Files
openclaw/extensions/github-copilot/models.test.ts

931 lines
31 KiB
TypeScript

// Github Copilot tests cover models plugin behavior.
import { expectDefined } from "@openclaw/normalization-core";
import { createProviderUsageFetch, makeResponse } from "openclaw/plugin-sdk/test-env";
import { describe, expect, it, vi } from "vitest";
import { CopilotRuntimeAuthError } from "./runtime-auth-error.js";
import { resolveCopilotRuntimeAuth } from "./runtime-auth.js";
import { fetchCopilotUsage } from "./usage.js";
vi.mock("openclaw/plugin-sdk/provider-model-shared", async (importOriginal) => ({
...(await importOriginal<typeof import("openclaw/plugin-sdk/provider-model-shared")>()),
normalizeModelCompat: (model: Record<string, unknown>) => model,
resolveProviderEndpoint: (baseUrl: string) => ({
baseUrl,
endpointClass: "custom",
warnings: [],
}),
}));
vi.mock("openclaw/plugin-sdk/state-paths", () => ({
resolveStateDir: () => "/tmp/openclaw-state",
}));
import type { ProviderResolveDynamicModelContext } from "openclaw/plugin-sdk/core";
import {
fetchCopilotModelCatalog,
resolveCopilotForwardCompatModel,
selectCopilotStarterModel,
} from "./models.js";
function createMockCtx(
modelId: string,
registryModels: Record<string, Record<string, unknown>> = {},
): ProviderResolveDynamicModelContext {
return {
modelId,
provider: "github-copilot",
config: {},
modelRegistry: {
find: (provider: string, id: string) => registryModels[`${provider}/${id}`] ?? null,
},
} as unknown as ProviderResolveDynamicModelContext;
}
function requireResolvedModel(ctx: ProviderResolveDynamicModelContext) {
const result = resolveCopilotForwardCompatModel(ctx);
if (!result) {
throw new Error(`expected model ${ctx.modelId} to resolve`);
}
return result;
}
describe("resolveCopilotForwardCompatModel", () => {
it("returns undefined for empty modelId", () => {
expect(resolveCopilotForwardCompatModel(createMockCtx(""))).toBeUndefined();
expect(resolveCopilotForwardCompatModel(createMockCtx(" "))).toBeUndefined();
});
it("returns undefined when model is already in registry", () => {
const ctx = createMockCtx("gpt-4o", {
"github-copilot/gpt-4o": { id: "gpt-4o", name: "gpt-4o" },
});
expect(resolveCopilotForwardCompatModel(ctx)).toBeUndefined();
});
it("uses static metadata for gpt-5.3-codex when not in registry", () => {
const result = requireResolvedModel(createMockCtx("gpt-5.3-codex"));
expect(result).toEqual({
id: "gpt-5.3-codex",
name: "GPT-5.3-Codex",
provider: "github-copilot",
api: "openai-responses",
reasoning: true,
input: ["text", "image"],
cost: { input: 1.75, output: 14, cacheRead: 0.175, cacheWrite: 0 },
contextWindow: 400_000,
contextTokens: 272_000,
maxTokens: 128_000,
});
});
it("uses curated static metadata for gpt-5.4 when not in registry", () => {
const result = requireResolvedModel(createMockCtx("gpt-5.4"));
expect(result).toEqual({
id: "gpt-5.4",
name: "GPT-5.4",
provider: "github-copilot",
api: "openai-responses",
reasoning: true,
input: ["text", "image"],
cost: { input: 2.5, output: 15, cacheRead: 0.25, cacheWrite: 0 },
contextWindow: 1_050_000,
maxTokens: 128_000,
});
});
it("uses static metadata for gpt-5.5 when live discovery rows are unavailable", () => {
const result = requireResolvedModel(createMockCtx("gpt-5.5"));
expect(result).toEqual({
id: "gpt-5.5",
name: "GPT-5.5",
provider: "github-copilot",
api: "openai-responses",
reasoning: true,
input: ["text", "image"],
cost: { input: 5, output: 30, cacheRead: 0.5, cacheWrite: 0 },
contextWindow: 1_050_000,
contextTokens: 272_000,
maxTokens: 128_000,
});
});
