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https://github.com/diegosouzapw/OmniRoute.git
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61bba3e3ca
Integrated into release/v3.8.44 — converts Chat Completions json_schema response_format → Responses API text.format on the Codex path, and preserves existing text.format through verbosity normalization. Base redirected main→release; the openai-responses.ts split that landed this cycle was reconciled by re-applying the delta onto openai-responses/toResponses.ts. Validated locally: 48 translator-openai-responses-req + 8 codex-verbosity tests green. Co-authored-by: diegosouzapw <diegosouza.pw@gmail.com>
67 lines
2.8 KiB
TypeScript
67 lines
2.8 KiB
TypeScript
/**
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* Codex verbosity normalization — `normalizeCodexVerbosity`.
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*
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* GPT-5 verbosity is `verbosity` on Chat Completions and `text.verbosity` on the Responses
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* API. The CodexExecutor allowlist drops `text`, so translated requests lose the hint. These
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* tests pin the fold into a single validated `text:{verbosity}` (or its removal when invalid),
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* which — paired with `text` added to the allowlist — lets verbosity reach the Codex 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 { normalizeCodexVerbosity } from "../../open-sse/services/codexVerbosity.ts";
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test("chat-style top-level verbosity is lifted to text.verbosity and dropped", () => {
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const body: Record<string, unknown> = { model: "gpt-5.5", verbosity: "low", input: [] };
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normalizeCodexVerbosity(body);
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assert.deepEqual(body.text, { verbosity: "low" });
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assert.equal(body.verbosity, undefined);
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});
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test("existing Responses text.verbosity is preserved", () => {
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const body: Record<string, unknown> = { text: { verbosity: "high" }, input: [] };
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normalizeCodexVerbosity(body);
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assert.deepEqual(body.text, { verbosity: "high" });
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});
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test("chat-style verbosity takes precedence when both shapes are present", () => {
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const body: Record<string, unknown> = { verbosity: "medium", text: { verbosity: "high" } };
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normalizeCodexVerbosity(body);
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assert.deepEqual(body.text, { verbosity: "medium" });
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assert.equal(body.verbosity, undefined);
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});
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test("invalid verbosity is dropped and text removed", () => {
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const body: Record<string, unknown> = { verbosity: "ultra", input: [] };
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normalizeCodexVerbosity(body);
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assert.equal(body.text, undefined);
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assert.equal(body.verbosity, undefined);
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});
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test("no verbosity + Responses text.format is preserved", () => {
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const format = { type: "json_schema", name: "schema", schema: { type: "object" } };
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const body: Record<string, unknown> = { text: { format }, input: [] };
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normalizeCodexVerbosity(body);
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assert.deepEqual(body.text, { format });
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});
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test("verbosity is merged with existing Responses text.format", () => {
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const format = { type: "json_schema", name: "schema", schema: { type: "object" } };
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const body: Record<string, unknown> = { verbosity: "low", text: { format }, input: [] };
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normalizeCodexVerbosity(body);
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assert.deepEqual(body.text, { format, verbosity: "low" });
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assert.equal(body.verbosity, undefined);
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});
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test("verbosity is normalized case-insensitively", () => {
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const body: Record<string, unknown> = { verbosity: "HIGH" };
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normalizeCodexVerbosity(body);
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assert.deepEqual(body.text, { verbosity: "high" });
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});
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test("body without any verbosity is left without a text field", () => {
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const body: Record<string, unknown> = { model: "gpt-5.5", input: [] };
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normalizeCodexVerbosity(body);
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assert.equal(body.text, undefined);
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assert.equal(body.model, "gpt-5.5");
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});
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