feat: add DashScope adapter for Qwen3-ASR real-time speech recognition

[devin-ai-integration]

feat: add DashScope adapter for Qwen3-ASR real-time STT

Summary

Adds a new DashScopeAdapter for Alibaba Cloud's DashScope platform (Model Studio), supporting the Qwen3-ASR real-time speech recognition model via WebSocket. Batch transcription is stubbed as a no-op per request.

DashScope's real-time API uses a WebSocket protocol very similar to OpenAI's Realtime API (same event names like session.created, input_audio_buffer.speech_started, conversation.item.input_audio_transcription.completed), with DashScope-specific differences in the session config structure and a .text event instead of OpenAI's .delta for streaming transcripts.

Provider naming rationale: "DashScope" is the API platform name (like "OpenAI"), while "Qwen3-ASR" is just a model within it. Both the China (dashscope.aliyuncs.com) and International (dashscope-intl.aliyuncs.com) endpoints use the same protocol — the adapter handles both via URL-based region detection, defaulting to International.

Files changed:

• adapter/dashscope/mod.rs — DashScopeAdapter struct, URL building, language support
• adapter/dashscope/live.rs — RealtimeSttAdapter impl (WebSocket session config, audio encoding, response parsing)
• adapter/dashscope/batch.rs — No-op BatchSttAdapter impl
• providers.rs — New Provider::DashScope variant with all required provider metadata
• adapter/mod.rs — New AdapterKind::DashScope, wired into language support and provider mapping
• lib.rs — Export DashScopeAdapter

Review & Testing Checklist for Human

• Session update JSON format: The initial_message sends a session.update with modalities, transcription (containing model, language, input_audio_format, input_sample_rate), and turn_detection. This was inferred from the DashScope SDK sample code, but the exact wire format has not been validated against a live connection. The Java SDK wraps this through OmniRealtimeConfig / updateSession() — the actual JSON shape may differ.
• Finalize message: Uses input_audio_buffer.commit (same as OpenAI). The DashScope SDK sample calls conversation.endSession() which may send a different message (the code comment mentions session.finish). Needs verification.
• Event name .text vs .delta: DashScope uses conversation.item.input_audio_transcription.text for streaming deltas (vs OpenAI's .delta). Verify this matches real server responses.
• Domain aliyuncs.com breadth: The domain match will capture all *.aliyuncs.com subdomains (including non-DashScope services like OSS). Consider whether this needs to be narrowed.

Recommended test plan: Connect to wss://dashscope-intl.aliyuncs.com/api-ws/v1/realtime with a valid DASHSCOPE_API_KEY and stream audio to verify the session handshake and transcription events work as expected. The ignored tests in live.rs can be run with cargo test -p owhisper-client -- --ignored test_build_single.

Notes

• Batch transcription intentionally returns an error — DashScope's FileTrans API requires a publicly accessible file URL rather than direct upload, which doesn't fit the current BatchSttAdapter trait signature.
• Language support returns NoData quality (same as OpenAI/Fireworks adapters for new integrations).

Link to Devin run: https://app.devin.ai/sessions/87af043c71fa4b2bb3d49717a3235510
Requested by: @yujonglee

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