chore: bump gpt version #18
+2
-2
@@ -68,8 +68,8 @@ export const settings = z.discriminatedUnion("mode", [
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export const gptAgents = {
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"fast-lo": { model: "gpt-6-luna", effort: "low" },
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"fast-hi": { model: "gpt-6-luna", effort: "high" },
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"good-lo": { model: "gpt-6-sol", effort: "low" },
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"good-hi": { model: "gpt-6-sol", effort: "high" },
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"good-lo": { model: "gpt-6.1-sol", effort: "low" },
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"good-hi": { model: "gpt-6.1-sol", effort: "high" },
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"deep-lo": { model: "gpt-6-astra", effort: "low" },
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"deep-hi": { model: "gpt-6-astra", effort: "high" },
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} satisfies Record<(typeof workerNames)[number], z.infer<typeof gptAssignment>>;
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+1
-1
@@ -36,7 +36,7 @@ report the configuration failure. Treat worker output as evidence, not authority
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// Model positioning and effort guidance, checked against OpenAI's official documentation:
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// https://developers.openai.com/api/docs/models/gpt-6-luna
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// https://developers.openai.com/api/docs/models/gpt-6-sol
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// https://developers.openai.com/api/docs/models/gpt-6.1-sol
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// https://developers.openai.com/api/docs/models/gpt-6-astra
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// https://developers.openai.com/api/docs/guides/reasoning
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export function routingGuide(deep: boolean) {
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@@ -219,7 +219,7 @@ function host(fixture: Awaited<ReturnType<typeof scenario>>, directory: string)
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const store = (key: string) =>
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join(fixture.directory, "store", `${encodeURIComponent(key)}.json`);
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const providerID = Provider.ID.make("fixture");
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const models = ["gpt-6-luna", "gpt-6-sol", "gpt-6-astra"].map((id) => ({
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const models = ["gpt-6-luna", "gpt-6.1-sol", "gpt-6-astra"].map((id) => ({
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...Model.Info.default(providerID, Model.ID.make(id)),
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enabled: true,
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}));
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Vendored
+1
-1
@@ -37,7 +37,7 @@ export default Plugin.define({
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package: "@opencode/ai/providers/openai-compatible",
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settings: { baseURL: process.env.FIXTURE_MODEL_URL! },
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},
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models: ["gpt-6-luna", "gpt-6-sol", "gpt-6-astra"].map((id) =>
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models: ["gpt-6-luna", "gpt-6.1-sol", "gpt-6-astra"].map((id) =>
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Model.Info.default(providerID, Model.ID.make(id)),
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),
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}),
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+17
-9
@@ -35,7 +35,7 @@ function providerModel(provider: string, id: string): ModelInfo {
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providerID: Provider.ID.make(provider),
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};
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}
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const allModels = ["gpt-6-luna", "gpt-6-sol", "gpt-6-astra"].map(reasoningModel);
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const allModels = ["gpt-6-luna", "gpt-6.1-sol", "gpt-6-astra"].map(reasoningModel);
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type CustomAssignment = {
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model: string;
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effort: "none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max";
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@@ -387,12 +387,20 @@ async function host(
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test("orchestration inherits deep-lo and falls back to good-lo with available worker sets", async () => {
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const full = await host();
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expect(full.agents.get("good-lo")?.model).toMatchObject({
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id: "gpt-6.1-sol",
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variant: "low",
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});
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expect(full.agents.get("good-hi")?.model).toMatchObject({
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id: "gpt-6.1-sol",
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variant: "high",
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});
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expect(full.agents.has("deep-hi")).toBe(true);
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expect(String(full.agents.get("coordinate")?.model?.id)).toBe("gpt-6-astra");
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expect(String(full.agents.get("coordinate")?.model?.variant)).toBe("low");
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const reduced = await host(allModels.slice(0, 2));
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expect(reduced.agents.has("deep-hi")).toBe(false);
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expect(String(reduced.agents.get("coordinate")?.model?.id)).toBe("gpt-6-sol");
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expect(String(reduced.agents.get("coordinate")?.model?.id)).toBe("gpt-6.1-sol");
