File size: 9,251 Bytes
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import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
import type { OpenClawConfig } from "../../config/types.openclaw.js";
import { AsyncWorkScope } from "../../shared/async-work-scope.js";
import { withPluginRuntimePluginScope } from "./gateway-request-scope.js";
import { createRuntimeLlm } from "./runtime-llm.runtime.js";
const mocks = vi.hoisted(() => ({
acquireSimpleCompletionModelForAgent:
vi.fn<
typeof import("../../agents/simple-completion-runtime.js").acquireSimpleCompletionModelForAgent
>(),
resolveSimpleCompletionSelectionForAgent: vi.fn(),
}));
vi.mock("../../agents/simple-completion-runtime.js", async (importOriginal) => ({
...(await importOriginal<typeof import("../../agents/simple-completion-runtime.js")>()),
acquireSimpleCompletionModelForAgent: mocks.acquireSimpleCompletionModelForAgent,
resolveSimpleCompletionSelectionForAgent: mocks.resolveSimpleCompletionSelectionForAgent,
}));
const modelId = "gpt-5.6-luna";
const responseModel = "gpt-5.6-luna-2026-08-01";
const authToken = (() => {
const header = Buffer.from(JSON.stringify({ alg: "none", typ: "JWT" })).toString("base64url");
const body = Buffer.from(
JSON.stringify({
"https://api.openai.com/auth": { chatgpt_account_id: "acct-runtime-model-test" },
}),
).toString("base64url");
return `${header}.${body}.signature`;
})();
const cfg = {
agents: { defaults: { model: `openai/${modelId}` } },
} satisfies OpenClawConfig;
const pluginCfg = {
...cfg,
plugins: {
entries: {
"trusted-plugin": {
llm: {
allowModelOverride: true,
allowedModels: [`openai/${modelId}`],
},
},
},
},
} satisfies OpenClawConfig;
function preparedOauthModel(
profileId = "openai:test-oauth",
): Extract<
Awaited<ReturnType<typeof mocks.acquireSimpleCompletionModelForAgent>>,
{ model: unknown }
> {
return {
[Symbol.asyncDispose]: vi.fn(async () => {}),
selection: {
provider: "openai",
modelId,
profileId,
agentDir: "/tmp/openclaw-agent",
},
model: {
provider: "openai",
id: modelId,
name: modelId,
api: "openai-chatgpt-responses",
baseUrl: "https://chatgpt.com/backend-api/codex",
input: ["text"],
reasoning: true,
contextWindow: 128_000,
maxTokens: 4_096,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
},
auth: {
apiKey: authToken,
source: "test",
mode: "oauth",
profileId,
},
};
}
function completedResponse(): Response {
const response = {
id: "resp_runtime_model",
object: "response",
status: "completed",
output: [
{
id: "msg_runtime_model",
type: "message",
role: "assistant",
status: "completed",
content: [
{
type: "output_text",
text: '{"classification":"safe","reason":"fixture"}',
annotations: [],
},
],
},
],
usage: { input_tokens: 5, output_tokens: 3, total_tokens: 8 },
};
const events = [
{ type: "response.created", response: { ...response, output: [], status: "in_progress" } },
{ type: "response.completed", response },
];
return new Response(
`${events.map((event) => `data: ${JSON.stringify(event)}\n\n`).join("")}data: [DONE]\n\n`,
{
status: 200,
headers: {
"content-type": "text/event-stream",
"openai-model": responseModel,
},
},
);
}
let previousHost: ReturnType<typeof getAiTransportHost>;
let completionWork: AsyncWorkScope;
const modelFetch = vi.fn<typeof fetch>();
beforeEach(async () => {
completionWork = new AsyncWorkScope();
// Initialize the lazily loaded agent host before installing the fixture override;
// otherwise the first completion replaces this host and selects native WebSocket.
await import("../../agents/ai-transport-runtime-host.js");
previousHost = getAiTransportHost();
modelFetch.mockReset();
modelFetch.mockImplementation(async () => completedResponse());
configureAiTransportHost({
...previousHost,
buildModelFetch: () => modelFetch,
plugin: {
...previousHost.plugin,
resolveProviderStream: () => undefined,
resolveTransportTurnState: () => undefined,
wrapSimpleCompletionStream: () => undefined,
},
});
mocks.resolveSimpleCompletionSelectionForAgent.mockReset();
mocks.resolveSimpleCompletionSelectionForAgent.mockReturnValue({
provider: "openai",
modelId,
agentDir: "/tmp/openclaw-agent",
});
mocks.acquireSimpleCompletionModelForAgent.mockReset();
mocks.acquireSimpleCompletionModelForAgent.mockResolvedValue(preparedOauthModel());
});
afterEach(async () => {
// Caller results settle before transport drainage and the acquired model release.