it("preserves static Anthropic thinking maps for legacy Claude Opus configured ids", () => {
const opus46 = requireResolvedModel(createMockCtx("claude-opus-4.6-1m"));
expect(opus46.thinkingLevelMap).toEqual({ xhigh: null, max: null });
const result = requireResolvedModel(createMockCtx("claude-opus-4.7-1m-internal"));
expect(result.thinkingLevelMap).toEqual({ xhigh: "xhigh", max: null });
expect(result.compat).toEqual({
supportedReasoningEfforts: ["low", "medium", "high", "xhigh"],
});
});
it("creates synthetic model for arbitrary unknown model ID", () => {
const ctx = createMockCtx("gpt-5.4-mini");
const result = requireResolvedModel(ctx);
expect(result.id).toBe("gpt-5.4-mini");
expect(result.name).toBe("gpt-5.4-mini");
expect((result as unknown as Record<string, unknown>).api).toBe("openai-responses");
expect((result as unknown as Record<string, unknown>).input).toEqual(["text", "image"]);
});
it("disables eager tool streaming for synthetic Copilot Claude 4.5 models", () => {
const result = requireResolvedModel(createMockCtx("claude-haiku-4.5"));
expect(result.api).toBe("anthropic-messages");
expect(result.compat).toEqual({ supportsEagerToolInputStreaming: false });
});
it("creates synthetic Gemini models with Chat Completions compatibility", () => {
const result = requireResolvedModel(createMockCtx("gemini-3.1-pro-preview"));
expect((result as unknown as Record<string, unknown>).api).toBe("openai-completions");
expect((result as unknown as Record<string, unknown>).compat).toEqual({
supportsStore: false,
supportsDeveloperRole: false,
supportsUsageInStreaming: false,
maxTokensField: "max_tokens",
});
});
it("infers reasoning=true for o1/o3 model IDs", () => {
for (const id of ["o1", "o3", "o3-mini", "o1-preview"]) {
const ctx = createMockCtx(id);
const result = requireResolvedModel(ctx);
expect((result as unknown as Record<string, unknown>).reasoning).toBe(true);
}
});
it("infers reasoning=true for Codex model IDs", () => {
for (const id of ["gpt-5.4-codex", "gpt-5.5-codex", "gpt-5.4-codex-mini", "gpt-5.3-codex"]) {
const ctx = createMockCtx(id);
const result = requireResolvedModel(ctx);
expect((result as unknown as Record<string, unknown>).reasoning).toBe(true);
}
});
it("sets reasoning=false for non-reasoning model IDs including mid-string o1/o3", () => {
for (const id of [
"gpt-5.4-mini",
"claude-sonnet-4.6",
"gpt-4o",
"mycodexmodel",
"audio-o1-hd",
"turbo-o3-voice",
]) {
const ctx = createMockCtx(id);
const result = requireResolvedModel(ctx);
expect((result as unknown as Record<string, unknown>).reasoning).toBe(false);
}
});
});
describe("fetchCopilotUsage", () => {
it("targets the public github.com usage endpoint by default", async () => {
let calledUrl: string | undefined;
const mockFetch = createProviderUsageFetch(async (url) => {
calledUrl = url;
return makeResponse(200, { copilot_plan: "pro" });
});
await fetchCopilotUsage("token", 5000, mockFetch);
expect(calledUrl).toBe("https://api.github.com/copilot_internal/user");
});
it("routes usage through the tenant host for *.ghe.com domains", async () => {
let calledUrl: string | undefined;
const mockFetch = createProviderUsageFetch(async (url) => {
calledUrl = url;
return makeResponse(200, { copilot_plan: "business" });
});
await fetchCopilotUsage("token", 5000, mockFetch, "acme.ghe.com");
expect(calledUrl).toBe("https://api.acme.ghe.com/copilot_internal/user");
});
it("returns HTTP errors for failed requests", async () => {
const mockFetch = createProviderUsageFetch(async () => makeResponse(500, "boom"));
const result = await fetchCopilotUsage("token", 5000, mockFetch);
expect(result.error).toBe("HTTP 500");
