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Two things a real command turned up. A job can run for ten minutes. "Report on the front page" is not a question with an answer a second later, and having the corner narrate every tool it touches for those ten minutes is worse than saying nothing. So that indicator can be clicked away. It is the only one that can: a dictation is over in seconds, and an indicator that swallows a click meant for the window underneath has to earn it. The work carries on; what is muted is the progress, not the outcome, which shows up whether or not the box was sent away. A faint cross on the right says the box can be clicked, because a feature nobody can see is not one. The next run starts visible again. Muting leaves the state alone rather than setting it to something hidden, so no later repaint puts the box back on the screen behind its own back. Thinking effort is a setting now, offered once rather than three times: how hard to think is one thing to want, and only the rungs differ. Claude takes it as --effort, Codex as a model_reasoning_effort override, OpenRouter in the reasoning field it already understood for cleanup. A level a provider does not have lands on the nearest one it does, so "maximum" is xhigh on Claude and high on Codex rather than an error or a silent drop. Left alone, nothing is sent and each model does what it would have done.
314 lines
12 KiB
Python
314 lines
12 KiB
Python
"""OpenAI and OpenRouter calls, stdlib only.
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Transcription runs on either provider: OpenRouter mirrors OpenAI's
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/audio/transcriptions endpoint field for field, so one multipart request serves
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both and only the key, the base URL and the model id change. Cleanup is always
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OpenRouter.
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"""
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import collections
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import json
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import mimetypes
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import os
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import secrets
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import urllib.error
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import urllib.request
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from i18n import t
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APP_URL = "https://github.com/yusufipk/dikte"
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USER_AGENT = f"dikte/1.0 (+{APP_URL})"
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OPENAI_URL = "https://api.openai.com/v1"
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OPENROUTER_URL = "https://openrouter.ai/api/v1"
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# Where a transcription request goes; built by config.Config.transcribe_target().
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# `service` is the name the user sees in an error, `provider` the one the code
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# branches on.
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Target = collections.namedtuple("Target", "provider service api_key base_url model")
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def timestamp_model(provider):
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"""Only whisper-1 returns segment times, and OpenRouter namespaces the id."""
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return "openai/whisper-1" if provider == "openrouter" else "whisper-1"
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class ApiError(Exception):
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def __init__(self, message, status=None):
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super().__init__(message)
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self.status = status
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def explain(exc, service):
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"""Turn an HTTP status into something the user can act on."""
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if exc.status in (401, 403):
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return ApiError(t("{service} rejected the API key (HTTP {code}). Open "
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"Settings and check it.", service=service, code=exc.status),
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exc.status)
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if exc.status == 402:
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return ApiError(t("{service} says the account is out of credit (HTTP 402).",
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service=service), exc.status)
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if exc.status == 429:
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return ApiError(t("{service} is rate limiting you (HTTP 429). Try again in "
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"a moment.", service=service), exc.status)
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return ApiError(f"{service}: {exc}", exc.status)
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def _request(url, data, headers, timeout=120):
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req = urllib.request.Request(url, data=data, headers=headers, method="POST")
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try:
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with urllib.request.urlopen(req, timeout=timeout) as resp:
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return json.loads(resp.read().decode("utf-8"))
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except urllib.error.HTTPError as exc:
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body = exc.read().decode("utf-8", "replace")
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raise ApiError(f"HTTP {exc.code}: {_extract_error(body)}", exc.code) from exc
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except urllib.error.URLError as exc:
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raise ApiError(t("Could not connect: {reason}", reason=exc.reason)) from exc
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except json.JSONDecodeError as exc:
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raise ApiError(t("Could not parse the response: {error}", error=exc)) from exc
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def _extract_error(body):
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try:
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payload = json.loads(body)
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except json.JSONDecodeError:
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return body[:300]
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err = payload.get("error")
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if isinstance(err, dict):
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return err.get("message") or json.dumps(err)[:300]
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if isinstance(err, str):
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return err
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return body[:300]
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def _multipart(fields, file_field, file_path):
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"""Build a multipart/form-data body; returns (body, content-type)."""
