | + it("should support reasoningEffort for o-series models", () => { |
| 157 | + const lowEffort: Partial<OpenAiModel> = { |
| 158 | + reasoningEffort: OpenAiModelReasoningEffort.Low, |
| 159 | + }; |
| 160 | + const mediumEffort: Partial<OpenAiModel> = { |
| 161 | + reasoningEffort: OpenAiModelReasoningEffort.Medium, |
| 162 | + }; |
| 163 | + const highEffort: Partial<OpenAiModel> = { |
| 164 | + reasoningEffort: OpenAiModelReasoningEffort.High, |
| 165 | + }; |
| 166 | + |
| 167 | + expect(lowEffort.reasoningEffort).toBe("low"); |
| 168 | + expect(mediumEffort.reasoningEffort).toBe("medium"); |
| 169 | + expect(highEffort.reasoningEffort).toBe("high"); |
| 170 | + }); |
| 171 | + }); |
| 172 | +}); |
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