expect(result.windows).toHaveLength(0);
});
it("cancels failed response bodies", async () => {
let canceled = false;
const body = new ReadableStream({
cancel() {
canceled = true;
throw new Error("stream already closed");
},
});
const mockFetch = createProviderUsageFetch(async () => new Response(body, { status: 500 }));
const result = await fetchCopilotUsage("token", 5000, mockFetch);
expect(result.error).toBe("HTTP 500");
expect(canceled).toBe(true);
});
it("parses premium/chat usage from remaining percentages", async () => {
const mockFetch = createProviderUsageFetch(async (_url, init) => {
const headers = (init?.headers as Record<string, string> | undefined) ?? {};
expect(headers.Authorization).toBe("token token");
expect(headers["X-Github-Api-Version"]).toBe("2025-04-01");
return makeResponse(200, {
quota_snapshots: {
premium_interactions: { percent_remaining: 20 },
chat: { percent_remaining: 75 },
},
copilot_plan: "pro",
});
});
const result = await fetchCopilotUsage("token", 5000, mockFetch);
expect(result.plan).toBe("pro");
expect(result.windows).toEqual([
{ label: "Premium", usedPercent: 80 },
{ label: "Chat", usedPercent: 25 },
]);
});
it("defaults missing snapshot values and clamps invalid remaining percentages", async () => {
const mockFetch = createProviderUsageFetch(async () =>
makeResponse(200, {
quota_snapshots: {
premium_interactions: { percent_remaining: null },
chat: { percent_remaining: 140 },
},
}),
);
const result = await fetchCopilotUsage("token", 5000, mockFetch);
expect(result.windows).toEqual([
{ label: "Premium", usedPercent: 100 },
{ label: "Chat", usedPercent: 0 },
]);
expect(result.plan).toBeUndefined();
});
it("returns an empty window list when quota snapshots are missing", async () => {
const mockFetch = createProviderUsageFetch(async () =>
makeResponse(200, {
copilot_plan: "free",
}),
);
const result = await fetchCopilotUsage("token", 5000, mockFetch);
expect(result).toEqual({
provider: "github-copilot",
displayName: "Copilot",
windows: [],
plan: "free",
});
});
it.each([
["null", null],
["an array", []],
])("returns an empty window list for a non-object %s payload", async (_label, payload) => {
const mockFetch = createProviderUsageFetch(async () => makeResponse(200, payload));
const result = await fetchCopilotUsage("token", 5000, mockFetch);
expect(result).toEqual({
provider: "github-copilot",
displayName: "Copilot",
windows: [],
plan: undefined,
});
});
it("bounds the usage read and cancels the stream when the body exceeds the JSON byte cap", async () => {
// Larger than the shared 16 MiB readProviderJsonResponse cap so the bounded reader cancels the
// stream mid-flight; if the cap were removed the unbounded res.json() would buffer the whole body.
const ONE_MIB = 1024 * 1024;
const TOTAL_CHUNKS = 32; // 32 MiB advertised body, double the cap.
const chunk = new Uint8Array(ONE_MIB);
let bytesPulled = 0;
let canceled = false;
const makeOversizedJsonResponse = (): Response => {
let pulled = 0;
const body = new ReadableStream<Uint8Array>({
pull(controller) {
if (pulled >= TOTAL_CHUNKS) {
controller.close();
return;
}
pulled += 1;
bytesPulled += chunk.length;
controller.enqueue(chunk);
},
cancel() {
canceled = true;
},
});
return new Response(body, {
status: 200,
headers: { "Content-Type": "application/json" },
});
};
const mockFetch = createProviderUsageFetch(async () => makeOversizedJsonResponse());
await expect(fetchCopilotUsage("token", 5000, mockFetch)).rejects.toThrow(
/github-copilot-usage: JSON response exceeds/,
);
// The bounded reader cancels the body and never pulls the full advertised 32 MiB stream.
