Spracherkennung für: .ts vermutete Sprache: Unknown {[0] [0] [0]} [Methode: Schwerpunktbildung, einfache Gewichte, sechs Dimensionen]
import fs from "node:fs/promises";
import os from "node:os";
import path from "node:path";
import { describe, expect, it, vi } from "vitest";
import type { OpenClawConfig } from "../config/types.js";
import { withEnvAsync } from "../test-utils/env.js";
import { clearMediaUnderstandingBinaryCacheForTests, runCapability } from "./runner.js";
import { withAudioFixture } from "./runner.test-utils.js";
import type { AudioTranscriptionRequest, MediaUnderstandingProvider } from "./types.js";
vi.mock("../agents/model-auth.js", async () => {
const { createAvailableModelAuthMockModule } = await import("./runner.test-mocks.js");
return createAvailableModelAuthMockModule();
});
vi.mock("../plugins/capability-provider-runtime.js", async () => {
const { createEmptyCapabilityProviderMockModule } = await import("./runner.test-mocks.js");
return createEmptyCapabilityProviderMockModule();
});
function createProviderRegistry(
providers: Record<string, MediaUnderstandingProvider>,
): Map<string, MediaUnderstandingProvider> {
// Keep these tests focused on auto-entry selection instead of paying the full
// plugin capability registry build for every stub provider setup.
return new Map(Object.entries(providers));
}
function createOpenAiAudioProvider(
transcribeAudio: (req: AudioTranscriptionRequest) => Promise<{ text: string; model: string }>,
) {
return createProviderRegistry({
openai: {
id: "openai",
capabilities: ["audio"],
transcribeAudio,
},
});
}
function createOpenAiAudioCfg(extra?: Partial<OpenClawConfig>): OpenClawConfig {
return {
models: {
providers: {
openai: {
apiKey: "test-key",
models: [],
},
},
},
...extra,
} as unknown as OpenClawConfig;
}
async function createMockExecutable(dir: string, name: string) {
const executablePath = path.join(dir, name);
await fs.writeFile(executablePath, "#!/bin/sh\necho mocked-local-whisper\n", { mode: 0o755 });
return executablePath;
}
async function runAutoAudioCase(params: {
transcribeAudio: (req: AudioTranscriptionRequest) => Promise<{ text: string; model: string }>;
cfgExtra?: Partial<OpenClawConfig>;
}) {
let runResult: Awaited<ReturnType<typeof runCapability>> | undefined;
await withAudioFixture("openclaw-auto-audio", async ({ ctx, media, cache }) => {
const providerRegistry = createOpenAiAudioProvider(params.transcribeAudio);
const cfg = createOpenAiAudioCfg(params.cfgExtra);
runResult = await runCapability({
capability: "audio",
cfg,
ctx,
attachments: cache,
media,
providerRegistry,
});
});
if (!runResult) {
throw new Error("Expected auto audio case result");
}
return runResult;
}
describe("runCapability auto audio entries", () => {
it("uses provider keys to auto-enable audio transcription", async () => {
let seenModel: string | undefined;
const result = await runAutoAudioCase({
transcribeAudio: async (req) => {
seenModel = req.model;
return { text: "ok", model: req.model ?? "unknown" };
},
});
expect(result.outputs[0]?.text).toBe("ok");
expect(seenModel).toBe("gpt-4o-transcribe");
expect(result.decision.outcome).toBe("success");
});
it("prefers provider keys over auto-detected local whisper", async () => {
const binDir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-auto-audio-bin-"));
try {
await createMockExecutable(binDir, "whisper");
clearMediaUnderstandingBinaryCacheForTests();
let seenModel: string | undefined;
const result = await withEnvAsync(
{
PATH: binDir,
SHERPA_ONNX_MODEL_DIR: undefined,
WHISPER_CPP_MODEL: undefined,
GEMINI_API_KEY: undefined,
},
async () =>
await runAutoAudioCase({
transcribeAudio: async (req) => {
seenModel = req.model;
