wehub-resource-sync
69 lines
2.1 KiB
TypeScript
69 lines
2.1 KiB
TypeScript
/**
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* Verbosity mapping across the OpenAI Chat <-> Responses request translators.
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*
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* Chat Completions carries GPT-5 verbosity as top-level `verbosity`; the Responses API
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* nests it as `text.verbosity`. These tests pin both directions so the hint is not lost
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* when a request crosses formats (e.g. a Chat client routed to a Responses backend).
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*/
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import test from "node:test";
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import assert from "node:assert/strict";
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import {
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openaiToOpenAIResponsesRequest,
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openaiResponsesToOpenAIRequest,
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} from "../../open-sse/translator/request/openai-responses.ts";
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function asRecord(value: unknown): Record<string, unknown> {
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return value as Record<string, unknown>;
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}
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test("Chat -> Responses maps verbosity to text.verbosity", () => {
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const out = asRecord(
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openaiToOpenAIResponsesRequest(
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"gpt-5.5",
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{ model: "gpt-5.5", messages: [{ role: "user", content: "hi" }], verbosity: "low" },
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true,
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{}
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)
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);
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assert.deepEqual(out.text, { verbosity: "low" });
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assert.equal(out.verbosity, undefined);
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});
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test("Chat -> Responses ignores an invalid verbosity value", () => {
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const out = asRecord(
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openaiToOpenAIResponsesRequest(
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"gpt-5.5",
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{ model: "gpt-5.5", messages: [{ role: "user", content: "hi" }], verbosity: "loud" },
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true,
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{}
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)
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);
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assert.equal(out.text, undefined);
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});
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test("Responses -> Chat maps text.verbosity to top-level verbosity and drops text", () => {
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const out = asRecord(
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openaiResponsesToOpenAIRequest(
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"gpt-5.5",
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{ model: "gpt-5.5", input: [{ role: "user", content: "hi" }], text: { verbosity: "high" } },
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false,
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{}
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)
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);
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assert.equal(out.verbosity, "high");
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assert.equal(out.text, undefined);
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});
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test("Responses -> Chat drops a stray non-verbosity text wrapper", () => {
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const out = asRecord(
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openaiResponsesToOpenAIRequest(
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"gpt-5.5",
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{ model: "gpt-5.5", input: [{ role: "user", content: "hi" }], text: { format: { type: "json" } } },
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false,
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{}
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)
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);
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assert.equal(out.text, undefined);
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assert.equal(out.verbosity, undefined);
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});
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