merge(release): reconcile frozen remote tip 6158c9ae (#8875)

This commit is contained in:
diegosouzapw
2026-08-23 19:04:37 -03:00
77 changed files with 2162 additions and 808 deletions

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@@ -57,6 +57,7 @@ test("agy ships its own live callable model catalog", () => {
assert.ok(!ids.includes("gemini-3.6-flash-low"));
assert.ok(!ids.includes("gemini-3.6-flash-medium"));
assert.ok(!ids.includes("gemini-3.6-flash-high"));
assert.ok(!ids.includes("gemini-3.5-flash"));
assert.ok(!ids.includes("gemini-3.5-flash-extra-low"));
assert.ok(!ids.includes("gemini-3.5-flash-low"));
assert.ok(!ids.includes("gemini-3-flash-agent"));
@@ -87,6 +88,7 @@ test("agy model helpers resolve catalog ids and display names", () => {
assert.equal(isUserCallableAgyModelId("gemini-3.6-flash-low"), false);
assert.equal(isUserCallableAgyModelId("gemini-3.6-flash-medium"), false);
assert.equal(isUserCallableAgyModelId("gemini-3.6-flash-high"), false);
assert.equal(isUserCallableAgyModelId("gemini-3.5-flash"), false);
assert.equal(isUserCallableAgyModelId("gemini-3.5-flash-extra-low"), false);
assert.equal(isUserCallableAgyModelId("gemini-3.5-flash-low"), false);
assert.equal(isUserCallableAgyModelId("gemini-3-flash-agent"), false);

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@@ -74,7 +74,7 @@ test("TDD S3: checkFallbackError extracts retry hint for oauth providers even if
429,
errorText,
0,
"gemini-3.5-flash",
"gemini-3.7-flash",
"antigravity", // which uses oauth provider profile (useUpstreamRetryHints: false)
null
);

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@@ -31,6 +31,7 @@ const RETIRED_FLASH_IDS = [
"gemini-3.6-flash-low",
"gemini-3.6-flash-medium",
"gemini-3.6-flash-high",
"gemini-3.5-flash",
"gemini-3.5-flash-extra-low",
"gemini-3.5-flash-low",
"gemini-3-flash-agent",

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@@ -21,6 +21,7 @@ const RETIRED_PUBLIC_MODELS = [
"gemini-3.6-flash-medium",
"gemini-3.6-flash-low",
"gemini-3-flash-agent",
"gemini-3.5-flash",
"gemini-3.5-flash-low",
"gemini-3.5-flash-extra-low",
"gemini-2.5-pro",

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@@ -1,133 +1,101 @@
import test from "node:test";
import assert from "node:assert/strict";
function makeResp(data: unknown, status = 200) {
const obj = {
ok: status < 400,
status,
exitCode: status < 400 ? 0 : 1,
json: () => Promise.resolve(data),
text: () => Promise.resolve(JSON.stringify(data)),
headers: new Headers(),
};
obj.json = obj.json.bind(obj);
obj.text = obj.text.bind(obj);
return obj;
}
import { makeMcpResp, makeMcpStreamFetch } from "./helpers/mcpStreamMock.ts";
function makeCmd(output = "json") {
return { optsWithGlobals: () => ({ output, quiet: output !== "table" }) };
}
test("combo suggest chama omniroute_best_combo_for_task via MCP", async () => {
let capturedBody: any = null;
let capturedUrl = "";
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string, opts: any) => {
capturedUrl = url;
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(
makeResp({
candidates: [
{
name: "fast-combo",
strategy: "priority",
score: 0.92,
latencyP50Ms: 120,
costPer1k: 0.002,
},
],
rationale: "Best latency for real-time tasks",
})
);
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({
name: "omniroute_best_combo_for_task",
arguments: { task: "Real-time code completions", top: 5 },
}),
globalThis.fetch = makeMcpStreamFetch({
toolResult: {
candidates: [
{
name: "fast-combo",
strategy: "priority",
score: 0.92,
latencyP50Ms: 120,
costPer1k: 0.002,
},
],
rationale: "Best latency for real-time tasks",
},
});
const { mcpCallTool } = await import("../../bin/cli/mcpClient.mjs");
const result = await mcpCallTool("omniroute_best_combo_for_task", {
task: "Real-time code completions",
top: 5,
});
globalThis.fetch = origFetch;
assert.ok(capturedUrl.includes("/api/mcp/tools/call"));
assert.equal(capturedBody.name, "omniroute_best_combo_for_task");
assert.equal(capturedBody.arguments.task, "Real-time code completions");
const candidates = (result as any).candidates;
assert.equal(candidates[0].name, "fast-combo");
assert.equal((result as any).rationale, "Best latency for real-time tasks");
});
test("combo suggest --max-cost/--max-latency-ms passa constraints", async () => {
let capturedBody: any = null;
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ candidates: [] }));
const captured: any[] = [];
globalThis.fetch = makeMcpStreamFetch({ toolResult: { candidates: [] } });
const inner = globalThis.fetch;
globalThis.fetch = ((url: any, init: any) => {
captured.push({ url: String(url), init });
return inner(url, init);
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({
name: "omniroute_best_combo_for_task",
arguments: {
task: "Summarize PDFs",
constraints: { maxCostUsd: 0.001, maxLatencyMs: 500 },
top: 3,
},
}),
const { mcpCallTool } = await import("../../bin/cli/mcpClient.mjs");
await mcpCallTool("omniroute_best_combo_for_task", {
task: "Summarize PDFs",
constraints: { maxCostUsd: 0.001, maxLatencyMs: 500 },
top: 3,
});
globalThis.fetch = origFetch;
assert.equal(capturedBody.arguments.constraints.maxCostUsd, 0.001);
assert.equal(capturedBody.arguments.constraints.maxLatencyMs, 500);
assert.equal(capturedBody.arguments.top, 3);
const args = JSON.parse(captured.find((c) => /tools\/call/.test(String(c.init?.body || "")))?.init?.body || "{}")?.params?.arguments;
assert.equal(args.constraints.maxCostUsd, 0.001);
assert.equal(args.constraints.maxLatencyMs, 500);
assert.equal(args.top, 3);
});
test("combo suggest --weights passa pesos no body", async () => {
let capturedBody: any = null;
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ candidates: [] }));
const captured: any[] = [];
globalThis.fetch = makeMcpStreamFetch({ toolResult: { candidates: [] } });
const inner = globalThis.fetch;
globalThis.fetch = ((url: any, init: any) => {
captured.push({ url: String(url), init });
return inner(url, init);
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({
name: "omniroute_best_combo_for_task",
arguments: {
task: "batch",
weights: { latency: 0.7, cost: 0.3 },
},
}),
const { mcpCallTool } = await import("../../bin/cli/mcpClient.mjs");
await mcpCallTool("omniroute_best_combo_for_task", {
task: "batch",
weights: { latency: 0.7, cost: 0.3 },
});
globalThis.fetch = origFetch;
assert.equal(capturedBody.arguments.weights.latency, 0.7);
assert.equal(capturedBody.arguments.weights.cost, 0.3);
const args = JSON.parse(captured.find((c) => /tools\/call/.test(String(c.init?.body || "")))?.init?.body || "{}")?.params?.arguments;
assert.equal(args.weights.latency, 0.7);
assert.equal(args.weights.cost, 0.3);
});
test("combo suggest --switch chama /api/combos/switch com melhor combo", async () => {
let urls: string[] = [];
const urls: string[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string, opts: any) => {
urls.push(url);
if (url.includes("/api/mcp/tools/call")) {
return Promise.resolve(makeResp({ candidates: [{ name: "best-combo", score: 0.95 }] }));
globalThis.fetch = ((url: any, opts: any) => {
urls.push(String(url));
if (String(url).includes("/api/mcp/stream")) {
const body = opts?.body ? JSON.parse(opts.body) : {};
if (body.method === "initialize") {
return Promise.resolve(makeMcpResp({ jsonrpc: "2.0", id: body.id, result: {} }, 200, { "mcp-session-id": "s" }));
}
return Promise.resolve(makeMcpResp({ jsonrpc: "2.0", id: body.id, result: { candidates: [{ name: "best-combo", score: 0.95 }] } }));
}
return Promise.resolve(makeResp({ switched: true }));
return Promise.resolve(makeMcpResp({ switched: true }));
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: '{"name":"omniroute_best_combo_for_task","arguments":{"task":"x"}}',
});
await (globalThis.fetch as any)("/api/combos/switch", {
method: "POST",
body: '{"name":"best-combo"}',
});
globalThis.fetch = origFetch;
const { mcpCallTool } = await import("../../bin/cli/mcpClient.mjs");
const data = await mcpCallTool("omniroute_best_combo_for_task", { task: "x" });
const combosSwitchRes = await fetch("/api/combos/switch", { method: "POST", body: JSON.stringify({ name: (data as any).candidates[0].name }) });
assert.equal(combosSwitchRes.ok, true);
assert.ok(urls.some((u) => u.includes("/api/combos/switch")));
globalThis.fetch = origFetch;
});
test("combo.mjs exporta extendComboSuggest e registerCombo", async () => {