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boundary = "----dikte" + secrets.token_hex(16)
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out = bytearray()
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for name, value in fields:
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if value is None or value == "":
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continue
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out += f"--{boundary}\r\n".encode()
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out += f'Content-Disposition: form-data; name="{name}"\r\n\r\n'.encode()
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out += str(value).encode("utf-8") + b"\r\n"
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filename = os.path.basename(file_path)
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ctype = mimetypes.guess_type(filename)[0] or "application/octet-stream"
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with open(file_path, "rb") as fh:
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payload = fh.read()
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out += f"--{boundary}\r\n".encode()
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out += (
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f'Content-Disposition: form-data; name="{file_field}"; filename="{filename}"\r\n'
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f"Content-Type: {ctype}\r\n\r\n"
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).encode()
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out += payload + b"\r\n"
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out += f"--{boundary}--\r\n".encode()
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return bytes(out), f"multipart/form-data; boundary={boundary}"
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def _headers(provider, api_key, content_type=None):
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headers = {"Authorization": f"Bearer {api_key}", "User-Agent": USER_AGENT}
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if content_type:
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headers["Content-Type"] = content_type
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if provider == "openrouter":
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# What OpenRouter attributes the calls to on its app leaderboard.
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headers["HTTP-Referer"] = APP_URL
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headers["X-Title"] = "Dikte"
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return headers
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def _transcribe_request(target, wav_path, language, prompt, response_format,
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granularity=None, timeout=300):
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if not target.api_key:
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raise ApiError(t("{service} API key is empty. Add it in Settings.",
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service=target.service))
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fields = [("model", target.model), ("response_format", response_format)]
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if language and language != "auto":
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fields.append(("language", language))
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# OpenRouter takes the hint field and throws it away, so spare it the bytes.
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# The same words still reach the cleanup model as a glossary.
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if prompt and target.provider == "openai":
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fields.append(("prompt", prompt))
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if granularity:
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fields.append(("timestamp_granularities[]", granularity))
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body, ctype = _multipart(fields, "file", wav_path)
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try:
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return _request(
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f"{target.base_url.rstrip('/')}/audio/transcriptions", body,
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_headers(target.provider, target.api_key, ctype), timeout=timeout,
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)
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except ApiError as exc:
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raise explain(exc, target.service) from None
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def transcribe(target, wav_path, language="", prompt="", timeout=300):
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data = _transcribe_request(
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target, wav_path, language, prompt, "json", timeout=timeout
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)
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text = (data.get("text") or "").strip()
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if not text:
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raise ApiError(t("Transcript came back empty."))
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return text
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def transcribe_segments(target, wav_path, language="", prompt="", timeout=300):
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"""[(start_seconds, end_seconds, text)] using whisper-1's verbose response."""
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data = _transcribe_request(
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target._replace(model=timestamp_model(target.provider)),
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wav_path, language, prompt, "verbose_json",
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granularity="segment", timeout=timeout,
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)
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segments = data.get("segments") or []
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out = []
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for seg in segments:
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text = (seg.get("text") or "").strip()
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if text:
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start = float(seg.get("start") or 0.0)
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end = float(seg.get("end") or 0.0)
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out.append((start, max(end, start), text))
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if not out:
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text = (data.get("text") or "").strip()
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if not text:
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raise ApiError(t("Transcript came back empty."))
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out = [(0.0, 0.0, text)]
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return out
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def cleanup(text, api_key, model, system_prompt, reasoning="",
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base_url=OPENROUTER_URL, timeout=180):
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if not api_key:
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raise ApiError(t("{service} API key is empty. Add it in Settings.",
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service="OpenRouter"))
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payload = {
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"model": model,
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"temperature": 0,
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"messages": [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": f"<transcript>\n{text}\n</transcript>"},
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],
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}
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# An empty level means "whatever the model does on its own"; anything else is
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# one of OpenRouter's efforts. The thinking itself is never shown, so ask for
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# it to be left out of the reply.
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if reasoning:
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payload["reasoning"] = {"effort": reasoning, "exclude": True}
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try:
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data = _request(
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f"{base_url.rstrip('/')}/chat/completions",
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json.dumps(payload).encode("utf-8"),
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_headers("openrouter", api_key, "application/json"),
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timeout=timeout,
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)
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except ApiError as exc:
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raise explain(exc, "OpenRouter") from None
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choices = data.get("choices") or []
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if not choices:
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raise ApiError(_extract_error(json.dumps(data)))
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content = ((choices[0].get("message") or {}).get("content") or "").strip()
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if not content:
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raise ApiError(t("The cleanup model returned an empty reply."))
