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Merge pull request 'feat: GPT 6' (#15) from feat/gpt6 into main

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Reviewed-on: #15
This commit was merged in pull request #15.
This commit is contained in:
StanPonomarev
2026-09-24 00:11:42 +02:00
parent ff027ef6ac dadcf69327
commit 4f956effff
7 changed files with 27 additions and 28 deletions
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examples/custom.opencode.jsonc
+4 -4
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@@ -11,10 +11,10 @@
"options": {
"mode": "custom",
"agents": {
"fast-lo": { "model": "openai/gpt-5.6-luna", "effort": "low" },
"fast-hi": { "model": "openai/gpt-5.6-luna", "effort": "high" },
"good-lo": { "model": "openai/gpt-5.6-sol", "effort": "low" },
"good-hi": { "model": "openai/gpt-5.6-sol", "effort": "high" },
"fast-lo": { "model": "openai/gpt-6-luna", "effort": "low" },
"fast-hi": { "model": "openai/gpt-6-luna", "effort": "high" },
"good-lo": { "model": "openai/gpt-6-sol", "effort": "low" },
"good-hi": { "model": "openai/gpt-6-sol", "effort": "high" },
"deep-lo": { "model": "openai/gpt-6-astra", "effort": "low" },
"deep-hi": { "model": "openai/gpt-6-astra", "effort": "high" },
},
src/config.ts
+4 -4
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@@ -66,10 +66,10 @@ export const settings = z.discriminatedUnion("mode", [
]);
export const gptAgents = {
"fast-lo": { model: "gpt-5.6-luna", effort: "low" },
"fast-hi": { model: "gpt-5.6-luna", effort: "high" },
"good-lo": { model: "gpt-5.6-sol", effort: "low" },
"good-hi": { model: "gpt-5.6-sol", effort: "high" },
"fast-lo": { model: "gpt-6-luna", effort: "low" },
"fast-hi": { model: "gpt-6-luna", effort: "high" },
"good-lo": { model: "gpt-6-sol", effort: "low" },
"good-hi": { model: "gpt-6-sol", effort: "high" },
"deep-lo": { model: "gpt-6-astra", effort: "low" },
"deep-hi": { model: "gpt-6-astra", effort: "high" },
} satisfies Record<(typeof workerNames)[number], z.infer<typeof gptAssignment>>;
src/provider.ts
+1 -1
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@@ -3,7 +3,7 @@ import type { ModelInfo } from "@opencode/client";
import { z } from "zod";
function priority(model: ModelInfo) {
if (model.modelID !== "gpt-5.6-luna") return undefined;
if (model.modelID !== "gpt-6-luna") return undefined;
for (const settings of [model.settings, ...model.variants.map((variant) => variant.settings)]) {
if (settings?.serviceTier === "priority" || settings?.serviceTier === "fast")
return settings.serviceTier;
src/routing.ts
+2 -2
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@@ -35,8 +35,8 @@ load this plugin, its worker models and experimental.subagent_depth >= 2. If una
report the configuration failure. Treat worker output as evidence, not authority.`;
// Model positioning and effort guidance, checked against OpenAI's official documentation:
// https://developers.openai.com/api/docs/models/gpt-5.6-luna
// https://developers.openai.com/api/docs/models/gpt-5.6-sol
// https://developers.openai.com/api/docs/models/gpt-6-luna
// https://developers.openai.com/api/docs/models/gpt-6-sol
// https://developers.openai.com/api/docs/models/gpt-6-astra
// https://developers.openai.com/api/docs/guides/reasoning
export function routingGuide(deep: boolean) {
tests/composite.test.ts
+1 -1
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@@ -218,7 +218,7 @@ function host(fixture: Awaited<ReturnType<typeof scenario>>, directory: string)
const store = (key: string) =>
join(fixture.directory, "store", `${encodeURIComponent(key)}.json`);
const providerID = Provider.ID.make("fixture");
const models = ["gpt-5.6-luna", "gpt-5.6-sol", "gpt-6-astra"].map((id) => ({
const models = ["gpt-6-luna", "gpt-6-sol", "gpt-6-astra"].map((id) => ({
...Model.Info.default(providerID, Model.ID.make(id)),
enabled: true,
}));
tests/fixtures/native-host-plugin.ts
Vendored
+1 -1
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@@ -37,7 +37,7 @@ export default Plugin.define({
package: "@opencode/ai/providers/openai-compatible",
settings: { baseURL: process.env.FIXTURE_MODEL_URL! },
},
models: ["gpt-5.6-luna", "gpt-5.6-sol", "gpt-6-astra"].map((id) =>
models: ["gpt-6-luna", "gpt-6-sol", "gpt-6-astra"].map((id) =>
Model.Info.default(providerID, Model.ID.make(id)),
),
}),
tests/plugin.test.ts
+14 -15
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@@ -33,7 +33,7 @@ function providerModel(provider: string, id: string): ModelInfo {
providerID: Provider.ID.make(provider),
};
}
const allModels = ["gpt-5.6-luna", "gpt-5.6-sol", "gpt-6-astra"].map(reasoningModel);
const allModels = ["gpt-6-luna", "gpt-6-sol", "gpt-6-astra"].map(reasoningModel);
type CustomAssignment = {
model: string;