View File

@@ -1,11 +1,11 @@
import test from "node:test";
import assert from "node:assert/strict";
import { makeMcpResp, makeMcpStreamFetch } from "./helpers/mcpStreamMock.ts";
function makeResp(data: unknown, status = 200) {
const obj = {
ok: status < 400,
status,
exitCode: status < 400 ? 0 : 1,
json: () => Promise.resolve(data),
text: () => Promise.resolve(JSON.stringify(data)),
headers: new Headers(),
@@ -35,26 +35,32 @@ function makeCmd(output = "json") {
}
test("compression status chama omniroute_compression_status via mcp", async () => {
let capturedBody: any = null;
const calls: unknown[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ engine: "caveman", enabled: true }));
globalThis.fetch = makeMcpStreamFetch({ toolResult: { engine: "caveman", enabled: true } });
const inner = globalThis.fetch;
globalThis.fetch = ((url: unknown, init: unknown) => {
calls.push({ url: String(url), init });
return inner(url, init);
}) as any;
const { runCompressionStatus } = await import("../../bin/cli/commands/compression.mjs");
await captureStdout(() => runCompressionStatus({}, makeCmd() as any));
globalThis.fetch = origFetch;
assert.equal(capturedBody.name, "omniroute_compression_status");
const body = JSON.parse(calls.find((x) => String(x.init?.body || "").includes("tools/call"))?.init?.body || "{}");
assert.equal(body.method, "tools/call");
assert.equal(body.params.name, "omniroute_compression_status");
});
test("compression configure envia configuração via mcp", async () => {
let capturedBody: any = null;
const calls: unknown[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ success: true }));
globalThis.fetch = makeMcpStreamFetch({ toolResult: { success: true } });
const inner = globalThis.fetch;
globalThis.fetch = ((url: unknown, init: unknown) => {
calls.push({ url: String(url), init });
return inner(url, init);
}) as any;
const { runCompressionConfigure } = await import("../../bin/cli/commands/compression.mjs");
@@ -63,20 +69,22 @@ test("compression configure envia configuração via mcp", async () => {
);
globalThis.fetch = origFetch;
assert.equal(capturedBody.name, "omniroute_compression_configure");
// #6571: the configure command now sends the canonical `strategy` field the MCP
// tool schema (compressionConfigureInput) + handleCompressionConfigure expect,
// not the nonexistent `engine` key (which the non-strict schema silently stripped).
assert.equal(capturedBody.arguments.strategy, "caveman");
assert.ok(capturedBody.arguments.caveman?.aggressiveness === 0.8);
const body = JSON.parse(calls.find((x) => String(x.init?.body || "").includes("tools/call"))?.init?.body || "{}");
assert.equal(body.method, "tools/call");
assert.equal(body.params.name, "omniroute_compression_configure");
// #6571: the configure command now sends the canonical `strategy` field
assert.equal(body.params.arguments.strategy, "caveman");
assert.ok(body.params.arguments.caveman?.aggressiveness === 0.8);
});
test("compression engine set chama omniroute_set_compression_engine", async () => {
let capturedBody: any = null;
const calls: unknown[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ success: true }));
globalThis.fetch = makeMcpStreamFetch({ toolResult: {} });
const inner = globalThis.fetch;
globalThis.fetch = ((url: unknown, init: unknown) => {
calls.push({ url: String(url), init });
return inner(url, init);
}) as any;
const out = await captureStdout(async () => {
@@ -85,8 +93,10 @@ test("compression engine set chama omniroute_set_compression_engine", async () =
});
globalThis.fetch = origFetch;
assert.equal(capturedBody.name, "omniroute_set_compression_engine");
assert.equal(capturedBody.arguments.engine, "rtk");
const body = JSON.parse(calls.find((x) => String(x.init?.body || "").includes("tools/call"))?.init?.body || "{}");
assert.equal(body.method, "tools/call");
assert.equal(body.params.name, "omniroute_set_compression_engine");
assert.equal(body.params.arguments.engine, "rtk");
assert.ok(out.includes("rtk"));
});
@@ -109,6 +119,26 @@ test("compression engine set rejeita engine inválido", async () => {
assert.equal(exitCode, 2);
});
test("compression engine set normaliza hybrid → stacked alias", async () => {
const calls: unknown[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = makeMcpStreamFetch({ toolResult: {} });
const inner = globalThis.fetch;
globalThis.fetch = ((url: unknown, init: unknown) => {
calls.push({ url: String(url), init });
return inner(url, init);
}) as any;
await captureStdout(async () => {
const { runCompressionEngineSet } = await import("../../bin/cli/commands/compression.mjs");
await runCompressionEngineSet("hybrid", {}, makeCmd() as any);
});
globalThis.fetch = origFetch;
const body = JSON.parse(calls.find((x) => String(x.init?.body || "").includes("tools/call"))?.init?.body || "{}");
assert.equal(body.params.arguments.engine, "stacked");
});
test("compression rules list busca /api/compression/rules", async () => {
let capturedUrl = "";
const origFetch = globalThis.fetch;
@@ -126,10 +156,10 @@ test("compression rules list busca /api/compression/rules", async () => {
});
test("compression rules add envia pattern e action", async () => {
let capturedBody: any = null;
let capturedBody: unknown = null;
let capturedUrl = "";
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string, opts: any) => {
globalThis.fetch = ((url: string, opts: unknown) => {
capturedUrl = url;
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ id: "rule-2", pattern: ".*debug.*", action: "drop" }));
@@ -168,15 +198,19 @@ test("compression.mjs pode ser importado sem erro", async () => {
assert.equal(typeof mod.runCompressionPreview, "function");
});
// #2688 — when /api/mcp/tools/call returns 404, the CLI must fall back to
// #2688 — when the MCP tool surface returns 404, the CLI must fall back to
// direct REST endpoints (no MCP tool surface required on minimal builds).
test("compression status falls back to /api/settings/compression on MCP 404", async () => {
const callOrder: string[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string) => {
globalThis.fetch = ((url: string, opts: unknown) => {
callOrder.push(url);
if (url.includes("/api/mcp/tools/call")) {
return Promise.resolve(makeResp({ error: "not mounted" }, 404));
if (url.includes("/api/mcp/stream")) {
const body = opts?.body ? JSON.parse(opts.body) : {};
if (body.method === "initialize") {
return Promise.resolve(makeMcpResp({ jsonrpc: "2.0", id: body.id, result: {} }, 200, { "mcp-session-id": "s" }));
}
return Promise.resolve(makeMcpResp({ error: "not mounted" }, 404));
}
if (url.includes("/api/settings/compression")) {
return Promise.resolve(makeResp({ engine: "caveman", enabled: true }));
@@ -194,48 +228,28 @@ test("compression status falls back to /api/settings/compression on MCP 404", as
await captureStdout(() => runCompressionStatus({}, makeCmd() as any));
globalThis.fetch = origFetch;
assert.ok(
callOrder.some((u) => u.includes("/api/mcp/tools/call")),
"should attempt MCP first"
);
assert.ok(
callOrder.some((u) => u.includes("/api/settings/compression")),
"should fall back to settings endpoint"
);
assert.ok(
callOrder.some((u) => u.includes("/api/context/combos")),
"should fall back to combos endpoint"
);
});
test("compression engine set normalizes hybrid → stacked alias", async () => {
let captured: any = null;
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) captured = JSON.parse(opts.body);
return Promise.resolve(makeResp({ success: true }));
}) as any;
await captureStdout(async () => {
const { runCompressionEngineSet } = await import("../../bin/cli/commands/compression.mjs");
await runCompressionEngineSet("hybrid", {}, makeCmd() as any);
});
globalThis.fetch = origFetch;
assert.equal(captured?.arguments?.engine, "stacked");
const first = callOrder[0] ?? "";
assert.ok(first.includes("/api/mcp/stream"), "should attempt MCP first");
assert.ok(callOrder.some((u) => u.includes("/api/settings/compression")), "should fall back to REST");
assert.ok(callOrder.some((u) => u.includes("/api/context/combos")), "should fetch combos");
assert.ok(callOrder.some((u) => u.includes("/api/context/analytics")), "should fetch analytics");
});
test("compression engine set falls back to PUT /api/settings/compression on MCP 404", async () => {
const calls: Array<{ url: string; method?: string; body?: any }> = [];
const calls: Array<{ url: string; method?: string; body?: unknown }> = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string, opts: any) => {
globalThis.fetch = ((url: string, opts: unknown) => {
calls.push({
url,
method: opts?.method,
body: opts?.body ? JSON.parse(opts.body) : undefined,
});
if (url.includes("/api/mcp/tools/call")) {
return Promise.resolve(makeResp({ error: "not mounted" }, 404));
if (url.includes("/api/mcp/stream")) {
const body = opts?.body ? JSON.parse(opts.body) : {};
if (body.method === "initialize") {
return Promise.resolve(makeMcpResp({ jsonrpc: "2.0", id: body.id, result: {} }, 200, { "mcp-session-id": "s" }));
}
return Promise.resolve(makeMcpResp({ error: "not mounted" }, 404));
}
return Promise.resolve(makeResp({ ok: true }));
}) as any;
@@ -249,7 +263,6 @@ test("compression engine set falls back to PUT /api/settings/compression on MCP
const restCall = calls.find((c) => c.url.includes("/api/settings/compression"));
assert.ok(restCall, "should fall back to PUT /api/settings/compression");
assert.equal(restCall?.method, "PUT");
// #6571: the REST fallback now PUTs the canonical `defaultMode` field the server's
// strict schema accepts, not the nonexistent `engine` key (which made the PUT 400).
// #6571: the REST fallback now PUTs the canonical `defaultMode` field
assert.equal(restCall?.body?.defaultMode, "rtk");
});

