BluTranslate
Translate files (PDF, DOCX, PPTX) to any language using the Bluente Translation API. Asks for API key, source files, target language, and output location.
Description
name: translate description: Translate files (PDF, DOCX, PPTX) to any language using the Bluente Translation API. Asks for API key, source files, target language, and output location.
Translate files using the Bluente Translation API.
Step 1: Collect user inputs
Ask the user using AskUserQuestion. IMPORTANT: Every question MUST have at least 2 options (AskUserQuestion requires min 2 options per question). Use the user's "Other" free-text option for custom input.
Ask all 4 questions in a single AskUserQuestion call:
-
API Key — "What is your Bluente API key? (starts with sk-, get one at https://translate.bluente.com/settings/?type=apiKeys)"
- Options: "I have my key ready" (description: "I'll type it in the Other field below"), "I need to get a key" (description: "Visit https://translate.bluente.com/settings/?type=apiKeys")
- The user will type their actual key in the "Other" free-text field.
-
Source path — "What is the path to the file or folder you want to translate?"
- Options: "Current directory" (description: "Use the current working directory"), "Enter path" (description: "I'll specify a custom path in the Other field")
-
Target language — "What language do you want to translate to?"
- Options (pick 4, use the most common): "Arabic" , "French", "Spanish", "German"
- The user can pick "Other" for any other language.
-
Output path — "Where should the translated files be saved?"
- Options: "Same folder as source" (description: "Save next to the originals"), "Enter path" (description: "I'll specify a custom path in the Other field")
If the user selected "I have my key ready" but didn't type a key in "Other", ask them to provide the key in a follow-up message (don't use AskUserQuestion again for this — just ask in plain text).
Step 2: Look up the correct language code
Use this known mapping of common language codes to avoid an extra API call:
- Arabic =
ara, English =en, French =fra, Spanish =spa, German =de, Chinese =zho, Japanese =ja, Korean =ko, Portuguese =pt, Italian =it, Turkish =tr, Russian =ru, Hindi =hi
If the user picks a language NOT in this list, call the supported languages endpoint:
GET https://api.bluente.com/api/20250924/blu_translate/supported_languages
Header: Authorization: Bearer <API_KEY>
Response format: {"message": "success", "code": 0, "data": [{"name": "French", "svcCode": "fra", ...}, ...]}
Search data array for the matching language and use its svcCode.
Step 3: Detect source files
- If the source path is a single file, translate just that file.
- If the source path is a folder, find all translatable files in it (pdf, docx, pptx, xlsx, etc.)
- If no translatable files found, tell the user and stop.
Step 4: Translate each file
Write and execute a single Python script that handles the entire translation workflow for all files. This avoids shell variable issues (e.g. status is read-only in zsh) and is more reliable than chaining curl commands.
The Python script should:
import requests, time, sys, os
API_KEY = "<API_KEY>"
BASE = "https://api.bluente.com/api/20250924/blu_translate"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
FILES = [<list of absolute file paths>]
FROM_LANG = "en" # or other source language code
TO_LANG = "<target svcCode>"
OUTPUT_DIR = "<output directory>"
os.makedirs(OUTPUT_DIR, exist_ok=True)
results = []
for filepath in FILES:
filename = os.path.basename(filepath)
ext = filename.rsplit(".", 1)[-1].lower()
to_type = {"pdf": "pdf", "docx": "word", "doc": "word", "pptx": "pptx"}.get(ext, ext)
print(f"Translating: {filename}")
# Upload
with open(filepath, "rb") as f:
r = requests.post(f"{BASE}/upload?glossary=0&engine=3", headers=HEADERS, files={"file": f})
resp = r.json()
if resp.get("code") != 0:
print(f" Upload failed: {resp}")
results.append((filename, False, "Upload failed"))
continue
task_id = resp["data"]["id"]
print(f" Task ID: {task_id}")
# Wait for processing
for _ in range(40):
r = requests.get(f"{BASE}/check?entry=get_status&id={task_id}", headers=HEADERS)
st = r.json()["data"]["status"]
if st == "SERVICE_PROCESSED":
break
if st == "ERROR":
print(f" Processing error")
results.append((filename, False, "Processing error"))
break
time.sleep(3)
else:
results.append((filename, False, "Processing timeout"))
continue
if st == "ERROR":
continue
# Start translation
r = requests.post(f"{BASE}/translate?engine=3", headers=HEADERS,
json={"id": task_id, "action": "start", "from": FROM_LANG, "to": TO_LANG})
resp = r.json()
if resp.get("code") != 0:
print(f" Translation start failed: {resp.get('message')}")
results.append((filename, False, f"Start failed: {resp.get('message')}"))
continue
# Wait for translation
for _ in range(120):
r = requests.get(f"{BASE}/check?entry=get_status&id={task_id}", headers=HEADERS)
st = r.json()["data"]["status"]
if st == "READY":
break
if st == "ERROR":
print(f" Translation error")
results.append((filename, False, "Translation error"))
break
time.sleep(5)
else:
results.append((filename, False, "Translation timeout"))
continue
if st == "ERROR":
continue
# Download
r = requests.get(f"{BASE}/download?id={task_id}&to_type={to_type}", headers=HEADERS)
out_path = os.path.join(OUTPUT_DIR, filename)
with open(out_path, "wb") as f:
f.write(r.content)
print(f" Saved: {out_path}")
results.append((filename, True, out_path))
# Summary
ok = [r for r in results if r[1]]
fail = [r for r in results if not r[1]]
print(f"\nDone: {len(ok)} succeeded, {len(fail)} failed")
for name, _, path in ok:
print(f" OK: {name} -> {path}")
for name, _, err in fail:
print(f" FAIL: {name}: {err}")
Fill in the API_KEY, FILES, FROM_LANG, TO_LANG, and OUTPUT_DIR variables from the user's inputs, then run the script with python3. Set a timeout of 600000ms (10 min) on the Bash tool call.
Step 5: Report results
Tell the user:
- How many files were translated successfully
- Where the translated files are saved
- Any errors that occurred
API Reference
- Docs: https://www.bluente.com/docs
- Base URL:
https://api.bluente.com/api/20250924/blu_translate - Auth:
Authorization: Bearer <API_KEY> - Engines:
3= LLM,4= LLM Pro - Source language (
from) is required — it does NOT auto-detect - Language codes are custom — use the mapping above or verify via supported_languages endpoint
$ARGUMENTS
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