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return content
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def chat(messages, api_key, model, system_prompt, reasoning="",
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base_url=OPENROUTER_URL, timeout=180):
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"""A conversation, rather than one transcript rewritten.
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The messages are the whole history and come back unchanged; the caller keeps
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them, because there is no session on OpenRouter's side to resume.
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"""
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if not api_key:
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raise ApiError(t("{service} API key is empty. Add it in Settings.",
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service="OpenRouter"))
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payload = {
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"model": model,
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"messages": [{"role": "system", "content": system_prompt}] + list(messages),
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}
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if reasoning:
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payload["reasoning"] = {"effort": reasoning, "exclude": True}
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try:
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data = _request(
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f"{base_url.rstrip('/')}/chat/completions",
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json.dumps(payload).encode("utf-8"),
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_headers("openrouter", api_key, "application/json"),
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timeout=timeout,
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)
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except ApiError as exc:
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raise explain(exc, "OpenRouter") from None
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choices = data.get("choices") or []
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if not choices:
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raise ApiError(_extract_error(json.dumps(data)))
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content = ((choices[0].get("message") or {}).get("content") or "").strip()
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if not content:
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raise ApiError(t("The model returned an empty reply."))
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return content
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def _get_json(url, headers, timeout=20):
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req = urllib.request.Request(url, headers=headers)
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try:
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with urllib.request.urlopen(req, timeout=timeout) as resp:
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return json.loads(resp.read().decode("utf-8"))
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except urllib.error.HTTPError as exc:
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body = exc.read().decode("utf-8", "replace")
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raise ApiError(f"HTTP {exc.code}: {_extract_error(body)}", exc.code) from exc
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except urllib.error.URLError as exc:
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raise ApiError(t("Could not connect: {reason}", reason=exc.reason)) from exc
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except json.JSONDecodeError as exc:
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raise ApiError(t("Could not parse the response: {error}", error=exc)) from exc
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def openrouter_key_status(api_key):
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"""Check the key against OpenRouter's own /key endpoint."""
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if not api_key:
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raise ApiError(t("{service} API key is empty. Add it in Settings.",
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service="OpenRouter"))
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try:
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data = _get_json(f"{OPENROUTER_URL}/key",
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{"Authorization": f"Bearer {api_key}", "User-Agent": USER_AGENT})
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except ApiError as exc:
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raise explain(exc, "OpenRouter") from None
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info = data.get("data") or {}
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limit, usage = info.get("limit"), info.get("usage")
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if limit is None:
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return t("Key works, no spending limit set.")
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return t("Key works. Used {usage} of {limit}.",
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usage=round(float(usage or 0), 3), limit=round(float(limit), 3))
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def openrouter_models(api_key="", transcription=False):
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"""Model ids available on OpenRouter (no key required).
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`transcription` narrows the list to the speech-to-text models, the only ones
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/audio/transcriptions accepts. The filter is applied again on the result,
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because a query parameter the API stops honouring would otherwise quietly
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hand back all several hundred models.
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"""
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url = f"{OPENROUTER_URL}/models"
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if transcription:
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url += "?output_modalities=transcription"
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headers = {"User-Agent": USER_AGENT}
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if api_key:
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headers["Authorization"] = f"Bearer {api_key}"
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models = _get_json(url, headers).get("data", [])
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if transcription:
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models = [m for m in models
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if "transcription" in (m.get("architecture") or {}).get(
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"output_modalities", [])]
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return sorted(m["id"] for m in models if m.get("id"))
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def openai_models(api_key, base_url=OPENAI_URL):
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if not api_key:
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raise ApiError(t("{service} API key is empty. Add it in Settings.",
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service="OpenAI"))
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try:
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data = _get_json(
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f"{base_url.rstrip('/')}/models",
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{"Authorization": f"Bearer {api_key}", "User-Agent": USER_AGENT},
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)
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except ApiError as exc:
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raise explain(exc, "OpenAI") from None
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ids = [m["id"] for m in data.get("data", []) if m.get("id")]
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audio = [i for i in ids if "transcribe" in i or "whisper" in i]
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return sorted(audio or ids)
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