View File

@@ -1,14 +1,16 @@
import test from "node:test";
import assert from "node:assert/strict";
function makeResp(data: unknown, status = 200) {
// ---- helpers ----
function makeResp(data: unknown, status = 200, extraHeaders: Record<string, string> = {}) {
const headers = new Headers({ "content-type": "application/json", ...extraHeaders });
const obj = {
ok: status < 400,
status,
exitCode: status < 400 ? 0 : 1,
json: () => Promise.resolve(data),
text: () => Promise.resolve(JSON.stringify(data)),
headers: new Headers(),
headers,
};
obj.json = obj.json.bind(obj);
obj.text = obj.text.bind(obj);
@@ -34,116 +36,314 @@ function makeCmd(output = "json") {
return { optsWithGlobals: () => ({ output, quiet: output !== "table" }) };
}
test("mcp call envia name e arguments no body", async () => {
let capturedBody: any = null;
let capturedUrl = "";
// Simulate a /api/mcp/stream endpoint that speaks JSON-RPC 2.0
function makeMcpStreamFetch(
toolResult: { content: { type: string; text: string }[] } = {
content: [{ type: "text", text: "hello" }],
},
callStatus = 200,
) {
return ((url: string, opts: unknown) => {
const u = String(url);
if (!u.includes("/api/mcp/stream")) {
return Promise.resolve(makeResp({ error: "not found" }, 404));
}
const body = opts?.body ? JSON.parse(opts.body) : null;
// initialize
if (body && body.method === "initialize") {
return Promise.resolve(
makeResp(
{ jsonrpc: "2.0", id: 1, result: { protocolVersion: "2024-11-05", capabilities: {} } },
200,
{ "mcp-session-id": "test-session-123" },
),
);
}
// tools/call
if (body && body.method === "tools/call") {
return Promise.resolve(
makeResp(
{ jsonrpc: "2.0", id: 2, result: toolResult },
callStatus,
),
);
}
return Promise.resolve(makeResp({ error: "unknown method" }, 400));
}) as any;
}
// ---- tests ----
test("mcp call sends JSON-RPC initialize then tools/call", async () => {
const calls: Array<{ url: string; body: unknown }> = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string, opts: any) => {
capturedUrl = url;
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ result: { health: "ok" } }));
globalThis.fetch = ((url: string, opts: unknown) => {
const u = String(url);
const body = opts?.body ? JSON.parse(opts.body) : null;
calls.push({ url: u, body });
if (body && body.method === "initialize") {
return Promise.resolve(
makeResp(
{ jsonrpc: "2.0", id: 1, result: { protocolVersion: "2024-11-05", capabilities: {} } },
200,
{ "mcp-session-id": "sess-1" },
),
);
}
if (body && body.method === "tools/call") {
return Promise.resolve(
makeResp({
jsonrpc: "2.0",
id: 2,
result: { content: [{ type: "text", text: "ok" }] },
}),
);
}
return Promise.resolve(makeResp({ error: "unknown" }, 400));
}) as any;
// Simula o que runMcpCall faz internamente
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({ name: "omniroute_get_health", arguments: {} }),
try {
const { runMcpCallCommand } = await import(
"../../bin/cli/commands/mcp.mjs"
);
const exitCode = await runMcpCallCommand(
"omniroute_get_health",
{},
{ stream: false },
{ baseUrl: "http://localhost:20128" },
);
assert.equal(exitCode, 0);
assert.equal(calls.length, 2);
assert.equal(calls[0].body.method, "initialize");
assert.equal(calls[1].body.method, "tools/call");
assert.equal(calls[1].body.params.name, "omniroute_get_health");
assert.deepEqual(calls[1].body.params.arguments, {});
} finally {
globalThis.fetch = origFetch;
}
});
test("mcp call passes session-id header on tools/call", async () => {
let callHeaders: Record<string, string> = {};
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string, opts: unknown) => {
const body = opts?.body ? JSON.parse(opts.body) : null;
if (body && body.method === "initialize") {
return Promise.resolve(
makeResp(
{ jsonrpc: "2.0", id: 1, result: { protocolVersion: "2024-11-05", capabilities: {} } },
200,
{ "mcp-session-id": "sess-abc" },
),
);
}
if (body && body.method === "tools/call") {
callHeaders = opts.headers || {};
return Promise.resolve(
makeResp({
jsonrpc: "2.0",
id: 2,
result: { content: [{ type: "text", text: "ok" }] },
}),
);
}
return Promise.resolve(makeResp({ error: "unknown" }, 400));
}) as any;
try {
const { runMcpCallCommand } = await import(
"../../bin/cli/commands/mcp.mjs"
);
const exitCode = await runMcpCallCommand(
"test_tool",
{ key: "val" },
{ stream: false },
{ baseUrl: "http://localhost:20128" },
);
assert.equal(exitCode, 0);
assert.equal(callHeaders["mcp-session-id"], "sess-abc");
} finally {
globalThis.fetch = origFetch;
}
});
test("mcp call prints result content to stdout", async () => {
const origFetch = globalThis.fetch;
globalThis.fetch = makeMcpStreamFetch({
content: [{ type: "text", text: "hello world" }],
});
const output = await captureStdout(async () => {
const { runMcpCallCommand } = await import(
"../../bin/cli/commands/mcp.mjs"
);
await runMcpCallCommand(
"test",
{},
{ stream: false },
{ baseUrl: "http://localhost:20128" },
);
});
globalThis.fetch = origFetch;
assert.ok(capturedUrl.includes("/api/mcp/tools/call"));
assert.equal(capturedBody.name, "omniroute_get_health");
assert.deepEqual(capturedBody.arguments, {});
assert.ok(output.includes("hello world"));
});
test("mcp call com --args passa argumentos como JSON", async () => {
let capturedBody: any = null;
test("mcp call prints error on non-ok response", async () => {
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ result: {} }));
globalThis.fetch = ((url: string, opts: unknown) => {
const body = opts?.body ? JSON.parse(opts.body) : null;
if (body && body.method === "initialize") {
return Promise.resolve(
makeResp(
{ jsonrpc: "2.0", id: 1, result: { protocolVersion: "2024-11-05", capabilities: {} } },
200,
{ "mcp-session-id": "sess-1" },
),
);
}
if (body && body.method === "tools/call") {
return Promise.resolve(makeResp({ error: "tool not found" }, 500));
}
return Promise.resolve(makeResp({ error: "unknown" }, 400));
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({ name: "omniroute_check_quota", arguments: { provider: "openai" } }),
try {
const { runMcpCallCommand } = await import(
"../../bin/cli/commands/mcp.mjs"
);
const exitCode = await runMcpCallCommand(
"bad_tool",
{},
{ stream: false },
{ baseUrl: "http://localhost:20128" },
);
assert.equal(exitCode, 1);
} finally {
globalThis.fetch = origFetch;
}
});
test("mcp call with stream reads SSE data", async () => {
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string, opts: unknown) => {
const body = opts?.body ? JSON.parse(opts.body) : null;
if (body && body.method === "initialize") {
return Promise.resolve(
makeResp(
{ jsonrpc: "2.0", id: 1, result: { protocolVersion: "2024-11-05", capabilities: {} } },
200,
{ "mcp-session-id": "sess-stream" },
),
);
}
if (body && body.method === "tools/call") {
// Simulate an SSE stream via a ReadableStream body
const encoder = new TextEncoder();
const stream = new ReadableStream({
start(controller) {
controller.enqueue(encoder.encode("data: stream-chunk-1\n\ndata: stream-chunk-2\n\n"));
controller.close();
},
});
return Promise.resolve({
ok: true,
status: 200,
body: stream,
headers: new Headers(),
json: () => Promise.reject(new Error("not json")),
text: () => Promise.reject(new Error("not text")),
});
}
return Promise.resolve(makeResp({ error: "unknown" }, 400));
}) as any;
const output = await captureStdout(async () => {
const { runMcpCallCommand } = await import(
"../../bin/cli/commands/mcp.mjs"
);
await runMcpCallCommand(
"test",
{},
{ stream: true },
{ baseUrl: "http://localhost:20128" },
);
});
globalThis.fetch = origFetch;
assert.equal(capturedBody.arguments.provider, "openai");
assert.ok(output.includes("stream-chunk-1"));
assert.ok(output.includes("stream-chunk-2"));
});
test("mcp scopes envia meta=scopes na query", async () => {
let capturedUrl = "";
test("mcp status reads online field", async () => {
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string) => {
capturedUrl = url;
return Promise.resolve(makeResp({ scopes: ["read:health", "read:combos", "write:settings"] }));
globalThis.fetch = (async (_url: string | URL, init?: unknown) => {
const u = String(_url);
if (u.includes("/api/health")) {
return makeResp({ status: "ok" }) as any;
}
if (u.includes("/api/mcp/status")) {
return makeResp({
status: "online",
online: true,
transport: "stdio",
enabled: true,
toolsCount: 107,
}) as any;
}
return makeResp({ error: "not found" }, 404) as any;
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools?meta=scopes");
globalThis.fetch = origFetch;
assert.ok(capturedUrl.includes("meta=scopes"));
});
test("mcp tools list busca /api/mcp/tools", async () => {
const TOOLS = [
{ name: "omniroute_get_health", scopes: ["read:health"], auditLevel: "low", phase: 1 },
{ name: "omniroute_list_combos", scopes: ["read:combos"], auditLevel: "low", phase: 1 },
];
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string) => {
return Promise.resolve(makeResp({ tools: TOOLS }));
}) as any;
const out = await captureStdout(async () => {
const { emit } = await import("../../bin/cli/output.mjs");
const res = await (globalThis.fetch as any)("/api/mcp/tools");
const data = await res.json();
emit(data.tools ?? data, makeCmd().optsWithGlobals());
const output = await captureStdout(async () => {
const { runMcpStatusCommand } = await import(
"../../bin/cli/commands/mcp.mjs"
);
const exitCode = await runMcpStatusCommand({});
assert.equal(exitCode, 0);
});
globalThis.fetch = origFetch;
const parsed = JSON.parse(out);
assert.ok(Array.isArray(parsed));
assert.equal(parsed.length, 2);
assert.ok(output.includes("MCP server running"), "should print running status, got: " + output);
assert.ok(output.includes("107"), "should print toolsCount");
});
test("mcp tools list com --scope filtra por scope", async () => {
let capturedUrl = "";
test("mcp status json mode prints full object", async () => {
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string) => {
capturedUrl = url;
return Promise.resolve(makeResp({ tools: [] }));
const u = String(url);
if (u.includes("/api/health")) {
return Promise.resolve(makeResp({ status: "ok" }, 200));
}
if (u.includes("/api/mcp/status")) {
return Promise.resolve(
makeResp({
status: "online",
online: true,
transport: "stdio",
enabled: true,
toolsCount: 107,
}),
);
}
return Promise.resolve(makeResp({ error: "not found" }, 404));
}) as any;
const params = new URLSearchParams({ scope: "read:health" });
await (globalThis.fetch as any)(`/api/mcp/tools?${params}`);
const output = await captureStdout(async () => {
const { runMcpStatusCommand } = await import(
"../../bin/cli/commands/mcp.mjs"
);
const exitCode = await runMcpStatusCommand({ json: true });
assert.equal(exitCode, 0);
});
globalThis.fetch = origFetch;
assert.ok(
capturedUrl.includes("scope=read%3Ahealth") || capturedUrl.includes("scope=read:health")
);
});
test("mcp audit stats passa period na query", async () => {
let capturedUrl = "";
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string) => {
capturedUrl = url;
return Promise.resolve(makeResp({ period: "30d", totalCalls: 500 }));
}) as any;
await (globalThis.fetch as any)("/api/mcp/audit/stats?period=30d");
globalThis.fetch = origFetch;
assert.ok(capturedUrl.includes("period=30d"));
});
test("mcp.mjs pode ser importado sem erro", async () => {
const mod = await import("../../bin/cli/commands/mcp.mjs");
assert.equal(typeof mod.registerMcp, "function");
assert.equal(typeof mod.runMcpStatusCommand, "function");
assert.equal(typeof mod.runMcpRestartCommand, "function");
const parsed = JSON.parse(output.trim());
assert.equal(parsed.online, true);
assert.equal(parsed.toolsCount, 107);
});

View File

@@ -1,18 +1,9 @@
import test from "node:test";
import assert from "node:assert/strict";
import { makeMcpResp, makeMcpStreamFetch } from "./helpers/mcpStreamMock.ts";
function makeResp(data: unknown, status = 200) {
const obj = {
ok: status < 400,
status,
exitCode: status < 400 ? 0 : 1,
json: () => Promise.resolve(data),
text: () => Promise.resolve(JSON.stringify(data)),
headers: new Headers(),
};
obj.json = obj.json.bind(obj);
obj.text = obj.text.bind(obj);
return obj;
return makeMcpResp(data, status) as any;
}
function makeCmd(output = "json") {
@@ -20,84 +11,47 @@ function makeCmd(output = "json") {
}
test("oneproxy status chama omniroute_oneproxy_stats via MCP", async () => {
let capturedBody: any = null;
const calls: any[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ poolSize: 10, activeProxies: 8 }));
globalThis.fetch = makeMcpStreamFetch({ toolResult: { poolSize: 10, activeProxies: 8 } });
globalThis.fetch = (async (url: string, init?: any) => {
calls.push({ url: String(url), init });
return origFetch(url, init);
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({ name: "omniroute_oneproxy_stats", arguments: {} }),
});
await import("../../bin/cli/commands/oneproxy.mjs");
// ensure module registers; just assert stream mock shape
globalThis.fetch = origFetch;
assert.equal(capturedBody.name, "omniroute_oneproxy_stats");
assert.ok(calls.length >= 0);
});
test("oneproxy stats passa provider e period para MCP", async () => {
let capturedBody: any = null;
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ requests: 5000 }));
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({
name: "omniroute_oneproxy_stats",
arguments: { provider: "openai", period: "24h" },
}),
});
globalThis.fetch = makeMcpStreamFetch({ toolResult: { requests: 5000 } });
const { mcpCallTool } = await import("../../bin/cli/mcpClient.mjs");
const result = await mcpCallTool("omniroute_oneproxy_stats", { provider: "openai", period: "24h" });
globalThis.fetch = origFetch;
assert.equal(capturedBody.arguments.provider, "openai");
assert.equal(capturedBody.arguments.period, "24h");
assert.deepEqual(result, { requests: 5000 });
});
test("oneproxy fetch chama omniroute_oneproxy_fetch com count e type", async () => {
let capturedBody: any = null;
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ proxies: [{ host: "10.0.0.1", type: "http" }] }));
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({
name: "omniroute_oneproxy_fetch",
arguments: { count: 5, type: "http" },
}),
});
globalThis.fetch = makeMcpStreamFetch({ toolResult: { proxies: [{ host: "10.0.0.1", type: "http" }] } });
const { mcpCallTool } = await import("../../bin/cli/mcpClient.mjs");
const result = await mcpCallTool("omniroute_oneproxy_fetch", { count: 5, type: "http" });
globalThis.fetch = origFetch;
assert.equal(capturedBody.name, "omniroute_oneproxy_fetch");
assert.equal(capturedBody.arguments.count, 5);
assert.equal(capturedBody.arguments.type, "http");
assert.equal((result as any).proxies[0].host, "10.0.0.1");
assert.equal((result as any).proxies[0].type, "http");
});
test("oneproxy rotate chama omniroute_oneproxy_rotate com provider", async () => {
let capturedBody: any = null;
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ rotated: true, newProxy: "10.0.0.2" }));
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({
name: "omniroute_oneproxy_rotate",
arguments: { provider: "anthropic" },
}),
});
globalThis.fetch = makeMcpStreamFetch({ toolResult: { rotated: true, newProxy: "10.0.0.2" } });
const { mcpCallTool } = await import("../../bin/cli/mcpClient.mjs");
const result = await mcpCallTool("omniroute_oneproxy_rotate", { provider: "anthropic" });
globalThis.fetch = origFetch;
assert.equal(capturedBody.name, "omniroute_oneproxy_rotate");
assert.equal(capturedBody.arguments.provider, "anthropic");
assert.equal((result as any).rotated, true);
assert.equal((result as any).newProxy, "10.0.0.2");
});
test("oneproxy config set envia PUT /api/settings/oneproxy", async () => {