expect(canceled).toBe(true);
expect(bytesPulled).toBeLessThan(TOTAL_CHUNKS * ONE_MIB);
});
});
describe("github-copilot runtime auth", () => {
it("validates and preserves the source token while resolving the account API endpoint", async () => {
const fetchImpl = vi
.fn()
.mockResolvedValue(
new Response(
JSON.stringify({ endpoints: { api: "https://api.individual.githubcopilot.com/" } }),
{ status: 200, headers: { "content-type": "application/json" } },
),
);
const auth = await resolveCopilotRuntimeAuth({
githubToken: "github-source-token",
fetchImpl: fetchImpl as typeof fetch,
});
expect(auth).toEqual({
apiKey: "github-source-token",
baseUrl: "https://api.individual.githubcopilot.com",
source: "validated:https://api.github.com/copilot_internal/user",
});
expect(fetchImpl).toHaveBeenCalledWith(
"https://api.github.com/copilot_internal/user",
expect.objectContaining({
method: "GET",
headers: {
Accept: "application/json",
Authorization: "Bearer github-source-token",
},
}),
);
});
it("accepts an account endpoint under the configured data-residency tenant", async () => {
const fetchImpl = vi.fn().mockResolvedValue(
new Response(JSON.stringify({ endpoints: { api: "https://copilot-api.acme.ghe.com" } }), {
status: 200,
headers: { "content-type": "application/json" },
}),
);
const auth = await resolveCopilotRuntimeAuth({
githubToken: "tenant-source-token",
githubDomain: "acme.ghe.com",
fetchImpl: fetchImpl as typeof fetch,
});
expect(auth.baseUrl).toBe("https://copilot-api.acme.ghe.com");
expect(fetchImpl.mock.calls[0]?.[0]).toBe("https://api.acme.ghe.com/copilot_internal/user");
});
it("uses a domain-safe fallback when account metadata omits the API endpoint", async () => {
const fetchImpl = vi.fn().mockResolvedValue(
new Response(JSON.stringify({ copilot_plan: "individual" }), {
status: 200,
headers: { "content-type": "application/json" },
}),
);
await expect(
resolveCopilotRuntimeAuth({
githubToken: "github-source-token",
fetchImpl: fetchImpl as typeof fetch,
}),
).resolves.toMatchObject({
apiKey: "github-source-token",
baseUrl: "https://api.individual.githubcopilot.com",
});
});
it.each([
"http://api.individual.githubcopilot.com",
"https://api.individual.githubcopilot.com.attacker.test",
"https://user@api.individual.githubcopilot.com",
])("rejects an untrusted account endpoint: %s", async (api) => {
const fetchImpl = vi.fn().mockResolvedValue(
new Response(JSON.stringify({ endpoints: { api } }), {
status: 200,
headers: { "content-type": "application/json" },
}),
);
await expect(
resolveCopilotRuntimeAuth({
githubToken: "github-source-token",
fetchImpl: fetchImpl as typeof fetch,
}),
).rejects.toThrow("untrusted endpoints.api URL");
});
it("explains how to recover from forbidden authentication", async () => {
const fetchImpl = vi.fn().mockResolvedValue(new Response(null, { status: 403 }));
const rejection = resolveCopilotRuntimeAuth({
githubToken: "github-source-token",
fetchImpl: fetchImpl as typeof fetch,
});
await expect(rejection).rejects.toBeInstanceOf(CopilotRuntimeAuthError);
await expect(rejection).rejects.toMatchObject({
code: "github_copilot_auth_failed",
reason: "http_error",
status: 403,
message: expect.stringContaining("login-github-copilot"),
});
});
it("maps a stalled response body to a runtime-auth timeout", async () => {
const controller = new AbortController();
const timeoutSpy = vi.spyOn(AbortSignal, "timeout").mockImplementation(() => controller.signal);
const fetchImpl = vi.fn(async (_input: RequestInfo | URL, init?: RequestInit) => {
const signal = init?.signal;
return new Response(
new ReadableStream<Uint8Array>({
start(streamController) {
signal?.addEventListener("abort", () => streamController.error(signal.reason), {
once: true,
});
queueMicrotask(() => controller.abort(new DOMException("timed out", "TimeoutError")));
},
}),
{ status: 200, headers: { "content-type": "application/json" } },
);
});
try {
await expect(
resolveCopilotRuntimeAuth({
githubToken: "github-source-token",
fetchImpl: fetchImpl as typeof fetch,
}),
).rejects.toMatchObject({
name: "CopilotRuntimeAuthError",
reason: "timeout",
timeoutMs: 30_000,
});
} finally {
timeoutSpy.mockRestore();
}
});
});
describe("fetchCopilotModelCatalog", () => {
// Trimmed sample of the real Copilot /models response shape captured against
// api.githubcopilot.com against an Individual Copilot subscription. Includes
// a chat model, a router (must be filtered), an embedding (must be filtered),
// an internal 1M-context Claude variant (must be kept), and a vision-disabled
// codex model.