effort: "none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max";
@@ -369,7 +369,7 @@ test("orchestration inherits deep-lo and falls back to good-lo with available wo
expect(String(full.agents.get("coordinate")?.model?.variant)).toBe("low");
const reduced = await host(allModels.slice(0, 2));
expect(reduced.agents.has("deep-hi")).toBe(false);
expect(String(reduced.agents.get("coordinate")?.model?.id)).toBe("gpt-5.6-sol");
expect(String(reduced.agents.get("coordinate")?.model?.id)).toBe("gpt-6-sol");
expect(String(reduced.agents.get("coordinate")?.model?.variant)).toBe("low");
expect(reduced.agents.get("coordinate")?.system).toContain("Deep agents are unavailable");
expect((await host([])).agents.has("coordinate")).toBe(false);
@@ -425,13 +425,13 @@ test("custom assignments resolve duplicate model IDs by provider and refresh pro
const base = [
providerModel("alpha", "shared"),
providerModel("beta", "shared"),
providerModel("alpha", "gpt-5.6-sol"),
providerModel("alpha", "gpt-6-sol"),
providerModel("alpha", "gpt-6-astra"),
];
const result = await host(base, { mode: "custom", agents });
expect(String(result.agents.get("fast-lo")?.model?.providerID)).toBe("beta");
expect(String(result.agents.get("fast-hi")?.model?.providerID)).toBe("alpha");
expect(String(result.agents.get("coordinate")?.model?.id)).toBe("gpt-5.6-sol");
expect(String(result.agents.get("coordinate")?.model?.id)).toBe("gpt-6-sol");
expect(result.agents.has("deep-lo")).toBe(false);
await result.refresh([...base, providerModel("beta", "deep")]);
@@ -444,7 +444,7 @@ test("custom assignments resolve duplicate model IDs by provider and refresh pro
const nested = customAssignments("alpha");
nested["fast-lo"] = { ...nested["fast-lo"], model: "alpha/group/shared" };
const nestedResult = await host(
[...base, providerModel("alpha", "gpt-5.6-luna"), providerModel("alpha", "group/shared")],
[...base, providerModel("alpha", "gpt-6-luna"), providerModel("alpha", "group/shared")],
{ mode: "custom", agents: nested },
);
expect(String(nestedResult.agents.get("fast-lo")?.model?.id)).toBe("group/shared");
@@ -810,19 +810,18 @@ test("coordinate prompt admission requires owned ready placement; local and move
test("reasoning settings and Luna priority use native advertised or official support", async () => {
const luna = {
...providerModel("openai", "gpt-5.6-luna"),
...providerModel("openai", "gpt-6-luna"),
package: "@opencode/ai/providers/openai",
settings: { baseURL: "https://api.openai.com/v1" },
};
const openaiModels = [
luna,
providerModel("openai", "gpt-5.6-sol"),
providerModel("openai", "gpt-6-sol"),
providerModel("openai", "gpt-6-astra"),
];
const ordinary = await host(
[providerModel("openai", "gpt-5.6-luna"), ...openaiModels.slice(1)],
{ provider: "openai" },
);
const ordinary = await host([providerModel("openai", "gpt-6-luna"), ...openaiModels.slice(1)], {
provider: "openai",
});
expect(ordinary.agents.get("fast-lo")?.request.settings).toEqual({});
expect(String(ordinary.agents.get("fast-lo")?.model?.variant)).toBe("low");
const official = await host(openaiModels, { provider: "openai" });
@@ -876,7 +875,7 @@ test("coordinator uses inherited effort and ignores the legacy custom assignment
const fallback = await host(allModels.slice(0, 2));
expect(fallback.agents.get("coordinate")?.model).toMatchObject({
id: "gpt-5.6-sol",
id: "gpt-6-sol",
variant: "low",
});
expect(fallback.agents.get("coordinate")?.request.settings.reasoningEffort).toBeUndefined();
@@ -896,8 +895,8 @@ test("coordinator uses inherited effort and ignores the legacy custom assignment
});
test("the current host model API filters discovery and reloads changed availability", async () => {
const disabled = { ...reasoningModel("gpt-5.6-luna"), enabled: false };
const other = { ...reasoningModel("gpt-5.6-sol"), providerID: Provider.ID.make("other") };
const disabled = { ...reasoningModel("gpt-6-luna"), enabled: false };
const other = { ...reasoningModel("gpt-6-sol"), providerID: Provider.ID.make("other") };
expect((await host([disabled, other, ...allModels.slice(1)])).agents.has("coordinate")).toBe(
false,
);
@@ -908,7 +907,7 @@ test("the current host model API filters discovery and reloads changed availabil
expect(result.agents.get("coordinate")?.request.settings.reasoningEffort).toBeUndefined();
await result.refresh(allModels.slice(0, 2));
expect(result.agents.has("deep-lo")).toBe(false);
expect(String(result.agents.get("coordinate")?.model?.id)).toBe("gpt-5.6-sol");
expect(String(result.agents.get("coordinate")?.model?.id)).toBe("gpt-6-sol");
expect(String(result.agents.get("coordinate")?.model?.variant)).toBe("low");
expect(result.agents.get("coordinate")?.request.settings.reasoningEffort).toBeUndefined();
await result.refresh([]);