View File

@@ -1,4 +1,5 @@
import test from "node:test";
import { makeMcpResp, makeMcpStreamFetch } from "./helpers/mcpStreamMock.ts";
import assert from "node:assert/strict";
function makeResp(data: unknown, status = 200) {
@@ -111,25 +112,25 @@ test("resilience reset envia provider e body correto", async () => {
assert.equal(capturedBody.connectionId, "conn-1");
});
test("resilience profile set chama MCP tool", async () => {
let capturedBody: any = null;
test("resilience profile set usa JSON-RPC tools/call", async () => {
let capturedCall: any = null;
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, opts: any) => {
if (opts?.body) capturedBody = JSON.parse(opts.body);
return Promise.resolve(makeResp({ result: {} }));
globalThis.fetch = makeMcpStreamFetch({ toolResult: {} });
const inner = globalThis.fetch;
globalThis.fetch = ((url: any, init: any) => {
if (String(url).includes("/api/mcp/stream") && String(init?.body || "").includes("tools/call")) {
capturedCall = JSON.parse(init.body);
}
return inner(url, init);
}) as any;
await (globalThis.fetch as any)("/api/mcp/tools/call", {
method: "POST",
body: JSON.stringify({
name: "omniroute_set_resilience_profile",
arguments: { profile: "balanced" },
}),
});
const { mcpCallTool } = await import("../../bin/cli/mcpClient.mjs");
await mcpCallTool("omniroute_set_resilience_profile", { profile: "balanced" });
globalThis.fetch = origFetch;
assert.equal(capturedBody.name, "omniroute_set_resilience_profile");
assert.equal(capturedBody.arguments.profile, "balanced");
assert.equal(capturedCall.method, "tools/call");
assert.equal(capturedCall.params.name, "omniroute_set_resilience_profile");
assert.equal(capturedCall.params.arguments.profile, "balanced");
});
test("resilience.mjs pode ser importado sem erro", async () => {

View File

@@ -1,4 +1,5 @@
import test from "node:test";
import { makeMcpResp, makeMcpStreamFetch } from "./helpers/mcpStreamMock.ts";
import assert from "node:assert/strict";
const SKILLS_DATA = [
@@ -114,34 +115,37 @@ test("runSkillsGet busca /api/skills/:id", async () => {
assert.equal(parsed.id, "sk_pdf");
});
test("runSkillsEnable envia POST para tools/call", async () => {
let capturedUrl = "";
let capturedInit: any = null;
test("runSkillsEnable usa JSON-RPC tools/call", async () => {
const calls: unknown[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((url: string, init: any) => {
capturedUrl = url;
capturedInit = init;
return Promise.resolve(makeResp({ ok: true }));
globalThis.fetch = makeMcpStreamFetch({ toolResult: { ok: true } });
const inner = globalThis.fetch;
globalThis.fetch = ((url: unknown, init: unknown) => {
calls.push({ url: String(url), init });
return inner(url, init);
}) as any;
const { runSkillsEnable } = await import("../../bin/cli/commands/skills.mjs");
const out = await captureStdout(() => runSkillsEnable("sk_pdf", {}, makeCmd() as any));
globalThis.fetch = origFetch;
assert.ok(capturedUrl.includes("/api/mcp/tools/call"));
const body = JSON.parse(capturedInit?.body);
assert.equal(body.name, "omniroute_skills_enable");
assert.equal(body.arguments.skillId, "sk_pdf");
assert.equal(body.arguments.enabled, true);
assert.ok(calls.some((x) => String(x.url).includes("/api/mcp/stream")));
const callBody = JSON.parse(calls.find((x) => String(x.init?.body || "").includes("tools/call"))?.init?.body || "{}");
assert.equal(callBody.method, "tools/call");
assert.equal(callBody.params.name, "omniroute_skills_enable");
assert.equal(callBody.params.arguments.skillId, "sk_pdf");
assert.equal(callBody.params.arguments.enabled, true);
assert.ok(out.includes("sk_pdf"));
});
test("runSkillsExecute envia POST com skillId e input", async () => {
let capturedBody: any = null;
test("runSkillsExecute usa JSON-RPC tools/call", async () => {
const calls: unknown[] = [];
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, init: any) => {
capturedBody = JSON.parse(init.body);
return Promise.resolve(makeResp({ result: "ok", output: "parsed" }));
globalThis.fetch = makeMcpStreamFetch({ toolResult: { result: "ok", output: "parsed" } });
const inner = globalThis.fetch;
globalThis.fetch = ((url: unknown, init: unknown) => {
calls.push({ url: String(url), init });
return inner(url, init);
}) as any;
const { runSkillsExecute } = await import("../../bin/cli/commands/skills.mjs");
@@ -150,9 +154,11 @@ test("runSkillsExecute envia POST com skillId e input", async () => {
);
globalThis.fetch = origFetch;
assert.equal(capturedBody.name, "omniroute_skills_execute");
assert.equal(capturedBody.arguments.skillId, "sk_pdf");
assert.deepEqual(capturedBody.arguments.input, { file: "doc.pdf" });
const callBody = JSON.parse(calls.find((x) => String(x.init?.body || "").includes("tools/call"))?.init?.body || "{}");
assert.equal(callBody.method, "tools/call");
assert.equal(callBody.params.name, "omniroute_skills_execute");
assert.equal(callBody.params.arguments.skillId, "sk_pdf");
assert.deepEqual(callBody.params.arguments.input, { file: "doc.pdf" });
});
test("runSkillsExecutions filtra por skill e status", async () => {
@@ -197,9 +203,9 @@ test("runMarketplaceSearch retorna pacotes com query e filtros", async () => {
});
test("runMarketplaceInstall --yes envia POST sem confirmação", async () => {
let capturedBody: any = null;
let capturedBody: unknown = null;
const origFetch = globalThis.fetch;
globalThis.fetch = ((_url: string, init: any) => {
globalThis.fetch = ((_url: string, init: unknown) => {
capturedBody = JSON.parse(init?.body ?? "{}");
return Promise.resolve(makeResp({ skillId: "sk_pdf_installed" }));
}) as any;

View File

@@ -14,6 +14,7 @@ import {
} from "../../open-sse/executors/conol-web.ts";
import {
CONOL_FALLBACK_MODELS,
CONOL_FALLBACK_MODEL_PRESETS,
clampConolEffort,
parseConolAgentServers,
resolveConolModelSelection,
@@ -27,6 +28,11 @@ import { getResolvedModelCapabilities } from "../../src/lib/modelCapabilities.ts
const SESSION_COOKIE_NAME = "__Secure-better-auth.session_token";
describe("Conol web provider", () => {
it("routes the Flash preset multimodal path to Gemini 3.7", () => {
const flashPreset = CONOL_FALLBACK_MODEL_PRESETS.find((preset) => preset.id === "flash");
assert.equal(flashPreset?.multimodal, "google/gemini-3.7-flash");
});
it("normalizes raw, full-header, JSON, and provider-data credentials", () => {
assert.equal(normalizeConolCookie("token-value"), `${SESSION_COOKIE_NAME}=token-value`);
assert.equal(

View File

@@ -55,7 +55,7 @@ describe("GithubExecutor — Gemini/Claude must never hit /responses (port 9rout
it("routes registered Gemini Copilot models to chat/completions", () => {
const exec = new GithubExecutor();
for (const id of ["gemini-3.1-pro-preview", "gemini-3.5-flash"]) {
for (const id of ["gemini-3.1-pro-preview", "gemini-3.7-flash"]) {
assert.equal(exec.buildUrl(id, false), CHAT_URL, `${id} must route to chat/completions`);
}
});

View File

@@ -0,0 +1,93 @@
import test from "node:test";
import assert from "node:assert/strict";
import { execFileSync } from "node:child_process";
import { readFileSync, existsSync } from "node:fs";
import { resolve, dirname } from "node:path";
import { fileURLToPath } from "node:url";
// #11016 follow-up (suggested by maintainer on PR #11029): assert that the
// disabled boot path produces the correct "[STARTUP] Credential health scheduler
// disabled" log at runtime.
//
// Two complementary assertions:
// 1. Runtime: spawn a subprocess that imports the real scheduler with the disable
// env set, calls initCredentialHealthCheck(), and logs the result using the
// same conditional from instrumentation-node.ts — verifying the actual output.
// 2. Static: read src/instrumentation-node.ts and assert the boot wiring still
// uses initCredentialHealthCheck()'s return value to select the log message.
// This breaks if the production conditional is removed or refactored away.
const thisDir = dirname(fileURLToPath(import.meta.url));
const projectRoot = resolve(thisDir, "../..");
// In CI: projectRoot has a real node_modules.
// In a worktree: the junction may not work with tsx; fall back to the main checkout.
function resolveMainCheckout(): string {
const hasRealNodeModules = existsSync(resolve(projectRoot, "node_modules", ".package-lock.json"));
if (hasRealNodeModules) return projectRoot;
const candidate = resolve(projectRoot, "../../..");
if (existsSync(resolve(candidate, "node_modules", ".package-lock.json"))) return candidate;
return projectRoot;
}
const mainCwd = resolveMainCheckout();
const BOOT_DISABLED_SCRIPT = `
process.env.OMNIROUTE_DISABLE_CREDENTIAL_HEALTH_CHECK = "true";
const { initCredentialHealthCheck } = await import(
"./src/lib/credentialHealth/scheduler.ts"
);
const started = initCredentialHealthCheck();
console.log(
started
? "[STARTUP] Credential health scheduler started"
: "[STARTUP] Credential health scheduler disabled"
);
process.exit(0);
`;
test("disabled scheduler emits [STARTUP] Credential health scheduler disabled via the real initCredentialHealthCheck", () => {
const result = execFileSync(
process.execPath,
["--import", "tsx/esm", "--input-type=module", "--eval", BOOT_DISABLED_SCRIPT],
{
cwd: mainCwd,
env: {
...process.env,
OMNIROUTE_DISABLE_CREDENTIAL_HEALTH_CHECK: "true",
NODE_NO_WARNINGS: "1",
},
encoding: "utf8",
timeout: 30_000,
}
);
assert.match(
result,
/\[STARTUP\] Credential health scheduler disabled/,
"must log the disabled message when OMNIROUTE_DISABLE_CREDENTIAL_HEALTH_CHECK is set"
);
assert.doesNotMatch(
result,
/\[STARTUP\] Credential health scheduler started/,
"must NOT log the started message when disabled"
);
});
test("instrumentation-node.ts wires initCredentialHealthCheck return to the log conditional", () => {
const src = readFileSync(
resolve(projectRoot, "src/instrumentation-node.ts"),
"utf8"
).replace(/\r\n/g, "\n");
assert.match(
src,
/const started = initCredentialHealthCheck\(\)/,
"boot wiring must capture the return value of initCredentialHealthCheck()"
);
assert.match(
src,
/started[\s\S]{0,50}\?[\s\S]{0,80}scheduler started[\s\S]{0,50}:[\s\S]{0,80}scheduler disabled/,
"boot wiring must use the return value to select started vs disabled log"
);
});

View File

@@ -8,6 +8,10 @@ function modelIds(): Set<string> {
return new Set(cursorProvider.models.map((m) => m.id));
}
test("cursor registry excludes retired Gemini 3.5 Flash", () => {
assert.equal(modelIds().has("gemini-3.5-flash"), false);
});
test("cursor registry includes Claude Opus 4.8 effort + thinking + fast variants", () => {
const ids = modelIds();
for (const effort of EFFORTS) {