const sampleApiResponse = {
data: [
{
id: "gpt-5.5",
name: "GPT-5.5",
object: "model",
vendor: "OpenAI",
capabilities: {
type: "chat",
family: "gpt-5.5",
limits: {
max_context_window_tokens: 400000,
max_output_tokens: 128000,
max_prompt_tokens: 272000,
},
supports: {
vision: true,
tool_calls: true,
streaming: true,
structured_outputs: true,
reasoning_effort: ["low", "medium", "high"],
},
},
},
{
id: "gpt-5.3-codex",
name: "GPT-5.3-Codex",
object: "model",
vendor: "OpenAI",
capabilities: {
type: "chat",
family: "gpt-5.3-codex",
limits: {
max_context_window_tokens: 400000,
max_output_tokens: 128000,
},
supports: {
vision: false,
tool_calls: true,
reasoning_effort: ["low", "medium", "high"],
},
},
},
{
id: "gemini-3.1-pro-preview",
name: "Gemini 3.1 Pro Preview",
object: "model",
vendor: "Google",
capabilities: {
type: "chat",
limits: {
max_context_window_tokens: 1_000_000,
max_output_tokens: 65_536,
},
supports: {
vision: true,
tool_calls: true,
streaming: true,
},
},
},
{
id: "claude-opus-4.7-1m-internal",
name: "Claude Opus 4.7 (1M context)(Internal only)",
object: "model",
vendor: "Anthropic",
capabilities: {
type: "chat",
limits: {
max_context_window_tokens: 1000000,
max_output_tokens: 64000,
},
supports: {
vision: true,
tool_calls: true,
reasoning_effort: ["low", "medium", "high", "xhigh"],
},
},
},
{
id: "claude-opus-4-5",
name: "Claude Opus 4.5",
object: "model",
vendor: "Anthropic",
capabilities: {
type: "chat",
limits: {
max_context_window_tokens: 200000,
max_output_tokens: 64000,
},
supports: {
vision: true,
tool_calls: true,
reasoning_effort: ["low", "medium", "high", "max"],
},
},
},
{
// Internal router — must be filtered out (id starts with "accounts/").
id: "accounts/msft/routers/abc123",
name: "Search Agent A",
object: "model",
capabilities: {
type: "chat",
limits: { max_context_window_tokens: 256000, max_output_tokens: 1024 },
},
},
{
// Embedding — must be filtered out by capabilities.type !== "chat".
id: "text-embedding-3-small",
name: "Embedding V3 small",
object: "model",
capabilities: { type: "embedding" },
},
],
};
function selectableModelEntry(params: {
id: string;
category?: string;
contextWindow?: number;
maxTokens?: number;
pickerEnabled?: boolean;
policyState?: string;
preview?: boolean;
streaming?: boolean | "omit";
toolCalls?: boolean;
}) {
return {
id: params.id,
name: params.id,
object: "model",
model_picker_enabled: params.pickerEnabled ?? true,
model_picker_category: params.category ?? "versatile",
policy: { state: params.policyState ?? "enabled" },
preview: params.preview ?? false,
capabilities: {
type: "chat",
limits: {
max_context_window_tokens: params.contextWindow ?? 200_000,
max_output_tokens: params.maxTokens ?? 64_000,
},
supports: {
...(params.streaming === "omit" ? {} : { streaming: params.streaming ?? true }),
tool_calls: params.toolCalls ?? true,
},
},
};
}
async function fetchSelectionFixture(data: unknown[]) {
return await fetchCopilotModelCatalog({
copilotApiToken: "tid=test",
baseUrl: "https://api.githubcopilot.com",
fetchImpl: vi.fn().mockResolvedValue(makeResponse(200, { data })) as unknown as typeof fetch,
});
}
it("selects the preferred model only when the authenticated catalog marks it eligible", async () => {
const models = await fetchSelectionFixture([
selectableModelEntry({ id: "fallback", contextWindow: 1_000_000 }),
selectableModelEntry({ id: "preferred", category: "powerful" }),
]);
expect(selectCopilotStarterModel(models, "preferred")?.id).toBe("preferred");
});
it("uses a deterministic eligible fallback when the preferred model is policy-disabled", async () => {
const entries = [
selectableModelEntry({ id: "preferred", policyState: "disabled" }),
selectableModelEntry({ id: "preview", preview: true, contextWindow: 1_000_000 }),