await completionWork.drain();
configureAiTransportHost(previousHost);
vi.restoreAllMocks();
});
describe("runtime.llm.complete managed ChatGPT OAuth model identity", () => {
it("returns the concrete response model from the managed transport", async () => {
const llm = createRuntimeLlm({
getConfig: () => cfg,
authority: { caller: { kind: "host", id: "reef" }, allowComplete: true },
});
const result = await completionWork.track(() =>
llm.complete({
messages: [{ role: "user", content: "Classify this fixture." }],
requiredAuthMode: "oauth",
signal: AbortSignal.timeout(30_000),
responseFormat: {
type: "json_schema",
json_schema: {
name: "reef_guard_verdict",
strict: true,
schema: { type: "object", additionalProperties: false },
},
},
}),
);
expect(result).toMatchObject({
text: '{"classification":"safe","reason":"fixture"}',
provider: "openai",
model: modelId,
responseModel,
stopReason: "stop",
});
expect(modelFetch).toHaveBeenCalledTimes(1);
});
it("requires the selected credential to use the requested OAuth mode", async () => {
const prepared = preparedOauthModel();
mocks.acquireSimpleCompletionModelForAgent.mockResolvedValueOnce({
...prepared,
auth: { apiKey: "test-api-key", source: "test", mode: "api-key" },
});
const llm = createRuntimeLlm({
getConfig: () => cfg,
authority: { caller: { kind: "host", id: "runtime-test" }, allowComplete: true },
});
await expect(
completionWork.track(() =>
llm.complete({
messages: [{ role: "user", content: "Ping" }],
requiredAuthMode: "oauth",
}),
),
).rejects.toThrow("selected a credential with the wrong authentication mode");
await completionWork.drain();
expect(modelFetch).not.toHaveBeenCalled();
expect(prepared[Symbol.asyncDispose]).toHaveBeenCalledTimes(1);
});
it("binds a direct model override to its selected OAuth profile", async () => {
const profileId = "openai:work";
mocks.resolveSimpleCompletionSelectionForAgent.mockReturnValueOnce({
provider: "openai",
modelId,
profileId,
agentDir: "/tmp/openclaw-agent",
});
mocks.acquireSimpleCompletionModelForAgent.mockResolvedValueOnce(preparedOauthModel(profileId));
const llm = createRuntimeLlm({
getConfig: () => pluginCfg,
authority: { allowComplete: true },
});
await expect(
completionWork.track(() =>
withPluginRuntimePluginScope({ pluginId: "trusted-plugin" }, () =>
llm.complete({
model: `openai/${modelId}@${profileId}`,
messages: [{ role: "user", content: "Ping" }],
requiredAuthMode: "oauth",
}),
),
),
).resolves.toMatchObject({ text: '{"classification":"safe","reason":"fixture"}' });
expect(mocks.acquireSimpleCompletionModelForAgent).toHaveBeenCalledWith(
expect.objectContaining({
modelRef: `openai/${modelId}@${profileId}`,
bindAuthOwner: true,
}),
);
});
it("rejects a direct model override resolved to another OAuth profile", async () => {
const profileId = "openai:work";
mocks.resolveSimpleCompletionSelectionForAgent.mockReturnValueOnce({
provider: "openai",
modelId,
profileId,
agentDir: "/tmp/openclaw-agent",
});
const prepared = preparedOauthModel("openai:other");
mocks.acquireSimpleCompletionModelForAgent.mockResolvedValueOnce(prepared);
const llm = createRuntimeLlm({
getConfig: () => pluginCfg,
authority: { allowComplete: true },
});
await expect(
completionWork.track(() =>
withPluginRuntimePluginScope({ pluginId: "trusted-plugin" }, () =>
llm.complete({
model: `openai/${modelId}@${profileId}`,
messages: [{ role: "user", content: "Ping" }],
requiredAuthMode: "oauth",
}),
),
),
).rejects.toThrow("selected a different authentication profile");
await completionWork.drain();
expect(modelFetch).not.toHaveBeenCalled();
expect(prepared[Symbol.asyncDispose]).toHaveBeenCalledTimes(1);
});
});
|