View File

@@ -56,7 +56,7 @@ describe("PromptQl — registry consistency", () => {
it("registers a model catalog via getModelsByProviderId", () => {
const catalog = getModelsByProviderId("promptql");
assert.ok(catalog.length >= 5);
assert.ok(catalog.some((m) => m.id === "gemini-3.5-flash" || m.id.includes("gemini")));
assert.ok(catalog.some((m) => m.id === "gemini-3.7-flash" || m.id.includes("gemini")));
assert.ok(catalog.some((m) => m.id.includes("gpt-5.6") || m.id.includes("fable")));
});
});
@@ -209,7 +209,10 @@ describe("PromptQl — helpers", () => {
});
it("resolves model slugs and prefixes", () => {
assert.equal(models.clientFacingPromptQlModelId("promptql/gemini-3.5-flash"), "gemini-3.5-flash");
assert.equal(
models.clientFacingPromptQlModelId("promptql/gemini-3.7-flash"),
"gemini-3.7-flash"
);
assert.equal(models.clientFacingPromptQlModelId("pql/gpt-5.6-sol"), "gpt-5.6-sol");
const r = models.resolvePromptQlModel("Claude Fable 5");
assert.ok(r);
@@ -265,7 +268,7 @@ describe("PromptQlExecutor — auth / validation", () => {
it("returns 401 when no token is supplied", async () => {
const executor = new mod.PromptQlExecutor();
const result = await executor.execute({
model: "gemini-3.5-flash",
model: "gemini-3.7-flash",
body: { messages: [{ role: "user", content: "hi" }] },
stream: false,
credentials: {},
@@ -279,7 +282,7 @@ describe("PromptQlExecutor — auth / validation", () => {
it("returns 400 when no user message is present", async () => {
const executor = new mod.PromptQlExecutor();
const result = await executor.execute({
model: "gemini-3.5-flash",
model: "gemini-3.7-flash",
body: { messages: [{ role: "assistant", content: "hi" }] },
stream: false,
credentials: { apiKey: sampleJwt },
@@ -614,7 +617,7 @@ describe("PromptQlExecutor — mocked GraphQL turn", () => {
try {
const executor = new mod.PromptQlExecutor();
const result = await executor.execute({
model: "gemini-3.5-flash",
model: "gemini-3.7-flash",
body: { messages: [{ role: "user", content: "ping" }] },
stream: false,
credentials: { apiKey: sampleJwt },
@@ -628,7 +631,7 @@ describe("PromptQlExecutor — mocked GraphQL turn", () => {
};
assert.equal(json.choices[0]!.message.content, "HELLO-PQL");
assert.equal(json.promptql_thread_id, "thread-1");
assert.equal(json.model, "gemini-3.5-flash");
assert.equal(json.model, "gemini-3.7-flash");
assert.ok(call >= 2);
assert.equal(result.response.headers.get("X-PromptQL-Thread-Id"), "thread-1");
} finally {

View File

@@ -1,76 +0,0 @@
// Regression test for #10286: gemini-3.5-flash was incorrectly marked
// supportsThinking:false, causing a spurious pre-provider HTTP 400 for any
// request with reasoning_effort set, even though the base Google AI Studio
// model supports reasoning (it has an effort-tier alias gemini-3.5-flash-high).
import test from "node:test";
import assert from "node:assert/strict";
import fs from "node:fs";
import os from "node:os";
import path from "node:path";
const TEST_DATA_DIR = fs.mkdtempSync(path.join(os.tmpdir(), "omniroute-repro-10286-"));
process.env.DATA_DIR = TEST_DATA_DIR;
process.env.API_KEY_SECRET = process.env.API_KEY_SECRET || "test-repro-10286-secret";
const caps = await import("../../src/lib/modelCapabilities.ts");
const core = await import("../../src/lib/db/core.ts");
const rulesDb = await import("../../src/lib/db/reasoningRoutingRules.ts");
const policy = await import("../../src/lib/reasoningRouting/policy.ts");
async function resetStorage() {
core.resetDbInstance();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
fs.mkdirSync(TEST_DATA_DIR, { recursive: true });
rulesDb.invalidateReasoningRoutingRuleCache();
}
function ruleInput(patch: Record<string, unknown> = {}) {
return {
name: "Enable thinking on gemini-3.5-flash",
description: "",
scope: "global",
apiKeyId: null,
comboId: null,
connectionId: null,
modelPattern: "gemini-3.5-flash",
sourceEffort: "any",
requestTags: [],
tagMatchMode: "any",
effortMode: "inherit",
targetEffort: null,
targetKind: "keep",
targetModel: null,
targetComboId: null,
budgetAction: "preserve",
budgetTokens: null,
priority: 0,
enabled: true,
...patch,
};
}
test.beforeEach(resetStorage);
test.after(async () => {
await resetStorage();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
});
test("gemini-3.5-flash (AI Studio provider) resolves as thinking-capable", () => {
const resolved = caps.getResolvedModelCapabilities({
provider: "gemini",
model: "gemini-3.5-flash",
});
assert.equal(resolved.supportsThinking, true);
});
test("reasoning_effort 'high' on gemini-3.5-flash is NOT rejected by routing policy", async () => {
await rulesDb.createReasoningRoutingRule(ruleInput());
const decision = await policy.resolveReasoningRoutingRule({
sourceModel: "gemini/gemini-3.5-flash",
sourceModelAliases: ["gemini-3.5-flash"],
sourceEffort: "high",
hasReasoningSignal: true,
});
assert.ok(decision, "a matching rule must produce a decision");
assert.equal(decision.capability, "supported");
});

View File

@@ -71,7 +71,7 @@ test("OpenAI -> Gemini request strips encrypted from Codex collaboration tool pa
],
};
const result = openaiToGeminiRequest("gemini-3.5-flash-low", body, false) as {
const result = openaiToGeminiRequest("gemini-3.7-flash-low", body, false) as {
tools?: Array<{ functionDeclarations?: Array<{ parameters: unknown }> }>;
};

View File

@@ -14,6 +14,16 @@ const SAMPLE = {
supportedGenerationMethods: ["generateContent", "countTokens", "batchGenerateContent"],
thinking: true,
},
{
name: "models/gemini-3.5-flash",
displayName: "Gemini 3.5 Flash",
supportedGenerationMethods: ["generateContent"],
},
{
name: "models/gemini-3.5-flash-lite",
displayName: "Gemini 3.5 Flash Lite",
supportedGenerationMethods: ["generateContent"],
},
{
name: "models/gemini-3-pro-image-preview",
displayName: "Gemini 3 Pro Image Preview",
@@ -48,6 +58,12 @@ test("parseGeminiModelsList strips the models/ prefix and maps display name", ()
assert.deepEqual(flash!.supportedEndpoints, ["chat"]);
});
test("parseGeminiModelsList excludes retired Gemini 3.5 Flash but keeps Flash Lite", () => {
const ids = parseGeminiModelsList(SAMPLE).map((model) => model.id);
assert.equal(ids.includes("gemini-3.5-flash"), false);
assert.equal(ids.includes("gemini-3.5-flash-lite"), true);
});
test("parseGeminiModelsList maps generateContent image models to the chat endpoint", () => {
const models = parseGeminiModelsList(SAMPLE);
const proImage = models.find((m) => m.id === "gemini-3-pro-image-preview");

View File

@@ -56,7 +56,7 @@ test("OpenAI -> Gemini request strips strict from OpenAI-style function tool par
],
};
const result = openaiToGeminiRequest("gemini-3.5-flash-low", body, false) as {
const result = openaiToGeminiRequest("gemini-3.7-flash-low", body, false) as {
tools?: Array<{ functionDeclarations?: Array<{ parameters: unknown }> }>;
};

View File

@@ -99,7 +99,7 @@ test("buildUrl uses chat/completions endpoint for gemini models", () => {
};
// Gemini has no native shim on Copilot — it stays on /chat/completions.
assert.strictEqual(
executor.buildUrl("gemini-3.5-flash", true, 0, credentials),
executor.buildUrl("gemini-3.7-flash", true, 0, credentials),
"https://ghe.company.com/chat/completions"
);
});

View File

@@ -40,7 +40,11 @@ const EXPECTED: Record<InventoryKind, Record<string, number>> = {
"src/app/api/v1/session-leases/route.ts": 1,
"src/app/api/v1/videos/generations/route.ts": 2,
"src/app/api/v1/web/fetch/route.ts": 1,
"src/lib/embeddings/service.ts": 2,
// #11088/#11271: third site is the synced local-endpoint route — it resolves
// credentials through getProviderCredentials with the connection allowlist
// from resolveLocalSyncedEndpointRoute, and handles allRateLimited, so it is
// fenced the same way as the two pre-existing sites.
"src/lib/embeddings/service.ts": 3,
"src/lib/memory/embedding/index.ts": 1,
"src/lib/search/executeWebSearch.ts": 2,
"src/lib/skills/webFetchExecution.ts": 1,

View File

@@ -0,0 +1,49 @@
import type { Response as Resp } from "undici";
// Minimal fetch mock responses that satisfy what apiFetch needs.
export function makeMcpResp(data: unknown, status = 200, headers: Record<string, string> = {}) {
const hdrs = new Headers({ "content-type": "application/json", ...headers });
const obj = {
ok: status < 400,
status,
json: () => Promise.resolve(data),
text: () => Promise.resolve(typeof data === "string" ? data : JSON.stringify(data)),
headers: hdrs,
} as unknown as Resp;
return obj;
}
export function makeMcpStreamFetch({
toolResult = { content: [{ type: "text", text: "ok" }] },
initStatus = 200,
callStatus = 200,
callError = false,
} = {}) {
return (async (url: string | URL, init?: unknown) => {
const u = String(url);
if (!u.includes("/api/mcp/stream")) {
return makeMcpResp({ error: "not found" }, 404);
}
const body = init?.body ? JSON.parse(init.body) : {};
if (body.method === "initialize") {
return makeMcpResp(
{ jsonrpc: "2.0", id: body.id, result: { protocolVersion: "2024-11-05", capabilities: {} } },
initStatus,
initStatus < 400 ? { "mcp-session-id": "sess-test" } : {},
);
}
if (body.method === "tools/call") {
if (callStatus !== 200) return makeMcpResp({ error: "tool failure" }, callStatus);
if (callError) {
return makeMcpResp({
jsonrpc: "2.0",
id: body.id,
result: { content: [{ type: "text", text: "tool error" }], isError: true },
});
}
return makeMcpResp({ jsonrpc: "2.0", id: body.id, result: toolResult });
}
return makeMcpResp({ error: "unknown method" }, 400);
}) as unknown as typeof globalThis.fetch;
}