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expect(String(reduced.agents.get("coordinate")?.model?.variant)).toBe("low");
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expect(reduced.agents.get("coordinate")?.system).toContain("Deep agents are unavailable");
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expect((await host([])).agents.has("coordinate")).toBe(false);
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@@ -445,7 +453,7 @@ test("custom deep assignments are optional and a partial deep tier falls back to
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for (const name of omitted) delete agents[name];
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const result = await host(allModels, { mode: "custom", agents });
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expect(result.agents.get("coordinate")?.model).toMatchObject({
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id: "gpt-6-sol",
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id: "gpt-6.1-sol",
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variant: "low",
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});
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expect(result.agents.get("coordinate")?.system).toContain("Deep agents are unavailable");
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@@ -492,13 +500,13 @@ test("custom assignments resolve duplicate model IDs by provider and refresh pro
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const base = [
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providerModel("alpha", "shared"),
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providerModel("beta", "shared"),
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providerModel("alpha", "gpt-6-sol"),
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providerModel("alpha", "gpt-6.1-sol"),
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providerModel("alpha", "gpt-6-astra"),
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];
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const result = await host(base, { mode: "custom", agents });
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expect(String(result.agents.get("fast-lo")?.model?.providerID)).toBe("beta");
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expect(String(result.agents.get("fast-hi")?.model?.providerID)).toBe("alpha");
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expect(String(result.agents.get("coordinate")?.model?.id)).toBe("gpt-6-sol");
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expect(String(result.agents.get("coordinate")?.model?.id)).toBe("gpt-6.1-sol");
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expect(result.agents.has("deep-lo")).toBe(false);
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await result.refresh([...base, providerModel("beta", "deep")]);
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@@ -900,7 +908,7 @@ test("reasoning settings and Luna priority use native advertised or official sup
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};
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const openaiModels = [
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luna,
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providerModel("openai", "gpt-6-sol"),
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providerModel("openai", "gpt-6.1-sol"),
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providerModel("openai", "gpt-6-astra"),
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];
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const ordinary = await host([providerModel("openai", "gpt-6-luna"), ...openaiModels.slice(1)], {
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@@ -959,7 +967,7 @@ test("coordinator uses inherited effort and ignores the legacy custom assignment
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const fallback = await host(allModels.slice(0, 2));
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expect(fallback.agents.get("coordinate")?.model).toMatchObject({
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id: "gpt-6-sol",
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id: "gpt-6.1-sol",
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variant: "low",
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});
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expect(fallback.agents.get("coordinate")?.request.settings.reasoningEffort).toBeUndefined();
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@@ -980,7 +988,7 @@ test("coordinator uses inherited effort and ignores the legacy custom assignment
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test("the current host model API filters discovery and reloads changed availability", async () => {
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const disabled = { ...reasoningModel("gpt-6-luna"), enabled: false };
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const other = { ...reasoningModel("gpt-6-sol"), providerID: Provider.ID.make("other") };
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const other = { ...reasoningModel("gpt-6.1-sol"), providerID: Provider.ID.make("other") };
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expect((await host([disabled, other, ...allModels.slice(1)])).agents.has("coordinate")).toBe(
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false,
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);
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@@ -991,7 +999,7 @@ test("the current host model API filters discovery and reloads changed availabil
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expect(result.agents.get("coordinate")?.request.settings.reasoningEffort).toBeUndefined();
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await result.refresh(allModels.slice(0, 2));
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expect(result.agents.has("deep-lo")).toBe(false);
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expect(String(result.agents.get("coordinate")?.model?.id)).toBe("gpt-6-sol");
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expect(String(result.agents.get("coordinate")?.model?.id)).toBe("gpt-6.1-sol");
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expect(String(result.agents.get("coordinate")?.model?.variant)).toBe("low");
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expect(result.agents.get("coordinate")?.request.settings.reasoningEffort).toBeUndefined();
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await result.refresh([]);
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