return { text: "provider transcription", model: req.model ?? "unknown" };
},
}),
);
expect(result.outputs[0]?.provider).toBe("openai");
expect(result.outputs[0]?.text).toBe("provider transcription");
expect(seenModel).toBe("gpt-4o-transcribe");
} finally {
clearMediaUnderstandingBinaryCacheForTests();
await fs.rm(binDir, { recursive: true, force: true });
}
});
it("skips auto audio when disabled", async () => {
const result = await runAutoAudioCase({
transcribeAudio: async () => ({
text: "ok",
model: "whisper-1",
}),
cfgExtra: {
tools: {
media: {
audio: {
enabled: false,
},
},
},
},
});
expect(result.outputs).toHaveLength(0);
expect(result.decision.outcome).toBe("disabled");
});
it("prefers explicitly configured audio model entries", async () => {
let seenModel: string | undefined;
const result = await runAutoAudioCase({
transcribeAudio: async (req) => {
seenModel = req.model;
return { text: "ok", model: req.model ?? "unknown" };
},
cfgExtra: {
tools: {
media: {
audio: {
models: [{ provider: "openai", model: "whisper-1" }],
},
},
},
},
});
expect(result.outputs[0]?.text).toBe("ok");
expect(seenModel).toBe("whisper-1");
});
it("lets per-request transcription hints override configured model-entry hints", async () => {
let seenLanguage: string | undefined;
let seenPrompt: string | undefined;
const result = await runAutoAudioCase({
transcribeAudio: async (req) => {
seenLanguage = req.language;
seenPrompt = req.prompt;
return { text: "ok", model: req.model ?? "unknown" };
},
cfgExtra: {
tools: {
media: {
audio: {
enabled: true,
prompt: "configured prompt",
language: "fr",
_requestPromptOverride: "Focus on names",
_requestLanguageOverride: "en",
models: [
{
provider: "openai",
model: "whisper-1",
prompt: "entry prompt",
language: "de",
},
],
},
},
},
} as Partial<OpenClawConfig>,
});
expect(result.outputs[0]?.text).toBe("ok");
expect(seenLanguage).toBe("en");
expect(seenPrompt).toBe("Focus on names");
});
it("uses mistral when only mistral key is configured", async () => {
const isolatedAgentDir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-audio-agent-"));
let runResult: Awaited<ReturnType<typeof runCapability>> | undefined;
try {
await withEnvAsync(
{
OPENAI_API_KEY: undefined,
GROQ_API_KEY: undefined,
DEEPGRAM_API_KEY: undefined,
GEMINI_API_KEY: undefined,
GOOGLE_API_KEY: undefined,
MISTRAL_API_KEY: "mistral-test-key", // pragma: allowlist secret
OPENCLAW_AGENT_DIR: isolatedAgentDir,
PI_CODING_AGENT_DIR: isolatedAgentDir,
},
async () => {
await withAudioFixture("openclaw-auto-audio-mistral", async ({ ctx, media, cache }) => {
const providerRegistry = createProviderRegistry({
openai: {
id: "openai",
capabilities: ["audio"],
transcribeAudio: async () => ({
text: "openai",
model: "gpt-4o-transcribe",
}),
},
mistral: {
id: "mistral",
capabilities: ["audio"],
transcribeAudio: async (req) => ({
text: "mistral",
model: req.model ?? "unknown",
}),
},
});
const cfg = {
models: {
providers: {
mistral: {
apiKey: "mistral-test-key", // pragma: allowlist secret
models: [],
},
},
},
tools: {
media: {
audio: {
enabled: true,
},
},
},
} as unknown as OpenClawConfig;
runResult = await runCapability({
capability: "audio",
cfg,
ctx,
attachments: cache,
media,
providerRegistry,
});
});
},
);
} finally {
await fs.rm(isolatedAgentDir, { recursive: true, force: true });
}
if (!runResult) {
throw new Error("Expected auto audio mistral result");
}
expect(runResult.decision.outcome).toBe("success");
expect(runResult.outputs[0]?.provider).toBe("mistral");
expect(runResult.outputs[0]?.model).toBe("voxtral-mini-latest");
expect(runResult.outputs[0]?.text).toBe("mistral");
});
});
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(vorverarbeitet am 2026-04-27)
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