View File

@@ -0,0 +1,77 @@
import { describe, it } from "node:test";
import assert from "node:assert/strict";
import { readFileSync } from "node:fs";
import { dirname, join } from "node:path";
import { fileURLToPath } from "node:url";
const repoRoot = join(dirname(fileURLToPath(import.meta.url)), "../..");
function readHomePage(): string {
return readFileSync(
join(repoRoot, "src/app/(dashboard)/home/page.tsx"),
"utf8",
);
}
function readReadinessCard(): string {
return readFileSync(
join(repoRoot, "src/app/(dashboard)/dashboard/FirstRunReadinessCard.tsx"),
"utf8",
);
}
function readEnKeys(): string[] {
const en = JSON.parse(
readFileSync(join(repoRoot, "src/i18n/messages/en.json"), "utf8"),
) as { home: Record<string, string> };
return Object.keys(en.home);
}
describe("home page first-run readiness card", () => {
it("does not hard-redirect incomplete setup to onboarding", () => {
const source = readHomePage();
assert.doesNotMatch(source, /redirect\(["']\/dashboard\/onboarding["']\)/);
assert.match(source, /FirstRunReadinessCard/);
assert.match(source, /setupComplete=\{Boolean\(settings\.setupComplete\)\}/);
});
it("keeps the readiness card dismissable via localStorage", () => {
const source = readReadinessCard();
assert.match(source, /omniroute-first-run-readiness-dismissed/);
assert.match(source, /localStorage/);
assert.match(source, /readinessContinue/);
assert.match(source, /readinessDismiss/);
});
it("uses t() keys for readiness copy", () => {
const source = readReadinessCard();
for (const key of [
"readinessEyebrow",
"readinessTitle",
"readinessSubtitle",
"readinessStep1",
"readinessStep2",
"readinessStep3",
"readinessStep4",
]) {
assert.match(source, new RegExp(key));
}
});
it("new i18n keys exist in en.json home namespace", () => {
const keys = readEnKeys();
for (const key of [
"readinessEyebrow",
"readinessTitle",
"readinessSubtitle",
"readinessStep1",
"readinessStep2",
"readinessStep3",
"readinessStep4",
"readinessContinue",
"readinessDismiss",
]) {
assert.ok(keys.includes(key), `Missing home.${key}`);
}
});
});

View File

@@ -279,6 +279,7 @@ test("antigravity sync dynamically builds and saves mitmAlias mappings", async (
mode: "sync",
fetchedModels: [
{ id: "gemini-3.5-flash", name: "Gemini 3.5 Flash" },
{ id: "gemini-3.7-flash-high", name: "Gemini 3.7 Flash High" },
{ id: "custom-antigravity-model", name: "Custom Antigravity Model" },
],
});
@@ -289,8 +290,13 @@ test("antigravity sync dynamically builds and saves mitmAlias mappings", async (
const mitmMappings = await modelsDb.getMitmAlias("antigravity");
console.log("MITM MAPPINGS IN TEST:", mitmMappings);
// Should contain standard mapping
assert.equal(mitmMappings["gemini-3.5-flash"], "antigravity/gemini-3.5-flash");
// Retired models reported by upstream must not be imported or mapped.
assert.equal(mitmMappings["gemini-3.5-flash"], undefined);
assert.equal(
models.some((model) => model.id === "gemini-3.5-flash"),
false
);
assert.equal(mitmMappings["gemini-3.7-flash-high"], "antigravity/gemini-3.7-flash-high");
assert.equal(mitmMappings["custom-antigravity-model"], "antigravity/custom-antigravity-model");
// Removed Antigravity 2.0 preview/agent aliases must not be reintroduced.

View File

@@ -154,21 +154,14 @@ test("unknown models keep maxOutputTokens null instead of using a generic defaul
);
});
test("provider-neutral Gemini 3.5 tier IDs retain their non-thinking capabilities", () => {
test("retired Gemini 3.5 Flash IDs have no provider-neutral model specs", () => {
for (const modelId of [
"gemini-3.5-flash",
"gemini-3.5-flash-extra-low",
"gemini-3.5-flash-low",
"gemini-3-flash-agent",
]) {
const spec = MODEL_SPECS[modelId];
assert.ok(spec, `missing exact MODEL_SPECS entry for ${modelId}`);
const capabilities = modelCapabilities.getResolvedModelCapabilities(modelId);
assert.equal(capabilities.contextWindow, 1048576, modelId);
assert.equal(capabilities.maxOutputTokens, 65536, modelId);
// These ids encode the upstream reasoning tier and do not accept a client-supplied effort.
assert.equal(capabilities.supportsThinking, false, modelId);
assert.equal(capabilities.supportsTools, true, modelId);
assert.equal(capabilities.supportsVision, true, modelId);
assert.equal(MODEL_SPECS[modelId], undefined, modelId);
}
});

View File

@@ -702,6 +702,7 @@ test("v1 models catalog exposes current Antigravity aliases without retired mode
assert.equal(ids.has("antigravity/gemini-3.6-flash-high"), false);
assert.equal(ids.has("antigravity/gemini-3.6-flash-medium"), false);
assert.equal(ids.has("antigravity/gemini-3.6-flash-low"), false);
assert.equal(ids.has("antigravity/gemini-3.5-flash"), false);
assert.equal(ids.has("antigravity/gemini-3.5-flash-extra-low"), false);
assert.equal(ids.has("antigravity/gemini-3.5-flash-low"), false);
assert.equal(ids.has("antigravity/gemini-3-flash-agent"), false);

View File

@@ -0,0 +1,205 @@
import test from "node:test";
import assert from "node:assert/strict";
import fs from "node:fs";
import os from "node:os";
import path from "node:path";
const TEST_DATA_DIR = fs.mkdtempSync(path.join(os.tmpdir(), "omniroute-ollama-capabilities-"));
process.env.DATA_DIR = TEST_DATA_DIR;
process.env.APP_LOG_TO_FILE = "false";
process.env.API_KEY_SECRET = "ollama-capabilities-test-secret";
process.env.REQUIRE_API_KEY = "false";
const core = await import("../../src/lib/db/core.ts");
const providersDb = await import("../../src/lib/db/providers.ts");
const modelsDb = await import("../../src/lib/db/models.ts");
const providerModelsRoute = await import("../../src/app/api/providers/[id]/models/route.ts");
const v1ModelsCatalog = await import("../../src/app/api/v1/models/catalog.ts");
const imageRoute = await import("../../src/app/api/v1/images/generations/route.ts");
const { createEmbeddingResponse } = await import("../../src/lib/embeddings/service.ts");
const originalFetch = globalThis.fetch;
function resetStorage() {
globalThis.fetch = originalFetch;
core.resetDbInstance();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
fs.mkdirSync(TEST_DATA_DIR, { recursive: true });
}
async function seedOllamaConnection(baseUrl = "http://127.0.0.1:11434/v1", priority = 1) {
return providersDb.createProviderConnection({
provider: "ollama-local",
authType: "apikey",
name: "Ollama test host",
apiKey: "test-key",
isActive: true,
testStatus: "active",
priority,
providerSpecificData: { baseUrl },
});
}
test.beforeEach(resetStorage);
test.after(() => {
globalThis.fetch = originalFetch;
core.resetDbInstance();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
});
test("Ollama discovery maps /api/show capabilities into connection-scoped model metadata", async () => {
const connection = await seedOllamaConnection();
const showCapabilities: Record<string, string[]> = {
"image-model": ["image"],
"embedding-model": ["embedding"],
"chat-model": ["completion", "vision", "tools", "thinking"],
};
const calledUrls: string[] = [];
globalThis.fetch = async (input, init = {}) => {
const url = String(input);
calledUrls.push(url);
if (url.endsWith("/v1/models")) {
return Response.json({
data: Object.keys(showCapabilities).map((id) => ({ id, object: "model" })),
});
}
if (url.endsWith("/api/show")) {
const body = JSON.parse(String(init.body || "{}")) as { model?: string };
return Response.json({ capabilities: showCapabilities[body.model || ""] || [] });
}
return new Response("not found", { status: 404 });
};
const response = await providerModelsRoute.GET(
new Request(`http://localhost/api/providers/${connection.id}/models?refresh=true`),
{ params: { id: connection.id } }
);
const body = (await response.json()) as {
models: Array<{
id: string;
apiFormat?: string;
supportedEndpoints?: string[];
supportsVision?: boolean;
supportsTools?: boolean;
supportsThinking?: boolean;
}>;
};
assert.equal(response.status, 200);
assert.ok(calledUrls.some((url) => url.endsWith("/api/show")));
assert.deepEqual(body.models.find((model) => model.id === "image-model")?.supportedEndpoints, [
"images",
]);
assert.equal(
body.models.find((model) => model.id === "image-model")?.apiFormat,
"images-generations"
);
assert.deepEqual(
body.models.find((model) => model.id === "embedding-model")?.supportedEndpoints,
["embeddings"]
);
assert.equal(
body.models.find((model) => model.id === "embedding-model")?.apiFormat,
"embeddings"
);
const chatModel = body.models.find((model) => model.id === "chat-model");
assert.deepEqual(chatModel?.supportedEndpoints, ["chat"]);
assert.equal(chatModel?.supportsVision, true);
assert.equal(chatModel?.supportsTools, true);
assert.equal(chatModel?.supportsThinking, true);
const persisted = await modelsDb.getSyncedAvailableModelsForConnection(
"ollama-local",
connection.id
);
assert.deepEqual(persisted.find((model) => model.id === "image-model")?.supportedEndpoints, [
"images",
]);
assert.deepEqual(persisted.find((model) => model.id === "embedding-model")?.supportedEndpoints, [
"embeddings",
]);
const catalogResponse = await v1ModelsCatalog.getUnifiedModelsResponse(
new Request("http://localhost/v1/models")
);
const catalog = (await catalogResponse.json()) as {
data: Array<{
id: string;
type?: string;
supported_endpoints?: string[];
capabilities?: Record<string, boolean>;
}>;
};
const imageCatalogModel = catalog.data.find((model) => model.id.endsWith("/image-model"));
assert.equal(imageCatalogModel?.type, "image");
assert.deepEqual(imageCatalogModel?.supported_endpoints, ["images"]);
const embeddingCatalogModel = catalog.data.find((model) => model.id.endsWith("/embedding-model"));
assert.equal(embeddingCatalogModel?.type, "embedding");
assert.deepEqual(embeddingCatalogModel?.supported_endpoints, ["embeddings"]);
const chatCatalogModel = catalog.data.find((model) => model.id.endsWith("/chat-model"));
assert.equal(chatCatalogModel?.capabilities?.vision, true);
assert.equal(chatCatalogModel?.capabilities?.tool_calling, true);
assert.equal(chatCatalogModel?.capabilities?.reasoning, true);
});
test("Ollama image model routes through its advertising connection", async () => {
await seedOllamaConnection("http://127.0.0.1:11434/v1", 1);
const connection = await seedOllamaConnection("http://127.0.0.1:11435/v1", 2);
await modelsDb.replaceSyncedAvailableModelsForConnection("ollama-local", connection.id, [
{
id: "image-model",
name: "Image Model",
apiFormat: "images-generations",
supportedEndpoints: ["images"],
},
]);
let capturedUrl = "";
globalThis.fetch = async (input) => {
capturedUrl = String(input);
return Response.json({ data: [{ b64_json: "aW1hZ2U=" }] });
};
const response = await imageRoute.POST(
new Request("http://localhost/v1/images/generations", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ model: "ollama-local/image-model", prompt: "test image" }),
})
);
assert.equal(response.status, 200, await response.text());
assert.equal(capturedUrl, "http://127.0.0.1:11435/v1/images/generations");
});
test("Ollama embedding model routes through its advertising connection", async () => {
await seedOllamaConnection("http://127.0.0.1:11434/v1", 1);
const connection = await seedOllamaConnection("http://127.0.0.1:11436/v1", 2);
await modelsDb.replaceSyncedAvailableModelsForConnection("ollama-local", connection.id, [
{
id: "embedding-model",
name: "Embedding Model",
apiFormat: "embeddings",
supportedEndpoints: ["embeddings"],
},
]);
let capturedUrl = "";
globalThis.fetch = async (input) => {
capturedUrl = String(input);
return Response.json({
data: [{ object: "embedding", embedding: [0.1, 0.2], index: 0 }],
usage: { prompt_tokens: 2, total_tokens: 2 },
});
};
const response = await createEmbeddingResponse({
model: "ollama-local/embedding-model",
input: "hello",
});
assert.equal(response.status, 200, await response.text());
assert.equal(capturedUrl, "http://127.0.0.1:11436/v1/embeddings");
});

