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https://github.com/diegosouzapw/OmniRoute.git
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* fix(codex): preserve GPT-5.6 reasoning contract * fix(vscode): expose Responses text models * fix(codex): keep GPT-5.6 limits through discovery * fix(ci): extract isUsableChatModel helpers to satisfy complexity ratchet Splitting the supported_endpoints/output_modalities guard clauses into excludesChatAndResponsesEndpoints() / excludesTextOutputModality() drops isUsableChatModel's cyclomatic complexity from 16 to under the ratchet's max of 15 (complexity-ratchets gate: 2057 -> 2056, back at baseline). Behavior is unchanged; existing vscode/codex route tests cover it. Co-authored-by: diegosouzapw <diegosouza.pw@gmail.com> * fix(codex): merge capacity limits conservatively (smaller of live vs pinned wins) Resolve the #7012 catalog-merge policy collision: instead of the pinned GPT-5.6 contract always winning for a fixed set of model ids, capacity limits (inputTokenLimit/outputTokenLimit) now merge via mergeCapacityLimitConservatively — Math.min(pinned, live) when both are present, so OmniRoute never promises more context than the account can actually serve. All other overlapping fields still take the live value unconditionally. Guard tests cover both directions (pinned smaller wins / pinned larger loses) at the route level and via an isolated helper-level unit test. Co-authored-by: diegosouzapw <diegosouza.pw@gmail.com> --------- Co-authored-by: Xiangzhe <xz-dev@users.noreply.github.com> Co-authored-by: diegosouzapw <diegosouza.pw@gmail.com>
84 lines
2.5 KiB
TypeScript
84 lines
2.5 KiB
TypeScript
import test from "node:test";
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import assert from "node:assert/strict";
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import { CodexExecutor } from "../../open-sse/executors/codex.ts";
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import { openaiToOpenAIResponsesRequest } from "../../open-sse/translator/request/openai-responses/toResponses.ts";
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test("Chat-to-Codex translation preserves max only for GPT-5.6", () => {
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const executor = new CodexExecutor();
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const cases = [
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{ model: "gpt-5.6-sol", expectedEffort: "max" },
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{ model: "gpt-5.6-terra", expectedEffort: "max" },
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{ model: "gpt-5.6-luna", expectedEffort: "max" },
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{ model: "gpt-5.5", expectedEffort: "xhigh" },
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];
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for (const { model, expectedEffort } of cases) {
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const translated = openaiToOpenAIResponsesRequest(
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model,
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{
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model,
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messages: [{ role: "user", content: "test" }],
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reasoning_effort: "max",
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},
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true,
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{}
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);
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const result = executor.transformRequest(model, translated, true, {
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requestEndpointPath: "/chat/completions",
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});
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assert.equal(result.model, model);
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assert.equal(result.reasoning.effort, expectedEffort, model);
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assert.equal(result.reasoning_effort, undefined);
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}
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});
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test("CodexExecutor.transformRequest preserves max effort for GPT-5.6", () => {
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const executor = new CodexExecutor();
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const result = executor.transformRequest(
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"gpt-5.6-sol",
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{
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model: "gpt-5.6-sol",
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input: [],
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reasoning_effort: "max",
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},
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false,
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{ requestEndpointPath: "/responses" }
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);
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assert.equal(result.model, "gpt-5.6-sol");
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assert.equal(result.reasoning.effort, "max");
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assert.equal(result.reasoning_effort, undefined);
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});
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test("CodexExecutor.transformRequest maps GPT-5.6 ultra aliases to max wire effort", () => {
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const executor = new CodexExecutor();
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for (const model of ["gpt-5.6-sol-ultra", "gpt-5.6-terra-ultra"]) {
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const result = executor.transformRequest(model, { model, input: [] }, false, {
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requestEndpointPath: "/responses",
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});
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assert.equal(result.model, model.replace(/-ultra$/, ""));
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assert.equal(result.reasoning.effort, "max");
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}
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});
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test("CodexExecutor.transformRequest clamps Luna ultra requests to its max effort", () => {
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const executor = new CodexExecutor();
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const result = executor.transformRequest(
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"gpt-5.6-luna",
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{
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model: "gpt-5.6-luna",
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input: [],
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reasoning_effort: "ultra",
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},
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false,
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{ requestEndpointPath: "/responses" }
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);
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assert.equal(result.model, "gpt-5.6-luna");
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assert.equal(result.reasoning.effort, "max");
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});
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