tbenandClaude Opus 5.5
6a2665dae9
- Harness: providers, model catalog synced hourly, automatic free picks, cooldowns, tool loop with context trimming, MCP computer tools - Bots queue runs replies and tasks through the harness; jobs wait (attempt refunded) while every model is resting - Envs: Settings > Environment, scoped general/workspace/computer, written to computers and redacted from tool output - Models: Settings > Models, per-harness provider select defaulting to OpenRouter, and a models modal on each bot's chat (the coordinator's edits the defaults) - Chat: thinking row while a reply runs, file attachments (upload, paste, drop) that replies read as images, audio and document text - Fix media uploads failing after a user's first file, and private files being served from the public media path Co-Authored-By: Claude Opus 5.5 <[email protected]>
43 lines
1017 B
TypeScript
43 lines
1017 B
TypeScript
import type { HarnessAdapter } from "../../types";
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import providerRequest from "./provider-request";
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/**
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* `POST /audio/transcriptions` as an OpenAI-style file upload, which
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* OpenRouter, OpenAI, Groq and local servers all take.
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*/
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const transcribe: HarnessAdapter["transcribe"] = async ({
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candidate,
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audio,
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language,
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signal,
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}) => {
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const form = new FormData();
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form.append("model", candidate.model.slug);
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form.append(
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"file",
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new Blob([new Uint8Array(audio.data)], {
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type: `audio/${audio.format}`,
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}),
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`audio.${audio.format}`,
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);
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if (language) {
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form.append("language", language);
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}
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const res = await providerRequest({
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provider: candidate.provider,
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path: "/audio/transcriptions",
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form,
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signal,
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candidate_key: candidate.key,
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});
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const json = await res.json().catch(() => null);
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return { text: String(json?.text || "").trim() };
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};
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export default transcribe;
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