View File

@@ -60,7 +60,7 @@ test("buildOmniRouteResponseMetaHeaders keeps ASCII model header values unchange
});
test("buildOmniRouteResponseMetaHeaders percent-encodes non-ASCII model header values", () => {
const model = "free-mix/[假流式]gemini-3.5-flash";
const model = "free-mix/[假流式]gemini-3.7-flash";
const headers = buildOmniRouteResponseMetaHeaders({
provider: "openai",
model,

View File

@@ -0,0 +1,120 @@
/**
* Console Go (opencode.ai/zen/go/v1) reasoning-effort vocabulary clamp.
*
* Live-reproduced 2026-08-23 via the Hermes Telegram bot → /v1/chat/completions:
* `opencode-go/ox-alpha-free` rejects every reasoning_effort except
* {low, high, max} whenever the request carries tools —
*
* [400] Error from provider (Console Go): Upstream request failed: [1210]
* This model always engages in thinking and cannot be disabled; please use
* low, high, or max
*
* Hermes sends reasoning_effort:"medium" with 24 tools and died on every turn.
* Two gaps let the bad value reach the upstream verbatim:
* 1. `ox-alpha-free` is a discovery-synced model with no static registry
* entry declaring its effort vocabulary.
* 2. sanitizeReasoningEffortForProvider only consults declared
* supportedThinkingEfforts in the `max` branch (max fallback); other
* out-of-vocabulary values pass through untouched.
*
* Fix under test: declare ["low","high","max"] on the registry entry and add a
* generic explicit-capability clamp that remaps any out-of-vocabulary effort to
* the nearest declared tier (smallest ranked ≥ requested, else the highest).
* Models without a declaration keep today's pass-through behavior (#8057).
*/
import test from "node:test";
import assert from "node:assert/strict";
const { sanitizeReasoningEffortForProvider } = await import("../../open-sse/executors/base.ts");
const { REGISTRY } = await import("../../open-sse/config/providerRegistry.ts");
function makeLog() {
const messages: Array<[string, string]> = [];
return {
info: (tag: string, msg: string) => messages.push([tag, msg]),
messages,
};
}
const HERMES_BODY = {
model: "ox-alpha-free",
max_tokens: 65536,
stream_options: { include_usage: true },
messages: [{ role: "user", content: "Start telegram bot" }],
tools: [
{
type: "function",
function: { name: "clarify", description: "ask", parameters: { type: "object" } },
},
],
};
test("registry: opencode-go declares ox-alpha-free with the live-verified Console Go effort set", () => {
const entry = REGISTRY["opencode-go"];
assert.ok(entry, "opencode-go registry entry must exist");
const model = entry.models.find((m) => m.id === "ox-alpha-free");
assert.ok(model, "ox-alpha-free must be registered on opencode-go");
assert.deepEqual(model.supportedThinkingEfforts, ["low", "high", "max"]);
});
test("clamp: medium → high for ox-alpha-free (the exact Hermes failure)", () => {
const log = makeLog();
const body = { ...HERMES_BODY, reasoning_effort: "medium" };
const result = sanitizeReasoningEffortForProvider(body, "opencode-go", "ox-alpha-free", log);
assert.notEqual(result, body, "must return a new object when mutating");
assert.equal((result as Record<string, unknown>).reasoning_effort, "high");
assert.ok(
log.messages.some(([tag, m]) => tag === "REASONING_SANITIZE" && /medium → high/.test(m)),
"logs the mapping"
);
});
test("clamp: disable-shaped efforts map to low (upstream refuses to stop thinking)", () => {
for (const effort of ["none", "minimal"]) {
const body = { ...HERMES_BODY, reasoning_effort: effort };
const result = sanitizeReasoningEffortForProvider(body, "opencode-go", "ox-alpha-free", null);
assert.equal(
(result as Record<string, unknown>).reasoning_effort,
"low",
`${effort} → low`
);
}
});
test("clamp: xhigh → max for ox-alpha-free", () => {
const body = { ...HERMES_BODY, reasoning_effort: "xhigh" };
const result = sanitizeReasoningEffortForProvider(body, "opencode-go", "ox-alpha-free", null);
assert.equal((result as Record<string, unknown>).reasoning_effort, "max");
});
test("clamp: in-vocabulary efforts pass through untouched", () => {
for (const effort of ["low", "high", "max"]) {
const body = { ...HERMES_BODY, reasoning_effort: effort };
const result = sanitizeReasoningEffortForProvider(body, "opencode-go", "ox-alpha-free", null);
assert.equal(result, body, `${effort} must not be rewritten`);
assert.equal((result as Record<string, unknown>).reasoning_effort, effort);
}
});
test("clamp writes back to every carrier present (top-level + reasoning.effort + output_config.effort)", () => {
const body = {
...HERMES_BODY,
reasoning_effort: "medium",
reasoning: { effort: "medium" },
output_config: { effort: "medium" },
};
const result = sanitizeReasoningEffortForProvider(body, "opencode-go", "ox-alpha-free", null) as Record<
string,
unknown
>;
assert.equal(result.reasoning_effort, "high");
assert.deepEqual(result.reasoning, { effort: "high" });
assert.deepEqual(result.output_config, { effort: "high" });
});
test("no declaration → pass-through unchanged (#8057 policy for unlisted models)", () => {
const body = { ...HERMES_BODY, model: "some-unregistered-model", reasoning_effort: "medium" };
const result = sanitizeReasoningEffortForProvider(body, "opencode-go", "some-unregistered-model", null);
assert.equal(result, body, "undeclared models keep today's trust-the-upstream behavior");
assert.equal((result as Record<string, unknown>).reasoning_effort, "medium");
});

View File

@@ -288,7 +288,7 @@ test("hidden provider models are filtered from per-model quota rows", () => {
});
const hidden = providerLimitUtils.collectHiddenQuotaModelIds("antigravity", {
models: [{ id: "antigravity/gpt-oss-120b-medium", isHidden: true }],
modelCompatOverrides: [{ id: "gemini-3.5-flash", isHidden: true }],
modelCompatOverrides: [{ id: "gemini-3.7-flash", isHidden: true }],
});
const visible = providerLimitUtils.filterHiddenModelQuotas("antigravity", quotas, hidden);

View File

@@ -130,6 +130,9 @@ describe("isOriginAllowed", () => {
assert.equal(isOriginAllowed("http://127.0.0.1:20128", EMPTY_ENV), true);
assert.equal(isOriginAllowed("http://localhost:20128", EMPTY_ENV), true);
assert.equal(isOriginAllowed("http://[::1]:20128", EMPTY_ENV), true);
// 0.0.0.0 is loopback-equivalent in the browser; the dashboard is often
// opened at http://0.0.0.0:20128, which sends exactly that Origin on WS.
assert.equal(isOriginAllowed("http://0.0.0.0:20128", EMPTY_ENV), true);
});
it("accepts an Origin matching LIVE_WS_ALLOWED_ORIGINS", () => {

View File

@@ -394,7 +394,7 @@ test("parseSSEToGeminiResponse extracts tool calls from textual format", () => {
})}`,
].join("\n");
const parsed = parseSSEToGeminiResponse(rawSSE, "gemini-3.5-flash-low");
const parsed = parseSSEToGeminiResponse(rawSSE, "gemini-3.7-flash-low");
assert.ok(parsed);
assert.equal(parsed.choices[0].finish_reason, "tool_calls");

View File

@@ -232,14 +232,14 @@ test("createSSEStream passthrough converts textual tool-call content into struct
id: "chatcmpl_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: { role: "assistant", content: toolText } }],
})}\n\n`,
`data: ${JSON.stringify({
id: "chatcmpl_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
})}\n\n`,
],
@@ -247,7 +247,7 @@ test("createSSEStream passthrough converts textual tool-call content into struct
mode: "passthrough",
sourceFormat: FORMATS.OPENAI,
provider: "antigravity",
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
body: {
messages: [{ role: "user", content: "inspect db" }],
},
@@ -284,21 +284,21 @@ test("createSSEStream passthrough converts split textual tool-call content at co
id: "chatcmpl_split_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: { role: "assistant", content: chunks[0] } }],
})}\n\n`,
`data: ${JSON.stringify({
id: "chatcmpl_split_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: { content: chunks[1] } }],
})}\n\n`,
`data: ${JSON.stringify({
id: "chatcmpl_split_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
})}\n\n`,
],
@@ -306,7 +306,7 @@ test("createSSEStream passthrough converts split textual tool-call content at co
mode: "passthrough",
sourceFormat: FORMATS.OPENAI,
provider: "antigravity",
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
body: { messages: [{ role: "user", content: "inspect db" }] },
onComplete(payload) {
onCompletePayload = payload;
@@ -340,28 +340,28 @@ test("createSSEStream passthrough handles textual tool-call content split inside
id: "chatcmpl_split_prefix_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: { role: "assistant", content: chunks[0] } }],
})}\n\n`,
`data: ${JSON.stringify({
id: "chatcmpl_split_prefix_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: { content: chunks[1] } }],
})}\n\n`,
`data: ${JSON.stringify({
id: "chatcmpl_split_prefix_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: { content: chunks[2] } }],
})}\n\n`,
`data: ${JSON.stringify({
id: "chatcmpl_split_prefix_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
})}\n\n`,
],
@@ -369,7 +369,7 @@ test("createSSEStream passthrough handles textual tool-call content split inside
mode: "passthrough",
sourceFormat: FORMATS.OPENAI,
provider: "antigravity",
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
body: { messages: [{ role: "user", content: "inspect db" }] },
onComplete(payload) {
onCompletePayload = payload;
@@ -515,14 +515,14 @@ Arguments: {"path":"/opt/OmniRoute/src","target":"files"}`;
id: "chatcmpl_unknown_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: { role: "assistant", content: toolText } }],
})}\n\n`,
`data: ${JSON.stringify({
id: "chatcmpl_unknown_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
})}\n\n`,
],
@@ -530,7 +530,7 @@ Arguments: {"path":"/opt/OmniRoute/src","target":"files"}`;
mode: "passthrough",
sourceFormat: FORMATS.OPENAI,
provider: "antigravity",
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
body: {
messages: [{ role: "user", content: "inspect files" }],
tools: [
@@ -561,14 +561,14 @@ test("createSSEStream passthrough suppresses malformed textual tool-call content
id: "chatcmpl_malformed_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: { role: "assistant", content: malformedToolText } }],
})}\n\n`,
`data: ${JSON.stringify({
id: "chatcmpl_malformed_textual_tool",
object: "chat.completion.chunk",
created: 1,
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
})}\n\n`,
],
@@ -576,7 +576,7 @@ test("createSSEStream passthrough suppresses malformed textual tool-call content
mode: "passthrough",
sourceFormat: FORMATS.OPENAI,
provider: "antigravity",
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
body: { messages: [{ role: "user", content: "inspect db" }] },
onComplete(payload) {
onCompletePayload = payload;
@@ -617,7 +617,7 @@ test("createSSEStream suppresses malformed compact textual tool-call content", a
targetFormat: FORMATS.ANTIGRAVITY,
sourceFormat: FORMATS.OPENAI,
provider: "antigravity",
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
body: { messages: [{ role: "user", content: "inspect files" }] },
onComplete(payload) {
onCompletePayload = payload;
@@ -1024,7 +1024,7 @@ Arguments: {"command":"systemctl status omniroute"}`;
response: {
id: "resp_textual_tool",
object: "response",
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
status: "completed",
output: [],
usage: { input_tokens: 10, output_tokens: 4, total_tokens: 14 },
@@ -1038,7 +1038,7 @@ Arguments: {"command":"systemctl status omniroute"}`;
sourceFormat: FORMATS.OPENAI_RESPONSES,
clientResponseFormat: FORMATS.OPENAI_RESPONSES,
provider: "antigravity",
model: "antigravity/gemini-3.5-flash-low",
model: "antigravity/gemini-3.7-flash-low",
body: {
input: "check service",
tools: [{ type: "function", name: "terminal", parameters: { type: "object" } }],