selectableModelEntry({ id: "powerful", category: "powerful", contextWindow: 1_000_000 }),
selectableModelEntry({ id: "versatile-b", contextWindow: 400_000 }),
selectableModelEntry({ id: "versatile-a", contextWindow: 400_000 }),
];
const forward = await fetchSelectionFixture(entries);
const reversed = await fetchSelectionFixture(entries.toReversed());
expect(selectCopilotStarterModel(forward, "preferred")?.id).toBe("versatile-a");
expect(selectCopilotStarterModel(reversed, "preferred")?.id).toBe("versatile-a");
});
it("rejects hidden, unconfigured, non-streaming, and tool-less setup candidates", async () => {
const models = await fetchSelectionFixture([
selectableModelEntry({ id: "hidden", pickerEnabled: false }),
selectableModelEntry({ id: "unconfigured", policyState: "unconfigured" }),
selectableModelEntry({ id: "no-stream", streaming: false }),
selectableModelEntry({ id: "no-tools", toolCalls: false }),
]);
expect(selectCopilotStarterModel(models, "hidden")).toBeUndefined();
});
it("does not treat omitted streaming metadata as an explicit lack of support", async () => {
const models = await fetchSelectionFixture([
selectableModelEntry({ id: "omitted-streaming", streaming: "omit" }),
]);
expect(selectCopilotStarterModel(models, "omitted-streaming")?.id).toBe("omitted-streaming");
});
it("maps Copilot /models entries to ModelDefinitionConfig with real context windows", async () => {
const fetchImpl = vi.fn().mockResolvedValue(makeResponse(200, sampleApiResponse));
const out = await fetchCopilotModelCatalog({
copilotApiToken: "tid=test",
baseUrl: "https://api.githubcopilot.com",
fetchImpl: fetchImpl as unknown as typeof fetch,
});
expect(fetchImpl).toHaveBeenCalledTimes(1);
const [calledUrl, calledInit] = fetchImpl.mock.calls[0] ?? [];
expect(calledUrl).toBe("https://api.githubcopilot.com/models");
expect((calledInit as RequestInit).method).toBe("GET");
expect(((calledInit as RequestInit).headers as Record<string, string>).Authorization).toBe(
"Bearer tid=test",
);
expect(((calledInit as RequestInit).headers as Record<string, string>)["Accept-Encoding"]).toBe(
"identity",
);
expect(out.map((m) => m.id)).toEqual([
"gpt-5.5",
"gpt-5.3-codex",
"gemini-3.1-pro-preview",
"claude-opus-4.7-1m-internal",
"claude-opus-4-5",
]);
const gpt55 = out.find((m) => m.id === "gpt-5.5");
expect(gpt55).toEqual({
id: "gpt-5.5",
name: "GPT-5.5",
api: "openai-responses",
reasoning: true,
input: ["text", "image"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 400000,
contextTokens: 272000,
maxTokens: 128000,
compat: { supportedReasoningEfforts: ["low", "medium", "high"] },
});
const codex = out.find((m) => m.id === "gpt-5.3-codex");
expect(codex?.input).toEqual(["text"]);
expect(codex?.reasoning).toBe(true);
expect(codex?.contextWindow).toBe(400000);
expect(codex?.contextTokens).toBeUndefined();
const gemini = out.find((m) => m.id === "gemini-3.1-pro-preview");
expect(gemini?.api).toBe("openai-completions");
expect(gemini?.compat).toEqual({
supportsStore: false,
supportsDeveloperRole: false,
supportsUsageInStreaming: false,
maxTokensField: "max_tokens",
});
const opus1m = out.find((m) => m.id === "claude-opus-4.7-1m-internal");
expect(opus1m?.api).toBe("anthropic-messages");
expect(opus1m?.contextWindow).toBe(1_000_000);
expect(opus1m?.thinkingLevelMap).toEqual({ xhigh: "xhigh", max: null });
expect(opus1m?.compat).toEqual({
supportedReasoningEfforts: ["low", "medium", "high", "xhigh"],
});
const opus45 = out.find((m) => m.id === "claude-opus-4-5");
expect(opus45?.thinkingLevelMap).toEqual({ xhigh: null, max: null });
expect(opus45?.compat).toEqual({
supportsEagerToolInputStreaming: false,
supportedReasoningEfforts: ["low", "medium", "high", "max"],
});
});
