dashscope

name	dashscope
description	DashScope (Alibaba Cloud Bailian / 阿里云百炼) integration — image generation (qwen-image-2.0-pro), text-to-speech (qwen3-tts-flash), and ASR with word-level timestamps (qwen3-asr-flash-filetrans). Use when generating images via Qwen-Image, narrating via Qwen-TTS, or transcribing with word-level timestamps via Qwen-ASR.

DashScope

Requires DASHSCOPE_API_KEY in .env. Get one at https://dashscope.aliyun.com/.

Current API

CRITICAL: DashScope's /compatible-mode/v1/ only supports /chat/completions and /embeddings. Image generation, TTS, and ASR all use DashScope-native endpoints — not OpenAI-compatible paths.

All three tools use Authorization: Bearer $DASHSCOPE_API_KEY.

Image Generation

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

• Model: qwen-image-2.0-pro (default), qwen-image-max, wan2.7-image, z-image-turbo
• Body: {model, input: {messages: [{role: "user", content: [{text: "prompt"}]}]}, parameters: {size: "W*H", n, prompt_extend, watermark}}
• Size format uses asterisk: "1024*1024" not "1024x1024"
• Response: output.choices[0].message.content[0].image (URL, valid ~24h) — must download separately

Text-to-Speech

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

Same endpoint as image gen, different body.

• Model: qwen3-tts-flash (default), qwen3-tts-instruct-flash, qwen-tts-2025-05-22
• Body: {model, input: {text, voice: "Cherry", language_type: "Auto"}}
• Response: output.audio.url (WAV, valid ~24h) — must download separately

ASR with Word-Level Timestamps

POST https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription
Header: X-DashScope-Async: enable

• Model: qwen3-asr-flash-filetrans (NOT qwen3-asr-flash — the sync version has no word timestamps)
• Body: {model, input: {file_url: "https://public-url/audio.mp3"}, parameters: {enable_words: true, language_hints: ["zh","en"]}}
• Returns task_id → poll GET /api/v1/tasks/{task_id} until SUCCEEDED → download output.result.transcription_url → JSON with transcripts[].sentences[].words[]
• Timestamps in begin_time/end_time are in milliseconds — the tool normalizes to seconds

OpenMontage Usage

Image via selector

from tools.graphics.image_selector import ImageSelector

result = ImageSelector().execute({
    "preferred_provider": "dashscope",
    "prompt": "一只猫坐在沙发上",
    "output_path": "projects/my-video/assets/images/cat.png",
})

TTS via selector

from tools.audio.tts_selector import TTSSelector

result = TTSSelector().execute({
    "preferred_provider": "dashscope",
    "text": "如果 AI 真的会改变未来，普通人到底该怎么参与？",
    "voice": "Cherry",
    "output_path": "projects/my-video/assets/audio/narration.wav",
})

ASR directly (word timestamps for subtitles)

from tools.analysis.dashscope_asr import DashscopeAsr

result = DashscopeAsr().execute({
    "audio_url": "https://example.com/narration.wav",
    "output_path": "projects/my-video/assets/audio/transcription.json",
})

# result.data["words"] is a flat list of {text, begin_time_seconds, end_time_seconds}

Recommended Workflow

1. Image: Generate a sample first. Check prompt_extend: true (default) — DashScope rewrites your prompt for better results. Disable if you need literal prompt adherence.
2. TTS: Generate a 10-15 second sample before full narration. Approve voice and pacing before committing to full generation.
3. ASR: Audio must be at a publicly accessible URL. Upload to any public host (S3, etc.) first. Local paths are rejected with a clear error.
4. Subtitles: Build from result.data["words"] — each word has begin_time_seconds and end_time_seconds. Group words into caption phrases by language semantics, not fixed character count.

Parameters

Image (dashscope_image)

• prompt (required): text prompt
• model: default qwen-image-2.0-pro
• size: default "1024*1024" — asterisk separator, not "x"
• n: 1-6 images
• negative_prompt: things to avoid (max 500 chars)
• prompt_extend: default true — auto-rewrite prompt for better results
• watermark: default false
• seed: for reproducibility

TTS (dashscope_tts)

• text (required): text to synthesize (max 600 chars for qwen3-tts-flash)
• model: default qwen3-tts-flash
• voice: default "Cherry" — other voices: "Ethan", "Chelsie", etc.
• language_type: default "Auto" — "Chinese", "English", "Japanese", "Korean"
• instructions: natural language delivery instructions (only for qwen3-tts-instruct-flash)

ASR (dashscope_asr)

• audio_url (required): must be publicly accessible URL
• model: qwen3-asr-flash-filetrans (only model that supports word timestamps)
• language_hints: default ["zh", "en"]
• enable_words: default true — required for word-level timestamps
• poll_interval_seconds: default 5.0
• timeout_seconds: default 300

Troubleshooting

• Image size error: Use "W*H" with asterisk, not "WxH". Example: "2048*2048".
• TTS no audio URL: Check output.audio.url — if empty, the model name or voice may be wrong.
• ASR "file not accessible": audio_url must be publicly reachable. DashScope servers fetch the file; local paths and auth-gated URLs don't work.
• ASR poll timeout: Increase timeout_seconds (default 300). Long audio files take longer to transcribe.
• ASR no word timestamps: Ensure enable_words: true and model is qwen3-asr-flash-filetrans (not the sync qwen3-asr-flash).
• Auth error (401): Verify DASHSCOPE_API_KEY is set. Use Authorization: Bearer $KEY header.

Safety

Never print or write the API key to logs, metadata, patches, or project artifacts. .env.example should contain only empty variable names. The tool's _safe_error() method redacts the key from error messages.