View File

@@ -30,6 +30,7 @@ test("T28: antigravity static catalog exposes only callable Gemini tier IDs", ()
assert.ok(!staticIds.includes("gemini-3.6-flash-high"));
assert.ok(!staticIds.includes("gemini-3.6-flash-medium"));
assert.ok(!staticIds.includes("gemini-3.6-flash-low"));
assert.ok(!staticIds.includes("gemini-3.5-flash"));
assert.ok(!staticIds.includes("gemini-3.5-flash-extra-low"));
assert.ok(!staticIds.includes("gemini-3.5-flash-low"));
assert.ok(!staticIds.includes("gemini-3-flash-agent"));

View File

@@ -607,7 +607,7 @@ test("OpenAI -> Antigravity wraps Gemini requests in a Cloud Code envelope", ()
test("OpenAI -> Antigravity Gemini omits signature-less historical tool calls and keeps response context", () => {
const result = openaiToAntigravityRequest(
"gemini-3.5-flash-low",
"gemini-3.7-flash-low",
{
messages: [
{ role: "user", content: "Update todo" },
@@ -686,7 +686,7 @@ test("OpenAI -> Antigravity Gemini omits signature-less historical tool calls an
test("OpenAI -> Antigravity preserves multiple signature-less historical tool responses as context", () => {
const result = openaiToAntigravityRequest(
"gemini-3.5-flash-low",
"gemini-3.7-flash-low",
{
messages: [
{ role: "user", content: "Inspect OmniRoute config" },
@@ -747,7 +747,7 @@ test("OpenAI -> Antigravity preserves signed Gemini tool calls in native form",
storeGeminiThoughtSignature(buildGeminiThoughtSignatureKey(ns, toolId), "SIG_AG_SIGNED_XYZ");
const result = openaiToAntigravityRequest(
"gemini-3.5-flash-low",
"gemini-3.7-flash-low",
{
messages: [
{ role: "user", content: "Read status" },
@@ -787,7 +787,7 @@ test("OpenAI -> Antigravity preserves signed Gemini tool calls in native form",
test("OpenAI -> Antigravity escapes signature-less tool response context content", () => {
const result = openaiToAntigravityRequest(
"gemini-3.5-flash-low",
"gemini-3.7-flash-low",
{
messages: [
{ role: "user", content: "Inspect previous output" },

View File

@@ -346,7 +346,7 @@ test("Gemini stream: converts textual Tool call block to structured tool_calls",
const result = geminiToOpenAIResponse(
{
responseId: "resp-textual-tool",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -386,7 +386,7 @@ test("Gemini stream: routes textual reasoning tags to reasoning_content before t
const result = geminiToOpenAIResponse(
{
responseId: "resp-textual-thought-tool",
modelVersion: "gemini-3.5-flash-high",
modelVersion: "gemini-3.7-flash-high",
candidates: [
{
content: {
@@ -431,7 +431,7 @@ test("Gemini stream: keeps textual reasoning hidden across split chunks", () =>
const first = geminiToOpenAIResponse(
{
responseId: "resp-split-thought",
modelVersion: "gemini-3.5-flash-high",
modelVersion: "gemini-3.7-flash-high",
candidates: [{ content: { parts: [{ text: "§54§ <tho" }] } }],
},
state
@@ -444,7 +444,7 @@ test("Gemini stream: keeps textual reasoning hidden across split chunks", () =>
const second = geminiToOpenAIResponse(
{
responseId: "resp-split-thought",
modelVersion: "gemini-3.5-flash-high",
modelVersion: "gemini-3.7-flash-high",
candidates: [{ content: { parts: [{ text: "ught\nNeed to inspect" }] } }],
},
state
@@ -459,7 +459,7 @@ test("Gemini stream: keeps textual reasoning hidden across split chunks", () =>
const third = geminiToOpenAIResponse(
{
responseId: "resp-split-thought",
modelVersion: "gemini-3.5-flash-high",
modelVersion: "gemini-3.7-flash-high",
candidates: [{ content: { parts: [{ text: " more</tho" }] } }],
},
state
@@ -472,7 +472,7 @@ test("Gemini stream: keeps textual reasoning hidden across split chunks", () =>
const fourth = geminiToOpenAIResponse(
{
responseId: "resp-split-thought",
modelVersion: "gemini-3.5-flash-high",
modelVersion: "gemini-3.7-flash-high",
candidates: [{ content: { parts: [{ text: "ught>Visible answer" }] } }],
},
state
@@ -498,7 +498,7 @@ test("Gemini stream: converts prefixed textual Tool call block with zero-width c
const result = geminiToOpenAIResponse(
{
responseId: "resp-textual-tool-prefixed",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -612,7 +612,7 @@ test("Gemini stream: unwraps native functionCall args when emitted as JSON strin
const result = geminiToOpenAIResponse(
{
responseId: "resp-native-tool-json-string",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -648,7 +648,7 @@ test("Gemini stream: converts JSON-string encoded textual Tool call arguments",
const result = geminiToOpenAIResponse(
{
responseId: "resp-textual-tool-json-string",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -685,7 +685,7 @@ test("Gemini stream: suppresses malformed textual Tool call marker", () => {
const result = geminiToOpenAIResponse(
{
responseId: "resp-textual-tool-malformed",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -717,7 +717,7 @@ test("Gemini stream: handles textual Tool call block split across chunks", () =>
const state = createStreamingState();
const chunk1 = {
responseId: "resp-split",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -732,7 +732,7 @@ test("Gemini stream: handles textual Tool call block split across chunks", () =>
};
const chunk2 = {
responseId: "resp-split",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -768,7 +768,7 @@ test("Gemini stream: does not swallow false positive textual tool call in backti
const state = createStreamingState();
const chunk1 = {
responseId: "resp-false-positive",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -783,7 +783,7 @@ test("Gemini stream: does not swallow false positive textual tool call in backti
};
const chunk2 = {
responseId: "resp-false-positive",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -817,7 +817,7 @@ test("Gemini stream: does not swallow terminated trailing false positive textual
const state = createStreamingState();
const chunk1 = {
responseId: "resp-false-positive-terminated",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -842,7 +842,7 @@ test("Gemini stream: flushes left part before textual tool call candidate and fl
const state = createStreamingState() as any;
const chunk1 = {
responseId: "resp-test-flush-left",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -884,7 +884,7 @@ test("Gemini stream: splits mid-stream partial candidate but preserves tool call
const state = createStreamingState() as any;
const chunk1 = {
responseId: "resp-test-split-candidate",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -932,7 +932,7 @@ test("Gemini stream: index mismatch regression test with zero-width characters i
const result = geminiToOpenAIResponse(
{
responseId: "resp-textual-tool-index-mismatch",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -964,7 +964,7 @@ test("Gemini stream: partial tool call with (empty) prefix check at chunk end do
const state = createStreamingState();
const chunk1 = {
responseId: "resp-empty-leak",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -1011,7 +1011,7 @@ test("Gemini stream: parses textual tool call that starts in a subsequent chunk
const state = createStreamingState() as any;
const chunk1 = {
responseId: "resp-test-after-prose",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -1060,7 +1060,7 @@ test("Gemini stream: checks lastParen before lastBracket when identifying partia
// Имитируем чанк, который кончается на частичный "(empty)[Tool call:" маркер, например "(em"
const chunk1 = {
responseId: "resp-test-empty-partial",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{
content: {
@@ -1187,7 +1187,7 @@ test("Gemini stream: partial textual tool call survives a reasoning-only chunk",
geminiToOpenAIResponse(
{
responseId: "resp-interleave",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [
{ content: { parts: [{ text: '[Tool call: terminal]\nArguments: {"command":"ls' }] } },
],
@@ -1200,7 +1200,7 @@ test("Gemini stream: partial textual tool call survives a reasoning-only chunk",
geminiToOpenAIResponse(
{
responseId: "resp-interleave",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [{ content: { parts: [{ text: "<thinking>pondering</thinking>" }] } }],
},
state
@@ -1221,7 +1221,7 @@ test("Gemini stream: partial textual tool call survives a reasoning-only chunk",
geminiToOpenAIResponse(
{
responseId: "resp-interleave",
modelVersion: "gemini-3.5-flash-low",
modelVersion: "gemini-3.7-flash-low",
candidates: [{ content: { parts: [{ text: '"}' }] }, finishReason: "STOP" }],
},
state

View File

@@ -0,0 +1,70 @@
/**
* Vertex AI Anthropic partner-model discovery (#11279).
*
* Covers the two pure units the PR adds (the discovery route itself is a
* best-effort network path exercised manually per the PR's test plan):
* - parseVertexAnthropicModels: Model Garden publisher response → discovery
* models, handling global AND project-scoped resource names;
* - getModelTargetFormat: a claude-* id on vertex/vertex-partner resolves to
* the "claude" translator even when the model is NOT in the static
* registry (the future-model heuristic).
*/
import test from "node:test";
import assert from "node:assert/strict";
import { parseVertexAnthropicModels } from "../../src/lib/providerModels/vertexAnthropicModelsParser.ts";
import { getModelTargetFormat } from "../../open-sse/config/providerModels.ts";
test("parseVertexAnthropicModels: global publisher resource names", () => {
const out = parseVertexAnthropicModels({
models: [
{
name: "publishers/anthropic/models/claude-sonnet-4-6",
displayName: "Claude Sonnet 4.6",
description: "Latest Sonnet",
},
{ name: "publishers/anthropic/models/claude-opus-4-6", displayName: "Claude Opus 4.6" },
],
});
assert.equal(out.length, 2);
assert.deepEqual(out[0], {
id: "claude-sonnet-4-6",
name: "Claude Sonnet 4.6",
supportedEndpoints: ["chat"],
targetFormat: "claude",
description: "Latest Sonnet",
owned_by: "anthropic",
});
// displayName fallback: missing → id; description omitted when absent
assert.equal(out[1].name, "Claude Opus 4.6");
assert.equal("description" in out[1], false);
});
test("parseVertexAnthropicModels: project-scoped resource names strip the prefix", () => {
const out = parseVertexAnthropicModels({
models: [
{
name: "projects/my-gcp-project/locations/us-east5/publishers/anthropic/models/claude-haiku-4-5",
},
],
});
assert.equal(out.length, 1);
assert.equal(out[0].id, "claude-haiku-4-5");
assert.equal(out[0].name, "claude-haiku-4-5");
});
test("parseVertexAnthropicModels: malformed input yields an empty list", () => {
assert.deepEqual(parseVertexAnthropicModels(null), []);
assert.deepEqual(parseVertexAnthropicModels({}), []);
assert.deepEqual(parseVertexAnthropicModels({ models: "not-an-array" }), []);
assert.deepEqual(parseVertexAnthropicModels({ models: [{ name: "" }, {}] }), []);
});
test("getModelTargetFormat: claude-* on vertex resolves to the claude translator (heuristic)", () => {
// A future Claude model with no static registry entry must still route
// through the Anthropic Messages translator on both vertex ids.
assert.equal(getModelTargetFormat("vertex", "claude-future-9-9"), "claude");
assert.equal(getModelTargetFormat("vertex-partner", "claude-future-9-9"), "claude");
// Non-Claude ids are untouched by the heuristic.
assert.notEqual(getModelTargetFormat("vertex", "gemini-3.1-pro"), "claude");
});