it("strips trailing slash from baseUrl when building the /models URL", async () => {
const fetchImpl = vi.fn().mockResolvedValue(makeResponse(200, { data: [] }));
await fetchCopilotModelCatalog({
copilotApiToken: "tid=test",
baseUrl: "https://api.githubcopilot.com/",
fetchImpl: fetchImpl as unknown as typeof fetch,
});
expect(fetchImpl.mock.calls[0]?.[0]).toBe("https://api.githubcopilot.com/models");
});
it("dedupes by id when API returns duplicates", async () => {
const fetchImpl = vi.fn().mockResolvedValue(
makeResponse(200, {
data: [
{
id: "gpt-5.5",
name: "GPT-5.5",
object: "model",
capabilities: {
type: "chat",
limits: { max_context_window_tokens: 400000, max_output_tokens: 128000 },
},
},
{
id: "gpt-5.5",
name: "GPT-5.5 (dup)",
object: "model",
capabilities: {
type: "chat",
limits: { max_context_window_tokens: 100000, max_output_tokens: 1000 },
},
},
],
}),
);
const out = await fetchCopilotModelCatalog({
copilotApiToken: "tid=test",
baseUrl: "https://api.githubcopilot.com",
fetchImpl: fetchImpl as unknown as typeof fetch,
});
expect(out).toHaveLength(1);
expect(expectDefined(out[0], "GitHub Copilot model").name).toBe("GPT-5.5");
});
it("falls back from malformed live token limits", async () => {
const fetchImpl = vi.fn().mockResolvedValue(
makeResponse(200, {
data: [
{
id: "gpt-bad-window",
name: "GPT Bad Window",
object: "model",
capabilities: {
type: "chat",
limits: {
max_context_window_tokens: -1,
max_prompt_tokens: -1,
max_output_tokens: 128000.5,
},
},
},
{
id: "gpt-bad-output",
name: "GPT Bad Output",
object: "model",
capabilities: {
type: "chat",
limits: {
max_context_window_tokens: Number.POSITIVE_INFINITY,
max_prompt_tokens: Number.POSITIVE_INFINITY,
max_output_tokens: 0,
},
},
},
],
}),
);
const out = await fetchCopilotModelCatalog({
copilotApiToken: "tid=test",
baseUrl: "https://api.githubcopilot.com",
fetchImpl: fetchImpl as unknown as typeof fetch,
});
expect(out).toHaveLength(2);
expect(out[0]).toMatchObject({
id: "gpt-bad-window",
contextWindow: 128000,
maxTokens: 8192,
});
expect(out[0]).not.toHaveProperty("contextTokens");
expect(out[1]).toMatchObject({
id: "gpt-bad-output",
contextWindow: 128000,
maxTokens: 8192,
});
expect(out[1]).not.toHaveProperty("contextTokens");
});
it("cancels stalled non-2xx response bodies before the caller falls back", async () => {
let canceled = false;
const response = new Response(
new ReadableStream<Uint8Array>({
cancel() {
canceled = true;
},
}),
{ status: 401 },
);
const fetchImpl = vi.fn().mockResolvedValue(response);
await expect(
fetchCopilotModelCatalog({
copilotApiToken: "tid=bad",
baseUrl: "https://api.githubcopilot.com",
fetchImpl: fetchImpl as unknown as typeof fetch,
}),
).rejects.toThrow(/HTTP 401/);
expect(canceled).toBe(true);
});
it("throws provider-owned errors for malformed successful /models payloads", async () => {
for (const payload of [[], { data: {} }, { data: [null] }]) {
const fetchImpl = vi.fn().mockResolvedValue(makeResponse(200, payload));
await expect(
fetchCopilotModelCatalog({
copilotApiToken: "tid=test",
baseUrl: "https://api.githubcopilot.com",
fetchImpl: fetchImpl as unknown as typeof fetch,
}),
).rejects.toThrow("Copilot /models: malformed JSON response");
}
});
it("rejects empty token / baseUrl synchronously before fetching", async () => {
const fetchImpl = vi.fn();
await expect(
fetchCopilotModelCatalog({
copilotApiToken: "",
baseUrl: "https://api.githubcopilot.com",
fetchImpl: fetchImpl as unknown as typeof fetch,
}),
).rejects.toThrow(/copilotApiToken required/);
await expect(
fetchCopilotModelCatalog({
copilotApiToken: "tid=test",
baseUrl: "",
fetchImpl: fetchImpl as unknown as typeof fetch,
}),
).rejects.toThrow(/baseUrl required/);
expect(fetchImpl).not.toHaveBeenCalled();
});
});